HeartSaVioR commented on a change in pull request #31495: URL: https://github.com/apache/spark/pull/31495#discussion_r572473687
########## File path: sql/core/src/main/scala/org/apache/spark/sql/execution/streaming/HDFSMetadataLog.scala ########## @@ -239,18 +239,35 @@ class HDFSMetadataLog[T <: AnyRef : ClassTag](sparkSession: SparkSession, path: .reverse } + private var lastPurgedBatchId: Long = -1L + /** * Removes all the log entry earlier than thresholdBatchId (exclusive). */ override def purge(thresholdBatchId: Long): Unit = { - val batchIds = fileManager.list(metadataPath, batchFilesFilter) - .map(f => pathToBatchId(f.getPath)) - - for (batchId <- batchIds if batchId < thresholdBatchId) { - val path = batchIdToPath(batchId) - fileManager.delete(path) - logTrace(s"Removed metadata log file: $path") + val possibleTargetBatchIds = (lastPurgedBatchId + 1 until thresholdBatchId) + if (possibleTargetBatchIds.length <= 3) { + // avoid using list if we only need to purge at most 3 elements + possibleTargetBatchIds.foreach { batchId => + val path = batchIdToPath(batchId) + if (fileManager.exists(path)) { Review comment: Looks like adding the check doesn't contribute noticeable latency; before the change (exist -> delete) ``` grep "walCommit took" driver_stderr.log | awk '{print $7}' | head -n 1100 | tail -n 1000 | datamash max 1 min 1 mean 1 median 1 perc:90 1 perc:95 1 perc:99 1 1874 152 242.131 220.5 306 342 654.84 ``` after the change (delete) ``` grep "walCommit took" driver_stderr.log | awk '{print $7}' | head -n 1100 | tail -n 1000 | datamash max 1 min 1 mean 1 median 1 perc:90 1 perc:95 1 perc:99 1 1882 156 252.162 231.5 311 357.2 559.16 ``` but I agree the check is unnecessary. Will remove it. ---------------------------------------------------------------- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. For queries about this service, please contact Infrastructure at: us...@infra.apache.org --------------------------------------------------------------------- To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org