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1.13版本Doris连接,作为来源隐藏会收集到隐藏位置“__DORIS_DELETE_”,读取数据会报错 (DataLinkDC#717)
* 1.13版本Doris连接,作为来源隐藏会收集到隐藏位置“__DORIS_DELETE_”,读取数据会报错 * build 修改 * doris 连接器版本修改为0.6.6-SNAPSHOT Co-authored-by: zhaoxiaojiang <zhaoxiaojiang@aliyun.com>
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<?xml version="1.0" encoding="UTF-8"?> | ||
<project xmlns="http://maven.apache.org/POM/4.0.0" | ||
xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" | ||
xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd"> | ||
<parent> | ||
<artifactId>dlink-connectors</artifactId> | ||
<groupId>com.dlink</groupId> | ||
<version>0.6.6-SNAPSHOT</version> | ||
</parent> | ||
<modelVersion>4.0.0</modelVersion> | ||
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<artifactId>dlink-connector-doris-1.13</artifactId> | ||
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<properties> | ||
<java.version>1.8</java.version> | ||
<flink.version>1.13.6</flink.version> | ||
<maven.compiler.source>1.8</maven.compiler.source> | ||
<maven.compiler.target>1.8</maven.compiler.target> | ||
</properties> | ||
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<dependencies> | ||
<dependency> | ||
<groupId>org.apache.flink</groupId> | ||
<artifactId>flink-table-api-java-bridge_2.12</artifactId> | ||
<version>${flink.version}</version> | ||
<scope>provided</scope> | ||
</dependency> | ||
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<dependency> | ||
<groupId>org.apache.doris</groupId> | ||
<artifactId>flink-doris-connector-1.13_2.12</artifactId> | ||
<version>1.0.3</version> | ||
</dependency> | ||
</dependencies> | ||
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<build> | ||
<plugins> | ||
<plugin> | ||
<groupId>org.apache.maven.plugins</groupId> | ||
<artifactId>maven-shade-plugin</artifactId> | ||
<version>3.2.0</version> | ||
<executions> | ||
<execution> | ||
<phase>package</phase> | ||
<goals> | ||
<goal>shade</goal> | ||
</goals> | ||
</execution> | ||
</executions> | ||
</plugin> | ||
</plugins> | ||
</build> | ||
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</project> |
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...ink-connector-doris-1.13/src/main/java/org/apache/doris/flink/serialization/RowBatch.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.doris.flink.serialization; | ||
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import org.apache.doris.shaded.org.apache.arrow.memory.RootAllocator; | ||
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import org.apache.doris.shaded.org.apache.arrow.vector.BigIntVector; | ||
import org.apache.doris.shaded.org.apache.arrow.vector.BitVector; | ||
import org.apache.doris.shaded.org.apache.arrow.vector.DecimalVector; | ||
import org.apache.doris.shaded.org.apache.arrow.vector.FieldVector; | ||
import org.apache.doris.shaded.org.apache.arrow.vector.Float4Vector; | ||
import org.apache.doris.shaded.org.apache.arrow.vector.Float8Vector; | ||
import org.apache.doris.shaded.org.apache.arrow.vector.IntVector; | ||
import org.apache.doris.shaded.org.apache.arrow.vector.SmallIntVector; | ||
import org.apache.doris.shaded.org.apache.arrow.vector.TinyIntVector; | ||
import org.apache.doris.shaded.org.apache.arrow.vector.VarBinaryVector; | ||
import org.apache.doris.shaded.org.apache.arrow.vector.VarCharVector; | ||
import org.apache.doris.shaded.org.apache.arrow.vector.VectorSchemaRoot; | ||
import org.apache.doris.shaded.org.apache.arrow.vector.ipc.ArrowStreamReader; | ||
import org.apache.doris.shaded.org.apache.arrow.vector.types.Types; | ||
