MapReduce程序复制HBase表数据 通用MapReduce程序复制HBase表数据

create 'test2',{NAME => 'cf1',VERSIONS => 10}  // 保存无版本、无列导入设置、无列导出设置的数据
create 'test3',{NAME => 'cf1',VERSIONS => 10}  // 保存无版本、无列导入设置、有列导出设置的数据
create 'test4',{NAME => 'cf1',VERSIONS => 10}  // 保存无版本、有列导入设置、无列导出设置的数据
create 'test5',{NAME => 'cf1',VERSIONS => 10}  // 保存有版本、无列导入设置、无列导出设置的数据
create 'test6',{NAME => 'cf1',VERSIONS => 10}  // 保存有版本、无列导入设置、有列导出设置的数据
create 'test7',{NAME => 'cf1',VERSIONS => 10}  // 保存有版本、有列导入设置、无列导出设置的数据
create 'test8',{NAME => 'cf1',VERSIONS => 10}  // 保存有版本、有列导入设置、有列导出设置的数据

package GeneralHBaseToHBase;
import org.apache.hadoop.util.ToolRunner;
public class DriverTest {
 public static void main(String[] args) throws Exception {
 // 无版本设置、无列导入设置，无列导出设置
 String[] myArgs1= new String[]{
 "test1", // 输入表
 "test2", // 输出表
 "0",  // 版本大小数，如果值为0，则为默认从输入表导出最新的数据到输出表
 "-1", // 列导入设置，如果为-1 ，则没有设置列导入
 "-1" // 列导出设置，如果为-1，则没有设置列导出
 }; 
 ToolRunner.run(HBaseDriver.getConfiguration(), 
 new HBaseDriver(),
 myArgs1);
 // 无版本设置、有列导入设置，无列导出设置
 String[] myArgs2= new String[]{
 "test1",
 "test3",
 "0",
 "cf1:c1,cf1:c2,cf1:c10,cf1:c11,cf1:c14",
 "-1"
 };
 ToolRunner.run(HBaseDriver.getConfiguration(), 
 new HBaseDriver(),
 myArgs2);
 // 无版本设置，无列导入设置，有列导出设置
 String[] myArgs3= new String[]{
 "test1",
 "test4",
 "0",
 "-1",
 "cf1:c1,cf1:c10,cf1:c14"
 };
 ToolRunner.run(HBaseDriver.getConfiguration(), 
 new HBaseDriver(),
 myArgs3);
 // 有版本设置，无列导入设置，无列导出设置
 String[] myArgs4= new String[]{
 "test1",
 "test5",
 "2",
 "-1",
 "-1"
 };
 ToolRunner.run(HBaseDriver.getConfiguration(), 
 new HBaseDriver(),
 myArgs4);
 // 有版本设置、有列导入设置，无列导出设置
 String[] myArgs5= new String[]{
 "test1",
 "test6",
 "2",
 "cf1:c1,cf1:c2,cf1:c10,cf1:c11,cf1:c14",
 "-1"
 };
 ToolRunner.run(HBaseDriver.getConfiguration(), 
 new HBaseDriver(),
 myArgs5);
 
 // 有版本设置、无列导入设置，有列导出设置
 String[] myArgs6= new String[]{
 "test1",
 "test7",
 "2",
 "-1",
 "cf1:c1,cf1:c10,cf1:c14"
 };
 ToolRunner.run(HBaseDriver.getConfiguration(), 
 new HBaseDriver(),
 myArgs6);
 // 有版本设置、有列导入设置，有列导出设置
 String[] myArgs7= new String[]{
 "test1",
 "test8",
 "2",
 "cf1:c1,cf1:c2,cf1:c10,cf1:c11,cf1:c14",
 "cf1:c1,cf1:c10,cf1:c14"
 };
 ToolRunner.run(HBaseDriver.getConfiguration(), 
 new HBaseDriver(),
 myArgs7);
 }
 
}

package GeneralHBaseToHBase;
import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.conf.Configured;
import org.apache.hadoop.hbase.client.Put;
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.mapreduce.Job;
import org.apache.hadoop.util.Tool;
import util.JarUtil;
 
