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linux下安装ElasticSearch以及简单使用

linux下安装ElasticSearch以及简单使用

作者: 乔治m2 | 来源:发表于2019-06-12 14:22 被阅读0次

    6.0.0版本以上要jdk1.9才能启动,如果不是jdk1.9则会报错:

    OpenJDK 64-Bit Server VM warning: Option UseConcMarkSweepGC was deprecated in version 9.0 and will likely be removed in a future release.

    Ubuntu中启动ElasticSearch报错:max virtual memory areas vm.max_map_count [65530] is too low, increase to a

    • sudo gedit /etc/sysctl.conf

    • 在该文件任意地方加入:vm.max_map_count=655360

    • sudo sysctl -p

    • 重启ES

    linux下启动elasticsearch报错BindTransportException[Failed to bind to [9300-9400]解决办法

    打开配置文件elasticsearch.yml 将 network.host: 192.168.0.1 修改为本机IP 0.0.0.0

    es下载地址sudo wget https://artifacts.elastic.co/downloads/elasticsearch/elasticsearch-5.6.15.zip

    启动命令: sh ./bin/elasticsearch

    1.docker 错误排查:无法进入容器.

    #docker exec -it 3c1d bash
    rpc error: code = 2 desc = oci runtime error: exec failed: container_linux.go:247: starting container process caused "process_linux.go:110: decoding init error from pipe caused \"read parent: connection reset by peer\""   
    **解决**
    
    降低docker容器的版本
    yum downgrade docker docker-client docker-common
    

    2.进入后无法使用vim

    # apt-get update 升级vim
    # apt-get install vim 安装vim
    

    elasticsearch-head的使用

    下载地址https://github.com/mobz/elasticsearch-head/archive/master.zip

    wget https://github.com/mobz/elasticsearch-head/archive/master.zip  #下载
    unzip xxx   #解压
    #进入文件
    npm install   #安装npm
    npm run start #启动它  默认使用9100端口
    

    设置集群

    集群通过节点来绑定到一起cluster.name

    主节点配置master

    http.cors.enabled: true
    http.cors.allow-origin: "*"
    cluster.name: wuli
    node.name: master
    node.master: true
    network.host: 0.0.0.0
    discovery.zen.ping.unicast.hosts: ["192.168.0.101:8300"] # 如过是一台机子,要带端口
    

    奴隶节点的配置

    cluster.name: wali  # 集群的名字
    node.name: slave1   # 当前节点的名字
    network.host: 0.0.0.0   #当前节点的ip地址
    http.port:   # 如果是docker可以不用设置
    discovery.zen.ping.unicast.hosts: ["192.168.0.101:9300"]  # 如过是一台机子,要带端口
    

    利用postman创建索引

    用put方法添加索引

    192.168.0.101:9200/people 方法: put

    {
        "settings": {
            "number_of_shards": 3,  //设置分片数
            "number_of_replicas": 1  //设置备份数
        },
        "mappings": {
            "man": {
                "properties": {
                    "name": {
                        "type": "text"
                    },
                    "country": {
                        "type": "keyword"
                    },
                    "age": {
                        "type": "integer"
                    },
                    "date": {
                        "type": "date",
                        "format": "yyyy-MM-dd HH:mm:ss || yyyy-MM-dd||epoch_millis"
                    }
                }
            }
        }
    }
    

    用put方法添加数据

    192.168.0.101:9200/people/man/3

    {
        "name": "mike",
        "country": "usa",
        "age": 18,
        "date": "1999-10-2"
    }
    

    用delete方法删除索引文档

    192.168.0.101:9200/people/man/3
    删除索引
    192.168.0.101:9200/people

    查询post,get

    192.168.0.101:9200/book/_search

    //查询改索引下所有的数据
    {
        "query": {
            "match_all": {}   
        }
    }
    //模糊查询
    {
        "query": {
            "match": {
                "title": "compur"
            }
        }
    }
    //精确查询
    {
        "query": {
            "match_phrase": {
                "title": "computer科学"
            }
        }
    }
    //多个字段的模糊查询
    {
        "query": {
            "multi_match": {
                "query": "computer",
                "fields": ["title","auther"]
            }
        }
    }
    //语法查询
    {
        "query": {
            "query_string": {
                "query": "computer OR news",
                "fields": ["title","auther"]  //可以写匹配的字段
            }
        }
    }
    //字段查询
    {
        "query": {
            "term": {
                "word_count": 1002
            }
        }
    }
    //范围查询
    {
        "query": {
            "range": {
                "word_count": {
                    "gte": 1000,
                    "lte": 100009
                }
            }
        }
    }
    

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