Hbase采用Java实现，原生客户端也是Java实现，其他语言需要通过thritf接口服务间接访问Hbase的数据。
Hbase作为大数据存储数据库，其写能力非常强，加上Hbase本身就脱胎于Hadoop故和Hadoop的兼容性极好，非常适合于存储半规则数据(灵活、可扩展性强、大数据存储)。基于Hadoop的mapreduce + Hbase存储，非常适合处理大数据。
Hbase基本使用示例：
import java.io.IOException; import java.util.ArrayList; import java.util.List; import org.apache.hadoop.conf.Configuration; import org.apache.hadoop.hbase.HBaseConfiguration; import org.apache.hadoop.hbase.HColumnDescriptor; import org.apache.hadoop.hbase.HTableDescriptor; import org.apache.hadoop.hbase.KeyValue; import org.apache.hadoop.hbase.MasterNotRunningException; import org.apache.hadoop.hbase.ZooKeeperConnectionException; import org.apache.hadoop.hbase.client.Delete; import org.apache.hadoop.hbase.client.Get; import org.apache.hadoop.hbase.client.HBaseAdmin; import org.apache.hadoop.hbase.client.HTable; import org.apache.hadoop.hbase.client.HTablePool; import org.apache.hadoop.hbase.client.Put; import org.apache.hadoop.hbase.client.Result; import org.apache.hadoop.hbase.client.ResultScanner; import org.apache.hadoop.hbase.client.Scan; import org.apache.hadoop.hbase.filter.Filter; import org.apache.hadoop.hbase.filter.FilterList; import org.apache.hadoop.hbase.filter.SingleColumnValueFilter; import org.apache.hadoop.hbase.filter.CompareFilter.CompareOp; import org.apache.hadoop.hbase.util.Bytes; public class HbaseTest { public static Configuration configuration; static { configuration = HBaseConfiguration.create(); configuration.set("hbase.zookeeper.property.clientPort", "2181"); configuration.set("hbase.zookeeper.quorum", "192.168.1.100"); configuration.set("hbase.master", "192.168.1.100:600000"); } public static void main(String[] args) { // createTable("wujintao"); // insertData("wujintao"); // QueryAll("wujintao"); // QueryByCondition1("wujintao"); // QueryByCondition2("wujintao"); //QueryByCondition3("wujintao"); //deleteRow("wujintao","abcdef"); deleteByCondition("wujintao","abcdef"); } public static void createTable(String tableName) { System.out.println("start create table ......"); try { HBaseAdmin hBaseAdmin = new HBaseAdmin(configuration); if (hBaseAdmin.tableExists(tableName)) {// 如果存在要创建的表，那么先删除，再创建 hBaseAdmin.disableTable(tableName); hBaseAdmin.deleteTable(tableName); System.out.println(tableName + " is exist,detele...."); } HTableDescriptor tableDescriptor = new HTableDescriptor(tableName); tableDescriptor.addFamily(new HColumnDescriptor("column1")); tableDescriptor.addFamily(new HColumnDescriptor("column2")); tableDescriptor.addFamily(new HColumnDescriptor("column3")); hBaseAdmin.createTable(tableDescriptor); } catch (MasterNotRunningException e) { e.printStackTrace(); } catch (ZooKeeperConnectionException e) { e.printStackTrace(); } catch (IOException e) { e.printStackTrace(); } System.out.println("end create table ......"); } public static void insertData(String tableName) { System.out.println("start insert data ......"); HTablePool pool = new HTablePool(configuration, 1000); HTable table = (HTable) pool.getTable(tableName); Put put = new Put("112233bbbcccc".getBytes());// 一个PUT代表一行数据，再NEW一个PUT表示第二行数据,每行一个唯一的ROWKEY，此处rowkey为put构造方法中传入的值 put.add("column1".getBytes(), null, "aaa".getBytes());// 本行数据的第一列 put.add("column2".getBytes(), null, "bbb".getBytes());// 本行数据的第三列 put.add("column3".getBytes(), null, "ccc".getBytes());// 本行数据的第三列 try { table.put(put); } catch (IOException e) { e.printStackTrace(); } System.out.println("end insert data ......"); } public static void dropTable(String tableName) { try { HBaseAdmin admin = new HBaseAdmin(configuration); admin.disableTable(tableName); admin.deleteTable(tableName); } catch (MasterNotRunningException e) { e.printStackTrace(); } catch (ZooKeeperConnectionException e) { e.printStackTrace(); } catch (IOException e) { e.printStackTrace(); } } public