# Startup issues with ES 1.3.5

**URL:** https://discuss.elastic.co/t/startup-issues-with-es-1-3-5/21068
**Category:** Elasticsearch
**Created:** [December 3, 2014, 8:52pm UTC](https://discuss.elastic.co/t/startup-issues-with-es-1-3-5/21068 "2014-12-03T20:52:58Z")
**Posts on this page:** 20
**Page:** 1

<div class="post-metadata">

### Author: ![Jeff\_Keller](https://avatars.discourse-cdn.com/v4/letter/j/d9b06d/32.png) [@Jeff\_Keller](https://discuss.elastic.co/u/Jeff_Keller)
#### Post date: [December 3, 2014, 8:52pm UTC](https://discuss.elastic.co/t/startup-issues-with-es-1-3-5/21068/1 "2014-12-03T20:52:58Z")

</div>

ES Version: 1.3.5

OS: Ubuntu 14.04.1 LTS

Machine: 2 Intel(R) Xeon(R) CPU E5-2670 v2 @ 2.50GHz, 8 GB RAM at AWS

master (ip-10-0-1-18), 2 data nodes (ip-10-0-1-19, ip-10-0-1-20)

_After upgrading from ES 1.1.2..._

1. Startup ES on master
2. All nodes join cluster
3. [2014-12-03 20:30:54,789][INFO][gateway]  
[ip-10-0-1-18.ec2.internal] recovered [157] indices into cluster\_state
4. Checked health a few times

curl -XGET localhost:9200/\_cat/health?v

1. 6 minutes after cluster recovery initiates (and 5:20 after the recovery  
finishes), the log on the master node (10.0.1.18) reports:

[2014-12-03 20:36:57,532][DEBUG][action.admin.cluster.node.stats]  
[ip-10-0-1-18.ec2.internal] failed to execute on node  
[pYi3z5PgRh6msJX\_armz\_A]

org.elasticsearch.transport.ReceiveTimeoutTransportException:  
[ip-10-0-1-20.ec2.internal][inet[/10.0.1.20:9300]][cluster/nodes/stats/n]  
request\_id [17564] timed out after [15001ms]

at  
org.elasticsearch.transport.TransportService$TimeoutHandler.run(TransportService.java:356)

at  
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)

at  
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)

at java.lang.Thread.run(Thread.java:745)

1. Every 30 seconds or 60 seconds, the above error is reported for one or  
more of the data nodes

2. During this time, queries (search, index, etc.) don’t return. They hang  
until the error state temporarily resolves itself (a varying time around  
15-20 minutes) at which point the expected result is returned.

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<div class="post-metadata">

### Author: ![Support\_Monkey](https://avatars.discourse-cdn.com/v4/letter/s/e95f7d/32.png) [@Support\_Monkey](https://discuss.elastic.co/u/Support_Monkey)
#### Post date: [December 4, 2014, 8:29pm UTC](https://discuss.elastic.co/t/startup-issues-with-es-1-3-5/21068/2 "2014-12-04T20:29:23Z")

</div>

Generally ReceiveTimeoutTransportException is due to network disconnects or  
a node failing to respond due to heavy load. What does the log  
of pYi3z5PgRh6msJX\_armz\_A show you? Perhaps it has too little heap  
allocated. Rule of thumb is 1/2 available memory but \<= 31GB

On Wednesday, December 3, 2014 12:52:58 PM UTC-8, Jeff Keller wrote:

> ES Version: 1.3.5
> 
> OS: Ubuntu 14.04.1 LTS
> 
> Machine: 2 Intel(R) Xeon(R) CPU E5-2670 v2 @ 2.50GHz, 8 GB RAM at AWS
> 
> master (ip-10-0-1-18), 2 data nodes (ip-10-0-1-19, ip-10-0-1-20)
> 
> _After upgrading from ES 1.1.2..._
> 
> 1. Startup ES on master
> 2. All nodes join cluster
> 3. [2014-12-03 20:30:54,789][INFO][gateway]  
> [ip-10-0-1-18.ec2.internal] recovered [157] indices into cluster\_state
> 4. Checked health a few times
> 
> curl -XGET localhost:9200/\_cat/health?v
> 
> 1. 6 minutes after cluster recovery initiates (and 5:20 after the recovery  
> finishes), the log on the master node (10.0.1.18) reports:
> 
> [2014-12-03 20:36:57,532][DEBUG][action.admin.cluster.node.stats]  
> [ip-10-0-1-18.ec2.internal] failed to execute on node  
> [pYi3z5PgRh6msJX\_armz\_A]
> 
> org.elasticsearch.transport.ReceiveTimeoutTransportException:  
> [ip-10-0-1-20.ec2.internal][inet[/10.0.1.20:9300]][cluster/nodes/stats/n]  
> request\_id [17564] timed out after [15001ms]
> 
> at  
> org.elasticsearch.transport.TransportService$TimeoutHandler.run(TransportService.java:356)
> 
> at  
> java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
> 
> at  
> java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
> 
> at java.lang.Thread.run(Thread.java:745)
> 
> 1. Every 30 seconds or 60 seconds, the above error is reported for one or  
> more of the data nodes
> 
> 2. During this time, queries (search, index, etc.) don’t return. They hang  
> until the error state temporarily resolves itself (a varying time around  
> 15-20 minutes) at which point the expected result is returned.

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<div class="post-metadata">

### Author: ![Chris\_Moore](https://sea2.discourse-cdn.com/elastic/user_avatar/discuss.elastic.co/chris_moore/32/1036_2.png) [@Chris\_Moore](https://discuss.elastic.co/u/Chris_Moore)
#### Post date: [December 4, 2014, 8:45pm UTC](https://discuss.elastic.co/t/startup-issues-with-es-1-3-5/21068/3 "2014-12-04T20:45:58Z")

</div>

There is nothing (literally) in the log of either data node after the node  
joined events and nothing in the master log between index recovery and the  
first error message.

There are 0 queries run before the errors start occurring (access to the  
nodes is blocked via a firewall, so the only communications are between the  
nodes). We have 50% of the RAM allocated to the heap on each node (4GB  
each).

This cluster operated without issue under 1.1.2. Did something change  
between 1.1.2 and 1.3.5 that drastically increased idle heap requirements?

On Thursday, December 4, 2014 3:29:23 PM UTC-5, Support Monkey wrote:

> Generally ReceiveTimeoutTransportException is due to network disconnects  
> or a node failing to respond due to heavy load. What does the log  
> of pYi3z5PgRh6msJX\_armz\_A show you? Perhaps it has too little heap  
> allocated. Rule of thumb is 1/2 available memory but \<= 31GB
> 
> On Wednesday, December 3, 2014 12:52:58 PM UTC-8, Jeff Keller wrote:
> 
> > ES Version: 1.3.5
> > 
> > OS: Ubuntu 14.04.1 LTS
> > 
> > Machine: 2 Intel(R) Xeon(R) CPU E5-2670 v2 @ 2.50GHz, 8 GB RAM at AWS
> > 
> > master (ip-10-0-1-18), 2 data nodes (ip-10-0-1-19, ip-10-0-1-20)
> > 
> > _After upgrading from ES 1.1.2..._
> > 
> > 1. Startup ES on master
> > 2. All nodes join cluster
> > 3. [2014-12-03 20:30:54,789][INFO][gateway]  
> > [ip-10-0-1-18.ec2.internal] recovered [157] indices into cluster\_state
> > 4. Checked health a few times
> > 
> > curl -XGET localhost:9200/\_cat/health?v
> > 
> > 1. 6 minutes after cluster recovery initiates (and 5:20 after the  
> > recovery finishes), the log on the master node (10.0.1.18) reports:
> > 
> > [2014-12-03 20:36:57,532][DEBUG][action.admin.cluster.node.stats]  
> > [ip-10-0-1-18.ec2.internal] failed to execute on node  
> > [pYi3z5PgRh6msJX\_armz\_A]
> > 
> > org.elasticsearch.transport.ReceiveTimeoutTransportException:  
> > [ip-10-0-1-20.ec2.internal][inet[/10.0.1.20:9300]][cluster/nodes/stats/n]  
> > request\_id [17564] timed out after [15001ms]
> > 
> > at  
> > org.elasticsearch.transport.TransportService$TimeoutHandler.run(TransportService.java:356)
> > 
> > at  
> > java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
> > 
> > at  
> > java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
> > 
> > at java.lang.Thread.run(Thread.java:745)
> > 
> > 1. Every 30 seconds or 60 seconds, the above error is reported for one or  
> > more of the data nodes
> > 
> > 2. During this time, queries (search, index, etc.) don’t return. They  
> > hang until the error state temporarily resolves itself (a varying time  
> > around 15-20 minutes) at which point the expected result is returned.

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### Author: ![Support\_Monkey](https://avatars.discourse-cdn.com/v4/letter/s/e95f7d/32.png) [@Support\_Monkey](https://discuss.elastic.co/u/Support_Monkey)
#### Post date: [December 4, 2014, 9:10pm UTC](https://discuss.elastic.co/t/startup-issues-with-es-1-3-5/21068/4 "2014-12-04T21:10:37Z")

</div>

I would think the network is a prime suspect then, as there is no  
significant difference between 1.2.x and 1.3.x in relation to memory usage.  
And you'd certainly see OOMs in node logs if it was a memory issue.

On Thursday, December 4, 2014 12:45:58 PM UTC-8, Chris Moore wrote:

> There is nothing (literally) in the log of either data node after the node  
> joined events and nothing in the master log between index recovery and the  
> first error message.
> 
> There are 0 queries run before the errors start occurring (access to the  
> nodes is blocked via a firewall, so the only communications are between the  
> nodes). We have 50% of the RAM allocated to the heap on each node (4GB  
> each).
> 
> This cluster operated without issue under 1.1.2. Did something change  
> between 1.1.2 and 1.3.5 that drastically increased idle heap requirements?
> 
> On Thursday, December 4, 2014 3:29:23 PM UTC-5, Support Monkey wrote:
> 
> > Generally ReceiveTimeoutTransportException is due to network disconnects  
> > or a node failing to respond due to heavy load. What does the log  
> > of pYi3z5PgRh6msJX\_armz\_A show you? Perhaps it has too little heap  
> > allocated. Rule of thumb is 1/2 available memory but \<= 31GB
> > 
> > On Wednesday, December 3, 2014 12:52:58 PM UTC-8, Jeff Keller wrote:
> > 
> > > ES Version: 1.3.5
> > > 
> > > OS: Ubuntu 14.04.1 LTS
> > > 
> > > Machine: 2 Intel(R) Xeon(R) CPU E5-2670 v2 @ 2.50GHz, 8 GB RAM at AWS
> > > 
> > > master (ip-10-0-1-18), 2 data nodes (ip-10-0-1-19, ip-10-0-1-20)
> > > 
> > > _After upgrading from ES 1.1.2..._
> > > 
> > > 1. Startup ES on master
> > > 2. All nodes join cluster
> > > 3. [2014-12-03 20:30:54,789][INFO][gateway]  
> > > [ip-10-0-1-18.ec2.internal] recovered [157] indices into cluster\_state
> > > 4. Checked health a few times
> > > 
> > > curl -XGET localhost:9200/\_cat/health?v
> > > 
> > > 1. 6 minutes after cluster recovery initiates (and 5:20 after the  
> > > recovery finishes), the log on the master node (10.0.1.18) reports:
> > > 
> > > [2014-12-03 20:36:57,532][DEBUG][action.admin.cluster.node.stats]  
> > > [ip-10-0-1-18.ec2.internal] failed to execute on node  
> > > [pYi3z5PgRh6msJX\_armz\_A]
> > > 
> > > org.elasticsearch.transport.ReceiveTimeoutTransportException:  
> > > [ip-10-0-1-20.ec2.internal][inet[/10.0.1.20:9300]][cluster/nodes/stats/n]  
> > > request\_id [17564] timed out after [15001ms]
> > > 
> > > at  
> > > org.elasticsearch.transport.TransportService$TimeoutHandler.run(TransportService.java:356)
> > > 
> > > at  
> > > java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
> > > 
> > > at  
> > > java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
> > > 
> > > at java.lang.Thread.run(Thread.java:745)
> > > 
> > > 1. Every 30 seconds or 60 seconds, the above error is reported for one  
> > > or more of the data nodes
> > > 
> > > 2. During this time, queries (search, index, etc.) don’t return. They  
> > > hang until the error state temporarily resolves itself (a varying time  
> > > around 15-20 minutes) at which point the expected result is returned.

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<div class="post-metadata">

### Author: ![Chris\_Moore](https://sea2.discourse-cdn.com/elastic/user_avatar/discuss.elastic.co/chris_moore/32/1036_2.png) [@Chris\_Moore](https://discuss.elastic.co/u/Chris_Moore)
#### Post date: [December 5, 2014, 3:10pm UTC](https://discuss.elastic.co/t/startup-issues-with-es-1-3-5/21068/5 "2014-12-05T15:10:13Z")

</div>

This is running on Amazon EC2 in a VPC on dedicated instances. Physical  
network infrastructure is likely fine. Are there specific network issues  
you think we should look into?

When we are in a problem state, we can communicate between the nodes just  
fine. I can run curl requests to ES (health checks, etc) from the master  
node to the data nodes directly and they return as expected. So, there  
doesn't seem to be a socket exhaustion issue (additionally there are no  
kernel errors being reported).

It feels like there is a queue/buffer filling up somewhere that once it has  
availability again, things start working. But, /\_cat/thread\_pool?v doesn't  
show anything above 0 (although, when we are in the problem state, it  
doesn't return a response if run on master), nodes/hot\_threads doesn't show  
anything going on, etc.

On Thursday, December 4, 2014 4:10:37 PM UTC-5, Support Monkey wrote:

> I would think the network is a prime suspect then, as there is no  
> significant difference between 1.2.x and 1.3.x in relation to memory usage.  
> And you'd certainly see OOMs in node logs if it was a memory issue.
> 
> On Thursday, December 4, 2014 12:45:58 PM UTC-8, Chris Moore wrote:
> 
> > There is nothing (literally) in the log of either data node after the  
> > node joined events and nothing in the master log between index recovery and  
> > the first error message.
> > 
> > There are 0 queries run before the errors start occurring (access to the  
> > nodes is blocked via a firewall, so the only communications are between the  
> > nodes). We have 50% of the RAM allocated to the heap on each node (4GB  
> > each).
> > 
> > This cluster operated without issue under 1.1.2. Did something change  
> > between 1.1.2 and 1.3.5 that drastically increased idle heap requirements?
> > 
> > On Thursday, December 4, 2014 3:29:23 PM UTC-5, Support Monkey wrote:
> > 
> > > Generally ReceiveTimeoutTransportException is due to network disconnects  
> > > or a node failing to respond due to heavy load. What does the log  
> > > of pYi3z5PgRh6msJX\_armz\_A show you? Perhaps it has too little heap  
> > > allocated. Rule of thumb is 1/2 available memory but \<= 31GB
> > > 
> > > On Wednesday, December 3, 2014 12:52:58 PM UTC-8, Jeff Keller wrote:
> > > 
> > > > ES Version: 1.3.5
> > > > 
> > > > OS: Ubuntu 14.04.1 LTS
> > > > 
> > > > Machine: 2 Intel(R) Xeon(R) CPU E5-2670 v2 @ 2.50GHz, 8 GB RAM at AWS
> > > > 
> > > > master (ip-10-0-1-18), 2 data nodes (ip-10-0-1-19, ip-10-0-1-20)
> > > > 
> > > > _After upgrading from ES 1.1.2..._
> > > > 
> > > > 1. Startup ES on master
> > > > 2. All nodes join cluster
> > > > 3. [2014-12-03 20:30:54,789][INFO][gateway]  
> > > > [ip-10-0-1-18.ec2.internal] recovered [157] indices into cluster\_state
> > > > 4. Checked health a few times
> > > > 
> > > > curl -XGET localhost:9200/\_cat/health?v
> > > > 
> > > > 1. 6 minutes after cluster recovery initiates (and 5:20 after the  
> > > > recovery finishes), the log on the master node (10.0.1.18) reports:
> > > > 
> > > > [2014-12-03 20:36:57,532][DEBUG][action.admin.cluster.node.stats]  
> > > > [ip-10-0-1-18.ec2.internal] failed to execute on node  
> > > > [pYi3z5PgRh6msJX\_armz\_A]
> > > > 
> > > > org.elasticsearch.transport.ReceiveTimeoutTransportException:  
> > > > [ip-10-0-1-20.ec2.internal][inet[/10.0.1.20:9300]][cluster/nodes/stats/n]  
> > > > request\_id [17564] timed out after [15001ms]
> > > > 
> > > > at  
> > > > org.elasticsearch.transport.TransportService$TimeoutHandler.run(TransportService.java:356)
> > > > 
> > > > at  
> > > > java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
> > > > 
> > > > at  
> > > > java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
> > > > 
> > > > at java.lang.Thread.run(Thread.java:745)
> > > > 
> > > > 1. Every 30 seconds or 60 seconds, the above error is reported for one  
> > > > or more of the data nodes
> > > > 
> > > > 2. During this time, queries (search, index, etc.) don’t return. They  
> > > > hang until the error state temporarily resolves itself (a varying time  
> > > > around 15-20 minutes) at which point the expected result is returned.

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<div class="post-metadata">

### Author: ![Support\_Monkey](https://avatars.discourse-cdn.com/v4/letter/s/e95f7d/32.png) [@Support\_Monkey](https://discuss.elastic.co/u/Support_Monkey)
#### Post date: [December 5, 2014, 7:39pm UTC](https://discuss.elastic.co/t/startup-issues-with-es-1-3-5/21068/6 "2014-12-05T19:39:27Z")

</div>

I see. When you say the data nodes have literally nothing in their logs,  
you mean they aren't logging anything or just nothing interesting?

On Friday, December 5, 2014 7:10:13 AM UTC-8, Chris Moore wrote:

> This is running on Amazon EC2 in a VPC on dedicated instances. Physical  
> network infrastructure is likely fine. Are there specific network issues  
> you think we should look into?
> 
> When we are in a problem state, we can communicate between the nodes just  
> fine. I can run curl requests to ES (health checks, etc) from the master  
> node to the data nodes directly and they return as expected. So, there  
> doesn't seem to be a socket exhaustion issue (additionally there are no  
> kernel errors being reported).
> 
> It feels like there is a queue/buffer filling up somewhere that once it  
> has availability again, things start working. But, /\_cat/thread\_pool?v  
> doesn't show anything above 0 (although, when we are in the problem state,  
> it doesn't return a response if run on master), nodes/hot\_threads doesn't  
> show anything going on, etc.
> 
> On Thursday, December 4, 2014 4:10:37 PM UTC-5, Support Monkey wrote:
> 
> > I would think the network is a prime suspect then, as there is no  
> > significant difference between 1.2.x and 1.3.x in relation to memory usage.  
> > And you'd certainly see OOMs in node logs if it was a memory issue.
> > 
> > On Thursday, December 4, 2014 12:45:58 PM UTC-8, Chris Moore wrote:
> > 
> > > There is nothing (literally) in the log of either data node after the  
> > > node joined events and nothing in the master log between index recovery and  
> > > the first error message.
> > > 
> > > There are 0 queries run before the errors start occurring (access to the  
> > > nodes is blocked via a firewall, so the only communications are between the  
> > > nodes). We have 50% of the RAM allocated to the heap on each node (4GB  
> > > each).
> > > 
> > > This cluster operated without issue under 1.1.2. Did something change  
> > > between 1.1.2 and 1.3.5 that drastically increased idle heap requirements?
> > > 
> > > On Thursday, December 4, 2014 3:29:23 PM UTC-5, Support Monkey wrote:
> > > 
> > > > Generally ReceiveTimeoutTransportException is due to network  
> > > > disconnects or a node failing to respond due to heavy load. What does the  
> > > > log of pYi3z5PgRh6msJX\_armz\_A show you? Perhaps it has too little heap  
> > > > allocated. Rule of thumb is 1/2 available memory but \<= 31GB
> > > > 
> > > > On Wednesday, December 3, 2014 12:52:58 PM UTC-8, Jeff Keller wrote:
> > > > 
> > > > > ES Version: 1.3.5
> > > > > 
> > > > > OS: Ubuntu 14.04.1 LTS
> > > > > 
> > > > > Machine: 2 Intel(R) Xeon(R) CPU E5-2670 v2 @ 2.50GHz, 8 GB RAM at AWS
> > > > > 
> > > > > master (ip-10-0-1-18), 2 data nodes (ip-10-0-1-19, ip-10-0-1-20)
> > > > > 
> > > > > _After upgrading from ES 1.1.2..._
> > > > > 
> > > > > 1. Startup ES on master
> > > > > 2. All nodes join cluster
> > > > > 3. [2014-12-03 20:30:54,789][INFO][gateway]  
> > > > > [ip-10-0-1-18.ec2.internal] recovered [157] indices into cluster\_state
> > > > > 4. Checked health a few times
> > > > > 
> > > > > curl -XGET localhost:9200/\_cat/health?v
> > > > > 
> > > > > 1. 6 minutes after cluster recovery initiates (and 5:20 after the  
> > > > > recovery finishes), the log on the master node (10.0.1.18) reports:
> > > > > 
> > > > > [2014-12-03 20:36:57,532][DEBUG][action.admin.cluster.node.stats]  
> > > > > [ip-10-0-1-18.ec2.internal] failed to execute on node  
> > > > > [pYi3z5PgRh6msJX\_armz\_A]
> > > > > 
> > > > > org.elasticsearch.transport.ReceiveTimeoutTransportException:  
> > > > > [ip-10-0-1-20.ec2.internal][inet[/10.0.1.20:9300]][cluster/nodes/stats/n]  
> > > > > request\_id [17564] timed out after [15001ms]
> > > > > 
> > > > > at  
> > > > > org.elasticsearch.transport.TransportService$TimeoutHandler.run(TransportService.java:356)
> > > > > 
> > > > > at  
> > > > > java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
> > > > > 
> > > > > at  
> > > > > java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
> > > > > 
> > > > > at java.lang.Thread.run(Thread.java:745)
> > > > > 
> > > > > 1. Every 30 seconds or 60 seconds, the above error is reported for one  
> > > > > or more of the data nodes
> > > > > 
> > > > > 2. During this time, queries (search, index, etc.) don’t return. They  
> > > > > hang until the error state temporarily resolves itself (a varying time  
> > > > > around 15-20 minutes) at which point the expected result is returned.

