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[FLINK-35743][cdc-runtime] Correct the temporal function semantics
This closes #3449. Co-authored-by: wenmo <[email protected]> Co-authored-by: yuxiqian <[email protected]>
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281
...poser/src/test/java/org/apache/flink/cdc/composer/flink/FlinkPipelineTransformITCase.java
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| /* | ||
| * 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.flink.cdc.composer.flink; | ||
|
|
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| import org.apache.flink.cdc.common.configuration.Configuration; | ||
| import org.apache.flink.cdc.common.data.binary.BinaryStringData; | ||
| import org.apache.flink.cdc.common.event.CreateTableEvent; | ||
| import org.apache.flink.cdc.common.event.DataChangeEvent; | ||
| import org.apache.flink.cdc.common.event.Event; | ||
| import org.apache.flink.cdc.common.event.TableId; | ||
| import org.apache.flink.cdc.common.pipeline.PipelineOptions; | ||
| import org.apache.flink.cdc.common.schema.Schema; | ||
| import org.apache.flink.cdc.common.types.DataType; | ||
| import org.apache.flink.cdc.common.types.DataTypes; | ||
| import org.apache.flink.cdc.composer.PipelineExecution; | ||
| import org.apache.flink.cdc.composer.definition.PipelineDef; | ||
| import org.apache.flink.cdc.composer.definition.SinkDef; | ||
| import org.apache.flink.cdc.composer.definition.SourceDef; | ||
| import org.apache.flink.cdc.composer.definition.TransformDef; | ||
| import org.apache.flink.cdc.connectors.values.ValuesDatabase; | ||
| import org.apache.flink.cdc.connectors.values.factory.ValuesDataFactory; | ||
| import org.apache.flink.cdc.connectors.values.sink.ValuesDataSinkOptions; | ||
| import org.apache.flink.cdc.connectors.values.source.ValuesDataSourceHelper; | ||
| import org.apache.flink.cdc.connectors.values.source.ValuesDataSourceOptions; | ||
| import org.apache.flink.cdc.runtime.typeutils.BinaryRecordDataGenerator; | ||
| import org.apache.flink.runtime.testutils.MiniClusterResourceConfiguration; | ||
| import org.apache.flink.test.junit5.MiniClusterExtension; | ||
|
|
||
| import org.junit.jupiter.api.AfterEach; | ||
| import org.junit.jupiter.api.BeforeEach; | ||
| import org.junit.jupiter.api.Test; | ||
| import org.junit.jupiter.api.extension.RegisterExtension; | ||
|
|
||
| import java.io.ByteArrayOutputStream; | ||
| import java.io.PrintStream; | ||
| import java.time.Instant; | ||
| import java.time.LocalDateTime; | ||
| import java.time.ZoneOffset; | ||
| import java.time.format.DateTimeFormatter; | ||
| import java.util.ArrayList; | ||
| import java.util.Arrays; | ||
| import java.util.Collections; | ||
| import java.util.List; | ||
| import java.util.stream.Stream; | ||
|
|
||
| import static org.apache.flink.configuration.CoreOptions.ALWAYS_PARENT_FIRST_LOADER_PATTERNS_ADDITIONAL; | ||
| import static org.assertj.core.api.Assertions.assertThat; | ||
|
|
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| /** Integration test for {@link FlinkPipelineComposer}. */ | ||
| class FlinkPipelineTransformITCase { | ||
|
|
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| private static final int MAX_PARALLELISM = 4; | ||
|
|
||
| // Always use parent-first classloader for CDC classes. | ||
| // The reason is that ValuesDatabase uses static field for holding data, we need to make sure | ||
| // the class is loaded by AppClassloader so that we can verify data in the test case. | ||
| private static final org.apache.flink.configuration.Configuration MINI_CLUSTER_CONFIG = | ||
| new org.apache.flink.configuration.Configuration(); | ||
|
|
||
| static { | ||
| MINI_CLUSTER_CONFIG.set( | ||
| ALWAYS_PARENT_FIRST_LOADER_PATTERNS_ADDITIONAL, | ||
| Collections.singletonList("org.apache.flink.cdc")); | ||
| } | ||
|
|
||
| /** | ||
| * Use {@link MiniClusterExtension} to reduce the overhead of restarting the MiniCluster for | ||
