[
https://issues.apache.org/jira/browse/BEAM-4862?focusedWorklogId=128816&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-128816
]
ASF GitHub Bot logged work on BEAM-4862:
----------------------------------------
Author: ASF GitHub Bot
Created on: 30/Jul/18 17:33
Start Date: 30/Jul/18 17:33
Worklog Time Spent: 10m
Work Description: EricBeach opened a new pull request #6095: [BEAM-4862]
Fixes bug in Spanner's MutationGroupEncoder by converting timestamps into Long
and not Int.
URL: https://github.com/apache/beam/pull/6095
----------------------------------------------------------------
This is an automated message from the Apache Git Service.
To respond to the message, please log on GitHub and use the
URL above to go to the specific comment.
For queries about this service, please contact Infrastructure at:
[email protected]
Issue Time Tracking
-------------------
Worklog Id: (was: 128816)
Time Spent: 2h 20m (was: 2h 10m)
Remaining Estimate: 21h 40m (was: 21h 50m)
> varint overflow -62135596800 exception with Cloud Spanner Timestamp
> 0001-01-01T00:00:00Z
> ----------------------------------------------------------------------------------------
>
> Key: BEAM-4862
> URL: https://issues.apache.org/jira/browse/BEAM-4862
> Project: Beam
> Issue Type: Bug
> Components: io-java-gcp
> Affects Versions: 2.5.0
> Reporter: Eric Beach
> Assignee: Chamikara Jayalath
> Priority: Minor
> Original Estimate: 24h
> Time Spent: 2h 20m
> Remaining Estimate: 21h 40m
>
> tl;dr - If you try to write a Timestamp of value "0001-01-01T00:00:00Z" as a
> Spanner Mutation, you get an overflow error.
>
> The crux of the issue appears to be that 0001-01-01T00:00:00Z, which is a
> valid Timestamp per
> [https://cloud.google.com/spanner/docs/data-types#timestamp-type], is too
> large for an integer. See the two lines of code below.
> [https://github.com/apache/beam/blob/release-2.5.0/sdks/java/io/google-cloud-platform/src/main/java/org/apache/beam/sdk/io/gcp/spanner/MutationGroupEncoder.java#L453]
> [https://github.com/apache/beam/blob/279a05604b83a54e8e5a79e13d8761f94841f326/sdks/java/core/src/main/java/org/apache/beam/sdk/util/VarInt.java#L58]
>
>
> Stack Trade
> {{Caused by: java.io.IOException: varint overflow -62135596800 at
> org.apache.beam.sdk.util.VarInt.decodeInt(VarInt.java:65) at
> org.apache.beam.sdk.io.gcp.spanner.MutationGroupEncoder.decodePrimitive(MutationGroupEncoder.java:453)
> at
> org.apache.beam.sdk.io.gcp.spanner.MutationGroupEncoder.decodeModification(MutationGroupEncoder.java:326)
> at
> org.apache.beam.sdk.io.gcp.spanner.MutationGroupEncoder.decodeMutation(MutationGroupEncoder.java:280)
> at
> org.apache.beam.sdk.io.gcp.spanner.MutationGroupEncoder.decode(MutationGroupEncoder.java:264)
> at
> org.apache.beam.sdk.io.gcp.spanner.SpannerIO$BatchFn.processElement(SpannerIO.java:1030)
> at
> org.apache.beam.sdk.io.gcp.spanner.SpannerIO$BatchFn$DoFnInvoker.invokeProcessElement(Unknown
> Source) at
> org.apache.beam.runners.core.SimpleDoFnRunner.invokeProcessElement(SimpleDoFnRunner.java:185)
> at
> org.apache.beam.runners.core.SimpleDoFnRunner.processElement(SimpleDoFnRunner.java:146)
> at
> com.google.cloud.dataflow.worker.SimpleParDoFn.processElement(SimpleParDoFn.java:323)
> at
> com.google.cloud.dataflow.worker.util.common.worker.ParDoOperation.process(ParDoOperation.java:43)
> at
> com.google.cloud.dataflow.worker.util.common.worker.OutputReceiver.process(OutputReceiver.java:48)
> at
> com.google.cloud.dataflow.worker.GroupAlsoByWindowsParDoFn$1.output(GroupAlsoByWindowsParDoFn.java:181)
> at
> com.google.cloud.dataflow.worker.GroupAlsoByWindowFnRunner$1.outputWindowedValue(GroupAlsoByWindowFnRunner.java:102)
> at
> com.google.cloud.dataflow.worker.util.BatchGroupAlsoByWindowViaIteratorsFn.processElement(BatchGroupAlsoByWindowViaIteratorsFn.java:124)
> at
> com.google.cloud.dataflow.worker.util.BatchGroupAlsoByWindowViaIteratorsFn.processElement(BatchGroupAlsoByWindowViaIteratorsFn.java:53)
> at
> com.google.cloud.dataflow.worker.GroupAlsoByWindowFnRunner.invokeProcessElement(GroupAlsoByWindowFnRunner.java:115)
> at
> com.google.cloud.dataflow.worker.GroupAlsoByWindowFnRunner.processElement(GroupAlsoByWindowFnRunner.java:73)
> at
> com.google.cloud.dataflow.worker.GroupAlsoByWindowsParDoFn.processElement(GroupAlsoByWindowsParDoFn.java:113)
> at
> com.google.cloud.dataflow.worker.util.common.worker.ParDoOperation.process(ParDoOperation.java:43)
> at
> com.google.cloud.dataflow.worker.util.common.worker.OutputReceiver.process(OutputReceiver.java:48)
> at
> com.google.cloud.dataflow.worker.util.common.worker.ReadOperation.runReadLoop(ReadOperation.java:200)
> at
> com.google.cloud.dataflow.worker.util.common.worker.ReadOperation.start(ReadOperation.java:158)
> at
> com.google.cloud.dataflow.worker.util.common.worker.MapTaskExecutor.execute(MapTaskExecutor.java:75)
> at
> com.google.cloud.dataflow.worker.BatchDataflowWorker.executeWork(BatchDataflowWorker.java:391)
> at
> com.google.cloud.dataflow.worker.BatchDataflowWorker.doWork(BatchDataflowWorker.java:360)
> at
> com.google.cloud.dataflow.worker.BatchDataflowWorker.getAndPerformWork(BatchDataflowWorker.java:288)
> at
> com.google.cloud.dataflow.worker.DataflowBatchWorkerHarness$WorkerThread.doWork(DataflowBatchWorkerHarness.java:134)
> at
> com.google.cloud.dataflow.worker.DataflowBatchWorkerHarness$WorkerThread.call(DataflowBatchWorkerHarness.java:114)
> at
> com.google.cloud.dataflow.worker.DataflowBatchWorkerHarness$WorkerThread.call(DataflowBatchWorkerHarness.java:101)
> at java.util.concurrent.FutureTask.run(FutureTask.java:266) at
> java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
> at
> java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
> at java.lang.Thread.run(Thread.java:745)}}
>
--
This message was sent by Atlassian JIRA
(v7.6.3#76005)
