[
https://issues.apache.org/jira/browse/BEAM-6841?focusedWorklogId=220668&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-220668
]
ASF GitHub Bot logged work on BEAM-6841:
----------------------------------------
Author: ASF GitHub Bot
Created on: 29/Mar/19 19:07
Start Date: 29/Mar/19 19:07
Worklog Time Spent: 10m
Work Description: chamikaramj commented on pull request #8061:
[BEAM-6841] Add support for reading query results using the BigQuery storage
API.
URL: https://github.com/apache/beam/pull/8061#discussion_r270517951
##########
File path:
sdks/java/io/google-cloud-platform/src/main/java/org/apache/beam/sdk/io/gcp/bigquery/BigQueryIO.java
##########
@@ -914,6 +933,181 @@ void cleanup(PassThroughThenCleanup.ContextContainer c)
throws Exception {
return rows.apply(new PassThroughThenCleanup<>(cleanupOperation,
jobIdTokenView));
}
+ private PCollection<T> expandForDirectRead(PBegin input, Coder<T>
outputCoder) {
+ ValueProvider<TableReference> tableProvider = getTableProvider();
+ Pipeline p = input.getPipeline();
+ if (tableProvider != null) {
+ // No job ID is required. Read directly from BigQuery storage.
+ return p.apply(
+ org.apache.beam.sdk.io.Read.from(
+ BigQueryStorageTableSource.create(
+ tableProvider,
+ getReadOptions(),
+ getParseFn(),
+ outputCoder,
+ getBigQueryServices())));
+ }
+
+ checkArgument(
+ getReadOptions() == null,
+ "Invalid BigQueryIO.Read: Specifies table read options, "
+ + "which only applies when reading from a table");
+
+ //
+ // N.B. All of the code below exists because the BigQuery storage API
can't (yet) read from
+ // all anonymous tables, so we need the job ID to reason about the name
of the destination
+ // table for the query to read the data and subsequently delete the
table and dataset. Once
+ // the storage API can handle anonymous tables, the storage source
should be modified to use
+ // anonymous tables and all of the code related to job ID generation and
table and dataset
+ // cleanup can be removed.
+ //
+
+ PCollectionView<String> jobIdTokenView;
+ PCollection<T> rows;
+
+ if (!getWithTemplateCompatibility()) {
+ // Create a singleton job ID token at pipeline construction time.
+ String staticJobUuid = BigQueryHelpers.randomUUIDString();
+ jobIdTokenView =
+ p.apply("TriggerIdCreation", Create.of(staticJobUuid))
+ .apply("ViewId", View.asSingleton());
+ // Apply the traditional Source model.
+ rows =
+ p.apply(
+ org.apache.beam.sdk.io.Read.from(
+ createStorageQuerySource(staticJobUuid, outputCoder)));
+ } else {
+ // Create a singleton job ID token at pipeline execution time.
+ PCollection<String> jobIdTokenCollection =
+ p.apply("TriggerIdCreation", Create.of("ignored"))
+ .apply(
+ "CreateJobId",
+ MapElements.via(
+ new SimpleFunction<String, String>() {
+ @Override
+ public String apply(String input) {
+ return BigQueryHelpers.randomUUIDString();
+ }
+ }));
+
+ jobIdTokenView = jobIdTokenCollection.apply("ViewId",
View.asSingleton());
+
+ TupleTag<Stream> streamsTag = new TupleTag<>();
+ TupleTag<ReadSession> readSessionTag = new TupleTag<>();
+ TupleTag<String> tableSchemaTag = new TupleTag<>();
+
+ PCollectionTuple tuple =
+ jobIdTokenCollection.apply(
+ "RunQueryJob",
+ ParDo.of(
+ new DoFn<String, Stream>() {
+ @ProcessElement
+ public void processElement(ProcessContext c) throws
Exception {
+ BigQueryOptions options =
+
c.getPipelineOptions().as(BigQueryOptions.class);
+ String jobUuid = c.element();
+ // Execute the query and get the destination table
holding the results.
+ BigQueryStorageQuerySource<T> querySource =
+ createStorageQuerySource(jobUuid, outputCoder);
+ Table queryResultTable =
querySource.getTargetTable(options);
Review comment:
Can you please add a comment here since that's not clear from the code.
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Issue Time Tracking
-------------------
Worklog Id: (was: 220668)
Time Spent: 5.5h (was: 5h 20m)
> Support reading query results with the BigQuery storage API
> -----------------------------------------------------------
>
> Key: BEAM-6841
> URL: https://issues.apache.org/jira/browse/BEAM-6841
> Project: Beam
> Issue Type: New Feature
> Components: io-java-gcp
> Reporter: Kenneth Jung
> Assignee: Kenneth Jung
> Priority: Minor
> Time Spent: 5.5h
> Remaining Estimate: 0h
>
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