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      Help Center/ MapReduce Service/ Component Operation Guide (LTS) (Paris Region)/ Using Spark2x/ Basic Operation/ Scenario-Specific Configuration
      Updated on 2022-12-14 GMT+08:00
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      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 Whether to Display Spark SQL Statements Containing Sensitive Words
      • 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

      Previous topic: Configuring the Client and Server

      Next topic: Configuring Multi-active Instance Mode

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