作业：提示和疑难解答Jobs: tips and troubleshooting
这些文章介绍 Azure Databricks 作业。These articles can help you with your Azure Databricks jobs.
- 区分活动作业与不活动作业Distinguish active and dead jobs
- Spark 作业失败，出现错误消息
Driver is temporarily unavailableSpark job fails withDriver is temporarily unavailable - 如何使用 REST API 删除所有作业How to delete all jobs using the REST API
- 作业因作业速率限制而失败Job fails due to job rate limit
- 中断后在覆盖模式下创建表失败Create table in overwrite mode fails when interrupted
- Apache Spark 作业因非确定性自定义 UDF 而挂起Apache Spark Jobs hang due to non-deterministic custom UDF
- Apache Spark 作业失败，显示
Failed to parse byte stringApache Spark job fails withFailed to parse byte string - Apache Spark 作业失败，出现
maxResultSize异常Apache Spark job fails withmaxResultSizeexception - 由于未安装库，Azure Databricks 作业失败Azure Databricks job fails because library is not installed
- Databricks Runtime 5.5 LTS 上的作业失败，出现 SQLAlchemy 包错误Jobs failing on Databricks Runtime 5.5 LTS with an SQLAlchemy package error
- 作业因 Azure Data Lake Storage (ADLS) CREATE 限制而失败Job failure due to Azure Data Lake Storage (ADLS) CREATE limits
- 如何确保作业的幂等性How to ensure idempotency for jobs
- 长时间运行的作业在启用了凭据直通身份验证的群集上出现身份验证失败Long running jobs have authentication failures on clusters with credential passthrough
- 使用作业运行仪表板监视正在运行的作业Monitor running jobs with a Job Run dashboard