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https://issues.apache.org/jira/browse/BEAM-6443?focusedWorklogId=210579&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-210579
]
ASF GitHub Bot logged work on BEAM-6443:
----------------------------------------
Author: ASF GitHub Bot
Created on: 09/Mar/19 17:29
Start Date: 09/Mar/19 17:29
Worklog Time Spent: 10m
Work Description: reuvenlax commented on pull request #7547: [BEAM-6443]
decrease the number of thread for BigQuery streaming inse…
URL: https://github.com/apache/beam/pull/7547#discussion_r264007334
##########
File path:
sdks/java/io/google-cloud-platform/src/main/java/org/apache/beam/sdk/io/gcp/bigquery/BigQueryServicesImpl.java
##########
@@ -1001,4 +1007,141 @@ public void close() {
client.close();
}
}
+
+ private static class BoundedExecutorService implements ExecutorService {
+ private final ExecutorService executor;
+ private final Semaphore semaphore;
+ private final int parallelism;
+
+ BoundedExecutorService(ExecutorService executor, int parallelism) {
+ this.executor = executor;
+ this.parallelism = parallelism;
+ this.semaphore = new Semaphore(parallelism);
+ }
+
+ @Override
+ public void shutdown() {
+ executor.shutdown();
+ }
+
+ @Override
+ public List<Runnable> shutdownNow() {
+ List<Runnable> runnables = executor.shutdownNow();
+ // try to release permits as many as possible before returning
semaphored runnables.
+ synchronized (this) {
+ if (semaphore.availablePermits() <= parallelism) {
+ semaphore.release(Integer.MAX_VALUE - parallelism);
Review comment:
I just want to ensure that this is legal. Releasing more permits than
acquired seems a bit weird, and I'm worried that we will hit some edge case.
Have you verified that this is ok?
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Issue Time Tracking
-------------------
Worklog Id: (was: 210579)
Time Spent: 4.5h (was: 4h 20m)
> decrease the number of threads for BigQuery streaming insertAll
> ---------------------------------------------------------------
>
> Key: BEAM-6443
> URL: https://issues.apache.org/jira/browse/BEAM-6443
> Project: Beam
> Issue Type: Improvement
> Components: io-java-gcp
> Reporter: Heejong Lee
> Assignee: Heejong Lee
> Priority: Major
> Labels: triaged
> Time Spent: 4.5h
> Remaining Estimate: 0h
>
> When inserting (a large number of ) very small elements into BigQuery via
> streaming insertAll, BigQueryIO causes lots of quota exceeded errors. This
> implies that 1) BigQueryIO puts unnecessary overheads on BigQuery API layer
> by sending requests too fast 2) log file becomes very big because of repeated
> same error messages. Currently we use 50 shards for writing data into
> BigQuery and in each bundle 20-30 futures are executed simultaneously with
> unlimited thread pool. It would be worth investigating whether just single
> thread pool is sufficient for running concurrent insertAll.
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