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Merge pull request #1910 from alibaba/datax_0913

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Datax month 9 features
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peng lin 2023-09-13 11:41:55 +08:00 committed by GitHub
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49 changed files with 2488 additions and 592 deletions
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9
README.md
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@ -110,6 +110,15 @@ DataX目前已经有了比较全面的插件体系，主流的RDBMS数据库、N
DataX 后续计划月度迭代更新，也欢迎感兴趣的同学提交 Pull requests，月度更新内容会介绍介绍如下。
- [datax_v202309]（https://github.com/alibaba/DataX/releases/tag/datax_v202309)
- 支持Phoenix 同步数据添加 where条件
- 支持华为 GuassDB读写插件
- 修复ClickReader 插件运行报错 Can't find bundle for base name
- 增加 DataX调试模块
- 修复 orc空文件报错问题
- 优化obwriter性能
- txtfilewriter 增加导出为insert语句功能支持
- [datax_v202308]（https://github.com/alibaba/DataX/releases/tag/datax_v202308)
- OTS 插件更新
- databend 插件更新

2
clickhousereader/src/main/java/com/alibaba/datax/plugin/reader/clickhousereader/ClickhouseReader.java
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@ -27,8 +27,6 @@ public class ClickhouseReader extends Reader {
private static final Logger LOG = LoggerFactory.getLogger(ClickhouseReader.class);
public static class Job extends Reader.Job {
private static MessageSource MESSAGE_SOURCE = MessageSource.loadResourceBundle(ClickhouseReader.class);
private Configuration jobConfig = null;
private CommonRdbmsReader.Job commonRdbmsReaderMaster;

74
clickhousereader/src/test/java/com/alibaba/datax/plugin/reader/clickhousereader/ClickhouseReaderTest.java
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@ -1,74 +0,0 @@
package com.alibaba.datax.plugin.reader.clickhousereader;
import java.io.File;
import java.io.FileNotFoundException;
import java.io.FileOutputStream;
import java.io.OutputStream;
import java.util.ArrayList;
import java.util.List;
import com.alibaba.datax.common.element.Column;
import com.alibaba.datax.common.element.Record;
import com.alibaba.datax.common.util.Configuration;
import com.alibaba.datax.dataxservice.face.eventcenter.EventLogStore;
import com.alibaba.datax.dataxservice.face.eventcenter.RuntimeContext;
import com.alibaba.datax.test.simulator.BasicReaderPluginTest;
import com.alibaba.datax.test.simulator.junit.extend.log.LoggedRunner;
import com.alibaba.datax.test.simulator.junit.extend.log.TestLogger;
import com.alibaba.fastjson.JSON;
import org.apache.commons.lang3.ArrayUtils;
import org.junit.Assert;
import org.junit.Ignore;
import org.junit.Test;
import org.junit.runner.RunWith;
@RunWith(LoggedRunner.class)
@Ignore
public class ClickhouseReaderTest extends BasicReaderPluginTest {
@TestLogger(log = "测试basic1.json. 配置常量.")
@Test
public void testBasic1() {
RuntimeContext.setGlobalJobId(-1);
EventLogStore.init();
List<Record> noteRecordForTest = new ArrayList<Record>();
List<Configuration> subjobs = super.doReaderTest("basic1.json", 1, noteRecordForTest);
Assert.assertEquals(1, subjobs.size());
Assert.assertEquals(1, noteRecordForTest.size());
Assert.assertEquals("[8,16,32,64,-8,-16,-32,-64,\"3.2\",\"6.4\",1,\"str_col\",\"abc\"," + "\"417ddc5d-e556-4d27-95dd-a34d84e46a50\",1580745600000,1580752800000,\"hello\",\"[1,2,3]\"," + "\"[\\\"abc\\\",\\\"cde\\\"]\",\"(8,'uint8_type')\",null,\"[1,2]\",\"[\\\"x\\\",\\\"y\\\"]\",\"127.0.0.1\",\"::\",\"23.345\"]", JSON.toJSONString(listData(noteRecordForTest.get(0))));
}
@Override
protected OutputStream buildDataOutput(String optionalOutputName) {
File f = new File(optionalOutputName + "-output.txt");
try {
return new FileOutputStream(f);
} catch (FileNotFoundException e) {
e.printStackTrace();
}
return null;
}
@Override
public String getTestPluginName() {
return "clickhousereader";
}
private Object[] listData(Record record) {
if (null == record) {
return ArrayUtils.EMPTY_OBJECT_ARRAY;
}
Object[] arr = new Object[record.getColumnNumber()];
for (int i = 0; i < arr.length; i++) {
Column col = record.getColumn(i);
if (null != col) {
arr[i] = col.getRawData();
}
}
return arr;
}
}

57
common/src/main/java/com/alibaba/datax/common/element/DateColumn.java
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@ -5,6 +5,7 @@ import com.alibaba.datax.common.exception.DataXException;
import java.math.BigDecimal;
import java.math.BigInteger;
import java.sql.Time;
import java.util.Date;
/**
@ -12,18 +13,54 @@ import java.util.Date;
*/
public class DateColumn extends Column {
private DateType subType = DateType.DATETIME;
private DateType subType = DateType.DATETIME;
public static enum DateType {
DATE, TIME, DATETIME
}
private int nanos = 0;
/**
* 构建值为null的DateColumn，使用Date子类型为DATETIME
* */
public DateColumn() {
this((Long)null);
}
private int precision = -1;
public static enum DateType {
DATE, TIME, DATETIME
}
/**
* 构建值为time(java.sql.Time)的DateColumn，使用Date子类型为TIME，只有时间，没有日期
*/
public DateColumn(Time time, int nanos, int jdbcPrecision) {
this(time);
if (time != null) {
setNanos(nanos);
}
if (jdbcPrecision == 10) {
setPrecision(0);
}
if (jdbcPrecision >= 12 && jdbcPrecision <= 17) {
setPrecision(jdbcPrecision - 11);
}
}
public long getNanos() {
return nanos;
}
public void setNanos(int nanos) {
this.nanos = nanos;
}
public int getPrecision() {
return precision;
}
public void setPrecision(int precision) {
this.precision = precision;
}
/**
* 构建值为null的DateColumn，使用Date子类型为DATETIME
*/
public DateColumn() {
this((Long) null);
}
/**
* 构建值为stamp(Unix时间戳)的DateColumn，使用Date子类型为DATETIME

34
common/src/main/java/com/alibaba/datax/common/util/LimitLogger.java Normal file
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@ -0,0 +1,34 @@
package com.alibaba.datax.common.util;
import org.apache.commons.lang3.StringUtils;
import java.util.HashMap;
import java.util.Map;
/**
* @author jitongchen
* @date 2023/9/7 9:47 AM
*/
public class LimitLogger {
private static Map<String, Long> lastPrintTime = new HashMap<>();
public static void limit(String name, long limit, LoggerFunction function) {
if (StringUtils.isBlank(name)) {
name = "__all__";
}
if (limit <= 0) {
function.apply();
} else {
if (!lastPrintTime.containsKey(name)) {
lastPrintTime.put(name, System.currentTimeMillis());
function.apply();
} else {
if (System.currentTimeMillis() > lastPrintTime.get(name) + limit) {
lastPrintTime.put(name, System.currentTimeMillis());
function.apply();
}
}
}
}
}

10
common/src/main/java/com/alibaba/datax/common/util/LoggerFunction.java Normal file
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@ -0,0 +1,10 @@
package com.alibaba.datax.common.util;
/**
* @author molin.lxd
* @date 2021-05-09
*/
public interface LoggerFunction {
void apply();
}

39
hdfsreader/pom.xml
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@ -1,5 +1,6 @@
<?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">
<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>datax-all</artifactId>
<groupId>com.alibaba.datax</groupId>
@ -111,6 +112,42 @@
<version>${datax-project-version}</version>
</dependency>
<dependency>
<groupId>org.apache.parquet</groupId>
<artifactId>parquet-column</artifactId>
<version>1.12.0</version>
</dependency>
<dependency>
<groupId>org.apache.parquet</groupId>
<artifactId>parquet-avro</artifactId>
<version>1.12.0</version>
</dependency>
<dependency>
<groupId>org.apache.parquet</groupId>
<artifactId>parquet-common</artifactId>
<version>1.12.0</version>
</dependency>
<dependency>
<groupId>org.apache.parquet</groupId>
<artifactId>parquet-format</artifactId>
<version>2.3.0</version>
</dependency>
<dependency>
<groupId>org.apache.parquet</groupId>
<artifactId>parquet-jackson</artifactId>
<version>1.12.0</version>
</dependency>
<dependency>
<groupId>org.apache.parquet</groupId>
<artifactId>parquet-encoding</artifactId>
<version>1.12.0</version>
</dependency>
<dependency>
<groupId>org.apache.parquet</groupId>
<artifactId>parquet-hadoop</artifactId>
<version>1.12.0</version>
</dependency>
</dependencies>
<build>

22
hdfsreader/src/main/assembly/package.xml
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@ -37,6 +37,28 @@
<!--</includes>-->
<!--<outputDirectory>plugin/reader/hdfsreader/libs</outputDirectory>-->
<!--</fileSet>-->
<!--<fileSet>-->
<!--<directory>src/main/libs</directory>-->
<!--<includes>-->
<!--<include>*.*</include>-->
<!--</includes>-->
<!--<outputDirectory>plugin/reader/hdfsreader/libs</outputDirectory>-->
<!--</fileSet>-->
<fileSet>
<directory>src/main/libs</directory>
<includes>
<include>*.*</include>
</includes>
<outputDirectory>plugin/reader/ossreader/libs</outputDirectory>
</fileSet>
<fileSet>
<directory>src/main/libs</directory>
<includes>
<include>*.*</include>
</includes>
<outputDirectory>plugin/reader/hivereader/libs</outputDirectory>
</fileSet>
</fileSets>
<dependencySets>

1
hdfsreader/src/main/java/com/alibaba/datax/plugin/reader/hdfsreader/Constant.java
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@ -10,4 +10,5 @@ public class Constant {
public static final String CSV = "CSV";
public static final String SEQ = "SEQ";
public static final String RC = "RC";
public static final String PARQUET = "PARQUET";
}

