caneGuy opened a new pull request #23826: [SPARK-26914][SQL] Fix scheduler pool may be unpredictable when we only want to use default pool and do not set spark.scheduler.pool for the session URL: https://github.com/apache/spark/pull/23826 ## What changes were proposed in this pull request? When using fair scheduler mode for thrift server, we may have unpredictable result. `val pool = sessionToActivePool.get(parentSession.getSessionHandle) if (pool != null) { sqlContext.sparkContext.setLocalProperty(SparkContext.SPARK_SCHEDULER_POOL, pool) }` The cause is we use thread pool to execute queries for thriftserver, and when we call setLocalProperty we may have unpredictab behavior. `/** * Set a local property that affects jobs submitted from this thread, such as the Spark fair * scheduler pool. User-defined properties may also be set here. These properties are propagated * through to worker tasks and can be accessed there via * [[org.apache.spark.TaskContext#getLocalProperty]]. * * These properties are inherited by child threads spawned from this thread. This * may have unexpected consequences when working with thread pools. The standard java * implementation of thread pools have worker threads spawn other worker threads. * As a result, local properties may propagate unpredictably. */ def setLocalProperty(key: String, value: String) { if (value == null) { localProperties.get.remove(key) } else { localProperties.get.setProperty(key, value) } }` I post an example on https://jira.apache.org/jira/browse/SPARK-26914 . ## How was this patch tested? UT
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