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HBase 5种写入数据方式

分类: 文章 • 2025-02-22 14:34:40

Version ：hadoop1.2.1; hbaes0.94.16;

HBase写入数据方式（参考：《HBase The Definitive Guide》），可以简单分为下面几种：

1. 直接使用HTable进行导入，代码如下：

package hbase.curd;

import java.io.IOException;
import java.util.ArrayList;
import java.util.List;
import java.util.Random;

import org.apache.hadoop.hbase.client.HTable;
import org.apache.hadoop.hbase.client.Put;
import org.apache.hadoop.hbase.util.Bytes;

public class PutExample {

  /**
   * @param args
   * @throws IOException 
   */
  private HTable  table = HTableUtil.getHTable("testtable");
  public static void main(String[] args) throws IOException {
    // TODO Auto-generated method stub
    PutExample pe = new PutExample();
    pe.putRows();
    
  }
  
  public void putRows(){
    List<Put> puts = new ArrayList<Put>();
    for(int i=0;i<10;i++){
      Put put = new Put(Bytes.toBytes("row_"+i));
      Random random = new Random();
      
      if(random.nextBoolean()){
        put.add(Bytes.toBytes("colfam1"), Bytes.toBytes("qual1"), Bytes.toBytes("colfam1_qual1_value_"+i));
      }
      if(random.nextBoolean()){
        put.add(Bytes.toBytes("colfam1"), Bytes.toBytes("qual2"), Bytes.toBytes("colfam1_qual1_value_"+i));
      }
      if(random.nextBoolean()){
        put.add(Bytes.toBytes("colfam1"), Bytes.toBytes("qual3"), Bytes.toBytes("colfam1_qual1_value_"+i));
      }
      if(random.nextBoolean()){
        put.add(Bytes.toBytes("colfam1"), Bytes.toBytes("qual4"), Bytes.toBytes("colfam1_qual1_value_"+i));	
      }
      if(random.nextBoolean()){
        put.add(Bytes.toBytes("colfam1"), Bytes.toBytes("qual5"), Bytes.toBytes("colfam1_qual1_value_"+i));
      }
      puts.add(put);
    }
    try{
      table.put(puts);
      table.close();
    }catch(Exception e){
      e.printStackTrace();
      return ;
    }
    System.out.println("done put rows");
  }

}
其中HTableUtil如下： 
package hbase.curd;

import java.io.IOException;

import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.hbase.HBaseConfiguration;
import org.apache.hadoop.hbase.client.HTable;
import org.apache.hadoop.hbase.util.Bytes;

public class HTableUtil {
  private static HTable table;
  private static Configuration conf;
  
  static{
    conf =HBaseConfiguration.create();
    conf.set("mapred.job.tracker", "hbase:9001");
    conf.set("fs.default.name", "hbase:9000");
    conf.set("hbase.zookeeper.quorum", "hbase");
    try {
      table = new HTable(conf,"testtable");
    } catch (IOException e) {
      // TODO Auto-generated catch block
      e.printStackTrace();
    }
  }
  public static Configuration getConf(){
    return conf;
  }
  public static HTable getHTable(String tablename){
    if(table==null){
      try {
        table= new HTable(conf,tablename);
      } catch (IOException e) {
        // TODO Auto-generated catch block
        e.printStackTrace();
      } 
    }
    return table;
  }
  
  public static  byte[] gB(String name){
    return Bytes.toBytes(name);
  }
}
这一种是没有使用MR的，下面介绍的几种方式都是使用MR的。

