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FlinkX安装及使用

作者:互联网

FlinkX的安装与简单使用

目录

FlinkX的安装

安装unzip:yum install unzip

1、上传并解压

unzip flinkx-1.10.zip -d /usr/local/soft/

2、配置环境变量

3、给bin/flinkx这个文件加上执行权限

chmod a+x flinkx

4、修改配置文件,设置运行端口

vim flinkconf/flink-conf.yaml
## web服务端口,不指定的话会随机生成一个
rest.bind-port: 8888

FlinkX的简单使用

MySQLToHDFS

{
    "job": {
        "content": [
            {
                "reader": {
                    "parameter": {
                        "username": "root",
                        "password": "123456",
                        "connection": [
                            {
                                "jdbcUrl": [
                                    "jdbc:mysql://master:3306/student?characterEncoding=utf8"
                                ],
                                "table": [
                                    "student"
                                ]
                            }
                        ],
                        "column": [
                            "*"
                        ],
                        "customSql": "",
                        "where": "clazz = '理科二班'",
                        "splitPk": "",
                        "queryTimeOut": 1000,
                        "requestAccumulatorInterval": 2
                    },
                    "name": "mysqlreader"
                },
                "writer": {
                    "name": "hdfswriter",
                    "parameter": {
                        "path": "hdfs://master:9000/data/flinkx/student",
                        "defaultFS": "hdfs://master:9000",
                        "column": [
                            {
                                "name": "col1",
                                "index": 0,
                                "type": "string"
                            },
                            {
                                "name": "col2",
                                "index": 1,
                                "type": "string"
                            },
                            {
                                "name": "col3",
                                "index": 2,
                                "type": "string"
                            },
                            {
                                "name": "col4",
                                "index": 3,
                                "type": "string"
                            },
                            {
                                "name": "col5",
                                "index": 4,
                                "type": "string"
                            },
                            {
                                "name": "col6",
                                "index": 5,
                                "type": "string"
                            }
                        ],
                        "fieldDelimiter": ",",
                        "fileType": "text",
                        "writeMode": "overwrite"
                    }
                }
            }
        ],
        "setting": {
            "restore": {
                "isRestore": false,
                "isStream": false
            },
            "errorLimit": {},
            "speed": {
                "channel": 1
            }
        }
    }
}
flinkx -mode local -job /usr/local/soft/flinkx-1.10/jsonConf/mysqlToHDFS.json -pluginRoot /usr/local/soft/flinkx-1.10/syncplugins/ -flinkconf /usr/local/soft/flinkx-1.10/flinkconf/

flinkx 任务启动后,会在执行命令的目录下生成一个nohup.out文件

tail -f nohup.out
http://master:8888

MySQLToHive

{
    "job": {
        "content": [
            {
                "reader": {
                    "parameter": {
                        "username": "root",
                        "password": "123456",
                        "connection": [
                            {
                                "jdbcUrl": [
                                    "jdbc:mysql://master:3306/student?characterEncoding=utf8"
                                ],
                                "table": [
                                    "student"
                                ]
                            }
                        ],
                        "column": [
                            "*"
                        ],
                        "customSql": "",
                        "where": "clazz = '文科二班'",
                        "splitPk": "id",
                        "queryTimeOut": 1000,
                        "requestAccumulatorInterval": 2
                    },
                    "name": "mysqlreader"
                },
                "writer": {
                    "name": "hivewriter",
                    "parameter": {
                        "jdbcUrl": "jdbc:hive2://master:10000/testflinkx",
                        "username": "",
                        "password": "",
                        "fileType": "text",
                        "fieldDelimiter": ",",
                        "writeMode": "overwrite",
                        "compress": "",
                        "charsetName": "UTF-8",
                        "maxFileSize": 1073741824,
                        "tablesColumn": "{\"student\":[{\"key\":\"id\",\"type\":\"string\"},{\"key\":\"name\",\"type\":\"string\"},{\"key\":\"age\",\"type\":\"string\"}]}",
                        "defaultFS": "hdfs://master:9000"
                    }
                }
            }
        ],
        "setting": {
            "restore": {
                "isRestore": false,
                "isStream": false
            },
            "errorLimit": {},
            "speed": {
                "channel": 3
            }
        }
    }
}
create database testflinkx;
use testflinkx;
CREATE TABLE `student`(
  `id` string, 
  `name` string, 
  `age` string)
PARTITIONED BY ( 
  `pt` string)
ROW FORMAT DELIMITED 
  FIELDS TERMINATED BY ','
# 第一种方式:
hiveserver2
# 第二种方式:
hive --service hiveserver2
flinkx -mode local -job /usr/local/soft/flinkx-1.10/jsonConf/mysqlToHive.json -pluginRoot /usr/local/soft/flinkx-1.10/syncplugins/ -flinkconf /usr/local/soft/flinkx-1.10/flinkconf/

