Apache spark执行程序的相关内容

阿里云文档 2025-04-16

通过Apache Airflow提交任务

Apache Airflow是一个强大的工作流程自动化和调度工具，它允许开发者编排、计划和监控数据管道的执行。EMR Serverless Spark为处理大规模数据处理任务提供了一个无服务器计算环境。本文为您介绍如何通过Apache Airflow实现自动化地向EMR Serverless Spark提交任务，以实现作业调度和执行的自动化，帮助您更有效地管理数据处理任务。

阿里云文档 2022-08-22

问题描述Dataphin执行Spark脚本任务，报错“org.apache.spark.sql.AnalysisException: Table or view not found: ...”。解决方案Dataphin的Spark脚本任务，不会对用户的代码进行翻译；需要在任务中直接使用计算源项目名称...

问答 2018-12-21 来自：开发者社区

如何在apache spark中处理执行程序失败

我已经使用spark-submit运行这个工作，而那个时候我们丢失了执行者，我们可以恢复或恢复的某个点，如果恢复我们将如何恢复，以及我们如何取回执行者

问答 2018-12-19 来自：开发者社区

我的SPARK项目（用Java编写）需要跨执行程序访问（SELECT查询结果）不同的表。这个问题的一个解决方案是：我创建了一个tempView选择所需的列使用forEach转换DataFrame为Map。将该映射作为跨执行器的广播变量传递。但是，我发现了有许多复杂的查询，其结果不能直接存储在 Map表格非常大，因此创建Map大尺寸并将其作为广播变量传递给执行者听起来效率不高。相反，我们可以在内存....

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