static void deleteRow(String tablename, String rowkey) { try { HTable table = new HTable(configuration, tablename); List list = new ArrayList(); Delete d1 = new Delete(rowkey.getBytes()); list.add(d1); table.delete(list); System.out.println("删除行成功!"); } catch (IOException e) { e.printStackTrace(); } } public static void deleteByCondition(String tablename, String rowkey) { //目前还没有发现有效的API能够实现根据非rowkey的条件删除这个功能能，还有清空表全部数据的API操作 } public static void QueryAll(String tableName) { HTablePool pool = new HTablePool(configuration, 1000); HTable table = (HTable) pool.getTable(tableName); try { ResultScanner rs = table.getScanner(new Scan()); for (Result r : rs) { System.out.println("获得到rowkey:" + new String(r.getRow())); for (KeyValue keyValue : r.raw()) { System.out.println("列：" + new String(keyValue.getFamily()) + "====值:" + new String(keyValue.getValue())); } } } catch (IOException e) { e.printStackTrace(); } } public static void QueryByCondition1(String tableName) { HTablePool pool = new HTablePool(configuration, 1000); HTable table = (HTable) pool.getTable(tableName); try { Get scan = new Get("abcdef".getBytes());// 根据rowkey查询 Result r = table.get(scan); System.out.println("获得到rowkey:" + new String(r.getRow())); for (KeyValue keyValue : r.raw()) { System.out.println("列：" + new String(keyValue.getFamily()) + "====值:" + new String(keyValue.getValue())); } } catch (IOException e) { e.printStackTrace(); } } public static void QueryByCondition2(String tableName) { try { HTablePool pool = new HTablePool(configuration, 1000); HTable table = (HTable) pool.getTable(tableName); Filter filter = new SingleColumnValueFilter(Bytes .toBytes("column1"), null, CompareOp.EQUAL, Bytes .toBytes("aaa")); // 当列column1的值为aaa时进行查询 Scan s = new Scan(); s.setFilter(filter); ResultScanner rs = table.getScanner(s); for (Result r : rs) { System.out.println("获得到rowkey:" + new String(r.getRow())); for (KeyValue keyValue : r.raw()) { System.out.println("列：" + new String(keyValue.getFamily()) + "====值:" + new String(keyValue.getValue())); } } } catch (Exception e) { e.printStackTrace(); } } public static void QueryByCondition3(String tableName) { try { HTablePool pool = new HTablePool(configuration, 1000); HTable table = (HTable) pool.getTable(tableName); List<Filter> filters = new ArrayList<Filter>(); Filter filter1 = new SingleColumnValueFilter(Bytes .toBytes("column1"), null, CompareOp.EQUAL, Bytes .toBytes("aaa")); filters.add(filter1); Filter filter2 = new SingleColumnValueFilter(Bytes .toBytes("column2"), null, CompareOp.EQUAL, Bytes .toBytes("bbb")); filters.add(filter2); Filter filter3 = new SingleColumnValueFilter(Bytes .toBytes("column3"), null, CompareOp.EQUAL, Bytes .toBytes("ccc")); filters.add(filter3); FilterList filterList1 = new FilterList(filters); Scan scan = new Scan(); scan.setFilter(filterList1); ResultScanner rs = table.getScanner(scan); for (Result r : rs) { System.out.println("获得到rowkey:" + new String(r.getRow())); for (KeyValue keyValue : r.raw()) { System.out.println("列：" + new String(keyValue.getFamily()) + "====值:" + new String(keyValue.getValue())); } } rs.close(); } catch (Exception e) { e.printStackTrace(); } } }
Hbase数据获取示例：
/** Need Packages:* commons-codec-1.4.jar** commons-logging-1.1.1.jar** hadoop-0.20.2-core.jar** hbase-0.90.2.jar** log4j-1.2.16.jar** zookeeper-3.3.2.jar**/import java.io.IOException; import java.util.ArrayList; import java.util.List; import org.apache.hadoop.conf.Configuration; import org.apache.hadoop.hbase.HBaseConfiguration; import org.apache.hadoop.hbase.KeyValue; import org.apache.hadoop.hbase.client.Get; import org.apache.hadoop.hbase.client.HTable; import org.apache.hadoop.hbase.client.Result; import org.apache.hadoop.hbase.client.ResultScanner; import