import org.apache.doris.flink.exception.DorisException; | ||
import org.apache.doris.flink.rest.models.Schema; | ||
import org.apache.doris.thrift.TScanBatchResult; | ||
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import org.apache.flink.table.data.DecimalData; | ||
import org.apache.flink.table.data.StringData; | ||
import org.apache.flink.util.Preconditions; | ||
import org.slf4j.Logger; | ||
import org.slf4j.LoggerFactory; | ||
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import java.io.ByteArrayInputStream; | ||
import java.io.IOException; | ||
import java.math.BigDecimal; | ||
import java.util.ArrayList; | ||
import java.util.List; | ||
import java.util.NoSuchElementException; | ||
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/** | ||
* row batch data container. | ||
*/ | ||
public class RowBatch { | ||
private static Logger logger = LoggerFactory.getLogger(RowBatch.class); | ||
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public static class Row { | ||
private List<Object> cols; | ||
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Row(int colCount) { | ||
this.cols = new ArrayList<>(colCount); | ||
} | ||
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public List<Object> getCols() { | ||
return cols; | ||
} | ||
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public void put(Object o) { | ||
cols.add(o); | ||
} | ||
} | ||
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// offset for iterate the rowBatch | ||
private int offsetInRowBatch = 0; | ||
private int rowCountInOneBatch = 0; | ||
private int readRowCount = 0; | ||
private List<Row> rowBatch = new ArrayList<>(); | ||
private final ArrowStreamReader arrowStreamReader; | ||
private VectorSchemaRoot root; | ||
private List<FieldVector> fieldVectors; | ||
private RootAllocator rootAllocator; | ||
private final Schema schema; | ||
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public List<Row> getRowBatch() { | ||
return rowBatch; | ||
} | ||
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public RowBatch(TScanBatchResult nextResult, Schema schema) { | ||
this.schema = schema; | ||
this.rootAllocator = new RootAllocator(Integer.MAX_VALUE); | ||
this.arrowStreamReader = new ArrowStreamReader( | ||
new ByteArrayInputStream(nextResult.getRows()), | ||
rootAllocator | ||
); | ||
this.offsetInRowBatch = 0; | ||
} | ||
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public RowBatch readArrow() throws DorisException { | ||
try { | ||
this.root = arrowStreamReader.getVectorSchemaRoot(); | ||
while (arrowStreamReader.loadNextBatch()) { | ||
fieldVectors = root.getFieldVectors(); | ||
if (fieldVectors.size() != schema.size()) { | ||
logger.error("Schema size '{}' is not equal to arrow field size '{}'.", | ||
fieldVectors.size(), schema.size()); | ||
throw new DorisException("Load Doris data failed, schema size of fetch data is wrong."); | ||
} | ||
if (fieldVectors.size() == 0 || root.getRowCount() == 0) { | ||
logger.debug("One batch in arrow has no data."); | ||
continue; | ||
} | ||
rowCountInOneBatch = root.getRowCount(); | ||
// init the rowBatch | ||
for (int i = 0; i < rowCountInOneBatch; ++i) { | ||
rowBatch.add(new Row(fieldVectors.size())); | ||
} | ||
convertArrowToRowBatch(); | ||
readRowCount += root.getRowCount(); | ||
} | ||
return this; | ||
} catch (Exception e) { | ||
logger.error("Read Doris Data failed because: ", e); | ||
throw new DorisException(e.getMessage()); | ||
} finally { | ||
close(); | ||
} | ||
} | ||
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public boolean hasNext() { | ||