408
hdfsreader/src/main/java/com/alibaba/datax/plugin/reader/hdfsreader/DFSUtil.java
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@ -9,12 +9,16 @@ import com.alibaba.datax.plugin.unstructuredstorage.reader.ColumnEntry;
import com.alibaba.datax.plugin.unstructuredstorage.reader.UnstructuredStorageReaderErrorCode;
import com.alibaba.datax.plugin.unstructuredstorage.reader.UnstructuredStorageReaderUtil;
import com.alibaba.fastjson2.JSON;
import com.alibaba.fastjson2.JSONArray;
import com.alibaba.fastjson2.JSONObject;
import org.apache.commons.lang3.BooleanUtils;
import org.apache.commons.lang3.StringUtils;
import org.apache.commons.lang3.exception.ExceptionUtils;
import org.apache.hadoop.fs.FSDataInputStream;
import org.apache.hadoop.fs.FileStatus;
import org.apache.hadoop.fs.FileSystem;
import org.apache.hadoop.fs.Path;
import org.apache.hadoop.hive.common.type.HiveDecimal;
import org.apache.hadoop.hive.ql.io.RCFile;
import org.apache.hadoop.hive.ql.io.RCFileRecordReader;
import org.apache.hadoop.hive.ql.io.orc.OrcFile;
@ -29,14 +33,30 @@ import org.apache.hadoop.io.*;
import org.apache.hadoop.mapred.*;
import org.apache.hadoop.security.UserGroupInformation;
import org.apache.hadoop.util.ReflectionUtils;
import org.apache.parquet.example.data.Group;
import org.apache.parquet.hadoop.ParquetReader;
import org.apache.parquet.hadoop.example.GroupReadSupport;
import org.apache.parquet.hadoop.util.HadoopInputFile;
import org.apache.parquet.io.api.Binary;
import org.apache.parquet.schema.MessageType;
import org.apache.parquet.schema.MessageTypeParser;
import org.apache.parquet.schema.PrimitiveType;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import java.io.IOException;
import java.io.InputStream;
import java.nio.ByteBuffer;
import java.nio.ByteOrder;
import java.sql.Timestamp;
import java.text.SimpleDateFormat;
import java.time.LocalDate;
import java.time.LocalDateTime;
import java.time.LocalTime;
import java.util.*;
import java.util.concurrent.ConcurrentHashMap;
import java.util.concurrent.TimeUnit;
import java.util.stream.Collectors;
/**
* Created by mingya.wmy on 2015/8/12.
@ -56,6 +76,10 @@ public class DFSUtil {
public static final String HDFS_DEFAULTFS_KEY = "fs.defaultFS";
public static final String HADOOP_SECURITY_AUTHENTICATION_KEY = "hadoop.security.authentication";
private Boolean skipEmptyOrcFile = false;
private Integer orcFileEmptySize = null;
public DFSUtil(Configuration taskConfig) {
hadoopConf = new org.apache.hadoop.conf.Configuration();
@ -79,6 +103,7 @@ public class DFSUtil {
this.hadoopConf.set(HADOOP_SECURITY_AUTHENTICATION_KEY, "kerberos");
}
this.kerberosAuthentication(this.kerberosPrincipal, this.kerberosKeytabFilePath);
this.skipEmptyOrcFile = taskConfig.getBool(Key.SKIP_EMPTY_ORCFILE, false);
LOG.info(String.format("hadoopConfig details:%s", JSON.toJSONString(this.hadoopConf)));
}
@ -102,10 +127,11 @@ public class DFSUtil {
* @param srcPaths 路径列表
* @param specifiedFileType 指定文件类型
*/
public HashSet<String> getAllFiles(List<String> srcPaths, String specifiedFileType) {
public HashSet<String> getAllFiles(List<String> srcPaths, String specifiedFileType, Boolean skipEmptyOrcFile, Integer orcFileEmptySize) {
this.specifiedFileType = specifiedFileType;
this.skipEmptyOrcFile = skipEmptyOrcFile;
this.orcFileEmptySize = orcFileEmptySize;
if (!srcPaths.isEmpty()) {
for (String eachPath : srcPaths) {
LOG.info(String.format("get HDFS all files in path = [%s]", eachPath));
@ -127,9 +153,13 @@ public class DFSUtil {
FileStatus stats[] = hdfs.globStatus(path);
for (FileStatus f : stats) {
if (f.isFile()) {
if (f.getLen() == 0) {
long fileLength = f.getLen();
if (fileLength == 0) {
String message = String.format("文件[%s]长度为0，将会跳过不作处理！", hdfsPath);
LOG.warn(message);
} else if (BooleanUtils.isTrue(this.skipEmptyOrcFile) && this.orcFileEmptySize != null && fileLength <= this.orcFileEmptySize) {
String message = String.format("The orc file [%s] is empty, file size: %s, DataX will skip it !", f.getPath().toString(), fileLength);
LOG.warn(message);
} else {
addSourceFileByType(f.getPath().toString());
}
@ -167,7 +197,16 @@ public class DFSUtil {
LOG.info(String.format("[%s] 是目录, 递归获取该目录下的文件", f.getPath().toString()));
getHDFSAllFilesNORegex(f.getPath().toString(), hdfs);
} else if (f.isFile()) {
long fileLength = f.getLen();
if (fileLength == 0) {
String message = String.format("The file [%s] is empty, DataX will skip it !", f.getPath().toString());
LOG.warn(message);
continue;
} else if (BooleanUtils.isTrue(this.skipEmptyOrcFile) && this.orcFileEmptySize != null && fileLength <= this.orcFileEmptySize) {
String message = String.format("The orc file [%s] is empty, file size: %s, DataX will skip it !", f.getPath().toString(), fileLength);
LOG.warn(message);
continue;
}
addSourceFileByType(f.getPath().toString());
} else {
String message = String.format("该路径[%s]文件类型既不是目录也不是文件，插件自动忽略。",
@ -332,7 +371,19 @@ public class DFSUtil {
//Each file as a split
//TODO multy threads
// OrcInputFormat getSplits params numSplits not used, splits size = block numbers
InputSplit[] splits = in.getSplits(conf, -1);
InputSplit[] splits;
try {
splits = in.getSplits(conf, 1);
} catch (Exception splitException) {
if (Boolean.TRUE.equals(this.skipEmptyOrcFile)) {
boolean isOrcFileEmptyException = checkIsOrcEmptyFileExecption(splitException);
if (isOrcFileEmptyException) {
LOG.info("skipEmptyOrcFile: true, \"{}\" is an empty orc file, skip it!", sourceOrcFilePath);
return;
}
}
throw splitException;
}
for (InputSplit split : splits) {
{
RecordReader reader = in.getRecordReader(split, conf, Reporter.NULL);
@ -349,8 +400,11 @@ public class DFSUtil {
Object field = inspector.getStructFieldData(value, fields.get(i));
recordFields.add(field);
}
List<ColumnEntry> hivePartitionColumnEntrys = UnstructuredStorageReaderUtil.getListColumnEntry(readerSliceConfig, com.alibaba.datax.plugin.unstructuredstorage.reader.Key.HIVE_PARTION_COLUMN);
ArrayList<Column> hivePartitionColumns = new ArrayList<>();
hivePartitionColumns = UnstructuredStorageReaderUtil.getHivePartitionColumns(sourceOrcFilePath, hivePartitionColumnEntrys);
transportOneRecord(column, recordFields, recordSender,
taskPluginCollector, isReadAllColumns, nullFormat);
taskPluginCollector, isReadAllColumns, nullFormat,hivePartitionColumns);
}
reader.close();
}
@ -367,8 +421,20 @@ public class DFSUtil {
}
}
private boolean checkIsOrcEmptyFileExecption(Exception e) {
if (e == null) {
return false;
}
String fullStackTrace = ExceptionUtils.getStackTrace(e);
if (fullStackTrace.contains("org.apache.orc.impl.ReaderImpl.getRawDataSizeOfColumn") && fullStackTrace.contains("Caused by: java.lang.IndexOutOfBoundsException: Index: 1, Size: 1")) {
return true;
}
return false;
}
private Record transportOneRecord(List<ColumnEntry> columnConfigs, List<Object> recordFields
, RecordSender recordSender, TaskPluginCollector taskPluginCollector, boolean isReadAllColumns, String nullFormat) {
, RecordSender recordSender, TaskPluginCollector taskPluginCollector, boolean isReadAllColumns, String nullFormat, ArrayList<Column> hiveParitionColumns) {
Record record = recordSender.createRecord();
Column columnGenerated;
try {
@ -693,4 +759,332 @@ public class DFSUtil {
return false;
}
public void parquetFileStartRead(String sourceParquetFilePath, Configuration readerSliceConfig, RecordSender recordSender, TaskPluginCollector taskPluginCollector) {
String schemaString = readerSliceConfig.getString(Key.PARQUET_SCHEMA);
if (StringUtils.isNotBlank(schemaString)) {
LOG.info("You config parquet schema, use it {}", schemaString);
} else {
schemaString = getParquetSchema(sourceParquetFilePath, hadoopConf);
LOG.info("Parquet schema parsed from: {} , schema is {}", sourceParquetFilePath, schemaString);
if (StringUtils.isBlank(schemaString)) {
throw DataXException.asDataXException("ParquetSchema is required, please check your config");
}
}
MessageType parquetSchema = null;
List<org.apache.parquet.schema.Type> parquetTypes = null;
Map<String, ParquetMeta> parquetMetaMap = null;
int fieldCount = 0;
try {
parquetSchema = MessageTypeParser.parseMessageType(schemaString);
fieldCount = parquetSchema.getFieldCount();
parquetTypes = parquetSchema.getFields();
parquetMetaMap = ParquetMessageHelper.parseParquetTypes(parquetTypes);
} catch (Exception e) {
String message = String.format("Error parsing to MessageType via Schema string [%s]", schemaString);
LOG.error(message);
throw DataXException.asDataXException(HdfsReaderErrorCode.PARSE_MESSAGE_TYPE_FROM_SCHEMA_ERROR, e);
}
List<ColumnEntry> column = UnstructuredStorageReaderUtil.getListColumnEntry(readerSliceConfig, com.alibaba.datax.plugin.unstructuredstorage.reader.Key.COLUMN);
String nullFormat = readerSliceConfig.getString(com.alibaba.datax.plugin.unstructuredstorage.reader.Key.NULL_FORMAT);
boolean isUtcTimestamp = readerSliceConfig.getBool(Key.PARQUET_UTC_TIMESTAMP, false);
boolean isReadAllColumns = (column == null || column.size() == 0) ? true : false;
LOG.info("ReadingAllColums: " + isReadAllColumns);
/**
* 支持 hive 表中间加列场景
*
* 开关默认 false，在 hive表存在中间加列的场景打开，需要根据 name排序
* 不默认打开的原因
* 1、存量hdfs任务，只根据 index获取字段，无name字段配置
* 2、中间加列场景比较少
* 3、存量任务可能存在列错位的问题，不能随意纠正
*/
boolean supportAddMiddleColumn = readerSliceConfig.getBool(Key.SUPPORT_ADD_MIDDLE_COLUMN, false);
boolean printNullValueException = readerSliceConfig.getBool("printNullValueException", false);
List<Integer> ignoreIndex = readerSliceConfig.getList("ignoreIndex", new ArrayList<Integer>(), Integer.class);
JobConf conf = new JobConf(hadoopConf);
ParquetReader<Group> reader = null;
try {
Path parquetFilePath = new Path(sourceParquetFilePath);
GroupReadSupport readSupport = new GroupReadSupport();
readSupport.init(conf, null, parquetSchema);
// 这里初始化parquetReader的时候，会getFileSystem，如果是HA集群，期间会根据hadoopConfig中区加载failover类，这里初始化builder带上conf
ParquetReader.Builder parquetReaderBuilder = ParquetReader.builder(readSupport, parquetFilePath);
parquetReaderBuilder.withConf(hadoopConf);
reader = parquetReaderBuilder.build();
Group g = null;
// 从文件名中解析分区信息
List<ColumnEntry> hivePartitionColumnEntrys = UnstructuredStorageReaderUtil.getListColumnEntry(readerSliceConfig, com.alibaba.datax.plugin.unstructuredstorage.reader.Key.HIVE_PARTION_COLUMN);
ArrayList<Column> hivePartitionColumns = new ArrayList<>();
hivePartitionColumns = UnstructuredStorageReaderUtil.getHivePartitionColumns(sourceParquetFilePath, hivePartitionColumnEntrys);
List<String> schemaFieldList = null;
Map<Integer, String> colNameIndexMap = null;
Map<Integer, Integer> indexMap = null;
if (supportAddMiddleColumn) {
boolean nonName = column.stream().anyMatch(columnEntry -> StringUtils.isEmpty(columnEntry.getName()));
if (nonName) {
throw new DataXException("You configured column item without name, please correct it");
}
List<org.apache.parquet.schema.Type> parquetFileFields = getParquetFileFields(parquetFilePath, hadoopConf);
schemaFieldList = parquetFileFields.stream().map(org.apache.parquet.schema.Type::getName).collect(Collectors.toList());
colNameIndexMap = new ConcurrentHashMap<>();
Map<Integer, String> finalColNameIndexMap = colNameIndexMap;
column.forEach(columnEntry -> finalColNameIndexMap.put(columnEntry.getIndex(), columnEntry.getName()));
Iterator<Map.Entry<Integer, String>> iterator = finalColNameIndexMap.entrySet().iterator();
while (iterator.hasNext()) {
Map.Entry<Integer, String> next = iterator.next();
if (!schemaFieldList.contains(next.getValue())) {
finalColNameIndexMap.remove((next.getKey()));
}
}
LOG.info("SupportAddMiddleColumn is true, fields from parquet file is {}, " +
"colNameIndexMap is {}", JSON.toJSONString(schemaFieldList), JSON.toJSONString(colNameIndexMap));
fieldCount = column.size();
indexMap = new HashMap<>();
for (int j = 0; j < fieldCount; j++) {
if (colNameIndexMap.containsKey(j)) {
int index = findIndex(schemaFieldList, findEleInMap(colNameIndexMap, j));
indexMap.put(j, index);
}
}
}
while ((g = reader.read()) != null) {
List<Object> formattedRecord = new ArrayList<Object>(fieldCount);
try {
for (int j = 0; j < fieldCount; j++) {
Object data = null;
try {
if (null != ignoreIndex && !ignoreIndex.isEmpty() && ignoreIndex.contains(j)) {
data = null;
} else {
if (supportAddMiddleColumn) {
if (!colNameIndexMap.containsKey(j)) {
formattedRecord.add(null);
continue;
} else {
data = DFSUtil.this.readFields(g, parquetTypes.get(indexMap.get(j)), indexMap.get(j), parquetMetaMap, isUtcTimestamp);
}
} else {
data = DFSUtil.this.readFields(g, parquetTypes.get(j), j, parquetMetaMap, isUtcTimestamp);
}
}
} catch (RuntimeException e) {
if (printNullValueException) {
LOG.warn(e.getMessage());
}
}
formattedRecord.add(data);
}
transportOneRecord(column, formattedRecord, recordSender, taskPluginCollector, isReadAllColumns, nullFormat, hivePartitionColumns);
} catch (Exception e) {
throw DataXException.asDataXException(HdfsReaderErrorCode.READ_PARQUET_ERROR, e);
}
}
} catch (Exception e) {
throw DataXException.asDataXException(HdfsReaderErrorCode.READ_PARQUET_ERROR, e);
} finally {
org.apache.commons.io.IOUtils.closeQuietly(reader);
}
}
private String findEleInMap(Map<Integer, String> map, Integer key) {
Iterator<Map.Entry<Integer, String>> iterator = map.entrySet().iterator();
while (iterator.hasNext()) {
Map.Entry<Integer, String> next = iterator.next();
if (key.equals(next.getKey())) {
return next.getValue();
}
}
return null;
}
private int findIndex(List<String> schemaFieldList, String colName) {
for (int i = 0; i < schemaFieldList.size(); i++) {
if (schemaFieldList.get(i).equals(colName)) {
return i;
}
}
return -1;
}
private List<org.apache.parquet.schema.Type> getParquetFileFields(Path filePath, org.apache.hadoop.conf.Configuration configuration) {
try (org.apache.parquet.hadoop.ParquetFileReader reader = org.apache.parquet.hadoop.ParquetFileReader.open(HadoopInputFile.fromPath(filePath, configuration))) {
org.apache.parquet.schema.MessageType schema = reader.getFooter().getFileMetaData().getSchema();
List<org.apache.parquet.schema.Type> fields = schema.getFields();
return fields;
} catch (IOException e) {
LOG.error("Fetch parquet field error", e);
throw new DataXException(String.format("Fetch parquet field error, msg is %s", e.getMessage()));
}
}
private String getParquetSchema(String sourceParquetFilePath, org.apache.hadoop.conf.Configuration hadoopConf) {
GroupReadSupport readSupport = new GroupReadSupport();
ParquetReader.Builder parquetReaderBuilder = ParquetReader.builder(readSupport, new Path(sourceParquetFilePath));
ParquetReader<Group> reader = null;
try {
parquetReaderBuilder.withConf(hadoopConf);
reader = parquetReaderBuilder.build();
Group g = null;
if ((g = reader.read()) != null) {
return g.getType().toString();
}
} catch (Throwable e) {
LOG.error("Inner error, getParquetSchema failed, message is {}", e.getMessage());
} finally {
org.apache.commons.io.IOUtils.closeQuietly(reader);
}
return null;
}
/**
* parquet 相关
*/
private static final int JULIAN_EPOCH_OFFSET_DAYS = 2440588;
private static final long MILLIS_IN_DAY = TimeUnit.DAYS.toMillis(1);
private static final long NANOS_PER_MILLISECOND = TimeUnit.MILLISECONDS.toNanos(1);
private long julianDayToMillis(int julianDay) {
return (julianDay - JULIAN_EPOCH_OFFSET_DAYS) * MILLIS_IN_DAY;
}
private org.apache.parquet.schema.OriginalType getOriginalType(org.apache.parquet.schema.Type type, Map<String, ParquetMeta> parquetMetaMap) {
ParquetMeta meta = parquetMetaMap.get(type.getName());
return meta.getOriginalType();
}
private org.apache.parquet.schema.PrimitiveType asPrimitiveType(org.apache.parquet.schema.Type type, Map<String, ParquetMeta> parquetMetaMap) {
ParquetMeta meta = parquetMetaMap.get(type.getName());
return meta.getPrimitiveType();
}
private Object readFields(Group g, org.apache.parquet.schema.Type type, int index, Map<String, ParquetMeta> parquetMetaMap, boolean isUtcTimestamp) {
if (this.getOriginalType(type, parquetMetaMap) == org.apache.parquet.schema.OriginalType.MAP) {
Group groupData = g.getGroup(index, 0);
List<org.apache.parquet.schema.Type> parquetTypes = groupData.getType().getFields();
JSONObject data = new JSONObject();
for (int i = 0; i < parquetTypes.size(); i++) {
int j = groupData.getFieldRepetitionCount(i);
// map key value 的对数
for (int k = 0; k < j; k++) {
Group groupDataK = groupData.getGroup(0, k);
List<org.apache.parquet.schema.Type> parquetTypesK = groupDataK.getType().getFields();
if (2 != parquetTypesK.size()) {
// warn: 不是key value成对出现
throw new RuntimeException(String.format("bad parquet map type: %s", groupData.getValueToString(index, 0)));
}
Object subDataKey = this.readFields(groupDataK, parquetTypesK.get(0), 0, parquetMetaMap, isUtcTimestamp);
Object subDataValue = this.readFields(groupDataK, parquetTypesK.get(1), 1, parquetMetaMap, isUtcTimestamp);
if (StringUtils.equalsIgnoreCase("key", parquetTypesK.get(0).getName())) {
((JSONObject) data).put(subDataKey.toString(), subDataValue);
} else {
((JSONObject) data).put(subDataValue.toString(), subDataKey);
}
}
}
return data;
} else if (this.getOriginalType(type, parquetMetaMap) == org.apache.parquet.schema.OriginalType.MAP_KEY_VALUE) {
Group groupData = g.getGroup(index, 0);
List<org.apache.parquet.schema.Type> parquetTypes = groupData.getType().getFields();
JSONObject data = new JSONObject();
for (int i = 0; i < parquetTypes.size(); i++) {
int j = groupData.getFieldRepetitionCount(i);
// map key value 的对数
for (int k = 0; k < j; k++) {
Group groupDataK = groupData.getGroup(0, k);
List<org.apache.parquet.schema.Type> parquetTypesK = groupDataK.getType().getFields();
if (2 != parquetTypesK.size()) {
// warn: 不是key value成对出现
throw new RuntimeException(String.format("bad parquet map type: %s", groupData.getValueToString(index, 0)));
}
Object subDataKey = this.readFields(groupDataK, parquetTypesK.get(0), 0, parquetMetaMap, isUtcTimestamp);
Object subDataValue = this.readFields(groupDataK, parquetTypesK.get(1), 1, parquetMetaMap, isUtcTimestamp);
if (StringUtils.equalsIgnoreCase("key", parquetTypesK.get(0).getName())) {
((JSONObject) data).put(subDataKey.toString(), subDataValue);
} else {
((JSONObject) data).put(subDataValue.toString(), subDataKey);
}
}
}
return data;
} else if (this.getOriginalType(type, parquetMetaMap) == org.apache.parquet.schema.OriginalType.LIST) {
Group groupData = g.getGroup(index, 0);
List<org.apache.parquet.schema.Type> parquetTypes = groupData.getType().getFields();
JSONArray data = new JSONArray();
for (int i = 0; i < parquetTypes.size(); i++) {
Object subData = this.readFields(groupData, parquetTypes.get(i), i, parquetMetaMap, isUtcTimestamp);
data.add(subData);
}
return data;
} else if (this.getOriginalType(type, parquetMetaMap) == org.apache.parquet.schema.OriginalType.DECIMAL) {
Binary binaryDate = g.getBinary(index, 0);
if (null == binaryDate) {
return null;
} else {
org.apache.hadoop.hive.serde2.io.HiveDecimalWritable decimalWritable = new org.apache.hadoop.hive.serde2.io.HiveDecimalWritable(binaryDate.getBytes(), this.asPrimitiveType(type, parquetMetaMap).getDecimalMetadata().getScale());
// g.getType().getFields().get(1).asPrimitiveType().getDecimalMetadata().getScale()
HiveDecimal hiveDecimal = decimalWritable.getHiveDecimal();
if (null == hiveDecimal) {
return null;
} else {
return hiveDecimal.bigDecimalValue();
}
// return decimalWritable.doubleValue();
}
} else if (this.getOriginalType(type, parquetMetaMap) == org.apache.parquet.schema.OriginalType.DATE) {
return java.sql.Date.valueOf(LocalDate.ofEpochDay(g.getInteger(index, 0)));
} else if (this.getOriginalType(type, parquetMetaMap) == org.apache.parquet.schema.OriginalType.UTF8) {
return g.getValueToString(index, 0);
} else {
if (type.isPrimitive()) {
PrimitiveType.PrimitiveTypeName primitiveTypeName = this.asPrimitiveType(type, parquetMetaMap).getPrimitiveTypeName();
if (PrimitiveType.PrimitiveTypeName.BINARY == primitiveTypeName) {
return g.getValueToString(index, 0);
} else if (PrimitiveType.PrimitiveTypeName.BOOLEAN == primitiveTypeName) {
return g.getValueToString(index, 0);
} else if (PrimitiveType.PrimitiveTypeName.DOUBLE == primitiveTypeName) {
return g.getValueToString(index, 0);
} else if (PrimitiveType.PrimitiveTypeName.FIXED_LEN_BYTE_ARRAY == primitiveTypeName) {
return g.getValueToString(index, 0);
} else if (PrimitiveType.PrimitiveTypeName.FLOAT == primitiveTypeName) {
return g.getValueToString(index, 0);
} else if (PrimitiveType.PrimitiveTypeName.INT32 == primitiveTypeName) {
return g.getValueToString(index, 0);
} else if (PrimitiveType.PrimitiveTypeName.INT64 == primitiveTypeName) {
return g.getValueToString(index, 0);
} else if (PrimitiveType.PrimitiveTypeName.INT96 == primitiveTypeName) {
Binary dataInt96 = g.getInt96(index, 0);
if (null == dataInt96) {
return null;
} else {
ByteBuffer buf = dataInt96.toByteBuffer();
buf.order(ByteOrder.LITTLE_ENDIAN);
long timeOfDayNanos = buf.getLong();
int julianDay = buf.getInt();
if (isUtcTimestamp) {
// UTC
LocalDate localDate = LocalDate.ofEpochDay(julianDay - JULIAN_EPOCH_OFFSET_DAYS);
LocalTime localTime = LocalTime.ofNanoOfDay(timeOfDayNanos);
return Timestamp.valueOf(LocalDateTime.of(localDate, localTime));
} else {
// local time
long mills = julianDayToMillis(julianDay) + (timeOfDayNanos / NANOS_PER_MILLISECOND);
Timestamp timestamp = new Timestamp(mills);
timestamp.setNanos((int) (timeOfDayNanos % TimeUnit.SECONDS.toNanos(1)));
return timestamp;
}
}
} else {
return g.getValueToString(index, 0);
}
} else {
return g.getValueToString(index, 0);
}
}
}
}

21
hdfsreader/src/main/java/com/alibaba/datax/plugin/reader/hdfsreader/HdfsPathFilter.java Normal file
View File

@ -0,0 +1,21 @@
package com.alibaba.datax.plugin.reader.hdfsreader;
import org.apache.hadoop.fs.Path;
import org.apache.hadoop.fs.PathFilter;
/**
* Created by wmy on 16/11/29.
*/
public class HdfsPathFilter implements PathFilter {
private String regex = null;
public HdfsPathFilter(String regex) {
this.regex = regex;
}
@Override
public boolean accept(Path path) {
return regex != null ? path.getName().matches(regex) : true;
}
}

18
hdfsreader/src/main/java/com/alibaba/datax/plugin/reader/hdfsreader/HdfsReader.java
View File

@ -41,6 +41,8 @@ public class HdfsReader extends Reader {
private String specifiedFileType = null;
private DFSUtil dfsUtil = null;
private List<String> path = null;
private boolean skipEmptyOrcFile = false;
private Integer orcFileEmptySize = null;
@Override
public void init() {
@ -115,6 +117,16 @@ public class HdfsReader extends Reader {
UnstructuredStorageReaderUtil.validateCompress(this.readerOriginConfig);
UnstructuredStorageReaderUtil.validateCsvReaderConfig(this.readerOriginConfig);
}
if (this.specifiedFileType.equalsIgnoreCase(Constant.ORC)) {
skipEmptyOrcFile = this.readerOriginConfig.getBool(Key.SKIP_EMPTY_ORCFILE, false);
orcFileEmptySize = this.readerOriginConfig.getInt(Key.ORCFILE_EMPTYSIZE);
//将orcFileEmptySize必填项检查去掉，仅需要配置skipEmptyOrcFile即可，考虑历史任务兼容性(For中华保险)，保留orcFileEmptySize参数配置
//if (skipEmptyOrcFile && orcFileEmptySize == null) {
// throw new IllegalArgumentException("When \"skipEmptyOrcFile\" is configured, "
// + "parameter \"orcFileEmptySize\" cannot be null.");
//}
}
LOG.info("skipEmptyOrcFile: {}, orcFileEmptySize: {}", skipEmptyOrcFile, orcFileEmptySize);
}
@ -166,7 +178,7 @@ public class HdfsReader extends Reader {
@Override
public void prepare() {
LOG.info("prepare(), start to getAllFiles...");
this.sourceFiles = dfsUtil.getAllFiles(path, specifiedFileType);
this.sourceFiles = dfsUtil.getAllFiles(path, specifiedFileType,skipEmptyOrcFile, orcFileEmptySize);
LOG.info(String.format("您即将读取的文件数为: [%s], 列表为: [%s]",
this.sourceFiles.size(),
StringUtils.join(this.sourceFiles, ",")));
@ -273,7 +285,9 @@ public class HdfsReader extends Reader {
}else if(specifiedFileType.equalsIgnoreCase(Constant.RC)){
dfsUtil.rcFileStartRead(sourceFile, this.taskConfig, recordSender, this.getTaskPluginCollector());
}else {
} else if (specifiedFileType.equalsIgnoreCase(Constant.PARQUET)) {
dfsUtil.parquetFileStartRead(sourceFile, this.taskConfig, recordSender, this.getTaskPluginCollector());
} else {
String message = "HdfsReader插件目前支持ORC, TEXT, CSV, SEQUENCE, RC五种格式的文件," +
"请将fileType选项的值配置为ORC, TEXT, CSV, SEQUENCE 或者 RC";