| * every test case. | ||
| */ | ||
| @RegisterExtension | ||
| static final MiniClusterExtension MINI_CLUSTER_RESOURCE = | ||
| new MiniClusterExtension( | ||
| new MiniClusterResourceConfiguration.Builder() | ||
| .setNumberTaskManagers(1) | ||
| .setNumberSlotsPerTaskManager(MAX_PARALLELISM) | ||
| .setConfiguration(MINI_CLUSTER_CONFIG) | ||
| .build()); | ||
|
|
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| private final PrintStream standardOut = System.out; | ||
| private final ByteArrayOutputStream outCaptor = new ByteArrayOutputStream(); | ||
|
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||
| @BeforeEach | ||
| void init() { | ||
| // Take over STDOUT as we need to check the output of values sink | ||
| System.setOut(new PrintStream(outCaptor)); | ||
| // Initialize in-memory database | ||
| ValuesDatabase.clear(); | ||
| } | ||
|
|
||
| @AfterEach | ||
| void cleanup() { | ||
| System.setOut(standardOut); | ||
| } | ||
|
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| @Test | ||
| void testTransformWithTemporalFunction() throws Exception { | ||
| FlinkPipelineComposer composer = FlinkPipelineComposer.ofMiniCluster(); | ||
|
|
||
| // Setup value source | ||
| Configuration sourceConfig = new Configuration(); | ||
| sourceConfig.set( | ||
| ValuesDataSourceOptions.EVENT_SET_ID, | ||
| ValuesDataSourceHelper.EventSetId.CUSTOM_SOURCE_EVENTS); | ||
|
|
||
| TableId myTable1 = TableId.tableId("default_namespace", "default_schema", "mytable1"); | ||
| TableId myTable2 = TableId.tableId("default_namespace", "default_schema", "mytable2"); | ||
| Schema table1Schema = | ||
| Schema.newBuilder() | ||
| .physicalColumn("id", DataTypes.INT()) | ||
| .physicalColumn("name", DataTypes.STRING()) | ||
| .physicalColumn("age", DataTypes.INT()) | ||
| .primaryKey("id") | ||
| .build(); | ||
| Schema table2Schema = | ||
| Schema.newBuilder() | ||
| .physicalColumn("id", DataTypes.BIGINT()) | ||
| .physicalColumn("name", DataTypes.VARCHAR(255)) | ||
| .physicalColumn("age", DataTypes.TINYINT()) | ||
| .physicalColumn("description", DataTypes.STRING()) | ||
| .primaryKey("id") | ||
| .build(); | ||
|
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||
| List<Event> events = new ArrayList<>(); | ||
| BinaryRecordDataGenerator table1dataGenerator = | ||
| new BinaryRecordDataGenerator( | ||
| table1Schema.getColumnDataTypes().toArray(new DataType[0])); | ||
| BinaryRecordDataGenerator table2dataGenerator = | ||
| new BinaryRecordDataGenerator( | ||
| table2Schema.getColumnDataTypes().toArray(new DataType[0])); | ||
| events.add(new CreateTableEvent(myTable1, table1Schema)); | ||
| events.add( | ||
| DataChangeEvent.insertEvent( | ||
| myTable1, | ||
| table1dataGenerator.generate( | ||
| new Object[] {1, BinaryStringData.fromString("Alice"), 18}))); | ||
| events.add( | ||
| DataChangeEvent.insertEvent( | ||
| myTable1, | ||
| table1dataGenerator.generate( | ||
| new Object[] {2, BinaryStringData.fromString("Bob"), 20}))); | ||
| events.add( | ||
| DataChangeEvent.updateEvent( | ||
| myTable1, | ||
| table1dataGenerator.generate( | ||
| new Object[] {2, BinaryStringData.fromString("Bob"), 20}), | ||
| table1dataGenerator.generate( | ||
| new Object[] {2, BinaryStringData.fromString("Bob"), 30}))); | ||
| events.add(new CreateTableEvent(myTable2, table2Schema)); | ||
| events.add( | ||
| DataChangeEvent.insertEvent( | ||
| myTable2, | ||
| table2dataGenerator.generate( | ||
| new Object[] { | ||
| 3L, | ||
| BinaryStringData.fromString("Carol"), | ||
| (byte) 15, | ||
| BinaryStringData.fromString("student") | ||
| }))); | ||
| events.add( | ||
| DataChangeEvent.insertEvent( | ||
| myTable2, | ||
| table2dataGenerator.generate( | ||
| new Object[] { | ||
| 4L, | ||
| BinaryStringData.fromString("Derrida"), | ||
| (byte) 25, | ||
| BinaryStringData.fromString("student") | ||
| }))); | ||
| events.add( | ||
| DataChangeEvent.deleteEvent( | ||
| myTable2, | ||