if (offsetInRowBatch < readRowCount) { | ||
return true; | ||
} | ||
return false; | ||
} | ||
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private void addValueToRow(int rowIndex, Object obj) { | ||
if (rowIndex > rowCountInOneBatch) { | ||
String errMsg = "Get row offset: " + rowIndex + " larger than row size: " + | ||
rowCountInOneBatch; | ||
logger.error(errMsg); | ||
throw new NoSuchElementException(errMsg); | ||
} | ||
rowBatch.get(readRowCount + rowIndex).put(obj); | ||
} | ||
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public void convertArrowToRowBatch() throws DorisException { | ||
try { | ||
for (int col = 0; col < fieldVectors.size(); col++) { | ||
FieldVector curFieldVector = fieldVectors.get(col); | ||
Types.MinorType mt = curFieldVector.getMinorType(); | ||
if ("__DORIS_DELETE_SIGN__".equals(schema.get(col).getName())) { | ||
continue; | ||
} | ||
final String currentType = schema.get(col).getType(); | ||
switch (currentType) { | ||
case "NULL_TYPE": | ||
for (int rowIndex = 0; rowIndex < rowCountInOneBatch; rowIndex++) { | ||
addValueToRow(rowIndex, null); | ||
} | ||
break; | ||
case "BOOLEAN": | ||
Preconditions.checkArgument(mt.equals(Types.MinorType.BIT), | ||
typeMismatchMessage(currentType, mt)); | ||
BitVector bitVector = (BitVector) curFieldVector; | ||
for (int rowIndex = 0; rowIndex < rowCountInOneBatch; rowIndex++) { | ||
Object fieldValue = bitVector.isNull(rowIndex) ? null : bitVector.get(rowIndex) != 0; | ||
addValueToRow(rowIndex, fieldValue); | ||
} | ||
break; | ||
case "TINYINT": | ||
Preconditions.checkArgument(mt.equals(Types.MinorType.TINYINT), | ||
typeMismatchMessage(currentType, mt)); | ||
TinyIntVector tinyIntVector = (TinyIntVector) curFieldVector; | ||
for (int rowIndex = 0; rowIndex < rowCountInOneBatch; rowIndex++) { | ||
Object fieldValue = tinyIntVector.isNull(rowIndex) ? null : tinyIntVector.get(rowIndex); | ||
addValueToRow(rowIndex, fieldValue); | ||
} | ||
break; | ||
case "SMALLINT": | ||
Preconditions.checkArgument(mt.equals(Types.MinorType.SMALLINT), | ||
typeMismatchMessage(currentType, mt)); | ||
SmallIntVector smallIntVector = (SmallIntVector) curFieldVector; | ||
for (int rowIndex = 0; rowIndex < rowCountInOneBatch; rowIndex++) { | ||
Object fieldValue = smallIntVector.isNull(rowIndex) ? null : smallIntVector.get(rowIndex); | ||
addValueToRow(rowIndex, fieldValue); | ||
} | ||
break; | ||
case "INT": | ||
Preconditions.checkArgument(mt.equals(Types.MinorType.INT), | ||
typeMismatchMessage(currentType, mt)); | ||
IntVector intVector = (IntVector) curFieldVector; | ||
for (int rowIndex = 0; rowIndex < rowCountInOneBatch; rowIndex++) { | ||
Object fieldValue = intVector.isNull(rowIndex) ? null : intVector.get(rowIndex); | ||
addValueToRow(rowIndex, fieldValue); | ||
} | ||
break; | ||
case "BIGINT": | ||
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Preconditions.checkArgument(mt.equals(Types.MinorType.BIGINT), | ||
typeMismatchMessage(currentType, mt)); | ||
BigIntVector bigIntVector = (BigIntVector) curFieldVector; | ||
for (int rowIndex = 0; rowIndex < rowCountInOneBatch; rowIndex++) { | ||
Object fieldValue = bigIntVector.isNull(rowIndex) ? null : bigIntVector.get(rowIndex); | ||
addValueToRow(rowIndex, fieldValue); | ||
} | ||
break; | ||
case "FLOAT": | ||
Preconditions.checkArgument(mt.equals(Types.MinorType.FLOAT4), | ||
typeMismatchMessage(currentType, mt)); | ||
Float4Vector float4Vector = (Float4Vector) curFieldVector; | ||
for (int rowIndex = 0; rowIndex < rowCountInOneBatch; rowIndex++) { | ||
Object fieldValue = float4Vector.isNull(rowIndex) ? null : float4Vector.get(rowIndex); | ||