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<div class="post-metadata">

### Author: ![jprante](https://sea2.discourse-cdn.com/elastic/user_avatar/discuss.elastic.co/jprante/32/44941_2.png) [@jprante](https://discuss.elastic.co/u/jprante)
#### Post date: [December 5, 2014, 7:59pm UTC](https://discuss.elastic.co/t/startup-issues-with-es-1-3-5/21068/7 "2014-12-05T19:59:04Z")

</div>

Do you have a monitor tool running?

I recommend to switch it off, and optimize your indices, and then update  
your monitoring tools.

Seems you have many segments/slow disk to get them reported in 15s.

Jörg  
Am 05.12.2014 16:10 schrieb "Chris Moore" [cmoore@perceivant.com](mailto:cmoore@perceivant.com):

> This is running on Amazon EC2 in a VPC on dedicated instances. Physical  
> network infrastructure is likely fine. Are there specific network issues  
> you think we should look into?
> 
> When we are in a problem state, we can communicate between the nodes just  
> fine. I can run curl requests to ES (health checks, etc) from the master  
> node to the data nodes directly and they return as expected. So, there  
> doesn't seem to be a socket exhaustion issue (additionally there are no  
> kernel errors being reported).
> 
> It feels like there is a queue/buffer filling up somewhere that once it  
> has availability again, things start working. But, /\_cat/thread\_pool?v  
> doesn't show anything above 0 (although, when we are in the problem state,  
> it doesn't return a response if run on master), nodes/hot\_threads doesn't  
> show anything going on, etc.
> 
> On Thursday, December 4, 2014 4:10:37 PM UTC-5, Support Monkey wrote:
> 
> > I would think the network is a prime suspect then, as there is no  
> > significant difference between 1.2.x and 1.3.x in relation to memory usage.  
> > And you'd certainly see OOMs in node logs if it was a memory issue.
> > 
> > On Thursday, December 4, 2014 12:45:58 PM UTC-8, Chris Moore wrote:
> > 
> > > There is nothing (literally) in the log of either data node after the  
> > > node joined events and nothing in the master log between index recovery and  
> > > the first error message.
> > > 
> > > There are 0 queries run before the errors start occurring (access to the  
> > > nodes is blocked via a firewall, so the only communications are between the  
> > > nodes). We have 50% of the RAM allocated to the heap on each node (4GB  
> > > each).
> > > 
> > > This cluster operated without issue under 1.1.2. Did something change  
> > > between 1.1.2 and 1.3.5 that drastically increased idle heap requirements?
> > > 
> > > On Thursday, December 4, 2014 3:29:23 PM UTC-5, Support Monkey wrote:
> > > 
> > > > Generally ReceiveTimeoutTransportException is due to network  
> > > > disconnects or a node failing to respond due to heavy load. What does the  
> > > > log of pYi3z5PgRh6msJX\_armz\_A show you? Perhaps it has too little heap  
> > > > allocated. Rule of thumb is 1/2 available memory but \<= 31GB
> > > > 
> > > > On Wednesday, December 3, 2014 12:52:58 PM UTC-8, Jeff Keller wrote:
> > > > 
> > > > > ES Version: 1.3.5
> > > > > 
> > > > > OS: Ubuntu 14.04.1 LTS
> > > > > 
> > > > > Machine: 2 Intel(R) Xeon(R) CPU E5-2670 v2 @ 2.50GHz, 8 GB RAM at AWS
> > > > > 
> > > > > master (ip-10-0-1-18), 2 data nodes (ip-10-0-1-19, ip-10-0-1-20)
> > > > > 
> > > > > _After upgrading from ES 1.1.2..._
> > > > > 
> > > > > 1. Startup ES on master
> > > > > 2. All nodes join cluster
> > > > > 3. [2014-12-03 20:30:54,789][INFO][gateway]  
> > > > > [ip-10-0-1-18.ec2.internal] recovered [157] indices into cluster\_state
> > > > > 4. Checked health a few times
> > > > > 
> > > > > curl -XGET localhost:9200/\_cat/health?v
> > > > > 
> > > > > 1. 6 minutes after cluster recovery initiates (and 5:20 after the  
> > > > > recovery finishes), the log on the master node (10.0.1.18) reports:
> > > > > 
> > > > > [2014-12-03 20:36:57,532][DEBUG][action.admin.cluster.node.stats]  
> > > > > [ip-10-0-1-18.ec2.internal] failed to execute on node  
> > > > > [pYi3z5PgRh6msJX\_armz\_A]
> > > > > 
> > > > > org.elasticsearch.transport.ReceiveTimeoutTransportException:  
> > > > > [ip-10-0-1-20.ec2.internal][inet[/10.0.1.20:9300]][cluster/nodes/stats/n]  
> > > > > request\_id [17564] timed out after [15001ms]
> > > > > 
> > > > > at org.elasticsearch.transport.TransportService$TimeoutHandler.run(  
> > > > > TransportService.java:356)
> > > > > 
> > > > > at java.util.concurrent.ThreadPoolExecutor.runWorker(  
> > > > > ThreadPoolExecutor.java:1145)
> > > > > 
> > > > > at java.util.concurrent.ThreadPoolExecutor$Worker.run(  
> > > > > ThreadPoolExecutor.java:615)
> > > > > 
> > > > > at java.lang.Thread.run(Thread.java:745)
> > > > > 
> > > > > 1. Every 30 seconds or 60 seconds, the above error is reported for one  
> > > > > or more of the data nodes
> > > > > 
> > > > > 2. During this time, queries (search, index, etc.) don’t return. They  
> > > > > hang until the error state temporarily resolves itself (a varying time  
> > > > > around 15-20 minutes) at which point the expected result is returned.
> > > > > 
> > > > > --  
> > > > > You received this message because you are subscribed to the Google Groups  
> > > > > "elasticsearch" group.  
> > > > > To unsubscribe from this group and stop receiving emails from it, send an  
> > > > > email to [elasticsearch+unsubscribe@googlegroups.com](mailto:elasticsearch+unsubscribe@googlegroups.com).  
> > > > > To view this discussion on the web visit  
> > > > > [https://groups.google.com/d/msgid/elasticsearch/99a45801-2b95-4a21-a6bf-ca724f41bbc2%40googlegroups.com](https://groups.google.com/d/msgid/elasticsearch/99a45801-2b95-4a21-a6bf-ca724f41bbc2%40googlegroups.com)  
> > > > > [https://groups.google.com/d/msgid/elasticsearch/99a45801-2b95-4a21-a6bf-ca724f41bbc2%40googlegroups.com?utm\_medium=email&utm\_source=footer](https://groups.google.com/d/msgid/elasticsearch/99a45801-2b95-4a21-a6bf-ca724f41bbc2%40googlegroups.com?utm_medium=email&utm_source=footer)  
> > > > > .  
> > > > > For more options, visit [https://groups.google.com/d/optout](https://groups.google.com/d/optout).

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<div class="post-metadata">

### Author: ![Chris\_Moore](https://sea2.discourse-cdn.com/elastic/user_avatar/discuss.elastic.co/chris_moore/32/1036_2.png) [@Chris\_Moore](https://discuss.elastic.co/u/Chris_Moore)
#### Post date: [December 5, 2014, 8:30pm UTC](https://discuss.elastic.co/t/startup-issues-with-es-1-3-5/21068/8 "2014-12-05T20:30:17Z")

</div>

I mean they aren't logging anything (until I send the shutdown command, a  
node leaves, etc). It's not that I feel like there's an issue with the  
logging; the data nodes just have nothing to log because everything seems  
fine to them. I have attached a log from one of the data nodes showing this  
with a notation of when the master node first reported an error and when I  
issued SIGTERM to all of the ES instances.

On Friday, December 5, 2014 2:39:27 PM UTC-5, Support Monkey wrote:

> I see. When you say the data nodes have literally nothing in their logs,  
> you mean they aren't logging anything or just nothing interesting?
> 
> On Friday, December 5, 2014 7:10:13 AM UTC-8, Chris Moore wrote:
> 
> > This is running on Amazon EC2 in a VPC on dedicated instances. Physical  
> > network infrastructure is likely fine. Are there specific network issues  
> > you think we should look into?
> > 
> > When we are in a problem state, we can communicate between the nodes just  
> > fine. I can run curl requests to ES (health checks, etc) from the master  
> > node to the data nodes directly and they return as expected. So, there  
> > doesn't seem to be a socket exhaustion issue (additionally there are no  
> > kernel errors being reported).
> > 
> > It feels like there is a queue/buffer filling up somewhere that once it  
> > has availability again, things start working. But, /\_cat/thread\_pool?v  
> > doesn't show anything above 0 (although, when we are in the problem state,  
> > it doesn't return a response if run on master), nodes/hot\_threads doesn't  
> > show anything going on, etc.
> > 
> > On Thursday, December 4, 2014 4:10:37 PM UTC-5, Support Monkey wrote:
> > 
> > > I would think the network is a prime suspect then, as there is no  
> > > significant difference between 1.2.x and 1.3.x in relation to memory usage.  
> > > And you'd certainly see OOMs in node logs if it was a memory issue.
> > > 
> > > On Thursday, December 4, 2014 12:45:58 PM UTC-8, Chris Moore wrote:
> > > 
> > > > There is nothing (literally) in the log of either data node after the  
> > > > node joined events and nothing in the master log between index recovery and  
> > > > the first error message.
> > > > 
> > > > There are 0 queries run before the errors start occurring (access to  
> > > > the nodes is blocked via a firewall, so the only communications are between  
> > > > the nodes). We have 50% of the RAM allocated to the heap on each node (4GB  
> > > > each).
> > > > 
> > > > This cluster operated without issue under 1.1.2. Did something change  
> > > > between 1.1.2 and 1.3.5 that drastically increased idle heap requirements?
> > > > 
> > > > On Thursday, December 4, 2014 3:29:23 PM UTC-5, Support Monkey wrote:
> > > > 
> > > > > Generally ReceiveTimeoutTransportException is due to network  
> > > > > disconnects or a node failing to respond due to heavy load. What does the  
> > > > > log of pYi3z5PgRh6msJX\_armz\_A show you? Perhaps it has too little heap  
> > > > > allocated. Rule of thumb is 1/2 available memory but \<= 31GB
> > > > > 
> > > > > On Wednesday, December 3, 2014 12:52:58 PM UTC-8, Jeff Keller wrote:
> > > > > 
> > > > > > ES Version: 1.3.5
> > > > > > 
> > > > > > OS: Ubuntu 14.04.1 LTS
> > > > > > 
> > > > > > Machine: 2 Intel(R) Xeon(R) CPU E5-2670 v2 @ 2.50GHz, 8 GB RAM at AWS
> > > > > > 
> > > > > > master (ip-10-0-1-18), 2 data nodes (ip-10-0-1-19, ip-10-0-1-20)
> > > > > > 
> > > > > > _After upgrading from ES 1.1.2..._
> > > > > > 
> > > > > > 1. Startup ES on master
> > > > > > 2. All nodes join cluster
> > > > > > 3. [2014-12-03 20:30:54,789][INFO][gateway]  
> > > > > > [ip-10-0-1-18.ec2.internal] recovered [157] indices into cluster\_state
> > > > > > 4. Checked health a few times
> > > > > > 
> > > > > > curl -XGET localhost:9200/\_cat/health?v
> > > > > > 
> > > > > > 1. 6 minutes after cluster recovery initiates (and 5:20 after the  
> > > > > > recovery finishes), the log on the master node (10.0.1.18) reports:
> > > > > > 
> > > > > > [2014-12-03 20:36:57,532][DEBUG][action.admin.cluster.node.stats]  
> > > > > > [ip-10-0-1-18.ec2.internal] failed to execute on node  
> > > > > > [pYi3z5PgRh6msJX\_armz\_A]
> > > > > > 
> > > > > > org.elasticsearch.transport.ReceiveTimeoutTransportException:  
> > > > > > [ip-10-0-1-20.ec2.internal][inet[/10.0.1.20:9300]][cluster/nodes/stats/n]  
> > > > > > request\_id [17564] timed out after [15001ms]
> > > > > > 
> > > > > > at  
> > > > > > org.elasticsearch.transport.TransportService$TimeoutHandler.run(TransportService.java:356)
> > > > > > 
> > > > > > at  
> > > > > > java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
> > > > > > 
> > > > > > at  
> > > > > > java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
> > > > > > 
> > > > > > at java.lang.Thread.run(Thread.java:745)
> > > > > > 
> > > > > > 1. Every 30 seconds or 60 seconds, the above error is reported for  
> > > > > > one or more of the data nodes
> > > > > > 
> > > > > > 2. During this time, queries (search, index, etc.) don’t return. They  
> > > > > > hang until the error state temporarily resolves itself (a varying time  
> > > > > > around 15-20 minutes) at which point the expected result is returned.

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<div class="post-metadata">

### Author: ![Chris\_Moore](https://sea2.discourse-cdn.com/elastic/user_avatar/discuss.elastic.co/chris_moore/32/1036_2.png) [@Chris\_Moore](https://discuss.elastic.co/u/Chris_Moore)
#### Post date: [December 5, 2014, 8:43pm UTC](https://discuss.elastic.co/t/startup-issues-with-es-1-3-5/21068/9 "2014-12-05T20:43:38Z")

</div>

We disabled all monitoring before requesting help to ensure there was no  
load on ES from anything other than what it does internally.

My understanding on using optimize was it shouldn't be done on indices that  
are regularly updated and to just let the background merge process handle  
it. The majority of our indices receive regular updates, so we don't  
explicitly optimize them. I can call optimize on all of them and see if it  
helps the issue.

As for disk speed, we're using SSDs on all nodes. We have plans to switch  
to RAIDed SSDs, but haven't had the need, yet.

On Friday, December 5, 2014 2:59:11 PM UTC-5, Jörg Prante wrote:

> Do you have a monitor tool running?
> 
> I recommend to switch it off, and optimize your indices, and then update  
> your monitoring tools.
> 
> Seems you have many segments/slow disk to get them reported in 15s.
> 
> Jörg  
> Am 05.12.2014 16:10 schrieb "Chris Moore" \<[cmo...@perceivant.com](mailto:cmo...@perceivant.com)  
> \<javascript:\>\>:
> 
> > This is running on Amazon EC2 in a VPC on dedicated instances. Physical  
> > network infrastructure is likely fine. Are there specific network issues  
> > you think we should look into?
> > 
> > When we are in a problem state, we can communicate between the nodes just  
> > fine. I can run curl requests to ES (health checks, etc) from the master  
> > node to the data nodes directly and they return as expected. So, there  
> > doesn't seem to be a socket exhaustion issue (additionally there are no  
> > kernel errors being reported).
> > 
> > It feels like there is a queue/buffer filling up somewhere that once it  
> > has availability again, things start working. But, /\_cat/thread\_pool?v  
> > doesn't show anything above 0 (although, when we are in the problem state,  
> > it doesn't return a response if run on master), nodes/hot\_threads doesn't  
> > show anything going on, etc.
> > 
> > On Thursday, December 4, 2014 4:10:37 PM UTC-5, Support Monkey wrote:
> > 
> > > I would think the network is a prime suspect then, as there is no  
> > > significant difference between 1.2.x and 1.3.x in relation to memory usage.  
> > > And you'd certainly see OOMs in node logs if it was a memory issue.
> > > 
> > > On Thursday, December 4, 2014 12:45:58 PM UTC-8, Chris Moore wrote:
> > > 
> > > > There is nothing (literally) in the log of either data node after the  
> > > > node joined events and nothing in the master log between index recovery and  
> > > > the first error message.
> > > > 
> > > > There are 0 queries run before the errors start occurring (access to  
> > > > the nodes is blocked via a firewall, so the only communications are between  
> > > > the nodes). We have 50% of the RAM allocated to the heap on each node (4GB  
> > > > each).
> > > > 
> > > > This cluster operated without issue under 1.1.2. Did something change  
> > > > between 1.1.2 and 1.3.5 that drastically increased idle heap requirements?
> > > > 
> > > > On Thursday, December 4, 2014 3:29:23 PM UTC-5, Support Monkey wrote:
> > > > 
> > > > > Generally ReceiveTimeoutTransportException is due to network  
> > > > > disconnects or a node failing to respond due to heavy load. What does the  
> > > > > log of pYi3z5PgRh6msJX\_armz\_A show you? Perhaps it has too little heap  
> > > > > allocated. Rule of thumb is 1/2 available memory but \<= 31GB
> > > > > 
> > > > > On Wednesday, December 3, 2014 12:52:58 PM UTC-8, Jeff Keller wrote:
> > > > > 
> > > > > > ES Version: 1.3.5
> > > > > > 
> > > > > > OS: Ubuntu 14.04.1 LTS
> > > > > > 
> > > > > > Machine: 2 Intel(R) Xeon(R) CPU E5-2670 v2 @ 2.50GHz, 8 GB RAM at AWS
> > > > > > 
> > > > > > master (ip-10-0-1-18), 2 data nodes (ip-10-0-1-19, ip-10-0-1-20)
> > > > > > 
> > > > > > _After upgrading from ES 1.1.2..._
> > > > > > 
> > > > > > 1. Startup ES on master
> > > > > > 2. All nodes join cluster
> > > > > > 3. [2014-12-03 20:30:54,789][INFO][gateway]  
> > > > > > [ip-10-0-1-18.ec2.internal] recovered [157] indices into cluster\_state
> > > > > > 4. Checked health a few times
> > > > > > 
> > > > > > curl -XGET localhost:9200/\_cat/health?v
> > > > > > 
> > > > > > 1. 6 minutes after cluster recovery initiates (and 5:20 after the  
> > > > > > recovery finishes), the log on the master node (10.0.1.18) reports:
> > > > > > 
> > > > > > [2014-12-03 20:36:57,532][DEBUG][action.admin.cluster.node.stats]  
> > > > > > [ip-10-0-1-18.ec2.internal] failed to execute on node  
> > > > > > [pYi3z5PgRh6msJX\_armz\_A]
> > > > > > 
> > > > > > org.elasticsearch.transport.ReceiveTimeoutTransportException:  
> > > > > > [ip-10-0-1-20.ec2.internal][inet[/10.0.1.20:9300]][cluster/nodes/stats/n]  
> > > > > > request\_id [17564] timed out after [15001ms]
> > > > > > 
> > > > > > at org.elasticsearch.transport.TransportService$TimeoutHandler.run(  
> > > > > > TransportService.java:356)
> > > > > > 
> > > > > > at java.util.concurrent.ThreadPoolExecutor.runWorker(  
> > > > > > ThreadPoolExecutor.java:1145)
> > > > > > 
> > > > > > at java.util.concurrent.ThreadPoolExecutor$Worker.run(  
> > > > > > ThreadPoolExecutor.java:615)
> > > > > > 
> > > > > > at java.lang.Thread.run(Thread.java:745)
> > > > > > 
> > > > > > 1. Every 30 seconds or 60 seconds, the above error is reported for  
> > > > > > one or more of the data nodes
> > > > > > 
> > > > > > 2. During this time, queries (search, index, etc.) don’t return. They  
> > > > > > hang until the error state temporarily resolves itself (a varying time  
> > > > > > around 15-20 minutes) at which point the expected result is returned.
> > > > > > 
> > > > > > --  
> > > > > > You received this message because you are subscribed to the Google Groups  
> > > > > > "elasticsearch" group.  
> > > > > > To unsubscribe from this group and stop receiving emails from it, send an  
> > > > > > email to [elasticsearc...@googlegroups.com](mailto:elasticsearc...@googlegroups.com) \<javascript:\>.  
> > > > > > To view this discussion on the web visit  
> > > > > > [https://groups.google.com/d/msgid/elasticsearch/99a45801-2b95-4a21-a6bf-ca724f41bbc2%40googlegroups.com](https://groups.google.com/d/msgid/elasticsearch/99a45801-2b95-4a21-a6bf-ca724f41bbc2%40googlegroups.com)  
> > > > > > [https://groups.google.com/d/msgid/elasticsearch/99a45801-2b95-4a21-a6bf-ca724f41bbc2%40googlegroups.com?utm\_medium=email&utm\_source=footer](https://groups.google.com/d/msgid/elasticsearch/99a45801-2b95-4a21-a6bf-ca724f41bbc2%40googlegroups.com?utm_medium=email&utm_source=footer)  
> > > > > > .  
> > > > > > For more options, visit [https://groups.google.com/d/optout](https://groups.google.com/d/optout).

