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Posted to github@beam.apache.org by GitBox <gi...@apache.org> on 2020/08/04 18:46:06 UTC
[GitHub] [beam] robinyqiu commented on a change in pull request #12348: [BEAM-10240] Support ZetaSQL DATETIME functions in BeamSQL
robinyqiu commented on a change in pull request #12348:
URL: https://github.com/apache/beam/pull/12348#discussion_r465229526
##########
File path: sdks/java/core/src/main/java/org/apache/beam/sdk/schemas/logicaltypes/DateTime.java
##########
@@ -0,0 +1,83 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements. See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership. The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License. You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+package org.apache.beam.sdk.schemas.logicaltypes;
+
+import java.time.LocalDate;
+import java.time.LocalDateTime;
+import java.time.LocalTime;
+import org.apache.beam.sdk.schemas.Schema;
+import org.apache.beam.sdk.values.Row;
+
+/**
+ * A datetime without a time-zone.
+ *
+ * <p>It cannot represent an instant on the time-line without additional information such as an
+ * offset or time-zone.
+ *
+ * <p>Its input type is a {@link LocalDateTime}, and base type is a {@link Row} containing Date
+ * field and Time field. Date field is the same as the base type of {@link Date}, which is a Long
+ * that represents incrementing count of days where day 0 is 1970-01-01 (ISO). Time field is the
+ * same as the base type of {@link Time}, which is a Long that represents a count of time in
+ * nanoseconds.
+ */
+public class DateTime implements Schema.LogicalType<LocalDateTime, Row> {
+ public static final String DATE_FIELD = "Date";
Review comment:
Now these fields are all public, I think it makes sense to give them more precise names, like "DATE_FIELD_NAME" and "TIME_FIELD_NAME"?
##########
File path: sdks/java/extensions/sql/src/test/java/org/apache/beam/sdk/extensions/sql/impl/schema/BeamSqlRowCoderTest.java
##########
@@ -51,6 +52,7 @@ public void encodeAndDecode() throws Exception {
.add("col_string_varchar", SqlTypeName.VARCHAR)
.add("col_time", SqlTypeName.TIME)
.add("col_date", SqlTypeName.DATE)
+ .add("col_datetime", SqlTypeName.TIMESTAMP_WITH_LOCAL_TIME_ZONE)
Review comment:
Let's not use the name "datetime" here. I think it should be "timestamp_with_local_time_zone"? See other column names above, they all use the Calcite name.
##########
File path: sdks/java/extensions/sql/src/test/java/org/apache/beam/sdk/extensions/sql/BeamComplexTypeTest.java
##########
@@ -412,32 +398,141 @@ public void testNullDatetimeFields() {
.addNullableField("year_with_null", FieldType.INT64)
.addField("mm", FieldType.INT64)
.addNullableField("month_with_null", FieldType.INT64)
+ .build();
+
+ PAssert.that(outputRow)
+ .containsInAnyOrder(
+ Row.withSchema(outputRowSchema).addValues(2019L, null, 06L, null).build());
+
+ pipeline.run().waitUntilFinish(Duration.standardMinutes(2));
+ }
+
+ @Test
+ public void testNullSqlLogicalTypeDateFields() {
+ Schema dateTimeFieldSchema =
+ Schema.builder()
+ .addField("dateTypeField", FieldType.logicalType(SqlTypes.DATE))
+ .addNullableField("nullableDateTypeField", FieldType.logicalType(SqlTypes.DATE))
+ .build();
+
+ Row dateRow =
+ Row.withSchema(dateTimeFieldSchema).addValues(LocalDate.of(2019, 6, 27), null).build();
+
+ PCollection<Row> outputRow =
+ pipeline
+ .apply(Create.of(dateRow))
+ .setRowSchema(dateTimeFieldSchema)
+ .apply(
+ SqlTransform.query(
+ "select EXTRACT(DAY from dateTypeField) as dd, "
+ + " EXTRACT(DAY from nullableDateTypeField) as day_with_null, "
+ + " dateTypeField + interval '1' day as date_with_day_added, "
+ + " nullableDateTypeField + interval '1' day as day_added_with_null "
+ + " from PCOLLECTION"));
+
+ Schema outputRowSchema =
+ Schema.builder()
+ .addField("dd", FieldType.INT64)
+ .addNullableField("day_with_null", FieldType.INT64)
+ .addField("date_with_day_added", FieldType.logicalType(SqlTypes.DATE))
+ .addNullableField("day_added_with_null", FieldType.logicalType(SqlTypes.DATE))
+ .build();
+
+ PAssert.that(outputRow)