2.1 从HDFS文件导入HBase，继承自Mapper，代码如下：

package hbase.mr;

import java.io.IOException;

import hbase.curd.HTableUtil;

import org.apache.commons.cli.CommandLine;
import org.apache.commons.cli.CommandLineParser;
import org.apache.commons.cli.HelpFormatter;
import org.apache.commons.cli.Option;
import org.apache.commons.cli.Options;
import org.apache.commons.cli.PosixParser;
import org.apache.commons.codec.digest.DigestUtils;
import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.fs.Path;
import org.apache.hadoop.hbase.KeyValue;
import org.apache.hadoop.hbase.client.Put;
import org.apache.hadoop.hbase.io.ImmutableBytesWritable;
import org.apache.hadoop.hbase.mapreduce.TableOutputFormat;
import org.apache.hadoop.hbase.util.Bytes;
import org.apache.hadoop.io.LongWritable;
import org.apache.hadoop.io.Text;
import org.apache.hadoop.io.Writable;
import org.apache.hadoop.mapreduce.Job;
import org.apache.hadoop.mapreduce.Mapper;
import org.apache.hadoop.mapreduce.lib.input.FileInputFormat;
import org.apache.hadoop.util.GenericOptionsParser;

public class ImportFromFile {

  /**
   * 从文件导入到HBase
   * @param args
   */
  public static final String NAME="ImportFromFile";
  public enum Counters{LINES}
  
  static class ImportMapper extends Mapper<LongWritable,Text,
    ImmutableBytesWritable,Writable>{
    private byte[] family =null;
    private byte[] qualifier = null;
    @Override
    protected void setup(Context cxt){
      String column = cxt.getConfiguration().get("conf.column");
      byte[][] colkey = KeyValue.parseColumn(Bytes.toBytes(column));
      family = colkey[0];
      if(colkey.length>1){
        qualifier = colkey[1];
      }
    }
    @Override
    public void map(LongWritable offset,Text line,Context cxt){
      try{
        String lineString= line.toString();
        byte[] rowkey= DigestUtils.md5(lineString);
        Put put = new Put(rowkey);
        put.add(family,qualifier,Bytes.toBytes(lineString));
        cxt.write(new ImmutableBytesWritable(rowkey), put);
        cxt.getCounter(Counters.LINES).increment(1);
      }catch(Exception e){
        e.printStackTrace();
      }
    }
  }
  private static CommandLine parseArgs(String[] args){
    Options options = new Options();
    Option o = new Option("t" ,"table",true,"table to import into (must exist)");
    o.setArgName("table-name");
    o.setRequired(true);
    options.addOption(o);
    
    o= new Option("c","column",true,"column to store row data into");
    o.setArgName("family:qualifier");
    o.setRequired(true);
    options.addOption(o);
    
    o = new Option("i", "input", true,
    "the directory or file to read from");
    o.setArgName("path-in-HDFS");
    o.setRequired(true);
    options.addOption(o);
    options.addOption("d", "debug", false, "switch on DEBUG log level");
    CommandLineParser parser = new PosixParser();
    CommandLine cmd = null;
    try {
      cmd = parser.parse(options, args);
    } catch (Exception e) {
      System.err.println("ERROR: " + e.getMessage() + "\n");
      HelpFormatter formatter = new HelpFormatter();
      formatter.printHelp(NAME + " ", options, true);
      System.exit(-1);
    }
    return cmd;
  }
  public static void main(String[] args) throws IOException, InterruptedException, ClassNotFoundException {
    
    Configuration conf = HTableUtil.getConf();
    String[] otherArgs = new GenericOptionsParser(conf, initialArg()).getRemainingArgs(); 
    CommandLine cmd = parseArgs(otherArgs);
    String table = cmd.getOptionValue("t");
    String input = cmd.getOptionValue("i");
    String column = cmd.getOptionValue("c");
    conf.set("conf.column", column);
    Job job = new Job(conf, "Import from file " + input + " into table " + table);
    job.setJarByClass(ImportFromFile.class);
    job.setMapperClass(ImportMapper.class);
    job.setOutputFormatClass(TableOutputFormat.class);
    job.getConfiguration().set(TableOutputFormat.OUTPUT_TABLE, table);
    job.setOutputKeyClass(ImmutableBytesWritable.class);
    job.setOutputValueClass(Writable.class);
    job.setNumReduceTasks(0); 
    FileInputFormat.addInputPath(job, new Path(input));
    System.exit(job.waitForCompletion(true) ? 0 : 1);
  }
  