org.apache.hadoop.hbase.client.Scan; import org.apache.hadoop.hbase.filter.CompareFilter.CompareOp; import org.apache.hadoop.hbase.filter.FilterList; import org.apache.hadoop.hbase.filter.SingleColumnValueFilter; import org.apache.hadoop.hbase.util.Bytes;public class HbaseSelecter {public static Configuration configuration = null;static{configuration = HBaseConfiguration.create();//configuration.set("hbase.master", "192.168.0.201:60000");configuration.set("hbase.zookeeper.quorum", "idc01-hd-nd-03,idc01-hd-nd-04,idc01-hd-nd-05");//configuration.set("hbase.zookeeper.property.clientPort", "2181"); }public static void selectRowKey(String tablename, String rowKey) throws IOException{HTable table = new HTable(configuration, tablename);Get g = new Get(rowKey.getBytes());Result rs = table.get(g);for (KeyValue kv : rs.raw()){System.out.println("--------------------" + new String(kv.getRow()) + "----------------------------");System.out.println("Column Family: " + new String(kv.getFamily()));System.out.println("Column :" + new String(kv.getQualifier()));System.out.println("value : " + new String(kv.getValue()));}}public static void selectRowKeyFamily(String tablename, String rowKey, String family) throws IOException{HTable table = new HTable(configuration, tablename);Get g = new Get(rowKey.getBytes());g.addFamily(Bytes.toBytes(family));Result rs = table.get(g);for (KeyValue kv : rs.raw()){System.out.println("--------------------" + new String(kv.getRow()) + "----------------------------");System.out.println("Column Family: " + new String(kv.getFamily()));System.out.println("Column :" + new String(kv.getQualifier()));System.out.println("value : " + new String(kv.getValue()));}}public static void selectRowKeyFamilyColumn(String tablename, String rowKey, String family, String column)throws IOException{HTable table = new HTable(configuration, tablename);Get g = new Get(rowKey.getBytes());g.addColumn(family.getBytes(), column.getBytes());Result rs = table.get(g);for (KeyValue kv : rs.raw()){System.out.println("--------------------" + new String(kv.getRow()) + "----------------------------");System.out.println("Column Family: " + new String(kv.getFamily()));System.out.println("Column :" + new String(kv.getQualifier()));System.out.println("value : " + new String(kv.getValue()));}}public static void selectFilter(String tablename, List<String> arr) throws IOException{HTable table = new HTable(configuration, tablename);Scan scan = new Scan();// 实例化一个遍历器FilterList filterList = new FilterList(); // 过滤器Listfor (String v : arr){ // 下标0为列簇，1为列名，3为条件String[] wheres = v.split(",");filterList.addFilter(new SingleColumnValueFilter(// 过滤器wheres[0].getBytes(), wheres[1].getBytes(),CompareOp.EQUAL,// 各个条件之间是" and "的关系wheres[2].getBytes()));}scan.setFilter(filterList);ResultScanner ResultScannerFilterList = table.getScanner(scan);for (Result rs = ResultScannerFilterList.next(); rs != null; rs = ResultScannerFilterList.next()){for (KeyValue kv : rs.list()){System.out.println("--------------------" + new String(kv.getRow()) + "----------------------------");System.out.println("Column Family: " + new String(kv.getFamily()));System.out.println("Column :" + new String(kv.getQualifier()));System.out.println("value : " + new String(kv.getValue()));}}}public static void main(String[] args) throws Exception{if(args.length < 2){System.out.println("Usage: HbaseSelecter table key");System.exit(-1);}System.out.println("Table: " + args[0] + " , key: " + args[1]);selectRowKey(args[0], args[1]);/*System.out.println("------------------------行键 查询----------------------------------");selectRowKey("b2c", "yihaodian1002865");selectRowKey("b2c", "yihaodian1003396");System.out.println("------------------------行键+列簇 查询----------------------------------");selectRowKeyFamily("riapguh", "用户A", "user");selectRowKeyFamily("riapguh", "用户B", "user");System.out.println("------------------------行键+列簇+列名 查询----------------------------------");selectRowKeyFamilyColumn("riapguh", "用户A", "user", "user_code");selectRowKeyFamilyColumn("riapguh", "用户B", "user", "user_code");System.out.println("------------------------条件 查询----------------------------------");List<String> arr = new ArrayList<String>();arr.add("dpt,dpt_code,d_001");arr.add("user,user_code,u_0001");selectFilter("riapguh", arr);*/} }
