[ https://issues.apache.org/jira/browse/SPARK-46681?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
ASF GitHub Bot updated SPARK-46681: ----------------------------------- Labels: pull-request-available (was: ) > Refactor `ExecutorFailureTracker#maxNumExecutorFailures` to avoid unnecessary > computations when `MAX_EXECUTOR_FAILURES` is configured > ------------------------------------------------------------------------------------------------------------------------------------- > > Key: SPARK-46681 > URL: https://issues.apache.org/jira/browse/SPARK-46681 > Project: Spark > Issue Type: Improvement > Components: Spark Core > Affects Versions: 4.0.0 > Reporter: Yang Jie > Priority: Minor > Labels: pull-request-available > > {code:java} > def maxNumExecutorFailures(sparkConf: SparkConf): Int = { > val effectiveNumExecutors = > if (Utils.isStreamingDynamicAllocationEnabled(sparkConf)) { > sparkConf.get(STREAMING_DYN_ALLOCATION_MAX_EXECUTORS) > } else if (Utils.isDynamicAllocationEnabled(sparkConf)) { > sparkConf.get(DYN_ALLOCATION_MAX_EXECUTORS) > } else { > sparkConf.get(EXECUTOR_INSTANCES).getOrElse(0) > } > // By default, effectiveNumExecutors is Int.MaxValue if dynamic allocation > is enabled. We need > // avoid the integer overflow here. > val defaultMaxNumExecutorFailures = math.max(3, > if (effectiveNumExecutors > Int.MaxValue / 2) Int.MaxValue else 2 * > effectiveNumExecutors) > > sparkConf.get(MAX_EXECUTOR_FAILURES).getOrElse(defaultMaxNumExecutorFailures) > } {code} > The result of defaultMaxNumExecutorFailures is calculated first, even if > {{MAX_EXECUTOR_FAILURES}} is configured now > > > > > -- This message was sent by Atlassian Jira (v8.20.10#820010) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org