  private static String[] initialArg(){
    String []args = new String[6];
    args[0]="-c";
    args[1]="fam:data";
    args[2]="-i";
    args[3]="/user/hadoop/input/picdata";
    args[4]="-t";
    args[5]="testtable";
    return args;
  }
}
2.2 读取HBase表写入HBase表中字段，代码如下： 
package hbase.mr;

import hadoop.util.HadoopUtils;

import java.io.IOException;

import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.hbase.KeyValue;
import org.apache.hadoop.hbase.client.Put;
import org.apache.hadoop.hbase.client.Result;
import org.apache.hadoop.hbase.client.Scan;
import org.apache.hadoop.hbase.io.ImmutableBytesWritable;
import org.apache.hadoop.hbase.mapreduce.IdentityTableReducer;
import org.apache.hadoop.hbase.mapreduce.TableMapReduceUtil;
import org.apache.hadoop.hbase.mapreduce.TableMapper;
import org.apache.hadoop.hbase.util.Bytes;
import org.apache.hadoop.io.Writable;
import org.apache.hadoop.mapreduce.Job;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;

public class ParseDriver {

  /**
   * 把hbase表中数据拷贝到其他表（或本表）相同字段
   * @param args
   */
  enum Counters{
    VALID, ROWS, COLS, ERROR
  }
  private static Logger log = LoggerFactory.getLogger(ParseDriver.class);
  static class ParseMapper extends TableMapper<ImmutableBytesWritable,Writable>{
    private byte[] columnFamily =null ;
    private byte[] columnQualifier =null;
    @Override
    protected void setup(Context cxt){
      columnFamily = Bytes.toBytes(cxt.getConfiguration().get("conf.columnfamily"));
      columnQualifier = Bytes.toBytes(cxt.getConfiguration().get("conf.columnqualifier"));
    }
    @Override 
    public void map(ImmutableBytesWritable row,Result columns,Context cxt){
      cxt.getCounter(Counters.ROWS).increment(1);
      String value =null;
      try{
        Put put = new Put(row.get());
        for(KeyValue kv : columns.list()){
          cxt.getCounter(Counters.COLS).increment(1);
          value= Bytes.toStringBinary(kv.getValue());
          if(equals(columnQualifier,kv.getQualifier())){  // 过滤column
            put.add(columnFamily,columnQualifier,kv.getValue());
            cxt.write(row, put);
            cxt.getCounter(Counters.VALID).increment(1);
          }
        }
      }catch(Exception e){
        log.info("Error:"+e.getMessage()+",Row:"+Bytes.toStringBinary(row.get())+
            ",Value:"+value);
        cxt.getCounter(Counters.ERROR).increment(1);
      }
    }
    private boolean equals(byte[] a,byte[] b){
      String aStr= Bytes.toString(a);
      String bStr= Bytes.toString(b);
      if(aStr.equals(bStr)){
        return true;
      }
      return false;
    }
  }
  
  public static void main(String[] args) throws IOException, InterruptedException, ClassNotFoundException {
    byte[] columnFamily = Bytes.toBytes("fam");
    byte[] columnQualifier = Bytes.toBytes("data");
    Scan scan = new Scan ();
    scan.addColumn(columnFamily, columnQualifier);
    HadoopUtils.initialConf("hbase");
    Configuration conf = HadoopUtils.getConf();
    conf.set("conf.columnfamily", Bytes.toStringBinary(columnFamily));
    conf.set("conf.columnqualifier", Bytes.toStringBinary(columnQualifier));
    
    String input ="testtable" ;//
    String output="testtable1"; // 
        
    Job job = new Job(conf,"Parse data in "+input+",write to"+output);
    job.setJarByClass(ParseDriver.class);
    TableMapReduceUtil.initTableMapperJob(input, scan, ParseMapper.class, 
        ImmutableBytesWritable.class, Put.class,job);
    TableMapReduceUtil.initTableReducerJob(output, IdentityTableReducer.class, job);
    