Hbase 导出特定列 示例(小量数据):
/** Need Packages:* commons-codec-1.4.jar** commons-logging-1.1.1.jar** hadoop-0.20.2-core.jar** hbase-0.90.2.jar** log4j-1.2.16.jar** zookeeper-3.3.2.jar** Example: javac -classpath ./:/data/chenzhenjing/code/panama/lib/hbase-0.90.2.jar:/data/chenzhenjing/code/panama/lib/hadoop-core-0.20-append-for-hbase.jar:/data/chenzhenjing/code/panama/lib/commons-logging-1.0.4.jar:/data/chenzhenjing/code/panama/lib/commons-lang-2.4.jar:/data/chenzhenjing/code/panama/lib/commons-io-1.2.jar:/data/chenzhenjing/code/panama/lib/zookeeper-3.3.2.jar:/data/chenzhenjing/code/panama/lib/log4j-1.2.15.jar:/data/chenzhenjing/code/panama/lib/commons-codec-1.3.jar DiffHbase.java */import java.io.BufferedReader; import java.io.File; import java.io.IOException; import java.io.FileInputStream; import java.io.InputStreamReader; import java.io.FileOutputStream; import java.io.OutputStreamWriter; import java.io.StringReader; import java.text.SimpleDateFormat; import java.util.Date;import java.io.IOException; import java.util.ArrayList; import java.util.List; import org.apache.hadoop.conf.Configuration; import org.apache.hadoop.hbase.HBaseConfiguration; import org.apache.hadoop.hbase.KeyValue; import org.apache.hadoop.hbase.client.Get; import org.apache.hadoop.hbase.client.HTable; import org.apache.hadoop.hbase.client.Result; import org.apache.hadoop.hbase.client.ResultScanner; import org.apache.hadoop.hbase.client.Scan; import org.apache.hadoop.hbase.filter.CompareFilter.CompareOp; import org.apache.hadoop.hbase.filter.FilterList; import org.apache.hadoop.hbase.filter.SingleColumnValueFilter; import org.apache.hadoop.hbase.util.Bytes;class ColumnUtils {public static byte[] getFamily(String column){return getBytes(column, 0);}public static byte[] getQualifier(String column){return getBytes(column, 1);}private static byte[] getBytes(String column , int offset){String[] split = column.split(":");return Bytes.toBytes(offset > split.length -1 ? split[0] :split[offset]);} }public class DiffHbase {public static Configuration configuration = null;static{configuration = HBaseConfiguration.create();configuration.set("hbase.zookeeper.quorum", "idc01-hd-ds-01,idc01-hd-ds-02,idc01-hd-ds-03");}public static void selectRowKey(String tablename, String rowKey) throws IOException{HTable table = new HTable(configuration, tablename);Get g = new Get(rowKey.getBytes());Result rs = table.get(g);for (KeyValue kv : rs.raw()){System.out.println("--------------------" + new String(kv.getRow()) + "----------------------------");System.out.println("Column Family: " + new String(kv.getFamily()));System.out.println("Column :" + new String(kv.getQualifier()) + "t");System.out.println("value : " + new String(kv.getValue()));}}public static void selectRowKeyFamily(String tablename, String rowKey, String family) throws IOException{HTable table = new HTable(configuration, tablename);Get g = new Get(rowKey.getBytes());g.addFamily(Bytes.toBytes(family));Result rs = table.get(g);for (KeyValue kv : rs.raw()){System.out.println("--------------------" + new String(kv.getRow()) + "----------------------------");System.out.println("Column Family: " + new String(kv.getFamily()));System.out.println("Column :" + new