[GitHub] spark issue #21700: [SPARK-24717][SS] Split out max retain version of state ...
Github user HeartSaVioR commented on the issue: https://github.com/apache/spark/pull/21700 My pleasure. Thanks for spending your time to review thoughtfully and merge this! --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] spark issue #21700: [SPARK-24717][SS] Split out max retain version of state ...
Github user tdas commented on the issue: https://github.com/apache/spark/pull/21700 LGTM! I am merging it! Thank you for all the hard work. And my apologies for not being able to give it time earlier to review it. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
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[GitHub] spark issue #21700: [SPARK-24717][SS] Split out max retain version of state ...
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[GitHub] spark issue #21700: [SPARK-24717][SS] Split out max retain version of state ...
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Github user HeartSaVioR commented on the issue: https://github.com/apache/spark/pull/21700 @tedyu Thanks for the suggestion. Published the result to the mail thread. https://lists.apache.org/thread.html/323ab22fea87c14a2f92e58e7a810aa37cbdf00b9ab81448ee967976@%3Cdev.spark.apache.org%3E I've only written a short summary of the result (since mail may not be a good format to describe detailed numbers rather than markdown) and spend more time to explain the rationalization of my recent issues so that all of them are being covered together. I'll wait more a couple of days, and try to put detailed numbers if things are not started reviewing until then. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
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Github user tedyu commented on the issue: https://github.com/apache/spark/pull/21700 Please publish the above results to the thread where you requested review from committers. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
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Github user HeartSaVioR commented on the issue: https://github.com/apache/spark/pull/21700 I would like to add numbers to pursuade how much this patch is helpful for end users of Apache Spark. I crafted and published a project which implements some stateful use cases with IoT Trucking example. https://github.com/HeartSaVioR/iot-trucking-app-spark-structured-streaming With running apps with I can see that cache (loadedMaps) in HDFSBackedStateStoreProvider consumes much more memory than one version of state. It's not like 10~30% but more than 1500% and even more than 8000% in specific case based on the update ratio of state. (Capturing overall map size of provider requires applying the patch #21469 ) Below table is the result of the query, publishing query status to Kafka topic and query these data via Spark SQL. https://gist.github.com/HeartSaVioR/9d53b39052d4779a4c77e71ff7e989a3 > Before applying the patch (`spark.sql.streaming.minBatchesToRetain` set to default value 100) * stream-stream join (IotTruckingAppJoinedAbnormalEvents.scala) batchId | numRowsTotal | numRowsUpdated | memoryUsedBytes | providerLoadedMapSize | stateExcessLoadingOverheadPercentage -- | -- | -- | -- | -- | -- 319 | 765456 | 2632 | 185499903 | 3307747279 | 17.8315310439811928 * window aggregation (IotTruckingAppMovingAggregationsOnSpeed.scala) batchId | numRowsTotal | numRowsUpdated | memoryUsedBytes | providerLoadedMapSize | stateExcessLoadingOverheadPercentage -- | -- | -- | -- | -- | -- 142 | 184 | 138 | 72103 | 6214927 | 86.1951236425668835 * deduplication (IotTruckingAppDistinctPairDriverAndTruck.scala) batchId | numRowsTotal | numRowsUpdated | memoryUsedBytes | providerLoadedMapSize | stateExcessLoadingOverheadPercentage -- | -- | -- | -- | -- | -- 634 | 598 | 0 | 136279 | 6587839 | 48.3408228707284321 > After applying this patch (`spark.sql.streaming.maxBatchesToRetainInMemory` set to default value 2) * stream-stream join (IotTruckingAppJoinedAbnormalEvents.scala) batchId | numRowsTotal | numRowsUpdated | memoryUsedBytes | providerLoadedMapSize | stateExcessLoadingOverheadPercentage -- | -- | -- | -- | -- | -- 127 | 298452 | 4170 | 71023679 | 84454399 | 1.1891020035726395 * window aggregation (IotTruckingAppMovingAggregationsOnSpeed.scala) batchId | numRowsTotal | numRowsUpdated | memoryUsedBytes | providerLoadedMapSize | stateExcessLoadingOverheadPercentage -- | -- | -- | -- | -- | -- 132 | 184 | 138 | 72319 | 162647 | 2.2490216955433565 * deduplication (IotTruckingAppDistinctPairDriverAndTruck.scala) batchId | numRowsTotal | numRowsUpdated | memoryUsedBytes | providerLoadedMapSize | stateExcessLoadingOverheadPercentage -- | -- | -- | -- | -- | -- 133 | 598 | 0 | 136079 | 227863 | 1.6744905532815497 --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
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Github user HeartSaVioR commented on the issue: https://github.com/apache/spark/pull/21700 @tedyu Thanks for the detailed review comments. Addressed. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
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[GitHub] spark issue #21700: [SPARK-24717][SS] Split out max retain version of state ...
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[GitHub] spark issue #21700: [SPARK-24717][SS] Split out max retain version of state ...
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[GitHub] spark issue #21700: [SPARK-24717][SS] Split out max retain version of state ...
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[GitHub] spark issue #21700: [SPARK-24717][SS] Split out max retain version of state ...
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