    System.exit(job.waitForCompletion(true)?0:1);
    
  }

}
其中HadoopUtils代码如下： 
package hadoop.util;

import java.io.IOException;
import java.net.URI;
import java.util.ArrayList;
import java.util.List;

import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.fs.FSDataInputStream;
import org.apache.hadoop.fs.FileSystem;
import org.apache.hadoop.fs.Path;
import org.apache.hadoop.io.Text;
import org.apache.hadoop.util.LineReader;

public class HadoopUtils {

  private static Configuration conf;
  public  static void initialConf(){
    conf = new Configuration();
    conf.set("mapred.job.tracker", "hbase:9001");
    conf.set("fs.default.name", "hbase:9000");
    conf.set("hbase.zookeeper.quorum", "hbase");
  }
  public  static void initialConf(String host){
    conf = new Configuration();
    conf.set("mapred.job.tracker", host+":9001");
    conf.set("fs.default.name", host+":9000");
    conf.set("hbase.zookeeper.quorum", host);
  }
  public static Configuration getConf(){
    if(conf==null){
      initialConf();
    }
    return conf;
  }
  
  public static List<String> readFromHDFS(String fileName) throws IOException {
    Configuration conf = getConf();
    FileSystem fs = FileSystem.get(URI.create(fileName), conf);
    FSDataInputStream hdfsInStream = fs.open(new Path(fileName));
    // 按行读取（新版本的方法）
    LineReader inLine = new LineReader(hdfsInStream, conf);
    Text txtLine = new Text();
    
    int iResult = inLine.readLine(txtLine); //读取第一行
    List<String> list = new ArrayList<String>();
    while (iResult > 0 ) {
      list.add(txtLine.toString());
      iResult = inLine.readLine(txtLine);
    }
    
    hdfsInStream.close();
    fs.close();
    return list;
  }
}
2.3 MR和HTable结合，代码如下： 
package hbase.mr;

import hadoop.util.HadoopUtils;
import hbase.mr.AnalyzeDriver.Counters;

import java.io.IOException;
import java.util.Date;

import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.hbase.KeyValue;
import org.apache.hadoop.hbase.client.HTable;
import org.apache.hadoop.hbase.client.Put;
import org.apache.hadoop.hbase.client.Result;
import org.apache.hadoop.hbase.client.Scan;
import org.apache.hadoop.hbase.io.ImmutableBytesWritable;
import org.apache.hadoop.hbase.mapreduce.TableMapReduceUtil;
import org.apache.hadoop.hbase.mapreduce.TableMapper;
import org.apache.hadoop.hbase.util.Bytes;
import org.apache.hadoop.io.Writable;
import org.apache.hadoop.mapreduce.Job;
import org.apache.hadoop.mapreduce.lib.output.NullOutputFormat;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;