7
hdfsreader/src/main/java/com/alibaba/datax/plugin/reader/hdfsreader/HdfsReaderErrorCode.java
View File

@ -19,7 +19,12 @@ public enum HdfsReaderErrorCode implements ErrorCode {
FILE_TYPE_UNSUPPORT("HdfsReader-12", "文件类型目前不支持"),
KERBEROS_LOGIN_ERROR("HdfsReader-13", "KERBEROS认证失败"),
READ_SEQUENCEFILE_ERROR("HdfsReader-14", "读取SequenceFile文件出错"),
READ_RCFILE_ERROR("HdfsReader-15", "读取RCFile文件出错"),;
READ_RCFILE_ERROR("HdfsReader-15", "读取RCFile文件出错"),
INIT_RCFILE_SERDE_ERROR("HdfsReader-16", "Deserialize RCFile, initialization failed!"),
PARSE_MESSAGE_TYPE_FROM_SCHEMA_ERROR("HdfsReader-17", "Error parsing ParquetSchema"),
INVALID_PARQUET_SCHEMA("HdfsReader-18", "ParquetSchema is invalid"),
READ_PARQUET_ERROR("HdfsReader-19", "Error reading Parquet file"),
CONNECT_HDFS_IO_ERROR("HdfsReader-20", "I/O exception in establishing connection with HDFS");
private final String code;
private final String description;

51
hdfsreader/src/main/java/com/alibaba/datax/plugin/reader/hdfsreader/Key.java
View File

@ -7,9 +7,60 @@ public final class Key {
*/
public final static String PATH = "path";
public final static String DEFAULT_FS = "defaultFS";
public final static String HIVE_VERSION = "hiveVersion";
public static final String FILETYPE = "fileType";
public static final String HADOOP_CONFIG = "hadoopConfig";
public static final String HAVE_KERBEROS = "haveKerberos";
public static final String KERBEROS_KEYTAB_FILE_PATH = "kerberosKeytabFilePath";
public static final String KERBEROS_CONF_FILE_PATH = "kerberosConfFilePath";
public static final String KERBEROS_PRINCIPAL = "kerberosPrincipal";
public static final String PATH_FILTER = "pathFilter";
public static final String PARQUET_SCHEMA = "parquetSchema";
/**
* hive 3.x 或 cdh高版本，使用UTC时区存储时间戳，如果发现时区偏移，该配置项要配置成 true
*/
public static final String PARQUET_UTC_TIMESTAMP = "parquetUtcTimestamp";
public static final String SUCCESS_ON_NO_FILE = "successOnNoFile";
public static final String PROTECTION = "protection";
/**
* 用于显示地指定hdfs客户端的用户名
*/
public static final String HDFS_USERNAME = "hdfsUsername";
/**
* ORC FILE空文件大小
*/
public static final String ORCFILE_EMPTYSIZE = "orcFileEmptySize";
/**
* 是否跳过空的OrcFile
*/
public static final String SKIP_EMPTY_ORCFILE = "skipEmptyOrcFile";
/**
* 是否跳过 orc meta 信息
*/
public static final String SKIP_ORC_META = "skipOrcMetaInfo";
/**
* 过滤_或者.开头的文件
*/
public static final String REGEX_PATTERN = "^.*[/][^._].*";
public static final String FILTER_TAG_FILE = "filterTagFile";
// high level params refs https://github.com/aliyun/alibabacloud-jindodata/blob/master/docs/user/4.x/4.4.0/oss/configuration/jindosdk_configuration_list.md
// <!-- oss 并发下载任务队列大小 -->
public static final String FS_OSS_DOWNLOAD_QUEUE_SIZE = "ossDownloadQueueSize";
// <!-- 进程内 oss 最大并发下载任务数 -->
public static final String FS_OSS_DOWNLOAD_THREAD_CONCURRENCY = "ossDownloadThreadConcurrency";
public static final String FS_OSS_READ_READAHEAD_BUFFER_COUNT = "ossDownloadBufferCount";
public static final String FILE_SYSTEM_TYPE = "fileSystemType";
public static final String CDH_3_X_HIVE_VERSION = "3.1.3-cdh";
public static final String SUPPORT_ADD_MIDDLE_COLUMN = "supportAddMiddleColumn";
}

33
hdfsreader/src/main/java/com/alibaba/datax/plugin/reader/hdfsreader/ParquetMessageHelper.java Normal file
View File

@ -0,0 +1,33 @@
package com.alibaba.datax.plugin.reader.hdfsreader;
import org.apache.parquet.schema.OriginalType;
import org.apache.parquet.schema.PrimitiveType;
import java.util.HashMap;
import java.util.List;
import java.util.Map;
/**
* @author jitongchen
* @date 2023/9/7 10:20 AM
*/
public class ParquetMessageHelper {
public static Map<String, ParquetMeta> parseParquetTypes(List<org.apache.parquet.schema.Type> parquetTypes) {
int fieldCount = parquetTypes.size();
Map<String, ParquetMeta> parquetMetaMap = new HashMap<String, ParquetMeta>();
for (int i = 0; i < fieldCount; i++) {
org.apache.parquet.schema.Type type = parquetTypes.get(i);
String name = type.getName();
ParquetMeta parquetMeta = new ParquetMeta();
parquetMeta.setName(name);
OriginalType originalType = type.getOriginalType();
parquetMeta.setOriginalType(originalType);
if (type.isPrimitive()) {
PrimitiveType primitiveType = type.asPrimitiveType();
parquetMeta.setPrimitiveType(primitiveType);
}
parquetMetaMap.put(name, parquetMeta);
}
return parquetMetaMap;
}
}

38
hdfsreader/src/main/java/com/alibaba/datax/plugin/reader/hdfsreader/ParquetMeta.java Normal file
View File

@ -0,0 +1,38 @@
package com.alibaba.datax.plugin.reader.hdfsreader;
import org.apache.parquet.schema.OriginalType;
import org.apache.parquet.schema.PrimitiveType;
/**
* @author jitongchen
* @date 2023/9/7 10:20 AM
*/
public class ParquetMeta {
private String name;
private OriginalType originalType;
private PrimitiveType primitiveType;
public String getName() {
return name;
}
public void setName(String name) {
this.name = name;
}
public OriginalType getOriginalType() {
return originalType;
}
public void setOriginalType(OriginalType originalType) {
this.originalType = originalType;
}
public PrimitiveType getPrimitiveType() {
return primitiveType;
}
public void setPrimitiveType(PrimitiveType primitiveType) {
this.primitiveType = primitiveType;
}
}

62
hdfswriter/src/main/java/com/alibaba/datax/plugin/writer/hdfswriter/HdfsHelper.java
View File

@ -27,9 +27,8 @@ import org.apache.hadoop.mapred.*;
import org.apache.hadoop.security.UserGroupInformation;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import parquet.schema.OriginalType;
import parquet.schema.PrimitiveType;
import parquet.schema.Types;
import parquet.hadoop.metadata.CompressionCodecName;
import parquet.schema.*;
import java.io.IOException;
import java.text.SimpleDateFormat;
@ -626,4 +625,61 @@ public class HdfsHelper {
}
return typeBuilder.named("m").toString();
}
public void parquetFileStartWrite(RecordReceiver lineReceiver, Configuration config, String fileName, TaskPluginCollector taskPluginCollector, Configuration taskConfig) {
MessageType messageType = null;
ParquetFileProccessor proccessor = null;
Path outputPath = new Path(fileName);
String schema = config.getString(Key.PARQUET_SCHEMA);
try {
messageType = MessageTypeParser.parseMessageType(schema);
} catch (Exception e) {
String message = String.format("Error parsing the Schema string [%s] into MessageType", schema);
LOG.error(message);
throw DataXException.asDataXException(HdfsWriterErrorCode.PARSE_MESSAGE_TYPE_FROM_SCHEMA_ERROR, e);
}
// determine the compression codec
String compress = config.getString(Key.COMPRESS, null);
// be compatible with the old NONE
if ("NONE".equalsIgnoreCase(compress)) {
compress = "UNCOMPRESSED";
}
CompressionCodecName compressionCodecName = CompressionCodecName.fromConf(compress);
LOG.info("The compression codec used for parquet writing is: {}", compressionCodecName, compress);
try {
proccessor = new ParquetFileProccessor(outputPath, messageType, compressionCodecName, false, taskConfig, taskPluginCollector, hadoopConf);
} catch (Exception e) {
String message = String.format("Initializing ParquetFileProccessor based on Schema[%s] failed.", schema);
LOG.error(message);
throw DataXException.asDataXException(HdfsWriterErrorCode.INIT_PROCCESSOR_FAILURE, e);
}
SimpleDateFormat dateFormat = new SimpleDateFormat("yyyyMMddHHmm");
String attempt = "attempt_" + dateFormat.format(new Date()) + "_0001_m_000000_0";
conf.set(JobContext.TASK_ATTEMPT_ID, attempt);
FileOutputFormat outFormat = new TextOutputFormat();
outFormat.setOutputPath(conf, outputPath);
outFormat.setWorkOutputPath(conf, outputPath);
try {
Record record = null;
while ((record = lineReceiver.getFromReader()) != null) {
proccessor.write(record);
}
} catch (Exception e) {
String message = String.format("An exception occurred while writing the file file [%s]", fileName);
LOG.error(message);
Path path = new Path(fileName);
deleteDir(path.getParent());
throw DataXException.asDataXException(HdfsWriterErrorCode.Write_FILE_IO_ERROR, e);
} finally {
if (proccessor != null) {
try {
proccessor.close();
} catch (IOException e) {
LOG.error(e.getMessage(), e);
}
}
}
}
}

3
hdfswriter/src/main/java/com/alibaba/datax/plugin/writer/hdfswriter/HdfsWriter.java
View File

@ -415,6 +415,9 @@ public class HdfsWriter extends Writer {
//写ORC FILE
hdfsHelper.orcFileStartWrite(lineReceiver,this.writerSliceConfig, this.fileName,
this.getTaskPluginCollector());
} else if (fileType.equalsIgnoreCase("PARQUET")) {
//写PARQUET FILE
hdfsHelper.parquetFileStartWrite(lineReceiver, this.writerSliceConfig, this.fileName, this.getTaskPluginCollector(), this.writerSliceConfig);
}
LOG.info("end do write");

6
hdfswriter/src/main/java/com/alibaba/datax/plugin/writer/hdfswriter/HdfsWriterErrorCode.java
View File

@ -16,7 +16,11 @@ public enum HdfsWriterErrorCode implements ErrorCode {
CONNECT_HDFS_IO_ERROR("HdfsWriter-06", "与HDFS建立连接时出现IO异常."),
COLUMN_REQUIRED_VALUE("HdfsWriter-07", "您column配置中缺失了必须填写的参数值."),
HDFS_RENAME_FILE_ERROR("HdfsWriter-08", "将文件移动到配置路径失败."),
KERBEROS_LOGIN_ERROR("HdfsWriter-09", "KERBEROS认证失败");
KERBEROS_LOGIN_ERROR("HdfsWriter-09", "KERBEROS认证失败"),
PARSE_MESSAGE_TYPE_FROM_SCHEMA_ERROR("HdfsWriter-10", "Parse parquet schema error"),
INIT_PROCCESSOR_FAILURE("HdfsWriter-11", "Init processor failed");
private final String code;
private final String description;

28
hdfswriter/src/main/java/com/alibaba/datax/plugin/writer/hdfswriter/Key.java
View File

@ -46,4 +46,32 @@ public class Key {
public static final String PARQUET_SCHEMA = "parquetSchema";
public static final String PARQUET_MERGE_RESULT = "parquetMergeResult";
/**
* hive 3.x 或 cdh高版本，使用UTC时区存储时间戳，如果发现时区偏移，该配置项要配置成 true
*/
public static final String PARQUET_UTC_TIMESTAMP = "parquetUtcTimestamp";
// Kerberos
public static final String KERBEROS_CONF_FILE_PATH = "kerberosConfFilePath";
// PanguFS
public final static String PANGU_FS_CONFIG = "panguFSConfig";
public final static String PANGU_FS_CONFIG_NUWA_CLUSTER = "nuwaCluster";
public final static String PANGU_FS_CONFIG_NUWA_SERVERS = "nuwaServers";
public final static String PANGU_FS_CONFIG_NUWA_PROXIES = "nuwaProxies";
public final static String PANGU_FS_CONFIG_CAPABILITY = "capability";
public static final String FS_OSS_UPLOAD_THREAD_CONCURRENCY = "ossUploadConcurrency";
// <!-- oss 并发上传任务队列大小 -->
public static final String FS_OSS_UPLOAD_QUEUE_SIZE = "ossUploadQueueSize";
// <!-- 进程内 oss 最大并发上传任务数 -->
public static final String FS_OSS_UPLOAD_MAX_PENDING_TASKS_PER_STREAM = "ossUploadMaxPendingTasksPerStream";
public static final String FS_OSS_BLOCKLET_SIZE_MB = "ossBlockSize";
public static final String FILE_SYSTEM_TYPE = "fileSystemType";
public static final String ENABLE_COLUMN_EXCHANGE = "enableColumnExchange";
public static final String SUPPORT_HIVE_DATETIME = "supportHiveDateTime";
}

30
hdfswriter/src/main/java/com/alibaba/datax/plugin/writer/hdfswriter/ParquetFileProccessor.java Normal file
View File

@ -0,0 +1,30 @@
package com.alibaba.datax.plugin.writer.hdfswriter;
import com.alibaba.datax.common.element.Record;
import com.alibaba.datax.common.plugin.TaskPluginCollector;
import com.alibaba.datax.common.util.Configuration;
import org.apache.hadoop.fs.Path;
import parquet.hadoop.ParquetWriter;
import parquet.hadoop.metadata.CompressionCodecName;
import parquet.schema.MessageType;
import java.io.IOException;
/**
* @author jitongchen
* @date 2023/9/7 9:41 AM
*/
public class ParquetFileProccessor extends ParquetWriter<Record> {
public ParquetFileProccessor(Path file, MessageType schema, boolean enableDictionary, Configuration taskConfig, TaskPluginCollector taskPluginCollector, org.apache.hadoop.conf.Configuration configuration) throws IOException {
this(file, schema, CompressionCodecName.UNCOMPRESSED, enableDictionary, taskConfig, taskPluginCollector, configuration);
}
public ParquetFileProccessor(Path file, MessageType schema, CompressionCodecName codecName, boolean enableDictionary, Configuration taskConfig, TaskPluginCollector taskPluginCollector) throws IOException {
super(file, new ParquetFileSupport(schema, taskConfig, taskPluginCollector), codecName, DEFAULT_BLOCK_SIZE, DEFAULT_PAGE_SIZE, DEFAULT_PAGE_SIZE, enableDictionary, false, DEFAULT_WRITER_VERSION);
}
public ParquetFileProccessor(Path file, MessageType schema, CompressionCodecName codecName, boolean enableDictionary, Configuration taskConfig, TaskPluginCollector taskPluginCollector, org.apache.hadoop.conf.Configuration configuration) throws IOException {
super(file, new ParquetFileSupport(schema, taskConfig, taskPluginCollector), codecName, DEFAULT_BLOCK_SIZE, DEFAULT_PAGE_SIZE, DEFAULT_PAGE_SIZE, enableDictionary, false, DEFAULT_WRITER_VERSION, configuration);
}
}

642
hdfswriter/src/main/java/com/alibaba/datax/plugin/writer/hdfswriter/ParquetFileSupport.java Normal file
View File

