HeartSaVioR commented on a change in pull request #25670: [SPARK-28869][CORE]
Roll over event log files
URL: https://github.com/apache/spark/pull/25670#discussion_r325425816
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File path: core/src/main/scala/org/apache/spark/internal/config/package.scala
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@@ -174,6 +174,17 @@ package object config {
private[spark] val EVENT_LOG_CALLSITE_LONG_FORM =
ConfigBuilder("spark.eventLog.longForm.enabled").booleanConf.createWithDefault(false)
+ private[spark] val EVENT_LOG_ENABLE_ROLLING =
+ ConfigBuilder("spark.eventLog.rollLog")
+ .doc("Whether rolling over event log files is enabled.")
+ .booleanConf.createWithDefault(false)
+
+ private[spark] val EVENT_LOG_ROLLED_EVENT_LOG_MAX_FILE_SIZE =
+ ConfigBuilder("spark.eventLog.rollLog.maxFileSize")
+ .doc("The max size of event log file to be rolled over, in KiB unless
otherwise specified.")
+ .bytesConf(ByteUnit.KiB)
+ .createWithDefaultString("10m")
Review comment:
I guess making files smaller would help cleaning up carefully - as we are
dealing with some of GBs of log file (some cases tens of, but I haven't seen
hundreds of). But I also agree default HDFS block size like 128m wouldn't be
too huge.
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