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[Bugfix][JDBC、CDC] Fix Spliter Error in Case of Extensive Duplicate D…
…ata (#6026)
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...l/connectors/cdc/base/source/enumerator/splitter/AbstractJdbcSourceChunkSplitterTest.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. | ||
| */ | ||
|
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| package org.apache.seatunnel.connectors.cdc.base.source.enumerator.splitter; | ||
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| import org.apache.seatunnel.api.table.type.SeaTunnelDataType; | ||
| import org.apache.seatunnel.api.table.type.SeaTunnelRowType; | ||
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| import org.junit.jupiter.api.Test; | ||
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| import io.debezium.jdbc.JdbcConnection; | ||
| import io.debezium.relational.Column; | ||
| import io.debezium.relational.TableId; | ||
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| import java.sql.SQLException; | ||
| import java.util.Arrays; | ||
| import java.util.List; | ||
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| import static org.junit.jupiter.api.Assertions.assertEquals; | ||
| import static org.junit.jupiter.api.Assertions.assertNull; | ||
| import static org.junit.jupiter.api.Assertions.assertTrue; | ||
|
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| public class AbstractJdbcSourceChunkSplitterTest { | ||
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| @Test | ||
| public void testEfficientShardingThroughSampling() throws NoSuchMethodException { | ||
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| UtJdbcSourceChunkSplitter utJdbcSourceChunkSplitter = new UtJdbcSourceChunkSplitter(); | ||
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| check( | ||
| utJdbcSourceChunkSplitter.efficientShardingThroughSampling( | ||
| null, new Object[] {1, 1, 1, 1, 1, 1}, 1000, 2), | ||
| Arrays.asList(ChunkRange.of(null, 1), ChunkRange.of(1, null))); | ||
|
|
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| check( | ||
| utJdbcSourceChunkSplitter.efficientShardingThroughSampling( | ||
| null, new Object[] {1, 1, 1, 1, 1, 1}, 1000, 1), | ||
| Arrays.asList(ChunkRange.of(null, null))); | ||
|
|
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| check( | ||
| utJdbcSourceChunkSplitter.efficientShardingThroughSampling( | ||
| null, new Object[] {1, 1, 1, 1, 1, 1}, 1000, 10), | ||
| Arrays.asList(ChunkRange.of(null, 1), ChunkRange.of(1, null))); | ||
|
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| check( | ||
| utJdbcSourceChunkSplitter.efficientShardingThroughSampling( | ||
| null, new Object[] {1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2}, 1000, 10), | ||
| Arrays.asList(ChunkRange.of(null, 1), ChunkRange.of(1, 2), ChunkRange.of(2, null))); | ||
|
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| check( | ||
| utJdbcSourceChunkSplitter.efficientShardingThroughSampling( | ||
| null, new Object[] {1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2}, 1000, 1), | ||
| Arrays.asList(ChunkRange.of(null, null))); | ||
|
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| check( | ||
| utJdbcSourceChunkSplitter.efficientShardingThroughSampling( | ||
| null, new Object[] {1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2}, 1000, 2), | ||
| Arrays.asList(ChunkRange.of(null, 1), ChunkRange.of(1, null))); | ||
|
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| check( | ||
| utJdbcSourceChunkSplitter.efficientShardingThroughSampling( | ||
| null, new Object[] {1}, 1000, 1), | ||
| Arrays.asList(ChunkRange.of(null, 1), ChunkRange.of(1, null))); | ||
|
|
||
| check( | ||
| utJdbcSourceChunkSplitter.efficientShardingThroughSampling( | ||
| null, new Object[] {1}, 1000, 2), | ||
| Arrays.asList(ChunkRange.of(null, 1), ChunkRange.of(1, null))); | ||
|
|
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| check( | ||
| utJdbcSourceChunkSplitter.efficientShardingThroughSampling( | ||
| null, new Object[] {1, 2, 3}, 1000, 2), | ||
| Arrays.asList(ChunkRange.of(null, 2), ChunkRange.of(2, null))); | ||
|
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||
| check( | ||
| utJdbcSourceChunkSplitter.efficientShardingThroughSampling( | ||
| null, new Object[] {1, 2, 3}, 1000, 1), | ||
| Arrays.asList(ChunkRange.of(null, null))); | ||
|
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| check( | ||
| utJdbcSourceChunkSplitter.efficientShardingThroughSampling( | ||
| null, new Object[] {1, 2, 3}, 1000, 3), | ||
| Arrays.asList( | ||
| ChunkRange.of(null, 1), | ||
| ChunkRange.of(1, 2), | ||
| ChunkRange.of(2, 3), | ||
| ChunkRange.of(3, null))); | ||
|
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| check( | ||
