Elasticsearch常用配置及性能参数[转]
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cluster.name: estest 集群名称
node.name: “testanya” 节点名称
node.master: false 是否主节点
node.data: true 是否存储数据
index.store.type: niofs 读写文件方式
index.cache.field.type: soft 缓存类型
bootstrap.mlockall: true 禁用swap
gateway.type: local 本地存储
gateway.recover_after_nodes: 3 3个数据节点开始恢复
gateway.recover_after_time: 5m 5分钟后开始恢复数据
gateway.expected_nodes: 4 4个es节点开始恢复
cluster.routing.allocation.node_initial_primaries_recoveries:8 并发恢复分片数
cluster.routing.allocation.node_concurrent_recoveries:2 同时recovery并发数
indices.recovery.max_bytes_per_sec: 250mb 数据在节点间传输最大带宽
indices.recovery.concurrent_streams: 8 同时读取数据文件流线程
discovery.zen.ping.multicast.enabled: false 禁用多播
discovery.zen.ping.unicast.hosts:[“192.168.169.11:9300”, “192.168.169.12:9300”]
discovery.zen.fd.ping_interval: 10s 节点间存活检测间隔
discovery.zen.fd.ping_timeout: 120s 存活超时时间
discovery.zen.fd.ping_retries: 6 存活超时重试次数
http.cors.enabled: true 使用监控
index.analysis.analyzer.ik.type:”ik” ik分词
thread pool setting
threadpool.index.type: fixed 写索引线程池类型
threadpool.index.size: 64 线程池大小（建议2~3倍cpu数）
threadpool.index.queue_size: 1000 队列大小
threadpool.search.size: 64 搜索线程池大小
threadpool.search.type: fixed 搜索线程池类型
threadpool.search.queue_size: 1000 队列大小
threadpool.get.type: fixed 取数据线程池类型
threadpool.get.size: 32 取数据线程池大小
threadpool.get.queue_size: 1000 队列大小
threadpool.bulk.type: fixed 批量请求线程池类型
threadpool.bulk.size: 32 批量请求线程池大小
threadpool.bulk.queue_size: 1000 队列大小
threadpool.flush.type: fixed 刷磁盘线程池类型
threadpool.flush.size: 32 刷磁盘线程池大小
threadpool.flush.queue_size: 1000 队列大小
indices.store.throttle.type: merge
indices.store.throttle.type: none 写磁盘类型
indices.store.throttle.max_bytes_per_sec:500mb 写磁盘最大带宽
index.merge.scheduler.max_thread_count: 8 索引merge最大线程数
index.translog.flush_threshold_size:600MB 刷新translog文件阀值
cluster.routing.allocation.node_initial_primaries_recoveries:8 并发恢复分片数
cluster.routing.allocation.node_concurrent_recoveries:2 同时recovery并发数
使用bulk API 增加入库速度
初次索引的时候，把 replica 设置为 0
增大 threadpool.index.queue_size 1000
增大 indices.memory.index_buffer_size: 20%
index.translog.durability: async –这个可以异步写硬盘，增大写的速度
增大 index.translog.flush_threshold_size: 600MB
增大 index.translog.flush_threshold_ops: 500000
curl -XPOST ‘127.0.0.1:9200/_cluster/settings‘ -d ‘{
"transient" :
{
"index.indexing.slowlog.threshold.index.warn": "10s",
"index.indexing.slowlog.threshold.index.info": "5s",
"index.indexing.slowlog.threshold.index.debug": "2s",
"index.indexing.slowlog.threshold.index.trace": "500ms",
"index.indexing.slowlog.level": "info",
"index.indexing.slowlog.source": "1000",
"indices.memory.index_buffer_size": "20%"
}
}‘
curl -XPOST ‘127.0.0.1:9200/_cluster/settings‘ -d ‘{
"transient" :
{
"index.search.slowlog.threshold.query.warn": "10s",
"index.search.slowlog.threshold.query.info": "5s",
"index.search.slowlog.threshold.query.debug": "2s",
"index.search.slowlog.threshold.query.trace": "500ms",
"index.search.slowlog.threshold.fetch.warn": "1s",
