Elasticsearch memory usage

Hello Amit, I didn't see any big difference between the 1.7 update 25 and
1.7 update 51 so I went back to the newest version, as it wasn't my issue,
maybe you should stay with the latest version unless you suspect it is
causing you issues.

Jorg, I only use bigdesk plugin, I installed it after the issues started. I
don't use ES caches (I don't control them at least, never touched anything
to do with them), and I use 1 or 2 filters per query never more, no
wildcards no facets no sorting. As for the heap profile, I have 2 hprof
files, but I don't really understand them.


Sincerely:
Hicham Mallah
Software Developer
mallah.hicham@gmail.com
00961 700 49 600

On Mon, Mar 17, 2014 at 10:18 AM, Amit Soni amitsoni29@gmail.com wrote:

Hello team - I see the recommendation here in this thread to use JDK 1.7
update 25. However in the websitehttp://www.elasticsearch.org/guide/en/elasticsearch/hadoop/current/requirements.htmlupdate 51 is recommended.

Can you advice as to which version should be used?

-Amit.

On Sat, Mar 15, 2014 at 3:38 AM, joergprante@gmail.com <
joergprante@gmail.com> wrote:

We should encircle possible causes more closely.

Do you have more incidents in the ES logs that are unusual?

What about memory leaks? Do you use plugins?

How do you use ES caches/filters? Can you see something after making a
heap memory profile?

Jörg

On Fri, Mar 14, 2014 at 3:32 PM, Hicham Mallah mallah.hicham@gmail.comwrote:

Downgraded java, that didn't solve my issue,

java version "1.7.0_25"
Java(TM) SE Runtime Environment (build 1.7.0_25-b13)
Java HotSpot(TM) 64-Bit Server VM (build 23.25-b01, mixed mode)

Tried to keep it up without restarting it to see what will happen, and
to see if there will be and .hprof file to check. It went up till 71%
memory, then the whole server was very VERY slow and wasn't responding
anymore, so I had to restart the whole server...

I am out of ideas!


Sincerely:
Hicham Mallah
Software Developer
mallah.hicham@gmail.com
00961 700 49 600

On Fri, Mar 14, 2014 at 10:47 AM, Hicham Mallah <mallah.hicham@gmail.com

wrote:

Hello again,

Sorry for the late reply, you're right I don't think it is the OOM
killer, I'll be downgrading my JVM to see what will happen.

Will let you know how it goes.

Thanks.


Sincerely:
Hicham Mallah
Software Developer
mallah.hicham@gmail.com
00961 700 49 600

On Fri, Mar 14, 2014 at 2:10 AM, Zachary Tong zacharyjtong@gmail.comwrote:

Also, can you confirm that it was actually the OOM killer nuking the
process? That will help us to determine if it was OOM killer or a JVM
crash.

OOM killer will log something through dmesg/syslog/etc, showing the
OOM killer killing 'java' and the pid (and some other info I think)

On Thursday, March 13, 2014 7:54:55 PM UTC-4, Zachary Tong wrote:

Yeah, your heap looks fine. I'm inclined to believe that the JVM
itself is crashing, as you suggest. There is at least one known fatal bug
in recent versions of the JVM which directly impacts Lucene/Elasticsearch:

Loading...
[LUCENE-5212] java 7u40 causes sigsegv and corrupt term vectors - ASF JIRA

The currently recommended version for ES is Java 1.7.0_u25. Try
downgrading to that and see if it helps. Sorry, I should have noticed your
JVM version earlier and made the suggestion...totally slipped by me!

-Zach

On Thursday, March 13, 2014 4:41:25 PM UTC-4, Hicham Mallah wrote:

Added index.codec.bloom.load: false to the elasticsearch.yml,
doesn't seem to have changed anything.

It is at 63% after 2 hours and a half up time.

Watching stuff on Bigdesk everything seems to be normal:

Memory:
Committed: 7.8gb
Used: 4.5gb

The used is going up and down normally, so heap is being cleaned no?

So it is working as expected, can't find anything, could it be
Oracle Java, should I try using OpenJDK at the place?!

Really thankful for you guys trying to help me


Sincerely:
Hicham Mallah
Software Developer
mallah...@gmail.com
00961 700 49 600

On Thu, Mar 13, 2014 at 7:23 PM, joerg...@gmail.com <
joerg...@gmail.com> wrote:

There might be massive bloom cache loading for the Lucene codec. My
suggestion is to disable it. Try start ES nodes with

index:
codec:
bloom:
load: false

Bloom cache does not seem to fit perfectly into the diagnostics as
you described, that is just from the exception you sent.

Jörg

On Thu, Mar 13, 2014 at 6:01 PM, Hicham Mallah <mallah...@gmail.com

wrote:

If I start elasticsearch from the bin folder not using the
wrapper, I get these exceptions after about 2 mins:

Exception in thread "elasticsearch[Adam X][generic][T#5]"
java.lang.OutOfMemoryError: Java heap space
at org.apache.lucene.util.fst.
BytesStore.(BytesStore.java:62)
at org.apache.lucene.util.fst.FST.(FST.java:366)
at org.apache.lucene.util.fst.FST.(FST.java:301)
at org.apache.lucene.codecs.BlockTreeTermsReader$
FieldReader.(BlockTreeTermsReader.java:481)
at org.apache.lucene.codecs.BlockTreeTermsReader.(
BlockTreeTermsReader.java:175)
at org.apache.lucene.codecs.lucene41.
Lucene41PostingsFormat.fieldsProducer(Lucene41PostingsFormat.java:
437)
at org.elasticsearch.index.codec.postingsformat.
BloomFilterPostingsFormat$BloomFilteredFieldsProducer.(
BloomFilterPostingsFormat.java:131)
at org.elasticsearch.index.codec.postingsformat.
BloomFilterPostingsFormat.fieldsProducer(
BloomFilterPostingsFormat.java:102)
at org.elasticsearch.index.codec.postingsformat.
Elasticsearch090PostingsFormat.fieldsProducer(
Elasticsearch090PostingsFormat.java:79)
at org.apache.lucene.codecs.perfield.
PerFieldPostingsFormat$FieldsReader.(
PerFieldPostingsFormat.java:195)
at org.apache.lucene.codecs.perfield.
PerFieldPostingsFormat.fieldsProducer(PerFieldPostingsFormat.java:
244)
at org.apache.lucene.index.SegmentCoreReaders.(
SegmentCoreReaders.java:115)
at org.apache.lucene.index.SegmentReader.(
SegmentReader.java:95)
at org.apache.lucene.index.ReadersAndUpdates.getReader(
ReadersAndUpdates.java:141)
at org.apache.lucene.index.ReadersAndUpdates.
getReadOnlyClone(ReadersAndUpdates.java:235)
at org.apache.lucene.index.StandardDirectoryReader.open(
StandardDirectoryReader.java:100)
at org.apache.lucene.index.IndexWriter.getReader(
IndexWriter.java:382)
at org.apache.lucene.index.DirectoryReader.open(
DirectoryReader.java:111)
at org.apache.lucene.search.XSearcherManager.(
XSearcherManager.java:94)
at org.elasticsearch.index.engine.internal.InternalEngine.
buildSearchManager(InternalEngine.java:1462)
at org.elasticsearch.index.engine.internal.
InternalEngine.start(InternalEngine.java:279)
at org.elasticsearch.index.shard.
service.InternalIndexShard.performRecoveryPrepareForTrans
log(InternalIndexShard.java:706)
at org.elasticsearch.index.gateway.local.
LocalIndexShardGateway.recover(LocalIndexShardGateway.java:201)
at org.elasticsearch.index.gateway.
IndexShardGatewayService$1.run(IndexShardGatewayService.java:189)
at java.util.concurrent.ThreadPoolExecutor.runWorker(
ThreadPoolExecutor.java:1145)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(
ThreadPoolExecutor.java:615)
at java.lang.Thread.run(Thread.java:744)


Sincerely:
Hicham Mallah
Software Developer
mallah...@gmail.com
00961 700 49 600

On Thu, Mar 13, 2014 at 6:47 PM, Hicham Mallah <
mallah...@gmail.com> wrote:

Hello again,

setting bootstrap.mlockall to true seems to have made memory
usage slower, so like at the place of elasticsearch being killed after ~2
hours it will be killed after ~3 hours. What I see weird, is why is the
process releasing memory one back to the OS but not doing it again? And why
is it not abiding by this DIRECT_SIZE setting too.

Thanks for the help


Sincerely:
Hicham Mallah
Software Developer
mallah...@gmail.com
00961 700 49 600

On Thu, Mar 13, 2014 at 4:45 PM, Hicham Mallah <
mallah...@gmail.com> wrote:

Jorg the issue is after the JVM giving back memory to the OS, it
starts going up again, and never gives back memory till its killed,
currently memory usage is up to 66% and still going up. HEAP size is
currently set to 8gb which is 1/4 the amount of memory I have. I tried it
at 16, 12, now at 8 but still facing the issue, lowering it more will cause
undesirable speed on the website. I'll try mlockall now, and see what
happens, but looking at Bigdesk on 18.6mb of swap is used.

I'll let you know what happens with mlockall on.


Sincerely:
Hicham Mallah
Software Developer
mallah...@gmail.com
00961 700 49 600

On Thu, Mar 13, 2014 at 4:38 PM, joerg...@gmail.com <
joerg...@gmail.com> wrote:

From the gist, it alls looks very well. There is no reason for
the OOM killer to kick in. Your system is idle and there is much room for
everything.

Just to quote you:

"What's happening is that elasticsearch starts using memory
till 50% then it goes back down to about 30% gradually then starts to go up
again gradually and never goes back down."

What you see is ES JVM process giving back memory to the OS,
which is no reason to worry about in regard to process killing. It is just
undesirable behaviour, and it is all a matter of correct configuration of
the heap size.

You should check if your ES starts from service wrapper or from
the bin folder, and adjust the parameters for heap size. I recommend only
to use ES_HEAP_SIZE parameter. Set this to max. 50% RAM (as you did). But
do not use different values at other places, or use MIN or MAX.
ES_HEAP_SIZE is doing the right thing for you.