| utJdbcSourceChunkSplitter.efficientShardingThroughSampling( | ||
| null, new Object[] {1, 2, 3, 4, 5}, 1000, 3), | ||
| Arrays.asList(ChunkRange.of(null, 2), ChunkRange.of(2, 4), ChunkRange.of(4, null))); | ||
| check( | ||
| utJdbcSourceChunkSplitter.efficientShardingThroughSampling( | ||
| null, new Object[] {1, 2, 3, 4, 5}, 1000, 2), | ||
| Arrays.asList(ChunkRange.of(null, 3), ChunkRange.of(3, null))); | ||
|
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| check( | ||
| utJdbcSourceChunkSplitter.efficientShardingThroughSampling( | ||
| null, new Object[] {1, 2, 3, 4, 5, 6}, 1000, 1), | ||
| Arrays.asList(ChunkRange.of(null, null))); | ||
|
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| check( | ||
| utJdbcSourceChunkSplitter.efficientShardingThroughSampling( | ||
| null, new Object[] {1, 2, 3, 4, 5, 6}, 1000, 3), | ||
| Arrays.asList(ChunkRange.of(null, 3), ChunkRange.of(3, 5), ChunkRange.of(5, null))); | ||
| check( | ||
| utJdbcSourceChunkSplitter.efficientShardingThroughSampling( | ||
| null, new Object[] {1, 2, 3, 4, 5, 6}, 1000, 4), | ||
| Arrays.asList( | ||
| ChunkRange.of(null, 2), | ||
| ChunkRange.of(2, 4), | ||
| ChunkRange.of(4, 5), | ||
| ChunkRange.of(5, null))); | ||
| check( | ||
| utJdbcSourceChunkSplitter.efficientShardingThroughSampling( | ||
| null, new Object[] {1, 2, 3, 4, 5, 6}, 1000, 5), | ||
| Arrays.asList( | ||
| ChunkRange.of(null, 2), | ||
| ChunkRange.of(2, 3), | ||
| ChunkRange.of(3, 4), | ||
| ChunkRange.of(4, 5), | ||
| ChunkRange.of(5, null))); | ||
| check( | ||
| utJdbcSourceChunkSplitter.efficientShardingThroughSampling( | ||
| null, new Object[] {1, 2, 3, 4, 5, 6}, 1000, 6), | ||
| Arrays.asList( | ||
| ChunkRange.of(null, 1), | ||
| ChunkRange.of(1, 2), | ||
| ChunkRange.of(2, 3), | ||
| ChunkRange.of(3, 4), | ||
| ChunkRange.of(4, 5), | ||
| ChunkRange.of(5, 6), | ||
| ChunkRange.of(6, null))); | ||
| } | ||
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| private void check(List<ChunkRange> a, List<ChunkRange> b) { | ||
| checkRule(b); | ||
| assertEquals(a, b); | ||
| } | ||
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| private void checkRule(List<ChunkRange> a) { | ||
| for (int i = 0; i < a.size(); i++) { | ||
| if (i == 0) { | ||
| assertNull(a.get(i).getChunkStart()); | ||
| } | ||
| if (i == a.size() - 1) { | ||
| assertNull(a.get(i).getChunkEnd()); | ||
| } | ||
| // current chunk start should be equal to previous chunk end | ||
| if (i > 0) { | ||
| assertEquals(a.get(i - 1).getChunkEnd(), a.get(i).getChunkStart()); | ||
| } | ||
| if (i > 0 && i < a.size() - 1) { | ||
| // current chunk end should be greater than current chunk start | ||
| assertTrue((int) a.get(i).getChunkEnd() > (int) a.get(i).getChunkStart()); | ||
| } | ||
| } | ||
| } | ||
|
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| public static class UtJdbcSourceChunkSplitter extends AbstractJdbcSourceChunkSplitter { | ||
|
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| public UtJdbcSourceChunkSplitter() { | ||
| super(null, null); | ||
| } | ||
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| @Override | ||
| public Object[] queryMinMax(JdbcConnection jdbc, TableId tableId, String columnName) | ||
| throws SQLException { | ||
| return new Object[0]; | ||
| } | ||
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| @Override | ||
| public Object queryMin( | ||
| JdbcConnection jdbc, TableId tableId, String columnName, Object excludedLowerBound) | ||
| throws SQLException { | ||
| return null; | ||
| } | ||
|
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| @Override | ||
| public Object[] sampleDataFromColumn( | ||
| JdbcConnection jdbc, TableId tableId, String columnName, int samplingRate) | ||
| throws SQLException { | ||
| return new Object[0]; | ||
| } | ||
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| @Override | ||
| public Object queryNextChunkMax( | ||
| JdbcConnection jdbc, | ||
| TableId tableId, | ||
| String columnName, | ||
| int chunkSize, | ||
| Object includedLowerBound) | ||
| throws SQLException { | ||
| return null; | ||
| } | ||
|
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| @Override | ||
| public Long queryApproximateRowCnt(JdbcConnection jdbc, TableId tableId) | ||
| throws SQLException { | ||
| return null; | ||
| } | ||
|
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| @Override | ||
| public String buildSplitScanQuery( | ||
| TableId tableId, | ||
| SeaTunnelRowType splitKeyType, | ||
| boolean isFirstSplit, | ||
| boolean isLastSplit) { | ||
| return null; | ||
| } | ||
|
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| @Override | ||
| public SeaTunnelDataType<?> fromDbzColumn(Column splitColumn) { | ||
| return null; | ||
| } | ||
| } | ||
| } |
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