Elasticsearch 简称es,本文以elasticsearch2.3.1为例进行安装。
根据自己的需求,替换 username 和 serverhost 的值。
本地电脑终端 登录服务器并切换至用户目录下:
$ ssh -o ServerAliveInterval=60 username@serverhost
记得输入username对应的password
$ cd ~
$ mkdir ~/app # es相关的bin目录
$ mkdir ~/data/es/logs/ -p # es的log目录
$ mkdir ~/data/es/data/ -p # es的data目录
$ mkdir ~/local # es相关java安装目录
$ mkdir ~/pkgs # es相关安装源文件
$ mkdir ~/workspace # es相关用户工作空间
java
本文以 Linux x64 172.91 MB jdk-8u73-linux-x64.tar.gz
$ cd ~/pkgs
$ wget http://download.oracle.com/otn-pub/java/jdk/8u73-b02/jdk-8u73-linux-x64.tar.gz
$ cp jdk-8u73-linux-x64.tar.gz ~/local
$ cd ~/local
$ tar -zxvf jdk-8u73-linux-x64.tar.gz
$ rm jdk-8u73-linux-x64.tar.gz
如果你在服务器上面无法下载,可以在 本地电脑终端 上面下载后,再通过scp
命令复制到服务器上面的~/pkgs
目录下面。假设当前路径包含已下载 jdk-8u73-linux-x64.tar.gz,执行以下命令:
$ scp jdk-8u73-linux-x64.tar.gz username@serverhost:~/pkgs
执行scp命令后,记得username对应输入password!
紧接着,在服务器上面配置java的环境变量。
$ cd ~/local
$ cd jdk1.8.0_77
$ pwd
/home/elasticsearch/local/jdk1.8.0_77
$ vim ~/.bash_profile
在 .bash_profile 中添加:
JAVA_HOME=$HOME/local/jdk1.8.0_77
export JAVA_HOME
CLASSPATH=.:$JAVA_HOME/lib
export CLASSPATH
退出并保持修改,使修改立即生效。
$ source ~/.bash_profile
$ java -version
java version "1.8.0_77"
Java(TM) SE Runtime Environment (build 1.8.0_77-b03)
Java HotSpot(TM) 64-Bit Server VM (build 25.77-b03, mixed mode)
elasticsearch下载
下载最新包并解压到~/app
修改elasticsearch配置
$ cd ~/app/elasticsearch-2.3.1/config
$ vim elasticsearch.yml
在elasticsearch.yml中修改:
path.data: /home/elasticsearch/data/es/data
path.logs: /home/elasticsearch/data/es/logs
cluster.name: yourawesomename
bootstrap.mlockall: true
discovery.zen.minimum_master_nodes: 1
http.port: 9200
network.host: 0.0.0.0
discovery.zen.ping.unicast.hosts: ["yourserverhost"]
根据自己的需求,替换 cluster.name 和 discovery.zen.ping.unicast.hosts值,保存并退出。
官网
a. 下载
b. 本地 解压并打包
$ tar -zxvf elasticsearch-analysis-ik-1.9.1.tar.gz
$ cd elasticsearch-analysis-ik-1.9.1
$ mvn package
c. 服务器上创建 ik 文件夹
$ mkdir ~/app/elasticsearch-2.3.1/plugins/ik -p
d. 上传 本地 打包文件到服务器 ik 文件夹并解压
$ scp target/releases/elasticsearch-analysis-ik-1.9.1.zip username@serverhost:~/app/elasticsearch-2.3.1/plugins/ik
记得输入username对应的password
$ unzip elasticsearch-analysis-ik-1.9.0.zip
$ rm elasticsearch-analysis-ik-1.9.0.zip
$ cd ~/app/
$ wget http://xbib.org/repository/org/xbib/elasticsearch/importer/elasticsearch-jdbc/2.3.1.0/elasticsearch-jdbc-2.3.1.0-dist.zip
$ unzip elasticsearch-jdbc-2.3.1.0-dist.zip
$ rm elasticsearch-jdbc-2.3.1.0-dist.zip
官网
$ cd ~/app
$ elasticsearch-2.3.1/bin/plugin install mobz/elasticsearch-head
$ cd ~/app/elasticsearch-2.3.1
$ ./bin/elasticsearch -d
根据自己的需求,替换index_v1, solution.