With bootstrap mlockall, you can lock the ES JVM process into
main memory, this helps much regarding to performance and fast GC, as it
reduces swapping. You can test if this setting will invoke the OOM killer
too, as it increases the pressure on main memory (but, as said, there is
plenty room in your machine).

Jörg

On Thu, Mar 13, 2014 at 3:13 PM, Hicham Mallah <
mallah...@gmail.com> wrote:

Hello Zachary,

Thanks for your reply and the pointer to the settings.

Here are the output of the commands you requested:

curl -XGET "http://localhost:9200/_nodes/stats"
curl -XGET "http://localhost:9200/_nodes"

Elastic Search stats · GitHub


Sincerely:
Hicham Mallah
Software Developer
mallah...@gmail.com
00961 700 49 600

On Thu, Mar 13, 2014 at 3:57 PM, Zachary Tong <
zachar...@gmail.com> wrote:

Can you gist up the output of these two commands?

curl -XGET "http://localhost:9200/_nodes/stats"

curl -XGET "http://localhost:9200/_nodes"

Those are my first-stop APIs for determining where memory is
being allocated.

By the way, these settings don't do anything anymore (they
were depreciated and removed):

index.cache.field.type: soft
index.term_index_interval: 256
index.term_index_divisor: 5

index.cache.field.max_size: 10000

max_size was replaced with indices.fielddata.cache.size
and accepts a value like "10gb" or "30%"

And this is just bad settings in general (causes a lot of GC
thrashing):

index.cache.field.expire: 10m

On Thursday, March 13, 2014 8:42:54 AM UTC-4, Hicham Mallah
wrote:

Now the process went back down to 25% usage, from now on it
will go back up, and won't stop going up.

Sorry for spamming


Sincerely:
Hicham Mallah
Software Developer
mallah...@gmail.com
00961 700 49 600

On Thu, Mar 13, 2014 at 2:37 PM, Hicham Mallah <
mallah...@gmail.com> wrote:

Here's the top after ~1 hour running:

PID USER PR NI VIRT RES SHR S %CPU %MEM TIME+
COMMAND
780 root 20 0 317g 14g 7.1g S 492.9 46.4 157:50.89
java


Sincerely:
Hicham Mallah
Software Developer
mallah...@gmail.com
00961 700 49 600

On Thu, Mar 13, 2014 at 2:36 PM, Hicham Mallah <
mallah...@gmail.com> wrote:

Hello Jörg

Thanks for the reply, our swap size is 2g. I don't know at
what % the process is being killed as the first time it happened I wasn't
around, and then I never let that happen again as the website is online.
After 2 hours of running the memory in sure is going up to 60%, I am
restarting each time when it arrives at 70% (2h/2h30) when I am around and
testing config changes. When I am not around, I am setting a cron job to
restart the server every 2 hours. Server has apache and mysql running on it
too.


Sincerely:
Hicham Mallah
Software Developer
mallah...@gmail.com
00961 700 49 600

On Thu, Mar 13, 2014 at 2:22 PM, joerg...@gmail.com <
joerg...@gmail.com> wrote:

You wrote, the OOM killer killed the ES process. With 32g
(and the swap size), the process must be very big. much more than you
configured. Can you give more info about the live size of the process,
after ~2 hours? Are there more application processes on the box?

Jörg

On Thu, Mar 13, 2014 at 12:46 PM, Hicham Mallah <
mallah...@gmail.com> wrote:

Hello,

I have been using elasticsearch on a ubuntu server for a
year now, and everything was going great. I had an index of 150,000,000
entries of domain names, running small queries on it, just filtering by 1
term no sorting no wildcard nothing. Now we moved servers, I have now a
CentOS 6 server, 32GB ram and running elasticserach but now we have 2
indices, of about 150 million entries each 32 shards, still running the
same queries on them nothing changed in the queries. But since we went
online with the new server, I have to restart elasticsearch every 2 hours
before OOM killer kills it.

What's happening is that elasticsearch starts using
memory till 50% then it goes back down to about 30% gradually then starts
to go up again gradually and never goes back down.

I have tried all the solutions I found on the net, I am
a developer not a server admin.

I have these setting in my service wrapper
configuration

set.default.ES_HOME=/home/elasticsearch
set.default.ES_HEAP_SIZE=8192
set.default.MAX_OPEN_FILES=65535
set.default.MAX_LOCKED_MEMORY=10240
set.default.CONF_DIR=/home/elasticsearch/conf
set.default.WORK_DIR=/home/elasticsearch/tmp
set.default.DIRECT_SIZE=4g

Java Additional Parameters

wrapper.java.additional.1=-Delasticsearch-service
wrapper.java.additional.2=-Des.path.home=%ES_HOME%
wrapper.java.additional.3=-Xss256k
wrapper.java.additional.4=-XX:+UseParNewGC
wrapper.java.additional.5=-XX:+UseConcMarkSweepGC
wrapper.java.additional.6=-XX:
CMSInitiatingOccupancyFraction=75
wrapper.java.additional.7=-XX:+UseCMSInitiatingOccupancyOnly

wrapper.java.additional.8=-XX:+HeapDumpOnOutOfMemoryError

wrapper.java.additional.9=-Djava.awt.headless=true
wrapper.java.additional.10=-XX:MinHeapFreeRatio=40
wrapper.java.additional.11=-XX:MaxHeapFreeRatio=70
wrapper.java.additional.12=-XX:
CMSInitiatingOccupancyFraction=75
wrapper.java.additional.13=-XX:+
UseCMSInitiatingOccupancyOnly
wrapper.java.additional.15=-XX:MaxDirectMemorySize=4g

Initial Java Heap Size (in MB)

wrapper.java.initmemory=%ES_HEAP_SIZE%

And these in elasticsearch.yml
ES_MIN_MEM: 5g
ES_MAX_MEM: 5g
#index.store.type=mmapfs
index.cache.field.type: soft
index.cache.field.max_size: 10000
index.cache.field.expire: 10m
index.term_index_interval: 256
index.term_index_divisor: 5

*java version: *
java version "1.7.0_51"
Java(TM) SE Runtime Environment (build 1.7.0_51-b13)
Java HotSpot(TM) 64-Bit Server VM (build 24.51-b03,
mixed mode)

Elasticsearch version
"version" : {
"number" : "1.0.0",
"build_hash" : "a46900e9c72c0a623d71b54016357d5f94c8ea32",

"build_timestamp" : "2014-02-12T16:18:34Z",
"build_snapshot" : false,
"lucene_version" : "4.6"

}

Using elastica PHP

I have tried playing with values up and down to try to
make it work, but nothing is changing.

Please any help would be highly appreciated.

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Hicham,

bigdesk does not display all ES caches but it could (it is just one issue
ticket away, feel free to open
onehttps://github.com/lukas-vlcek/bigdesk/issues).
Can you remind me what ES version are you using?

Regards,
Lukas

On Mon, Mar 17, 2014 at 10:38 AM, Hicham Mallah mallah.hicham@gmail.comwrote:

Hello Amit, I didn't see any big difference between the 1.7 update 25 and
1.7 update 51 so I went back to the newest version, as it wasn't my issue,
maybe you should stay with the latest version unless you suspect it is
causing you issues.

Jorg, I only use bigdesk plugin, I installed it after the issues started.
I don't use ES caches (I don't control them at least, never touched
anything to do with them), and I use 1 or 2 filters per query never more,
no wildcards no facets no sorting. As for the heap profile, I have 2 hprof
files, but I don't really understand them.


Sincerely:
Hicham Mallah
Software Developer
mallah.hicham@gmail.com
00961 700 49 600

On Mon, Mar 17, 2014 at 10:18 AM, Amit Soni amitsoni29@gmail.com wrote:

Hello team - I see the recommendation here in this thread to use JDK 1.7
update 25. However in the websitehttp://www.elasticsearch.org/guide/en/elasticsearch/hadoop/current/requirements.htmlupdate 51 is recommended.

Can you advice as to which version should be used?

-Amit.

On Sat, Mar 15, 2014 at 3:38 AM, joergprante@gmail.com <
joergprante@gmail.com> wrote:

We should encircle possible causes more closely.

Do you have more incidents in the ES logs that are unusual?

What about memory leaks? Do you use plugins?

How do you use ES caches/filters? Can you see something after making a
heap memory profile?

Jörg

On Fri, Mar 14, 2014 at 3:32 PM, Hicham Mallah mallah.hicham@gmail.comwrote:

Downgraded java, that didn't solve my issue,

java version "1.7.0_25"
Java(TM) SE Runtime Environment (build 1.7.0_25-b13)
Java HotSpot(TM) 64-Bit Server VM (build 23.25-b01, mixed mode)

Tried to keep it up without restarting it to see what will happen, and
to see if there will be and .hprof file to check. It went up till 71%
memory, then the whole server was very VERY slow and wasn't responding
anymore, so I had to restart the whole server...

I am out of ideas!


Sincerely:
Hicham Mallah
Software Developer
mallah.hicham@gmail.com
00961 700 49 600

On Fri, Mar 14, 2014 at 10:47 AM, Hicham Mallah <
mallah.hicham@gmail.com> wrote:

Hello again,

Sorry for the late reply, you're right I don't think it is the OOM
killer, I'll be downgrading my JVM to see what will happen.

Will let you know how it goes.

Thanks.


Sincerely:
Hicham Mallah
Software Developer
mallah.hicham@gmail.com
00961 700 49 600

On Fri, Mar 14, 2014 at 2:10 AM, Zachary Tong zacharyjtong@gmail.comwrote:

Also, can you confirm that it was actually the OOM killer nuking the
process? That will help us to determine if it was OOM killer or a JVM
crash.

OOM killer will log something through dmesg/syslog/etc, showing the
OOM killer killing 'java' and the pid (and some other info I think)

On Thursday, March 13, 2014 7:54:55 PM UTC-4, Zachary Tong wrote:

Yeah, your heap looks fine. I'm inclined to believe that the JVM
itself is crashing, as you suggest. There is at least one known fatal bug
in recent versions of the JVM which directly impacts Lucene/Elasticsearch:

Loading...
[LUCENE-5212] java 7u40 causes sigsegv and corrupt term vectors - ASF JIRA

The currently recommended version for ES is Java 1.7.0_u25. Try
downgrading to that and see if it helps. Sorry, I should have noticed your
JVM version earlier and made the suggestion...totally slipped by me!

