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 + "\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 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>\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 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" + "\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()
*/
@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]);
}
} 转自zhenjing的博客