最近接手了一个老项目，需要部署一套测试环境，下面把在CentOS6上部署Elasticsearch2.2.1.0的过程记录一下

下载并上传到服务器

scp elasticsearch-jdbc-2.2.1.0-dist.zip elasticsearch-2.2.1.tar.gz jdk-8u361-linux-x64.tar.gz 118:/opt/soft_packages

安装jdk

cd /opt/soft_packages
tar -xzvf jdk-8u361-linux-x64.tar.gz -C /usr/local/
cd /usr/local/
ln -s jdk1.8.0_361 jdk
vi /etc/profile
export JAVA_HOME=/usr/local/jdk
export CLASSPATH=.:$JAVA_HOME/jre/lib/rt.jar:$JAVA_HOME/lib/dt.jar:$JAVA_HOME/lib/tools.jar
export PATH=$JAVA_HOME/bin:$PATH

source /etc/profile

配置

cluster.name: my-application
node.name: node-44-9200
node.rack: r9200
action.auto_create_index: true
node.master: true
node.data: true
bootstrap.mlockall: true
network.host: 172.30.222.31
http.cors.enabled: true
http.cors.allow-origin: "*"
#http.basic.enabled: true
#http.basic.user: "admin"
#http.basic.password: "admin"
#http.basic.ipwhitelist: ["172.18.51.104","172.18.51.105"]
http.port: 9200
index.translog.flush_threshold_period: 60s
index.refresh_interval: 30s
indices.memory.index_buffer_size: 50%
indices.memory.min_index_buffer_size: 500m
index.translog.flush_threshold: 30000
index.store.type: mmapfs
index.merge.policy.use_compound_file: false
discovery.zen.ping.unicast.hosts: ["172.30.222.31"]
index:
  analysis:
    tokenizer:
      my_pinyin:
        type: pinyin
        first_letter: prefix
        padding_char: ''
      pinyin_first_letter:
        type: pinyin
        first_letter: only
      mmseg_maxword:
        type: mmseg
        seg_type: max_word
      mmseg_complex:
        type: mmseg
        seg_type: complex
      mmseg_simple:
        type: mmseg
        seg_type: simple
      semicolon_spliter:
        type: pattern
        pattern: ";"
      pct_spliter:
        type: pattern
        pattern: "[%]+"
      ngram_1_to_2:
        type: nGram
        min_gram: 1
        max_gram: 2
      ngram_1_to_3:
        type: nGram
        min_gram: 1
        max_gram: 3
    filter:
      ngram_min_3:
        max_gram: 10
        min_gram: 3
        type: nGram
      ngram_min_2:
        max_gram: 10
        min_gram: 2
        type: nGram
      ngram_min_1:
        max_gram: 10
        min_gram: 1
        type: nGram
      min2_length:
        min: 2
        max: 4
        type: length
      min3_length:
        min: 3
        max: 4
        type: length
      pinyin_first_letter:
        type: pinyin
        first_letter: only
    analyzer:
      lowercase_keyword:
        type: custom
        filter:
        - lowercase
        tokenizer: standard
      lowercase_keyword_ngram_min_size1:
        type: custom
        filter:
        - lowercase
        - stop
        - trim
        - unique
        tokenizer: nGram
      lowercase_keyword_ngram_min_size2:
        type: custom
        filter:
        - lowercase
        - min2_length
        - stop
        - trim
        - unique
        tokenizer: nGram
      lowercase_keyword_ngram_min_size3:
        type: custom
        filter:
        - lowercase
        - min3_length
        - stop
        - trim
        - unique
        tokenizer: ngram_1_to_3
      lowercase_keyword_ngram:
        type: custom
        filter:
        - lowercase
        - stop
        - trim
        - unique
        tokenizer: ngram_1_to_3
      lowercase_keyword_without_standard:
        type: custom
        filter:
        - lowercase
        tokenizer: keyword
      lowercase_whitespace:
        type: custom
        filter:
        - lowercase
        tokenizer: whitespace
      ik:
        alias:
        - ik_analyzer
        type: ik
      ik_max_word:
        type: ik
        use_smart: false
      ik_smart:
        type: ik
        use_smart: true
      mmseg:
        alias:
        - mmseg_analyzer
        type: mmseg
      mmseg_maxword:
        type: custom
        filter:
        - lowercase
        tokenizer: mmseg_maxword
      mmseg_complex:
        type: custom
        filter:
        - lowercase
        tokenizer: mmseg_complex
      mmseg_simple:
        type: custom
        filter:
        - lowercase
        tokenizer: mmseg_simple
      comma_spliter:
        type: pattern
        pattern: "[,|\\s]+"
      pct_spliter:
        type: pattern
        pattern: "[%]+"
      custom_snowball_analyzer:
        type: snowball
        language: English
      simple_english_analyzer:
        type: custom
        tokenizer: whitespace
        filter:
        - standard
        - lowercase
        - snowball
      edge_ngram:
        type: custom
        tokenizer: edgeNGram
        filter:
        - lowercase
      pinyin_ngram_analyzer:
        type: custom
        tokenizer: my_pinyin
        filter:
        - lowercase
        - nGram
        - trim
        - unique
      pinyin_first_letter_analyzer:
        type: custom
        tokenizer: pinyin_first_letter
        filter:
        - standard
        - lowercase
      pinyin_first_letter_keyword_analyzer:
        alias:
        - pinyin_first_letter_analyzer_keyword
        type: custom
        tokenizer: keyword
        filter:
        - pinyin_first_letter
        - lowercase
        type: custom
        tokenizer: path_hierarchy
index.analysis.analyzer.default.type: ik

遇到的问题

解决方法：

因为CentOS6不支持SecComp，而ES默认bootstrap.system_call_filter为true进行检测，所以导致检测失败，失败后直接导致ES不能启动，解决方法：修改elasticsearch.yml添加如下内容：

bootstrap.memory_lock: false
bootstrap.system_call_filter: false