config/elasticsearch.yml

# ======================== Elasticsearch Configuration =========================
#
# NOTE: Elasticsearch comes with reasonable defaults for most settings.
#       Before you set out to tweak and tune the configuration, make sure you
#       understand what are you trying to accomplish and the consequences.
#
# The primary way of configuring a node is via this file. This template lists
# the most important settings you may want to configure for a production cluster.
#
# Please consult the documentation for further information on configuration options:
# https://www.elastic.co/guide/e ... .html
#
# ---------------------------------- Cluster -----------------------------------
#
# Use a descriptive name for your cluster:
#
#cluster.name: my-application
cluster.name: es5_dev
#
# ------------------------------------ Node ------------------------------------
#
# Use a descriptive name for the node:
#
#node.name: node-1
node.name: es5-node03
#
# Add custom attributes to the node:
#
#node.attr.rack: r1
#
# ----------------------------------- Paths ------------------------------------
#
# Path to directory where to store the data (separate multiple locations by comma):
#
#path.data: /path/to/data
#
# Path to log files:
#
#path.logs: /path/to/logs
#
# ----------------------------------- Memory -----------------------------------
#
# Lock the memory on startup:
#
#bootstrap.memory_lock: true
bootstrap.memory_lock: true
#
# Make sure that the heap size is set to about half the memory available
# on the system and that the owner of the process is allowed to use this
# limit.
#
# Elasticsearch performs poorly when the system is swapping the memory.
#
# ---------------------------------- Network -----------------------------------
#
# Set the bind address to a specific IP (IPv4 or IPv6):
#
#network.host: 192.168.0.1
network.host: ["127.0.0.1","10.204.12.33"]
http.port: 9201
transport.tcp.port: 9301
#http.host: 127.0.0.1
#http.enabled: false
#
# Set a custom port for HTTP:
#
#http.port: 9200
#
# For more information, consult the network module documentation.
#
# --------------------------------- Discovery ----------------------------------
#
# Pass an initial list of hosts to perform discovery when new node is started:
# The default list of hosts is ["127.0.0.1", "[::1]"]
#
#discovery.zen.ping.unicast.hosts: ["host1", "host2"]
node.master: true
node.data: true
discovery.zen.minimum_master_nodes: 1
discovery.zen.ping.unicast.hosts:
   - 10.204.12.31:9301
   - 10.204.12.32:9301
   - 10.204.12.33:9301
#
# Prevent the "split brain" by configuring the majority of nodes (total number of master-eligible nodes / 2 + 1):
#
#discovery.zen.minimum_master_nodes: 3
#
# For more information, consult the zen discovery module documentation.
#
# ---------------------------------- Gateway -----------------------------------
#
# Block initial recovery after a full cluster restart until N nodes are started:
#
#gateway.recover_after_nodes: 3
#
# For more information, consult the gateway module documentation.
#
# ---------------------------------- Various -----------------------------------
#
# Require explicit names when deleting indices:
#
#action.destructive_requires_name: true
indices.requests.cache.size: 5%
config/jvm.options

## JVM configuration
################################################################
## IMPORTANT: JVM heap size
################################################################
##
## You should always set the min and max JVM heap
## size to the same value. For example, to set
## the heap to 4 GB, set:
##
## -Xms4g
## -Xmx4g
##
## See https://www.elastic.co/guide/e ... .html
## for more information
##
################################################################
# Xms represents the initial size of total heap space
# Xmx represents the maximum size of total heap space
-Xms2g
-Xmx2g
################################################################
## Expert settings
################################################################
##
## All settings below this section are considered
## expert settings. Don't tamper with them unless
## you understand what you are doing
##
################################################################
## GC configuration
-XX:+UseConcMarkSweepGC
-XX:CMSInitiatingOccupancyFraction=75
-XX:+UseCMSInitiatingOccupancyOnly
## optimizations
# pre-touch memory pages used by the JVM during initialization
-XX:+AlwaysPreTouch
## basic
# force the server VM (remove on 32-bit client JVMs)
-server
# explicitly set the stack size (reduce to 320k on 32-bit client JVMs)
-Xss1m
# set to headless, just in case
-Djava.awt.headless=true
# ensure UTF-8 encoding by default (e.g. filenames)
-Dfile.encoding=UTF-8
# use our provided JNA always versus the system one
-Djna.nosys=true
# use old-style file permissions on JDK9
-Djdk.io.permissionsUseCanonicalPath=true
# flags to configure Netty
-Dio.netty.noUnsafe=true
-Dio.netty.noKeySetOptimization=true
-Dio.netty.recycler.maxCapacityPerThread=0
# log4j 2
-Dlog4j.shutdownHookEnabled=false
-Dlog4j2.disable.jmx=true
-Dlog4j.skipJansi=true
## heap dumps
# generate a heap dump when an allocation from the Java heap fails
# heap dumps are created in the working directory of the JVM
-XX:+HeapDumpOnOutOfMemoryError
# specify an alternative path for heap dumps
# ensure the directory exists and has sufficient space
#-XX:HeapDumpPath=${heap.dump.path}
## GC logging
#-XX:+PrintGCDetails
#-XX:+PrintGCTimeStamps
#-XX:+PrintGCDateStamps
#-XX:+PrintClassHistogram
#-XX:+PrintTenuringDistribution
#-XX:+PrintGCApplicationStoppedTime
# log GC status to a file with time stamps
# ensure the directory exists
#-Xloggc:${loggc}
# By default, the GC log file will not rotate.
# By uncommenting the lines below, the GC log file
# will be rotated every 128MB at most 32 times.
#-XX:+UseGCLogFileRotation
#-XX:NumberOfGCLogFiles=32
#-XX:GCLogFileSize=128M
# Elasticsearch 5.0.0 will throw an exception on unquoted field names in JSON.
# If documents were already indexed with unquoted fields in a previous version
# of Elasticsearch, some operations may throw errors.
#
# WARNING: This option will be removed in Elasticsearch 6.0.0 and is provided
# only for migration purposes.
#-Delasticsearch.json.allow_unquoted_field_names=true



