Help Center/
MapReduce Service/
Component Operation Guide (Normal)/
Using Spark2x (for MRS 3.x or Later)/
Common Issues About Spark2x/
Spark SQL and DataFrame
Updated on 2025-07-16 GMT+08:00
Spark SQL and DataFrame
- Why Spark SQL Is Displayed as a Temporary Table in Different Databases?
- How to Assign a Parameter Value in a Spark Command?
- What Directory Permissions Do I Need to Create a Table Using SparkSQL?
- Why Do I Fail to Delete the UDF Using Another Service?
- Why Cannot I Query Newly Inserted Data in a Parquet Hive Table Using SparkSQL?
- How to Use Cache Table?
- Why Are Some Partitions Empty During Repartition?
- Why Does 16 Terabytes of Text Data Fails to Be Converted into 4 Terabytes of Parquet Data?
- How Do I Rectify the Exception Occurred When I Perform an Operation on the Table Named table?
- Why Is a Task Suspended When the ANALYZE TABLE Statement Is Executed and Resources Are Insufficient?
- If I Access a parquet Table on Which I Do not Have Permission, Why a Job Is Run Before "Missing Privileges" Is Displayed?
- Why Is "RejectedExecutionException" Displayed When I Exit Spark SQL?
- How Do I Do If I Incidentally Kill the JDBCServer Process During Health Check?
- Why No Result Is found When 2016-6-30 Is Set in the Date Field as the Filter Condition?
- Why Does the --hivevar Option I Specified in the Command for Starting spark-beeline Fail to Take Effect?
- Why Is the "Code of method ... grows beyond 64 KB" Error Message Displayed When I Run Complex SQL Statements?
- Why Is Memory Insufficient if 10 Terabytes of TPCDS Test Suites Are Consecutively Run in Beeline/JDBCServer Mode?
- Why Functions Cannot Be Used When Different JDBCServers Are Connected?
- Why Does an Exception Occur When I Drop Functions Created Using the Add Jar Statement?
- Why Does Spark2x Have No Access to DataSource Tables Created by Spark1.5?
- Why Cannot I Query Newly Inserted Data in an ORC Hive Table Using Spark SQL?
Parent topic: Common Issues About Spark2x
Feedback
Was this page helpful?
Provide feedbackThank you very much for your feedback. We will continue working to improve the documentation.See the reply and handling status in My Cloud VOC.
The system is busy. Please try again later.
For any further questions, feel free to contact us through the chatbot.
Chatbot