-Zach

On Thursday, March 13, 2014 4:41:25 PM UTC-4, Hicham Mallah wrote:

Added index.codec.bloom.load: false to the elasticsearch.yml,
doesn't seem to have changed anything.

It is at 63% after 2 hours and a half up time.

Watching stuff on Bigdesk everything seems to be normal:

Memory:
Committed: 7.8gb
Used: 4.5gb

The used is going up and down normally, so heap is being cleaned no?

So it is working as expected, can't find anything, could it be
Oracle Java, should I try using OpenJDK at the place?!

Really thankful for you guys trying to help me


Sincerely:
Hicham Mallah
Software Developer
mallah...@gmail.com
00961 700 49 600

On Thu, Mar 13, 2014 at 7:23 PM, joerg...@gmail.com <
joerg...@gmail.com> wrote:

There might be massive bloom cache loading for the Lucene codec.
My suggestion is to disable it. Try start ES nodes with

index:
codec:
bloom:
load: false

Bloom cache does not seem to fit perfectly into the diagnostics as
you described, that is just from the exception you sent.

Jörg

On Thu, Mar 13, 2014 at 6:01 PM, Hicham Mallah <
mallah...@gmail.com> wrote:

If I start elasticsearch from the bin folder not using the
wrapper, I get these exceptions after about 2 mins:

Exception in thread "elasticsearch[Adam X][generic][T#5]"
java.lang.OutOfMemoryError: Java heap space
at org.apache.lucene.util.fst.
BytesStore.(BytesStore.java:62)
at org.apache.lucene.util.fst.FST.(FST.java:366)
at org.apache.lucene.util.fst.FST.(FST.java:301)
at org.apache.lucene.codecs.BlockTreeTermsReader$
FieldReader.(BlockTreeTermsReader.java:481)
at org.apache.lucene.codecs.BlockTreeTermsReader.(
BlockTreeTermsReader.java:175)
at org.apache.lucene.codecs.lucene41.
Lucene41PostingsFormat.fieldsProducer(
Lucene41PostingsFormat.java:437)
at org.elasticsearch.index.codec.postingsformat.
BloomFilterPostingsFormat$BloomFilteredFieldsProducer.(
BloomFilterPostingsFormat.java:131)
at org.elasticsearch.index.codec.postingsformat.
BloomFilterPostingsFormat.fieldsProducer(
BloomFilterPostingsFormat.java:102)
at org.elasticsearch.index.codec.postingsformat.
Elasticsearch090PostingsFormat.fieldsProducer(
Elasticsearch090PostingsFormat.java:79)
at org.apache.lucene.codecs.perfield.
PerFieldPostingsFormat$FieldsReader.(
PerFieldPostingsFormat.java:195)
at org.apache.lucene.codecs.perfield.
PerFieldPostingsFormat.fieldsProducer(
PerFieldPostingsFormat.java:244)
at org.apache.lucene.index.SegmentCoreReaders.(
SegmentCoreReaders.java:115)
at org.apache.lucene.index.SegmentReader.(
SegmentReader.java:95)
at org.apache.lucene.index.ReadersAndUpdates.getReader(
ReadersAndUpdates.java:141)
at org.apache.lucene.index.ReadersAndUpdates.
getReadOnlyClone(ReadersAndUpdates.java:235)
at org.apache.lucene.index.StandardDirectoryReader.open(
StandardDirectoryReader.java:100)
at org.apache.lucene.index.IndexWriter.getReader(
IndexWriter.java:382)
at org.apache.lucene.index.DirectoryReader.open(
DirectoryReader.java:111)
at org.apache.lucene.search.XSearcherManager.(
XSearcherManager.java:94)
at org.elasticsearch.index.engine.internal.
InternalEngine.buildSearchManager(InternalEngine.java:1462)
at org.elasticsearch.index.engine.internal.
InternalEngine.start(InternalEngine.java:279)
at org.elasticsearch.index.shard.
service.InternalIndexShard.performRecoveryPrepareForTrans
log(InternalIndexShard.java:706)
at org.elasticsearch.index.gateway.local.
LocalIndexShardGateway.recover(LocalIndexShardGateway.java:201)
at org.elasticsearch.index.gateway.
IndexShardGatewayService$1.run(IndexShardGatewayService.java:189)
at java.util.concurrent.ThreadPoolExecutor.runWorker(
ThreadPoolExecutor.java:1145)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(
ThreadPoolExecutor.java:615)
at java.lang.Thread.run(Thread.java:744)


Sincerely:
Hicham Mallah
Software Developer
mallah...@gmail.com
00961 700 49 600

On Thu, Mar 13, 2014 at 6:47 PM, Hicham Mallah <
mallah...@gmail.com> wrote:

Hello again,

setting bootstrap.mlockall to true seems to have made memory
usage slower, so like at the place of elasticsearch being killed after ~2
hours it will be killed after ~3 hours. What I see weird, is why is the
process releasing memory one back to the OS but not doing it again? And why
is it not abiding by this DIRECT_SIZE setting too.

Thanks for the help


Sincerely:
Hicham Mallah
Software Developer
mallah...@gmail.com
00961 700 49 600

On Thu, Mar 13, 2014 at 4:45 PM, Hicham Mallah <
mallah...@gmail.com> wrote:

Jorg the issue is after the JVM giving back memory to the OS,
it starts going up again, and never gives back memory till its killed,
currently memory usage is up to 66% and still going up. HEAP size is
currently set to 8gb which is 1/4 the amount of memory I have. I tried it
at 16, 12, now at 8 but still facing the issue, lowering it more will cause
undesirable speed on the website. I'll try mlockall now, and see what
happens, but looking at Bigdesk on 18.6mb of swap is used.

I'll let you know what happens with mlockall on.


Sincerely:
Hicham Mallah
Software Developer
mallah...@gmail.com
00961 700 49 600

On Thu, Mar 13, 2014 at 4:38 PM, joerg...@gmail.com <
joerg...@gmail.com> wrote:

From the gist, it alls looks very well. There is no reason for
the OOM killer to kick in. Your system is idle and there is much room for
everything.

Just to quote you:

"What's happening is that elasticsearch starts using memory
till 50% then it goes back down to about 30% gradually then starts to go up
again gradually and never goes back down."

What you see is ES JVM process giving back memory to the OS,
which is no reason to worry about in regard to process killing. It is just
undesirable behaviour, and it is all a matter of correct configuration of
the heap size.

You should check if your ES starts from service wrapper or
from the bin folder, and adjust the parameters for heap size. I recommend
only to use ES_HEAP_SIZE parameter. Set this to max. 50% RAM (as you did).
But do not use different values at other places, or use MIN or MAX.
ES_HEAP_SIZE is doing the right thing for you.

With bootstrap mlockall, you can lock the ES JVM process into
main memory, this helps much regarding to performance and fast GC, as it
reduces swapping. You can test if this setting will invoke the OOM killer
too, as it increases the pressure on main memory (but, as said, there is
plenty room in your machine).

Jörg

On Thu, Mar 13, 2014 at 3:13 PM, Hicham Mallah <
mallah...@gmail.com> wrote:

Hello Zachary,

Thanks for your reply and the pointer to the settings.

Here are the output of the commands you requested:

curl -XGET "http://localhost:9200/_nodes/stats"
curl -XGET "http://localhost:9200/_nodes"

Elastic Search stats · GitHub


Sincerely:
Hicham Mallah
Software Developer
mallah...@gmail.com
00961 700 49 600

On Thu, Mar 13, 2014 at 3:57 PM, Zachary Tong <
zachar...@gmail.com> wrote:

Can you gist up the output of these two commands?

curl -XGET "http://localhost:9200/_nodes/stats"

curl -XGET "http://localhost:9200/_nodes"

Those are my first-stop APIs for determining where memory is
being allocated.

By the way, these settings don't do anything anymore (they
were depreciated and removed):

index.cache.field.type: soft
index.term_index_interval: 256
index.term_index_divisor: 5

index.cache.field.max_size: 10000

max_size was replaced with indices.fielddata.cache.size
and accepts a value like "10gb" or "30%"

And this is just bad settings in general (causes a lot of GC
thrashing):

index.cache.field.expire: 10m

On Thursday, March 13, 2014 8:42:54 AM UTC-4, Hicham Mallah
wrote:

Now the process went back down to 25% usage, from now on it
will go back up, and won't stop going up.

Sorry for spamming


Sincerely:
Hicham Mallah
Software Developer
mallah...@gmail.com
00961 700 49 600

On Thu, Mar 13, 2014 at 2:37 PM, Hicham Mallah <
mallah...@gmail.com> wrote:

Here's the top after ~1 hour running:

PID USER PR NI VIRT RES SHR S %CPU %MEM
TIME+ COMMAND
780 root 20 0 317g 14g 7.1g S 492.9 46.4
157:50.89 java


Sincerely:
Hicham Mallah
Software Developer
mallah...@gmail.com
00961 700 49 600

On Thu, Mar 13, 2014 at 2:36 PM, Hicham Mallah <
mallah...@gmail.com> wrote:

Hello Jörg

Thanks for the reply, our swap size is 2g. I don't know
at what % the process is being killed as the first time it happened I
wasn't around, and then I never let that happen again as the website is
online. After 2 hours of running the memory in sure is going up to 60%, I
am restarting each time when it arrives at 70% (2h/2h30) when I am around
and testing config changes. When I am not around, I am setting a cron job
to restart the server every 2 hours. Server has apache and mysql running on
it too.


Sincerely:
Hicham Mallah
Software Developer
mallah...@gmail.com
00961 700 49 600

On Thu, Mar 13, 2014 at 2:22 PM, joerg...@gmail.com <
joerg...@gmail.com> wrote:

You wrote, the OOM killer killed the ES process. With
32g (and the swap size), the process must be very big. much more than you
configured. Can you give more info about the live size of the process,
after ~2 hours? Are there more application processes on the box?

