Hi, I would like to ask for your help with the following :I have two servers on which the elasticsearch is already installed and they are configured with the following :
cluster.name: essearchlocalthrift.port: 9500index.cache.field.type: softindex.cache.field.max_size: 20000
index.cache.field.expire: 25m index.refresh_interval: 30s indices.fielddata.cache.size: 15%indices.fielddata.cache.expire: 6hindices.cache.filter.size: 15%
indices.cache.filter.expire: 6hindices.memory.index_buffer_size: 70% indices.store.throttle.type: mergeindices.store.throttle.max_bytes_per_sec: 25mb
indices.recovery.concurrent_streams: 3indices.recovery.max_bytes_per_sec: 20mbindex.translog.flush_threshold_ops: 25000 index.merge.policy.max_merge_size: 500mb
index.store.compress.stored: truethreadpool.search.type: fixedthreadpool.search.size: 20 threadpool.search.queue_size: 1000 threadpool.bulk.type: fixed
threadpool.bulk.size: 20threadpool.bulk.queue_size: 1000 threadpool.index.type: fixedthreadpool.index.size: 20threadpool.index.queue_size: 1000index.store.type: mmapfs
# cluster settings# index.merge.policy.max_merged_segment: 1gb # it hasn't been tested yet# indices.fielddata.cache.size: 10% # it hasn't been tested yet
# multicast.enabled: false # it hasn't been tested yet# discovery.zen.ping_timeout: 5s # it hasn't been tested yet# discovery.zen.minimum_master_nodes: 2 # it hasn't been tested yet
# discovery.zen.ping.unicast.hosts: [""] # it hasn't been tested yet# cluster.routing.allocation.cluster_concurrent_rebalance: 2-----------------------------------------------------------------------
Each server has 24GB of physical memory available, but we are running elasticsearch in a standalone mode. There are two applications that insert logs into Elasticsearch at the same time, and 16Gb of memory is added to Elasticsearch for handling requests.
There are 8 GB of memory available for the system.So our problem is, when a search is started the load avarage of the system will be 'too high', and the system will be unusable, and sometimes we will get SearchRequest Exception (java.lang.outofmemoryerror java heap space) .
Could you suggest me a better configuration for solve these problems ?We can't provide more server for Elasticsearch and we can run only it on one node, so we can't run it in cluster mode.
Are the problems solved, if we put more memory into the server on where the Elasticsearch is running ?I also wanted to ask how can I make the elasticsearch to recover itself quickly ?
We have 150 index ( 750 shard ) , and each index size is about 20 GB.I tried to give high values to recovery options, but it hasn't effect.indices.recovery.concurrent_streams: 20
indices.recovery.max_bytes_per_sec: 1500mbOur servers configuration : - Intel(R) Xeon(R) CPU E5345 @ 2.33Ghz (8 core) - 24 GB memory DDR2
- 4 TB SSHD ( Hybrid ) (Elasticsearch version : 0.90.10)
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