addValueToRow(rowIndex, fieldValue); | ||
} | ||
break; | ||
case "TIME": | ||
case "DOUBLE": | ||
Preconditions.checkArgument(mt.equals(Types.MinorType.FLOAT8), | ||
typeMismatchMessage(currentType, mt)); | ||
Float8Vector float8Vector = (Float8Vector) curFieldVector; | ||
for (int rowIndex = 0; rowIndex < rowCountInOneBatch; rowIndex++) { | ||
Object fieldValue = float8Vector.isNull(rowIndex) ? null : float8Vector.get(rowIndex); | ||
addValueToRow(rowIndex, fieldValue); | ||
} | ||
break; | ||
case "BINARY": | ||
Preconditions.checkArgument(mt.equals(Types.MinorType.VARBINARY), | ||
typeMismatchMessage(currentType, mt)); | ||
VarBinaryVector varBinaryVector = (VarBinaryVector) curFieldVector; | ||
for (int rowIndex = 0; rowIndex < rowCountInOneBatch; rowIndex++) { | ||
Object fieldValue = varBinaryVector.isNull(rowIndex) ? null : varBinaryVector.get(rowIndex); | ||
addValueToRow(rowIndex, fieldValue); | ||
} | ||
break; | ||
case "DECIMAL": | ||
case "DECIMALV2": | ||
Preconditions.checkArgument(mt.equals(Types.MinorType.DECIMAL), | ||
typeMismatchMessage(currentType, mt)); | ||
DecimalVector decimalVector = (DecimalVector) curFieldVector; | ||
for (int rowIndex = 0; rowIndex < rowCountInOneBatch; rowIndex++) { | ||
if (decimalVector.isNull(rowIndex)) { | ||
addValueToRow(rowIndex, null); | ||
continue; | ||
} | ||
BigDecimal value = decimalVector.getObject(rowIndex).stripTrailingZeros(); | ||
addValueToRow(rowIndex, DecimalData.fromBigDecimal(value, value.precision(), value.scale())); | ||
} | ||
break; | ||
case "DATE": | ||
case "LARGEINT": | ||
case "DATETIME": | ||
case "CHAR": | ||
case "VARCHAR": | ||
case "STRING": | ||
Preconditions.checkArgument(mt.equals(Types.MinorType.VARCHAR), | ||
typeMismatchMessage(currentType, mt)); | ||
VarCharVector varCharVector = (VarCharVector) curFieldVector; | ||
for (int rowIndex = 0; rowIndex < rowCountInOneBatch; rowIndex++) { | ||
if (varCharVector.isNull(rowIndex)) { | ||
addValueToRow(rowIndex, null); | ||
continue; | ||
} | ||
String value = new String(varCharVector.get(rowIndex)); | ||
addValueToRow(rowIndex, StringData.fromString(value)); | ||
} | ||
break; | ||
default: | ||
String errMsg = "Unsupported type " + schema.get(col).getType(); | ||
logger.error(errMsg); | ||
throw new DorisException(errMsg); | ||
} | ||
} | ||
} catch (Exception e) { | ||
close(); | ||
throw e; | ||
} | ||
} | ||
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public List<Object> next() throws DorisException { | ||
if (!hasNext()) { | ||
String errMsg = "Get row offset:" + offsetInRowBatch + " larger than row size: " + readRowCount; | ||
logger.error(errMsg); | ||
throw new NoSuchElementException(errMsg); | ||
} | ||
return rowBatch.get(offsetInRowBatch++).getCols(); | ||
} | ||
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private String typeMismatchMessage(final String sparkType, final Types.MinorType arrowType) { | ||
final String messageTemplate = "FLINK type is %1$s, but arrow type is %2$s."; | ||
return String.format(messageTemplate, sparkType, arrowType.name()); | ||
} | ||
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public int getReadRowCount() { | ||
return readRowCount; | ||
} | ||
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public void close() { | ||
try { | ||
if (arrowStreamReader != null) { | ||
arrowStreamReader.close(); | ||
} | ||
if (rootAllocator != null) { | ||
rootAllocator.close(); | ||
} | ||
} catch (IOException ioe) { | ||
// do nothing | ||
} | ||
} | ||
} |
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