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Map TIMSETAMP(12) BQ type -> timestamp-nanos Avro type in default schemafactory #37257

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Merged
claudevdm merged 2 commits into from
Jan 9, 2026
Merged

Map TIMSETAMP(12) BQ type -> timestamp-nanos Avro type in default schemafactory #37257

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5f0d5c7
Map TIMSETAMP(12) BQ type -> timestamp-nanos Avro type in default sch…
Jan 8, 2026
63e7926
Use default schemafactory in test.
Jan 8, 2026
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12 changes: 9 additions & 3 deletions ...e-cloud-platform/src/main/java/org/apache/beam/sdk/io/gcp/bigquery/BigQueryAvroUtils.java
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Original file line number Diff line number Diff line change
Expand Up @@ -102,9 +102,15 @@ static Schema getPrimitiveType(TableFieldSchema schema, Boolean useAvroLogicalTy
// boolean
return SchemaBuilder.builder().booleanType();
case "TIMESTAMP":
// in Extract Jobs, it always uses the Avro logical type
// we may have to change this if we move to EXPORT DATA
return LogicalTypes.timestampMicros().addToSchema(SchemaBuilder.builder().longType());
if (schema.getTimestampPrecision() == null || schema.getTimestampPrecision() == 6) {
// in Extract Jobs, it always uses the Avro logical type
// we may have to change this if we move to EXPORT DATA
return LogicalTypes.timestampMicros().addToSchema(SchemaBuilder.builder().longType());
}
return SchemaBuilder.builder()
.longBuilder()
.prop("logicalType", TIMESTAMP_NANOS_LOGICAL_TYPE)
.endLong();
case "DATE":
if (useAvroLogicalTypes) {
return LogicalTypes.date().addToSchema(SchemaBuilder.builder().intType());
Expand Down
23 changes: 18 additions & 5 deletions ...-platform/src/test/java/org/apache/beam/sdk/io/gcp/bigquery/BigQueryTimestampPicosIT.java
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Original file line number Diff line number Diff line change
Expand Up @@ -408,6 +408,10 @@ private static org.apache.avro.Schema createTimestampNanosAvroSchema() {
.name("ts_nanos")
.type(longSchema)
.noDefault()
.name("ts_picos")
.type()
.stringType()
.noDefault()
.endRecord();
}

Expand All @@ -421,12 +425,12 @@ private static org.apache.avro.Schema createTimestampNanosAvroSchema() {
public void testWriteGenericRecordTimestampNanos() throws Exception {
String tableSpec =
String.format("%s:%s.%s", project, DATASET_ID, "generic_record_ts_nanos_test");

// Create GenericRecord with timestamp-nanos value
GenericRecord record =
new GenericRecordBuilder(TIMESTAMP_NANOS_AVRO_SCHEMA)
.set(
"ts_nanos", TEST_INSTANT.getEpochSecond() * 1_000_000_000L + TEST_INSTANT.getNano())
.set("ts_picos", "2024-01-15T10:30:45.123456789123Z")
.build();

// Write using Storage Write API with Avro format
Expand All @@ -437,7 +441,6 @@ public void testWriteGenericRecordTimestampNanos() throws Exception {
"WriteGenericRecords",
BigQueryIO.writeGenericRecords()
.to(tableSpec)
.withAvroSchemaFactory(tableSchema -> TIMESTAMP_NANOS_AVRO_SCHEMA)
.withSchema(BigQueryUtils.fromGenericAvroSchema(TIMESTAMP_NANOS_AVRO_SCHEMA, true))
.useAvroLogicalTypes()
.withMethod(BigQueryIO.Write.Method.STORAGE_WRITE_API)
Expand All @@ -457,12 +460,18 @@ public void testWriteGenericRecordTimestampNanos() throws Exception {
.from(tableSpec));

PAssert.that(result)
.containsInAnyOrder(new TableRow().set("ts_nanos", "2024-01-15T10:30:45.123456789000Z"));
.containsInAnyOrder(
new TableRow()
.set("ts_nanos", "2024-01-15T10:30:45.123456789000Z")
.set("ts_picos", "2024-01-15T10:30:45.123456789123Z"));
readPipeline.run().waitUntilFinish();
}

private static final Schema BEAM_TIMESTAMP_NANOS_SCHEMA =
Schema.builder().addField("ts_nanos", Schema.FieldType.logicalType(Timestamp.NANOS)).build();
Schema.builder()
.addField("ts_nanos", Schema.FieldType.logicalType(Timestamp.NANOS))
.addField("ts_picos", Schema.FieldType.STRING)
.build();

@Test
public void testWriteBeamRowTimestampNanos() throws Exception {
Expand All @@ -472,6 +481,7 @@ public void testWriteBeamRowTimestampNanos() throws Exception {
Row row =
Row.withSchema(BEAM_TIMESTAMP_NANOS_SCHEMA)
.withFieldValue("ts_nanos", TEST_INSTANT)
.withFieldValue("ts_picos", "2024-01-15T10:30:45.123456789123Z")
.build();

// Write using Storage Write API with Beam Schema
Expand Down Expand Up @@ -500,7 +510,10 @@ public void testWriteBeamRowTimestampNanos() throws Exception {
.from(tableSpec));

PAssert.that(result)
.containsInAnyOrder(new TableRow().set("ts_nanos", "2024-01-15T10:30:45.123456789000Z"));
.containsInAnyOrder(
new TableRow()
.set("ts_nanos", "2024-01-15T10:30:45.123456789000Z")
.set("ts_picos", "2024-01-15T10:30:45.123456789123Z"));
readPipeline.run().waitUntilFinish();
}

Expand Down
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