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Posted to github@beam.apache.org by GitBox <gi...@apache.org> on 2020/07/17 21:23:34 UTC
[GitHub] [beam] robinyqiu commented on a change in pull request #12261: [BEAM-10490] Support read/write ZetaSQL DATE/TIME types from/to BigQuery
robinyqiu commented on a change in pull request #12261:
URL: https://github.com/apache/beam/pull/12261#discussion_r456680548
##########
File path: sdks/java/io/google-cloud-platform/src/test/java/org/apache/beam/sdk/io/gcp/bigquery/BigQueryUtilsTest.java
##########
@@ -410,96 +415,49 @@ public void testSubMilliPrecisionRejected() {
assertThrows(
"precision",
IllegalArgumentException.class,
- () ->
- BigQueryUtils.convertAvroFormat(
- Schema.Field.of("dummy", Schema.FieldType.DATETIME).getType(),
- 1000000001L,
- REJECT_OPTIONS));
+ () -> BigQueryUtils.convertAvroFormat(FieldType.DATETIME, 1000000001L, REJECT_OPTIONS));
}
@Test
public void testMilliPrecisionOk() {
long millis = 123456789L;
assertThat(
- BigQueryUtils.convertAvroFormat(
- Schema.Field.of("dummy", Schema.FieldType.DATETIME).getType(),
- millis * 1000,
- REJECT_OPTIONS),
+ BigQueryUtils.convertAvroFormat(FieldType.DATETIME, millis * 1000, REJECT_OPTIONS),
equalTo(new Instant(millis)));
}
@Test
public void testSubMilliPrecisionTruncated() {
long millis = 123456789L;
assertThat(
- BigQueryUtils.convertAvroFormat(
- Schema.Field.of("dummy", Schema.FieldType.DATETIME).getType(),
- millis * 1000 + 123,
- TRUNCATE_OPTIONS),
+ BigQueryUtils.convertAvroFormat(FieldType.DATETIME, millis * 1000 + 123, TRUNCATE_OPTIONS),
equalTo(new Instant(millis)));
}
@Test
- public void testSubMilliPrecisionLogicalTypeRejected() {
Review comment:
Yes, it's not relavent anymore. ZetaSQL TIME type is now able to support micro-second precision.
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