| table2dataGenerator.generate( | ||
| new Object[] { | ||
| 4L, | ||
| BinaryStringData.fromString("Derrida"), | ||
| (byte) 25, | ||
| BinaryStringData.fromString("student") | ||
| }))); | ||
|
|
||
| ValuesDataSourceHelper.setSourceEvents(Collections.singletonList(events)); | ||
|
|
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| SourceDef sourceDef = | ||
| new SourceDef(ValuesDataFactory.IDENTIFIER, "Value Source", sourceConfig); | ||
|
|
||
| // Setup value sink | ||
| Configuration sinkConfig = new Configuration(); | ||
| sinkConfig.set(ValuesDataSinkOptions.MATERIALIZED_IN_MEMORY, true); | ||
| SinkDef sinkDef = new SinkDef(ValuesDataFactory.IDENTIFIER, "Value Sink", sinkConfig); | ||
|
|
||
| // Setup pipeline | ||
| Configuration pipelineConfig = new Configuration(); | ||
| pipelineConfig.set(PipelineOptions.PIPELINE_PARALLELISM, 1); | ||
| pipelineConfig.set(PipelineOptions.PIPELINE_LOCAL_TIME_ZONE, "America/Los_Angeles"); | ||
| PipelineDef pipelineDef = | ||
| new PipelineDef( | ||
| sourceDef, | ||
| sinkDef, | ||
| Collections.emptyList(), | ||
| Collections.singletonList( | ||
| new TransformDef( | ||
| "default_namespace.default_schema.\\.*", | ||
| "*, LOCALTIME as lcl_t, CURRENT_TIME as cur_t, CAST(CURRENT_TIMESTAMP AS TIMESTAMP) as cur_ts, CAST(NOW() AS TIMESTAMP) as now_ts, LOCALTIMESTAMP as lcl_ts, CURRENT_DATE as cur_dt", | ||
| null, | ||
| null, | ||
| null, | ||
| null, | ||
| null)), | ||
| pipelineConfig); | ||
|
|
||
| // Execute the pipeline | ||
| PipelineExecution execution = composer.compose(pipelineDef); | ||
| execution.execute(); | ||
|
|
||
| // Check the order and content of all received events | ||
| String[] outputEvents = outCaptor.toString().trim().split("\n"); | ||
|
|
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| Arrays.stream(outputEvents).forEach(this::extractDataLines); | ||
| } | ||
|
|
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| void extractDataLines(String line) { | ||
| if (!line.startsWith("DataChangeEvent{")) { | ||
| return; | ||
| } | ||
| Stream.of("before", "after") | ||
| .forEach( | ||
| tag -> { | ||
| String[] arr = line.split(tag + "=\\[", 2); | ||
| String dataRecord = arr[arr.length - 1].split("]", 2)[0]; | ||
| if (!dataRecord.isEmpty()) { | ||
| verifyDataRecord(dataRecord); | ||
| } | ||
| }); | ||
| } | ||
|
|
||
| void verifyDataRecord(String recordLine) { | ||
| List<String> tokens = Arrays.asList(recordLine.split(", ")); | ||
| assertThat(tokens).hasSizeGreaterThanOrEqualTo(6); | ||
|
|
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| tokens = tokens.subList(tokens.size() - 6, tokens.size()); | ||
|
|
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| String localTime = tokens.get(0); | ||
| String currentTime = tokens.get(1); | ||
| assertThat(localTime).isEqualTo(currentTime); | ||
|
|
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| String currentTimestamp = tokens.get(2); | ||
| String nowTimestamp = tokens.get(3); | ||
| String localTimestamp = tokens.get(4); | ||
| assertThat(currentTimestamp).isEqualTo(nowTimestamp).isEqualTo(localTimestamp); | ||
|
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| Instant instant = | ||
| LocalDateTime.parse( | ||
| currentTimestamp, | ||
| DateTimeFormatter.ofPattern("yyyy-MM-dd'T'HH:mm:ss.SSS")) | ||
| .toInstant(ZoneOffset.UTC); | ||
|
|
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| long milliSecondsInOneDay = 24 * 60 * 60 * 1000; | ||
|
|
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| assertThat(instant.toEpochMilli() % milliSecondsInOneDay) | ||
| .isEqualTo(Long.parseLong(localTime)); | ||
|
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| String currentDate = tokens.get(5); | ||
|
|
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| assertThat(instant.toEpochMilli() / milliSecondsInOneDay) | ||
| .isEqualTo(Long.parseLong(currentDate)); | ||
| } | ||
| } |
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