DataX案例，MongoDB数据导入HDFS与MySQL

以下是一个简化的DataX例子，用于从MongoDB导入数据到HDFS和MySQL。

1. 配置文件job-mongodb2hdfs.json：

{
    "job": {
        "setting": {
            "speed": {
                "channel": 1
            }
        },
        "content": [
            {
                "reader": {
                    "name": "mongodbreader",
                    "parameter": {
                        "address": ["mongodb://username:password@localhost:27017"],
                        "db": "test_db",
                        "collection": "test_collection",
                        "column": ["id", "name", "age"]
                    }
                },
                "writer": {
                    "name": "hdfswriter",
                    "parameter": {
                        "path": "/user/hive/warehouse/test_hdfs",
                        "fileName": "imported_from_mongodb",
                        "writeMode": "append",
                        "fieldDelimiter": ","
                    }
                }
            }
        ]
    }
}

2. 配置文件job-mongodb2mysql.json：

{
    "job": {
        "setting": {
            "speed": {
                "channel": 1
            }
        },
        "content": [
            {
                "reader": {
                    "name": "mongodbreader",
                    "parameter": {
                        "address": ["mongodb://username:password@localhost:27017"],
                        "db": "test_db",
                        "collection": "test_collection",
                        "column": ["id", "name", "age"]
                    }
                },
                "writer": {
                    "name": "mysqlwriter",
                    "parameter": {
                        "username": "root",
                        "password": "password",
                        "writeMode": "insert",
                        "connection": [
                            {
                                "jdbcUrl": "jdbc:mysql://localhost:3306/test_db",
                                "table": ["test_table"]
                            }
                        ]
                    }
                }
            }
        ]