String(kv.getQualifier()) + "t");System.out.println("value : " + new String(kv.getValue()));}}public static void selectRowKeyFamilyColumn(String tablename, String rowKey, String family, String column)throws IOException{HTable table = new HTable(configuration, tablename);Get g = new Get(rowKey.getBytes());g.addColumn(family.getBytes(), column.getBytes());Result rs = table.get(g);for (KeyValue kv : rs.raw()){System.out.println("--------------------" + new String(kv.getRow()) + "----------------------------");System.out.println("Column Family: " + new String(kv.getFamily()));System.out.println("Column :" + new String(kv.getQualifier()) + "t");System.out.println("value : " + new String(kv.getValue()));}}private static final String USAGE = "Usage: DiffHbase [-o outfile] tablename infile filterColumns...";/*** Prints the usage message and exists the program.* * @param message The message to print first.*/private static void printUsage(String message) {System.err.println(message);System.err.println(USAGE);throw new RuntimeException(USAGE);}private static void PrintId(String id, Result rs){String value = Bytes.toString( rs.getValue(ColumnUtils.getFamily("info:url"), ColumnUtils.getQualifier("info:url")));if(value == null){System.out.println( id + "\tNULL");}else{System.out.println( id + "\t" + value);}}private static void WriteId(String id, Result rs, FileOutputStream os){String value = Bytes.toString( rs.getValue(ColumnUtils.getFamily("info:url"), ColumnUtils.getQualifier("info:url")));try{if(value == null){os.write( (id + "\tNULL\n").getBytes());}else{os.write( (id + "\t" + value + "\n").getBytes());}}catch (IOException e) {e.printStackTrace();}}private static void PrintRow(String id, Result rs){System.out.println("--------------------" + id + "----------------------------");for (KeyValue kv : rs.raw()){System.out.println(new String(kv.getFamily()) + ":" + new String(kv.getQualifier()) + " : " + new String(kv.getValue()));}}public static void main(String[] args) throws Exception{ if (args.length < 3) {printUsage("Too few arguments");}String outfile = null;String tablename = args[0];String dictfile = args[1];int skilLen = 2;if( args[0].equals("-o")){outfile = args[1];tablename = args[2];dictfile = args[3];skilLen = 4;}HTable table = new HTable(configuration, tablename);String[] filterColumns = new String[args.length - skilLen];System.arraycopy(args, skilLen, filterColumns, 0, args.length - skilLen);System.out.println("filterColumns: ");for(int i=0; i<filterColumns.length; ++i){System.out.println("\t" + filterColumns[i]);}FileOutputStream os = null;if(outfile != null){os = new FileOutputStream(outfile);}int count = 0;SimpleDateFormat df = new SimpleDateFormat("yyyy-MM-dd HH:mm:ss");//设置日期格式 File srcFile = new File(dictfile);FileInputStream in = new FileInputStream(srcFile);InputStreamReader isr = new InputStreamReader(in);BufferedReader br = new BufferedReader(isr);String read = null;while ((read = br.readLine()) != null) {String[] split = read.trim().split("\\s"); // space splitif( split.length < 1 ){System.out.println("Error line: " + read);continue;}if( ++count % 1000 == 0){System.out.println(df.format(new Date()) + " : " + count + " rows processed." ); // new Date()为获取当前系统时间 }// System.out.println("ROWKEY:" + split[0]); Get g = new Get(split[0].getBytes());Result rs = table.get(g);if( rs == null){System.out.println("No Result for " + split[0]);continue;}for(int i=0; i<filterColumns.length; ++i){String value = Bytes.toString(rs.getValue(ColumnUtils.getFamily(filterColumns[i]), ColumnUtils.getQualifier(filterColumns[i])));if(value == null){if( os == null){PrintId(split[0], rs);}else{WriteId(split[0], rs, os);}// PrintRow(split[0], rs);break;}}}br.close();isr.close();in.close();} }
Hbase Mapreduce示例：全库扫描(大量数据)：
