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ASF GitHub Bot logged work on BEAM-9822: ---------------------------------------- Author: ASF GitHub Bot Created on: 29/Apr/20 15:20 Start Date: 29/Apr/20 15:20 Worklog Time Spent: 10m Work Description: nielm opened a new pull request #11570: URL: https://github.com/apache/beam/pull/11570 There is minimal benefit in separating these 2 stages, and significant benefity in merging them: Gather and Sort encodes incoming MutationGroups into a List<byte[]> which would contain up to 1GB. This is then output (copied) to the CreateBatches where it is decoded back into MutationGroups. Removing this encode/decode should save up to 2GB of RAM. Note, this PR is dependent on PR #11528, PR #11532 and PR #11529 Post-Commit Tests Status (on master branch) ------------------------------------------------------------------------------------------------ Lang | SDK | Apex | Dataflow | Flink | Gearpump | Samza | Spark --- | --- | --- | --- | --- | --- | --- | --- Go | [![Build Status](https://builds.apache.org/job/beam_PostCommit_Go/lastCompletedBuild/badge/icon)](https://builds.apache.org/job/beam_PostCommit_Go/lastCompletedBuild/) | --- | --- | [![Build Status](https://builds.apache.org/job/beam_PostCommit_Go_VR_Flink/lastCompletedBuild/badge/icon)](https://builds.apache.org/job/beam_PostCommit_Go_VR_Flink/lastCompletedBuild/) | --- | --- | [![Build Status](https://builds.apache.org/job/beam_PostCommit_Go_VR_Spark/lastCompletedBuild/badge/icon)](https://builds.apache.org/job/beam_PostCommit_Go_VR_Spark/lastCompletedBuild/) Java | [![Build 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For queries about this service, please contact Infrastructure at: us...@infra.apache.org Issue Time Tracking ------------------- Worklog Id: (was: 428613) Time Spent: 0.5h (was: 20m) > SpannerIO: Reduce memory usage - especially when streaming > ---------------------------------------------------------- > > Key: BEAM-9822 > URL: https://issues.apache.org/jira/browse/BEAM-9822 > Project: Beam > Issue Type: Bug > Components: io-java-gcp > Affects Versions: 2.20.0 > Reporter: Niel Markwick > Priority: Major > Labels: google-cloud-spanner > Fix For: 2.21.0 > > Time Spent: 0.5h > Remaining Estimate: 0h > > SpannerIO uses a lot of memory. > In Streaming Dataflow, it uses many times as much (because dataflow creates > many worker threads) > Lower the memory use, and change default parameters during streaming to use > smaller batches and disable grouping. -- This message was sent by Atlassian Jira (v8.3.4#803005)