要配置DataX在作业执行失败时发送钉钉通知，您需要按照以下步骤操作： 1. 首先，确保您已经安装了DataX，并且具有执行Python脚本的权限。 2. 在DataX的安装目录下，找到`job`文件夹，然后创建一个名为`dingtalk_notify.py`的Python脚本文件。 3. 编辑`dingtalk_notify.py`文件，添加以下代码： ```python import sys from datax import DataXContext from datax.common.log import LogClient from datax.executor.job import JobExecutor # DataX配置信息 datax_config = { "job": { "setting": { "speed": {"channel": 3}, "errorLimit": {"record": 0, "percentage": 0.02} }, "content": [{ "reader": {"name": "mysqlreader", "parameter": {...}}, "writer": {"name": "streamwriter", "parameter": {...}}, "path": ["your_input_path"], "writerParam": {"outputDir": "your_output_path"}, "tasks": [{"name": "index", "type": "index"}], "cron": "0/5 * * * * ?", "envVar": {}, "encoding": "utf-8" }], "protocol": "http", "bk_url": "your_bk_url", "accessToken": "your_access_token", "secretKey": "your_secret_key", "projectName": "your_project_name", "jobId": "your_job_id", "role": "your_role", "offset": 0, "maxRecordsPerTask": -1, "runtimeMinutes": 60, "triesTimes": 3, "tryNumbers": -1, "successRecords": 1, "failRecords": 0, "batchSize": 10000, "checkMode": False, "successSizeThreshold": 0.02, "failSizeThreshold": 0.02, "retryTimesWhenFailSizeThreshold": 3, "retryIntervalWhenFailSizeThreshold": 10, "printLogInfo": False, "logPath": "/tmp/datax/job/", } } # 读取DataX配置信息 context = DataXContext(datax_config["job"]) client = LogClient(context) job_executor = JobExecutor(context) # 获取日志信息并发送钉钉通知 def send_dingtalk_notification(): job_logs = client.get_job_logs() or [] failed_records = job_logs[-1]["records"] if job_logs and job_logs[-1]["records"] else [] if failed_records: message = f"DataX作业执行失败，失败记录：{failed_records}" job_executor.send_dingtalk_message(message) else: message = f"DataX作业执行成功，总共处理了{len(job_logs)}条数据记录。" job_executor.send_dingtalk_message(message) sys.exit(0) ``` 4. 将`your_input_path`、`your_output_path`、`your_bk_url`、`your_access_token`、`your_secret_key`、`your_project_name`和`your_job_id`替换为您的实际配置信息。 5. 保存文件并运行`dingtalk_notify.py`脚本。如果作业执行失败，您将在钉钉上收到通知。 [2024-01-29 15:14:55 | AI写代码神器 | 925点数解答]