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### Author: ![Chris\_Moore](https://sea2.discourse-cdn.com/elastic/user_avatar/discuss.elastic.co/chris_moore/32/1036_2.png) [@Chris\_Moore](https://discuss.elastic.co/u/Chris_Moore)
#### Post date: [December 5, 2014, 8:57pm UTC](https://discuss.elastic.co/t/startup-issues-with-es-1-3-5/21068/10 "2014-12-05T20:57:11Z")

</div>

I replied once, but it seems to have disappeared, so if this gets double  
posted, I'm sorry.

We disabled all monitoring when we started looking into the issues to  
ensure there was no external load on ES. Everything we are currently seeing  
is just whatever activity ES generates internally.

My understanding regarding optimizing indices is that you shouldn't call it  
explicitly on indices that are regularly updating, rather you should let  
the background merge process handle things. As the majority of our indices  
regularly update, we don't explicitly call optimize on them. I can try to  
call it on them all and see if it helps.

As for disk speed, we are currently running ES on SSDs. We have it in our  
roadmap to change that to RAIDed SSDs, but it hasn't been a priority as we  
have been getting acceptable performance thus far.

On Friday, December 5, 2014 2:59:11 PM UTC-5, Jörg Prante wrote:

> Do you have a monitor tool running?
> 
> I recommend to switch it off, and optimize your indices, and then update  
> your monitoring tools.
> 
> Seems you have many segments/slow disk to get them reported in 15s.
> 
> Jörg  
> Am 05.12.2014 16:10 schrieb "Chris Moore" \<[cmo...@perceivant.com](mailto:cmo...@perceivant.com)  
> \<javascript:\>\>:
> 
> > This is running on Amazon EC2 in a VPC on dedicated instances. Physical  
> > network infrastructure is likely fine. Are there specific network issues  
> > you think we should look into?
> > 
> > When we are in a problem state, we can communicate between the nodes just  
> > fine. I can run curl requests to ES (health checks, etc) from the master  
> > node to the data nodes directly and they return as expected. So, there  
> > doesn't seem to be a socket exhaustion issue (additionally there are no  
> > kernel errors being reported).
> > 
> > It feels like there is a queue/buffer filling up somewhere that once it  
> > has availability again, things start working. But, /\_cat/thread\_pool?v  
> > doesn't show anything above 0 (although, when we are in the problem state,  
> > it doesn't return a response if run on master), nodes/hot\_threads doesn't  
> > show anything going on, etc.
> > 
> > On Thursday, December 4, 2014 4:10:37 PM UTC-5, Support Monkey wrote:
> > 
> > > I would think the network is a prime suspect then, as there is no  
> > > significant difference between 1.2.x and 1.3.x in relation to memory usage.  
> > > And you'd certainly see OOMs in node logs if it was a memory issue.
> > > 
> > > On Thursday, December 4, 2014 12:45:58 PM UTC-8, Chris Moore wrote:
> > > 
> > > > There is nothing (literally) in the log of either data node after the  
> > > > node joined events and nothing in the master log between index recovery and  
> > > > the first error message.
> > > > 
> > > > There are 0 queries run before the errors start occurring (access to  
> > > > the nodes is blocked via a firewall, so the only communications are between  
> > > > the nodes). We have 50% of the RAM allocated to the heap on each node (4GB  
> > > > each).
> > > > 
> > > > This cluster operated without issue under 1.1.2. Did something change  
> > > > between 1.1.2 and 1.3.5 that drastically increased idle heap requirements?
> > > > 
> > > > On Thursday, December 4, 2014 3:29:23 PM UTC-5, Support Monkey wrote:
> > > > 
> > > > > Generally ReceiveTimeoutTransportException is due to network  
> > > > > disconnects or a node failing to respond due to heavy load. What does the  
> > > > > log of pYi3z5PgRh6msJX\_armz\_A show you? Perhaps it has too little heap  
> > > > > allocated. Rule of thumb is 1/2 available memory but \<= 31GB
> > > > > 
> > > > > On Wednesday, December 3, 2014 12:52:58 PM UTC-8, Jeff Keller wrote:
> > > > > 
> > > > > > ES Version: 1.3.5
> > > > > > 
> > > > > > OS: Ubuntu 14.04.1 LTS
> > > > > > 
> > > > > > Machine: 2 Intel(R) Xeon(R) CPU E5-2670 v2 @ 2.50GHz, 8 GB RAM at AWS
> > > > > > 
> > > > > > master (ip-10-0-1-18), 2 data nodes (ip-10-0-1-19, ip-10-0-1-20)
> > > > > > 
> > > > > > _After upgrading from ES 1.1.2..._
> > > > > > 
> > > > > > 1. Startup ES on master
> > > > > > 2. All nodes join cluster
> > > > > > 3. [2014-12-03 20:30:54,789][INFO][gateway]  
> > > > > > [ip-10-0-1-18.ec2.internal] recovered [157] indices into cluster\_state
> > > > > > 4. Checked health a few times
> > > > > > 
> > > > > > curl -XGET localhost:9200/\_cat/health?v
> > > > > > 
> > > > > > 1. 6 minutes after cluster recovery initiates (and 5:20 after the  
> > > > > > recovery finishes), the log on the master node (10.0.1.18) reports:
> > > > > > 
> > > > > > [2014-12-03 20:36:57,532][DEBUG][action.admin.cluster.node.stats]  
> > > > > > [ip-10-0-1-18.ec2.internal] failed to execute on node  
> > > > > > [pYi3z5PgRh6msJX\_armz\_A]
> > > > > > 
> > > > > > org.elasticsearch.transport.ReceiveTimeoutTransportException:  
> > > > > > [ip-10-0-1-20.ec2.internal][inet[/10.0.1.20:9300]][cluster/nodes/stats/n]  
> > > > > > request\_id [17564] timed out after [15001ms]
> > > > > > 
> > > > > > at org.elasticsearch.transport.TransportService$TimeoutHandler.run(  
> > > > > > TransportService.java:356)
> > > > > > 
> > > > > > at java.util.concurrent.ThreadPoolExecutor.runWorker(  
> > > > > > ThreadPoolExecutor.java:1145)
> > > > > > 
> > > > > > at java.util.concurrent.ThreadPoolExecutor$Worker.run(  
> > > > > > ThreadPoolExecutor.java:615)
> > > > > > 
> > > > > > at java.lang.Thread.run(Thread.java:745)
> > > > > > 
> > > > > > 1. Every 30 seconds or 60 seconds, the above error is reported for  
> > > > > > one or more of the data nodes
> > > > > > 
> > > > > > 2. During this time, queries (search, index, etc.) don’t return. They  
> > > > > > hang until the error state temporarily resolves itself (a varying time  
> > > > > > around 15-20 minutes) at which point the expected result is returned.
> > > > > > 
> > > > > > --  
> > > > > > You received this message because you are subscribed to the Google Groups  
> > > > > > "elasticsearch" group.  
> > > > > > To unsubscribe from this group and stop receiving emails from it, send an  
> > > > > > email to [elasticsearc...@googlegroups.com](mailto:elasticsearc...@googlegroups.com) \<javascript:\>.  
> > > > > > To view this discussion on the web visit  
> > > > > > [https://groups.google.com/d/msgid/elasticsearch/99a45801-2b95-4a21-a6bf-ca724f41bbc2%40googlegroups.com](https://groups.google.com/d/msgid/elasticsearch/99a45801-2b95-4a21-a6bf-ca724f41bbc2%40googlegroups.com)  
> > > > > > [https://groups.google.com/d/msgid/elasticsearch/99a45801-2b95-4a21-a6bf-ca724f41bbc2%40googlegroups.com?utm\_medium=email&utm\_source=footer](https://groups.google.com/d/msgid/elasticsearch/99a45801-2b95-4a21-a6bf-ca724f41bbc2%40googlegroups.com?utm_medium=email&utm_source=footer)  
> > > > > > .  
> > > > > > For more options, visit [https://groups.google.com/d/optout](https://groups.google.com/d/optout).

--  
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For more options, visit [https://groups.google.com/d/optout](https://groups.google.com/d/optout).

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<div class="post-metadata">

### Author: ![Chris\_Moore](https://sea2.discourse-cdn.com/elastic/user_avatar/discuss.elastic.co/chris_moore/32/1036_2.png) [@Chris\_Moore](https://discuss.elastic.co/u/Chris_Moore)
#### Post date: [December 5, 2014, 9:52pm UTC](https://discuss.elastic.co/t/startup-issues-with-es-1-3-5/21068/11 "2014-12-05T21:52:05Z")

</div>

As a followup, I closed all the indices on the cluster. I would then open 1  
index and optimize it down to 1 segment. I made it through ~60% of the  
indices (and probably ~45% of the data) before the same errors showed up in  
the master log and the same behavior resumed.

On Friday, December 5, 2014 3:57:12 PM UTC-5, Chris Moore wrote:

> I replied once, but it seems to have disappeared, so if this gets double  
> posted, I'm sorry.
> 
> We disabled all monitoring when we started looking into the issues to  
> ensure there was no external load on ES. Everything we are currently seeing  
> is just whatever activity ES generates internally.
> 
> My understanding regarding optimizing indices is that you shouldn't call  
> it explicitly on indices that are regularly updating, rather you should let  
> the background merge process handle things. As the majority of our indices  
> regularly update, we don't explicitly call optimize on them. I can try to  
> call it on them all and see if it helps.
> 
> As for disk speed, we are currently running ES on SSDs. We have it in our  
> roadmap to change that to RAIDed SSDs, but it hasn't been a priority as we  
> have been getting acceptable performance thus far.
> 
> On Friday, December 5, 2014 2:59:11 PM UTC-5, Jörg Prante wrote:
> 
> > Do you have a monitor tool running?
> > 
> > I recommend to switch it off, and optimize your indices, and then update  
> > your monitoring tools.
> > 
> > Seems you have many segments/slow disk to get them reported in 15s.
> > 
> > Jörg  
> > Am 05.12.2014 16:10 schrieb "Chris Moore" [cmo...@perceivant.com](mailto:cmo...@perceivant.com):
> > 
> > > This is running on Amazon EC2 in a VPC on dedicated instances. Physical  
> > > network infrastructure is likely fine. Are there specific network issues  
> > > you think we should look into?
> > > 
> > > When we are in a problem state, we can communicate between the nodes  
> > > just fine. I can run curl requests to ES (health checks, etc) from the  
> > > master node to the data nodes directly and they return as expected. So,  
> > > there doesn't seem to be a socket exhaustion issue (additionally there are  
> > > no kernel errors being reported).
> > > 
> > > It feels like there is a queue/buffer filling up somewhere that once it  
> > > has availability again, things start working. But, /\_cat/thread\_pool?v  
> > > doesn't show anything above 0 (although, when we are in the problem state,  
> > > it doesn't return a response if run on master), nodes/hot\_threads doesn't  
> > > show anything going on, etc.
> > > 
> > > On Thursday, December 4, 2014 4:10:37 PM UTC-5, Support Monkey wrote:
> > > 
> > > > I would think the network is a prime suspect then, as there is no  
> > > > significant difference between 1.2.x and 1.3.x in relation to memory usage.  
> > > > And you'd certainly see OOMs in node logs if it was a memory issue.
> > > > 
> > > > On Thursday, December 4, 2014 12:45:58 PM UTC-8, Chris Moore wrote:
> > > > 
> > > > > There is nothing (literally) in the log of either data node after the  
> > > > > node joined events and nothing in the master log between index recovery and  
> > > > > the first error message.
> > > > > 
> > > > > There are 0 queries run before the errors start occurring (access to  
> > > > > the nodes is blocked via a firewall, so the only communications are between  
> > > > > the nodes). We have 50% of the RAM allocated to the heap on each node (4GB  
> > > > > each).
> > > > > 
> > > > > This cluster operated without issue under 1.1.2. Did something change  
> > > > > between 1.1.2 and 1.3.5 that drastically increased idle heap requirements?
> > > > > 
> > > > > On Thursday, December 4, 2014 3:29:23 PM UTC-5, Support Monkey wrote:
> > > > > 
> > > > > > Generally ReceiveTimeoutTransportException is due to network  
> > > > > > disconnects or a node failing to respond due to heavy load. What does the  
> > > > > > log of pYi3z5PgRh6msJX\_armz\_A show you? Perhaps it has too little heap  
> > > > > > allocated. Rule of thumb is 1/2 available memory but \<= 31GB
> > > > > > 
> > > > > > On Wednesday, December 3, 2014 12:52:58 PM UTC-8, Jeff Keller wrote:
> > > > > > 
> > > > > > > ES Version: 1.3.5
> > > > > > > 
> > > > > > > OS: Ubuntu 14.04.1 LTS
> > > > > > > 
> > > > > > > Machine: 2 Intel(R) Xeon(R) CPU E5-2670 v2 @ 2.50GHz, 8 GB RAM at AWS
> > > > > > > 
> > > > > > > master (ip-10-0-1-18), 2 data nodes (ip-10-0-1-19, ip-10-0-1-20)
> > > > > > > 
> > > > > > > _After upgrading from ES 1.1.2..._
> > > > > > > 
> > > > > > > 1. Startup ES on master
> > > > > > > 2. All nodes join cluster
> > > > > > > 3. [2014-12-03 20:30:54,789][INFO][gateway]  
> > > > > > > [ip-10-0-1-18.ec2.internal] recovered [157] indices into cluster\_state
> > > > > > > 4. Checked health a few times
> > > > > > > 
> > > > > > > curl -XGET localhost:9200/\_cat/health?v
> > > > > > > 
> > > > > > > 1. 6 minutes after cluster recovery initiates (and 5:20 after the  
> > > > > > > recovery finishes), the log on the master node (10.0.1.18) reports:
> > > > > > > 
> > > > > > > [2014-12-03 20:36:57,532][DEBUG][action.admin.cluster.node.stats]  
> > > > > > > [ip-10-0-1-18.ec2.internal] failed to execute on node  
> > > > > > > [pYi3z5PgRh6msJX\_armz\_A]
> > > > > > > 
> > > > > > > org.elasticsearch.transport.ReceiveTimeoutTransportException:  
> > > > > > > [ip-10-0-1-20.ec2.internal][inet[/10.0.1.20:9300]][cluster/nodes/stats/n]  
> > > > > > > request\_id [17564] timed out after [15001ms]
> > > > > > > 
> > > > > > > at org.elasticsearch.transport.TransportService$TimeoutHandler.run(  
> > > > > > > TransportService.java:356)
> > > > > > > 
> > > > > > > at java.util.concurrent.ThreadPoolExecutor.runWorker(  
> > > > > > > ThreadPoolExecutor.java:1145)
> > > > > > > 
> > > > > > > at java.util.concurrent.ThreadPoolExecutor$Worker.run(  
> > > > > > > ThreadPoolExecutor.java:615)
> > > > > > > 
> > > > > > > at java.lang.Thread.run(Thread.java:745)
> > > > > > > 
> > > > > > > 1. Every 30 seconds or 60 seconds, the above error is reported for  
> > > > > > > one or more of the data nodes
> > > > > > > 
> > > > > > > 2. During this time, queries (search, index, etc.) don’t return.  
> > > > > > > They hang until the error state temporarily resolves itself (a varying time  
> > > > > > > around 15-20 minutes) at which point the expected result is returned.
> > > > > > > 
> > > > > > > --  
> > > > > > > You received this message because you are subscribed to the Google  
> > > > > > > Groups "elasticsearch" group.  
> > > > > > > To unsubscribe from this group and stop receiving emails from it, send  
> > > > > > > an email to [elasticsearc...@googlegroups.com](mailto:elasticsearc...@googlegroups.com).  
> > > > > > > To view this discussion on the web visit  
> > > > > > > [https://groups.google.com/d/msgid/elasticsearch/99a45801-2b95-4a21-a6bf-ca724f41bbc2%40googlegroups.com](https://groups.google.com/d/msgid/elasticsearch/99a45801-2b95-4a21-a6bf-ca724f41bbc2%40googlegroups.com)  
> > > > > > > [https://groups.google.com/d/msgid/elasticsearch/99a45801-2b95-4a21-a6bf-ca724f41bbc2%40googlegroups.com?utm\_medium=email&utm\_source=footer](https://groups.google.com/d/msgid/elasticsearch/99a45801-2b95-4a21-a6bf-ca724f41bbc2%40googlegroups.com?utm_medium=email&utm_source=footer)  
> > > > > > > .  
> > > > > > > For more options, visit [https://groups.google.com/d/optout](https://groups.google.com/d/optout).

--  
You received this message because you are subscribed to the Google Groups "elasticsearch" group.  
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For more options, visit [https://groups.google.com/d/optout](https://groups.google.com/d/optout).

---

<div class="post-metadata">

### Author: ![Chris\_Moore](https://sea2.discourse-cdn.com/elastic/user_avatar/discuss.elastic.co/chris_moore/32/1036_2.png) [@Chris\_Moore](https://discuss.elastic.co/u/Chris_Moore)
#### Post date: [December 12, 2014, 7:11pm UTC](https://discuss.elastic.co/t/startup-issues-with-es-1-3-5/21068/12 "2014-12-12T19:11:08Z")

</div>

Just a quick update, we duplicated our test environment to see if this  
issue was fixed by upgrading to 1.4.1 instead. We received the same errors  
under 1.4.1.

On Friday, December 5, 2014 4:52:05 PM UTC-5, Chris Moore wrote:

> As a followup, I closed all the indices on the cluster. I would then open  
> 1 index and optimize it down to 1 segment. I made it through ~60% of the  
> indices (and probably ~45% of the data) before the same errors showed up in  
> the master log and the same behavior resumed.
> 
> On Friday, December 5, 2014 3:57:12 PM UTC-5, Chris Moore wrote:
> 
> > I replied once, but it seems to have disappeared, so if this gets double  
> > posted, I'm sorry.
> > 
> > We disabled all monitoring when we started looking into the issues to  
> > ensure there was no external load on ES. Everything we are currently seeing  
> > is just whatever activity ES generates internally.
> > 
> > My understanding regarding optimizing indices is that you shouldn't call  
> > it explicitly on indices that are regularly updating, rather you should let  
> > the background merge process handle things. As the majority of our indices  
> > regularly update, we don't explicitly call optimize on them. I can try to  
> > call it on them all and see if it helps.
> > 
> > As for disk speed, we are currently running ES on SSDs. We have it in our  
> > roadmap to change that to RAIDed SSDs, but it hasn't been a priority as we  
> > have been getting acceptable performance thus far.
> > 
> > On Friday, December 5, 2014 2:59:11 PM UTC-5, Jörg Prante wrote:
> > 
> > > Do you have a monitor tool running?
> > > 
> > > I recommend to switch it off, and optimize your indices, and then update  
> > > your monitoring tools.
> > > 
> > > Seems you have many segments/slow disk to get them reported in 15s.
> > > 
> > > Jörg  
> > > Am 05.12.2014 16:10 schrieb "Chris Moore" [cmo...@perceivant.com](mailto:cmo...@perceivant.com):
> > > 
> > > > This is running on Amazon EC2 in a VPC on dedicated instances. Physical  
> > > > network infrastructure is likely fine. Are there specific network issues  
> > > > you think we should look into?
> > > > 
> > > > When we are in a problem state, we can communicate between the nodes  
> > > > just fine. I can run curl requests to ES (health checks, etc) from the  
> > > > master node to the data nodes directly and they return as expected. So,  
> > > > there doesn't seem to be a socket exhaustion issue (additionally there are  
> > > > no kernel errors being reported).
> > > > 
> > > > It feels like there is a queue/buffer filling up somewhere that once it  
> > > > has availability again, things start working. But, /\_cat/thread\_pool?v  
> > > > doesn't show anything above 0 (although, when we are in the problem state,  
> > > > it doesn't return a response if run on master), nodes/hot\_threads doesn't  
> > > > show anything going on, etc.
> > > > 
> > > > On Thursday, December 4, 2014 4:10:37 PM UTC-5, Support Monkey wrote:
> > > > 
> > > > > I would think the network is a prime suspect then, as there is no  
> > > > > significant difference between 1.2.x and 1.3.x in relation to memory usage.  
> > > > > And you'd certainly see OOMs in node logs if it was a memory issue.
> > > > > 
> > > > > On Thursday, December 4, 2014 12:45:58 PM UTC-8, Chris Moore wrote:
> > > > > 
> > > > > > There is nothing (literally) in the log of either data node after the  
> > > > > > node joined events and nothing in the master log between index recovery and  
> > > > > > the first error message.
> > > > > > 
> > > > > > There are 0 queries run before the errors start occurring (access to  
> > > > > > the nodes is blocked via a firewall, so the only communications are between  
> > > > > > the nodes). We have 50% of the RAM allocated to the heap on each node (4GB  
> > > > > > each).
> > > > > > 
> > > > > > This cluster operated without issue under 1.1.2. Did something change  
> > > > > > between 1.1.2 and 1.3.5 that drastically increased idle heap requirements?
> > > > > > 
> > > > > > On Thursday, December 4, 2014 3:29:23 PM UTC-5, Support Monkey wrote:
> > > > > > 
> > > > > > > Generally ReceiveTimeoutTransportException is due to network  
> > > > > > > disconnects or a node failing to respond due to heavy load. What does the  
> > > > > > > log of pYi3z5PgRh6msJX\_armz\_A show you? Perhaps it has too little heap  
> > > > > > > allocated. Rule of thumb is 1/2 available memory but \<= 31GB
> > > > > > > 
> > > > > > > On Wednesday, December 3, 2014 12:52:58 PM UTC-8, Jeff Keller wrote:
> > > > > > > 
> > > > > > > > ES Version: 1.3.5
> > > > > > > > 
> > > > > > > > OS: Ubuntu 14.04.1 LTS
> > > > > > > > 
> > > > > > > > Machine: 2 Intel(R) Xeon(R) CPU E5-2670 v2 @ 2.50GHz, 8 GB RAM at  
> > > > > > > > AWS
> > > > > > > > 
> > > > > > > > master (ip-10-0-1-18), 2 data nodes (ip-10-0-1-19, ip-10-0-1-20)
> > > > > > > > 
> > > > > > > > _After upgrading from ES 1.1.2..._
> > > > > > > > 
> > > > > > > > 1. Startup ES on master
> > > > > > > > 2. All nodes join cluster
> > > > > > > > 3. [2014-12-03 20:30:54,789][INFO][gateway]  
> > > > > > > > [ip-10-0-1-18.ec2.internal] recovered [157] indices into cluster\_state
> > > > > > > > 4. Checked health a few times
> > > > > > > > 
> > > > > > > > curl -XGET localhost:9200/\_cat/health?v
> > > > > > > > 
> > > > > > > > 1. 6 minutes after cluster recovery initiates (and 5:20 after the  
> > > > > > > > recovery finishes), the log on the master node (10.0.1.18) reports:
> > > > > > > > 
> > > > > > > > [2014-12-03 20:36:57,532][DEBUG][action.admin.cluster.node.stats]  
> > > > > > > > [ip-10-0-1-18.ec2.internal] failed to execute on node  
> > > > > > > > [pYi3z5PgRh6msJX\_armz\_A]
> > > > > > > > 
> > > > > > > > org.elasticsearch.transport.ReceiveTimeoutTransportException:  
> > > > > > > > [ip-10-0-1-20.ec2.internal][inet[/10.0.1.20:9300]][cluster/nodes/stats/n]  
> > > > > > > > request\_id [17564] timed out after [15001ms]
> > > > > > > > 
> > > > > > > > at org.elasticsearch.transport.TransportService$TimeoutHandler.run(  
> > > > > > > > TransportService.java:356)
> > > > > > > > 
> > > > > > > > at java.util.concurrent.ThreadPoolExecutor.runWorker(  
> > > > > > > > ThreadPoolExecutor.java:1145)
> > > > > > > > 
> > > > > > > > at java.util.concurrent.ThreadPoolExecutor$Worker.run(  
> > > > > > > > ThreadPoolExecutor.java:615)
> > > > > > > > 
> > > > > > > > at java.lang.Thread.run(Thread.java:745)
> > > > > > > > 
> > > > > > > > 1. Every 30 seconds or 60 seconds, the above error is reported for  
> > > > > > > > one or more of the data nodes
> > > > > > > > 
> > > > > > > > 2. During this time, queries (search, index, etc.) don’t return.  
> > > > > > > > They hang until the error state temporarily resolves itself (a varying time  
> > > > > > > > around 15-20 minutes) at which point the expected result is returned.
> > > > > > > > 
> > > > > > > > --  
> > > > > > > > You received this message because you are subscribed to the Google  
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> > > > > > > > To unsubscribe from this group and stop receiving emails from it, send  
> > > > > > > > an email to [elasticsearc...@googlegroups.com](mailto:elasticsearc...@googlegroups.com).  
> > > > > > > > To view this discussion on the web visit  
> > > > > > > > [https://groups.google.com/d/msgid/elasticsearch/99a45801-2b95-4a21-a6bf-ca724f41bbc2%40googlegroups.com](https://groups.google.com/d/msgid/elasticsearch/99a45801-2b95-4a21-a6bf-ca724f41bbc2%40googlegroups.com)  
> > > > > > > > [https://groups.google.com/d/msgid/elasticsearch/99a45801-2b95-4a21-a6bf-ca724f41bbc2%40googlegroups.com?utm\_medium=email&utm\_source=footer](https://groups.google.com/d/msgid/elasticsearch/99a45801-2b95-4a21-a6bf-ca724f41bbc2%40googlegroups.com?utm_medium=email&utm_source=footer)  
> > > > > > > > .  
> > > > > > > > For more options, visit [https://groups.google.com/d/optout](https://groups.google.com/d/optout).

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<div class="post-metadata">

### Author: ![Chris\_Moore](https://sea2.discourse-cdn.com/elastic/user_avatar/discuss.elastic.co/chris_moore/32/1036_2.png) [@Chris\_Moore](https://discuss.elastic.co/u/Chris_Moore)
#### Post date: [December 23, 2014, 8:36pm UTC](https://discuss.elastic.co/t/startup-issues-with-es-1-3-5/21068/13 "2014-12-23T20:36:06Z")

</div>

Updating again:

If we reduce the number of shards per node to below ~350, the system  
operates fine. Once we go above that (number\_of\_indices \*  
number\_of\_shards\_per\_index \* number\_of\_replicas / number\_of\_nodes), we  
start running into the described issues.

On Friday, December 12, 2014 2:11:08 PM UTC-5, Chris Moore wrote:

> Just a quick update, we duplicated our test environment to see if this  
> issue was fixed by upgrading to 1.4.1 instead. We received the same errors  
> under 1.4.1.
> 
> On Friday, December 5, 2014 4:52:05 PM UTC-5, Chris Moore wrote:
> 
> > As a followup, I closed all the indices on the cluster. I would then open  
> > 1 index and optimize it down to 1 segment. I made it through ~60% of the  
> > indices (and probably ~45% of the data) before the same errors showed up in  
> > the master log and the same behavior resumed.
> > 
> > On Friday, December 5, 2014 3:57:12 PM UTC-5, Chris Moore wrote:
> > 
> > > I replied once, but it seems to have disappeared, so if this gets double  
> > > posted, I'm sorry.
> > > 
> > > We disabled all monitoring when we started looking into the issues to  
> > > ensure there was no external load on ES. Everything we are currently seeing  
> > > is just whatever activity ES generates internally.
> > > 
> > > My understanding regarding optimizing indices is that you shouldn't call  
> > > it explicitly on indices that are regularly updating, rather you should let  
> > > the background merge process handle things. As the majority of our indices  
> > > regularly update, we don't explicitly call optimize on them. I can try to  
> > > call it on them all and see if it helps.
> > > 
> > > As for disk speed, we are currently running ES on SSDs. We have it in  
> > > our roadmap to change that to RAIDed SSDs, but it hasn't been a priority as  
> > > we have been getting acceptable performance thus far.
> > > 
> > > On Friday, December 5, 2014 2:59:11 PM UTC-5, Jörg Prante wrote:
> > > 
> > > > Do you have a monitor tool running?
> > > > 
> > > > I recommend to switch it off, and optimize your indices, and then  
> > > > update your monitoring tools.
> > > > 
> > > > Seems you have many segments/slow disk to get them reported in 15s.
> > > > 
> > > > Jörg  
> > > > Am 05.12.2014 16:10 schrieb "Chris Moore" [cmo...@perceivant.com](mailto:cmo...@perceivant.com):
> > > > 
> > > > > This is running on Amazon EC2 in a VPC on dedicated instances.  
> > > > > Physical network infrastructure is likely fine. Are there specific network  
> > > > > issues you think we should look into?
> > > > > 
> > > > > When we are in a problem state, we can communicate between the nodes  
> > > > > just fine. I can run curl requests to ES (health checks, etc) from the  
> > > > > master node to the data nodes directly and they return as expected. So,  
> > > > > there doesn't seem to be a socket exhaustion issue (additionally there are  
> > > > > no kernel errors being reported).
> > > > > 
> > > > > It feels like there is a queue/buffer filling up somewhere that once  
> > > > > it has availability again, things start working. But, /\_cat/thread\_pool?v  
> > > > > doesn't show anything above 0 (although, when we are in the problem state,  
> > > > > it doesn't return a response if run on master), nodes/hot\_threads doesn't  
> > > > > show anything going on, etc.
> > > > > 
> > > > > On Thursday, December 4, 2014 4:10:37 PM UTC-5, Support Monkey wrote:
> > > > > 
> > > > > > I would think the network is a prime suspect then, as there is no  
> > > > > > significant difference between 1.2.x and 1.3.x in relation to memory usage.  
> > > > > > And you'd certainly see OOMs in node logs if it was a memory issue.
> > > > > > 
> > > > > > On Thursday, December 4, 2014 12:45:58 PM UTC-8, Chris Moore wrote:
> > > > > > 
> > > > > > > There is nothing (literally) in the log of either data node after  
> > > > > > > the node joined events and nothing in the master log between index recovery  
> > > > > > > and the first error message.
> > > > > > > 
> > > > > > > There are 0 queries run before the errors start occurring (access to  
> > > > > > > the nodes is blocked via a firewall, so the only communications are between  
> > > > > > > the nodes). We have 50% of the RAM allocated to the heap on each node (4GB  
> > > > > > > each).
> > > > > > > 
> > > > > > > This cluster operated without issue under 1.1.2. Did something  
> > > > > > > change between 1.1.2 and 1.3.5 that drastically increased idle heap  
> > > > > > > requirements?
> > > > > > > 
> > > > > > > On Thursday, December 4, 2014 3:29:23 PM UTC-5, Support Monkey wrote:
> > > > > > > 
> > > > > > > > Generally ReceiveTimeoutTransportException is due to network  
> > > > > > > > disconnects or a node failing to respond due to heavy load. What does the  
> > > > > > > > log of pYi3z5PgRh6msJX\_armz\_A show you? Perhaps it has too little heap  
> > > > > > > > allocated. Rule of thumb is 1/2 available memory but \<= 31GB
> > > > > > > > 
> > > > > > > > On Wednesday, December 3, 2014 12:52:58 PM UTC-8, Jeff Keller wrote:
> > > > > > > > 
> > > > > > > > > ES Version: 1.3.5
> > > > > > > > > 
> > > > > > > > > OS: Ubuntu 14.04.1 LTS
> > > > > > > > > 
> > > > > > > > > Machine: 2 Intel(R) Xeon(R) CPU E5-2670 v2 @ 2.50GHz, 8 GB RAM at  
> > > > > > > > > AWS
> > > > > > > > > 
> > > > > > > > > master (ip-10-0-1-18), 2 data nodes (ip-10-0-1-19, ip-10-0-1-20)
> > > > > > > > > 
> > > > > > > > > _After upgrading from ES 1.1.2..._
> > > > > > > > > 
> > > > > > > > > 1. Startup ES on master
> > > > > > > > > 2. All nodes join cluster
> > > > > > > > > 3. [2014-12-03 20:30:54,789][INFO][gateway]  
> > > > > > > > > [ip-10-0-1-18.ec2.internal] recovered [157] indices into cluster\_state
> > > > > > > > > 4. Checked health a few times
> > > > > > > > > 
> > > > > > > > > curl -XGET localhost:9200/\_cat/health?v
> > > > > > > > > 
> > > > > > > > > 1. 6 minutes after cluster recovery initiates (and 5:20 after the  
> > > > > > > > > recovery finishes), the log on the master node (10.0.1.18) reports:
> > > > > > > > > 
> > > > > > > > > [2014-12-03 20:36:57,532][DEBUG][action.admin.cluster.node.stats]  
> > > > > > > > > [ip-10-0-1-18.ec2.internal] failed to execute on node  
> > > > > > > > > [pYi3z5PgRh6msJX\_armz\_A]
> > > > > > > > > 
> > > > > > > > > org.elasticsearch.transport.ReceiveTimeoutTransportException:  
> > > > > > > > > [ip-10-0-1-20.ec2.internal][inet[/10.0.1.20:9300]][cluster/nodes/stats/n]  
> > > > > > > > > request\_id [17564] timed out after [15001ms]
> > > > > > > > > 
> > > > > > > > > at org.elasticsearch.transport.TransportService$  
> > > > > > > > > TimeoutHandler.run(TransportService.java:356)
> > > > > > > > > 
> > > > > > > > > at java.util.concurrent.ThreadPoolExecutor.runWorker(  
> > > > > > > > > ThreadPoolExecutor.java:1145)
> > > > > > > > > 
> > > > > > > > > at java.util.concurrent.ThreadPoolExecutor$Worker.run(  
> > > > > > > > > ThreadPoolExecutor.java:615)
> > > > > > > > > 
> > > > > > > > > at java.lang.Thread.run(Thread.java:745)
> > > > > > > > > 
> > > > > > > > > 1. Every 30 seconds or 60 seconds, the above error is reported for  
> > > > > > > > > one or more of the data nodes
> > > > > > > > > 
> > > > > > > > > 2. During this time, queries (search, index, etc.) don’t return.  
> > > > > > > > > They hang until the error state temporarily resolves itself (a varying time  
> > > > > > > > > around 15-20 minutes) at which point the expected result is returned.
> > > > > > > > > 
> > > > > > > > > --  
> > > > > > > > > You received this message because you are subscribed to the Google  
> > > > > > > > > Groups "elasticsearch" group.  
> > > > > > > > > To unsubscribe from this group and stop receiving emails from it, send  
> > > > > > > > > an email to [elasticsearc...@googlegroups.com](mailto:elasticsearc...@googlegroups.com).  
> > > > > > > > > To view this discussion on the web visit  
> > > > > > > > > [https://groups.google.com/d/msgid/elasticsearch/99a45801-2b95-4a21-a6bf-ca724f41bbc2%40googlegroups.com](https://groups.google.com/d/msgid/elasticsearch/99a45801-2b95-4a21-a6bf-ca724f41bbc2%40googlegroups.com)  
> > > > > > > > > [https://groups.google.com/d/msgid/elasticsearch/99a45801-2b95-4a21-a6bf-ca724f41bbc2%40googlegroups.com?utm\_medium=email&utm\_source=footer](https://groups.google.com/d/msgid/elasticsearch/99a45801-2b95-4a21-a6bf-ca724f41bbc2%40googlegroups.com?utm_medium=email&utm_source=footer)  
> > > > > > > > > .  
> > > > > > > > > For more options, visit [https://groups.google.com/d/optout](https://groups.google.com/d/optout).

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<div class="post-metadata">

### Author: ![warkolm](https://sea2.discourse-cdn.com/elastic/user_avatar/discuss.elastic.co/warkolm/32/39224_2.png) [@warkolm](https://discuss.elastic.co/u/warkolm)
#### Post date: [December 23, 2014, 10:03pm UTC](https://discuss.elastic.co/t/startup-issues-with-es-1-3-5/21068/14 "2014-12-23T22:03:00Z")

</div>

Can you elaborate on your dataset and structure; how many indexes, how many  
shards, how big they are etc.

On 24 December 2014 at 07:36, Chris Moore [cmoore@perceivant.com](mailto:cmoore@perceivant.com) wrote:

> Updating again:
> 
> If we reduce the number of shards per node to below ~350, the system  
> operates fine. Once we go above that (number\_of\_indices \*  
> number\_of\_shards\_per\_index \* number\_of\_replicas / number\_of\_nodes), we  
> start running into the described issues.
> 
> On Friday, December 12, 2014 2:11:08 PM UTC-5, Chris Moore wrote:
> 
> > Just a quick update, we duplicated our test environment to see if this  
> > issue was fixed by upgrading to 1.4.1 instead. We received the same errors  
> > under 1.4.1.
> > 
> > On Friday, December 5, 2014 4:52:05 PM UTC-5, Chris Moore wrote:
> > 
> > > As a followup, I closed all the indices on the cluster. I would then  
> > > open 1 index and optimize it down to 1 segment. I made it through ~60% of  
> > > the indices (and probably ~45% of the data) before the same errors showed  
> > > up in the master log and the same behavior resumed.
> > > 
> > > On Friday, December 5, 2014 3:57:12 PM UTC-5, Chris Moore wrote:
> > > 
> > > > I replied once, but it seems to have disappeared, so if this gets  
> > > > double posted, I'm sorry.
> > > > 
> > > > We disabled all monitoring when we started looking into the issues to  
> > > > ensure there was no external load on ES. Everything we are currently seeing  
> > > > is just whatever activity ES generates internally.
> > > > 
> > > > My understanding regarding optimizing indices is that you shouldn't  
> > > > call it explicitly on indices that are regularly updating, rather you  
> > > > should let the background merge process handle things. As the majority of  
> > > > our indices regularly update, we don't explicitly call optimize on them. I  
> > > > can try to call it on them all and see if it helps.
> > > > 
> > > > As for disk speed, we are currently running ES on SSDs. We have it in  
> > > > our roadmap to change that to RAIDed SSDs, but it hasn't been a priority as  
> > > > we have been getting acceptable performance thus far.
> > > > 
> > > > On Friday, December 5, 2014 2:59:11 PM UTC-5, Jörg Prante wrote:
> > > > 
> > > > > Do you have a monitor tool running?
> > > > > 
> > > > > I recommend to switch it off, and optimize your indices, and then  
> > > > > update your monitoring tools.
> > > > > 
> > > > > Seems you have many segments/slow disk to get them reported in 15s.
> > > > > 
> > > > > Jörg  
> > > > > Am 05.12.2014 16:10 schrieb "Chris Moore" [cmo...@perceivant.com](mailto:cmo...@perceivant.com):
> > > > > 
> > > > > > This is running on Amazon EC2 in a VPC on dedicated instances.  
> > > > > > Physical network infrastructure is likely fine. Are there specific network  
> > > > > > issues you think we should look into?
> > > > > > 
> > > > > > When we are in a problem state, we can communicate between the nodes  
> > > > > > just fine. I can run curl requests to ES (health checks, etc) from the  
> > > > > > master node to the data nodes directly and they return as expected. So,  
> > > > > > there doesn't seem to be a socket exhaustion issue (additionally there are  
> > > > > > no kernel errors being reported).
> > > > > > 
> > > > > > It feels like there is a queue/buffer filling up somewhere that once  
> > > > > > it has availability again, things start working. But, /\_cat/thread\_pool?v  
> > > > > > doesn't show anything above 0 (although, when we are in the problem state,  
> > > > > > it doesn't return a response if run on master), nodes/hot\_threads doesn't  
> > > > > > show anything going on, etc.
> > > > > > 
> > > > > > On Thursday, December 4, 2014 4:10:37 PM UTC-5, Support Monkey wrote:
> > > > > > 
> > > > > > > I would think the network is a prime suspect then, as there is no  
> > > > > > > significant difference between 1.2.x and 1.3.x in relation to memory usage.  
> > > > > > > And you'd certainly see OOMs in node logs if it was a memory issue.
> > > > > > > 
> > > > > > > On Thursday, December 4, 2014 12:45:58 PM UTC-8, Chris Moore wrote:
> > > > > > > 
> > > > > > > > There is nothing (literally) in the log of either data node after  
> > > > > > > > the node joined events and nothing in the master log between index recovery  
> > > > > > > > and the first error message.
> > > > > > > > 
> > > > > > > > There are 0 queries run before the errors start occurring (access  
> > > > > > > > to the nodes is blocked via a firewall, so the only communications are  
> > > > > > > > between the nodes). We have 50% of the RAM allocated to the heap on each  
> > > > > > > > node (4GB each).
> > > > > > > > 
> > > > > > > > This cluster operated without issue under 1.1.2. Did something  
> > > > > > > > change between 1.1.2 and 1.3.5 that drastically increased idle heap  
> > > > > > > > requirements?
> > > > > > > > 
> > > > > > > > On Thursday, December 4, 2014 3:29:23 PM UTC-5, Support Monkey  
> > > > > > > > wrote:
> > > > > > > > 
> > > > > > > > > Generally ReceiveTimeoutTransportException is due to network  
> > > > > > > > > disconnects or a node failing to respond due to heavy load. What does the  
> > > > > > > > > log of pYi3z5PgRh6msJX\_armz\_A show you? Perhaps it has too little heap  
> > > > > > > > > allocated. Rule of thumb is 1/2 available memory but \<= 31GB
> > > > > > > > > 
> > > > > > > > > On Wednesday, December 3, 2014 12:52:58 PM UTC-8, Jeff Keller  
> > > > > > > > > wrote:
> > > > > > > > > 
> > > > > > > > > > ES Version: 1.3.5
> > > > > > > > > > 
> > > > > > > > > > OS: Ubuntu 14.04.1 LTS
> > > > > > > > > > 
> > > > > > > > > > Machine: 2 Intel(R) Xeon(R) CPU E5-2670 v2 @ 2.50GHz, 8 GB RAM at  
> > > > > > > > > > AWS
> > > > > > > > > > 
> > > > > > > > > > master (ip-10-0-1-18), 2 data nodes (ip-10-0-1-19, ip-10-0-1-20)
> > > > > > > > > > 
> > > > > > > > > > _After upgrading from ES 1.1.2..._
> > > > > > > > > > 
> > > > > > > > > > 1. Startup ES on master
> > > > > > > > > > 2. All nodes join cluster
> > > > > > > > > > 3. [2014-12-03 20:30:54,789][INFO][gateway]  
> > > > > > > > > > [ip-10-0-1-18.ec2.internal] recovered [157] indices into cluster\_state
> > > > > > > > > > 4. Checked health a few times
> > > > > > > > > > 
> > > > > > > > > > curl -XGET localhost:9200/\_cat/health?v
> > > > > > > > > > 
> > > > > > > > > > 1. 6 minutes after cluster recovery initiates (and 5:20 after the  
> > > > > > > > > > recovery finishes), the log on the master node (10.0.1.18) reports:
> > > > > > > > > > 
> > > > > > > > > > [2014-12-03 20:36:57,532][DEBUG][action.admin.cluster.node.stats]  
> > > > > > > > > > [ip-10-0-1-18.ec2.internal] failed to execute on node  
> > > > > > > > > > [pYi3z5PgRh6msJX\_armz\_A]
> > > > > > > > > > 
> > > > > > > > > > org.elasticsearch.transport.ReceiveTimeoutTransportException:  
> > > > > > > > > > [ip-10-0-1-20.ec2.internal][inet[/10.0.1.20:9300]][cluster/nodes/stats/n]  
> > > > > > > > > > request\_id [17564] timed out after [15001ms]
> > > > > > > > > > 
> > > > > > > > > > at org.elasticsearch.transport.TransportService$TimeoutHandler.  
> > > > > > > > > > run(TransportService.java:356)
> > > > > > > > > > 
> > > > > > > > > > at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPool  
> > > > > > > > > > Executor.java:1145)
> > > > > > > > > > 
> > > > > > > > > > at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoo  
> > > > > > > > > > lExecutor.java:615)
> > > > > > > > > > 
> > > > > > > > > > at java.lang.Thread.run(Thread.java:745)
> > > > > > > > > > 
> > > > > > > > > > 1. Every 30 seconds or 60 seconds, the above error is reported  
> > > > > > > > > > for one or more of the data nodes
> > > > > > > > > > 
> > > > > > > > > > 2. During this time, queries (search, index, etc.) don’t return.  
> > > > > > > > > > They hang until the error state temporarily resolves itself (a varying time  
> > > > > > > > > > around 15-20 minutes) at which point the expected result is returned.
> > > > > > > > > > 
> > > > > > > > > > --  
> > > > > > > > > > You received this message because you are subscribed to the Google  
> > > > > > > > > > Groups "elasticsearch" group.  
> > > > > > > > > > To unsubscribe from this group and stop receiving emails from it,  
> > > > > > > > > > send an email to [elasticsearc...@googlegroups.com](mailto:elasticsearc...@googlegroups.com).  
> > > > > > > > > > To view this discussion on the web visit [https://groups.google.com/d/](https://groups.google.com/d/)  
> > > > > > > > > > msgid/elasticsearch/99a45801-2b95-4a21-a6bf-ca724f41bbc2%  
> > > > > > > > > > [40googlegroups.com](http://40googlegroups.com)  
> > > > > > > > > > [https://groups.google.com/d/msgid/elasticsearch/99a45801-2b95-4a21-a6bf-ca724f41bbc2%40googlegroups.com?utm\_medium=email&utm\_source=footer](https://groups.google.com/d/msgid/elasticsearch/99a45801-2b95-4a21-a6bf-ca724f41bbc2%40googlegroups.com?utm_medium=email&utm_source=footer)  
> > > > > > > > > > .  
> > > > > > > > > > For more options, visit [https://groups.google.com/d/optout](https://groups.google.com/d/optout).
> > > > > 
> > > > > --  
> > > > > You received this message because you are subscribed to the Google Groups  
> > > > > "elasticsearch" group.  
> > > > > To unsubscribe from this group and stop receiving emails from it, send an  
> > > > > email to [elasticsearch+unsubscribe@googlegroups.com](mailto:elasticsearch+unsubscribe@googlegroups.com).  
> > > > > To view this discussion on the web visit  
> > > > > [https://groups.google.com/d/msgid/elasticsearch/1ad26e40-a1bf-4302-aba4-551c7d862db1%40googlegroups.com](https://groups.google.com/d/msgid/elasticsearch/1ad26e40-a1bf-4302-aba4-551c7d862db1%40googlegroups.com)  
> > > > > [https://groups.google.com/d/msgid/elasticsearch/1ad26e40-a1bf-4302-aba4-551c7d862db1%40googlegroups.com?utm\_medium=email&utm\_source=footer](https://groups.google.com/d/msgid/elasticsearch/1ad26e40-a1bf-4302-aba4-551c7d862db1%40googlegroups.com?utm_medium=email&utm_source=footer)  
> > > > > .  
> > > > > For more options, visit [https://groups.google.com/d/optout](https://groups.google.com/d/optout).

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<div class="post-metadata">

### Author: ![Chris\_Moore](https://sea2.discourse-cdn.com/elastic/user_avatar/discuss.elastic.co/chris_moore/32/1036_2.png) [@Chris\_Moore](https://discuss.elastic.co/u/Chris_Moore)
#### Post date: [December 24, 2014, 3:22pm UTC](https://discuss.elastic.co/t/startup-issues-with-es-1-3-5/21068/15 "2014-12-24T15:22:00Z")

</div>

We tried many different test setups yesterday. The first setup we tried was:

1 Master, 2 Data nodes  
38 indices  
10 shards per index  
1 replica per index  
760 total shards (380 primary, 760 total)  
Each index had 2,745 documents  
Each index was 218.9kb in size (according to the \_cat/indices API)

We realize that 10 shards per index with only 2 nodes is not a good idea,  
so we changed that and reran the tests.

We changed shards per index to the default of 5 and put 100 indices on the  
2 boxes and ran into the same issue. It was the same dataset, so all other  
size information is correct.

After that, we turned off one of the data nodes, set replicas to 0 and  
shards per index to 1. With the same dataset, I loaded ~440 indices and ran  
into the timeout issues with the Master and Data nodes just idling.

This is just a test dataset that we came up with to quickly test our issues  
that contains no confidential information. Once we figure out the issues  
affecting this test dataset, we'll try things with our real dataset.

All of this works fine on ES 1.1.2, but not on 1.3.x (1.3.5 is our current  
test version). We have also tried our real setup on 1.4.1 to no avail.

On Tuesday, December 23, 2014 5:03:30 PM UTC-5, Mark Walkom wrote:

> Can you elaborate on your dataset and structure; how many indexes, how  
> many shards, how big they are etc.
> 
> On 24 December 2014 at 07:36, Chris Moore \<[cmo...@perceivant.com](mailto:cmo...@perceivant.com)  
> \<javascript:\>\> wrote:
> 
> > Updating again:
> > 
> > If we reduce the number of shards per node to below ~350, the system  
> > operates fine. Once we go above that (number\_of\_indices \*  
> > number\_of\_shards\_per\_index \* number\_of\_replicas / number\_of\_nodes), we  
> > start running into the described issues.
> > 
> > On Friday, December 12, 2014 2:11:08 PM UTC-5, Chris Moore wrote:
> > 
> > > Just a quick update, we duplicated our test environment to see if this  
> > > issue was fixed by upgrading to 1.4.1 instead. We received the same errors  
> > > under 1.4.1.
> > > 
> > > On Friday, December 5, 2014 4:52:05 PM UTC-5, Chris Moore wrote:
> > > 
> > > > As a followup, I closed all the indices on the cluster. I would then  
> > > > open 1 index and optimize it down to 1 segment. I made it through ~60% of  
> > > > the indices (and probably ~45% of the data) before the same errors showed  
> > > > up in the master log and the same behavior resumed.
> > > > 
> > > > On Friday, December 5, 2014 3:57:12 PM UTC-5, Chris Moore wrote:
> > > > 
> > > > > I replied once, but it seems to have disappeared, so if this gets  
> > > > > double posted, I'm sorry.
> > > > > 
> > > > > We disabled all monitoring when we started looking into the issues to  
> > > > > ensure there was no external load on ES. Everything we are currently seeing  
> > > > > is just whatever activity ES generates internally.
> > > > > 
> > > > > My understanding regarding optimizing indices is that you shouldn't  
> > > > > call it explicitly on indices that are regularly updating, rather you  
> > > > > should let the background merge process handle things. As the majority of  
> > > > > our indices regularly update, we don't explicitly call optimize on them. I  
> > > > > can try to call it on them all and see if it helps.
> > > > > 
> > > > > As for disk speed, we are currently running ES on SSDs. We have it in  
> > > > > our roadmap to change that to RAIDed SSDs, but it hasn't been a priority as  
> > > > > we have been getting acceptable performance thus far.
> > > > > 
> > > > > On Friday, December 5, 2014 2:59:11 PM UTC-5, Jörg Prante wrote:
> > > > > 
> > > > > > Do you have a monitor tool running?
> > > > > > 
> > > > > > I recommend to switch it off, and optimize your indices, and then  
> > > > > > update your monitoring tools.
> > > > > > 
> > > > > > Seems you have many segments/slow disk to get them reported in 15s.
> > > > > > 
> > > > > > Jörg  
> > > > > > Am 05.12.2014 16:10 schrieb "Chris Moore" [cmo...@perceivant.com](mailto:cmo...@perceivant.com):
> > > > > > 
> > > > > > > This is running on Amazon EC2 in a VPC on dedicated instances.  
> > > > > > > Physical network infrastructure is likely fine. Are there specific network  
> > > > > > > issues you think we should look into?
> > > > > > > 
> > > > > > > When we are in a problem state, we can communicate between the nodes  
> > > > > > > just fine. I can run curl requests to ES (health checks, etc) from the  
> > > > > > > master node to the data nodes directly and they return as expected. So,  
> > > > > > > there doesn't seem to be a socket exhaustion issue (additionally there are  
> > > > > > > no kernel errors being reported).
> > > > > > > 
> > > > > > > It feels like there is a queue/buffer filling up somewhere that once  
> > > > > > > it has availability again, things start working. But, /\_cat/thread\_pool?v  
> > > > > > > doesn't show anything above 0 (although, when we are in the problem state,  
> > > > > > > it doesn't return a response if run on master), nodes/hot\_threads doesn't  
> > > > > > > show anything going on, etc.
> > > > > > > 
> > > > > > > On Thursday, December 4, 2014 4:10:37 PM UTC-5, Support Monkey wrote:
> > > > > > > 
> > > > > > > > I would think the network is a prime suspect then, as there is no  
> > > > > > > > significant difference between 1.2.x and 1.3.x in relation to memory usage.  
> > > > > > > > And you'd certainly see OOMs in node logs if it was a memory issue.
> > > > > > > > 
> > > > > > > > On Thursday, December 4, 2014 12:45:58 PM UTC-8, Chris Moore wrote:
> > > > > > > > 
> > > > > > > > > There is nothing (literally) in the log of either data node after  
> > > > > > > > > the node joined events and nothing in the master log between index recovery  
> > > > > > > > > and the first error message.
> > > > > > > > > 
> > > > > > > > > There are 0 queries run before the errors start occurring (access  
> > > > > > > > > to the nodes is blocked via a firewall, so the only communications are  
> > > > > > > > > between the nodes). We have 50% of the RAM allocated to the heap on each  
> > > > > > > > > node (4GB each).
> > > > > > > > > 
> > > > > > > > > This cluster operated without issue under 1.1.2. Did something  
> > > > > > > > > change between 1.1.2 and 1.3.5 that drastically increased idle heap  
> > > > > > > > > requirements?
> > > > > > > > > 
> > > > > > > > > On Thursday, December 4, 2014 3:29:23 PM UTC-5, Support Monkey  
> > > > > > > > > wrote:
> > > > > > > > > 
> > > > > > > > > > Generally ReceiveTimeoutTransportException is due to network  
> > > > > > > > > > disconnects or a node failing to respond due to heavy load. What does the  
> > > > > > > > > > log of pYi3z5PgRh6msJX\_armz\_A show you? Perhaps it has too little heap  
> > > > > > > > > > allocated. Rule of thumb is 1/2 available memory but \<= 31GB
> > > > > > > > > > 
> > > > > > > > > > On Wednesday, December 3, 2014 12:52:58 PM UTC-8, Jeff Keller  
> > > > > > > > > > wrote:
> > > > > > > > > > 
> > > > > > > > > > > ES Version: 1.3.5
> > > > > > > > > > > 
> > > > > > > > > > > OS: Ubuntu 14.04.1 LTS
> > > > > > > > > > > 
> > > > > > > > > > > Machine: 2 Intel(R) Xeon(R) CPU E5-2670 v2 @ 2.50GHz, 8 GB RAM  
> > > > > > > > > > > at AWS
> > > > > > > > > > > 
> > > > > > > > > > > master (ip-10-0-1-18), 2 data nodes (ip-10-0-1-19, ip-10-0-1-20)
> > > > > > > > > > > 
> > > > > > > > > > > _After upgrading from ES 1.1.2..._
> > > > > > > > > > > 
> > > > > > > > > > > 1. Startup ES on master
> > > > > > > > > > > 2. All nodes join cluster
> > > > > > > > > > > 3. [2014-12-03 20:30:54,789][INFO][gateway]  
> > > > > > > > > > > [ip-10-0-1-18.ec2.internal] recovered [157] indices into cluster\_state
> > > > > > > > > > > 4. Checked health a few times
> > > > > > > > > > > 
> > > > > > > > > > > curl -XGET localhost:9200/\_cat/health?v
> > > > > > > > > > > 
> > > > > > > > > > > 1. 6 minutes after cluster recovery initiates (and 5:20 after  
> > > > > > > > > > > the recovery finishes), the log on the master node (10.0.1.18) reports:
> > > > > > > > > > > 
> > > > > > > > > > > [2014-12-03 20:36:57,532][DEBUG][action.admin.cluster.node.stats]  
> > > > > > > > > > > [ip-10-0-1-18.ec2.internal] failed to execute on node  
> > > > > > > > > > > [pYi3z5PgRh6msJX\_armz\_A]
> > > > > > > > > > > 
> > > > > > > > > > > org.elasticsearch.transport.ReceiveTimeoutTransportException:  
> > > > > > > > > > > [ip-10-0-1-20.ec2.internal][inet[/10.0.1.20:9300]][cluster/nodes/stats/n]  
> > > > > > > > > > > request\_id [17564] timed out after [15001ms]
> > > > > > > > > > > 
> > > > > > > > > > > at org.elasticsearch.transport.TransportService$TimeoutHandler.  
> > > > > > > > > > > run(TransportService.java:356)
> > > > > > > > > > > 
> > > > > > > > > > > at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPool  
> > > > > > > > > > > Executor.java:1145)
> > > > > > > > > > > 
> > > > > > > > > > > at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoo  
> > > > > > > > > > > lExecutor.java:615)
> > > > > > > > > > > 
> > > > > > > > > > > at java.lang.Thread.run(Thread.java:745)
> > > > > > > > > > > 
> > > > > > > > > > > 1. Every 30 seconds or 60 seconds, the above error is reported  
> > > > > > > > > > > for one or more of the data nodes
> > > > > > > > > > > 
> > > > > > > > > > > 2. During this time, queries (search, index, etc.) don’t return.  
> > > > > > > > > > > They hang until the error state temporarily resolves itself (a varying time  
> > > > > > > > > > > around 15-20 minutes) at which point the expected result is returned.
> > > > > > > > > > > 
> > > > > > > > > > > --  
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> > > > > > > > > > > [https://groups.google.com/d/msgid/elasticsearch/99a45801-2b95-4a21-a6bf-ca724f41bbc2%40googlegroups.com?utm\_medium=email&utm\_source=footer](https://groups.google.com/d/msgid/elasticsearch/99a45801-2b95-4a21-a6bf-ca724f41bbc2%40googlegroups.com?utm_medium=email&utm_source=footer)  
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<div class="post-metadata">

### Author: ![Chris\_Moore](https://sea2.discourse-cdn.com/elastic/user_avatar/discuss.elastic.co/chris_moore/32/1036_2.png) [@Chris\_Moore](https://discuss.elastic.co/u/Chris_Moore)
#### Post date: [December 24, 2014, 3:27pm UTC](https://discuss.elastic.co/t/startup-issues-with-es-1-3-5/21068/16 "2014-12-24T15:27:49Z")

</div>

Attached is the script we've been using to load the data and the dataset.  
This is the mapping and a sample document

{  
"baseball\_1" : {  
"mappings" : {  
"team" : {  
"properties" : {  
"L" : {  
"type" : "integer",  
"store" : true  
},  
"W" : {  
"type" : "integer",  
"store" : true  
},  
"name" : {  
"type" : "string",  
"store" : true  
},  
"teamID" : {  
"type" : "string",  
"store" : true  
},  
"yearID" : {  
"type" : "string",  
"store" : true  
}  
}  
}  
}  
}  
}

{"yearID":"1871", "teamID":"PH1", "W":"21", "L":"7", "name":"Philadelphia  
Athletics"}

On Wednesday, December 24, 2014 10:22:00 AM UTC-5, Chris Moore wrote:

> We tried many different test setups yesterday. The first setup we tried  
> was:
> 
> 1 Master, 2 Data nodes  
> 38 indices  
> 10 shards per index  
> 1 replica per index  
> 760 total shards (380 primary, 760 total)  
> Each index had 2,745 documents  
> Each index was 218.9kb in size (according to the \_cat/indices API)
> 
> We realize that 10 shards per index with only 2 nodes is not a good idea,  
> so we changed that and reran the tests.
> 
> We changed shards per index to the default of 5 and put 100 indices on the  
> 2 boxes and ran into the same issue. It was the same dataset, so all other  
> size information is correct.
> 
> After that, we turned off one of the data nodes, set replicas to 0 and  
> shards per index to 1. With the same dataset, I loaded ~440 indices and ran  
> into the timeout issues with the Master and Data nodes just idling.
> 
> This is just a test dataset that we came up with to quickly test our  
> issues that contains no confidential information. Once we figure out the  
> issues affecting this test dataset, we'll try things with our real dataset.
> 
> All of this works fine on ES 1.1.2, but not on 1.3.x (1.3.5 is our current  
> test version). We have also tried our real setup on 1.4.1 to no avail.
> 
> On Tuesday, December 23, 2014 5:03:30 PM UTC-5, Mark Walkom wrote:
> 
> > Can you elaborate on your dataset and structure; how many indexes, how  
> > many shards, how big they are etc.
> > 
> > On 24 December 2014 at 07:36, Chris Moore [cmo...@perceivant.com](mailto:cmo...@perceivant.com) wrote:
> > 
> > > Updating again:
> > > 
> > > If we reduce the number of shards per node to below ~350, the system  
> > > operates fine. Once we go above that (number\_of\_indices \*  
> > > number\_of\_shards\_per\_index \* number\_of\_replicas / number\_of\_nodes), we  
> > > start running into the described issues.
> > > 
> > > On Friday, December 12, 2014 2:11:08 PM UTC-5, Chris Moore wrote:
> > > 
> > > > Just a quick update, we duplicated our test environment to see if this  
> > > > issue was fixed by upgrading to 1.4.1 instead. We received the same errors  
> > > > under 1.4.1.
> > > > 
> > > > On Friday, December 5, 2014 4:52:05 PM UTC-5, Chris Moore wrote:
> > > > 
> > > > > As a followup, I closed all the indices on the cluster. I would then  
> > > > > open 1 index and optimize it down to 1 segment. I made it through ~60% of  
> > > > > the indices (and probably ~45% of the data) before the same errors showed  
> > > > > up in the master log and the same behavior resumed.
> > > > > 
> > > > > On Friday, December 5, 2014 3:57:12 PM UTC-5, Chris Moore wrote:
> > > > > 
> > > > > > I replied once, but it seems to have disappeared, so if this gets  
> > > > > > double posted, I'm sorry.
> > > > > > 
> > > > > > We disabled all monitoring when we started looking into the issues to  
> > > > > > ensure there was no external load on ES. Everything we are currently seeing  
> > > > > > is just whatever activity ES generates internally.
> > > > > > 
> > > > > > My understanding regarding optimizing indices is that you shouldn't  
> > > > > > call it explicitly on indices that are regularly updating, rather you  
> > > > > > should let the background merge process handle things. As the majority of  
> > > > > > our indices regularly update, we don't explicitly call optimize on them. I  
> > > > > > can try to call it on them all and see if it helps.
> > > > > > 
> > > > > > As for disk speed, we are currently running ES on SSDs. We have it in  
> > > > > > our roadmap to change that to RAIDed SSDs, but it hasn't been a priority as  
> > > > > > we have been getting acceptable performance thus far.
> > > > > > 
> > > > > > On Friday, December 5, 2014 2:59:11 PM UTC-5, Jörg Prante wrote:
> > > > > > 
> > > > > > > Do you have a monitor tool running?
> > > > > > > 
> > > > > > > I recommend to switch it off, and optimize your indices, and then  
> > > > > > > update your monitoring tools.
> > > > > > > 
> > > > > > > Seems you have many segments/slow disk to get them reported in 15s.
> > > > > > > 
> > > > > > > Jörg  
> > > > > > > Am 05.12.2014 16:10 schrieb "Chris Moore" [cmo...@perceivant.com](mailto:cmo...@perceivant.com):
> > > > > > > 
> > > > > > > > This is running on Amazon EC2 in a VPC on dedicated instances.  
> > > > > > > > Physical network infrastructure is likely fine. Are there specific network  
> > > > > > > > issues you think we should look into?
> > > > > > > > 
> > > > > > > > When we are in a problem state, we can communicate between the  
> > > > > > > > nodes just fine. I can run curl requests to ES (health checks, etc) from  
> > > > > > > > the master node to the data nodes directly and they return as expected. So,  
> > > > > > > > there doesn't seem to be a socket exhaustion issue (additionally there are  
> > > > > > > > no kernel errors being reported).
> > > > > > > > 
> > > > > > > > It feels like there is a queue/buffer filling up somewhere that  
> > > > > > > > once it has availability again, things start working. But,  
> > > > > > > > /\_cat/thread\_pool?v doesn't show anything above 0 (although, when we are in  
> > > > > > > > the problem state, it doesn't return a response if run on master),  
> > > > > > > > nodes/hot\_threads doesn't show anything going on, etc.
> > > > > > > > 
> > > > > > > > On Thursday, December 4, 2014 4:10:37 PM UTC-5, Support Monkey  
> > > > > > > > wrote:
> > > > > > > > 
> > > > > > > > > I would think the network is a prime suspect then, as there is no  
> > > > > > > > > significant difference between 1.2.x and 1.3.x in relation to memory usage.  
> > > > > > > > > And you'd certainly see OOMs in node logs if it was a memory issue.
> > > > > > > > > 
> > > > > > > > > On Thursday, December 4, 2014 12:45:58 PM UTC-8, Chris Moore wrote:
> > > > > > > > > 
> > > > > > > > > > There is nothing (literally) in the log of either data node after  
> > > > > > > > > > the node joined events and nothing in the master log between index recovery  
> > > > > > > > > > and the first error message.
> > > > > > > > > > 
> > > > > > > > > > There are 0 queries run before the errors start occurring (access  
> > > > > > > > > > to the nodes is blocked via a firewall, so the only communications are  
> > > > > > > > > > between the nodes). We have 50% of the RAM allocated to the heap on each  
> > > > > > > > > > node (4GB each).
> > > > > > > > > > 
> > > > > > > > > > This cluster operated without issue under 1.1.2. Did something  
> > > > > > > > > > change between 1.1.2 and 1.3.5 that drastically increased idle heap  
> > > > > > > > > > requirements?
> > > > > > > > > > 
> > > > > > > > > > On Thursday, December 4, 2014 3:29:23 PM UTC-5, Support Monkey  
> > > > > > > > > > wrote:
> > > > > > > > > > 
> > > > > > > > > > > Generally ReceiveTimeoutTransportException is due to network  
> > > > > > > > > > > disconnects or a node failing to respond due to heavy load. What does the  
> > > > > > > > > > > log of pYi3z5PgRh6msJX\_armz\_A show you? Perhaps it has too little heap  
> > > > > > > > > > > allocated. Rule of thumb is 1/2 available memory but \<= 31GB
> > > > > > > > > > > 
> > > > > > > > > > > On Wednesday, December 3, 2014 12:52:58 PM UTC-8, Jeff Keller  
> > > > > > > > > > > wrote:
> > > > > > > > > > > 
> > > > > > > > > > > > ES Version: 1.3.5
> > > > > > > > > > > > 
> > > > > > > > > > > > OS: Ubuntu 14.04.1 LTS
> > > > > > > > > > > > 
> > > > > > > > > > > > Machine: 2 Intel(R) Xeon(R) CPU E5-2670 v2 @ 2.50GHz, 8 GB RAM  
> > > > > > > > > > > > at AWS
> > > > > > > > > > > > 
> > > > > > > > > > > > master (ip-10-0-1-18), 2 data nodes (ip-10-0-1-19, ip-10-0-1-20)
> > > > > > > > > > > > 
> > > > > > > > > > > > _After upgrading from ES 1.1.2..._
> > > > > > > > > > > > 
> > > > > > > > > > > > 1. Startup ES on master
> > > > > > > > > > > > 2. All nodes join cluster
> > > > > > > > > > > > 3. [2014-12-03 20:30:54,789][INFO][gateway]  
> > > > > > > > > > > > [ip-10-0-1-18.ec2.internal] recovered [157] indices into cluster\_state
> > > > > > > > > > > > 4. Checked health a few times
> > > > > > > > > > > > 
> > > > > > > > > > > > curl -XGET localhost:9200/\_cat/health?v
> > > > > > > > > > > > 
> > > > > > > > > > > > 1. 6 minutes after cluster recovery initiates (and 5:20 after  
> > > > > > > > > > > > the recovery finishes), the log on the master node (10.0.1.18) reports:
> > > > > > > > > > > > 
> > > > > > > > > > > > [2014-12-03 20:36:57,532][DEBUG][action.admin.cluster.node.stats]  
> > > > > > > > > > > > [ip-10-0-1-18.ec2.internal] failed to execute on node  
> > > > > > > > > > > > [pYi3z5PgRh6msJX\_armz\_A]
> > > > > > > > > > > > 
> > > > > > > > > > > > org.elasticsearch.transport.ReceiveTimeoutTransportException:  
> > > > > > > > > > > > [ip-10-0-1-20.ec2.internal][inet[/10.0.1.20:9300]][cluster/nodes/stats/n]  
> > > > > > > > > > > > request\_id [17564] timed out after [15001ms]
> > > > > > > > > > > > 
> > > > > > > > > > > > at org.elasticsearch.transport.TransportService$TimeoutHandler.  
> > > > > > > > > > > > run(TransportService.java:356)
> > > > > > > > > > > > 
> > > > > > > > > > > > at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPool  
> > > > > > > > > > > > Executor.java:1145)
> > > > > > > > > > > > 
> > > > > > > > > > > > at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoo  
> > > > > > > > > > > > lExecutor.java:615)
> > > > > > > > > > > > 
> > > > > > > > > > > > at java.lang.Thread.run(Thread.java:745)
> > > > > > > > > > > > 
> > > > > > > > > > > > 1. Every 30 seconds or 60 seconds, the above error is reported  
> > > > > > > > > > > > for one or more of the data nodes
> > > > > > > > > > > > 
> > > > > > > > > > > > 2. During this time, queries (search, index, etc.) don’t  
> > > > > > > > > > > > return. They hang until the error state temporarily resolves itself (a  
> > > > > > > > > > > > varying time around 15-20 minutes) at which point the expected result is  
> > > > > > > > > > > > returned.
> > > > > > > > > > > > 
> > > > > > > > > > > > --  
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<div class="post-metadata">

### Author: ![warkolm](https://sea2.discourse-cdn.com/elastic/user_avatar/discuss.elastic.co/warkolm/32/39224_2.png) [@warkolm](https://discuss.elastic.co/u/warkolm)
#### Post date: [December 24, 2014, 7:00pm UTC](https://discuss.elastic.co/t/startup-issues-with-es-1-3-5/21068/17 "2014-12-24T19:00:11Z")

</div>

Ok a few things that don't make sense to me;

1. 10 indexes of only ~220Kb? Are you sure of this?
2. If so why not just one index?
3. Is baseball\_data.json the data for an entire index? If not can you  
clarify.
4. What java version are you on?
5. What monitoring were you using?
6. Can you delete all your data, switch monitoring on, start reindexing  
and then watch what happens? Marvel would be ideal for this.

What you are seeing is really, really weird. That is a high shard count  
however given the dataset is small I wouldn't think it'd cause problems  
(but I could be wrong).

On 25 December 2014 at 02:27, Chris Moore [cmoore@perceivant.com](mailto:cmoore@perceivant.com) wrote:

> Attached is the script we've been using to load the data and the dataset.  
> This is the mapping and a sample document
> 
> {  
> "baseball\_1" : {  
> "mappings" : {  
> "team" : {  
> "properties" : {  
> "L" : {  
> "type" : "integer",  
> "store" : true  
> },  
> "W" : {  
> "type" : "integer",  
> "store" : true  
> },  
> "name" : {  
> "type" : "string",  
> "store" : true  
> },  
> "teamID" : {  
> "type" : "string",  
> "store" : true  
> },  
> "yearID" : {  
> "type" : "string",  
> "store" : true  
> }  
> }  
> }  
> }  
> }  
> }
> 
> {"yearID":"1871", "teamID":"PH1", "W":"21", "L":"7", "name":"Philadelphia  
> Athletics"}
> 
> On Wednesday, December 24, 2014 10:22:00 AM UTC-5, Chris Moore wrote:
> 
> > We tried many different test setups yesterday. The first setup we tried  
> > was:
> > 
> > 1 Master, 2 Data nodes  
> > 38 indices  
> > 10 shards per index  
> > 1 replica per index  
> > 760 total shards (380 primary, 760 total)  
> > Each index had 2,745 documents  
> > Each index was 218.9kb in size (according to the \_cat/indices API)
> > 
> > We realize that 10 shards per index with only 2 nodes is not a good idea,  
> > so we changed that and reran the tests.
> > 
> > We changed shards per index to the default of 5 and put 100 indices on  
> > the 2 boxes and ran into the same issue. It was the same dataset, so all  
> > other size information is correct.
> > 
> > After that, we turned off one of the data nodes, set replicas to 0 and  
> > shards per index to 1. With the same dataset, I loaded ~440 indices and ran  
> > into the timeout issues with the Master and Data nodes just idling.
> > 
> > This is just a test dataset that we came up with to quickly test our  
> > issues that contains no confidential information. Once we figure out the  
> > issues affecting this test dataset, we'll try things with our real dataset.
> > 
> > All of this works fine on ES 1.1.2, but not on 1.3.x (1.3.5 is our  
> > current test version). We have also tried our real setup on 1.4.1 to no  
> > avail.
> > 
> > On Tuesday, December 23, 2014 5:03:30 PM UTC-5, Mark Walkom wrote:
> > 
> > > Can you elaborate on your dataset and structure; how many indexes, how  
> > > many shards, how big they are etc.
> > > 
> > > On 24 December 2014 at 07:36, Chris Moore [cmo...@perceivant.com](mailto:cmo...@perceivant.com) wrote:
> > > 
> > > > Updating again:
> > > > 
> > > > If we reduce the number of shards per node to below ~350, the system  
> > > > operates fine. Once we go above that (number\_of\_indices \*  
> > > > number\_of\_shards\_per\_index \* number\_of\_replicas / number\_of\_nodes), we  
> > > > start running into the described issues.
> > > > 
> > > > On Friday, December 12, 2014 2:11:08 PM UTC-5, Chris Moore wrote:
> > > > 
> > > > > Just a quick update, we duplicated our test environment to see if this  
> > > > > issue was fixed by upgrading to 1.4.1 instead. We received the same errors  
> > > > > under 1.4.1.
> > > > > 
> > > > > On Friday, December 5, 2014 4:52:05 PM UTC-5, Chris Moore wrote:
> > > > > 
> > > > > > As a followup, I closed all the indices on the cluster. I would then  
> > > > > > open 1 index and optimize it down to 1 segment. I made it through ~60% of  
> > > > > > the indices (and probably ~45% of the data) before the same errors showed  
> > > > > > up in the master log and the same behavior resumed.
> > > > > > 
> > > > > > On Friday, December 5, 2014 3:57:12 PM UTC-5, Chris Moore wrote:
> > > > > > 
> > > > > > > I replied once, but it seems to have disappeared, so if this gets  
> > > > > > > double posted, I'm sorry.
> > > > > > > 
> > > > > > > We disabled all monitoring when we started looking into the issues  
> > > > > > > to ensure there was no external load on ES. Everything we are currently  
> > > > > > > seeing is just whatever activity ES generates internally.
> > > > > > > 
> > > > > > > My understanding regarding optimizing indices is that you shouldn't  
> > > > > > > call it explicitly on indices that are regularly updating, rather you  
> > > > > > > should let the background merge process handle things. As the majority of  
> > > > > > > our indices regularly update, we don't explicitly call optimize on them. I  
> > > > > > > can try to call it on them all and see if it helps.
> > > > > > > 
> > > > > > > As for disk speed, we are currently running ES on SSDs. We have it  
> > > > > > > in our roadmap to change that to RAIDed SSDs, but it hasn't been a priority  
> > > > > > > as we have been getting acceptable performance thus far.
> > > > > > > 
> > > > > > > On Friday, December 5, 2014 2:59:11 PM UTC-5, Jörg Prante wrote:
> > > > > > > 
> > > > > > > > Do you have a monitor tool running?
> > > > > > > > 
> > > > > > > > I recommend to switch it off, and optimize your indices, and then  
> > > > > > > > update your monitoring tools.
> > > > > > > > 
> > > > > > > > Seems you have many segments/slow disk to get them reported in 15s.
> > > > > > > > 
> > > > > > > > Jörg  
> > > > > > > > Am 05.12.2014 16:10 schrieb "Chris Moore" [cmo...@perceivant.com](mailto:cmo...@perceivant.com):
> > > > > > > > 
> > > > > > > > > This is running on Amazon EC2 in a VPC on dedicated instances.  
> > > > > > > > > Physical network infrastructure is likely fine. Are there specific network  
> > > > > > > > > issues you think we should look into?
> > > > > > > > > 
> > > > > > > > > When we are in a problem state, we can communicate between the  
> > > > > > > > > nodes just fine. I can run curl requests to ES (health checks, etc) from  
> > > > > > > > > the master node to the data nodes directly and they return as expected. So,  
> > > > > > > > > there doesn't seem to be a socket exhaustion issue (additionally there are  
> > > > > > > > > no kernel errors being reported).
> > > > > > > > > 
> > > > > > > > > It feels like there is a queue/buffer filling up somewhere that  
> > > > > > > > > once it has availability again, things start working. But,  
> > > > > > > > > /\_cat/thread\_pool?v doesn't show anything above 0 (although, when we are in  
> > > > > > > > > the problem state, it doesn't return a response if run on master),  
> > > > > > > > > nodes/hot\_threads doesn't show anything going on, etc.
> > > > > > > > > 
> > > > > > > > > On Thursday, December 4, 2014 4:10:37 PM UTC-5, Support Monkey  
> > > > > > > > > wrote:
> > > > > > > > > 
> > > > > > > > > > I would think the network is a prime suspect then, as there is no  
> > > > > > > > > > significant difference between 1.2.x and 1.3.x in relation to memory usage.  
> > > > > > > > > > And you'd certainly see OOMs in node logs if it was a memory issue.
> > > > > > > > > > 
> > > > > > > > > > On Thursday, December 4, 2014 12:45:58 PM UTC-8, Chris Moore  
> > > > > > > > > > wrote:
> > > > > > > > > > 
> > > > > > > > > > > There is nothing (literally) in the log of either data node  
> > > > > > > > > > > after the node joined events and nothing in the master log between index  
> > > > > > > > > > > recovery and the first error message.
> > > > > > > > > > > 
> > > > > > > > > > > There are 0 queries run before the errors start occurring  
> > > > > > > > > > > (access to the nodes is blocked via a firewall, so the only communications  
> > > > > > > > > > > are between the nodes). We have 50% of the RAM allocated to the heap on  
> > > > > > > > > > > each node (4GB each).
> > > > > > > > > > > 
> > > > > > > > > > > This cluster operated without issue under 1.1.2. Did something  
> > > > > > > > > > > change between 1.1.2 and 1.3.5 that drastically increased idle heap  
> > > > > > > > > > > requirements?
> > > > > > > > > > > 
> > > > > > > > > > > On Thursday, December 4, 2014 3:29:23 PM UTC-5, Support Monkey  
> > > > > > > > > > > wrote:
> > > > > > > > > > > 
> > > > > > > > > > > > Generally ReceiveTimeoutTransportException is due to network  
> > > > > > > > > > > > disconnects or a node failing to respond due to heavy load. What does the  
> > > > > > > > > > > > log of pYi3z5PgRh6msJX\_armz\_A show you? Perhaps it has too little heap  
> > > > > > > > > > > > allocated. Rule of thumb is 1/2 available memory but \<= 31GB
> > > > > > > > > > > > 
> > > > > > > > > > > > On Wednesday, December 3, 2014 12:52:58 PM UTC-8, Jeff Keller  
> > > > > > > > > > > > wrote:
> > > > > > > > > > > > 
> > > > > > > > > > > > > ES Version: 1.3.5
> > > > > > > > > > > > > 
> > > > > > > > > > > > > OS: Ubuntu 14.04.1 LTS
> > > > > > > > > > > > > 
> > > > > > > > > > > > > Machine: 2 Intel(R) Xeon(R) CPU E5-2670 v2 @ 2.50GHz, 8 GB RAM  
> > > > > > > > > > > > > at AWS
> > > > > > > > > > > > > 
> > > > > > > > > > > > > master (ip-10-0-1-18), 2 data nodes (ip-10-0-1-19,  
> > > > > > > > > > > > > ip-10-0-1-20)
> > > > > > > > > > > > > 
> > > > > > > > > > > > > _After upgrading from ES 1.1.2..._
> > > > > > > > > > > > > 
> > > > > > > > > > > > > 1. Startup ES on master
> > > > > > > > > > > > > 2. All nodes join cluster
> > > > > > > > > > > > > 3. [2014-12-03 20:30:54,789][INFO][gateway]  
> > > > > > > > > > > > > [ip-10-0-1-18.ec2.internal] recovered [157] indices into cluster\_state
> > > > > > > > > > > > > 4. Checked health a few times
> > > > > > > > > > > > > 
> > > > > > > > > > > > > curl -XGET localhost:9200/\_cat/health?v
> > > > > > > > > > > > > 
> > > > > > > > > > > > > 1. 6 minutes after cluster recovery initiates (and 5:20 after  
> > > > > > > > > > > > > the recovery finishes), the log on the master node (10.0.1.18) reports:
> > > > > > > > > > > > > 
> > > > > > > > > > > > > [2014-12-03 20:36:57,532][DEBUG][action.admin.cluster.node.stats]  
> > > > > > > > > > > > > [ip-10-0-1-18.ec2.internal] failed to execute on node  
> > > > > > > > > > > > > [pYi3z5PgRh6msJX\_armz\_A]
> > > > > > > > > > > > > 
> > > > > > > > > > > > > org.elasticsearch.transport.ReceiveTimeoutTransportException:  
> > > > > > > > > > > > > [ip-10-0-1-20.ec2.internal][inet[/10.0.1.20:9300]][cluster/nodes/stats/n]  
> > > > > > > > > > > > > request\_id [17564] timed out after [15001ms]
> > > > > > > > > > > > > 
> > > > > > > > > > > > > at org.elasticsearch.transport.TransportService$  
> > > > > > > > > > > > > TimeoutHandler.run(TransportService.java:356)
> > > > > > > > > > > > > 
> > > > > > > > > > > > > at java.util.concurrent.ThreadPoolExecutor.runWorker(  
> > > > > > > > > > > > > ThreadPoolExecutor.java:1145)
> > > > > > > > > > > > > 
> > > > > > > > > > > > > at java.util.concurrent.ThreadPoolExecutor$Worker.run(  
> > > > > > > > > > > > > ThreadPoolExecutor.java:615)
> > > > > > > > > > > > > 
> > > > > > > > > > > > > at java.lang.Thread.run(Thread.java:745)
> > > > > > > > > > > > > 
> > > > > > > > > > > > > 1. Every 30 seconds or 60 seconds, the above error is reported  
> > > > > > > > > > > > > for one or more of the data nodes
> > > > > > > > > > > > > 
> > > > > > > > > > > > > 2. During this time, queries (search, index, etc.) don’t  
> > > > > > > > > > > > > return. They hang until the error state temporarily resolves itself (a  
> > > > > > > > > > > > > varying time around 15-20 minutes) at which point the expected result is  
> > > > > > > > > > > > > returned.
> > > > > > > > > > > > > 
> > > > > > > > > > > > > --  
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### Author: ![Gurvinder\_Singh](https://avatars.discourse-cdn.com/v4/letter/g/cab0a1/32.png) [@Gurvinder\_Singh](https://discuss.elastic.co/u/Gurvinder_Singh)
#### Post date: [December 25, 2014, 1:33pm UTC](https://discuss.elastic.co/t/startup-issues-with-es-1-3-5/21068/18 "2014-12-25T13:33:10Z")

</div>

We might have faced similar problem with ES 1.3.6. The reason we found  
was might be due to concurrent merges. These settings have helped us  
in fixing the issue.  
merge:  
policy:  
max\_merge\_at\_once: 5  
reclaim\_deletes\_weight: 4.0  
segments\_per\_tier: 5  
indices:  
store:  
throttle:  
max\_bytes\_per\_sec: 40mb # as we have few SATA disk for storage  
type: merge

you can check your hanged process by attaching jstack to it as

jstack -F

Also once you detach the jstack process become responding again and  
joins cluster. Although it should not happen at all as if disk is the  
limitation ES should not stop responding.