Jörg

On Thu, Mar 13, 2014 at 12:46 PM, Hicham Mallah <
mallah...@gmail.com> wrote:

Hello,

I have been using elasticsearch on a ubuntu server for
a year now, and everything was going great. I had an index of 150,000,000
entries of domain names, running small queries on it, just filtering by 1
term no sorting no wildcard nothing. Now we moved servers, I have now a
CentOS 6 server, 32GB ram and running elasticserach but now we have 2
indices, of about 150 million entries each 32 shards, still running the
same queries on them nothing changed in the queries. But since we went
online with the new server, I have to restart elasticsearch every 2 hours
before OOM killer kills it.

What's happening is that elasticsearch starts using
memory till 50% then it goes back down to about 30% gradually then starts
to go up again gradually and never goes back down.

I have tried all the solutions I found on the net, I am
a developer not a server admin.

I have these setting in my service wrapper
configuration

set.default.ES_HOME=/home/elasticsearch
set.default.ES_HEAP_SIZE=8192
set.default.MAX_OPEN_FILES=65535
set.default.MAX_LOCKED_MEMORY=10240
set.default.CONF_DIR=/home/elasticsearch/conf
set.default.WORK_DIR=/home/elasticsearch/tmp
set.default.DIRECT_SIZE=4g

Java Additional Parameters

wrapper.java.additional.1=-Delasticsearch-service
wrapper.java.additional.2=-Des.path.home=%ES_HOME%
wrapper.java.additional.3=-Xss256k
wrapper.java.additional.4=-XX:+UseParNewGC
wrapper.java.additional.5=-XX:+UseConcMarkSweepGC
wrapper.java.additional.6=-XX:
CMSInitiatingOccupancyFraction=75
wrapper.java.additional.7=-XX:+UseCMSInitiatingOccupancyOnly

wrapper.java.additional.8=-XX:+HeapDumpOnOutOfMemoryError

wrapper.java.additional.9=-Djava.awt.headless=true
wrapper.java.additional.10=-XX:MinHeapFreeRatio=40
wrapper.java.additional.11=-XX:MaxHeapFreeRatio=70
wrapper.java.additional.12=-XX:
CMSInitiatingOccupancyFraction=75
wrapper.java.additional.13=-XX:+
UseCMSInitiatingOccupancyOnly
wrapper.java.additional.15=-XX:MaxDirectMemorySize=4g

Initial Java Heap Size (in MB)

wrapper.java.initmemory=%ES_HEAP_SIZE%

And these in elasticsearch.yml
ES_MIN_MEM: 5g
ES_MAX_MEM: 5g
#index.store.type=mmapfs
index.cache.field.type: soft
index.cache.field.max_size: 10000
index.cache.field.expire: 10m
index.term_index_interval: 256
index.term_index_divisor: 5

*java version: *
java version "1.7.0_51"
Java(TM) SE Runtime Environment (build 1.7.0_51-b13)
Java HotSpot(TM) 64-Bit Server VM (build 24.51-b03,
mixed mode)

Elasticsearch version
"version" : {
"number" : "1.0.0",
"build_hash" : "a46900e9c72c0a623d71b54016357d5f94c8ea32",

"build_timestamp" : "2014-02-12T16:18:34Z",
"build_snapshot" : false,
"lucene_version" : "4.6"

}

Using elastica PHP

I have tried playing with values up and down to try to
make it work, but nothing is changing.

Please any help would be highly appreciated.

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Hello Lukas, thanks for the reply,

Here's my ES info

{
"status" : 200,
"name" : "Mutant X",
"version" : {
"number" : "1.0.0",
"build_hash" : "a46900e9c72c0a623d71b54016357d5f94c8ea32",
"build_timestamp" : "2014-02-12T16:18:34Z",
"build_snapshot" : false,
"lucene_version" : "4.6"
},
"tagline" : "You Know, for Search"
}


Sincerely:
Hicham Mallah
Software Developer
mallah.hicham@gmail.com
00961 700 49 600

On Mon, Mar 17, 2014 at 12:07 PM, Lukáš Vlček lukas.vlcek@gmail.com wrote:

Hicham,

bigdesk does not display all ES caches but it could (it is just one issue
ticket away, feel free to open onehttps://github.com/lukas-vlcek/bigdesk/issues).
Can you remind me what ES version are you using?

Regards,
Lukas

On Mon, Mar 17, 2014 at 10:38 AM, Hicham Mallah mallah.hicham@gmail.comwrote:

Hello Amit, I didn't see any big difference between the 1.7 update 25 and
1.7 update 51 so I went back to the newest version, as it wasn't my issue,
maybe you should stay with the latest version unless you suspect it is
causing you issues.

Jorg, I only use bigdesk plugin, I installed it after the issues started.
I don't use ES caches (I don't control them at least, never touched
anything to do with them), and I use 1 or 2 filters per query never more,
no wildcards no facets no sorting. As for the heap profile, I have 2 hprof
files, but I don't really understand them.


Sincerely:
Hicham Mallah
Software Developer
mallah.hicham@gmail.com
00961 700 49 600

On Mon, Mar 17, 2014 at 10:18 AM, Amit Soni amitsoni29@gmail.com wrote:

Hello team - I see the recommendation here in this thread to use JDK 1.7
update 25. However in the websitehttp://www.elasticsearch.org/guide/en/elasticsearch/hadoop/current/requirements.htmlupdate 51 is recommended.

Can you advice as to which version should be used?

-Amit.

On Sat, Mar 15, 2014 at 3:38 AM, joergprante@gmail.com <
joergprante@gmail.com> wrote:

We should encircle possible causes more closely.

Do you have more incidents in the ES logs that are unusual?

What about memory leaks? Do you use plugins?

How do you use ES caches/filters? Can you see something after making a
heap memory profile?

Jörg

On Fri, Mar 14, 2014 at 3:32 PM, Hicham Mallah <mallah.hicham@gmail.com

wrote:

Downgraded java, that didn't solve my issue,

java version "1.7.0_25"
Java(TM) SE Runtime Environment (build 1.7.0_25-b13)
Java HotSpot(TM) 64-Bit Server VM (build 23.25-b01, mixed mode)

Tried to keep it up without restarting it to see what will happen, and
to see if there will be and .hprof file to check. It went up till 71%
memory, then the whole server was very VERY slow and wasn't responding
anymore, so I had to restart the whole server...

I am out of ideas!


Sincerely:
Hicham Mallah
Software Developer
mallah.hicham@gmail.com
00961 700 49 600

On Fri, Mar 14, 2014 at 10:47 AM, Hicham Mallah <
mallah.hicham@gmail.com> wrote:

Hello again,

Sorry for the late reply, you're right I don't think it is the OOM
killer, I'll be downgrading my JVM to see what will happen.

Will let you know how it goes.

Thanks.


Sincerely:
Hicham Mallah
Software Developer
mallah.hicham@gmail.com
00961 700 49 600

On Fri, Mar 14, 2014 at 2:10 AM, Zachary Tong <zacharyjtong@gmail.com

wrote:

Also, can you confirm that it was actually the OOM killer nuking the
process? That will help us to determine if it was OOM killer or a JVM
crash.

OOM killer will log something through dmesg/syslog/etc, showing the
OOM killer killing 'java' and the pid (and some other info I think)

On Thursday, March 13, 2014 7:54:55 PM UTC-4, Zachary Tong wrote:

Yeah, your heap looks fine. I'm inclined to believe that the JVM
itself is crashing, as you suggest. There is at least one known fatal bug
in recent versions of the JVM which directly impacts Lucene/Elasticsearch:

Loading...
[LUCENE-5212] java 7u40 causes sigsegv and corrupt term vectors - ASF JIRA

The currently recommended version for ES is Java 1.7.0_u25. Try
downgrading to that and see if it helps. Sorry, I should have noticed your
JVM version earlier and made the suggestion...totally slipped by me!

-Zach

On Thursday, March 13, 2014 4:41:25 PM UTC-4, Hicham Mallah wrote:

Added index.codec.bloom.load: false to the elasticsearch.yml,
doesn't seem to have changed anything.

It is at 63% after 2 hours and a half up time.

Watching stuff on Bigdesk everything seems to be normal:

Memory:
Committed: 7.8gb
Used: 4.5gb

The used is going up and down normally, so heap is being cleaned
no?

So it is working as expected, can't find anything, could it be
Oracle Java, should I try using OpenJDK at the place?!

Really thankful for you guys trying to help me


Sincerely:
Hicham Mallah
Software Developer
mallah...@gmail.com
00961 700 49 600

On Thu, Mar 13, 2014 at 7:23 PM, joerg...@gmail.com <
joerg...@gmail.com> wrote:

There might be massive bloom cache loading for the Lucene codec.
My suggestion is to disable it. Try start ES nodes with

index:
codec:
bloom:
load: false

Bloom cache does not seem to fit perfectly into the diagnostics
as you described, that is just from the exception you sent.