安装ik分词器


bin/elasticsearch-plugin install https://github.com/medcl/elast ... 1.zip




./bin/elasticsearch-plugin install https://github.com/medcl/elast ... 3.zip



配置ik远程扩展词典用于热词更新　elasticsearch-5.6.3/config/analysis-ik/IKAnalyzer.cfg.xml

<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE properties SYSTEM "http://java.sun.com/dtd/properties.dtd&quot;&gt;
<properties>
       <comment>IK Analyzer 扩展配置</comment>
       <!--用户可以在这里配置自己的扩展字典 -->
       <entry key="ext_dict"></entry>
        <!--用户可以在这里配置自己的扩展停止词字典-->
       <entry key="ext_stopwords"></entry>
       <!--用户可以在这里配置远程扩展字典 -->
       <entry key="remote_ext_dict">http://distribute.search.leju. ... gt%3B
       <!--用户可以在这里配置远程扩展停止词字典-->
       <!-- <entry key="remote_ext_stopwords">words_location</entry> -->
</properties>
安装拼音分词器

cd elasticsearch-5.5.1/plugins
wget https://github.com/medcl/elast ... 5.5.1
unzip v5.5.1




打包部署其他节点时，先清理data目录




集群监控可以利用head的chrome插件




数据迁移

迁移工具是自己写的elasticbak，目前更新了5.6.3驱动。github链接：https://github.com/jiashiwen/elasticbak。

数据备份

java -jar elasticbak-2.3.3.jar \
--exp \
--cluster lejuesdev \
--host 10.204.12.31 \
--filesize 1000 \
--backupdir ./esbackupset \
--backupindexes "*" \
--threads 4
由于版本field的变化需要手工重建索引，这里举个例子，主要是2.x版本的string需要改为text。2.x版本我们通过index参数指定该字段是否被索引("index": "no")以及是否通过分词器分词("index": "not_analyzed")。在5.X版本里index只用来制定是否创建索引，如果需要整个字段不过分词器创建索引，需要通过keyword字段完成。  

 

curl -XPUT "http://10.204.12.31:9201/house_geo&quot; -H 'Content-Type: application/json' -d'
{
 "mappings": {
   "house": {
     "dynamic": "strict",
     "_all": {
       "enabled": false
     },
     "properties": {
       "_category": {
         "type": "keyword",
                 "store": true
       },
       "_content": {
         "type": "text",
         "store": true,
         "analyzer": "ik_max_word",
         "search_analyzer": "ik_smart"
       },
       "_deleted": {
         "type": "boolean",
         "store": true
       },
       "_doccreatetime": {
         "type": "date",
         "store": true,
         "format": "strict_date_optional_time||epoch_millis||yyyy/MM/dd HH:mm:ss||yyyy/MM/dd"
       },
       "_docupdatetime": {
         "type": "date",
         "store": true,
         "format": "strict_date_optional_time||epoch_millis||yyyy/MM/dd HH:mm:ss||yyyy/MM/dd"
       },
       "_flags": {
         "type": "text",
         "store": true,
         "analyzer": "whitespace"
       },
       "_hits": {
         "type": "text"
       },
       "_location": {
         "type": "geo_point"
       },
       "_multi": {
         "properties": {
           "_location": {
             "type": "geo_point"
           }
         }
       },
       "_origin": {
         "type": "object",
         "enabled": false
       },
       "_scope": {
         "type": "keyword",
         "store": true
       },
       "_tags": {
         "type": "text",
         "boost": 10,
         "store": true,
         "term_vector": "with_positions_offsets",
         "analyzer": "ik_max_word",
         "search_analyzer": "ik_smart"
       },
       "_title": {
         "type": "text",
         "store": true,
         "analyzer": "ik_max_word",
         "search_analyzer": "ik_smart"
       },
       "_uniqid": {
         "type": "keyword",
         "store": true
       },
       "_uniqsign": {
         "type": "keyword",
         "store": true
       },
       "_url": {
         "type": "text",
         "index": false,
         "store": true
       },
       "location": {
         "type": "geo_point"
       }
     }
   }
 },
 "settings": {
   "index": {
     "number_of_shards": "3",
     "requests": {
       "cache": {
         "enable": "true"
       }
     },
     "analysis": {
       "filter": {
         "my_synonym": {
           "type": "synonym",
           "synonyms_path": "analysis-ik/custom/synonym.dic"
         }
       },
       "analyzer": {
         "searchanalyzer": {
           "filter": "my_synonym",
           "type": "custom",
           "tokenizer": "ik_smart"
         },
         "indexanalyzer": {
           "filter": "my_synonym",
           "type": "custom",
           "tokenizer": "ik_max_word"
         }
       }
     },
     "number_of_replicas": "1"
   }
 }
}'
利用新版elasticbak导入索引数据


