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Using Spark2x/
Basic Operation/
Scenario-Specific Configuration
Updated on 2022-12-14 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
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