Jörg

On Thu, Mar 13, 2014 at 6:01 PM, Hicham Mallah <
mallah...@gmail.com> wrote:

If I start elasticsearch from the bin folder not using the
wrapper, I get these exceptions after about 2 mins:

Exception in thread "elasticsearch[Adam X][generic][T#5]"
java.lang.OutOfMemoryError: Java heap space
at org.apache.lucene.util.fst.
BytesStore.(BytesStore.java:62)
at org.apache.lucene.util.fst.FST.(FST.java:366)
at org.apache.lucene.util.fst.FST.(FST.java:301)
at org.apache.lucene.codecs.BlockTreeTermsReader$
FieldReader.(BlockTreeTermsReader.java:481)
at org.apache.lucene.codecs.BlockTreeTermsReader.(
BlockTreeTermsReader.java:175)
at org.apache.lucene.codecs.lucene41.
Lucene41PostingsFormat.fieldsProducer(
Lucene41PostingsFormat.java:437)
at org.elasticsearch.index.codec.postingsformat.
BloomFilterPostingsFormat$BloomFilteredFieldsProducer.(
BloomFilterPostingsFormat.java:131)
at org.elasticsearch.index.codec.postingsformat.
BloomFilterPostingsFormat.fieldsProducer(
BloomFilterPostingsFormat.java:102)
at org.elasticsearch.index.codec.postingsformat.
Elasticsearch090PostingsFormat.fieldsProducer(
Elasticsearch090PostingsFormat.java:79)
at org.apache.lucene.codecs.perfield.
PerFieldPostingsFormat$FieldsReader.(
PerFieldPostingsFormat.java:195)
at org.apache.lucene.codecs.perfield.
PerFieldPostingsFormat.fieldsProducer(
PerFieldPostingsFormat.java:244)
at org.apache.lucene.index.SegmentCoreReaders.(
SegmentCoreReaders.java:115)
at org.apache.lucene.index.SegmentReader.(
SegmentReader.java:95)
at org.apache.lucene.index.ReadersAndUpdates.getReader(
ReadersAndUpdates.java:141)
at org.apache.lucene.index.ReadersAndUpdates.
getReadOnlyClone(ReadersAndUpdates.java:235)
at org.apache.lucene.index.StandardDirectoryReader.open(
StandardDirectoryReader.java:100)
at org.apache.lucene.index.IndexWriter.getReader(
IndexWriter.java:382)
at org.apache.lucene.index.DirectoryReader.open(
DirectoryReader.java:111)
at org.apache.lucene.search.XSearcherManager.(
XSearcherManager.java:94)
at org.elasticsearch.index.engine.internal.
InternalEngine.buildSearchManager(InternalEngine.java:1462)
at org.elasticsearch.index.engine.internal.
InternalEngine.start(InternalEngine.java:279)
at org.elasticsearch.index.shard.
service.InternalIndexShard.performRecoveryPrepareForTrans
log(InternalIndexShard.java:706)
at org.elasticsearch.index.gateway.local.
LocalIndexShardGateway.recover(LocalIndexShardGateway.java:201)
at org.elasticsearch.index.gateway.
IndexShardGatewayService$1.run(IndexShardGatewayService.
java:189)
at java.util.concurrent.ThreadPoolExecutor.runWorker(
ThreadPoolExecutor.java:1145)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(
ThreadPoolExecutor.java:615)
at java.lang.Thread.run(Thread.java:744)


Sincerely:
Hicham Mallah
Software Developer
mallah...@gmail.com
00961 700 49 600

On Thu, Mar 13, 2014 at 6:47 PM, Hicham Mallah <
mallah...@gmail.com> wrote:

Hello again,

setting bootstrap.mlockall to true seems to have made memory
usage slower, so like at the place of elasticsearch being killed after ~2
hours it will be killed after ~3 hours. What I see weird, is why is the
process releasing memory one back to the OS but not doing it again? And why
is it not abiding by this DIRECT_SIZE setting too.

Thanks for the help


Sincerely:
Hicham Mallah
Software Developer
mallah...@gmail.com
00961 700 49 600

On Thu, Mar 13, 2014 at 4:45 PM, Hicham Mallah <
mallah...@gmail.com> wrote:

Jorg the issue is after the JVM giving back memory to the OS,
it starts going up again, and never gives back memory till its killed,
currently memory usage is up to 66% and still going up. HEAP size is
currently set to 8gb which is 1/4 the amount of memory I have. I tried it
at 16, 12, now at 8 but still facing the issue, lowering it more will cause
undesirable speed on the website. I'll try mlockall now, and see what
happens, but looking at Bigdesk on 18.6mb of swap is used.

I'll let you know what happens with mlockall on.


Sincerely:
Hicham Mallah
Software Developer
mallah...@gmail.com
00961 700 49 600

On Thu, Mar 13, 2014 at 4:38 PM, joerg...@gmail.com <
joerg...@gmail.com> wrote:

From the gist, it alls looks very well. There is no reason
for the OOM killer to kick in. Your system is idle and there is much room
for everything.

Just to quote you:

"What's happening is that elasticsearch starts using memory
till 50% then it goes back down to about 30% gradually then starts to go up
again gradually and never goes back down."

What you see is ES JVM process giving back memory to the OS,
which is no reason to worry about in regard to process killing. It is just
undesirable behaviour, and it is all a matter of correct configuration of
the heap size.

You should check if your ES starts from service wrapper or
from the bin folder, and adjust the parameters for heap size. I recommend
only to use ES_HEAP_SIZE parameter. Set this to max. 50% RAM (as you did).
But do not use different values at other places, or use MIN or MAX.
ES_HEAP_SIZE is doing the right thing for you.

With bootstrap mlockall, you can lock the ES JVM process into
main memory, this helps much regarding to performance and fast GC, as it
reduces swapping. You can test if this setting will invoke the OOM killer
too, as it increases the pressure on main memory (but, as said, there is
plenty room in your machine).

Jörg

On Thu, Mar 13, 2014 at 3:13 PM, Hicham Mallah <
mallah...@gmail.com> wrote:

Hello Zachary,

Thanks for your reply and the pointer to the settings.

Here are the output of the commands you requested:

curl -XGET "http://localhost:9200/_nodes/stats"
curl -XGET "http://localhost:9200/_nodes"

Elastic Search stats · GitHub


Sincerely:
Hicham Mallah
Software Developer
mallah...@gmail.com
00961 700 49 600

On Thu, Mar 13, 2014 at 3:57 PM, Zachary Tong <
zachar...@gmail.com> wrote:

Can you gist up the output of these two commands?

curl -XGET "http://localhost:9200/_nodes/stats"

curl -XGET "http://localhost:9200/_nodes"

Those are my first-stop APIs for determining where memory
is being allocated.

By the way, these settings don't do anything anymore (they
were depreciated and removed):

index.cache.field.type: soft
index.term_index_interval: 256
index.term_index_divisor: 5

index.cache.field.max_size: 10000

max_size was replaced with indices.fielddata.cache.size
and accepts a value like "10gb" or "30%"

And this is just bad settings in general (causes a lot of
GC thrashing):

index.cache.field.expire: 10m

On Thursday, March 13, 2014 8:42:54 AM UTC-4, Hicham Mallah
wrote:

Now the process went back down to 25% usage, from now on
it will go back up, and won't stop going up.

Sorry for spamming


Sincerely:
Hicham Mallah
Software Developer
mallah...@gmail.com
00961 700 49 600

On Thu, Mar 13, 2014 at 2:37 PM, Hicham Mallah <
mallah...@gmail.com> wrote:

Here's the top after ~1 hour running:

PID USER PR NI VIRT RES SHR S %CPU %MEM
TIME+ COMMAND
780 root 20 0 317g 14g 7.1g S 492.9 46.4
157:50.89 java


Sincerely:
Hicham Mallah
Software Developer
mallah...@gmail.com
00961 700 49 600

On Thu, Mar 13, 2014 at 2:36 PM, Hicham Mallah <
mallah...@gmail.com> wrote:

Hello Jörg

Thanks for the reply, our swap size is 2g. I don't know
at what % the process is being killed as the first time it happened I
wasn't around, and then I never let that happen again as the website is
online. After 2 hours of running the memory in sure is going up to 60%, I
am restarting each time when it arrives at 70% (2h/2h30) when I am around
and testing config changes. When I am not around, I am setting a cron job
to restart the server every 2 hours. Server has apache and mysql running on
it too.


Sincerely:
Hicham Mallah
Software Developer
mallah...@gmail.com
00961 700 49 600

On Thu, Mar 13, 2014 at 2:22 PM, joerg...@gmail.com <
joerg...@gmail.com> wrote:

You wrote, the OOM killer killed the ES process. With
32g (and the swap size), the process must be very big. much more than you
configured. Can you give more info about the live size of the process,
after ~2 hours? Are there more application processes on the box?

Jörg

On Thu, Mar 13, 2014 at 12:46 PM, Hicham Mallah <
mallah...@gmail.com> wrote:

Hello,

I have been using elasticsearch on a ubuntu server for
a year now, and everything was going great. I had an index of 150,000,000
entries of domain names, running small queries on it, just filtering by 1
term no sorting no wildcard nothing. Now we moved servers, I have now a
CentOS 6 server, 32GB ram and running elasticserach but now we have 2
indices, of about 150 million entries each 32 shards, still running the
same queries on them nothing changed in the queries. But since we went
online with the new server, I have to restart elasticsearch every 2 hours
before OOM killer kills it.

What's happening is that elasticsearch starts using
memory till 50% then it goes back down to about 30% gradually then starts
to go up again gradually and never goes back down.

I have tried all the solutions I found on the net, I
am a developer not a server admin.

I have these setting in my service wrapper
configuration

set.default.ES_HOME=/home/elasticsearch
set.default.ES_HEAP_SIZE=8192
set.default.MAX_OPEN_FILES=65535
set.default.MAX_LOCKED_MEMORY=10240
set.default.CONF_DIR=/home/elasticsearch/conf
set.default.WORK_DIR=/home/elasticsearch/tmp
set.default.DIRECT_SIZE=4g

Java Additional Parameters

wrapper.java.additional.1=-Delasticsearch-service
wrapper.java.additional.2=-Des.path.home=%ES_HOME%
wrapper.java.additional.3=-Xss256k
wrapper.java.additional.4=-XX:+UseParNewGC
wrapper.java.additional.5=-XX:+UseConcMarkSweepGC
wrapper.java.additional.6=-XX:
CMSInitiatingOccupancyFraction=75
wrapper.java.additional.7=-XX:+UseCMSInitiatingOccupancyOnly

wrapper.java.additional.8=-XX:+HeapDumpOnOutOfMemoryError

wrapper.java.additional.9=-Djava.awt.headless=true
wrapper.java.additional.10=-XX:MinHeapFreeRatio=40
wrapper.java.additional.11=-XX:MaxHeapFreeRatio=70
wrapper.java.additional.12=-XX:
CMSInitiatingOccupancyFraction=75
wrapper.java.additional.13=-XX:+
UseCMSInitiatingOccupancyOnly
wrapper.java.additional.15=-XX:MaxDirectMemorySize=4g

Initial Java Heap Size (in MB)

wrapper.java.initmemory=%ES_HEAP_SIZE%

And these in elasticsearch.yml
ES_MIN_MEM: 5g
ES_MAX_MEM: 5g
#index.store.type=mmapfs
index.cache.field.type: soft
index.cache.field.max_size: 10000
index.cache.field.expire: 10m
index.term_index_interval: 256
index.term_index_divisor: 5

*java version: *
java version "1.7.0_51"
Java(TM) SE Runtime Environment (build 1.7.0_51-b13)
Java HotSpot(TM) 64-Bit Server VM (build 24.51-b03,
mixed mode)

Elasticsearch version
"version" : {
"number" : "1.0.0",
"build_hash" : "a46900e9c72c0a623d71b54016357d5f94c8ea32",

"build_timestamp" : "2014-02-12T16:18:34Z",
"build_snapshot" : false,
"lucene_version" : "4.6"

}

Using elastica PHP

I have tried playing with values up and down to try to
make it work, but nothing is changing.

