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https://issues.apache.org/jira/browse/BEAM-9822?focusedWorklogId=434673&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-434673
]
ASF GitHub Bot logged work on BEAM-9822:
----------------------------------------
Author: ASF GitHub Bot
Created on: 18/May/20 23:33
Start Date: 18/May/20 23:33
Worklog Time Spent: 10m
Work Description: nielm commented on a change in pull request #11570:
URL: https://github.com/apache/beam/pull/11570#discussion_r426947630
##########
File path:
sdks/java/io/google-cloud-platform/src/main/java/org/apache/beam/sdk/io/gcp/spanner/SpannerIO.java
##########
@@ -1171,67 +1145,127 @@ public void processElement(ProcessContext c) {
* occur, Therefore this DoFn has to be tested in isolation.
*/
@VisibleForTesting
- static class GatherBundleAndSortFn extends DoFn<MutationGroup,
Iterable<KV<byte[], byte[]>>> {
- private final long maxBatchSizeBytes;
- private final long maxNumMutations;
- private final long maxNumRows;
-
- // total size of the current batch.
- private long batchSizeBytes;
- // total number of mutated cells.
- private long batchCells;
- // total number of rows mutated.
- private long batchRows;
+ static class GatherSortCreateBatchesFn extends DoFn<MutationGroup,
Iterable<MutationGroup>> {
+ private final long maxBatchSizeBytes;
+ private final long maxBatchNumMutations;
+ private final long maxBatchNumRows;
+ private final long maxSortableSizeBytes;
+ private final long maxSortableNumMutations;
+ private final long maxSortableNumRows;
private final PCollectionView<SpannerSchema> schemaView;
+ private final ArrayList<MutationGroupContainer> mutationsToSort = new
ArrayList<>();
- private transient ArrayList<KV<byte[], byte[]>> mutationsToSort = null;
+ // total size of MutationGroups in mutationsToSort.
+ private long sortableSizeBytes;
+ // total number of mutated cells in mutationsToSort
+ private long sortableNumCells;
+ // total number of rows mutated in mutationsToSort
+ private long sortableNumRows;
- GatherBundleAndSortFn(
+ GatherSortCreateBatchesFn(
long maxBatchSizeBytes,
long maxNumMutations,
long maxNumRows,
long groupingFactor,
PCollectionView<SpannerSchema> schemaView) {
- this.maxBatchSizeBytes = maxBatchSizeBytes * groupingFactor;
- this.maxNumMutations = maxNumMutations * groupingFactor;
- this.maxNumRows = maxNumRows * groupingFactor;
+ this.maxBatchSizeBytes = maxBatchSizeBytes;
+ this.maxBatchNumMutations = maxNumMutations;
+ this.maxBatchNumRows = maxNumRows;
+
+ if (groupingFactor <= 0) {
+ groupingFactor = 1;
+ }
+
+ this.maxSortableSizeBytes = maxBatchSizeBytes * groupingFactor;
+ this.maxSortableNumMutations = maxNumMutations * groupingFactor;
+ this.maxSortableNumRows = maxNumRows * groupingFactor;
this.schemaView = schemaView;
}
@StartBundle
public synchronized void startBundle() throws Exception {
- if (mutationsToSort == null) {
- initSorter();
- } else {
- throw new IllegalStateException("Sorter should be null here");
- }
+ initSorter();
}
- private void initSorter() {
- mutationsToSort = new ArrayList<KV<byte[], byte[]>>((int)
maxNumMutations);
- batchSizeBytes = 0;
- batchCells = 0;
- batchRows = 0;
+ private synchronized void initSorter() {
Review comment:
> Do we need to mark this as synchronized. Looks like all the callers
are synchronized themselves.
Probably not, but it does not harm.
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Issue Time Tracking
-------------------
Worklog Id: (was: 434673)
Time Spent: 2h 10m (was: 2h)
> 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: 2h 10m
> 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.
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