java -jar elasticbak-5.6.3.jar \
--imp \
--cluster es5_dev \
--host 10.204.12.31 \
--port 9301 \
--restoreindex house_geo \
--restoretype dataonly \
--backupset esbackupset/house_geo \
--threads 4
 

1、使用于商业智能的复杂模型建模教程
http://t.cn/Rj2uLh9
2、logstash配置文件的vscode插件，从其编辑配置文件不再发愁。
http://t.cn/Rj21ncE
3、elk告警插件sentinl。随着版本的更新,目前已经可以媲美x-pack的reporter以及watcher。
http://t.cn/Rj216Ef
4、只等你来 | Elastic Meetup 广州交流会
https://elasticsearch.cn/article/364 

编辑：cyberdak
归档：https://elasticsearch.cn/article/372
订阅：https://tinyletter.com/elastic-daily

1. (自备梯子)推荐三个数据库相关(MySQL,MongoDB,Elasticsearch)的课程。
http://t.cn/RjPvlq1
2. 将 ELASTICSEARCH 写入速度优化到极限
http://t.cn/RWs8yvS
3. 零点之战！探访阿里巴巴8大技术专家，提前揭秘2017双11关键技术。
http://t.cn/RjPPzGc
4. 只等你来 | Elastic Meetup 广州交流会
https://elasticsearch.cn/article/364

编辑：至尊宝
归档：https://elasticsearch.cn/article/371
订阅：https://tinyletter.com/elastic-daily

[原文链接](https://segmentfault.com/a/1190000011966008)

距离上一篇 [esrally 教程](https://segmentfault.com/a/1190000011174694)过去快2个月了，这期间不停有同学来询问使用中遇到的问题，尤其由于其测试数据存储在国外 aws 上，导致下载极慢。为了让大家快速上手使用 esrally，我 build 了一个可用的 docker 镜像，然后将 13GB 的测试数据拉取到国内的存储上，通过百度网盘的方式分享给大家。大家只要按照下面简单的几步操作就可以顺畅地使用 esrally 来进行相关测试了。

操作步骤

废话不多说，先上菜！

1. 拉取镜像
   `<br /> docker pull rockybean/esrally<br />
   
2. 下载数据文件 链接:http://pan.baidu.com/s/1eSrjZgA 密码:aagl
   
3. 进入下载后的文件夹 rally_track,执行如下命令开始测试
   <br /> docker run -it -v $(PWD):/root/track rockybean/esrally esrally race --track-path=/root/track/logging --offline --pipeline=benchmark-only --target-hosts=192.168.1.105:9200<br />
   
   打完收工！
   
   

   几点说明
   

   
   

   数据文件介绍
   

   esrally 自带的测试数据即为 rally_track 文件夹中的内容，主要包括:
   
   

   • Geonames(geonames): for evaluating the performance of structured data.
     
   • Geopoint(geopoint): for evaluating the performance of geo queries.
     
   • Percolator(percolator): for evaluating the performance of percolation queries.
     
   • PMC(pmc): for evaluating the performance of full text search.
     
   • NYC taxis(nyc_taxis): for evaluating the performance for highly structured data.
     
   • Nested(nested): for evaluating the performance for nested documents.
     
   • Logging(logging): for evaluating the performance of (Web) server logs.
     
   • noaa(noaa): for evaluating the performance of range fields.
     
     可以根据自己的需要下载对应的测试数据，不必下载全部，保证对应文件夹下载完全即可。
     
     
     

     命令解释
     

     
     

     docker 相关
     

     docker run -it rockybean/esrally esrally 为执行的 esrally 命令，-v $(PWD):/root/track是将 rally_docker 文件夹映射到 docker 容器中，$(PWD)是获取当前目录的意思，所以在此前要 cd 到 rally_docker 目录，当然你写全路径也是没有问题的。
     
     esrally 的 docker 镜像比较简单，可以参看 [ github 项目介绍][1]。
     
     

     esrally 相关
     

     该镜像是通过自定义 track 的方式来加载数据，所以命令行中用到 --track=/root/track/logging 的命令行参数。注意这里的 /root/track 即上面我们绑定到容器的目录，更换 logging 为其他的数据集名称即可加载其他的测试数据。
     
     该容器只支持测试第三方 es 集群，即 --pipeline=benchmark-only 模式。这应该也是最常见的压测需求了。
     
     
     愉快地去玩耍吧！
     
     
     
     
     [1]: https://github.com/rockybean/esrally-docker