Please any help would be highly appreciated.

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Would adding more nodes help, or it will cause more load on memory and cpu?


Sincerely:
Hicham Mallah
Software Developer
mallah.hicham@gmail.com
00961 700 49 600

On Mon, Mar 17, 2014 at 12:10 PM, Hicham Mallah mallah.hicham@gmail.comwrote:

Hello Lukas, thanks for the reply,

Here's my ES info

{
"status" : 200,
"name" : "Mutant X",

"version" : {
"number" : "1.0.0",
"build_hash" : "a46900e9c72c0a623d71b54016357d5f94c8ea32",
"build_timestamp" : "2014-02-12T16:18:34Z",
"build_snapshot" : false,
"lucene_version" : "4.6"
},
"tagline" : "You Know, for Search"
}


Sincerely:
Hicham Mallah
Software Developer
mallah.hicham@gmail.com
00961 700 49 600

On Mon, Mar 17, 2014 at 12:07 PM, Lukáš Vlček lukas.vlcek@gmail.comwrote:

Hicham,

bigdesk does not display all ES caches but it could (it is just one issue
ticket away, feel free to open onehttps://github.com/lukas-vlcek/bigdesk/issues).
Can you remind me what ES version are you using?

Regards,
Lukas

On Mon, Mar 17, 2014 at 10:38 AM, Hicham Mallah mallah.hicham@gmail.comwrote:

Hello Amit, I didn't see any big difference between the 1.7 update 25
and 1.7 update 51 so I went back to the newest version, as it wasn't my
issue, maybe you should stay with the latest version unless you suspect it
is causing you issues.

Jorg, I only use bigdesk plugin, I installed it after the issues
started. I don't use ES caches (I don't control them at least, never
touched anything to do with them), and I use 1 or 2 filters per query
never more, no wildcards no facets no sorting. As for the heap profile, I
have 2 hprof files, but I don't really understand them.


Sincerely:
Hicham Mallah
Software Developer
mallah.hicham@gmail.com
00961 700 49 600

On Mon, Mar 17, 2014 at 10:18 AM, Amit Soni amitsoni29@gmail.comwrote:

Hello team - I see the recommendation here in this thread to use JDK
1.7 update 25. However in the websitehttp://www.elasticsearch.org/guide/en/elasticsearch/hadoop/current/requirements.htmlupdate 51 is recommended.

Can you advice as to which version should be used?

-Amit.

On Sat, Mar 15, 2014 at 3:38 AM, joergprante@gmail.com <
joergprante@gmail.com> wrote:

We should encircle possible causes more closely.

Do you have more incidents in the ES logs that are unusual?

What about memory leaks? Do you use plugins?

How do you use ES caches/filters? Can you see something after making a
heap memory profile?

Jörg

On Fri, Mar 14, 2014 at 3:32 PM, Hicham Mallah <
mallah.hicham@gmail.com> wrote:

Downgraded java, that didn't solve my issue,

java version "1.7.0_25"
Java(TM) SE Runtime Environment (build 1.7.0_25-b13)
Java HotSpot(TM) 64-Bit Server VM (build 23.25-b01, mixed mode)

Tried to keep it up without restarting it to see what will happen,
and to see if there will be and .hprof file to check. It went up till 71%
memory, then the whole server was very VERY slow and wasn't responding
anymore, so I had to restart the whole server...

I am out of ideas!


Sincerely:
Hicham Mallah
Software Developer
mallah.hicham@gmail.com
00961 700 49 600

On Fri, Mar 14, 2014 at 10:47 AM, Hicham Mallah <
mallah.hicham@gmail.com> wrote:

Hello again,

Sorry for the late reply, you're right I don't think it is the OOM
killer, I'll be downgrading my JVM to see what will happen.

Will let you know how it goes.

Thanks.


Sincerely:
Hicham Mallah
Software Developer
mallah.hicham@gmail.com
00961 700 49 600

On Fri, Mar 14, 2014 at 2:10 AM, Zachary Tong <
zacharyjtong@gmail.com> wrote:

Also, can you confirm that it was actually the OOM killer nuking
the process? That will help us to determine if it was OOM killer or a JVM
crash.

OOM killer will log something through dmesg/syslog/etc, showing the
OOM killer killing 'java' and the pid (and some other info I think)

On Thursday, March 13, 2014 7:54:55 PM UTC-4, Zachary Tong wrote:

Yeah, your heap looks fine. I'm inclined to believe that the JVM
itself is crashing, as you suggest. There is at least one known fatal bug
in recent versions of the JVM which directly impacts Lucene/Elasticsearch:

Loading...
[LUCENE-5212] java 7u40 causes sigsegv and corrupt term vectors - ASF JIRA

The currently recommended version for ES is Java 1.7.0_u25. Try
downgrading to that and see if it helps. Sorry, I should have noticed your
JVM version earlier and made the suggestion...totally slipped by me!

-Zach

On Thursday, March 13, 2014 4:41:25 PM UTC-4, Hicham Mallah wrote:

Added index.codec.bloom.load: false to the elasticsearch.yml,
doesn't seem to have changed anything.

It is at 63% after 2 hours and a half up time.

Watching stuff on Bigdesk everything seems to be normal:

Memory:
Committed: 7.8gb
Used: 4.5gb

The used is going up and down normally, so heap is being cleaned
no?

So it is working as expected, can't find anything, could it be
Oracle Java, should I try using OpenJDK at the place?!

Really thankful for you guys trying to help me


Sincerely:
Hicham Mallah
Software Developer
mallah...@gmail.com
00961 700 49 600

On Thu, Mar 13, 2014 at 7:23 PM, joerg...@gmail.com <
joerg...@gmail.com> wrote:

There might be massive bloom cache loading for the Lucene codec.
My suggestion is to disable it. Try start ES nodes with

index:
codec:
bloom:
load: false

Bloom cache does not seem to fit perfectly into the diagnostics
as you described, that is just from the exception you sent.

Jörg

On Thu, Mar 13, 2014 at 6:01 PM, Hicham Mallah <
mallah...@gmail.com> wrote:

If I start elasticsearch from the bin folder not using the
wrapper, I get these exceptions after about 2 mins:

Exception in thread "elasticsearch[Adam X][generic][T#5]"
java.lang.OutOfMemoryError: Java heap space
at org.apache.lucene.util.fst.
BytesStore.(BytesStore.java:62)
at org.apache.lucene.util.fst.FST.(FST.java:366)
at org.apache.lucene.util.fst.FST.(FST.java:301)
at org.apache.lucene.codecs.BlockTreeTermsReader$
FieldReader.(BlockTreeTermsReader.java:481)
at org.apache.lucene.codecs.
BlockTreeTermsReader.(BlockTreeTermsReader.java:175)
at org.apache.lucene.codecs.lucene41.
Lucene41PostingsFormat.fieldsProducer(
Lucene41PostingsFormat.java:437)
at org.elasticsearch.index.codec.postingsformat.
BloomFilterPostingsFormat$BloomFilteredFieldsProducer.(
BloomFilterPostingsFormat.java:131)
at org.elasticsearch.index.codec.postingsformat.
BloomFilterPostingsFormat.fieldsProducer(
BloomFilterPostingsFormat.java:102)
at org.elasticsearch.index.codec.postingsformat.
Elasticsearch090PostingsFormat.fieldsProducer(
Elasticsearch090PostingsFormat.java:79)
at org.apache.lucene.codecs.perfield.
PerFieldPostingsFormat$FieldsReader.(
PerFieldPostingsFormat.java:195)
at org.apache.lucene.codecs.perfield.
PerFieldPostingsFormat.fieldsProducer(
PerFieldPostingsFormat.java:244)
at org.apache.lucene.index.SegmentCoreReaders.(
SegmentCoreReaders.java:115)
at org.apache.lucene.index.SegmentReader.(
SegmentReader.java:95)
at org.apache.lucene.index.ReadersAndUpdates.getReader(
ReadersAndUpdates.java:141)
at org.apache.lucene.index.ReadersAndUpdates.
getReadOnlyClone(ReadersAndUpdates.java:235)
at org.apache.lucene.index.
StandardDirectoryReader.open(StandardDirectoryReader.java:100)
at org.apache.lucene.index.IndexWriter.getReader(
IndexWriter.java:382)
at org.apache.lucene.index.DirectoryReader.open(
DirectoryReader.java:111)
at org.apache.lucene.search.XSearcherManager.(
XSearcherManager.java:94)
at org.elasticsearch.index.engine.internal.
InternalEngine.buildSearchManager(InternalEngine.java:1462)
at org.elasticsearch.index.engine.internal.
InternalEngine.start(InternalEngine.java:279)
at org.elasticsearch.index.shard.
service.InternalIndexShard.performRecoveryPrepareForTrans
log(InternalIndexShard.java:706)
at org.elasticsearch.index.gateway.local.
LocalIndexShardGateway.recover(LocalIndexShardGateway.java:201)
at org.elasticsearch.index.gateway.
IndexShardGatewayService$1.run(IndexShardGatewayService.
java:189)
at java.util.concurrent.ThreadPoolExecutor.runWorker(
ThreadPoolExecutor.java:1145)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(
ThreadPoolExecutor.java:615)
at java.lang.Thread.run(Thread.java:744)


Sincerely:
Hicham Mallah
Software Developer
mallah...@gmail.com
00961 700 49 600

On Thu, Mar 13, 2014 at 6:47 PM, Hicham Mallah <
mallah...@gmail.com> wrote:

Hello again,

setting bootstrap.mlockall to true seems to have made memory
usage slower, so like at the place of elasticsearch being killed after ~2
hours it will be killed after ~3 hours. What I see weird, is why is the
process releasing memory one back to the OS but not doing it again? And why
is it not abiding by this DIRECT_SIZE setting too.