@ -0,0 +1,642 @@
package com.alibaba.datax.plugin.writer.hdfswriter;
import com.alibaba.datax.common.element.*;
import com.alibaba.datax.common.plugin.TaskPluginCollector;
import com.alibaba.datax.common.util.LimitLogger;
import com.alibaba.fastjson2.JSON;
import com.alibaba.fastjson2.JSONArray;
import com.alibaba.fastjson2.JSONObject;
import org.apache.commons.lang3.StringUtils;
import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.hive.ql.io.parquet.serde.ParquetHiveSerDe;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import parquet.column.ColumnDescriptor;
import parquet.hadoop.api.WriteSupport;
import parquet.io.api.Binary;
import parquet.io.api.RecordConsumer;
import parquet.schema.*;
import java.math.BigDecimal;
import java.math.RoundingMode;
import java.nio.ByteBuffer;
import java.nio.ByteOrder;
import java.sql.Timestamp;
import java.text.SimpleDateFormat;
import java.time.LocalDateTime;
import java.time.OffsetDateTime;
import java.time.ZoneOffset;
import java.time.temporal.ChronoField;
import java.util.Arrays;
import java.util.Date;
import java.util.HashMap;
import java.util.List;
import java.util.concurrent.TimeUnit;
/**
* @author jitongchen
* @date 2023/9/7 9:41 AM
*/
public class ParquetFileSupport extends WriteSupport<Record> {
public static final Logger LOGGER = LoggerFactory.getLogger(ParquetFileSupport.class);
private MessageType schema;
private List<ColumnDescriptor> columns;
private RecordConsumer recordConsumer;
private boolean useRawDataTransf = true;
private boolean printStackTrace = true;
// 不通类型的nullFormat
private String nullFormat;
private String dateFormat;
private boolean isUtcTimestamp;
private SimpleDateFormat dateParse;
private Binary binaryForNull;
private TaskPluginCollector taskPluginCollector;
private String dataxParquetMode;
public ParquetFileSupport(MessageType schema, com.alibaba.datax.common.util.Configuration taskConfig, TaskPluginCollector taskPluginCollector) {
this.schema = schema;
this.columns = schema.getColumns();
this.useRawDataTransf = taskConfig.getBool(Key.PARQUET_FILE_USE_RAW_DATA_TRANSF, true);
// 不通类型的nullFormat
this.nullFormat = taskConfig.getString(Key.NULL_FORMAT, Constant.DEFAULT_NULL_FORMAT);
this.binaryForNull = Binary.fromString(this.nullFormat);
this.dateFormat = taskConfig.getString(Key.DATE_FORMAT, null);
if (StringUtils.isNotBlank(this.dateFormat)) {
this.dateParse = new SimpleDateFormat(dateFormat);
}
this.isUtcTimestamp = taskConfig.getBool(Key.PARQUET_UTC_TIMESTAMP, false);
this.taskPluginCollector = taskPluginCollector;
if (taskConfig.getKeys().contains("dataxParquetMode")) {
this.dataxParquetMode = taskConfig.getString("dataxParquetMode");
} else {
// 默认值是columns
this.dataxParquetMode = "columns";
}
}
@Override
public WriteContext init(Configuration configuration) {
return new WriteContext(schema, new HashMap<String, String>());
}
@Override
public void prepareForWrite(RecordConsumer recordConsumer) {
this.recordConsumer = recordConsumer;
}
@Override
public void write(Record values) {
if (dataxParquetMode.equalsIgnoreCase("fields")) {
writeBaseOnFields(values);
return;
}
// NOTE: 下面的实现其实是不对的，只是看代码注释貌似有用户已经在用
// 所以暂时不动下面的逻辑。
// 默认走的就是下面的这条代码路径
if (values != null && columns != null && values.getColumnNumber() == columns.size()) {
recordConsumer.startMessage();
for (int i = 0; i < columns.size(); i++) {
Column value = values.getColumn(i);
ColumnDescriptor columnDescriptor = columns.get(i);
Type type = this.schema.getFields().get(i);
if (value != null) {
try {
if (this.useRawDataTransf) {
if (value.getRawData() == null) {
continue;
}
recordConsumer.startField(columnDescriptor.getPath()[0], i);
// 原来使用Column->RawData的方法其实是错误的类型转换策略，会将DataX的数据内部表示形象序列化出去
// 但是 Parquet 已经有用户使用了，故暂时只是配置项切换
String rawData = value.getRawData().toString();
switch (columnDescriptor.getType()) {
case BOOLEAN:
recordConsumer.addBoolean(Boolean.parseBoolean(rawData));
break;
case FLOAT:
recordConsumer.addFloat(Float.parseFloat(rawData));
break;
case DOUBLE:
recordConsumer.addDouble(Double.parseDouble(rawData));
break;
case INT32:
OriginalType originalType = type.getOriginalType();
if (originalType != null && StringUtils.equalsIgnoreCase("DATE", originalType.name())) {
int realVal = (int) (new java.sql.Date(Long.parseLong(rawData)).toLocalDate().toEpochDay());
recordConsumer.addInteger(realVal);
} else {
recordConsumer.addInteger(Integer.parseInt(rawData));
}
break;
case INT64:
recordConsumer.addLong(Long.valueOf(rawData));
break;
case INT96:
recordConsumer.addBinary(timestampColToBinary(value));
break;
case BINARY:
recordConsumer.addBinary(Binary.fromString(rawData));
break;
case FIXED_LEN_BYTE_ARRAY:
PrimitiveType primitiveType = type.asPrimitiveType();
if (primitiveType.getDecimalMetadata() != null) {
// decimal
recordConsumer.addBinary(decimalToBinary(value, primitiveType.getDecimalMetadata().getPrecision(), primitiveType.getDecimalMetadata().getScale()));
break;
}
/* fall through */
default:
recordConsumer.addBinary(Binary.fromString(rawData));
break;
}
recordConsumer.endField(columnDescriptor.getPath()[0], i);
} else {
boolean isNull = null == value.getRawData();
if (!isNull) {
recordConsumer.startField(columnDescriptor.getPath()[0], i);
// no skip: empty fields are illegal, the field should be ommited completely instead
switch (columnDescriptor.getType()) {
case BOOLEAN:
recordConsumer.addBoolean(value.asBoolean());
break;
case FLOAT:
recordConsumer.addFloat(value.asDouble().floatValue());
break;
case DOUBLE:
recordConsumer.addDouble(value.asDouble());
break;
case INT32:
OriginalType originalType = type.getOriginalType();
if (originalType != null && StringUtils.equalsIgnoreCase("DATE", originalType.name())) {
int realVal = (int) (new java.sql.Date(value.asLong()).toLocalDate().toEpochDay());
recordConsumer.addInteger(realVal);
} else {
recordConsumer.addInteger(value.asLong().intValue());
}
break;
case INT64:
recordConsumer.addLong(value.asLong());
break;
case INT96:
recordConsumer.addBinary(timestampColToBinary(value));
break;
case BINARY:
String valueAsString2Write = null;
if (Column.Type.DATE == value.getType() && null != this.dateParse) {
valueAsString2Write = dateParse.format(value.asDate());
} else {
valueAsString2Write = value.asString();
}
recordConsumer.addBinary(Binary.fromString(valueAsString2Write));
break;
case FIXED_LEN_BYTE_ARRAY:
PrimitiveType primitiveType = type.asPrimitiveType();
if (primitiveType.getDecimalMetadata() != null) {
// decimal
recordConsumer.addBinary(decimalToBinary(value, primitiveType.getDecimalMetadata().getPrecision(), primitiveType.getDecimalMetadata().getScale()));
break;
}
/* fall through */
default:
recordConsumer.addBinary(Binary.fromString(value.asString()));
break;
}
recordConsumer.endField(columnDescriptor.getPath()[0], i);
}
}
} catch (Exception e) {
if (printStackTrace) {
printStackTrace = false;
LOGGER.warn("write to parquet error: {}", e.getMessage(), e);
}
// dirty data
if (null != this.taskPluginCollector) {
// job post 里面的merge taskPluginCollector 为null
this.taskPluginCollector.collectDirtyRecord(values, e, e.getMessage());
}
}
} else {
recordConsumer.addBinary(this.binaryForNull);
}
}
recordConsumer.endMessage();
}
}
private Binary decimalToBinary(Column value, int precision, int scale) {
BigDecimal bigDecimal = value.asBigDecimal();
bigDecimal = bigDecimal.setScale(scale, RoundingMode.HALF_UP);
byte[] decimalBytes = bigDecimal.unscaledValue().toByteArray();
int precToBytes = ParquetHiveSerDe.PRECISION_TO_BYTE_COUNT[precision - 1];
if (precToBytes == decimalBytes.length) {
// No padding needed.
return Binary.fromByteArray(decimalBytes);
}
byte[] tgt = new byte[precToBytes];
// padding -1 for negative number
if (bigDecimal.compareTo(new BigDecimal("0")) < 0) {
Arrays.fill(tgt, 0, precToBytes - decimalBytes.length, (byte) -1);
}
System.arraycopy(decimalBytes, 0, tgt, precToBytes - decimalBytes.length, decimalBytes.length);
return Binary.fromByteArray(tgt);
}
private static final int JULIAN_EPOCH_OFFSET_DAYS = 2_440_588;
private static final long MILLIS_IN_DAY = TimeUnit.DAYS.toMillis(1);
private static final long MILLS_PER_SECOND = TimeUnit.SECONDS.toMillis(1);
private static final long NANOS_PER_DAY = TimeUnit.DAYS.toNanos(1);
private static final long NANOS_PER_SECOND = TimeUnit.SECONDS.toNanos(1);
private static final ZoneOffset defaultOffset = OffsetDateTime.now().getOffset();
/**
* int 96 is timestamp in parquet
*
* @param valueColumn
* @return
*/
private Binary timestampColToBinary(Column valueColumn) {
if (valueColumn.getRawData() == null) {
return Binary.EMPTY;
}
long mills;
long nanos = 0;
if (valueColumn instanceof DateColumn) {
DateColumn dateColumn = (DateColumn) valueColumn;
mills = dateColumn.asLong();
nanos = dateColumn.getNanos();
} else {
mills = valueColumn.asLong();
}
int julianDay;
long nanosOfDay;
if (isUtcTimestamp) {
// utc ignore current timezone (task should set timezone same as hive/hdfs)
long seconds = mills >= 0 ? mills / MILLS_PER_SECOND : (mills / MILLS_PER_SECOND - 1);
LocalDateTime localDateTime = LocalDateTime.ofEpochSecond(seconds, (int) nanos, defaultOffset);
julianDay = (int) (localDateTime.getLong(ChronoField.EPOCH_DAY) + JULIAN_EPOCH_OFFSET_DAYS);
nanosOfDay = localDateTime.getLong(ChronoField.NANO_OF_DAY);
} else {
// local date
julianDay = (int) ((mills / MILLIS_IN_DAY) + JULIAN_EPOCH_OFFSET_DAYS);
if (mills >= 0) {
nanosOfDay = ((mills % MILLIS_IN_DAY) / MILLS_PER_SECOND) * NANOS_PER_SECOND + nanos;
} else {
julianDay--;
nanosOfDay = (((mills % MILLIS_IN_DAY) / MILLS_PER_SECOND) - 1) * NANOS_PER_SECOND + nanos;
nanosOfDay += NANOS_PER_DAY;
}
}
ByteBuffer buf = ByteBuffer.allocate(12);
buf.order(ByteOrder.LITTLE_ENDIAN);
buf.putLong(nanosOfDay);
buf.putInt(julianDay);
buf.flip();
return Binary.fromByteBuffer(buf);
}
private void writeBaseOnFields(Record values) {
//LOGGER.info("Writing parquet data using fields mode(The correct mode.)");
List<Type> types = this.schema.getFields();
if (values != null && types != null && values.getColumnNumber() == types.size()) {
recordConsumer.startMessage();
writeFields(types, values);
recordConsumer.endMessage();
}
}
private void writeFields(List<Type> types, Record values) {
for (int i = 0; i < types.size(); i++) {
Type type = types.get(i);
Column value = values.getColumn(i);
if (value != null) {
try {
if (type.isPrimitive()) {
writePrimitiveType(type, value, i);
} else {
writeGroupType(type, (JSON) JSON.parse(value.asString()), i);
}
} catch (Exception e) {
if (printStackTrace) {
printStackTrace = false;
LOGGER.warn("write to parquet error: {}", e.getMessage(), e);
}
// dirty data
if (null != this.taskPluginCollector) {
// job post 里面的merge taskPluginCollector 为null
this.taskPluginCollector.collectDirtyRecord(values, e, e.getMessage());
}
}
}
}
}
private void writeFields(List<Type> types, JSONObject values) {
for (int i = 0; i < types.size(); i++) {
Type type = types.get(i);
Object value = values.get(type.getName());
if (value != null) {
try {
if (type.isPrimitive()) {
writePrimitiveType(type, value, i);
} else {
writeGroupType(type, (JSON) value, i);
}
} catch (Exception e) {
if (printStackTrace) {
printStackTrace = false;
LOGGER.warn("write to parquet error: {}", e.getMessage(), e);
}
}
} else {
recordConsumer.addBinary(this.binaryForNull);
}
}
}
private void writeGroupType(Type type, JSON value, int index) {
GroupType groupType = type.asGroupType();
OriginalType originalType = groupType.getOriginalType();
if (originalType != null) {
switch (originalType) {
case MAP:
writeMap(groupType, value, index);
break;
case LIST:
writeList(groupType, value, index);
break;
default:
break;
}
} else {
// struct
writeStruct(groupType, value, index);
}
}
private void writeMap(GroupType groupType, JSON value, int index) {
if (value == null) {
return;
}
JSONObject json = (JSONObject) value;
if (json.isEmpty()) {
return;
}
recordConsumer.startField(groupType.getName(), index);
recordConsumer.startGroup();
// map
// key_value start
recordConsumer.startField("key_value", 0);
recordConsumer.startGroup();
List<Type> keyValueFields = groupType.getFields().get(0).asGroupType().getFields();
Type keyType = keyValueFields.get(0);
Type valueType = keyValueFields.get(1);
for (String key : json.keySet()) {
// key
writePrimitiveType(keyType, key, 0);
// value
if (valueType.isPrimitive()) {
writePrimitiveType(valueType, json.get(key), 1);
} else {
writeGroupType(valueType, (JSON) json.get(key), 1);
}
}
recordConsumer.endGroup();
recordConsumer.endField("key_value", 0);
// key_value end
recordConsumer.endGroup();
recordConsumer.endField(groupType.getName(), index);
}
private void writeList(GroupType groupType, JSON value, int index) {
if (value == null) {
return;
}
JSONArray json = (JSONArray) value;
if (json.isEmpty()) {
return;
}
recordConsumer.startField(groupType.getName(), index);
// list
recordConsumer.startGroup();
// list start
recordConsumer.startField("list", 0);
recordConsumer.startGroup();
Type elementType = groupType.getFields().get(0).asGroupType().getFields().get(0);
if (elementType.isPrimitive()) {
for (Object elementValue : json) {
writePrimitiveType(elementType, elementValue, 0);
}
} else {
for (Object elementValue : json) {
writeGroupType(elementType, (JSON) elementValue, 0);
}
}
recordConsumer.endGroup();
recordConsumer.endField("list", 0);
// list end
recordConsumer.endGroup();
recordConsumer.endField(groupType.getName(), index);
}
private void writeStruct(GroupType groupType, JSON value, int index) {
if (value == null) {
return;
}
JSONObject json = (JSONObject) value;
if (json.isEmpty()) {
return;
}
recordConsumer.startField(groupType.getName(), index);
// struct start
recordConsumer.startGroup();
writeFields(groupType.getFields(), json);
recordConsumer.endGroup();
// struct end
recordConsumer.endField(groupType.getName(), index);
}
private void writePrimitiveType(Type type, Object value, int index) {
if (value == null) {
return;
}
recordConsumer.startField(type.getName(), index);
PrimitiveType primitiveType = type.asPrimitiveType();
switch (primitiveType.getPrimitiveTypeName()) {
case BOOLEAN:
recordConsumer.addBoolean((Boolean) value);
break;
case FLOAT:
if (value instanceof Float) {
recordConsumer.addFloat(((Float) value).floatValue());
} else if (value instanceof Double) {
recordConsumer.addFloat(((Double) value).floatValue());
} else if (value instanceof Long) {
recordConsumer.addFloat(((Long) value).floatValue());
} else if (value instanceof Integer) {
recordConsumer.addFloat(((Integer) value).floatValue());
}
break;
case DOUBLE:
if (value instanceof Float) {
recordConsumer.addDouble(((Float) value).doubleValue());
} else if (value instanceof Double) {
recordConsumer.addDouble(((Double) value).doubleValue());
} else if (value instanceof Long) {
recordConsumer.addDouble(((Long) value).doubleValue());
} else if (value instanceof Integer) {
recordConsumer.addDouble(((Integer) value).doubleValue());
}
break;
case INT32:
if (value instanceof Integer) {
recordConsumer.addInteger((Integer) value);
} else if (value instanceof Long) {
recordConsumer.addInteger(((Long) value).intValue());
} else {
// 之前代码写的有问题，导致这里丢列了没抛异常，先收集，后续看看有没有任务命中在决定怎么改
LimitLogger.limit("dirtyDataHiveWriterParquet", TimeUnit.MINUTES.toMillis(1), () -> LOGGER.warn("dirtyDataHiveWriterParquet {}", String.format("Invalid value: %s(clazz: %s) for field: %s", value, value.getClass(), type.getName())));
}
break;
case INT64:
if (value instanceof Integer) {
recordConsumer.addLong(((Integer) value).longValue());
} else if (value instanceof Long) {
recordConsumer.addInteger(((Long) value).intValue());
} else {
// 之前代码写的有问题，导致这里丢列了没抛异常，先收集，后续看看有没有任务命中在决定怎么改
LimitLogger.limit("dirtyDataHiveWriterParquet", TimeUnit.MINUTES.toMillis(1), () -> LOGGER.warn("dirtyDataHiveWriterParquet {}", String.format("Invalid value: %s(clazz: %s) for field: %s", value, value.getClass(), type.getName())));
}
break;
case INT96:
if (value instanceof Integer) {
recordConsumer.addBinary(timestampColToBinary(new LongColumn((Integer) value)));
} else if (value instanceof Long) {
recordConsumer.addBinary(timestampColToBinary(new LongColumn((Long) value)));
} else if (value instanceof Timestamp) {
recordConsumer.addBinary(timestampColToBinary(new DateColumn((Timestamp) value)));
} else if (value instanceof Date) {
recordConsumer.addBinary(timestampColToBinary(new DateColumn((Date) value)));
} else {
recordConsumer.addBinary(timestampColToBinary(new StringColumn(value.toString())));
}
break;
case FIXED_LEN_BYTE_ARRAY:
if (primitiveType.getDecimalMetadata() != null) {
// decimal
Column column;
if (value instanceof Integer) {
column = new LongColumn((Integer) value);
} else if (value instanceof Long) {
column = new LongColumn((Long) value);
} else if (value instanceof Double) {
column = new DoubleColumn((Double) value);
} else if (value instanceof BigDecimal) {
column = new DoubleColumn((BigDecimal) value);
} else {
column = new StringColumn(value.toString());
}
recordConsumer.addBinary(decimalToBinary(column, primitiveType.getDecimalMetadata().getPrecision(), primitiveType.getDecimalMetadata().getScale()));
break;
}
/* fall through */
case BINARY:
default:
recordConsumer.addBinary(Binary.fromString((String) value));
break;
}
recordConsumer.endField(type.getName(), index);
}
private void writePrimitiveType(Type type, Column value, int index) {
if (value == null || value.getRawData() == null) {
return;
}
recordConsumer.startField(type.getName(), index);
PrimitiveType primitiveType = type.asPrimitiveType();
switch (primitiveType.getPrimitiveTypeName()) {
case BOOLEAN:
recordConsumer.addBoolean(value.asBoolean());
break;
case FLOAT:
recordConsumer.addFloat(value.asDouble().floatValue());
break;
case DOUBLE:
recordConsumer.addDouble(value.asDouble());
break;
case INT32:
OriginalType originalType = type.getOriginalType();
if (OriginalType.DATE.equals(originalType)) {
int realVal = (int) (new java.sql.Date(value.asLong()).toLocalDate().toEpochDay());
recordConsumer.addInteger(realVal);
} else {
recordConsumer.addInteger(value.asLong().intValue());
}
break;
case INT64:
recordConsumer.addLong(value.asLong());
break;
case INT96:
recordConsumer.addBinary(timestampColToBinary(value));
break;
case BINARY:
String valueAsString2Write = null;
if (Column.Type.DATE == value.getType() && null != this.dateParse) {
valueAsString2Write = dateParse.format(value.asDate());
} else {
valueAsString2Write = value.asString();
}
recordConsumer.addBinary(Binary.fromString(valueAsString2Write));
break;
case FIXED_LEN_BYTE_ARRAY:
if (primitiveType.getDecimalMetadata() != null) {
// decimal
recordConsumer.addBinary(decimalToBinary(value, primitiveType.getDecimalMetadata().getPrecision(), primitiveType.getDecimalMetadata().getScale()));
break;
}
/* fall through */
default:
recordConsumer.addBinary(Binary.fromString(value.asString()));
break;
}
recordConsumer.endField(type.getName(), index);
}
}

5
neo4jwriter/pom.xml
View File

@ -53,11 +53,6 @@
<version>${junit4.version}</version>
<scope>test</scope>
</dependency>
<dependency>
<groupId>com.alibaba.datax</groupId>
<artifactId>datax-example</artifactId>
<version>0.0.1-SNAPSHOT</version>
</dependency>
</dependencies>
<build>

