Updated on 2023-09-05 GMT+08:00
Using Spark
- An Error Occurs When the Split Size Is Changed in a Spark Application
- An Error Is Reported When Spark Is Used
- Spark, Hive, and Yarn Unavailable due to Insufficient Disk Capacity
- A Spark Job Fails to Run Due to Incorrect JAR File Import
- Spark Job Suspended Due to Insufficient Memory or Lack of JAR Packages
- An Error Is Reported During Spark Running
- Executor Memory Reaches the Threshold Is Displayed in Driver
- Message "Can't get the Kerberos realm" Is Displayed in Yarn-cluster Mode
- Failed to Start spark-sql and spark-shell Due to JDK Version Mismatch
- ApplicationMaster Failed to Start Twice in Yarn-client Mode
- Failed to Connect to ResourceManager When a Spark Task Is Submitted
- DataArts Studio Failed to Schedule Spark Jobs
- Submission Status of the Spark Job API Is Error
- Alarm 43006 Is Repeatedly Generated in the Cluster
- Failed to Create or Delete a Table in Spark Beeline
- Failed to Connect to the Driver When a Node Outside the Cluster Submits a Spark Job to Yarn
- Large Number of Shuffle Results Are Lost During Spark Task Execution
- Disk Space Is Insufficient Due to Long-Term Running of JDBCServer
- Failed to Load Data to a Hive Table Across File Systems by Running SQL Statements Using Spark Shell
- Spark Task Submission Failure
- Spark Task Execution Failure
- JDBCServer Connection Failure
- Failed to View Spark Task Logs
- Spark Streaming Task Issues
- Authentication Fails When Spark Connects to Other Services
- Authentication Fails When Spark Connects to Kafka
- An Error Occurs When SparkSQL Reads the ORC Table
- Failed to Switch to the Log Page from stderr and stdout on the Native Spark2x Page
- An Error Is Reported When spark-beeline Is Used to Query a Hive View
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