 
public class HBaseDriver extends Configured implements Tool{
 public static String FROMTABLE=""; //导入表
 public static String TOTABLE=""; //导出表
 public static String SETVERSION=""; //是否设置版本
 // args => {FromTable,ToTable,SetVersion,ColumnFromTable,ColumnToTable}
 @Override
 public int run(String[] args) throws Exception {
 if(args.length!=5){
 System.err.println("Usage:\n demo.job.HBaseDriver <input> <inputTable> "
  + "<output> <outputTable>"
  +"< versions >"
  + " <set columns from inputTable> like <cf1:c1,cf1:c2,cf1:c10,cf1:c11,cf1:c14> or <-1> "
  + "<set columns from outputTable> like <cf1:c1,cf1:c10,cf1:c14> or <-1>");
 return -1;
 }
 Configuration conf = getConf();
 FROMTABLE = args[0];
 TOTABLE = args[1];
 SETVERSION = args[2];
 conf.set("SETVERSION", SETVERSION);
 if(!args[3].equals("-1")){
 conf.set("COLUMNFROMTABLE", args[3]);
 }
 if(!args[4].equals("-1")){
 conf.set("COLUMNTOTABLE", args[4]);
 }
 String jobName ="From table "+FROMTABLE+ " ,Import to "+ TOTABLE;
 Job job = Job.getInstance(conf, jobName);
 job.setJarByClass(HBaseDriver.class);
 Scan scan = new Scan();
 // 判断是否需要设置版本
 if(SETVERSION != "0" || SETVERSION != "1"){
 scan.setMaxVersions(Integer.parseInt(SETVERSION));
 }
 // 设置HBase表输入：表名、scan、Mapper类、mapper输出键类型、mapper输出值类型
 TableMapReduceUtil.initTableMapperJob(
 FROMTABLE, 
 scan, 
 HBaseToHBaseMapper.class, 
 ImmutableBytesWritable.class, 
 Put.class, 
 job);
 // 设置HBase表输出：表名，reducer类
 TableMapReduceUtil.initTableReducerJob(TOTABLE, null, job);
 // 没有 reducers， 直接写入到 输出文件
  job.setNumReduceTasks(0);
 
  return job.waitForCompletion(true) ? 0 : 1;
  
 }
 private static Configuration configuration;
 public static Configuration getConfiguration(){
 if(configuration==null){
 /**
 * TODO 了解如何直接从Windows提交代码到Hadoop集群
 *  并修改其中的配置为实际配置
 */
 configuration = new Configuration();
 configuration.setBoolean("mapreduce.app-submission.cross-platform", true);// 配置使用跨平台提交任务
 configuration.set("fs.defaultFS", "hdfs://master:8020");// 指定namenode
 configuration.set("mapreduce.framework.name", "yarn"); // 指定使用yarn框架
 configuration.set("yarn.resourcemanager.address", "master:8032"); // 指定resourcemanager
 configuration.set("yarn.resourcemanager.scheduler.address", "master:8030");// 指定资源分配器
 configuration.set("mapreduce.jobhistory.address", "master:10020");// 指定historyserver
 configuration.set("hbase.master", "master:16000");
 configuration.set("hbase.rootdir", "hdfs://master:8020/hbase");
 configuration.set("hbase.zookeeper.quorum", "slave1,slave2,slave3");
 configuration.set("hbase.zookeeper.property.clientPort", "2181");
 //TODO 需export->jar file ; 设置正确的jar包所在位置
 configuration.set("mapreduce.job.jar",JarUtil.jar(HBaseDriver.class));// 设置jar包路径
 }
 
 return configuration;
 }
 
 
}

package GeneralHBaseToHBase;
import java.io.IOException;
import java.util.ArrayList;
import java.util.HashMap;
import java.util.HashSet;
import java.util.Map.Entry;
import java.util.NavigableMap;
import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.hbase.Cell;
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.io.ImmutableBytesWritable;
import org.apache.hadoop.hbase.mapreduce.TableMapper;
import org.apache.hadoop.hbase.util.Bytes;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
public class HBaseToHBaseMapper extends TableMapper<ImmutableBytesWritable, Put> {
 Logger log = LoggerFactory.getLogger(HBaseToHBaseMapper.class);
 private static int versionNum = 0;
 private static String[] columnFromTable = null;
 private static String[] columnToTable = null;
 private static String column1 = null;
 private static String column2 = null;
 @Override
 protected void setup(Context context)
 throws IOException, InterruptedException {
 Configuration conf = context.getConfiguration();
 versionNum = Integer.parseInt(conf.get("SETVERSION", "0"));
 column1 = conf.get("COLUMNFROMTABLE",null);
 if(!(column1 == null)){
 columnFromTable = column1.split(",");
 }
 column2 = conf.get("COLUMNTOTABLE",null); 
 if(!(column2 == null)){
 columnToTable = column2.split(",");
 }
 }
 @Override
 protected void map(ImmutableBytesWritable key, Result value,
 Context context)
 throws IOException, InterruptedException {
 context.write(key, resultToPut(key,value));
 } 
 /***
 * 把key，value转换为Put
 * @param key
 * @param value
 * @return
 * @throws IOException
 */
 private Put resultToPut(ImmutableBytesWritable key, Result value) throws IOException {
 HashMap<String, String> fTableMap = new HashMap<>();
 HashMap<String, String> tTableMap = new HashMap<>();
 Put put = new Put(key.get());
 if(! (columnFromTable == null || columnFromTable.length == 0)){
 fTableMap = getFamilyAndColumn(columnFromTable);
 }
 if(! (columnToTable == null || columnToTable.length == 0)){
 tTableMap = getFamilyAndColumn(columnToTable);
 }
 if(versionNum==0){      
 if(fTableMap.size() == 0){   
 if(tTableMap.size() == 0){ 
  for (Cell kv : value.rawCells()) {
  put.add(kv); // 没有设置版本，没有设置列导入，没有设置列导出
  }
  return put;
 } else{
  return getPut(put, value, tTableMap); // 无版本、无列导入、有列导出
 }
 } else {
 if(tTableMap.size() == 0){
  return getPut(put, value, fTableMap);// 无版本、有列导入、无列导出
 } else {
  return getPut(put, value, tTableMap);// 无版本、有列导入、有列导出
 }
 }
 } else{
 if(fTableMap.size() == 0){
 if(tTableMap.size() == 0){
  return getPut1(put, value); // 有版本，无列导入，无列导出
 }else{
  return getPut2(put, value, tTableMap); //有版本，无列导入，有列导出
 }
 }else{
 if(tTableMap.size() == 0){
  return getPut2(put,value,fTableMap);// 有版本，有列导入，无列导出
 }else{
  return getPut2(put,value,tTableMap); // 有版本，有列导入，有列导出
 }
 }
 }
 }
 /***
 * 无版本设置的情况下，对于有列导入或者列导出
 * @param put
 * @param value
 * @param tableMap
 * @return
 * @throws IOException
 */
 