public class ParseSinglePutDriver {

  /**
   * 使用HTable进行写入
   * 把infoTable 表中的 qualifier字段复制到qualifier1字段
   * 单个Put
   * @param args
   */
  private static Logger log = LoggerFactory.getLogger(ParseMapper.class);
  static class ParseMapper extends TableMapper<ImmutableBytesWritable,Writable>{
    private HTable infoTable =null ;
    private byte[] columnFamily =null ;
    private byte[] columnQualifier =null;
    private byte[] columnQualifier1 =null;
    @Override 
    protected void setup(Context cxt){
      log.info("ParseSinglePutDriver setup,current time: "+new Date());
      try {
        infoTable = new HTable(cxt.getConfiguration(),
            cxt.getConfiguration().get("conf.infotable"));
        infoTable.setAutoFlush(false);
      } catch (IOException e) {
        log.error("Initial infoTable error:\n"+e.getMessage());
      }
      columnFamily = Bytes.toBytes(cxt.getConfiguration().get("conf.columnfamily"));
      columnQualifier = Bytes.toBytes(cxt.getConfiguration().get("conf.columnqualifier"));
      columnQualifier1 = Bytes.toBytes(cxt.getConfiguration().get("conf.columnqualifier1"));
    }
    @Override 
    protected void cleanup(Context cxt){
      try {
        infoTable.flushCommits();
        log.info("ParseSinglePutDriver cleanup ,current time :"+new Date());
      } catch (IOException e) {
        log.error("infoTable flush commits error:\n"+e.getMessage());
      }
    }
    @Override 
    public void map(ImmutableBytesWritable row,Result columns,Context cxt){
      cxt.getCounter(Counters.ROWS).increment(1);
      String value =null ;
      try{
        Put put = new Put(row.get());
        for(KeyValue kv : columns.list()){
          cxt.getCounter(Counters.COLS).increment(1);
          value= Bytes.toStringBinary(kv.getValue());
          if(equals(columnQualifier,kv.getQualifier())){  // 过滤column
            put.add(columnFamily,columnQualifier1,kv.getValue());
            infoTable.put(put);
          }
        }
      }catch(Exception e){
        log.info("Error:"+e.getMessage()+",Row:"+Bytes.toStringBinary(row.get())+
            ",Value:"+value);
        cxt.getCounter(Counters.ERROR).increment(1);
      }
    }
    private boolean equals(byte[] a,byte[] b){
      String aStr= Bytes.toString(a);
      String bStr= Bytes.toString(b);
      if(aStr.equals(bStr)){
        return true;
      }
      return false;
    }
  }
  public static void main(String[] args) throws IOException, InterruptedException, ClassNotFoundException {
    String input ="testtable";
    byte[] columnFamily = Bytes.toBytes("fam");
    byte[] columnQualifier = Bytes.toBytes("data");
    byte[] columnQualifier1 = Bytes.toBytes("data1");
    Scan scan = new Scan ();
    scan.addColumn(columnFamily, columnQualifier);
    HadoopUtils.initialConf("hbase");
    Configuration conf = HadoopUtils.getConf();
    conf.set("conf.columnfamily", Bytes.toStringBinary(columnFamily));
    conf.set("conf.columnqualifier", Bytes.toStringBinary(columnQualifier));
    conf.set("conf.columnqualifier1", Bytes.toStringBinary(columnQualifier1));
    conf.set("conf.infotable", input);
    
    Job job = new Job(conf,"Parse data in "+input+",into tables");
    job.setJarByClass(ParseSinglePutDriver.class);
    TableMapReduceUtil.initTableMapperJob(input, scan, ParseMapper.class, 
        ImmutableBytesWritable.class, Put.class,job);	
    job.setOutputFormatClass(NullOutputFormat.class);
    job.setNumReduceTasks(0);
    System.exit(job.waitForCompletion(true)?0:1);
  }

}
2.4 上面2.3中的HTable其实也是可以put一个List的，下面的方式就是put一个list的方式，这样效率会高。 
package hbase.mr;

import hadoop.util.HadoopUtils;
import hbase.mr.AnalyzeDriver.Counters;

import java.io.IOException;
import java.util.ArrayList;
import java.util.Date;
import java.util.List;

import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.hbase.KeyValue;
import org.apache.hadoop.hbase.client.HTable;
import org.apache.hadoop.hbase.client.Put;
import org.apache.hadoop.hbase.client.Result;
import org.apache.hadoop.hbase.client.Scan;
import org.apache.hadoop.hbase.io.ImmutableBytesWritable;
import org.apache.hadoop.hbase.mapreduce.TableMapReduceUtil;
import org.apache.hadoop.hbase.mapreduce.TableMapper;
import org.apache.hadoop.hbase.util.Bytes;
import org.apache.hadoop.io.Writable;
import org.apache.hadoop.mapreduce.Job;
import org.apache.hadoop.mapreduce.lib.output.NullOutputFormat;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;