Thanks for the help


Sincerely:
Hicham Mallah
Software Developer
mallah...@gmail.com
00961 700 49 600

On Thu, Mar 13, 2014 at 4:45 PM, Hicham Mallah <
mallah...@gmail.com> wrote:

Jorg the issue is after the JVM giving back memory to the OS,
it starts going up again, and never gives back memory till its killed,
currently memory usage is up to 66% and still going up. HEAP size is
currently set to 8gb which is 1/4 the amount of memory I have. I tried it
at 16, 12, now at 8 but still facing the issue, lowering it more will cause
undesirable speed on the website. I'll try mlockall now, and see what
happens, but looking at Bigdesk on 18.6mb of swap is used.

I'll let you know what happens with mlockall on.


Sincerely:
Hicham Mallah
Software Developer
mallah...@gmail.com
00961 700 49 600

On Thu, Mar 13, 2014 at 4:38 PM, joerg...@gmail.com <
joerg...@gmail.com> wrote:

From the gist, it alls looks very well. There is no reason
for the OOM killer to kick in. Your system is idle and there is much room
for everything.

Just to quote you:

"What's happening is that elasticsearch starts using memory
till 50% then it goes back down to about 30% gradually then starts to go up
again gradually and never goes back down."

What you see is ES JVM process giving back memory to the OS,
which is no reason to worry about in regard to process killing. It is just
undesirable behaviour, and it is all a matter of correct configuration of
the heap size.

You should check if your ES starts from service wrapper or
from the bin folder, and adjust the parameters for heap size. I recommend
only to use ES_HEAP_SIZE parameter. Set this to max. 50% RAM (as you did).
But do not use different values at other places, or use MIN or MAX.
ES_HEAP_SIZE is doing the right thing for you.

With bootstrap mlockall, you can lock the ES JVM process
into main memory, this helps much regarding to performance and fast GC, as
it reduces swapping. You can test if this setting will invoke the OOM
killer too, as it increases the pressure on main memory (but, as said,
there is plenty room in your machine).

Jörg

On Thu, Mar 13, 2014 at 3:13 PM, Hicham Mallah <
mallah...@gmail.com> wrote:

Hello Zachary,

Thanks for your reply and the pointer to the settings.

Here are the output of the commands you requested:

curl -XGET "http://localhost:9200/_nodes/stats"
curl -XGET "http://localhost:9200/_nodes"

Elastic Search stats · GitHub


Sincerely:
Hicham Mallah
Software Developer
mallah...@gmail.com
00961 700 49 600

On Thu, Mar 13, 2014 at 3:57 PM, Zachary Tong <
zachar...@gmail.com> wrote:

Can you gist up the output of these two commands?

curl -XGET "http://localhost:9200/_nodes/stats"

curl -XGET "http://localhost:9200/_nodes"

Those are my first-stop APIs for determining where memory
is being allocated.

By the way, these settings don't do anything anymore (they
were depreciated and removed):

index.cache.field.type: soft
index.term_index_interval: 256
index.term_index_divisor: 5

index.cache.field.max_size: 10000

max_size was replaced with
indices.fielddata.cache.size and accepts a value like "10gb" or "30%"

And this is just bad settings in general (causes a lot of
GC thrashing):

index.cache.field.expire: 10m

On Thursday, March 13, 2014 8:42:54 AM UTC-4, Hicham
Mallah wrote:

Now the process went back down to 25% usage, from now on
it will go back up, and won't stop going up.

Sorry for spamming


Sincerely:
Hicham Mallah
Software Developer
mallah...@gmail.com
00961 700 49 600

On Thu, Mar 13, 2014 at 2:37 PM, Hicham Mallah <
mallah...@gmail.com> wrote:

Here's the top after ~1 hour running:

PID USER PR NI VIRT RES SHR S %CPU %MEM
TIME+ COMMAND
780 root 20 0 317g 14g 7.1g S 492.9 46.4
157:50.89 java


Sincerely:
Hicham Mallah
Software Developer
mallah...@gmail.com
00961 700 49 600

On Thu, Mar 13, 2014 at 2:36 PM, Hicham Mallah <
mallah...@gmail.com> wrote:

Hello Jörg

Thanks for the reply, our swap size is 2g. I don't know
at what % the process is being killed as the first time it happened I
wasn't around, and then I never let that happen again as the website is
online. After 2 hours of running the memory in sure is going up to 60%, I
am restarting each time when it arrives at 70% (2h/2h30) when I am around
and testing config changes. When I am not around, I am setting a cron job
to restart the server every 2 hours. Server has apache and mysql running on
it too.


Sincerely:
Hicham Mallah
Software Developer
mallah...@gmail.com
00961 700 49 600

On Thu, Mar 13, 2014 at 2:22 PM, joerg...@gmail.com <
joerg...@gmail.com> wrote:

You wrote, the OOM killer killed the ES process. With
32g (and the swap size), the process must be very big. much more than you
configured. Can you give more info about the live size of the process,
after ~2 hours? Are there more application processes on the box?

Jörg

On Thu, Mar 13, 2014 at 12:46 PM, Hicham Mallah <
mallah...@gmail.com> wrote:

Hello,

I have been using elasticsearch on a ubuntu server
for a year now, and everything was going great. I had an index of
150,000,000 entries of domain names, running small queries on it, just
filtering by 1 term no sorting no wildcard nothing. Now we moved servers, I
have now a CentOS 6 server, 32GB ram and running elasticserach but now we
have 2 indices, of about 150 million entries each 32 shards, still running
the same queries on them nothing changed in the queries. But since we went
online with the new server, I have to restart elasticsearch every 2 hours
before OOM killer kills it.

What's happening is that elasticsearch starts using
memory till 50% then it goes back down to about 30% gradually then starts
to go up again gradually and never goes back down.

I have tried all the solutions I found on the net, I
am a developer not a server admin.

I have these setting in my service wrapper
configuration

set.default.ES_HOME=/home/elasticsearch
set.default.ES_HEAP_SIZE=8192
set.default.MAX_OPEN_FILES=65535
set.default.MAX_LOCKED_MEMORY=10240
set.default.CONF_DIR=/home/elasticsearch/conf
set.default.WORK_DIR=/home/elasticsearch/tmp
set.default.DIRECT_SIZE=4g

Java Additional Parameters

wrapper.java.additional.1=-Delasticsearch-service
wrapper.java.additional.2=-Des.path.home=%ES_HOME%
wrapper.java.additional.3=-Xss256k
wrapper.java.additional.4=-XX:+UseParNewGC
wrapper.java.additional.5=-XX:+UseConcMarkSweepGC
wrapper.java.additional.6=-XX:
CMSInitiatingOccupancyFraction=75
wrapper.java.additional.7=-XX:+UseCMSInitiatingOccupancyOnly

wrapper.java.additional.8=-XX:+HeapDumpOnOutOfMemoryError

wrapper.java.additional.9=-Djava.awt.headless=true
wrapper.java.additional.10=-XX:MinHeapFreeRatio=40
wrapper.java.additional.11=-XX:MaxHeapFreeRatio=70
wrapper.java.additional.12=-XX:
CMSInitiatingOccupancyFraction=75
wrapper.java.additional.13=-XX:+
UseCMSInitiatingOccupancyOnly
wrapper.java.additional.15=-XX:MaxDirectMemorySize=4g

Initial Java Heap Size (in MB)

wrapper.java.initmemory=%ES_HEAP_SIZE%

And these in elasticsearch.yml
ES_MIN_MEM: 5g
ES_MAX_MEM: 5g
#index.store.type=mmapfs
index.cache.field.type: soft
index.cache.field.max_size: 10000
index.cache.field.expire: 10m
index.term_index_interval: 256
index.term_index_divisor: 5

*java version: *
java version "1.7.0_51"
Java(TM) SE Runtime Environment (build 1.7.0_51-b13)
Java HotSpot(TM) 64-Bit Server VM (build 24.51-b03,
mixed mode)

Elasticsearch version
"version" : {
"number" : "1.0.0",
"build_hash" : "a46900e9c72c0a623d71b54016357d5f94c8ea32",

"build_timestamp" : "2014-02-12T16:18:34Z",
"build_snapshot" : false,
"lucene_version" : "4.6"

}

Using elastica PHP

I have tried playing with values up and down to try
to make it work, but nothing is changing.

Please any help would be highly appreciated.

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On 17 March 2014 09:18, Amit Soni amitsoni29@gmail.com wrote:

Hello team - I see the recommendation here in this thread to use JDK 1.7
update 25. However in the websitehttp://www.elasticsearch.org/guide/en/elasticsearch/hadoop/current/requirements.htmlupdate 51 is recommended.

Hi Amit

You should use u25. Later updates (including u51) have a bug in them which
can cause corrupt indices. See JavaBugs - Apache Lucene (Java) - Apache Software Foundation

The bug is fixed in u60, which hasn't been released yet.

The recommendation that you link to will be fixed.

