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[BEAM-8042] Add test case to reproduce the issue #10089

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[BEAM-8042] Add test case to reproduce the issue #10089

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3 changes: 2 additions & 1 deletion ...sions/sql/src/main/java/org/apache/beam/sdk/extensions/sql/impl/planner/BeamRuleSets.java
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Original file line number Diff line number Diff line change
Expand Up @@ -96,7 +96,8 @@ public class BeamRuleSets {
ProjectSetOpTransposeRule.INSTANCE,

// aggregation and projection rules
AggregateProjectMergeRule.INSTANCE,
// try to disable AggregateProjectMergeRule
// AggregateProjectMergeRule.INSTANCE,
// push a projection past a filter or vice versa
ProjectFilterTransposeRule.INSTANCE,
FilterProjectTransposeRule.INSTANCE,
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85 changes: 85 additions & 0 deletions ...asql/src/test/java/org/apache/beam/sdk/extensions/sql/zetasql/ZetaSQLAggregationTest.java
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Original file line number Diff line number Diff line change
@@ -0,0 +1,85 @@
package org.apache.beam.sdk.extensions.sql.zetasql;

import org.apache.beam.sdk.extensions.sql.SqlTransform;
import org.apache.beam.sdk.extensions.sql.impl.BeamSqlPipelineOptions;
import org.apache.beam.sdk.options.PipelineOptions;
import org.apache.beam.sdk.options.PipelineOptionsFactory;
import org.apache.beam.sdk.schemas.Schema;
import org.apache.beam.sdk.testing.TestPipeline;
import org.apache.beam.sdk.transforms.Create;
import org.junit.Rule;
import org.junit.Test;

public class ZetaSQLAggregationTest {

@Rule
public TestPipeline pipeline = TestPipeline.fromOptions(createPipelineOptions());

private static PipelineOptions createPipelineOptions() {
BeamSqlPipelineOptions opts = PipelineOptionsFactory.create().as(BeamSqlPipelineOptions.class);
opts.setPlannerName(ZetaSQLQueryPlanner.class.getName());
return opts;
}

@Test
public void testAggregate() {
Schema inputSchema = Schema.builder()
.addByteArrayField("id")
.addInt64Field("has_f1")
.addInt64Field("has_f2")
.addInt64Field("has_f3")
.addInt64Field("has_f4")
.addInt64Field("has_f5")
.addInt64Field("has_f6")
.build();

String sql = "SELECT \n" +
" id, \n" +
" COUNT(*) as count, \n" +
" SUM(has_f1) as f1_count, \n" +
" SUM(has_f2) as f2_count, \n" +
" SUM(has_f3) as f3_count, \n" +
" SUM(has_f4) as f4_count, \n" +
" SUM(has_f5) as f5_count, \n" +
" SUM(has_f6) as f6_count \n" +
"FROM PCOLLECTION \n" +
"GROUP BY id";

pipeline
.apply(Create.empty(inputSchema))
.apply(SqlTransform.query(sql));

pipeline.run();
}

@Test
public void testAggregate2() {
Schema inputSchema = Schema.builder()
.addByteArrayField("id")
.addInt64Field("has_f1")
.addInt64Field("has_f2")
.addInt64Field("has_f3")
.addInt64Field("has_f4")
.addInt64Field("has_f5")
.addInt64Field("has_f6")
.build();

String sql = "SELECT \n" +
" id, \n" +
" SUM(has_f1) as f1_count, \n" +
" SUM(has_f2) as f2_count, \n" +
" SUM(has_f3) as f3_count, \n" +
" SUM(has_f4) as f4_count, \n" +
" SUM(has_f5) as f5_count, \n" +
" SUM(has_f6) as f6_count \n" +
"FROM PCOLLECTION \n" +
"GROUP BY id";

pipeline
.apply(Create.empty(inputSchema))
.apply(SqlTransform.query(sql));

pipeline.run();
}

}