4
neo4jwriter/src/test/java/com/alibaba/datax/plugin/writer/Neo4jWriterTest.java
View File

@ -52,8 +52,8 @@ public class Neo4jWriterTest {
protected static final Network NETWORK = Network.newNetwork();
private GenericContainer<?> container;
protected Driver neo4jDriver;
protected Session neo4jSession;
private Driver neo4jDriver;
private Session neo4jSession;
@Before
public void init() {

10
oceanbasev10writer/pom.xml
View File

@ -64,8 +64,16 @@
</exclusion>
</exclusions>
</dependency>
<dependency>
<groupId>com.oceanbase</groupId>
<artifactId>shade-ob-partition-calculator</artifactId>
<version>1.0-SNAPSHOT</version>
<scope>system</scope>
<systemPath>${pom.basedir}/src/main/libs/shade-ob-partition-calculator-1.0-SNAPSHOT.jar</systemPath>
</dependency>
<dependency>
<dependency>
<groupId>log4j</groupId>
<artifactId>log4j</artifactId>
<version>1.2.16</version>

1
oceanbasev10writer/src/main/java/com/alibaba/datax/plugin/writer/oceanbasev10writer/Config.java
View File

@ -6,6 +6,7 @@ public interface Config {
double DEFAULT_MEMSTORE_THRESHOLD = 0.9d;
double DEFAULT_SLOW_MEMSTORE_THRESHOLD = 0.75d;
String MEMSTORE_CHECK_INTERVAL_SECOND = "memstoreCheckIntervalSecond";
long DEFAULT_MEMSTORE_CHECK_INTERVAL_SECOND = 30;

48
oceanbasev10writer/src/main/java/com/alibaba/datax/plugin/writer/oceanbasev10writer/ext/AbstractConnHolder.java Normal file
View File

@ -0,0 +1,48 @@
package com.alibaba.datax.plugin.writer.oceanbasev10writer.ext;
import com.alibaba.datax.common.util.Configuration;
import com.alibaba.datax.plugin.rdbms.util.DBUtil;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import java.sql.Connection;
public abstract class AbstractConnHolder {
private static final Logger LOG = LoggerFactory.getLogger(AbstractConnHolder.class);
protected final Configuration config;
protected Connection conn;
public AbstractConnHolder(Configuration config) {
this.config = config;
}
public abstract Connection initConnection();
public Configuration getConfig() {
return config;
}
public Connection getConn() {
try {
if (conn != null && !conn.isClosed()) {
return conn;
}
} catch (Exception e) {
LOG.warn("judge connection is closed or not failed. try to reconnect.", e);
}
return reconnect();
}
public Connection reconnect() {
DBUtil.closeDBResources(null, conn);
return initConnection();
}
public abstract String getJdbcUrl();
public abstract String getUserName();
public abstract void destroy();
}

4
oceanbasev10writer/src/main/java/com/alibaba/datax/plugin/writer/oceanbasev10writer/ext/DataBaseWriterBuffer.java
View File

@ -23,7 +23,7 @@ import org.slf4j.LoggerFactory;
public class DataBaseWriterBuffer {
private static final Logger LOG = LoggerFactory.getLogger(DataBaseWriterBuffer.class);
private final ConnHolder connHolder;
private final AbstractConnHolder connHolder;
private final String dbName;
private Map<String, LinkedList<Record>> tableBuffer = new HashMap<String, LinkedList<Record>>();
private long lastCheckMemstoreTime;
@ -33,7 +33,7 @@ public class DataBaseWriterBuffer {
this.dbName=dbName;
}
public ConnHolder getConnHolder(){
public AbstractConnHolder getConnHolder(){
return connHolder;
}

15
oceanbasev10writer/src/main/java/com/alibaba/datax/plugin/writer/oceanbasev10writer/ext/OCJConnHolder.java
View File

@ -3,15 +3,13 @@ package com.alibaba.datax.plugin.writer.oceanbasev10writer.ext;
import java.sql.Connection;
import com.alibaba.datax.common.util.Configuration;
import com.alibaba.datax.plugin.rdbms.util.DBUtil;
import com.alibaba.datax.plugin.rdbms.util.DataBaseType;
/**
* wrap oceanbase java client
* @author oceanbase
*/
public class OCJConnHolder extends ConnHolder {
public class OCJConnHolder extends AbstractConnHolder {
private ServerConnectInfo connectInfo;
private String dataSourceKey;
@ -28,17 +26,6 @@ public class OCJConnHolder extends ConnHolder {
return conn;
}
@Override
public Connection reconnect() {
DBUtil.closeDBResources(null, conn);
return initConnection();
}
@Override
public Connection getConn() {
return conn;
}
@Override
public String getJdbcUrl() {
return connectInfo.jdbcUrl;

2
oceanbasev10writer/src/main/java/com/alibaba/datax/plugin/writer/oceanbasev10writer/ext/ObClientConnHolder.java
View File

@ -16,7 +16,7 @@ import com.alibaba.datax.plugin.writer.oceanbasev10writer.util.ObWriterUtils;
* @author oceanbase
*
*/
public class ObClientConnHolder extends ConnHolder {
public class ObClientConnHolder extends AbstractConnHolder {
private final String jdbcUrl;
private final String userName;
private final String password;

85
oceanbasev10writer/src/main/java/com/alibaba/datax/plugin/writer/oceanbasev10writer/ext/ServerConnectInfo.java
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@ -1,5 +1,7 @@
package com.alibaba.datax.plugin.writer.oceanbasev10writer.ext;
import static org.apache.commons.lang3.StringUtils.EMPTY;
import java.util.regex.Matcher;
import java.util.regex.Pattern;
@ -12,40 +14,19 @@ public class ServerConnectInfo {
public String databaseName;
public String ipPort;
public String jdbcUrl;
public boolean publicCloud;
/**
*
* @param jdbcUrl format is jdbc:oceanbase//ip:port
* @param username format is cluster:tenant:username or username@tenant#cluster or user@tenant or user
* @param password
*/
public ServerConnectInfo(final String jdbcUrl, final String username, final String password) {
if (jdbcUrl.startsWith(com.alibaba.datax.plugin.rdbms.writer.Constant.OB10_SPLIT_STRING)) {
String[] ss = jdbcUrl.split(com.alibaba.datax.plugin.rdbms.writer.Constant.OB10_SPLIT_STRING_PATTERN);
if (ss.length != 3) {
throw new RuntimeException("jdbc url format is not correct: " + jdbcUrl);
}
this.userName = username;
this.clusterName = ss[1].trim().split(":")[0];
this.tenantName = ss[1].trim().split(":")[1];
this.jdbcUrl = ss[2].replace("jdbc:mysql:", "jdbc:oceanbase:");
} else {
this.jdbcUrl = jdbcUrl.replace("jdbc:mysql:", "jdbc:oceanbase:");
if (username.contains("@") && username.contains("#")) {
this.userName = username.substring(0, username.indexOf("@"));
this.tenantName = username.substring(username.indexOf("@") + 1, username.indexOf("#"));
this.clusterName = username.substring(username.indexOf("#") + 1);
} else if (username.contains(":")) {
String[] config = username.split(":");
if (config.length != 3) {
throw new RuntimeException ("username format is not correct: " + username);
}
this.clusterName = config[0];
this.tenantName = config[1];
this.userName = config[2];
} else {
this.clusterName = null;
this.tenantName = null;
this.userName = username;
}
}
this.jdbcUrl = jdbcUrl;
this.password = password;
parseJdbcUrl(jdbcUrl);
parseFullUserName(username);
}
private void parseJdbcUrl(final String jdbcUrl) {
@ -56,11 +37,42 @@ public class ServerConnectInfo {
String dbName = matcher.group(2);
this.ipPort = ipPort;
this.databaseName = dbName;
this.publicCloud = ipPort.split(":")[0].endsWith("aliyuncs.com");
} else {
throw new RuntimeException("Invalid argument:" + jdbcUrl);
}
}
private void parseFullUserName(final String fullUserName) {
int tenantIndex = fullUserName.indexOf("@");
int clusterIndex = fullUserName.indexOf("#");
if (fullUserName.contains(":") && tenantIndex < 0) {
String[] names = fullUserName.split(":");
if (names.length != 3) {
throw new RuntimeException("invalid argument: " + fullUserName);
} else {
this.clusterName = names[0];
this.tenantName = names[1];
this.userName = names[2];
}
} else if (!publicCloud || tenantIndex < 0) {
this.userName = tenantIndex < 0 ? fullUserName : fullUserName.substring(0, tenantIndex);
this.clusterName = clusterIndex < 0 ? EMPTY : fullUserName.substring(clusterIndex + 1);
this.tenantName = tenantIndex < 0 ? EMPTY : fullUserName.substring(tenantIndex + 1, clusterIndex);
} else {
// If in public cloud, the username with format user@tenant#cluster should be parsed, otherwise, connection can't be created.
this.userName = fullUserName.substring(0, tenantIndex);
if (clusterIndex > tenantIndex) {
this.tenantName = fullUserName.substring(tenantIndex + 1, clusterIndex);
this.clusterName = fullUserName.substring(clusterIndex + 1);
} else {
this.tenantName = fullUserName.substring(tenantIndex + 1);
this.clusterName = EMPTY;
}
}
}
@Override
public String toString() {
StringBuffer strBuffer = new StringBuffer();
return strBuffer.append("clusterName:").append(clusterName).append(", tenantName:").append(tenantName)
@ -69,11 +81,18 @@ public class ServerConnectInfo {
}
public String getFullUserName() {
StringBuilder builder = new StringBuilder(userName);
if (tenantName != null && clusterName != null) {
builder.append("@").append(tenantName).append("#").append(clusterName);
StringBuilder builder = new StringBuilder();
builder.append(userName);
if (!EMPTY.equals(tenantName)) {
builder.append("@").append(tenantName);
}
if (!EMPTY.equals(clusterName)) {
builder.append("#").append(clusterName);
}
if (EMPTY.equals(this.clusterName) && EMPTY.equals(this.tenantName)) {
return this.userName;
}
return builder.toString();
}
}

19
oceanbasev10writer/src/main/java/com/alibaba/datax/plugin/writer/oceanbasev10writer/part/IObPartCalculator.java Normal file
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@ -0,0 +1,19 @@
package com.alibaba.datax.plugin.writer.oceanbasev10writer.part;
import com.alibaba.datax.common.element.Record;
/**
* @author cjyyz
* @date 2023/02/07
* @since
*/
public interface IObPartCalculator {
/**
* 计算 Partition Id
*
* @param record
* @return Long
*/
Long calculate(Record record);
}

109
oceanbasev10writer/src/main/java/com/alibaba/datax/plugin/writer/oceanbasev10writer/part/ObPartitionCalculatorV1.java Normal file
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@ -0,0 +1,109 @@
package com.alibaba.datax.plugin.writer.oceanbasev10writer.part;
import com.alibaba.datax.common.element.Record;
import com.alibaba.datax.plugin.writer.oceanbasev10writer.ext.ServerConnectInfo;
import com.alipay.oceanbase.obproxy.data.TableEntryKey;
import com.alipay.oceanbase.obproxy.util.ObPartitionIdCalculator;
import java.util.ArrayList;
import java.util.List;
import java.util.Objects;
import java.util.concurrent.TimeUnit;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
/**
* OceanBase 1.x和2.x的分区计算
*
* @author cjyyz
* @date 2023/02/07
* @since
*/
public class ObPartitionCalculatorV1 implements IObPartCalculator {
private static final Logger LOG = LoggerFactory.getLogger(ObPartitionCalculatorV1.class);
/**
* 分区键的位置
*/
private List<Integer> partIndexes;
/**
* 表的全部字段名
*/
private List<String> columnNames;
/**
* ocj partition calculator
*/
private ObPartitionIdCalculator calculator;
/**
* @param connectInfo
* @param table
* @param columns
*/
public ObPartitionCalculatorV1(ServerConnectInfo connectInfo, String table, List<String> columns) {
initCalculator(connectInfo, table);
if (Objects.isNull(calculator)) {
LOG.warn("partCalculator is null");
return;
}
this.partIndexes = new ArrayList<>(columns.size());
this.columnNames = new ArrayList<>(columns);
for (int i = 0; i < columns.size(); ++i) {
String columnName = columns.get(i);
if (calculator.isPartitionKeyColumn(columnName)) {
LOG.info(columnName + " is partition key.");
partIndexes.add(i);
}
}
}
/**
* @param record
* @return Long
*/
@Override
public Long calculate(Record record) {
if (Objects.isNull(calculator)) {
return null;
}
for (Integer i : partIndexes) {
calculator.addColumn(columnNames.get(i), record.getColumn(i).asString());
}
return calculator.calculate();
}
/**
* @param connectInfo
* @param table
*/
private void initCalculator(ServerConnectInfo connectInfo, String table) {
LOG.info(String.format("create tableEntryKey with clusterName %s, tenantName %s, databaseName %s, tableName %s",
connectInfo.clusterName, connectInfo.tenantName, connectInfo.databaseName, table));
TableEntryKey tableEntryKey = new TableEntryKey(connectInfo.clusterName, connectInfo.tenantName,
connectInfo.databaseName, table);
int retry = 0;
do {
try {
if (retry > 0) {
TimeUnit.SECONDS.sleep(1);
LOG.info("retry create new part calculator {} times", retry);
}
LOG.info("create partCalculator with address: " + connectInfo.ipPort);
calculator = new ObPartitionIdCalculator(connectInfo.ipPort, tableEntryKey);
} catch (Exception ex) {
++retry;
LOG.warn("create new part calculator failed, retry: {}", ex.getMessage());
}
} while (calculator == null && retry < 3);
}
}

169
oceanbasev10writer/src/main/java/com/alibaba/datax/plugin/writer/oceanbasev10writer/part/ObPartitionCalculatorV2.java Normal file
View File

@ -0,0 +1,169 @@
package com.alibaba.datax.plugin.writer.oceanbasev10writer.part;
import com.alibaba.datax.common.element.Record;
import com.alibaba.datax.plugin.rdbms.util.DBUtil;
import com.alibaba.datax.plugin.rdbms.util.DataBaseType;
import com.alibaba.datax.plugin.writer.oceanbasev10writer.ext.ServerConnectInfo;
import com.alibaba.datax.plugin.writer.oceanbasev10writer.util.DbUtils;
import com.oceanbase.partition.calculator.ObPartIdCalculator;
import com.oceanbase.partition.calculator.enums.ObPartLevel;
import com.oceanbase.partition.calculator.enums.ObServerMode;
import com.oceanbase.partition.calculator.helper.TableEntryExtractor;
import com.oceanbase.partition.calculator.model.TableEntry;
import com.oceanbase.partition.calculator.model.TableEntryKey;
import com.oceanbase.partition.calculator.model.Version;
import com.oceanbase.partition.metadata.desc.ObPartColumn;
import com.oceanbase.partition.metadata.desc.ObTablePart;
import java.sql.Connection;
import java.util.HashMap;
import java.util.List;
import java.util.Map;
import java.util.Objects;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
/**
* OceanBase 3.x和4.x的分区计算
*
* @author cjyyz
* @date 2023/02/07
* @since
*/
public class ObPartitionCalculatorV2 implements IObPartCalculator {
private static final Logger LOG = LoggerFactory.getLogger(ObPartitionCalculatorV2.class);
/**
* OB的模式以及版本信息
*/
private ObServerMode mode;
/**
* ob-partition-calculator 分区计算组件
*/
private ObPartIdCalculator calculator;
/**
* 记录columns的字段名和在record中的位置。
* 当目标表结构的分区键是生成列时，calculator 需要从改结构中获取到生成列所依赖的字段的值
* e.g.
* create table t1 (
* c1 varchar(20),
* c2 varchar(20) generated always as (substr(`c1`,1,8))
* )partition by key(c2) partitions 5
*
* 此时，columnNameIndexMap包含的元素是 c1:0
* 需要将c1字段的值从columnNameIndexMap中添加到{@link com.oceanbase.partition.calculator.ObPartIdCalculator#getRefColumnValues()}
*/
private Map<String, Integer> columnNameIndexMap;
/**
* @param connectInfo
* @param table
* @param mode
*/
public ObPartitionCalculatorV2(ServerConnectInfo connectInfo, String table, ObServerMode mode, List<String> columns) {
this.mode = mode;
this.columnNameIndexMap = new HashMap<>();
for (int i = 0; i < columns.size(); i++) {
columnNameIndexMap.put(columns.get(i).toLowerCase(), i);
}
initCalculator(connectInfo, table);
}
/**
* @param record
* @return Long
*/
@Override
public Long calculate(Record record) {
if (Objects.isNull(calculator)) {
return null;
}
if (!calculator.getTableEntry().isPartitionTable()) {
return 0L;
}
return calculator.calculatePartId(filterNullableColumns(record));
}
/**
* 初始化分区计算组件
*
* @param connectInfo
* @param table
*/
private void initCalculator(ServerConnectInfo connectInfo, String table) {
TableEntryKey tableEntryKey = new TableEntryKey(connectInfo.clusterName, connectInfo.tenantName, connectInfo.databaseName, table, mode);
boolean subsequentFromV4 = !mode.getVersion().isOlderThan(new Version("4.0.0.0"));
try {
TableEntry tableEntry;
try (Connection conn = getConnection(connectInfo, subsequentFromV4)){
TableEntryExtractor extractor = new TableEntryExtractor();
tableEntry = extractor.queryTableEntry(conn, tableEntryKey,subsequentFromV4);
}
this.calculator = new ObPartIdCalculator(false, tableEntry, subsequentFromV4);
} catch (Exception e) {
LOG.warn("create new part calculator failed. reason: {}", e.getMessage());
}
}
private Connection getConnection(ServerConnectInfo connectInfo, boolean subsequentFromV4) throws Exception {
// OceanBase 4.0.0.0及之后版本均使用业务租户连接计算分区
if (subsequentFromV4) {
return DBUtil.getConnection(DataBaseType.OceanBase, connectInfo.jdbcUrl, connectInfo.getFullUserName(), connectInfo.password);
}
// OceanBase 4.0.0.0之前版本使用sys租户连接计算分区
return DbUtils.buildSysConn(connectInfo.jdbcUrl, connectInfo.clusterName);
}
/**
* 只选择分区字段值传入分区计算组件
*
* @param record
* @return Object[]
*/
private Object[] filterNullableColumns(Record record) {
final ObTablePart tablePart = calculator.getTableEntry().getTablePart();
final Object[] filteredRecords = new Object[record.getColumnNumber()];
if (tablePart.getLevel().getIndex() > ObPartLevel.LEVEL_ZERO.getIndex()) {
// 从record中添加非生成列的一级分区值到filteredRecords数组中
for (ObPartColumn partColumn : tablePart.getPartColumns()) {
if (partColumn.getColumnExpr() == null) {
int metaIndex = partColumn.getColumnIndex();
String columnName = partColumn.getColumnName().toLowerCase();
int idxInRecord = columnNameIndexMap.get(columnName);
filteredRecords[metaIndex] = record.getColumn(idxInRecord).asString();
}
}
// 从record中添加生成列的一级分区值到calculator的redColumnMap中,ObTablePart.getRefPartColumns中的字段名均为小写
for (ObPartColumn partColumn : tablePart.getRefPartColumns()) {
String columnName = partColumn.getColumnName();
int index = columnNameIndexMap.get(columnName);
calculator.addRefColumn(columnName, record.getColumn(index).asString());
}
}
if (tablePart.getLevel().getIndex() >= ObPartLevel.LEVEL_TWO.getIndex()) {
// 从record中添加非生成列的二级分区值到filteredRecords数组中
for (ObPartColumn partColumn : tablePart.getSubPartColumns()) {
if (partColumn.getColumnExpr() == null) {
int metaIndex = partColumn.getColumnIndex();
String columnName = partColumn.getColumnName().toLowerCase();
int idxInRecord = columnNameIndexMap.get(columnName);
filteredRecords[metaIndex] = record.getColumn(idxInRecord).asString();
}
}
// 从record中添加生成列的二级分区值到calculator的redColumnMap中,ObTablePart.getRefSubPartColumns中的字段名均为小写
for (ObPartColumn partColumn : tablePart.getRefSubPartColumns()) {
String columnName = partColumn.getColumnName();
int index = columnNameIndexMap.get(columnName);
calculator.addRefColumn(columnName, record.getColumn(index).asString());
}
}
return filteredRecords;
}
}

