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https://issues.apache.org/jira/browse/BEAM-5191?focusedWorklogId=267724&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-267724
]
ASF GitHub Bot logged work on BEAM-5191:
----------------------------------------
Author: ASF GitHub Bot
Created on: 26/Jun/19 15:20
Start Date: 26/Jun/19 15:20
Worklog Time Spent: 10m
Work Description: jklukas commented on pull request #8945: [BEAM-5191]
Support for BigQuery clustering
URL: https://github.com/apache/beam/pull/8945#discussion_r297726367
##########
File path:
sdks/java/io/google-cloud-platform/src/test/java/org/apache/beam/sdk/io/gcp/bigquery/BigQueryIOWriteTest.java
##########
@@ -391,6 +392,93 @@ public void testTimePartitioning(BigQueryIO.Write.Method
insertMethod) throws Ex
assertEquals(timePartitioning, table.getTimePartitioning());
}
+ @Test
+ public void testClusteringStreamingInserts() throws Exception {
+ testClustering(BigQueryIO.Write.Method.STREAMING_INSERTS);
+ }
+
+ @Test
+ public void testClusteringBatchLoads() throws Exception {
+ testClustering(BigQueryIO.Write.Method.FILE_LOADS);
+ }
+
+ public void testClustering(BigQueryIO.Write.Method insertMethod) throws
Exception {
+ TableRow row1 = new TableRow().set("date", "2018-01-01").set("number",
"1");
+ TableRow row2 = new TableRow().set("date", "2018-01-02").set("number",
"2");
+
+ TimePartitioning timePartitioning = new
TimePartitioning().setType("DAY").setField("date");
+ Clustering clustering = new
Clustering().setFields(ImmutableList.of("date"));
+ TableSchema schema =
+ new TableSchema()
+ .setFields(
+ ImmutableList.of(
+ new TableFieldSchema()
+ .setName("date")
+ .setType("DATE")
+ .setName("number")
+ .setType("INTEGER")));
+ p.apply(Create.of(row1, row2))
+ .apply(
+ BigQueryIO.writeTableRows()
+ .to("project-id:dataset-id.table-id")
+ .withTestServices(fakeBqServices)
+ .withMethod(insertMethod)
+ .withSchema(schema)
+ .withTimePartitioning(timePartitioning)
+ .withClustering(clustering)
+ .withoutValidation());
+ p.run();
+ Table table =
+ fakeDatasetService.getTable(
+ BigQueryHelpers.parseTableSpec("project-id:dataset-id.table-id"));
+ assertEquals(schema, table.getSchema());
+ assertEquals(timePartitioning, table.getTimePartitioning());
+ assertEquals(clustering, table.getClustering());
+ }
+
+ @Test
+ public void testClusteringTableFunction() throws Exception {
+ TableRow row1 = new TableRow().set("date", "2018-01-01").set("number",
"1");
+ TableRow row2 = new TableRow().set("date", "2018-01-02").set("number",
"2");
+
+ TimePartitioning timePartitioning = new
TimePartitioning().setType("DAY").setField("date");
+ Clustering clustering = new
Clustering().setFields(ImmutableList.of("date"));
+ TableSchema schema =
+ new TableSchema()
+ .setFields(
+ ImmutableList.of(
+ new TableFieldSchema()
+ .setName("date")
+ .setType("DATE")
+ .setName("number")
+ .setType("INTEGER")));
+ p.apply(Create.of(row1, row2))
+ .apply(
+ BigQueryIO.writeTableRows()
+ .to(
+ (ValueInSingleWindow<TableRow> vsw) -> {
+ String tableSpec =
+ "project-id:dataset-id.table-" +
vsw.getValue().get("number");
+ return new TableDestination(
+ tableSpec,
+ null,
+ new
TimePartitioning().setType("DAY").setField("date"),
+ new
Clustering().setFields(ImmutableList.of("date")));
+ })
+ .withTestServices(fakeBqServices)
+ .withMethod(BigQueryIO.Write.Method.FILE_LOADS)
+ .withSchema(schema)
+ .enableClustering()
Review comment:
Notably, this test fails if `enableClustering()` is not called because the
default `TableDestinationCoderV2` is used and clustering information is dropped
before the table is created. This is exactly the behavior we want for backwards
compatibility.
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Issue Time Tracking
-------------------
Worklog Id: (was: 267724)
Time Spent: 8h 20m (was: 8h 10m)
> Add support for writing to BigQuery clustered tables
> ----------------------------------------------------
>
> Key: BEAM-5191
> URL: https://issues.apache.org/jira/browse/BEAM-5191
> Project: Beam
> Issue Type: Improvement
> Components: io-java-gcp
> Affects Versions: 2.6.0
> Reporter: Robert Sahlin
> Assignee: Wout Scheepers
> Priority: Minor
> Labels: features, newbie
> Time Spent: 8h 20m
> Remaining Estimate: 0h
>
> Google recently added support for clustered tables in BigQuery. It would be
> useful to set clustering columns the same way as for partitioning. It should
> support multiple fields (4) for clustering.
> For example:
> [BigQueryIO.Write|https://beam.apache.org/documentation/sdks/javadoc/2.6.0/org/apache/beam/sdk/io/gcp/bigquery/BigQueryIO.Write.html]<[T|https://beam.apache.org/documentation/sdks/javadoc/2.6.0/org/apache/beam/sdk/io/gcp/bigquery/BigQueryIO.Write.html]>
> .withClustering(new Clustering().setField("productId").setType("STRING"))
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