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Hi,

I'm a beginner in elasticsearch. I'm using also ubuntu for
elasticsearch(version 1.1.0). My issue : where should I set the
ES_MIN/MAX_SIZE(= ES_HEAP_SIZE)? In /etc/elasticsearch/elasticsearch.yml or
/etc/default/elasticsearch or /etc/init.d/elasticsearch? From what i read i
should set the ES_MIN/MAX_SIZE = ram / 2.
My application is reading data from a Sqs and pushing it to elasticseach.
This is done from 2 consumers each with a thread pool of 5 threads. That
means 10 threads who are inserting documents in elasticsearch. I have a
separate server for elasticsearch with 8gb of ram.
From my configuration : I set ES_MIN/MAX_SIZE = 4g(=ram / 2) only in
/etc/elasticsearch/elasticsearch.yml and restarting the elasticsearch. When
I call the htop, I see for elasticsearch user the next command which is
duplicated(..10 threads => more line like this one) :
/usr/lib/jvm/java-7-openjdk-amd64//bin/java -Xms256m -Xmx1g -Xss256k
-Djava.awt. Shouldn't it be -Xms2g -Xmx2g, because I set in
elasticsearch.yml 2g?
From what i read in your post, you set in "service wrapper configuration"
set.default.ES_HEAP_SIZE=8192.
First of all : which file is linked to "service wrapper configuration"
/etc/default/elasticsearch or /etc/init.d/elasticsearch?
Second : why you have different values in elasticsearch.yml ES_MIN_MEM:
5g ES_MAX_MEM: 5g than in "service wrapper configuration"
(ES_HEAP_SIZE=8192) ?
Third : where should i set the wrapper.java.additional.1 ... 15 and
wrapper.java.initmemory=%ES_HEAP_SIZE% ?

joi, 13 martie 2014, 13:46:01 UTC+2, Hicham Mallah a scris:

Hello,

I have been using elasticsearch on a ubuntu server for a year now, and
everything was going great. I had an index of 150,000,000 entries of domain
names, running small queries on it, just filtering by 1 term no sorting no
wildcard nothing. Now we moved servers, I have now a CentOS 6 server, 32GB
ram and running elasticserach but now we have 2 indices, of about 150
million entries each 32 shards, still running the same queries on them
nothing changed in the queries. But since we went online with the new
server, I have to restart elasticsearch every 2 hours before OOM killer
kills it.

What's happening is that elasticsearch starts using memory till 50% then
it goes back down to about 30% gradually then starts to go up again
gradually and never goes back down.

I have tried all the solutions I found on the net, I am a developer not a
server admin.

I have these setting in my service wrapper configuration

set.default.ES_HOME=/home/elasticsearch
set.default.ES_HEAP_SIZE=8192
set.default.MAX_OPEN_FILES=65535
set.default.MAX_LOCKED_MEMORY=10240
set.default.CONF_DIR=/home/elasticsearch/conf
set.default.WORK_DIR=/home/elasticsearch/tmp
set.default.DIRECT_SIZE=4g

Java Additional Parameters

wrapper.java.additional.1=-Delasticsearch-service
wrapper.java.additional.2=-Des.path.home=%ES_HOME%
wrapper.java.additional.3=-Xss256k
wrapper.java.additional.4=-XX:+UseParNewGC
wrapper.java.additional.5=-XX:+UseConcMarkSweepGC
wrapper.java.additional.6=-XX:CMSInitiatingOccupancyFraction=75
wrapper.java.additional.7=-XX:+UseCMSInitiatingOccupancyOnly
wrapper.java.additional.8=-XX:+HeapDumpOnOutOfMemoryError
wrapper.java.additional.9=-Djava.awt.headless=true
wrapper.java.additional.10=-XX:MinHeapFreeRatio=40
wrapper.java.additional.11=-XX:MaxHeapFreeRatio=70
wrapper.java.additional.12=-XX:CMSInitiatingOccupancyFraction=75
wrapper.java.additional.13=-XX:+UseCMSInitiatingOccupancyOnly
wrapper.java.additional.15=-XX:MaxDirectMemorySize=4g

Initial Java Heap Size (in MB)

wrapper.java.initmemory=%ES_HEAP_SIZE%

And these in elasticsearch.yml
ES_MIN_MEM: 5g
ES_MAX_MEM: 5g
#index.store.type=mmapfs
index.cache.field.type: soft
index.cache.field.max_size: 10000
index.cache.field.expire: 10m
index.term_index_interval: 256
index.term_index_divisor: 5

*java version: *
java version "1.7.0_51"
Java(TM) SE Runtime Environment (build 1.7.0_51-b13)
Java HotSpot(TM) 64-Bit Server VM (build 24.51-b03, mixed mode)

Elasticsearch version
"version" : {
"number" : "1.0.0",
"build_hash" : "a46900e9c72c0a623d71b54016357d5f94c8ea32",
"build_timestamp" : "2014-02-12T16:18:34Z",
"build_snapshot" : false,
"lucene_version" : "4.6"
}

Using elastica PHP

I have tried playing with values up and down to try to make it work, but
nothing is changing.

Please any help would be highly appreciated.

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For ubuntu put it in /etc/default/elasticsearch. Try that and then see if
the command uses the right values (it should).
You will get better performance and stability from Oracle java if you can
install it.

It's also a good idea to start your own thread rather than post in old ones
:slight_smile:

Regards,
Mark Walkom

Infrastructure Engineer
Campaign Monitor
email: markw@campaignmonitor.com
web: www.campaignmonitor.com

On 11 June 2014 19:09, Ciprian turcanciprian87@gmail.com wrote:

Hi,

I'm a beginner in elasticsearch. I'm using also ubuntu for
elasticsearch(version 1.1.0). My issue : where should I set the
ES_MIN/MAX_SIZE(= ES_HEAP_SIZE)? In /etc/elasticsearch/elasticsearch.yml or
/etc/default/elasticsearch or /etc/init.d/elasticsearch? From what i read i
should set the ES_MIN/MAX_SIZE = ram / 2.
My application is reading data from a Sqs and pushing it to elasticseach.
This is done from 2 consumers each with a thread pool of 5 threads. That
means 10 threads who are inserting documents in elasticsearch. I have a
separate server for elasticsearch with 8gb of ram.
From my configuration : I set ES_MIN/MAX_SIZE = 4g(=ram / 2) only in
/etc/elasticsearch/elasticsearch.yml and restarting the elasticsearch. When
I call the htop, I see for elasticsearch user the next command which is
duplicated(..10 threads => more line like this one) :
/usr/lib/jvm/java-7-openjdk-amd64//bin/java -Xms256m -Xmx1g -Xss256k
-Djava.awt. Shouldn't it be -Xms2g -Xmx2g, because I set in
elasticsearch.yml 2g?
From what i read in your post, you set in "service wrapper
configuration" set.default.ES_HEAP_SIZE=8192.
First of all : which file is linked to "service wrapper configuration"
/etc/default/elasticsearch or /etc/init.d/elasticsearch?
Second : why you have different values in elasticsearch.yml ES_MIN_MEM:
5g ES_MAX_MEM: 5g than in "service wrapper configuration"
(ES_HEAP_SIZE=8192) ?
Third : where should i set the wrapper.java.additional.1 ... 15 and
wrapper.java.initmemory=%ES_HEAP_SIZE% ?

joi, 13 martie 2014, 13:46:01 UTC+2, Hicham Mallah a scris:

Hello,

I have been using elasticsearch on a ubuntu server for a year now, and
everything was going great. I had an index of 150,000,000 entries of domain
names, running small queries on it, just filtering by 1 term no sorting no
wildcard nothing. Now we moved servers, I have now a CentOS 6 server, 32GB
ram and running elasticserach but now we have 2 indices, of about 150
million entries each 32 shards, still running the same queries on them
nothing changed in the queries. But since we went online with the new
server, I have to restart elasticsearch every 2 hours before OOM killer
kills it.

What's happening is that elasticsearch starts using memory till 50% then
it goes back down to about 30% gradually then starts to go up again
gradually and never goes back down.

I have tried all the solutions I found on the net, I am a developer not a
server admin.

I have these setting in my service wrapper configuration

set.default.ES_HOME=/home/elasticsearch
set.default.ES_HEAP_SIZE=8192
set.default.MAX_OPEN_FILES=65535
set.default.MAX_LOCKED_MEMORY=10240
set.default.CONF_DIR=/home/elasticsearch/conf
set.default.WORK_DIR=/home/elasticsearch/tmp
set.default.DIRECT_SIZE=4g

Java Additional Parameters

wrapper.java.additional.1=-Delasticsearch-service
wrapper.java.additional.2=-Des.path.home=%ES_HOME%
wrapper.java.additional.3=-Xss256k
wrapper.java.additional.4=-XX:+UseParNewGC
wrapper.java.additional.5=-XX:+UseConcMarkSweepGC
wrapper.java.additional.6=-XX:CMSInitiatingOccupancyFraction=75
wrapper.java.additional.7=-XX:+UseCMSInitiatingOccupancyOnly
wrapper.java.additional.8=-XX:+HeapDumpOnOutOfMemoryError
wrapper.java.additional.9=-Djava.awt.headless=true
wrapper.java.additional.10=-XX:MinHeapFreeRatio=40
wrapper.java.additional.11=-XX:MaxHeapFreeRatio=70
wrapper.java.additional.12=-XX:CMSInitiatingOccupancyFraction=75
wrapper.java.additional.13=-XX:+UseCMSInitiatingOccupancyOnly
wrapper.java.additional.15=-XX:MaxDirectMemorySize=4g

Initial Java Heap Size (in MB)

wrapper.java.initmemory=%ES_HEAP_SIZE%

And these in elasticsearch.yml
ES_MIN_MEM: 5g
ES_MAX_MEM: 5g
#index.store.type=mmapfs
index.cache.field.type: soft
index.cache.field.max_size: 10000
index.cache.field.expire: 10m
index.term_index_interval: 256
index.term_index_divisor: 5

*java version: *
java version "1.7.0_51"
Java(TM) SE Runtime Environment (build 1.7.0_51-b13)
Java HotSpot(TM) 64-Bit Server VM (build 24.51-b03, mixed mode)

Elasticsearch version
"version" : {
"number" : "1.0.0",
"build_hash" : "a46900e9c72c0a623d71b54016357d5f94c8ea32",
"build_timestamp" : "2014-02-12T16:18:34Z",
"build_snapshot" : false,
"lucene_version" : "4.6"
}

Using elastica PHP

I have tried playing with values up and down to try to make it work, but
nothing is changing.

Please any help would be highly appreciated.

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