package com.hbase.mapreduce;import java.io.File; import java.io.FileInputStream; import java.io.IOException; import java.util.ArrayList; import java.util.List;import org.apache.hadoop.io.Text; import org.apache.hadoop.conf.Configuration; import org.apache.hadoop.fs.Path; import org.apache.hadoop.hbase.HBaseConfiguration; import org.apache.hadoop.hbase.HConstants; import org.apache.hadoop.hbase.client.Scan; import org.apache.hadoop.hbase.mapreduce.IdentityTableMapper; import org.apache.hadoop.hbase.mapreduce.TableMapReduceUtil; import org.apache.hadoop.hbase.io.ImmutableBytesWritable; import org.apache.hadoop.mapreduce.Job; import org.apache.hadoop.mapreduce.lib.output.FileOutputFormat; import org.apache.hadoop.mapred.JobConf; import org.apache.hadoop.util.GenericOptionsParser;import org.apache.hadoop.hbase.filter.SingleColumnValueFilter; import org.apache.hadoop.hbase.filter.CompareFilter; import org.apache.hadoop.hbase.filter.CompareFilter.CompareOp; import org.apache.hadoop.hbase.filter.BinaryComparator; import org.apache.hadoop.hbase.util.Bytes; import com.goodhope.utils.ColumnUtils;public class ExportHbase {private static final String INFOCATEGORY = "info:storecategory";private static final String USAGE = "Usage: ExportHbase " +"-r <numReduceTasks> -indexConf <iconfFile>\n" +"-indexDir <indexDir> -webSite <amazon> [-needupdate <true> -isVisible -startTime <long>] -table <tableName> -columns <columnName1> " +"[<columnName2> ...]";/*** Prints the usage message and exists the program.* * @param message The message to print first.*/private static void printUsage(String message) {System.err.println(message);System.err.println(USAGE);throw new RuntimeException(USAGE);}/*** Creates a new job.* @param conf * * @param args The command line arguments.* @throws IOException When reading the configuration fails.*/public static Job createSubmittableJob(Configuration conf, String[] args) throws IOException {if (args.length < 7) {printUsage("Too few arguments");}int numReduceTasks = 1;String iconfFile = null;String indexDir = null;String tableName = null;String website = null;String needupdate = "";String expectShopGrade = "";String dino = "6";String isdebug = "0";long debugThreshold = 10000;String debugThresholdStr = Long.toString(debugThreshold);String queue = "offline";long endTime = Long.MAX_VALUE;int maxversions = 1;long startTime = System.currentTimeMillis() - 28*24*60*60*1000l;long distartTime = System.currentTimeMillis() - 30*24*60*60*1000l;long diusedTime = System.currentTimeMillis() - 30*24*60*60*1000l;String startTimeStr = Long.toString(startTime);String diusedTimeStr = Long.toString(diusedTime);String quorum = null;String isVisible = "";List<String> columns = new ArrayList<String>() ; boolean bFilter = false;// parse argsfor (int i = 0; i < args.length - 1; i++) {if ("-r".equals(args[i])) {numReduceTasks = Integer.parseInt(args[++i]);} else if ("-indexConf".equals(args[i])) {iconfFile = args[++i];} else if ("-indexDir".equals(args[i])) {indexDir = args[++i];} else if ("-table".equals(args[i])) {tableName = args[++i];} else if ("-webSite".equals(args[i])) {website = args[++i];} else if ("-startTime".equals(args[i])) {startTimeStr = args[++i];startTime = Long.parseLong(startTimeStr);} else if ("-needupdate".equals(args[i])) {needupdate = args[++i];} else if ("-isVisible".equals(args[i])) {isVisible = "true";} else if ("-shopgrade".equals(args[i])) {expectShopGrade = args[++i]; } else if ("-queue".equals(args[i])) {queue = args[++i];} else if ("-dino".equals(args[i])) {dino = args[++i];} else if ("-maxversions".equals(args[i])) {maxversions = Integer.parseInt(args[++i]);} else if ("-distartTime".equals(args[i])) {distartTime = Long.parseLong(args[++i]); } else if ("-diendTime".equals(args[i])) {endTime = Long.parseLong(args[++i]);} else if ("-diusedTime".equals(args[i])) {diusedTimeStr = args[++i];diusedTime = Long.parseLong(diusedTimeStr);} else if ("-quorum".equals(args[i])) {quorum = args[++i];} else if ("-filter".equals(args[i])) {bFilter = true;} else if ("-columns".equals(args[i])) {columns.add(args[++i]);while (i + 1 < args.length && !args[i + 1].startsWith("-")) {String columnname = args[++i];columns.add(columnname);System.out.println("args column----: " + columnname);}} else if ("-debugThreshold".equals(args[i])) {isdebug = "1";debugThresholdStr = args[++i];debugThreshold = Long.parseLong( debugThresholdStr );}else {printUsage("Unsupported option " + args[i]);}}if (distartTime > endTime) {printUsage("distartTime must <= diendTime"); }if (indexDir == null || tableName == null || columns.isEmpty()) {printUsage("Index directory, table name and at least one column must " +"be specified");}if (iconfFile != null) {// set index configuration content from a fileString content = readContent(iconfFile);conf.set("hbase.index.conf", content);conf.set("hbase.website.name", website);conf.set("hbase.needupdate.productDB", needupdate);conf.set("hbase.expect.shopgrade", expectShopGrade);conf.set("hbase.di.no", dino);conf.set("hbase.expect.item.visible", isVisible);conf.set("hbase.index.startTime", startTimeStr);conf.set("hbase.index.diusedTime", diusedTimeStr);conf.set("hbase.index.debugThreshold", debugThresholdStr);conf.set("hbase.index.debug", isdebug);if (quorum != null) {conf.set("hbase.zookeeper.quorum", quorum);}String temp = "";for (String column : columns) {temp = temp + column + "|";}temp = temp.substring(0, temp.length() - 1);conf.set("hbase.index.column", temp);System.out.println("hbase.index.column: " + temp);}Job job = new Job(conf, "export data from table " + tableName);((JobConf) job.getConfiguration()).setQueueName(queue);// number of indexes to partition into job.setNumReduceTasks(numReduceTasks);Scan scan = new Scan();scan.setCacheBlocks(false);// limit scan range scan.setTimeRange(distartTime, endTime);// scan.setMaxVersions(maxversions);scan.setMaxVersions(1);/* limit scan columns */for (String column : columns) {scan.addColumn(ColumnUtils.getFamily(column), ColumnUtils.getQualifier(column));scan.addFamily(ColumnUtils.getFamily(column));}// set filterif( bFilter ){System.out.println("only export guangtaobao data. ");SingleColumnValueFilter filter = new SingleColumnValueFilter(Bytes.toBytes("info"),Bytes.toBytes("producttype"),CompareFilter.CompareOp.EQUAL,new BinaryComparator(Bytes.toBytes("guangtaobao")) );filter.setFilterIfMissing(true);scan.setFilter(filter);}TableMapReduceUtil.initTableMapperJob(tableName, scan, ExportHbaseMapper.class,Text.class, Text.class, job);// job.setReducerClass(ExportHbaseReducer.class);FileOutputFormat.setOutputPath(job, new Path(indexDir));return job;}/*** Reads xml file of indexing configurations. The xml format is similar to* hbase-default.xml and hadoop-default.xml. For an example configuration,* see the <code>createIndexConfContent</code> method in TestTableIndex.* * @param fileName The file to read.* @return XML configuration read from file.* @throws IOException When the XML is broken.*/private static String readContent(String fileName) throws IOException {File file = new File(fileName);int length = (int) file.length();if (length == 0) {printUsage("Index configuration file " + fileName + " does not exist");}int bytesRead = 0;byte[] bytes = new byte[length];FileInputStream fis = new FileInputStream(file);try {// read entire file into contentwhile (bytesRead < length) {int read = fis.read(bytes, bytesRead, length - bytesRead);if (read > 0) {bytesRead += read;} else {break;}}} finally {fis.close();}return new String(bytes, 0, bytesRead, HConstants.UTF8_ENCODING);}/*** The main entry point.