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ASF GitHub Bot logged work on BEAM-9822: ---------------------------------------- Author: ASF GitHub Bot Created on: 19/May/20 20:30 Start Date: 19/May/20 20:30 Worklog Time Spent: 10m Work Description: TheNeuralBit commented on a change in pull request #11529: URL: https://github.com/apache/beam/pull/11529#discussion_r427580795 ########## File path: sdks/java/io/google-cloud-platform/src/test/java/org/apache/beam/sdk/io/gcp/spanner/SpannerIOWriteTest.java ########## @@ -263,6 +263,17 @@ private void verifyBatches(Iterable<Mutation>... batches) { @Test public void noBatching() throws Exception { + + // This test uses a different mock/fake because it explicitly does not want to populate the + // Spanner schema. + FakeServiceFactory fakeServiceFactory = new FakeServiceFactory(); + ReadOnlyTransaction tx = mock(ReadOnlyTransaction.class); + when(fakeServiceFactory.mockDatabaseClient().readOnlyTransaction()).thenReturn(tx); + + // Capture batches sent to writeAtLeastOnce. + when(fakeServiceFactory.mockDatabaseClient().writeAtLeastOnce(mutationBatchesCaptor.capture())) + .thenReturn(null); + Review comment: Actually on second thought I wonder if we should just leave this test completely unchanged (i.e. call `verifyBatches`, don't check that the DB schema is never read). The fact the schema isn't read seems like an implementation detail that we don't need to explicitly verify. What do you think? ---------------------------------------------------------------- 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 Issue Time Tracking ------------------- Worklog Id: (was: 435176) Time Spent: 7h (was: 6h 50m) > 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, 2.21.0 > Reporter: Niel Markwick > Assignee: Niel Markwick > Priority: P2 > Labels: google-cloud-spanner > Fix For: 2.22.0 > > Time Spent: 7h > 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)