258
oceanbasev10writer/src/main/java/com/alibaba/datax/plugin/writer/oceanbasev10writer/task/ConcurrentTableWriterTask.java
View File

@ -1,6 +1,5 @@
package com.alibaba.datax.plugin.writer.oceanbasev10writer.task;
import com.alibaba.datax.common.element.Column;
import com.alibaba.datax.common.element.Record;
import com.alibaba.datax.common.exception.DataXException;
import com.alibaba.datax.common.plugin.RecordReceiver;
@ -11,16 +10,14 @@ import com.alibaba.datax.plugin.rdbms.util.DBUtilErrorCode;
import com.alibaba.datax.plugin.rdbms.util.DataBaseType;
import com.alibaba.datax.plugin.rdbms.writer.CommonRdbmsWriter;
import com.alibaba.datax.plugin.writer.oceanbasev10writer.Config;
import com.alibaba.datax.plugin.writer.oceanbasev10writer.ext.ConnHolder;
import com.alibaba.datax.plugin.writer.oceanbasev10writer.ext.AbstractConnHolder;
import com.alibaba.datax.plugin.writer.oceanbasev10writer.ext.ObClientConnHolder;
import com.alibaba.datax.plugin.writer.oceanbasev10writer.ext.ServerConnectInfo;
import com.alibaba.datax.plugin.writer.oceanbasev10writer.part.IObPartCalculator;
import com.alibaba.datax.plugin.writer.oceanbasev10writer.part.ObPartitionCalculatorV1;
import com.alibaba.datax.plugin.writer.oceanbasev10writer.part.ObPartitionCalculatorV2;
import com.alibaba.datax.plugin.writer.oceanbasev10writer.util.ObWriterUtils;
import com.alipay.oceanbase.obproxy.data.TableEntryKey;
import com.alipay.oceanbase.obproxy.util.ObPartitionIdCalculator;
import org.apache.commons.lang3.tuple.Pair;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import com.oceanbase.partition.calculator.enums.ObServerMode;
import java.sql.Connection;
import java.sql.PreparedStatement;
import java.sql.SQLException;
@ -35,8 +32,12 @@ import java.util.concurrent.atomic.AtomicLong;
import java.util.concurrent.locks.Condition;
import java.util.concurrent.locks.Lock;
import java.util.concurrent.locks.ReentrantLock;
//import java.sql.PreparedStatement;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import static com.alibaba.datax.plugin.writer.oceanbasev10writer.Config.DEFAULT_SLOW_MEMSTORE_THRESHOLD;
import static com.alibaba.datax.plugin.writer.oceanbasev10writer.util.ObWriterUtils.LoadMode.FAST;
import static com.alibaba.datax.plugin.writer.oceanbasev10writer.util.ObWriterUtils.LoadMode.PAUSE;
import static com.alibaba.datax.plugin.writer.oceanbasev10writer.util.ObWriterUtils.LoadMode.SLOW;
public class ConcurrentTableWriterTask extends CommonRdbmsWriter.Task {
private static final Logger LOG = LoggerFactory.getLogger(ConcurrentTableWriterTask.class);
@ -47,41 +48,31 @@ public class ConcurrentTableWriterTask extends CommonRdbmsWriter.Task {
private long memstoreCheckIntervalSecond = Config.DEFAULT_MEMSTORE_CHECK_INTERVAL_SECOND;
// 最后一次检查
private long lastCheckMemstoreTime;
private volatile ObWriterUtils.LoadMode loadMode = FAST;
private static AtomicLong totalTask = new AtomicLong(0);
private long taskId = -1;
private AtomicBoolean isMemStoreFull = new AtomicBoolean(false);
private ConnHolder checkConnHolder;
private HashMap<Long, List<Record>> groupInsertValues;
private IObPartCalculator obPartCalculator;
private ConcurrentTableWriter concurrentWriter = null;
private AbstractConnHolder connHolder;
private boolean allTaskInQueue = false;
private Lock lock = new ReentrantLock();
private Condition condition = lock.newCondition();
private long startTime;
private String obWriteMode = "update";
private boolean isOracleCompatibleMode = false;
private String obUpdateColumns = null;
private String dbName;
private int calPartFailedCount = 0;
public ConcurrentTableWriterTask(DataBaseType dataBaseType) {
public ConcurrentTableWriterTask(DataBaseType dataBaseType) {
super(dataBaseType);
taskId = totalTask.getAndIncrement();
}
private ObPartitionIdCalculator partCalculator = null;
private HashMap<Long, List<Record>> groupInsertValues;
List<Record> unknownPartRecords = new ArrayList<Record>();
// private List<Record> unknownPartRecords;
private List<Integer> partitionKeyIndexes;
private ConcurrentTableWriter concurrentWriter = null;
private ConnHolder connHolder;
private boolean allTaskInQueue = false;
private Lock lock = new ReentrantLock();
private Condition condition = lock.newCondition();
private long startTime;
private String obWriteMode = "update";
private boolean isOracleCompatibleMode = false;
private String obUpdateColumns = null;
private List<Pair<String, int[]>> deleteColPos;
private String dbName;
@Override
public void init(Configuration config) {
super.init(config);
@ -95,15 +86,11 @@ public class ConcurrentTableWriterTask extends CommonRdbmsWriter.Task {
this.memstoreThreshold = config.getDouble(Config.MEMSTORE_THRESHOLD, Config.DEFAULT_MEMSTORE_THRESHOLD);
this.memstoreCheckIntervalSecond = config.getLong(Config.MEMSTORE_CHECK_INTERVAL_SECOND,
Config.DEFAULT_MEMSTORE_CHECK_INTERVAL_SECOND);
this.isOracleCompatibleMode = ObWriterUtils.isOracleMode();
LOG.info("configure url is unavailable, use obclient for connections.");
this.checkConnHolder = new ObClientConnHolder(config, connectInfo.jdbcUrl,
this.connHolder = new ObClientConnHolder(config, connectInfo.jdbcUrl,
connectInfo.getFullUserName(), connectInfo.password);
this.connHolder = new ObClientConnHolder(config, connectInfo.jdbcUrl,
connectInfo.getFullUserName(), connectInfo.password);
checkConnHolder.initConnection();
if (isOracleCompatibleMode) {
this.isOracleCompatibleMode = ObWriterUtils.isOracleMode();
if (isOracleCompatibleMode) {
connectInfo.databaseName = connectInfo.databaseName.toUpperCase();
//在转义的情况下不翻译
if (!(table.startsWith("\"") && table.endsWith("\""))) {
@ -115,43 +102,36 @@ public class ConcurrentTableWriterTask extends CommonRdbmsWriter.Task {
}
if (config.getBool(Config.USE_PART_CALCULATOR, Config.DEFAULT_USE_PART_CALCULATOR)) {
initPartCalculator(connectInfo);
this.obPartCalculator = createPartitionCalculator(connectInfo, ObServerMode.from(config.getString(Config.OB_COMPATIBLE_MODE), config.getString(Config.OB_VERSION)));
} else {
LOG.info("Disable partition calculation feature.");
}
obUpdateColumns = config.getString(Config.OB_UPDATE_COLUMNS, null);
groupInsertValues = new HashMap<Long, List<Record>>();
partitionKeyIndexes = new ArrayList<Integer>();
rewriteSql();
obUpdateColumns = config.getString(Config.OB_UPDATE_COLUMNS, null);
groupInsertValues = new HashMap<Long, List<Record>>();
rewriteSql();
if (null == concurrentWriter) {
concurrentWriter = new ConcurrentTableWriter(config, connectInfo, writeRecordSql);
allTaskInQueue = false;
}
}
if (null == concurrentWriter) {
concurrentWriter = new ConcurrentTableWriter(config, connectInfo, writeRecordSql);
allTaskInQueue = false;
}
}
private void initPartCalculator(ServerConnectInfo connectInfo) {
int retry = 0;
LOG.info(String.format("create tableEntryKey with clusterName %s, tenantName %s, databaseName %s, tableName %s",
connectInfo.clusterName, connectInfo.tenantName, connectInfo.databaseName, table));
TableEntryKey tableEntryKey = new TableEntryKey(connectInfo.clusterName, connectInfo.tenantName,
connectInfo.databaseName, table);
do {
try {
if (retry > 0) {
int sleep = retry > 8 ? 500 : (1 << retry);
TimeUnit.SECONDS.sleep(sleep);
LOG.info("retry create new part calculator, the {} times", retry);
}
LOG.info("create partCalculator with address: " + connectInfo.ipPort);
partCalculator = new ObPartitionIdCalculator(connectInfo.ipPort, tableEntryKey);
} catch (Exception ex) {
++retry;
LOG.warn("create new part calculator failed, retry {}: {}", retry, ex.getMessage());
}
} while (partCalculator == null && retry < 3); // try 3 times
}
/**
* 创建需要的分区计算组件
*
* @param connectInfo
* @return
*/
private IObPartCalculator createPartitionCalculator(ServerConnectInfo connectInfo, ObServerMode obServerMode) {
if (obServerMode.isSubsequentFrom("3.0.0.0")) {
LOG.info("oceanbase version is {}, use ob-partition-calculator to calculate partition Id.", obServerMode.getVersion());
return new ObPartitionCalculatorV2(connectInfo, table, obServerMode, columns);
}
LOG.info("oceanbase version is {}, use ocj to calculate partition Id.", obServerMode.getVersion());
return new ObPartitionCalculatorV1(connectInfo, table, columns);
}
public boolean isFinished() {
return allTaskInQueue && concurrentWriter.checkFinish();
@ -174,43 +154,18 @@ public class ConcurrentTableWriterTask extends CommonRdbmsWriter.Task {
if (isOracleCompatibleMode && obWriteMode.equalsIgnoreCase("update")) {
// change obWriteMode to insert so the insert statement will be generated.
obWriteMode = "insert";
deleteColPos = ObWriterUtils.buildDeleteSql(conn, dbName, table, columns);
}
this.writeRecordSql = ObWriterUtils.buildWriteSql(table, columns, conn, obWriteMode, obUpdateColumns);
LOG.info("writeRecordSql :{}", this.writeRecordSql);
}
@Override
public void prepare(Configuration writerSliceConfig) {
super.prepare(writerSliceConfig);
calPartitionKeyIndex(partitionKeyIndexes);
concurrentWriter.start();
}
private void calPartitionKeyIndex(List<Integer> partKeyIndexes) {
partKeyIndexes.clear();
if (null == partCalculator) {
LOG.error("partCalculator is null");
return;
}
for (int i = 0; i < columns.size(); ++i) {
if (partCalculator.isPartitionKeyColumn(columns.get(i))) {
LOG.info(columns.get(i) + " is partition key.");
partKeyIndexes.add(i);
}
}
}
private Long calPartitionId(List<Integer> partKeyIndexes, Record record) {
if (partCalculator == null) {
return null;
}
for (Integer i : partKeyIndexes) {
partCalculator.addColumn(columns.get(i), record.getColumn(i).asString());
}
return partCalculator.calculate();
}
@Override
@Override
public void startWriteWithConnection(RecordReceiver recordReceiver, TaskPluginCollector taskPluginCollector, Connection connection) {
this.taskPluginCollector = taskPluginCollector;
@ -271,21 +226,6 @@ public class ConcurrentTableWriterTask extends CommonRdbmsWriter.Task {
return fillPreparedStatement(preparedStatement, record);
}
public PreparedStatement fillStatementIndex(PreparedStatement preparedStatement,
int prepIdx, int columnIndex, Column column) throws SQLException {
int columnSqltype = this.resultSetMetaData.getMiddle().get(columnIndex);
String typeName = this.resultSetMetaData.getRight().get(columnIndex);
return fillPreparedStatementColumnType(preparedStatement, prepIdx, columnSqltype, typeName, column);
}
public void collectDirtyRecord(Record record, SQLException e) {
taskPluginCollector.collectDirtyRecord(record, e);
}
public void insertOneRecord(Connection connection, List<Record> buffer) {
doOneInsert(connection, buffer);
}
private void addLeftRecords() {
//不需要刷新Cache，已经是最后一批数据了
for (List<Record> groupValues : groupInsertValues.values()) {
@ -293,17 +233,16 @@ public class ConcurrentTableWriterTask extends CommonRdbmsWriter.Task {
addRecordsToWriteQueue(groupValues);
}
}
if (unknownPartRecords.size() > 0) {
addRecordsToWriteQueue(unknownPartRecords);
}
}
private void addRecordToCache(final Record record) {
Long partId =null;
try {
partId = calPartitionId(partitionKeyIndexes, record);
partId = obPartCalculator == null ? Long.MAX_VALUE : obPartCalculator.calculate(record);
} catch (Exception e1) {
LOG.warn("fail to get partition id: " + e1.getMessage() + ", record: " + record);
if (calPartFailedCount++ < 10) {
LOG.warn("fail to get partition id: " + e1.getMessage() + ", record: " + record);
}
}
if (partId == null) {
@ -311,24 +250,11 @@ public class ConcurrentTableWriterTask extends CommonRdbmsWriter.Task {
partId = Long.MAX_VALUE;
}
if (partId != null) {
List<Record> groupValues = groupInsertValues.get(partId);
if (groupValues == null) {
groupValues = new ArrayList<Record>(batchSize);
groupInsertValues.put(partId, groupValues);
}
groupValues.add(record);
if (groupValues.size() >= batchSize) {
groupValues = addRecordsToWriteQueue(groupValues);
groupInsertValues.put(partId, groupValues);
}
} else {
LOG.debug("add unknown part record {}", record);
unknownPartRecords.add(record);
if (unknownPartRecords.size() >= batchSize) {
unknownPartRecords = addRecordsToWriteQueue(unknownPartRecords);
}
List<Record> groupValues = groupInsertValues.computeIfAbsent(partId, k -> new ArrayList<Record>(batchSize));
groupValues.add(record);
if (groupValues.size() >= batchSize) {
groupValues = addRecordsToWriteQueue(groupValues);
groupInsertValues.put(partId, groupValues);
}
}
@ -354,15 +280,25 @@ public class ConcurrentTableWriterTask extends CommonRdbmsWriter.Task {
return new ArrayList<Record>(batchSize);
}
private void checkMemStore() {
Connection checkConn = checkConnHolder.reconnect();
Connection checkConn = connHolder.getConn();
try {
if (checkConn == null || checkConn.isClosed()) {
checkConn = connHolder.reconnect();
}
}catch (Exception e) {
LOG.warn("Check connection is unusable");
}
long now = System.currentTimeMillis();
if (now - lastCheckMemstoreTime < 1000 * memstoreCheckIntervalSecond) {
return;
}
boolean isFull = ObWriterUtils.isMemstoreFull(checkConn, memstoreThreshold);
this.isMemStoreFull.set(isFull);
if (isFull) {
LOG.warn("OB memstore is full,sleep 30 seconds, threshold=" + memstoreThreshold);
double memUsedRatio = ObWriterUtils.queryMemUsedRatio(checkConn);
if (memUsedRatio >= DEFAULT_SLOW_MEMSTORE_THRESHOLD) {
this.loadMode = memUsedRatio >= memstoreThreshold ? PAUSE : SLOW;
LOG.info("Memstore used ration is {}. Load data {}", memUsedRatio, loadMode.name());
}else {
this.loadMode = FAST;
}
lastCheckMemstoreTime = now;
}
@ -370,21 +306,23 @@ public class ConcurrentTableWriterTask extends CommonRdbmsWriter.Task {
public boolean isMemStoreFull() {
return isMemStoreFull.get();
}
public void printEveryTime() {
long cost = System.currentTimeMillis() - startTime;
if (cost > 10000) { //10s
print();
startTime = System.currentTimeMillis();
}
public boolean isShouldPause() {
return this.loadMode.equals(PAUSE);
}
public boolean isShouldSlow() {
return this.loadMode.equals(SLOW);
}
public void print() {
LOG.debug("Statistic total task {}, finished {}, queue Size {}",
concurrentWriter.getTotalTaskCount(),
concurrentWriter.getFinishTaskCount(),
concurrentWriter.getTaskQueueSize());
concurrentWriter.printStatistics();
if (LOG.isDebugEnabled()) {
LOG.debug("Statistic total task {}, finished {}, queue Size {}",
concurrentWriter.getTotalTaskCount(),
concurrentWriter.getFinishTaskCount(),
concurrentWriter.getTaskQueueSize());
concurrentWriter.printStatistics();
}
}
public void waitTaskFinish() {
@ -417,8 +355,6 @@ public class ConcurrentTableWriterTask extends CommonRdbmsWriter.Task {
}
// 把本级持有的conn关闭掉
DBUtil.closeDBResources(null, connHolder.getConn());
DBUtil.closeDBResources(null, checkConnHolder.getConn());
checkConnHolder.destroy();
super.destroy(writerSliceConfig);
}
@ -469,7 +405,7 @@ public class ConcurrentTableWriterTask extends CommonRdbmsWriter.Task {
public synchronized void start() {
for (int i = 0; i < threadCount; ++i) {
LOG.info("start {} insert task.", (i+1));
InsertTask insertTask = new InsertTask(taskId, queue, config, connectInfo, rewriteRecordSql, deleteColPos);
InsertTask insertTask = new InsertTask(taskId, queue, config, connectInfo, rewriteRecordSql);
insertTask.setWriterTask(ConcurrentTableWriterTask.this);
insertTask.setWriter(this);
insertTasks.add(insertTask);
@ -495,7 +431,7 @@ public class ConcurrentTableWriterTask extends CommonRdbmsWriter.Task {
public void addBatchRecords(final List<Record> records) throws InterruptedException {
boolean isSucc = false;
while (!isSucc) {
isSucc = queue.offer(records, 5, TimeUnit.SECONDS);
isSucc = queue.offer(records, 5, TimeUnit.MILLISECONDS);
checkMemStore();
}
totalTaskCount.incrementAndGet();

