安装Elasticsearch5

新特性

支持lucence 6.x：索引性能提升
新增sliced scroll类型：并发遍历
新增profile API：查询优化
新增reindex：对数据进行重建
新增ingest节点
磁盘空间少一半；索引时间少一半；查询性能提升25%；IPV6也支持了
为什么快，底层使用的是Block k-d trees，核心思想是将数字类型编码成定长的字节数组，对定长的字节数组内容进行编码排序，然后来构建二叉树，然后依次递归构建，目前底层支持8个维度和最多每个维度16个字节，基本满足大部分场景。
等等

安装java

代码语言：javascript复制

tar xf jdk-8u151-linux-x64.tar.gz
vim /etc/profile
export JAVA_HOME=/opt/jdk1.8/
export JAVA_BIN=/opt/jdk1.8/bin
export PATH=${JAVA_HOME}bin:$PATH
export CLASSPATH=.:${JAVA_HOME}/lib/dt.jar:${JAVA_HOME}/lib/tools.jar
source /etc/profile
[root@localhost bin]# java -version
java version "1.8.0_151"
Java(TM) SE Runtime Environment (build 1.8.0_151-b12)
Java HotSpot(TM) 64-Bit Server VM (build 25.151-b12, mixed mode)

创建用户

代码语言：javascript复制

[root@localhost bin]# useradd elk
[root@localhost bin]# echo "vm.max_map_count=262144" >>/etc/sysctl.conf

[root@localhost bin]# vi /etc/security/limits.conf
* soft nofile 65536
* hard nofile 131072
* soft nproc 2048
* hard nproc 4096
[root@localhost local]# vi /etc/security/limits.d/90-nproc.conf 
*          soft    nproc     2048
root       soft    nproc     unlimited
[root@localhost local]# sysctl -p

ERROR: [1] bootstrap checks failed
[1]: system call filters failed to install; check the logs and fix your configuration or disable system call filters at your own risk
解决方法：在elasticsearch.yml中配置bootstrap.system_call_filter为false，注意要在Memory下面:
bootstrap.memory_lock: false
bootstrap.system_call_filter: false
##配置文件
[root@localhost elasticsearch-5.4.1]# cat config/elasticsearch.yml  | grep -v "#"
bootstrap.memory_lock: false
bootstrap.system_call_filter: false
network.host: 128.0.0.101
http.port: 9200

查看安装

代码语言：javascript复制

[root@localhost elasticsearch-5.4.1]# curl 128.0.0.101:9200
{
  "name" : "u9dcelG",
  "cluster_name" : "elasticsearch",
  "cluster_uuid" : "9jO3De99QU-pF9yiO306Aw",
  "version" : {
    "number" : "5.4.1",
    "build_hash" : "2cfe0df",
    "build_date" : "2017-05-29T16:05:51.443Z",
    "build_snapshot" : false,
    "lucene_version" : "6.5.1"
  },
  "tagline" : "You Know, for Search"
}

es2 二叉树

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