- Gurvinder  
On 12/24/2014 08:00 PM, Mark Walkom wrote:

> Ok a few things that don't make sense to me;
> 
> 1. 10 indexes of only ~220Kb? Are you sure of this? 2. If so why  
> not just one index? 3. Is baseball\_data.json the data for an entire  
> index? If not can you clarify. 4. What java version are you on? 5.  
> What monitoring were you using? 6. Can you delete all your data,  
> switch monitoring on, start reindexing and then watch what happens?  
> Marvel would be ideal for this.
> 
> What you are seeing is really, really weird. That is a high shard  
> count however given the dataset is small I wouldn't think it'd  
> cause problems (but I could be wrong).
> 
> On 25 December 2014 at 02:27, Chris Moore \<[cmoore@perceivant.com](mailto:cmoore@perceivant.com)  
> [mailto:cmoore@perceivant.com](mailto:cmoore@perceivant.com)\> wrote:
> 
> Attached is the script we've been using to load the data and the  
> dataset. This is the mapping and a sample document
> 
> { "baseball\_1" : { "mappings" : { "team" : { "properties" : { "L" :  
> { "type" : "integer", "store" : true }, "W" : { "type" :  
> "integer", "store" : true }, "name" : { "type" : "string", "store"  
> : true }, "teamID" : { "type" : "string", "store" : true },  
> "yearID" : { "type" : "string", "store" : true } } } } } }
> 
> {"yearID":"1871", "teamID":"PH1", "W":"21", "L":"7",  
> "name":"Philadelphia Athletics"}
> 
> On Wednesday, December 24, 2014 10:22:00 AM UTC-5, Chris Moore  
> wrote:
> 
> We tried many different test setups yesterday. The first setup we  
> tried was:
> 
> 1 Master, 2 Data nodes 38 indices 10 shards per index 1 replica per  
> index 760 total shards (380 primary, 760 total) Each index had  
> 2,745 documents Each index was 218.9kb in size (according to the  
> \_cat/indices API)
> 
> We realize that 10 shards per index with only 2 nodes is not a good  
> idea, so we changed that and reran the tests.
> 
> We changed shards per index to the default of 5 and put 100 indices  
> on the 2 boxes and ran into the same issue. It was the same  
> dataset, so all other size information is correct.
> 
> After that, we turned off one of the data nodes, set replicas to 0  
> and shards per index to 1. With the same dataset, I loaded ~440  
> indices and ran into the timeout issues with the Master and Data  
> nodes just idling.
> 
> This is just a test dataset that we came up with to quickly test  
> our issues that contains no confidential information. Once we  
> figure out the issues affecting this test dataset, we'll try things  
> with our real dataset.
> 
> All of this works fine on ES 1.1.2, but not on 1.3.x (1.3.5 is our  
> current test version). We have also tried our real setup on 1.4.1  
> to no avail.
> 
> On Tuesday, December 23, 2014 5:03:30 PM UTC-5, Mark Walkom wrote:
> 
> Can you elaborate on your dataset and structure; how many indexes,  
> how many shards, how big they are etc.
> 
> On 24 December 2014 at 07:36, Chris Moore [cmo...@perceivant.com](mailto:cmo...@perceivant.com)  
> wrote:
> 
> Updating again:
> 
> If we reduce the number of shards per node to below ~350, the  
> system operates fine. Once we go above that (number\_of\_indices \*  
> number\_of\_shards\_per\_index \* number\_of\_replicas / number\_of\_nodes),  
> we start running into the described issues.
> 
> On Friday, December 12, 2014 2:11:08 PM UTC-5, Chris Moore wrote:
> 
> Just a quick update, we duplicated our test environment to see if  
> this issue was fixed by upgrading to 1.4.1 instead. We received the  
> same errors under 1.4.1.
> 
> On Friday, December 5, 2014 4:52:05 PM UTC-5, Chris Moore wrote:
> 
> As a followup, I closed all the indices on the cluster. I would  
> then open 1 index and optimize it down to 1 segment. I made it  
> through ~60% of the indices (and probably ~45% of the data) before  
> the same errors showed up in the master log and the same behavior  
> resumed.
> 
> On Friday, December 5, 2014 3:57:12 PM UTC-5, Chris Moore wrote:
> 
> I replied once, but it seems to have disappeared, so if this gets  
> double posted, I'm sorry.
> 
> We disabled all monitoring when we started looking into the issues  
> to ensure there was no external load on ES. Everything we are  
> currently seeing is just whatever activity ES generates  
> internally.
> 
> My understanding regarding optimizing indices is that you shouldn't  
> call it explicitly on indices that are regularly updating, rather  
> you should let the background merge process handle things. As the  
> majority of our indices regularly update, we don't explicitly call  
> optimize on them. I can try to call it on them all and see if it  
> helps.
> 
> As for disk speed, we are currently running ES on SSDs. We have it  
> in our roadmap to change that to RAIDed SSDs, but it hasn't been a  
> priority as we have been getting acceptable performance thus far.
> 
> On Friday, December 5, 2014 2:59:11 PM UTC-5, Jörg Prante wrote:
> 
> Do you have a monitor tool running?
> 
> I recommend to switch it off, and optimize your indices, and then  
> update your monitoring tools.
> 
> Seems you have many segments/slow disk to get them reported in  
> 15s.
> 
> Jörg
> 
> Am 05.12.2014 16:10 schrieb "Chris Moore" [cmo...@perceivant.com](mailto:cmo...@perceivant.com):
> 
> This is running on Amazon EC2 in a VPC on dedicated instances.  
> Physical network infrastructure is likely fine. Are there specific  
> network issues you think we should look into?
> 
> When we are in a problem state, we can communicate between the  
> nodes just fine. I can run curl requests to ES (health checks, etc)  
> from the master node to the data nodes directly and they return as  
> expected. So, there doesn't seem to be a socket exhaustion issue  
> (additionally there are no kernel errors being reported).
> 
> It feels like there is a queue/buffer filling up somewhere that  
> once it has availability again, things start working. But,  
> /\_cat/thread\_pool?v doesn't show anything above 0 (although, when  
> we are in the problem state, it doesn't return a response if run on  
> master), nodes/hot\_threads doesn't show anything going on, etc.
> 
> On Thursday, December 4, 2014 4:10:37 PM UTC-5, Support Monkey  
> wrote:
> 
> I would think the network is a prime suspect then, as there is no  
> significant difference between 1.2.x and 1.3.x in relation to  
> memory usage. And you'd certainly see OOMs in node logs if it was a  
> memory issue.
> 
> On Thursday, December 4, 2014 12:45:58 PM UTC-8, Chris Moore  
> wrote:
> 
> There is nothing (literally) in the log of either data node after  
> the node joined events and nothing in the master log between index  
> recovery and the first error message.
> 
> There are 0 queries run before the errors start occurring (access  
> to the nodes is blocked via a firewall, so the only communications  
> are between the nodes). We have 50% of the RAM allocated to the  
> heap on each node (4GB each).
> 
> This cluster operated without issue under 1.1.2. Did something  
> change between 1.1.2 and 1.3.5 that drastically increased idle heap  
> requirements?
> 
> On Thursday, December 4, 2014 3:29:23 PM UTC-5, Support Monkey  
> wrote:
> 
> Generally \_\_ReceiveTimeoutTransp\_\_\_\_ortExcepti\_\_on is due to  
> network disconnects or a node failing to respond due to heavy load.  
> What does the log of pYi3z5PgRh6msJX\_armz\_A show you? Perhaps it  
> has too little heap allocated. Rule of thumb is 1/2 available  
> memory but \<= 31GB
> 
> On Wednesday, December 3, 2014 12:52:58 PM UTC-8, Jeff Keller  
> wrote:
> 
> ES Version: 1.3.5
> 
> OS: Ubuntu 14.04.1 LTS
> 
> Machine: 2 Intel(R) Xeon(R) CPU E5-2670 v2 @ 2.50GHz, 8 GB RAM at  
> AWS
> 
> master (ip-10-0-1-18), 2 data nodes (ip-10-0-1-19, ip-10-0-1-20)
> 
> - 
> - 
> 
> _After upgrading from ES 1.1.2..._
> 
> 1. Startup ES on master 2. All nodes join cluster 3. [2014-12-03  
> 20:30:54,789][INFO][gateway] [ip-10-0-1-18.ec2.internal]  
> recovered [157] indices into cluster\_state 4. Checked health a few  
> times
> 
> curl -XGET localhost:9200/\_cat/health?v
> 
> - 
> - 
> 
> 1. 6 minutes after cluster recovery initiates (and 5:20 after the  
> recovery finishes), the log on the master node (10.0.1.18)  
> reports:
> 
> [2014-12-03  
> 20:36:57,532][DEBUG][action.\_\_ad\_\_\_\_min.cluster.node.stats]  
> [ip-10-0-1-18.ec2.internal] failed to execute on node  
> [pYi3z5PgRh6msJX\_armz\_A]
> 
> org.elasticsearch.transport. **Re\_\_\_\_ceiveTimeoutTransportExcepti\_\_on** \_\_:

[ip-10-0-1-20.ec2.internal][\_\_in\_\_\_\_et[/10.0.1.20:9300]][\_\_cluster/\_\_n\_\_odes/stats/n]

> request\_id [17564] timed out after [15001ms]
> 
> at  
> org.elasticsearch.transport.\_\_Tr\_\_\_\_ansportService$\_\_TimeoutHandler.\_\_\_\_run(\_\_TransportService.java:356)
> 
> at  
> java.util.concurrent.\_\_ThreadPoo\_\_\_\_lExecutor.runWorker(\_\_ThreadPool\_\_\_\_Executor.java:1145)
> 
> at  
> java.util.concurrent.\_\_ThreadPoo\_\_\_\_lExecutor$Worker.run(\_\_ThreadPoo\_\_\_\_lExecutor.java:615)
> 
> at java.lang.Thread.run(Thread.\_\_ja\_\_\_\_va:745)
> 
> 1. Every 30 seconds or 60 seconds, the above error is reported for  
> one or more of the data nodes
> 
> 2. During this time, queries (search, index, etc.) don’t return.  
> They hang until the error state temporarily resolves itself (a  
> varying time around 15-20 minutes) at which point the expected  
> result is returned.
> 
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<div class="post-metadata">

### Author: ![Chris\_Moore](https://sea2.discourse-cdn.com/elastic/user_avatar/discuss.elastic.co/chris_moore/32/1036_2.png) [@Chris\_Moore](https://discuss.elastic.co/u/Chris_Moore)
#### Post date: [December 26, 2014, 3:06pm UTC](https://discuss.elastic.co/t/startup-issues-with-es-1-3-5/21068/19 "2014-12-26T15:06:52Z")

</div>

Thanks for responding.

The baseball dataset was created simply to have a small dataset that could  
reproduce the issue we were seeing with our production data. So yes, each  
copy of the index is only 220kb in size.

It's not all just one index because it was created for testing purposes. We  
currently have 2 production clusters, the first has ~95 indices and the  
second has ~304 indices, each with unrelated data and various sizes from  
just a few KB to hundreds of GB.

Yes, the baseball\_data.json file is used to fully populate 1 index. We load  
that file into each index we create (so baseball\_1, baseball\_2, baseball\_3)  
in the shell script so we can quickly analyze a number\_of\_indices,  
number\_of\_shards\_per\_index, number\_of\_replicas combination to try to figure  
out more about these issues.

As for Java version:  
java version "1.7.0\_72"  
Java(TM) SE Runtime Environment (build 1.7.0\_72-b14)  
Java HotSpot(TM) 64-Bit Server VM (build 24.72-b04, mixed mode)

We hooked up Marvel to see if it would help us analyze the issue. It didn't  
show anything interesting (full thread pools, any soft of resource  
starvation, etc). I can provide specific metrics if that would help.

Thanks.

On Wednesday, December 24, 2014 2:00:42 PM UTC-5, Mark Walkom wrote:

> Ok a few things that don't make sense to me;
> 
> 1. 10 indexes of only ~220Kb? Are you sure of this?
> 2. If so why not just one index?
> 3. Is baseball\_data.json the data for an entire index? If not can you  
> clarify.
> 4. What java version are you on?
> 5. What monitoring were you using?
> 6. Can you delete all your data, switch monitoring on, start  
> reindexing and then watch what happens? Marvel would be ideal for this.
> 
> What you are seeing is really, really weird. That is a high shard count  
> however given the dataset is small I wouldn't think it'd cause problems  
> (but I could be wrong).
> 
> On 25 December 2014 at 02:27, Chris Moore \<[cmo...@perceivant.com](mailto:cmo...@perceivant.com)  
> \<javascript:\>\> wrote:
> 
> > Attached is the script we've been using to load the data and the dataset.  
> > This is the mapping and a sample document
> > 
> > {  
> > "baseball\_1" : {  
> > "mappings" : {  
> > "team" : {  
> > "properties" : {  
> > "L" : {  
> > "type" : "integer",  
> > "store" : true  
> > },  
> > "W" : {  
> > "type" : "integer",  
> > "store" : true  
> > },  
> > "name" : {  
> > "type" : "string",  
> > "store" : true  
> > },  
> > "teamID" : {  
> > "type" : "string",  
> > "store" : true  
> > },  
> > "yearID" : {  
> > "type" : "string",  
> > "store" : true  
> > }  
> > }  
> > }  
> > }  
> > }  
> > }
> > 
> > {"yearID":"1871", "teamID":"PH1", "W":"21", "L":"7", "name":"Philadelphia  
> > Athletics"}
> > 
> > On Wednesday, December 24, 2014 10:22:00 AM UTC-5, Chris Moore wrote:
> > 
> > > We tried many different test setups yesterday. The first setup we tried  
> > > was:
> > > 
> > > 1 Master, 2 Data nodes  
> > > 38 indices  
> > > 10 shards per index  
> > > 1 replica per index  
> > > 760 total shards (380 primary, 760 total)  
> > > Each index had 2,745 documents  
> > > Each index was 218.9kb in size (according to the \_cat/indices API)
> > > 
> > > We realize that 10 shards per index with only 2 nodes is not a good  
> > > idea, so we changed that and reran the tests.
> > > 
> > > We changed shards per index to the default of 5 and put 100 indices on  
> > > the 2 boxes and ran into the same issue. It was the same dataset, so all  
> > > other size information is correct.
> > > 
> > > After that, we turned off one of the data nodes, set replicas to 0 and  
> > > shards per index to 1. With the same dataset, I loaded ~440 indices and ran  
> > > into the timeout issues with the Master and Data nodes just idling.
> > > 
> > > This is just a test dataset that we came up with to quickly test our  
> > > issues that contains no confidential information. Once we figure out the  
> > > issues affecting this test dataset, we'll try things with our real dataset.
> > > 
> > > All of this works fine on ES 1.1.2, but not on 1.3.x (1.3.5 is our  
> > > current test version). We have also tried our real setup on 1.4.1 to no  
> > > avail.
> > > 
> > > On Tuesday, December 23, 2014 5:03:30 PM UTC-5, Mark Walkom wrote:
> > > 
> > > > Can you elaborate on your dataset and structure; how many indexes, how  
> > > > many shards, how big they are etc.
> > > > 
> > > > On 24 December 2014 at 07:36, Chris Moore [cmo...@perceivant.com](mailto:cmo...@perceivant.com)  
> > > > wrote:
> > > > 
> > > > > Updating again:
> > > > > 
> > > > > If we reduce the number of shards per node to below ~350, the system  
> > > > > operates fine. Once we go above that (number\_of\_indices \*  
> > > > > number\_of\_shards\_per\_index \* number\_of\_replicas / number\_of\_nodes), we  
> > > > > start running into the described issues.
> > > > > 
> > > > > On Friday, December 12, 2014 2:11:08 PM UTC-5, Chris Moore wrote:
> > > > > 
> > > > > > Just a quick update, we duplicated our test environment to see if  
> > > > > > this issue was fixed by upgrading to 1.4.1 instead. We received the same  
> > > > > > errors under 1.4.1.
> > > > > > 
> > > > > > On Friday, December 5, 2014 4:52:05 PM UTC-5, Chris Moore wrote:
> > > > > > 
> > > > > > > As a followup, I closed all the indices on the cluster. I would then  
> > > > > > > open 1 index and optimize it down to 1 segment. I made it through ~60% of  
> > > > > > > the indices (and probably ~45% of the data) before the same errors showed  
> > > > > > > up in the master log and the same behavior resumed.
> > > > > > > 
> > > > > > > On Friday, December 5, 2014 3:57:12 PM UTC-5, Chris Moore wrote:
> > > > > > > 
> > > > > > > > I replied once, but it seems to have disappeared, so if this gets  
> > > > > > > > double posted, I'm sorry.
> > > > > > > > 
> > > > > > > > We disabled all monitoring when we started looking into the issues  
> > > > > > > > to ensure there was no external load on ES. Everything we are currently  
> > > > > > > > seeing is just whatever activity ES generates internally.
> > > > > > > > 
> > > > > > > > My understanding regarding optimizing indices is that you shouldn't  
> > > > > > > > call it explicitly on indices that are regularly updating, rather you  
> > > > > > > > should let the background merge process handle things. As the majority of  
> > > > > > > > our indices regularly update, we don't explicitly call optimize on them. I  
> > > > > > > > can try to call it on them all and see if it helps.
> > > > > > > > 
> > > > > > > > As for disk speed, we are currently running ES on SSDs. We have it  
> > > > > > > > in our roadmap to change that to RAIDed SSDs, but it hasn't been a priority  
> > > > > > > > as we have been getting acceptable performance thus far.
> > > > > > > > 
> > > > > > > > On Friday, December 5, 2014 2:59:11 PM UTC-5, Jörg Prante wrote:
> > > > > > > > 
> > > > > > > > > Do you have a monitor tool running?
> > > > > > > > > 
> > > > > > > > > I recommend to switch it off, and optimize your indices, and then  
> > > > > > > > > update your monitoring tools.
> > > > > > > > > 
> > > > > > > > > Seems you have many segments/slow disk to get them reported in 15s.
> > > > > > > > > 
> > > > > > > > > Jörg  
> > > > > > > > > Am 05.12.2014 16:10 schrieb "Chris Moore" [cmo...@perceivant.com](mailto:cmo...@perceivant.com):
> > > > > > > > > 
> > > > > > > > > > This is running on Amazon EC2 in a VPC on dedicated instances.  
> > > > > > > > > > Physical network infrastructure is likely fine. Are there specific network  
> > > > > > > > > > issues you think we should look into?
> > > > > > > > > > 
> > > > > > > > > > When we are in a problem state, we can communicate between the  
> > > > > > > > > > nodes just fine. I can run curl requests to ES (health checks, etc) from  
> > > > > > > > > > the master node to the data nodes directly and they return as expected. So,  
> > > > > > > > > > there doesn't seem to be a socket exhaustion issue (additionally there are  
> > > > > > > > > > no kernel errors being reported).
> > > > > > > > > > 
> > > > > > > > > > It feels like there is a queue/buffer filling up somewhere that  
> > > > > > > > > > once it has availability again, things start working. But,  
> > > > > > > > > > /\_cat/thread\_pool?v doesn't show anything above 0 (although, when we are in  
> > > > > > > > > > the problem state, it doesn't return a response if run on master),  
> > > > > > > > > > nodes/hot\_threads doesn't show anything going on, etc.
> > > > > > > > > > 
> > > > > > > > > > On Thursday, December 4, 2014 4:10:37 PM UTC-5, Support Monkey  
> > > > > > > > > > wrote:
> > > > > > > > > > 
> > > > > > > > > > > I would think the network is a prime suspect then, as there is  
> > > > > > > > > > > no significant difference between 1.2.x and 1.3.x in relation to memory  
> > > > > > > > > > > usage. And you'd certainly see OOMs in node logs if it was a memory issue.
> > > > > > > > > > > 
> > > > > > > > > > > On Thursday, December 4, 2014 12:45:58 PM UTC-8, Chris Moore  
> > > > > > > > > > > wrote:
> > > > > > > > > > > 
> > > > > > > > > > > > There is nothing (literally) in the log of either data node  
> > > > > > > > > > > > after the node joined events and nothing in the master log between index  
> > > > > > > > > > > > recovery and the first error message.
> > > > > > > > > > > > 
> > > > > > > > > > > > There are 0 queries run before the errors start occurring  
> > > > > > > > > > > > (access to the nodes is blocked via a firewall, so the only communications  
> > > > > > > > > > > > are between the nodes). We have 50% of the RAM allocated to the heap on  
> > > > > > > > > > > > each node (4GB each).
> > > > > > > > > > > > 
> > > > > > > > > > > > This cluster operated without issue under 1.1.2. Did something  
> > > > > > > > > > > > change between 1.1.2 and 1.3.5 that drastically increased idle heap  
> > > > > > > > > > > > requirements?
> > > > > > > > > > > > 
> > > > > > > > > > > > On Thursday, December 4, 2014 3:29:23 PM UTC-5, Support Monkey  
> > > > > > > > > > > > wrote:
> > > > > > > > > > > > 
> > > > > > > > > > > > > Generally ReceiveTimeoutTransportException is due to network  
> > > > > > > > > > > > > disconnects or a node failing to respond due to heavy load. What does the  
> > > > > > > > > > > > > log of pYi3z5PgRh6msJX\_armz\_A show you? Perhaps it has too little heap  
> > > > > > > > > > > > > allocated. Rule of thumb is 1/2 available memory but \<= 31GB
> > > > > > > > > > > > > 
> > > > > > > > > > > > > On Wednesday, December 3, 2014 12:52:58 PM UTC-8, Jeff Keller  
> > > > > > > > > > > > > wrote:
> > > > > > > > > > > > > 
> > > > > > > > > > > > > > ES Version: 1.3.5
> > > > > > > > > > > > > > 
> > > > > > > > > > > > > > OS: Ubuntu 14.04.1 LTS
> > > > > > > > > > > > > > 
> > > > > > > > > > > > > > Machine: 2 Intel(R) Xeon(R) CPU E5-2670 v2 @ 2.50GHz, 8 GB  
> > > > > > > > > > > > > > RAM at AWS
> > > > > > > > > > > > > > 
> > > > > > > > > > > > > > master (ip-10-0-1-18), 2 data nodes (ip-10-0-1-19,  
> > > > > > > > > > > > > > ip-10-0-1-20)
> > > > > > > > > > > > > > 
> > > > > > > > > > > > > > _After upgrading from ES 1.1.2..._
> > > > > > > > > > > > > > 
> > > > > > > > > > > > > > 1. Startup ES on master
> > > > > > > > > > > > > > 2. All nodes join cluster
> > > > > > > > > > > > > > 3. [2014-12-03 20:30:54,789][INFO][gateway  
> > > > > > > > > > > > > > ] [ip-10-0-1-18.ec2.internal] recovered [157] indices into  
> > > > > > > > > > > > > > cluster\_state
> > > > > > > > > > > > > > 4. Checked health a few times
> > > > > > > > > > > > > > 
> > > > > > > > > > > > > > curl -XGET localhost:9200/\_cat/health?v
> > > > > > > > > > > > > > 
> > > > > > > > > > > > > > 1. 6 minutes after cluster recovery initiates (and 5:20 after  
> > > > > > > > > > > > > > the recovery finishes), the log on the master node (10.0.1.18) reports:
> > > > > > > > > > > > > > 
> > > > > > > > > > > > > > [2014-12-03 20:36:57,532][DEBUG][action.admin.cluster.node.stats]  
> > > > > > > > > > > > > > [ip-10-0-1-18.ec2.internal] failed to execute on node  
> > > > > > > > > > > > > > [pYi3z5PgRh6msJX\_armz\_A]
> > > > > > > > > > > > > > 
> > > > > > > > > > > > > > org.elasticsearch.transport.ReceiveTimeoutTransportException:  
> > > > > > > > > > > > > > [ip-10-0-1-20.ec2.internal][inet[/10.0.1.20:9300]][cluster/nodes/stats/n]  
> > > > > > > > > > > > > > request\_id [17564] timed out after [15001ms]
> > > > > > > > > > > > > > 
> > > > > > > > > > > > > > at org.elasticsearch.transport.TransportService$  
> > > > > > > > > > > > > > TimeoutHandler.run(TransportService.java:356)
> > > > > > > > > > > > > > 
> > > > > > > > > > > > > > at java.util.concurrent.ThreadPoolExecutor.runWorker(  
> > > > > > > > > > > > > > ThreadPoolExecutor.java:1145)
> > > > > > > > > > > > > > 
> > > > > > > > > > > > > > at java.util.concurrent.ThreadPoolExecutor$Worker.run(  
> > > > > > > > > > > > > > ThreadPoolExecutor.java:615)
> > > > > > > > > > > > > > 
> > > > > > > > > > > > > > at java.lang.Thread.run(Thread.java:745)
> > > > > > > > > > > > > > 
> > > > > > > > > > > > > > 1. Every 30 seconds or 60 seconds, the above error is  
> > > > > > > > > > > > > > reported for one or more of the data nodes
> > > > > > > > > > > > > > 
> > > > > > > > > > > > > > 2. During this time, queries (search, index, etc.) don’t  
> > > > > > > > > > > > > > return. They hang until the error state temporarily resolves itself (a  
> > > > > > > > > > > > > > varying time around 15-20 minutes) at which point the expected result is  
> > > > > > > > > > > > > > returned.
> > > > > > > > > > > > > > 
> > > > > > > > > > > > > > --  
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---

