大数据开发治理平台 DataWorks分区表merge 的相关内容

阿里云文档 2026-06-09

使用Check节点检查数据源或实时同步任务是否可用

DataWorks的Check节点可用于检查目标对象（MaxCompute分区表、FTP文件、OSS文件、HDFS文件、OSS_HDFS文件以及实时同步任务）是否可用，当Check节点满足检查策略后会返回运行成功状态。如果某任务的运行依赖目标对象，您可使用Check节点检查目标对象，并设置该任务为Check节点的下游任务，当Check节点满足检查策略后，便会运行成功并触发下游任务执行。本文为您介绍...

阿里云文档 2026-06-02

将MySQL数据写入RANGE分区表或KEY分区表

为了在您使用MySQL处理庞大数据集时优化写入查询性能，本文详细介绍了DataWorks数据集成将数据写入MySQL分区表的最佳实践。

问答 2024-05-29 来自：开发者社区

Dataworks非分区表不支持小时merge如何处理

问答 2023-01-09 来自：开发者社区

Dataworks非分区表设置小时merge，merge失败，

Dataworks非分区表设置小时merge，merge失败，如下图：

共有4条

< 1 >

跳转至： GO

更新时间 2024-05-30 16:43:23

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大数据开发治理平台 DataWorks

DataWorks 是一站式大数据开发治理平台，深度集成 MaxCompute、Flink、Hologres、PAI 等引擎，支持湖仓一体与 Data+AI 场景。通过 Data Agent 实现数据集成、开发、分析到治理的全链路智能提效。

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DataWorks

DataWorks基于MaxCompute/Hologres/EMR/CDP等大数据引擎，为数据仓库/数据湖/湖仓一体等解决方案提供统一的全链路大数据开发治理平台。作为阿里巴巴数据中台的建设者，DataWorks从2009年起不断沉淀阿里巴巴大数据建设方法论，同时与数万名政务/金融/零售/互联网/能源/制造等客户携手，助力产业数字化升级。

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