MySQLToHBase

{
    "job": {
        "content": [
            {
                "reader": {
                    "parameter": {
                        "username": "root",
                        "password": "123456",
                        "connection": [
                            {
                                "jdbcUrl": [
                                    "jdbc:mysql://master:3306/student?characterEncoding=utf8"
                                ],
                                "table": [
                                    "score"
                                ]
                            }
                        ],
                        "column": [
                            "*"
                        ],
                        "customSql": "",
                        "splitPk": "student_id",
                        "queryTimeOut": 1000,
                        "requestAccumulatorInterval": 2
                    },
                    "name": "mysqlreader"
                },
                "writer": {
                    "name": "hbasewriter",
                    "parameter": {
                        "hbaseConfig": {
                            "hbase.zookeeper.property.clientPort": "2181",
                            "hbase.rootdir": "hdfs://master:9000/hbase",
                            "hbase.cluster.distributed": "true",
                            "hbase.zookeeper.quorum": "master,node1,node2",
                            "zookeeper.znode.parent": "/hbase"
                        },
                        "table": "testFlinkx",
                        "rowkeyColumn": "$(cf1:student_id)_$(cf1:course_id)",
                        "column": [
                            {
                                "name": "cf1:student_id",
                                "type": "string"
                            },
                            {
                                "name": "cf1:course_id",
                                "type": "string"
                            },
                            {
                                "name": "cf1:score",
                                "type": "string"
                            }
                        ]
                    }
                }
            }
        ],
        "setting": {
            "restore": {
                "isRestore": false,
                "isStream": false
            },
            "errorLimit": {},
            "speed": {
                "channel": 3
            }
        }
    }
}
create 'testFlinkx','cf1'
flinkx -mode local -job /usr/local/soft/flinkx-1.10/jsonConf/mysqlToHBase.json -pluginRoot /usr/local/soft/flinkx-1.10/syncplugins/ -flinkconf /usr/local/soft/flinkx-1.10/flinkconf/

MySQLToMySQL

{
    "job": {
      "content": [
        {
          "reader": {
            "name": "mysqlreader",
            "parameter": {
              "column": [
                {
                  "name": "id",
                  "type": "int"
                },
                {
                  "name": "name",
                  "type": "string"
                },
                {
                  "name": "age",
                  "type": "int"
                },
                {
                  "name": "gender",
                  "type": "string"
                },
                {
                  "name": "clazz",
                  "type": "string"
                }
              ],
              "username": "root",
              "password": "123456",
              "connection": [
                {
                  "jdbcUrl": [
                    "jdbc:mysql://master:3306/student?useSSL=false"
                  ],
                  "table": [
                    "student"
                  ]
                }
              ]
            }
          },
          "writer": {
            "name": "mysqlwriter",
            "parameter": {
              "username": "root",
              "password": "123456",
              "connection": [
                {
                  "jdbcUrl": "jdbc:mysql://master:3306/student?useSSL=false",
                  "table": [
                    "student2"
                  ]
                }
              ],
              "writeMode": "insert",
              "column": [
                {
                    "name": "id",
                    "type": "int"
                  },
                  {
                    "name": "name",
                    "type": "string"
                  },
                  {
                    "name": "age",
                    "type": "int"
                  },
                  {
                    "name": "gender",
                    "type": "string"
                  },
                  {
                    "name": "clazz",
                    "type": "string"
                  }
              ]
            }
          }
        }
      ],
      "setting": {
        "speed": {
          "channel": 1,
          "bytes": 0
        }
      }
    }
  }

标签:name,type,local,FlinkX,student,使用,flinkx,安装,string
来源: https://www.cnblogs.com/Xinyi-bigdata/p/15435633.html