public class ParseListPutDriver {

  /**
   * 使用HTable进行写入
   * List <Put> 进行测试,查看效率
   * 把infoTable 表中的 qualifier字段复制到qualifier1字段
   * @param args
   */
  private static Logger log = LoggerFactory.getLogger(ParseMapper.class);
  static class ParseMapper extends TableMapper<ImmutableBytesWritable,Writable>{
    private HTable infoTable =null ;
    private byte[] columnFamily =null ;
    private byte[] columnQualifier =null;
    private byte[] columnQualifier1 =null;
    private List<Put> list = new ArrayList<Put>();
    @Override 
    protected void setup(Context cxt){
      log.info("ParseListPutDriver setup,current time: "+new Date());
      try {
        infoTable = new HTable(cxt.getConfiguration(),
            cxt.getConfiguration().get("conf.infotable"));
        infoTable.setAutoFlush(false);
      } catch (IOException e) {
        log.error("Initial infoTable error:\n"+e.getMessage());
      }
      columnFamily = Bytes.toBytes(cxt.getConfiguration().get("conf.columnfamily"));
      columnQualifier = Bytes.toBytes(cxt.getConfiguration().get("conf.columnqualifier"));
      columnQualifier1 = Bytes.toBytes(cxt.getConfiguration().get("conf.columnqualifier1"));
    }
    @Override 
    protected void cleanup(Context cxt){
      try {
        infoTable.put(list);
        infoTable.flushCommits();
        log.info("ParseListPutDriver cleanup ,current time :"+new Date());
      } catch (IOException e) {
        log.error("infoTable flush commits error:\n"+e.getMessage());
      }
    }
    @Override 
    public void map(ImmutableBytesWritable row,Result columns,Context cxt){
      cxt.getCounter(Counters.ROWS).increment(1);
      String value =null ;
      try{
        Put put = new Put(row.get());
        for(KeyValue kv : columns.list()){
          cxt.getCounter(Counters.COLS).increment(1);
          value= Bytes.toStringBinary(kv.getValue());
          if(equals(columnQualifier,kv.getQualifier())){  // 过滤column
            put.add(columnFamily,columnQualifier1,kv.getValue());
            list.add(put);
          }
        }
      }catch(Exception e){
        log.info("Error:"+e.getMessage()+",Row:"+Bytes.toStringBinary(row.get())+
            ",Value:"+value);
        cxt.getCounter(Counters.ERROR).increment(1);
      }
    }
    private boolean equals(byte[] a,byte[] b){
      String aStr= Bytes.toString(a);
      String bStr= Bytes.toString(b);
      if(aStr.equals(bStr)){
        return true;
      }
      return false;
    }
  }
  public static void main(String[] args) throws IOException, InterruptedException, ClassNotFoundException {
    String input ="testtable";
    byte[] columnFamily = Bytes.toBytes("fam");
    byte[] columnQualifier = Bytes.toBytes("data");
    byte[] columnQualifier1 = Bytes.toBytes("data2");
    Scan scan = new Scan ();
    scan.addColumn(columnFamily, columnQualifier);
    HadoopUtils.initialConf("hbase");
    Configuration conf = HadoopUtils.getConf();
    conf.set("conf.columnfamily", Bytes.toStringBinary(columnFamily));
    conf.set("conf.columnqualifier", Bytes.toStringBinary(columnQualifier));
    conf.set("conf.columnqualifier1", Bytes.toStringBinary(columnQualifier1));
    conf.set("conf.infotable", input);
    
    Job job = new Job(conf,"Parse data in "+input+",into tables");
    job.setJarByClass(ParseListPutDriver.class);
    TableMapReduceUtil.initTableMapperJob(input, scan, ParseMapper.class, 
        ImmutableBytesWritable.class, Put.class,job);	
    job.setOutputFormatClass(NullOutputFormat.class);
    job.setNumReduceTasks(0);
    System.exit(job.waitForCompletion(true)?0:1);
  }

}
数据记录条数为：26632，可以看到下面图片中的时间记录对比：

HBase 5种写入数据方式

HBase 5种写入数据方式

由于结合了hbase，所以需要在hadoop_home/lib目录下面加些额外的包，其整个包如下：

HBase 5种写入数据方式

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