432
oceanbasev10writer/src/main/java/com/alibaba/datax/plugin/writer/oceanbasev10writer/task/InsertTask.java
View File

@ -1,286 +1,204 @@
package com.alibaba.datax.plugin.writer.oceanbasev10writer.task;
import java.sql.Connection;
import java.sql.PreparedStatement;
import java.sql.SQLException;
import java.util.ArrayList;
import java.util.List;
import java.util.Queue;
import java.util.concurrent.TimeUnit;
import com.alibaba.datax.common.exception.DataXException;
import com.alibaba.datax.plugin.rdbms.util.DBUtil;
import com.alibaba.datax.plugin.rdbms.util.DBUtilErrorCode;
import com.alibaba.datax.plugin.writer.oceanbasev10writer.ext.ObClientConnHolder;
import org.apache.commons.lang3.tuple.Pair;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import com.alibaba.datax.common.element.Record;
import com.alibaba.datax.common.util.Configuration;
import com.alibaba.datax.plugin.rdbms.util.DBUtil;
import com.alibaba.datax.plugin.writer.oceanbasev10writer.Config;
import com.alibaba.datax.plugin.writer.oceanbasev10writer.ext.ConnHolder;
import com.alibaba.datax.plugin.writer.oceanbasev10writer.ext.AbstractConnHolder;
import com.alibaba.datax.plugin.writer.oceanbasev10writer.ext.ObClientConnHolder;
import com.alibaba.datax.plugin.writer.oceanbasev10writer.ext.ServerConnectInfo;
import com.alibaba.datax.plugin.writer.oceanbasev10writer.task.ConcurrentTableWriterTask.ConcurrentTableWriter;
import com.alibaba.datax.plugin.writer.oceanbasev10writer.util.ObWriterUtils;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import java.sql.Connection;
import java.sql.PreparedStatement;
import java.sql.SQLException;
import java.util.List;
import java.util.concurrent.BlockingQueue;
import java.util.concurrent.TimeUnit;
public class InsertTask implements Runnable {
private static final Logger LOG = LoggerFactory.getLogger(InsertTask.class);
private ConcurrentTableWriterTask writerTask;
private ConcurrentTableWriter writer;
private ConcurrentTableWriterTask writerTask;
private ConcurrentTableWriter writer;
private String writeRecordSql;
private long totalCost = 0;
private long insertCount = 0;
private String writeRecordSql;
private long totalCost = 0;
private long insertCount = 0;
private Queue<List<Record>> queue;
private boolean isStop;
private ConnHolder connHolder;
private BlockingQueue<List<Record>> queue;
private boolean isStop;
private AbstractConnHolder connHolder;
private final long taskId;
private ServerConnectInfo connInfo;
private final long taskId;
private ServerConnectInfo connInfo;
// 失败重试次数
private int failTryCount = Config.DEFAULT_FAIL_TRY_COUNT;
private boolean printCost = Config.DEFAULT_PRINT_COST;
private long costBound = Config.DEFAULT_COST_BOUND;
private List<Pair<String, int[]>> deleteMeta;
// 失败重试次数
private int failTryCount = Config.DEFAULT_FAIL_TRY_COUNT;
private boolean printCost = Config.DEFAULT_PRINT_COST;
private long costBound = Config.DEFAULT_COST_BOUND;
public InsertTask(
final long taskId,
Queue<List<Record>> recordsQueue,
Configuration config,
ServerConnectInfo connectInfo,
String writeRecordSql,
List<Pair<String, int[]>> deleteMeta) {
this.taskId = taskId;
this.queue = recordsQueue;
this.connInfo = connectInfo;
failTryCount = config.getInt(Config.FAIL_TRY_COUNT, Config.DEFAULT_FAIL_TRY_COUNT);
printCost = config.getBool(Config.PRINT_COST, Config.DEFAULT_PRINT_COST);
costBound = config.getLong(Config.COST_BOUND, Config.DEFAULT_COST_BOUND);
this.connHolder = new ObClientConnHolder(config, connInfo.jdbcUrl,
connInfo.getFullUserName(), connInfo.password);
this.writeRecordSql = writeRecordSql;
this.isStop = false;
this.deleteMeta = deleteMeta;
connHolder.initConnection();
}
void setWriterTask(ConcurrentTableWriterTask writerTask) {
this.writerTask = writerTask;
}
void setWriter(ConcurrentTableWriter writer) {
this.writer = writer;
}
public InsertTask(
final long taskId,
BlockingQueue<List<Record>> recordsQueue,
Configuration config,
ServerConnectInfo connectInfo,
String writeRecordSql) {
this.taskId = taskId;
this.queue = recordsQueue;
this.connInfo = connectInfo;
failTryCount = config.getInt(Config.FAIL_TRY_COUNT, Config.DEFAULT_FAIL_TRY_COUNT);
printCost = config.getBool(Config.PRINT_COST, Config.DEFAULT_PRINT_COST);
costBound = config.getLong(Config.COST_BOUND, Config.DEFAULT_COST_BOUND);
this.connHolder = new ObClientConnHolder(config, connInfo.jdbcUrl,
connInfo.getFullUserName(), connInfo.password);
this.writeRecordSql = writeRecordSql;
this.isStop = false;
connHolder.initConnection();
}
private boolean isStop() { return isStop; }
public void setStop() { isStop = true; }
public long getTotalCost() { return totalCost; }
public long getInsertCount() { return insertCount; }
@Override
public void run() {
Thread.currentThread().setName(String.format("%d-insertTask-%d", taskId, Thread.currentThread().getId()));
LOG.debug("Task {} start to execute...", taskId);
while (!isStop()) {
try {
List<Record> records = queue.poll();
if (null != records) {
doMultiInsert(records, this.printCost, this.costBound);
void setWriterTask(ConcurrentTableWriterTask writerTask) {
this.writerTask = writerTask;
}
} else if (writerTask.isFinished()) {
writerTask.singalTaskFinish();
LOG.debug("not more task, thread exist ...");
break;
} else {
TimeUnit.MILLISECONDS.sleep(5);
}
} catch (InterruptedException e) {
LOG.debug("TableWriter is interrupt");
} catch (Exception e) {
LOG.warn("ERROR UNEXPECTED {}", e);
}
}
LOG.debug("Thread exist...");
}
public void destroy() {
connHolder.destroy();
};
public void calStatistic(final long cost) {
writer.increFinishCount();
++insertCount;
totalCost += cost;
if (this.printCost && cost > this.costBound) {
LOG.info("slow multi insert cost {}ms", cost);
}
}
void setWriter(ConcurrentTableWriter writer) {
this.writer = writer;
}
private void doDelete(Connection conn, final List<Record> buffer) throws SQLException {
if(deleteMeta == null || deleteMeta.size() == 0) {
return;
}
for (int i = 0; i < deleteMeta.size(); i++) {
String deleteSql = deleteMeta.get(i).getKey();
int[] valueIdx = deleteMeta.get(i).getValue();
PreparedStatement ps = null;
try {
ps = conn.prepareStatement(deleteSql);
StringBuilder builder = new StringBuilder();
for (Record record : buffer) {
int bindIndex = 0;
for (int idx : valueIdx) {
writerTask.fillStatementIndex(ps, bindIndex++, idx, record.getColumn(idx));
builder.append(record.getColumn(idx).asString()).append(",");
}
ps.addBatch();
}
LOG.debug("delete values: " + builder.toString());
ps.executeBatch();
} catch (SQLException ex) {
LOG.error("SQL Exception when delete records with {}", deleteSql, ex);
throw ex;
} finally {
DBUtil.closeDBResources(ps, null);
}
}
}
private boolean isStop() {
return isStop;
}
public void doMultiInsert(final List<Record> buffer, final boolean printCost, final long restrict) {
checkMemstore();
Connection conn = connHolder.getConn();
boolean success = false;
long cost = 0;
long startTime = 0;
try {
for (int i = 0; i < failTryCount; ++i) {
if (i > 0) {
try {
int sleep = i >= 9 ? 500 : 1 << i;//不明白为什么要sleep 500s
TimeUnit.SECONDS.sleep(sleep);
} catch (InterruptedException e) {
LOG.info("thread interrupted ..., ignore");
}
conn = connHolder.getConn();
LOG.info("retry {}, start do batch insert, size={}", i, buffer.size());
checkMemstore();
}
startTime = System.currentTimeMillis();
PreparedStatement ps = null;
try {
conn.setAutoCommit(false);
public void setStop() {
isStop = true;
}
// do delete if necessary
doDelete(conn, buffer);
public long getTotalCost() {
return totalCost;
}
ps = conn.prepareStatement(writeRecordSql);
for (Record record : buffer) {
ps = writerTask.fillStatement(ps, record);
ps.addBatch();
}
ps.executeBatch();
conn.commit();
success = true;
cost = System.currentTimeMillis() - startTime;
calStatistic(cost);
break;
} catch (SQLException e) {
LOG.warn("Insert fatal error SqlState ={}, errorCode = {}, {}", e.getSQLState(), e.getErrorCode(), e);
if (i == 0 || i > 10 ) {
for (Record record : buffer) {
LOG.warn("ERROR : record {}", record);
}
}
// 按照错误码分类，分情况处理
// 如果是OB系统级异常,则需要重建连接
boolean fatalFail = ObWriterUtils.isFatalError(e);
if (fatalFail) {
ObWriterUtils.sleep(300000);
connHolder.reconnect();
// 如果是可恢复的异常,则重试
} else if (ObWriterUtils.isRecoverableError(e)) {
conn.rollback();
ObWriterUtils.sleep(60000);
} else {// 其它异常直接退出,采用逐条写入方式
conn.rollback();
ObWriterUtils.sleep(1000);
break;
}
} catch (Exception e) {
e.printStackTrace();
LOG.warn("Insert error unexpected {}", e);
} finally {
DBUtil.closeDBResources(ps, null);
}
}
} catch (SQLException e) {
LOG.warn("ERROR:retry failSql State ={}, errorCode = {}, {}", e.getSQLState(), e.getErrorCode(), e);
}
public long getInsertCount() {
return insertCount;
}
if (!success) {
try {
LOG.info("do one insert");
conn = connHolder.reconnect();
doOneInsert(conn, buffer);
cost = System.currentTimeMillis() - startTime;
calStatistic(cost);
} finally {
}
}
}
@Override
public void run() {
Thread.currentThread().setName(String.format("%d-insertTask-%d", taskId, Thread.currentThread().getId()));
LOG.debug("Task {} start to execute...", taskId);
while (!isStop()) {
try {
List<Record> records = queue.poll(5, TimeUnit.MILLISECONDS);
if (null != records) {
doMultiInsert(records, this.printCost, this.costBound);
} else if (writerTask.isFinished()) {
writerTask.singalTaskFinish();
LOG.debug("not more task, thread exist ...");
break;
}
} catch (InterruptedException e) {
LOG.debug("TableWriter is interrupt");
} catch (Exception e) {
LOG.warn("ERROR UNEXPECTED ", e);
}
}
LOG.debug("Thread exist...");
}
// process one row, delete before insert
private void doOneInsert(Connection connection, List<Record> buffer) {
List<PreparedStatement> deletePstmtList = new ArrayList();
PreparedStatement preparedStatement = null;
try {
connection.setAutoCommit(false);
if (deleteMeta != null && deleteMeta.size() > 0) {
for (int i = 0; i < deleteMeta.size(); i++) {
String deleteSql = deleteMeta.get(i).getKey();
deletePstmtList.add(connection.prepareStatement(deleteSql));
}
}
public void destroy() {
connHolder.destroy();
}
preparedStatement = connection.prepareStatement(this.writeRecordSql);
for (Record record : buffer) {
try {
for (int i = 0; i < deletePstmtList.size(); i++) {
PreparedStatement deleteStmt = deletePstmtList.get(i);
int[] valueIdx = deleteMeta.get(i).getValue();
int bindIndex = 0;
for (int idx : valueIdx) {
writerTask.fillStatementIndex(deleteStmt, bindIndex++, idx, record.getColumn(idx));
}
deleteStmt.execute();
}
preparedStatement = writerTask.fillStatement(preparedStatement, record);
preparedStatement.execute();
connection.commit();
} catch (SQLException e) {
writerTask.collectDirtyRecord(record, e);
} finally {
// 此处不应该关闭statement，后续的数据还需要用到
}
}
} catch (Exception e) {
throw DataXException.asDataXException(
DBUtilErrorCode.WRITE_DATA_ERROR, e);
} finally {
DBUtil.closeDBResources(preparedStatement, null);
for (PreparedStatement pstmt : deletePstmtList) {
DBUtil.closeDBResources(pstmt, null);
}
}
}
public void calStatistic(final long cost) {
writer.increFinishCount();
++insertCount;
totalCost += cost;
if (this.printCost && cost > this.costBound) {
LOG.info("slow multi insert cost {}ms", cost);
}
}
private void checkMemstore() {
while (writerTask.isMemStoreFull()) {
ObWriterUtils.sleep(30000);
}
}
public void doMultiInsert(final List<Record> buffer, final boolean printCost, final long restrict) {
checkMemstore();
Connection conn = connHolder.getConn();
boolean success = false;
long cost = 0;
long startTime = 0;
try {
for (int i = 0; i < failTryCount; ++i) {
if (i > 0) {
conn = connHolder.getConn();
LOG.info("retry {}, start do batch insert, size={}", i, buffer.size());
checkMemstore();
}
startTime = System.currentTimeMillis();
PreparedStatement ps = null;
try {
conn.setAutoCommit(false);
ps = conn.prepareStatement(writeRecordSql);
for (Record record : buffer) {
ps = writerTask.fillStatement(ps, record);
ps.addBatch();
}
ps.executeBatch();
conn.commit();
success = true;
cost = System.currentTimeMillis() - startTime;
calStatistic(cost);
break;
} catch (SQLException e) {
LOG.warn("Insert fatal error SqlState ={}, errorCode = {}, {}", e.getSQLState(), e.getErrorCode(), e);
if (LOG.isDebugEnabled() && (i == 0 || i > 10)) {
for (Record record : buffer) {
LOG.warn("ERROR : record {}", record);
}
}
// 按照错误码分类，分情况处理
// 如果是OB系统级异常,则需要重建连接
boolean fatalFail = ObWriterUtils.isFatalError(e);
if (fatalFail) {
ObWriterUtils.sleep(300000);
connHolder.reconnect();
// 如果是可恢复的异常,则重试
} else if (ObWriterUtils.isRecoverableError(e)) {
conn.rollback();
ObWriterUtils.sleep(60000);
} else {// 其它异常直接退出,采用逐条写入方式
conn.rollback();
ObWriterUtils.sleep(1000);
break;
}
} catch (Exception e) {
e.printStackTrace();
LOG.warn("Insert error unexpected {}", e);
} finally {
DBUtil.closeDBResources(ps, null);
}
}
} catch (SQLException e) {
LOG.warn("ERROR:retry failSql State ={}, errorCode = {}, {}", e.getSQLState(), e.getErrorCode(), e);
}
if (!success) {
LOG.info("do one insert");
conn = connHolder.reconnect();
writerTask.doOneInsert(conn, buffer);
cost = System.currentTimeMillis() - startTime;
calStatistic(cost);
}
}
private void checkMemstore() {
if (writerTask.isShouldSlow()) {
ObWriterUtils.sleep(100);
} else {
while (writerTask.isShouldPause()) {
ObWriterUtils.sleep(100);
}
}
}
}

4
oceanbasev10writer/src/main/java/com/alibaba/datax/plugin/writer/oceanbasev10writer/task/SingleTableWriterTask.java
View File

@ -12,7 +12,7 @@ import com.alibaba.datax.plugin.rdbms.util.DataBaseType;
import com.alibaba.datax.plugin.rdbms.writer.CommonRdbmsWriter;
import com.alibaba.datax.plugin.rdbms.writer.Key;
import com.alibaba.datax.plugin.writer.oceanbasev10writer.Config;
import com.alibaba.datax.plugin.writer.oceanbasev10writer.ext.ConnHolder;
import com.alibaba.datax.plugin.writer.oceanbasev10writer.ext.AbstractConnHolder;
import com.alibaba.datax.plugin.writer.oceanbasev10writer.ext.ObClientConnHolder;
import com.alibaba.datax.plugin.writer.oceanbasev10writer.util.ObWriterUtils;
@ -30,7 +30,7 @@ public class SingleTableWriterTask extends CommonRdbmsWriter.Task {
// 失败重试次数
private int failTryCount = Config.DEFAULT_FAIL_TRY_COUNT;
private ConnHolder connHolder;
private AbstractConnHolder connHolder;
private String obWriteMode = "update";
private boolean isOracleCompatibleMode = false;
private String obUpdateColumns = null;

44
oceanbasev10writer/src/main/java/com/alibaba/datax/plugin/writer/oceanbasev10writer/util/DbUtils.java
View File

@ -66,4 +66,48 @@ public class DbUtils {
return value;
}
/**
* build sys connection from ordinary jdbc url
*
* @param jdbcUrl
* @param clusterName
* @return
* @throws Exception
*/
public static Connection buildSysConn(String jdbcUrl, String clusterName) throws Exception {
jdbcUrl = jdbcUrl.replace("jdbc:mysql://", "jdbc:oceanbase://");
int startIdx = jdbcUrl.indexOf('/', "jdbc:oceanbase://".length());
int endIdx = jdbcUrl.lastIndexOf('?');
String prefix = jdbcUrl.substring(0, startIdx + 1);
final String postfix = jdbcUrl.substring(endIdx);
String sysJDBCUrl = prefix + "oceanbase" + postfix;
String tenantName = "sys";
String[][] userConfigs = {
{"monitor", "monitor"}
};
Connection conn = null;
for (String[] userConfig : userConfigs) {
try {
conn = DBUtil.getConnectionWithoutRetry(DataBaseType.OceanBase, sysJDBCUrl, String.format("%s@%s#%s", userConfig[0],
tenantName, clusterName), userConfig[1]);
} catch (Exception e) {
LOG.warn("fail connecting to ob: " + e.getMessage());
}
if (conn == null) {
LOG.warn("fail to get connection with user " + userConfig[0] + ", try alternative user.");
} else {
break;
}
}
if (conn == null) {
throw new Exception("fail to get connection with sys tenant.");
}
return conn;
}
}

65
oceanbasev10writer/src/main/java/com/alibaba/datax/plugin/writer/oceanbasev10writer/util/ObWriterUtils.java
View File