* * @param args The command line arguments.* @throws Exception When running the job fails.*/public static void main(String[] args) throws Exception {Configuration conf = HBaseConfiguration.create();String[] otherArgs = new GenericOptionsParser(conf, args).getRemainingArgs();Job job = createSubmittableJob(conf, otherArgs);System.exit(job.waitForCompletion(true) ? 0 : 1);}}// package com.hbase.mapreduce;import java.io.IOException; import java.util.List; import java.util.ArrayList; import java.lang.String; import java.lang.StringBuffer;import org.apache.hadoop.io.Text; import org.apache.hadoop.conf.Configurable; import org.apache.hadoop.conf.Configuration; import org.apache.commons.lang.StringUtils; 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.apache.hadoop.hbase.KeyValue;import com.goodhope.utils.ColumnUtils;/*** Pass the given key and record as-is to the reduce phase.*/ @SuppressWarnings("deprecation") public class ExportHbaseMapper extends TableMapper<Text,Text> implements Configurable {private static final Text keyTEXT = new Text();private static final Text SENDTEXT = new Text();private Configuration conf = null;private long startTime = 0;List<String> columnMap = null;private long rCount = 0;private long errCount = 0;private int debug = 0;private long thresCount = 10000;public void map(ImmutableBytesWritable key, Result value, Context context) throws IOException, InterruptedException {rCount++;String itemid = Bytes.toString(key.get());if (itemid.contains("&")) {context.getCounter("Error", "rowkey contains \"&\"").increment(1);return;}StringBuffer outstr = new StringBuffer();for (String col : columnMap) {String tmp = Bytes.toString(value.getValue(ColumnUtils.getFamily(col), ColumnUtils.getQualifier(col)));if (tmp == null){context.getCounter("Error", col+" No value in hbase").increment(1);errCount++;if( debug > 0 && (errCount % thresCount == 0)){System.err.println( itemid + ": doesn't has " + col + " data!");}outstr.append("NULL" + "\t");}else{if( tmp.contains("guangtaobao") ){outstr.append("1" + "\t");}else{outstr.append(tmp.trim() + "\t");}}}if ( ! outstr.toString().isEmpty() ) {SENDTEXT.set( outstr.toString() );keyTEXT.set(itemid);context.write(keyTEXT, SENDTEXT);if( debug > 0 && (rCount % thresCount*10000 == 0)){System.out.println( SENDTEXT.toString() + keyTEXT.toString() );}}else{context.getCounter("Error", "No Colume output").increment(1);return;}}/*** Returns the current configuration.* * @return The current configuration.* @see org.apache.hadoop.conf.Configurable#getConf()*/@Overridepublic Configuration getConf() {return conf;}/*** Sets the configuration. This is used to set up the index configuration.* * @param configuration* The configuration to set.* @see org.apache.hadoop.conf.Configurable#setConf(org.apache.hadoop.conf.Configuration)*/@Overridepublic void setConf(Configuration configuration) {this.conf = configuration;startTime = Long.parseLong(conf.get("hbase.index.startTime"));thresCount = Long.parseLong(conf.get("hbase.index.debugThreshold"));debug = Integer.parseInt(conf.get("hbase.index.debug"));String[] columns = conf.get("hbase.index.column").split("\\|");columnMap = new ArrayList<String>();for (String column : columns) {System.out.println("Output column: " + column);columnMap.add(column);}}}// package com.hbase.utils;import org.apache.hadoop.hbase.util.Bytes;public class ColumnUtils {public static byte[] getFamily(String column){return getBytes(column, 0);}public static byte[] getQualifier(String column){return getBytes(column, 1);}private static byte[] getBytes(String column , int offset){String[] split = column.split(":");return Bytes.toBytes(offset > split.length -1 ? split[0] :split[offset]);} }
转自zhenjing的博客