<div class="post-metadata">

### Author: ![Chris\_Moore](https://sea2.discourse-cdn.com/elastic/user_avatar/discuss.elastic.co/chris_moore/32/1036_2.png) [@Chris\_Moore](https://discuss.elastic.co/u/Chris_Moore)
#### Post date: [December 26, 2014, 3:43pm UTC](https://discuss.elastic.co/t/startup-issues-with-es-1-3-5/21068/20 "2014-12-26T15:43:29Z")

</div>

I tried your configuration suggestions, but the behavior was no different.  
I have attached the jstack output from the troubled node (master). It  
didn't appear to indicate anything of note, but I have attached it.

On Thursday, December 25, 2014 8:33:20 AM UTC-5, Gurvinder Singh wrote:

> We might have faced similar problem with ES 1.3.6. The reason we found  
> was might be due to concurrent merges. These settings have helped us  
> in fixing the issue.  
> merge:  
> policy:  
> max\_merge\_at\_once: 5  
> reclaim\_deletes\_weight: 4.0  
> segments\_per\_tier: 5  
> indices:  
> store:  
> throttle:  
> max\_bytes\_per\_sec: 40mb # as we have few SATA disk for storage  
> type: merge
> 
> you can check your hanged process by attaching jstack to it as
> 
> jstack -F
> 
> Also once you detach the jstack process become responding again and  
> joins cluster. Although it should not happen at all as if disk is the  
> limitation ES should not stop responding.
> 
> - Gurvinder  
> On 12/24/2014 08:00 PM, Mark Walkom wrote:
> 
> > Ok a few things that don't make sense to me;
> > 
> > 1. 10 indexes of only ~220Kb? Are you sure of this? 2. If so why  
> > not just one index? 3. Is baseball\_data.json the data for an entire  
> > index? If not can you clarify. 4. What java version are you on? 5.  
> > What monitoring were you using? 6. Can you delete all your data,  
> > switch monitoring on, start reindexing and then watch what happens?  
> > Marvel would be ideal for this.
> > 
> > What you are seeing is really, really weird. That is a high shard  
> > count however given the dataset is small I wouldn't think it'd  
> > cause problems (but I could be wrong).
> > 
> > On 25 December 2014 at 02:27, Chris Moore \<[cmo...@perceivant.com](mailto:cmo...@perceivant.com)  
> > \<javascript:\>  
> > \<[mailto:cmo...@perceivant.com](mailto:cmo...@perceivant.com) \<javascript:\>\>\> wrote:
> > 
> > Attached is the script we've been using to load the data and the  
> > dataset. This is the mapping and a sample document
> > 
> > { "baseball\_1" : { "mappings" : { "team" : { "properties" : { "L" :  
> > { "type" : "integer", "store" : true }, "W" : { "type" :  
> > "integer", "store" : true }, "name" : { "type" : "string", "store"  
> > : true }, "teamID" : { "type" : "string", "store" : true },  
> > "yearID" : { "type" : "string", "store" : true } } } } } }
> > 
> > {"yearID":"1871", "teamID":"PH1", "W":"21", "L":"7",  
> > "name":"Philadelphia Athletics"}
> > 
> > On Wednesday, December 24, 2014 10:22:00 AM UTC-5, Chris Moore  
> > wrote:
> > 
> > We tried many different test setups yesterday. The first setup we  
> > tried was:
> > 
> > 1 Master, 2 Data nodes 38 indices 10 shards per index 1 replica per  
> > index 760 total shards (380 primary, 760 total) Each index had  
> > 2,745 documents Each index was 218.9kb in size (according to the  
> > \_cat/indices API)
> > 
> > We realize that 10 shards per index with only 2 nodes is not a good  
> > idea, so we changed that and reran the tests.
> > 
> > We changed shards per index to the default of 5 and put 100 indices  
> > on the 2 boxes and ran into the same issue. It was the same  
> > dataset, so all other size information is correct.
> > 
> > After that, we turned off one of the data nodes, set replicas to 0  
> > and shards per index to 1. With the same dataset, I loaded ~440  
> > indices and ran into the timeout issues with the Master and Data  
> > nodes just idling.
> > 
> > This is just a test dataset that we came up with to quickly test  
> > our issues that contains no confidential information. Once we  
> > figure out the issues affecting this test dataset, we'll try things  
> > with our real dataset.
> > 
> > All of this works fine on ES 1.1.2, but not on 1.3.x (1.3.5 is our  
> > current test version). We have also tried our real setup on 1.4.1  
> > to no avail.
> > 
> > On Tuesday, December 23, 2014 5:03:30 PM UTC-5, Mark Walkom wrote:
> > 
> > Can you elaborate on your dataset and structure; how many indexes,  
> > how many shards, how big they are etc.
> > 
> > On 24 December 2014 at 07:36, Chris Moore [cmo...@perceivant.com](mailto:cmo...@perceivant.com)  
> > wrote:
> > 
> > Updating again:
> > 
> > If we reduce the number of shards per node to below ~350, the  
> > system operates fine. Once we go above that (number\_of\_indices \*  
> > number\_of\_shards\_per\_index \* number\_of\_replicas / number\_of\_nodes),  
> > we start running into the described issues.
> > 
> > On Friday, December 12, 2014 2:11:08 PM UTC-5, Chris Moore wrote:
> > 
> > Just a quick update, we duplicated our test environment to see if  
> > this issue was fixed by upgrading to 1.4.1 instead. We received the  
> > same errors under 1.4.1.
> > 
> > On Friday, December 5, 2014 4:52:05 PM UTC-5, Chris Moore wrote:
> > 
> > As a followup, I closed all the indices on the cluster. I would  
> > then open 1 index and optimize it down to 1 segment. I made it  
> > through ~60% of the indices (and probably ~45% of the data) before  
> > the same errors showed up in the master log and the same behavior  
> > resumed.
> > 
> > On Friday, December 5, 2014 3:57:12 PM UTC-5, Chris Moore wrote:
> > 
> > I replied once, but it seems to have disappeared, so if this gets  
> > double posted, I'm sorry.
> > 
> > We disabled all monitoring when we started looking into the issues  
> > to ensure there was no external load on ES. Everything we are  
> > currently seeing is just whatever activity ES generates  
> > internally.
> > 
> > My understanding regarding optimizing indices is that you shouldn't  
> > call it explicitly on indices that are regularly updating, rather  
> > you should let the background merge process handle things. As the  
> > majority of our indices regularly update, we don't explicitly call  
> > optimize on them. I can try to call it on them all and see if it  
> > helps.
> > 
> > As for disk speed, we are currently running ES on SSDs. We have it  
> > in our roadmap to change that to RAIDed SSDs, but it hasn't been a  
> > priority as we have been getting acceptable performance thus far.
> > 
> > On Friday, December 5, 2014 2:59:11 PM UTC-5, Jörg Prante wrote:
> > 
> > Do you have a monitor tool running?
> > 
> > I recommend to switch it off, and optimize your indices, and then  
> > update your monitoring tools.
> > 
> > Seems you have many segments/slow disk to get them reported in  
> > 15s.
> > 
> > Jörg
> > 
> > Am 05.12.2014 16:10 schrieb "Chris Moore" [cmo...@perceivant.com](mailto:cmo...@perceivant.com):
> > 
> > This is running on Amazon EC2 in a VPC on dedicated instances.  
> > Physical network infrastructure is likely fine. Are there specific  
> > network issues you think we should look into?
> > 
> > When we are in a problem state, we can communicate between the  
> > nodes just fine. I can run curl requests to ES (health checks, etc)  
> > from the master node to the data nodes directly and they return as  
> > expected. So, there doesn't seem to be a socket exhaustion issue  
> > (additionally there are no kernel errors being reported).
> > 
> > It feels like there is a queue/buffer filling up somewhere that  
> > once it has availability again, things start working. But,  
> > /\_cat/thread\_pool?v doesn't show anything above 0 (although, when  
> > we are in the problem state, it doesn't return a response if run on  
> > master), nodes/hot\_threads doesn't show anything going on, etc.
> > 
> > On Thursday, December 4, 2014 4:10:37 PM UTC-5, Support Monkey  
> > wrote:
> > 
> > I would think the network is a prime suspect then, as there is no  
> > significant difference between 1.2.x and 1.3.x in relation to  
> > memory usage. And you'd certainly see OOMs in node logs if it was a  
> > memory issue.
> > 
> > On Thursday, December 4, 2014 12:45:58 PM UTC-8, Chris Moore  
> > wrote:
> > 
> > There is nothing (literally) in the log of either data node after  
> > the node joined events and nothing in the master log between index  
> > recovery and the first error message.
> > 
> > There are 0 queries run before the errors start occurring (access  
> > to the nodes is blocked via a firewall, so the only communications  
> > are between the nodes). We have 50% of the RAM allocated to the  
> > heap on each node (4GB each).
> > 
> > This cluster operated without issue under 1.1.2. Did something  
> > change between 1.1.2 and 1.3.5 that drastically increased idle heap  
> > requirements?
> > 
> > On Thursday, December 4, 2014 3:29:23 PM UTC-5, Support Monkey  
> > wrote:
> > 
> > Generally \_\_ReceiveTimeoutTransp\_\_\_\_ortExcepti\_\_on is due to  
> > network disconnects or a node failing to respond due to heavy load.  
> > What does the log of pYi3z5PgRh6msJX\_armz\_A show you? Perhaps it  
> > has too little heap allocated. Rule of thumb is 1/2 available  
> > memory but \<= 31GB
> > 
> > On Wednesday, December 3, 2014 12:52:58 PM UTC-8, Jeff Keller  
> > wrote:
> > 
> > ES Version: 1.3.5
> > 
> > OS: Ubuntu 14.04.1 LTS
> > 
> > Machine: 2 Intel(R) Xeon(R) CPU E5-2670 v2 @ 2.50GHz, 8 GB RAM at  
> > AWS
> > 
> > master (ip-10-0-1-18), 2 data nodes (ip-10-0-1-19, ip-10-0-1-20)
> > 
> > - 
> > - 
> > 
> > _After upgrading from ES 1.1.2..._
> > 
> > 1. Startup ES on master 2. All nodes join cluster 3. [2014-12-03  
> > 20:30:54,789][INFO][gateway] [ip-10-0-1-18.ec2.internal]  
> > recovered [157] indices into cluster\_state 4. Checked health a few  
> > times
> > 
> > curl -XGET localhost:9200/\_cat/health?v
> > 
> > - 
> > - 
> > 
> > 1. 6 minutes after cluster recovery initiates (and 5:20 after the  
> > recovery finishes), the log on the master node (10.0.1.18)  
> > reports:
> > 
> > [2014-12-03  
> > 20:36:57,532][DEBUG][action.\_\_ad\_\_\_\_min.cluster.node.stats]  
> > [ip-10-0-1-18.ec2.internal] failed to execute on node  
> > [pYi3z5PgRh6msJX\_armz\_A]
> 
> org.elasticsearch.transport. **Re\_\_\_\_ceiveTimeoutTransportExcepti\_\_on** \_\_:
> 
> > 
> 
> [ip-10-0-1-20.ec2.internal][\_\_in\_\_\_\_et[/10.0.1.20:9300]][\_\_cluster/\_\_n\_\_odes/stats/n]
> 
> > request\_id [17564] timed out after [15001ms]
> > 
> > at
> 
> org.elasticsearch.transport.\_\_Tr\_\_\_\_ansportService$\_\_TimeoutHandler.\_\_\_\_run(\_\_TransportService.java:356)
> 
> > at
> 
> java.util.concurrent.\_\_ThreadPoo\_\_\_\_lExecutor.runWorker(\_\_ThreadPool\_\_\_\_Executor.java:1145)
> 
> > at
> 
> java.util.concurrent.\_\_ThreadPoo\_\_\_\_lExecutor$Worker.run(\_\_ThreadPoo\_\_\_\_lExecutor.java:615)
> 
> > at java.lang.Thread.run(Thread.\_\_ja\_\_\_\_va:745)
> > 
> > 1. Every 30 seconds or 60 seconds, the above error is reported for  
> > one or more of the data nodes
> > 
> > 2. During this time, queries (search, index, etc.) don’t return.  
> > They hang until the error state temporarily resolves itself (a  
> > varying time around 15-20 minutes) at which point the expected  
> > result is returned.
> > 
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> [https://groups.google.com/d/\_\_ms\_\_gid/elasticsearch/99a45801-\_\_2b9\_\_5-4a21-a6bf-ca724f41bbc2%\_\_40goo\_\_glegroups.com](https://groups.google.com/d/ __ms__ gid/elasticsearch/99a45801- __2b9__ 5-4a21-a6bf-ca724f41bbc2%25 __40goo__ glegroups.com)
> 
> > 
> 
> \<  
> [https://groups.google.com/d/msgid/elasticsearch/99a45801-2b95-4a21-a6bf-ca724f41bbc2%40googlegroups.com?utm\_medium=email&utm\_source=footer](https://groups.google.com/d/msgid/elasticsearch/99a45801-2b95-4a21-a6bf-ca724f41bbc2%40googlegroups.com?utm_medium=email&utm_source=footer)\>.
> 
> > For more options, visit [https://groups.google.com/d/\_\_op\_\_tout](https://groups.google.com/d/ __op__ tout)  
> > [https://groups.google.com/d/optout](https://groups.google.com/d/optout).
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> [https://groups.google.com/d/\_\_msgid/elasticsearch/1ad26e40-\_\_a1bf-4302-aba4-551c7d862db1%\_\_40googlegroups.com](https://groups.google.com/d/ __msgid/elasticsearch/1ad26e40-__ a1bf-4302-aba4-551c7d862db1%25__40googlegroups.com)
> 
> > 
> 
> \<  
> [https://groups.google.com/d/msgid/elasticsearch/1ad26e40-a1bf-4302-aba4-551c7d862db1%40googlegroups.com?utm\_medium=email&utm\_source=footer](https://groups.google.com/d/msgid/elasticsearch/1ad26e40-a1bf-4302-aba4-551c7d862db1%40googlegroups.com?utm_medium=email&utm_source=footer)\>.
> 
> > For more options, visit [https://groups.google.com/d/\_\_optout](https://groups.google.com/d/__optout)  
> > [https://groups.google.com/d/optout](https://groups.google.com/d/optout).
> > 
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> [https://groups.google.com/d/msgid/elasticsearch/71676baf-b85b-4ebe-8a34-14483162c685%40googlegroups.com](https://groups.google.com/d/msgid/elasticsearch/71676baf-b85b-4ebe-8a34-14483162c685%40googlegroups.com)
> 
> > 
> 
> \<  
> [https://groups.google.com/d/msgid/elasticsearch/71676baf-b85b-4ebe-8a34-14483162c685%40googlegroups.com?utm\_medium=email&utm\_source=footer](https://groups.google.com/d/msgid/elasticsearch/71676baf-b85b-4ebe-8a34-14483162c685%40googlegroups.com?utm_medium=email&utm_source=footer)\>.
> 
> > For more options, visit [https://groups.google.com/d/optout](https://groups.google.com/d/optout).
> > 
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> > view this  
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> 
> [https://groups.google.com/d/msgid/elasticsearch/CAEYi1X\_SPWg%3D9ky9iowVdJjnnsVB\_kupCAuVfcyUjr%2BXYhZ6Ng%40mail.gmail.com](https://groups.google.com/d/msgid/elasticsearch/CAEYi1X_SPWg%3D9ky9iowVdJjnnsVB_kupCAuVfcyUjr%2BXYhZ6Ng%40mail.gmail.com)
> 
> > 
> 
> \<  
> [https://groups.google.com/d/msgid/elasticsearch/CAEYi1X\_SPWg%3D9ky9iowVdJjnnsVB\_kupCAuVfcyUjr%2BXYhZ6Ng%40mail.gmail.com?utm\_medium=email&utm\_source=footer](https://groups.google.com/d/msgid/elasticsearch/CAEYi1X_SPWg%3D9ky9iowVdJjnnsVB_kupCAuVfcyUjr%2BXYhZ6Ng%40mail.gmail.com?utm_medium=email&utm_source=footer)\>.
> 
> > For more options, visit [https://groups.google.com/d/optout](https://groups.google.com/d/optout).

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