DataX自动化生成配置json,创建ODS表,多线程调度脚本[mysql--＞hive]

以下是一个简化的示例，展示如何使用Python创建一个DataX自动化配置JSON，并使用多线程来执行MySQL到Hive的数据同步任务。

import json
from concurrent.futures import ThreadPoolExecutor
from datax_mysql2hive import DataXMigration
 
# 定义DataX配置生成函数
def generate_datax_json(from_db, from_table, to_db, to_table):
    json_config = {
        "job": {
            "setting": {
                "speed": {
                    "channel": 1
                }
            },
            "content": [
                {
                    "reader": {
                        "name": "mysqlreader",
                        "parameter": {
                            "username": "your_mysql_user",
                            "password": "your_mysql_password",
                            "column": ["*"],
                            "connection": [
                                {
                                    "querySql": [f"select * from {from_db}.{from_table}"],
                                    "jdbcUrl": "jdbc:mysql://your_mysql_host:3306/"
                                }
                            ]
                        }
                    },
                    "writer": {
                        "name": "hdfswriter",
                        "parameter": {
                            "defaultFS": "hdfs://your_hdfs_host:8020",
                            "fileType": "text",
                            "path": f"/user/hive/warehouse/{to_db}.db/{to_table}",
                            "writeMode": "append",
                            "fieldDelimiter": "\t",
                            "compress": "NONE"
                        }
                    }
                }
            ]
        }
    }
    with open(f"{to_table}_datax.json", "w") as f:
        json.dump(json_config, f)
 
# 创建DataX迁移类的实例
datax_migration = DataXMigration()
 
# 定义要迁移的数据库和表
from_db = 'your_mysql_db'
from_table = 'your_mysql_table'
to_db = 'your_hive_db'
to_table = 'your_hive_table'
 
# 生成DataX JSON配置文件
generate_datax_json(from_db, from_table, to_db, to_table)
 
# 启动多线程执行DataX任务
def run_datax(table):
    datax_migration.start(f"{table}_datax.json")
 
# 假设我们有多个表要迁移，我们可以使用线程池来并行处理
tables_to_migrate = ['table1', 'table2', 'table3']
 
with ThreadPoolExecutor(max_workers=3) as executor:
    for table in tables_to_migrate:
        executor.submit(run_datax, table)

这个脚本首先定义了一个生成DataX JSON配置文件的函数，然后创建了DataX迁移类的实例。接着，它定义了要迁移的数据库和表，并调用