创建索引
curl -XPUT localhost:9200/index_v1?pretty -d @index_v1.json
index_v1.json中的内容如下所示:
{
"mappings":
{
"solution": {
"_all": {
"analyzer": "ik_smart",
"search_analyzer": "ik_smart",
"term_vector": "no",
"store": "false"
},
"properties": {
"btype": {
"type": "string",
"index": "not_analyzed"
},
"title": {
"type": "string",
"store": "yes",
"term_vector": "with_positions_offsets",
"analyzer": "ik_smart",
"search_analyzer": "ik_smart",
"include_in_all": "true",
"boost": 8
},
"update_time": {
"type": "date",
"store": "yes",
"format": "dateOptionalTime"
}
}
}
}
}
定义索引别名
curl -XPOST localhost:9200/_aliases -d '
{
"actions": [
{ "add": {
"alias": "myindex",
"index": "index_v1"
}}
]
}'
服务器上导入数据库数据
$ cd ~/app/elasticsearch-jdbc-2.3.1.0/bin
$ touch index_v1.sh
$ vim index_v1.sh
根据实际情况修改mysql的host:port/database, user, password, sql.
#!/bin/sh
DIR="$( cd "$( dirname "${BASH_SOURCE[0]}" )" && pwd )"
bin=${DIR}/../bin
lib=${DIR}/../lib
echo '
{
"type" : "jdbc",
"jdbc" : {
"elasticsearch" : {
"cluster" : "yourawesomename",
"host" : "localhost",
"port" : 9300
},
"url" : "jdbc:mysql://host:port/database",
"user" : "tester",
"password" : "12345678",
"sql" : "select id as _id,type as btype,title,update_time from dbtable",
"index" : "index_v1",
"type" : "solution",
"index_settings" : {
"index" : {
"number_of_shards" : 1
}
}
}
}
' | java \
-cp "${lib}/*" \
-Dlog4j.configurationFile=${bin}/log4j2.xml \
org.xbib.tools.Runner \
org.xbib.tools.JDBCImporter
保存并退出, index_v1.sh; 执行导入数据库脚本index_v1.sh
$ sh index_v1.sh
数据导入耗时依据导入的数据量,导入完成后不会输入任何信息。
需求更改
curl -XPUT localhost:9200/index_v2 -d @index_v2.json
移除index_v1
curl -XPOST localhost:9200/_aliases -d '
{
"actions": [
{ "remove": {
"alias": "myindex",
"index": "index_v1"
}},
{ "add": {
"alias": "myindex",
"index": "index_v2"
}}
]
}'
删除 index_v1
curl -XDELETE localhost:9200/index_v1
管理员权限,更改open files 为65536。
$ ulimit -a
core file size (blocks, -c) 0
data seg size (kbytes, -d) unlimited
scheduling priority (-e) 0
file size (blocks, -f) unlimited
pending signals (-i) 127455
max locked memory (kbytes, -l) unlimited
max memory size (kbytes, -m) unlimited
open files (-n) 65536
pipe size (512 bytes, -p) 8
POSIX message queues (bytes, -q) 819200
real-time priority (-r) 0
stack size (kbytes, -s) 10240
cpu time (seconds, -t) unlimited
max user processes (-u) 1024
virtual memory (kbytes, -v) unlimited
file locks (-x) unlimited
管理员权限,更改/etc/security/limits.conf
, for example:
# allow user 'elasticsearch' mlockall
elasticsearch soft memlock unlimited
elasticsearch hard memlock unlimited
在.bash_profile
添加
export ES_HEAP_SIZE=1g # 更具实际情况设置 free -m查看使用情况
source .bash_profile # 立即生效。
设置请求批量请求的 [文档大小](
https://www.elastic.co/guide/en/elasticsearch/guide/master/indexing-performance.html#_using_and_sizing_bulk_requests)