 private Put getPut(Put put,Result value,HashMap<String, String> tableMap) throws IOException{
 for(Cell kv : value.rawCells()){
 byte[] family = kv.getFamily();
 if(tableMap.containsKey(new String(family))){
 String columnStr = tableMap.get(new String(family));
 ArrayList<String> columnBy = toByte(columnStr);
 if(columnBy.contains(new String(kv.getQualifier()))){
  put.add(kv); //没有设置版本，没有设置列导入，有设置列导出
 }
 }
 }
 return put;
 }
 /***
 * (有版本，无列导入，有列导出)或者(有版本，有列导入，无列导出)
 * @param put
 * @param value
 * @param tTableMap
 * @return
 */
 private Put getPut2(Put put,Result value,HashMap<String, String> tableMap){
 NavigableMap<byte[], NavigableMap<byte[], NavigableMap<Long, byte[]>>> map=value.getMap();
  for(byte[] family:map.keySet()){
   if(tableMap.containsKey(new String(family))){
   String columnStr = tableMap.get(new String(family));
   log.info("@@@@@@@@@@@"+new String(family)+" "+columnStr);
 ArrayList<String> columnBy = toByte(columnStr);
   NavigableMap<byte[], NavigableMap<Long, byte[]>> familyMap = map.get(family);//列簇作为key获取其中的列相关数据
    for(byte[] column:familyMap.keySet()){        //根据列名循坏
     log.info("!!!!!!!!!!!"+new String(column));
     if(columnBy.contains(new String(column))){
     NavigableMap<Long, byte[]> valuesMap = familyMap.get(column);
      for(Entry<Long, byte[]> s:valuesMap.entrySet()){//获取列对应的不同版本数据，默认最新的一个
      System.out.println("***:"+new String(family)+" "+new String(column)+" "+s.getKey()+" "+new String(s.getValue()));
      put.addColumn(family, column, s.getKey(),s.getValue());
      }
     }
    }
   }
   
  }
 return put; 
 }
 /***
 * 有版本、无列导入、无列导出
 * @param put
 * @param value
 * @return
 */
 private Put getPut1(Put put,Result value){
 NavigableMap<byte[], NavigableMap<byte[], NavigableMap<Long, byte[]>>> map=value.getMap();
  for(byte[] family:map.keySet()){ 
   NavigableMap<byte[], NavigableMap<Long, byte[]>> familyMap = map.get(family);//列簇作为key获取其中的列相关数据
   for(byte[] column:familyMap.keySet()){        //根据列名循坏
    NavigableMap<Long, byte[]> valuesMap = familyMap.get(column);
    for(Entry<Long, byte[]> s:valuesMap.entrySet()){    //获取列对应的不同版本数据，默认最新的一个
     put.addColumn(family, column, s.getKey(),s.getValue());
    }
   }
  }
  return put;
 }
 // str => {"cf1:c1","cf1:c2","cf1:c10","cf1:c11","cf1:c14"}
 /***
 * 得到列簇名与列名的k,v形式的map
 * @param str => {"cf1:c1","cf1:c2","cf1:c10","cf1:c11","cf1:c14"}
 * @return map => {"cf1" => "c1,c2,c10,c11,c14"}
 */
 private static HashMap<String, String> getFamilyAndColumn(String[] str){
 HashMap<String, String> map = new HashMap<>();
 HashSet<String> set = new HashSet<>();
 for(String s : str){
 set.add(s.split(":")[0]);
 }
 Object[] ob = set.toArray();
 for(int i=0; i<ob.length;i++){
 String family = String.valueOf(ob[i]);
 String columns = "";
 for(int j=0;j < str.length;j++){
 if(family.equals(str[j].split(":")[0])){
  columns += str[j].split(":")[1]+",";
 }
 }
 map.put(family, columns.substring(0, columns.length()-1));
 }
 return map; 
 }
 
 private static ArrayList<String> toByte(String s){
 ArrayList<String> b = new ArrayList<>();
 String[] sarr = s.split(",");
 for(int i=0;i<sarr.length;i++){
 b.add(sarr[i]);
 }
 return b;
 }
}