@ -4,6 +4,7 @@ import com.alibaba.datax.plugin.rdbms.reader.util.ObVersion;
import com.alibaba.datax.plugin.rdbms.util.DBUtil;
import com.alibaba.datax.plugin.rdbms.writer.CommonRdbmsWriter.Task;
import com.alibaba.datax.plugin.writer.oceanbasev10writer.Config;
import org.apache.commons.lang3.RandomUtils;
import org.apache.commons.lang3.StringUtils;
import org.apache.commons.lang3.tuple.ImmutablePair;
import org.apache.commons.lang3.tuple.Pair;
@ -12,6 +13,7 @@ import org.slf4j.LoggerFactory;
import java.sql.*;
import java.util.*;
import static com.alibaba.datax.plugin.writer.oceanbasev10writer.Config.DEFAULT_SLOW_MEMSTORE_THRESHOLD;
public class ObWriterUtils {
@ -21,6 +23,9 @@ public class ObWriterUtils {
private static String CHECK_MEMSTORE = "select 1 from %s.gv$memstore t where t.total>t.mem_limit * ?";
private static final String CHECK_MEMSTORE_4_0 = "select 1 from %s.gv$ob_memstore t where t.MEMSTORE_USED>t.MEMSTORE_LIMIT * ?";
private static String CHECK_MEMSTORE_RATIO = "select min(t.total/t.mem_limit) from %s.gv$memstore t";
private static final String CHECK_MEMSTORE_RATIO_4_0 = "select min(t.MEMSTORE_USED/t.MEMSTORE_LIMIT) from %s.gv$ob_memstore t";
private static Set<String> databaseKeywords;
private static String compatibleMode = null;
private static String obVersion = null;
@ -81,6 +86,30 @@ public class ObWriterUtils {
return result;
}
public static double queryMemUsedRatio (Connection conn) {
PreparedStatement ps = null;
ResultSet rs = null;
double result = 0;
try {
String sysDbName = "oceanbase";
if (isOracleMode()) {
sysDbName = "sys";
}
ps = conn.prepareStatement(String.format(getMemStoreRatioSql(), sysDbName));
rs = ps.executeQuery();
// 只要有满足条件的,则表示当前租户 有个机器的memstore即将满
if (rs.next()) {
result = rs.getDouble(1);
}
} catch (Throwable e) {
LOG.warn("Check memstore fail, reason: {}. Use a random value instead.", e.getMessage());
result = RandomUtils.nextDouble(0.3D, DEFAULT_SLOW_MEMSTORE_THRESHOLD + 0.2D);
} finally {
//do not need to close the statment in ob1.0
}
return result;
}
public static boolean isOracleMode(){
return (compatibleMode.equals(Config.OB_COMPATIBLE_MODE_ORACLE));
}
@ -93,6 +122,14 @@ public class ObWriterUtils {
}
}
private static String getMemStoreRatioSql() {
if (ObVersion.valueOf(obVersion).compareTo(ObVersion.V4000) >= 0) {
return CHECK_MEMSTORE_RATIO_4_0;
} else {
return CHECK_MEMSTORE_RATIO;
}
}
public static String getCompatibleMode() {
return compatibleMode;
}
@ -181,7 +218,7 @@ public class ObWriterUtils {
}
List<String> s = uniqueKeys.get(keyName);
if (s == null) {
s = new ArrayList();
s = new ArrayList<>();
uniqueKeys.put(keyName, s);
}
s.add(columnName);
@ -253,7 +290,7 @@ public class ObWriterUtils {
String columnName = StringUtils.upperCase(rs.getString("Column_name"));
Set<String> s = uniqueKeys.get(keyName);
if (s == null) {
s = new HashSet();
s = new HashSet<>();
uniqueKeys.put(keyName, s);
}
s.add(columnName);
@ -415,7 +452,7 @@ public class ObWriterUtils {
private static Set<Integer> white = new HashSet<Integer>();
static {
int[] errList = { 1213, 1047, 1041, 1094, 4000, 4012 };
int[] errList = { 1213, 1047, 1041, 1094, 4000, 4012, 4013 };
for (int err : errList) {
white.add(err);
}
@ -445,4 +482,26 @@ public class ObWriterUtils {
t.setDaemon(true);
t.start();
}
/**
*
*/
public static enum LoadMode {
/**
* Fast insert
*/
FAST,
/**
* Insert slowly
*/
SLOW,
/**
* Pause to insert
*/
PAUSE
}
}

17
plugin-rdbms-util/src/main/java/com/alibaba/datax/plugin/rdbms/writer/CommonRdbmsWriter.java
View File

@ -12,6 +12,7 @@ import com.alibaba.datax.plugin.rdbms.util.DataBaseType;
import com.alibaba.datax.plugin.rdbms.util.RdbmsException;
import com.alibaba.datax.plugin.rdbms.writer.util.OriginalConfPretreatmentUtil;
import com.alibaba.datax.plugin.rdbms.writer.util.WriterUtil;
import java.util.concurrent.atomic.AtomicLong;
import org.apache.commons.lang3.StringUtils;
import org.apache.commons.lang3.tuple.Triple;
import org.slf4j.Logger;
@ -199,6 +200,9 @@ public class CommonRdbmsWriter {
protected boolean emptyAsNull;
protected Triple<List<String>, List<Integer>, List<String>> resultSetMetaData;
private int dumpRecordLimit = Constant.DEFAULT_DUMP_RECORD_LIMIT;
private AtomicLong dumpRecordCount = new AtomicLong(0);
public Task(DataBaseType dataBaseType) {
this.dataBaseType = dataBaseType;
}
@ -209,7 +213,7 @@ public class CommonRdbmsWriter {
this.jdbcUrl = writerSliceConfig.getString(Key.JDBC_URL);
//ob10的处理
if (this.jdbcUrl.startsWith(Constant.OB10_SPLIT_STRING) && this.dataBaseType == DataBaseType.MySql) {
if (this.jdbcUrl.startsWith(Constant.OB10_SPLIT_STRING)) {
String[] ss = this.jdbcUrl.split(Constant.OB10_SPLIT_STRING_PATTERN);
if (ss.length != 3) {
throw DataXException
@ -368,7 +372,11 @@ public class CommonRdbmsWriter {
}
}
protected void doOneInsert(Connection connection, List<Record> buffer) {
public boolean needToDumpRecord() {
return dumpRecordCount.incrementAndGet() <= dumpRecordLimit;
}
public void doOneInsert(Connection connection, List<Record> buffer) {
PreparedStatement preparedStatement = null;
try {
connection.setAutoCommit(true);
@ -381,7 +389,10 @@ public class CommonRdbmsWriter {
preparedStatement, record);
preparedStatement.execute();
} catch (SQLException e) {
LOG.debug(e.toString());
if (needToDumpRecord()) {
LOG.warn("ERROR : record {}", record);
LOG.warn("Insert fatal error SqlState ={}, errorCode = {}, {}", e.getSQLState(), e.getErrorCode(), e);
}
this.taskPluginCollector.collectDirtyRecord(record, e);
} finally {

1
plugin-rdbms-util/src/main/java/com/alibaba/datax/plugin/rdbms/writer/Constant.java
View File

@ -19,4 +19,5 @@ public final class Constant {
public static final String OB10_SPLIT_STRING = "||_dsc_ob10_dsc_||";
public static final String OB10_SPLIT_STRING_PATTERN = "\\|\\|_dsc_ob10_dsc_\\|\\|";
public static final int DEFAULT_DUMP_RECORD_LIMIT = 10;
}

15
plugin-unstructured-storage-util/src/main/java/com/alibaba/datax/plugin/unstructuredstorage/reader/ColumnEntry.java
View File

@ -1,11 +1,11 @@
package com.alibaba.datax.plugin.unstructuredstorage.reader;
import com.alibaba.fastjson2.JSON;
import org.apache.commons.lang3.StringUtils;
import java.text.DateFormat;
import java.text.SimpleDateFormat;
import org.apache.commons.lang3.StringUtils;
import com.alibaba.fastjson2.JSON;
public class ColumnEntry {
private Integer index;
@ -13,6 +13,15 @@ public class ColumnEntry {
private String value;
private String format;
private DateFormat dateParse;
private String name;
public String getName() {
return name;
}
public void setName(String name) {
this.name = name;
}
public Integer getIndex() {
return index;

3
plugin-unstructured-storage-util/src/main/java/com/alibaba/datax/plugin/unstructuredstorage/reader/Key.java
View File

@ -87,4 +87,7 @@ public class Key {
public static final String TAR_FILE_FILTER_PATTERN = "tarFileFilterPattern";
public static final String ENABLE_INNER_SPLIT = "enableInnerSplit";
public static final String HIVE_PARTION_COLUMN = "hivePartitionColumn";
}

66
plugin-unstructured-storage-util/src/main/java/com/alibaba/datax/plugin/unstructuredstorage/reader/UnstructuredStorageReaderUtil.java
View File

@ -715,4 +715,70 @@ public class UnstructuredStorageReaderUtil {
public static void setSourceFile(Configuration configuration, List<String> sourceFiles){
configuration.set(Constant.SOURCE_FILE, sourceFiles);
}
public static ArrayList<Column> getHivePartitionColumns(String filePath, List<ColumnEntry> hivePartitionColumnEntrys) {
ArrayList<Column> hivePartitionColumns = new ArrayList<>();
if (null == hivePartitionColumnEntrys) {
return hivePartitionColumns;
}
// 对于分区列pt，则从path中找/pt=xxx/，xxx即分区列的值，另外确认在path中只有一次出现
for (ColumnEntry columnEntry : hivePartitionColumnEntrys) {
String parColName = columnEntry.getValue();
String patten = String.format("/%s=", parColName);
int index = filePath.indexOf(patten);
if (index != filePath.lastIndexOf(patten)) {
throw new DataXException(String.format("Found multiple partition folder in filePath %s, partition: %s", filePath, parColName));
}
String subPath = filePath.substring(index + 1);
int firstSeparatorIndex = subPath.indexOf(File.separator);
if (firstSeparatorIndex > 0) {
subPath = subPath.substring(0, firstSeparatorIndex);
}
if (subPath.split("=").length != 2) {
throw new DataXException(String.format("Found partition column value in filePath %s failed, partition: %s", filePath, parColName));
}
String parColVal = subPath.split("=")[1];
String colType = columnEntry.getType().toUpperCase();
Type type = Type.valueOf(colType);
Column generateColumn;
switch (type) {
case STRING:
generateColumn = new StringColumn(parColVal);
break;
case DOUBLE:
generateColumn = new DoubleColumn(parColVal);
break;
case LONG:
generateColumn = new LongColumn(parColVal);
break;
case BOOLEAN:
generateColumn = new BoolColumn(parColVal);
break;
case DATE:
generateColumn = new DateColumn(new StringColumn(parColVal.toString()).asDate());
break;
default:
String errorMessage = String.format("The column type you configured is not currently supported: %s", parColVal);
LOG.error(errorMessage);
throw DataXException.asDataXException(UnstructuredStorageReaderErrorCode.NOT_SUPPORT_TYPE, errorMessage);
}
hivePartitionColumns.add(generateColumn);
}
return hivePartitionColumns;
}
}

4
plugin-unstructured-storage-util/src/main/java/com/alibaba/datax/plugin/unstructuredstorage/writer/Constant.java
View File

@ -12,9 +12,13 @@ public class Constant {
public static final String FILE_FORMAT_TEXT = "text";
public static final String FILE_FORMAT_SQL = "sql";
//每个分块10MB，最大10000个分块, MAX_FILE_SIZE 单位: MB
public static final Long MAX_FILE_SIZE = 10 * 10000L;
public static final int DEFAULT_COMMIT_SIZE = 2000;
public static final String DEFAULT_SUFFIX = "";
public static final String TRUNCATE = "truncate";

6
plugin-unstructured-storage-util/src/main/java/com/alibaba/datax/plugin/unstructuredstorage/writer/Key.java
View File

@ -5,12 +5,16 @@ public class Key {
// must have
public static final String FILE_NAME = "fileName";
public static final String TABLE_NAME = "table";
// must have
public static final String WRITE_MODE = "writeMode";
// not must , not default ,
public static final String FIELD_DELIMITER = "fieldDelimiter";
public static final String QUOTE_CHARACTER = "quoteChar";
// not must , default os's line delimiter
public static final String LINE_DELIMITER = "lineDelimiter";
@ -38,6 +42,8 @@ public class Key {
// writer maxFileSize
public static final String MAX_FILE_SIZE = "maxFileSize";
public static final String COMMIT_SIZE = "commitSize";
// writer file type suffix, like .txt .csv
public static final String SUFFIX = "suffix";

69
plugin-unstructured-storage-util/src/main/java/com/alibaba/datax/plugin/unstructuredstorage/writer/SqlWriter.java Normal file
View File

@ -0,0 +1,69 @@
package com.alibaba.datax.plugin.unstructuredstorage.writer;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import java.io.IOException;
import java.io.Writer;
import java.util.List;
import java.util.stream.Collectors;
public class SqlWriter implements UnstructuredWriter {
private static final Logger LOG = LoggerFactory.getLogger(SqlWriter.class);
private Writer sqlWriter;
private String quoteChar;
private String lineSeparator;
private String tableName;
private StringBuilder insertPrefix;
public SqlWriter(Writer writer, String quoteChar, String tableName, String lineSeparator, List<String> columnNames) {
this.sqlWriter = writer;
this.quoteChar = quoteChar;
this.lineSeparator = lineSeparator;
this.tableName = tableName;
buildInsertPrefix(columnNames);
}
@Override
public void writeOneRecord(List<String> splitedRows) throws IOException {
if (splitedRows.isEmpty()) {
LOG.info("Found one record line which is empty.");
return;
}
StringBuilder sqlPatten = new StringBuilder(4096).append(insertPrefix);
sqlPatten.append(splitedRows.stream().map(e -> "'" + DataXCsvWriter.replace(e, "'", "''") + "'").collect(Collectors.joining(",")));
sqlPatten.append(");").append(lineSeparator);
this.sqlWriter.write(sqlPatten.toString());
}
private void buildInsertPrefix(List<String> columnNames) {
StringBuilder sb = new StringBuilder(columnNames.size() * 32);
for (String columnName : columnNames) {
if (sb.length() > 0) {
sb.append(",");
}
sb.append(quoteChar).append(columnName).append(quoteChar);
}
int capacity = 16 + tableName.length() + sb.length();
this.insertPrefix = new StringBuilder(capacity);
this.insertPrefix.append("INSERT INTO ").append(tableName).append(" (").append(sb).append(")").append(" VALUES(");
}
public void appendCommit() throws IOException {
this.sqlWriter.write("commit;" + lineSeparator);
}
@Override
public void flush() throws IOException {
this.sqlWriter.flush();
}
@Override
public void close() throws IOException {
this.sqlWriter.close();
}
}

28
plugin-unstructured-storage-util/src/main/java/com/alibaba/datax/plugin/unstructuredstorage/writer/UnstructuredStorageWriterUtil.java
View File

@ -10,7 +10,10 @@ import java.util.Set;
import java.util.UUID;
import com.alibaba.datax.common.element.BytesColumn;
import com.google.common.base.Preconditions;
import org.apache.commons.codec.binary.Base64;
import org.apache.commons.collections.CollectionUtils;
import org.apache.commons.compress.compressors.CompressorOutputStream;
import org.apache.commons.compress.compressors.bzip2.BZip2CompressorOutputStream;
import org.apache.commons.compress.compressors.gzip.GzipCompressorOutputStream;
@ -90,7 +93,8 @@ public class UnstructuredStorageWriterUtil {
writerConfiguration.set(Key.FILE_FORMAT, fileFormat);
}
if (!Constant.FILE_FORMAT_CSV.equals(fileFormat)
&& !Constant.FILE_FORMAT_TEXT.equals(fileFormat)) {
&& !Constant.FILE_FORMAT_TEXT.equals(fileFormat)
&& !Constant.FILE_FORMAT_SQL.equals(fileFormat)) {
throw DataXException.asDataXException(
UnstructuredStorageWriterErrorCode.ILLEGAL_VALUE, String.format("unsupported fileFormat %s ", fileFormat));
}
@ -232,22 +236,31 @@ public class UnstructuredStorageWriterUtil {
// warn: default false
String fileFormat = config.getString(Key.FILE_FORMAT, Constant.FILE_FORMAT_TEXT);
boolean isSqlFormat = Constant.FILE_FORMAT_SQL.equalsIgnoreCase(fileFormat);
int commitSize = config.getInt(Key.COMMIT_SIZE, Constant.DEFAULT_COMMIT_SIZE);
UnstructuredWriter unstructuredWriter = produceUnstructuredWriter(fileFormat, config, writer);
List<String> headers = config.getList(Key.HEADER, String.class);
if (null != headers && !headers.isEmpty()) {
if (null != headers && !headers.isEmpty() && !isSqlFormat) {
unstructuredWriter.writeOneRecord(headers);
}
Record record = null;
int receivedCount = 0;
String byteEncoding = config.getString(Key.BYTE_ENCODING);
while ((record = lineReceiver.getFromReader()) != null) {
UnstructuredStorageWriterUtil.transportOneRecord(record,
nullFormat, dateParse, taskPluginCollector,
unstructuredWriter, byteEncoding);
receivedCount++;
if (isSqlFormat && receivedCount % commitSize == 0) {
((SqlWriter) unstructuredWriter).appendCommit();
}
}
if (isSqlFormat) {
((SqlWriter)unstructuredWriter).appendCommit();
}
// warn:由调用方控制流的关闭
// IOUtils.closeQuietly(unstructuredWriter);
}
@ -262,6 +275,15 @@ public class UnstructuredStorageWriterUtil {
String fieldDelimiter = config.getString(Key.FIELD_DELIMITER, String.valueOf(Constant.DEFAULT_FIELD_DELIMITER));
unstructuredWriter = TextCsvWriterManager.produceTextWriter(writer, fieldDelimiter, config);
} else if (StringUtils.equalsIgnoreCase(fileFormat, Constant.FILE_FORMAT_SQL)) {
String tableName = config.getString(Key.TABLE_NAME);
Preconditions.checkArgument(StringUtils.isNotEmpty(tableName), "table name is empty");
String quoteChar = config.getString(Key.QUOTE_CHARACTER);
Preconditions.checkArgument(StringUtils.isNotEmpty(quoteChar), "quote character is empty");
String lineSeparator = config.getString(Key.LINE_DELIMITER, IOUtils.LINE_SEPARATOR);
List<String> headers = config.getList(Key.HEADER, String.class);
Preconditions.checkArgument(CollectionUtils.isNotEmpty(headers), "column names are empty");
unstructuredWriter = new SqlWriter(writer, quoteChar, tableName, lineSeparator, headers);
}
return unstructuredWriter;

2
userGuid.md
View File

@ -17,7 +17,7 @@ DataX本身作为数据同步框架，将不同数据源的同步抽象为从源
* 工具部署
* 方法一、直接下载DataX工具包：[DataX下载地址](https://datax-opensource.oss-cn-hangzhou.aliyuncs.com/202308/datax.tar.gz)
* 方法一、直接下载DataX工具包：[DataX下载地址](https://datax-opensource.oss-cn-hangzhou.aliyuncs.com/202309/datax.tar.gz)
下载后解压至本地某个目录，进入bin目录，即可运行同步作业：