Elastic search on t2.micro (Amazon WS)

I'm trying to see if I can get elastic search (ES) 1.3.8 working with
couchbase (CB) 3.0.2 on a t2.micro (Amazon WS)

t2.micro has 1 gig of RAM, which isn't a lot, but I'm only doing test
development on this with not a lot of documents (<1000).

I just installed ES and followed the CB instructions to install the plugin
and set the XDCR to get the replication going from CB to ES.

I also configured ES to have 0 replication and 1 shard (hoping this would
help minimize RAM usage). But I'm still seeing behaviors from ES where it
locks up the server, making it unresponsive than eventually complaining of
lack of memory.

Is there something else I can do to get this working on a t2.micro?

I'm a complete newbie to ES, and any help would be great,

thank you

slim

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Your only real option here is to get a machine with more RAM.
Try spinning up a VM locally, on your desk/laptop.

On 19 February 2015 at 00:52, Seung Chan Lim djslim@gmail.com wrote:

I'm trying to see if I can get Elasticsearch (ES) 1.3.8 working with
couchbase (CB) 3.0.2 on a t2.micro (Amazon WS)

t2.micro has 1 gig of RAM, which isn't a lot, but I'm only doing test
development on this with not a lot of documents (<1000).

I just installed ES and followed the CB instructions to install the plugin
and set the XDCR to get the replication going from CB to ES.

I also configured ES to have 0 replication and 1 shard (hoping this would
help minimize RAM usage). But I'm still seeing behaviors from ES where it
locks up the server, making it unresponsive than eventually complaining of
lack of memory.

Is there something else I can do to get this working on a t2.micro?

I'm a complete newbie to ES, and any help would be great,

thank you

slim

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What's the minimum RAM requirement?

slim

On Wednesday, February 18, 2015 at 5:18:58 PM UTC-5, Mark Walkom wrote:

Your only real option here is to get a machine with more RAM.
Try spinning up a VM locally, on your desk/laptop.

On 19 February 2015 at 00:52, Seung Chan Lim <djs...@gmail.com
<javascript:>> wrote:

I'm trying to see if I can get Elasticsearch (ES) 1.3.8 working with
couchbase (CB) 3.0.2 on a t2.micro (Amazon WS)

t2.micro has 1 gig of RAM, which isn't a lot, but I'm only doing test
development on this with not a lot of documents (<1000).

I just installed ES and followed the CB instructions to install the
plugin and set the XDCR to get the replication going from CB to ES.

I also configured ES to have 0 replication and 1 shard (hoping this would
help minimize RAM usage). But I'm still seeing behaviors from ES where it
locks up the server, making it unresponsive than eventually complaining of
lack of memory.

Is there something else I can do to get this working on a t2.micro?

I'm a complete newbie to ES, and any help would be great,

thank you

slim

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Depends on your dataset and use.
I don't go below 2GB heaps when I'm just testing things.

On 20 February 2015 at 05:52, Seung Chan Lim djslim@gmail.com wrote:

What's the minimum RAM requirement?

slim

On Wednesday, February 18, 2015 at 5:18:58 PM UTC-5, Mark Walkom wrote:

Your only real option here is to get a machine with more RAM.
Try spinning up a VM locally, on your desk/laptop.

On 19 February 2015 at 00:52, Seung Chan Lim djs...@gmail.com wrote:

I'm trying to see if I can get Elasticsearch (ES) 1.3.8 working with
couchbase (CB) 3.0.2 on a t2.micro (Amazon WS)

t2.micro has 1 gig of RAM, which isn't a lot, but I'm only doing test
development on this with not a lot of documents (<1000).

I just installed ES and followed the CB instructions to install the
plugin and set the XDCR to get the replication going from CB to ES.

I also configured ES to have 0 replication and 1 shard (hoping this
would help minimize RAM usage). But I'm still seeing behaviors from ES
where it locks up the server, making it unresponsive than eventually
complaining of lack of memory.

Is there something else I can do to get this working on a t2.micro?

I'm a complete newbie to ES, and any help would be great,

thank you

slim

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What's your heap size (JVM setting) set to?

It needs to be at most one half the machine's RAM, so set it to 500MB.

J

On Wednesday, February 18, 2015 at 3:52:22 PM UTC+2, Seung Chan Lim wrote:

I'm trying to see if I can get Elasticsearch (ES) 1.3.8 working with
couchbase (CB) 3.0.2 on a t2.micro (Amazon WS)

t2.micro has 1 gig of RAM, which isn't a lot, but I'm only doing test
development on this with not a lot of documents (<1000).

I just installed ES and followed the CB instructions to install the plugin
and set the XDCR to get the replication going from CB to ES.

I also configured ES to have 0 replication and 1 shard (hoping this would
help minimize RAM usage). But I'm still seeing behaviors from ES where it
locks up the server, making it unresponsive than eventually complaining of
lack of memory.

Is there something else I can do to get this working on a t2.micro?

I'm a complete newbie to ES, and any help would be great,

thank you

slim

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Except if you're running ES along with Couchbase you really want more RAM
anyway, 1GB for both is difficult.

On 20 February 2015 at 09:01, jrgns@jadeit.co.za wrote:

What's your heap size (JVM setting) set to?

It needs to be at most one half the machine's RAM, so set it to 500MB.

J

On Wednesday, February 18, 2015 at 3:52:22 PM UTC+2, Seung Chan Lim wrote:

I'm trying to see if I can get Elasticsearch (ES) 1.3.8 working with
couchbase (CB) 3.0.2 on a t2.micro (Amazon WS)

t2.micro has 1 gig of RAM, which isn't a lot, but I'm only doing test
development on this with not a lot of documents (<1000).

I just installed ES and followed the CB instructions to install the
plugin and set the XDCR to get the replication going from CB to ES.

I also configured ES to have 0 replication and 1 shard (hoping this would
help minimize RAM usage). But I'm still seeing behaviors from ES where it
locks up the server, making it unresponsive than eventually complaining of
lack of memory.

Is there something else I can do to get this working on a t2.micro?

I'm a complete newbie to ES, and any help would be great,

thank you

slim

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