+ .containsInAnyOrder(
+ Row.withSchema(outputRowSchema)
+ .addValues(27L, null, LocalDate.of(2019, 6, 28), null)
+ .build());
+
+ pipeline.run().waitUntilFinish(Duration.standardMinutes(2));
+ }
+
+ @Test
+ public void testNullSqlLogicalTypeTimeFields() {
+ Schema dateTimeFieldSchema =
+ Schema.builder()
+ .addField("timeTypeField", FieldType.logicalType(SqlTypes.TIME))
+ .addNullableField("nullableTimeTypeField", FieldType.logicalType(SqlTypes.TIME))
+ .build();
+
+ Row timeRow =
+ Row.withSchema(dateTimeFieldSchema).addValues(LocalTime.of(1, 0, 0), null).build();
+
+ PCollection<Row> outputRow =
+ pipeline
+ .apply(Create.of(timeRow))
+ .setRowSchema(dateTimeFieldSchema)
+ .apply(
+ SqlTransform.query(
+ "select timeTypeField + interval '1' hour as time_with_hour_added, "
+ + " nullableTimeTypeField + interval '1' hour as hour_added_with_null, "
+ + " timeTypeField - INTERVAL '60' SECOND as time_with_seconds_added, "
+ + " nullableTimeTypeField - INTERVAL '60' SECOND as seconds_added_with_null "
+ + " from PCOLLECTION"));
+
+ Schema outputRowSchema =
+ Schema.builder()
.addField("time_with_hour_added", FieldType.logicalType(SqlTypes.TIME))
.addNullableField("hour_added_with_null", FieldType.logicalType(SqlTypes.TIME))
.addField("time_with_seconds_added", FieldType.logicalType(SqlTypes.TIME))
.addNullableField("seconds_added_with_null", FieldType.logicalType(SqlTypes.TIME))
+ .build();
+
+ PAssert.that(outputRow)
+ .containsInAnyOrder(
+ Row.withSchema(outputRowSchema)
+ .addValues(LocalTime.of(2, 0, 0), null, LocalTime.of(0, 59, 0), null)
+ .build());
+
+ pipeline.run().waitUntilFinish(Duration.standardMinutes(2));
+ }
+
+ @Test
+ public void testSqlLogicalTypeDatetimeFields() {
+ Schema dateTimeFieldSchema =
+ Schema.builder()
+ .addField("dateTimeField", FieldType.logicalType(SqlTypes.DATETIME))
Review comment:
Add some tests on "nullableDateTimeField" as well, like above?
##########
File path: sdks/java/extensions/sql/src/test/java/org/apache/beam/sdk/extensions/sql/BeamComplexTypeTest.java
##########
@@ -412,32 +398,141 @@ public void testNullDatetimeFields() {
.addNullableField("year_with_null", FieldType.INT64)
.addField("mm", FieldType.INT64)
.addNullableField("month_with_null", FieldType.INT64)
+ .build();
+
+ PAssert.that(outputRow)
+ .containsInAnyOrder(
+ Row.withSchema(outputRowSchema).addValues(2019L, null, 06L, null).build());
+
+ pipeline.run().waitUntilFinish(Duration.standardMinutes(2));
+ }
+
+ @Test
+ public void testNullSqlLogicalTypeDateFields() {
+ Schema dateTimeFieldSchema =
+ Schema.builder()
+ .addField("dateTypeField", FieldType.logicalType(SqlTypes.DATE))
+ .addNullableField("nullableDateTypeField", FieldType.logicalType(SqlTypes.DATE))
+ .build();
+
+ Row dateRow =
+ Row.withSchema(dateTimeFieldSchema).addValues(LocalDate.of(2019, 6, 27), null).build();
+
+ PCollection<Row> outputRow =
+ pipeline
+ .apply(Create.of(dateRow))
+ .setRowSchema(dateTimeFieldSchema)
+ .apply(
+ SqlTransform.query(
+ "select EXTRACT(DAY from dateTypeField) as dd, "
+ + " EXTRACT(DAY from nullableDateTypeField) as day_with_null, "
+ + " dateTypeField + interval '1' day as date_with_day_added, "
+ + " nullableDateTypeField + interval '1' day as day_added_with_null "
+ + " from PCOLLECTION"));
+
+ Schema outputRowSchema =
+ Schema.builder()
+ .addField("dd", FieldType.INT64)
+ .addNullableField("day_with_null", FieldType.INT64)
+ .addField("date_with_day_added", FieldType.logicalType(SqlTypes.DATE))
+ .addNullableField("day_added_with_null", FieldType.logicalType(SqlTypes.DATE))
+ .build();
+
+ PAssert.that(outputRow)
+ .containsInAnyOrder(
+ Row.withSchema(outputRowSchema)
+ .addValues(27L, null, LocalDate.of(2019, 6, 28), null)
+ .build());
+
+ pipeline.run().waitUntilFinish(Duration.standardMinutes(2));
+ }
+
+ @Test
+ public void testNullSqlLogicalTypeTimeFields() {
Review comment:
Thanks for splitting these tests. Now its much easier to read.
Could you remove the "Null" from this test name (and above)? I think all tests have a non-null field and a nullable field now.
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