Datax実戦-hive同期データmysql

{
 "core": {
        "transport": {
            "channel": {
                "speed": {
                    "record": "10000",
                   "byte": 1048576
                }
            }
        }
    },
        "job": {
                "setting": {
                        "speed": {
                                "channel": 2,
                                "byte":1048576,
                                "record":10000
                        }
                },
                "content": [{
                        "reader": {
                                "name": "hdfsreader",
                                "parameter": {
                                        "path": "/usr/hive/warehouse/reco_train.db/*****/*",
                                        "defaultFS": "hdfs://HDFS*****/",
                                        "column": [{
                                                        "index": 0,
                                                        "type": "string"
                                                },
                                                {
                                                        "index": 1,
                                                        "type": "string"
                                                },
                                                {
                                                        "index": 2,
                                                        "type": "string"
                                                },
                                                {
                                                        "index": 3,
                                                        "type": "string"
                                                }
                                        ],
                                        "fileType": "text",
                                        "encoding": "UTF-8",
                                        "fieldDelimiter": "\u0001",
                                        "hadoopConfig":{
                                                         "dfs.nameservices": "HDFS*****",
                                                         "dfs.ha.namenodes.HDFS*****": "nn1,nn2",
                                                         "dfs.namenode.rpc-address.HDFS*****.nn1": "*****:4007",
                                                         "dfs.namenode.rpc-address.HDFS*****.nn2": "*****:4007",
                                                         "dfs.client.failover.proxy.provider.HDFS*****": "org.apache.hadoop.hdfs.server.namenode.ha.ConfiguredFailoverProxyProvider"
                                                        }
                                }
                        },

                        "writer": {
                                "name": "mysqlwriter",
                                "parameter": {
                                        "writeMode": "insert",
                                        "username": "*****",
                                        "password": "*****",
                                        "column": [
                                                "sku",
                                                "one_category",
                                                "two_category",
                                                "three_category"
                                        ],
                                        "session": [
                                                "set session sql_mode='ANSI'"
                                        ],
                                         "preSql": [
                                                "DELETE FROM *****"
                                        ],
                                        "connection": [{
                                                "jdbcUrl": "jdbc:mysql://*****:3306/databasesName?useUnicode=true&characterEncoding=UTF-8",
                                                "table": [
                                                        "*****"
                                                ]
                                        }]
                                }
                        }
                }]
        }
}