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List for (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 + " NULL"); }else{ System.out.println( id + " " + 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 + " NULL ").getBytes()); }else{ os.write( (id + " " + value + " ").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(" " + 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 split if( 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> " + "-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 args for (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 file String 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 filter if( 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 content while (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" + " "); }else{ if( tmp.contains("guangtaobao") ){ outstr.append("1" + " "); }else{ outstr.append(tmp.trim() + " "); } } } 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() */ @Override public 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) */ @Override public 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]); } }