Help Center/
MapReduce Service/
Component Operation Guide (Normal)/
Using Spark2x/
Basic Operation/
Scenario-Specific Configuration
Updated on 2022-09-15 GMT+08:00
Scenario-Specific Configuration
- Configuring Multi-active Instance Mode
- Configuring the Multi-tenant Mode
- Configuring the Switchover Between the Multi-active Instance Mode and the Multi-tenant Mode
- Configuring the Size of the Event Queue
- Configuring Executor Off-Heap Memory
- Enhancing Stability in a Limited Memory Condition
- Viewing Aggregated Container Logs on the Web UI
- Configuring Environment Variables in Yarn-Client and Yarn-Cluster Modes
- Configuring the Default Number of Data Blocks Divided by SparkSQL
- Configuring the Compression Format of a Parquet Table
- Configuring the Number of Lost Executors Displayed in WebUI
- Setting the Log Level Dynamically
- Configuring Whether Spark Obtains HBase Tokens
- Configuring LIFO for Kafka
- Configuring Reliability for Connected Kafka
- Configuring Streaming Reading of Driver Execution Results
- Filtering Partitions without Paths in Partitioned Tables
- Configuring Spark2x Web UI ACLs
- Configuring Vector-based ORC Data Reading
- Broaden Support for Hive Partition Pruning Predicate Pushdown
- Hive Dynamic Partition Overwriting Syntax
- Configuring the Column Statistics Histogram to Enhance the CBO Accuracy
- Configuring Local Disk Cache for JobHistory
- Configuring Spark SQL to Enable the Adaptive Execution Feature
- Configuring Event Log Rollover
Parent topic: Basic Operation
Feedback
Was this page helpful?
Provide feedbackThank you very much for your feedback. We will continue working to improve the documentation.
The system is busy. Please try again later.