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Subject [GitHub] [spark] HeartSaVioR commented on a change in pull request #26416: [SPARK-29779][CORE] Compact old event log files and cleanup
Date Tue, 10 Dec 2019 02:58:37 GMT
HeartSaVioR commented on a change in pull request #26416: [SPARK-29779][CORE] Compact old event
log files and cleanup

 File path: docs/
 @@ -1023,6 +1023,24 @@ Apart from these, the following properties are also available, and
may be useful
     The max size of event log file before it's rolled over.
+  <td><code>spark.eventLog.rolling.maxFilesToRetain</code></td>
+  <td>Int.MaxValue</td>
+  <td>
+    The maximum number of event log files which will be retained as non-compacted.
+    By default, all event log files will be retained. Please set the configuration and
+    <code>spark.eventLog.rolling.maxFileSize</code> accordingly if you want to
+    the overall size of event log files. The event log files older than these retained
+    files will be compacted into single file and deleted afterwards.<br/>
+    NOTE 1: Compaction will happen in Spark History Server, which means the same value
+    will be applied across applications which are being loaded in Spark History Server,
+    as well as compaction and cleanup would require running Spark History Server.<br/>
+    NOTE 2: Spark History Server may not compact the old event log files if it figures
+    out compaction on event log for such application won't reduce the size at expected
+    rate threshold. For streaming query (including Structured Streaming) we normally
+    expect compaction will run, but for batch query compaction won't run in most cases.
 Review comment:
   No I don't expect compaction will run for batch query in most cases, as we measure the
acceptance rate and don't run compaction if the rate is low. (That's a new change reflecting
your suggestion.)
   It might be possible if there're multiple "short" batch queries being run in same driver
process, but except jobserver-like one, I'm not sure it's the one of major cases for batch

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