"index.search.slowlog.threshold.fetch.info": "800ms",
"index.search.slowlog.threshold.fetch.debug": "500ms",
"index.search.slowlog.threshold.fetch.trace": "200ms"
}
}‘
–节点下线时，把所有后缀为 -2的从集群中排除
curl -XPUT http://127.0.0.1:9200/_cluster/settings
{ "transient" :
{"cluster.routing.allocation.enable" : "all", "cluster.routing.allocation.exclude._name":".*-2"}
}
curl -XPUT ip:9200/_cluster/settings -d
‘{
"transient": {
"logger.discover": "DEBUG"
}
"persistent": {
"discovery.zen.minimum_master_nodes": 2
}
}‘
—批量指定节点下线
curl -XPUT 127.0.0.1:9200/_cluster/settings -d ‘{
"transient": {
"cluster.routing.allocation.exclude._name": "atest11-2,atest12-2,anatest13-2,antest14-2"
}
}‘
curl -XPUT 127.0.0.1:9200/_cluster/settings -d ‘{
"transient": {
"cluster.routing.allocation.exclude._name": "test_aa73_2,test_aa73"
}
}‘
curl -XPUT 127.0.0.1:9200/_cluster/settings -d ‘{
"transient": {
"cluster.routing.allocation.exclude._name": ""
}
}‘
curl -XPUT 127.0.0.1:9200/_cluster/settings -d ‘{
"transient": {
"cluster.routing.allocation.cluster_concurrent_rebalance": 10
}
}‘
curl -XPUT 127.0.0.1:9200/_cluster/settings -d ‘{
"transient": {
"indices.store.throttle.type": "none",
"index.store.type": "niofs",
"index.cache.field.type": "soft",
"indices.store.throttle.max_bytes_per_sec": "500mb",
"index.translog.flush_threshold_size": "600MB",
"threadpool.flush.type": "fixed",
"threadpool.flush.size": 32,
"threadpool.flush.queue_size": 1000
}
}‘
curl -XPUT 127.0.0.1:9200/_cluster/settings -d ‘{
"transient": {
"index.indexing.slowlog.level": "warn"
}
}‘
curl -XGET 127.0.0.1:9200/_cluster/health?level=shards
curl -XGET 127.0.0.1:9200/_cluster/settings?pretty
curl -XGET 127.0.0.1:9200/_cluster/pending_tasks?pretty
curl -XGET 127.0.0.1:9200/_cat/aliases
curl -XGET 127.0.0.1:9200/_cat/plugins
curl -XGET 127.0.0.1:9200/_cat/nodes
/_cat/allocation
/_cat/shards
/_cat/shards/{index}
/_cat/master
/_cat/nodes
/_cat/indices
/_cat/indices/{index}
/_cat/segments
/_cat/segments/{index}
/_cat/count
/_cat/count/{index}
/_cat/recovery
/_cat/recovery/{index}
/_cat/health
/_cat/pending_tasks
/_cat/aliases
/_cat/aliases/{alias}
/_cat/thread_pool
/_cat/plugins
/_cat/fielddata
/_cat/fielddata/{fields}
shard的移动
curl -XPOST ‘localhost:9200/_cluster/reroute‘ -d ‘{
"commands" : [ {
"move" :
{
"index" : "test_aa_20160529", "shard" : 4,
"from_node" : "node1", "to_node" : "node2"
}
},
{
"allocate" : {
"index" : "test", "shard" : 1, "node" : "node3"
}
}
]
}‘
curl -XPUT 127.0.0.1:9200/_cluster/settings -d ‘
{
"transient": {
"logger.indices.recovery": "DEBUG"
}
}‘
curl -XPUT 127.0.0.1:9200/_cluster/settings -d ‘
{
"transient": {
"cluster.routing.allocation.node_initial_primaries_recoveries": "100"
}
}‘
curl -XPOST ‘127.0.0.1:9200/_cluster/settings‘ -d ‘{
"transient" :
{
"indices.memory.index_buffer_size": "20%"
}
}‘
curl -XPOST ‘127.0.0.1:9200/_cluster/settings‘ -d ‘{
"transient" :
{
"index.indexing.slowlog.level" : "info"
}
}‘
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