Hbase結合MapReduce的批量導入

對如下手機流量信息進行模擬導入，放置到HDFS文件系統input文件夾下

1363157985066 13726230503 00-FD-07-A4-72-B8:CMCC 120.196.100.82 i02.c.aliimg.com 24 27 2481 24681 200

1363157995052 13826544101 5C-0E-8B-C7-F1-E0:CMCC 120.197.40.4 4 0 264 0 200

1363157991076 13926435656 20-10-7A-28-CC-0A:CMCC 120.196.100.99 2 4 132 1512 200

1363154400022 13926251106 5C-0E-8B-8B-B1-50:CMCC 120.197.40.4 4 0 240 0 200

1363157993044 18211575961 94-71-AC-CD-E6-18:CMCC-EASY 120.196.100.99 iface.qiyi.com 視頻網站 15 12 1527 2106 200

1363157995074 84138413 5C-0E-8B-8C-E8-20:7DaysInn 120.197.40.4 122.72.52.12 20 16 4116 1432 200

1363157993055 13560439658 C4-17-FE-BA-DE-D9:CMCC 120.196.100.99 18 15 1116 954 200

1363157995033 15920133257 5C-0E-8B-C7-BA-20:CMCC 120.197.40.4 sug.so.360.cn 信息安全 20 20 3156 2936 200

1363157983019 13719199419 68-A1-B7-03-07-B1:CMCC-EASY 120.196.100.82 4 0 240 0 200

1363157984041 13660577991 5C-0E-8B-92-5C-20:CMCC-EASY 120.197.40.4 s19.cnzz.com 站點統計 24 9 6960 690 200

1363157973098 15013685858 5C-0E-8B-C7-F7-90:CMCC 120.197.40.4 rank.ie.sogou.com 搜索引擎 28 27 3659 3538 200

1363157986029 15989002119 E8-99-C4-4E-93-E0:CMCC-EASY 120.196.100.99 www.umeng.com 站點統計 3 3 1938 180 200

1363157992093 13560439658 C4-17-FE-BA-DE-D9:CMCC 120.196.100.99 15 9 918 4938 200

1363157986041 13480253104 5C-0E-8B-C7-FC-80:CMCC-EASY 120.197.40.4 3 3 180 180 200

1363157984040 13602846565 5C-0E-8B-8B-B6-00:CMCC 120.197.40.4 2052.flash2-http.qq.com 綜合門戶 15 12 1938 2910 200

1363157995093 13922314466 00-FD-07-A2-EC-BA:CMCC 120.196.100.82 img.qfc.cn 12 12 3008 3720 200

1363157982040 13502468823 5C-0A-5B-6A-0B-D4:CMCC-EASY 120.196.100.99 y0.ifengimg.com 綜合門戶 57 102 7335 110349 200

1363157986072 18320173382 84-25-DB-4F-10-1A:CMCC-EASY 120.196.100.99 input.shouji.sogou.com 搜索引擎 21 18 9531 2412 200

1363157990043 13925057413 00-1F-64-E1-E6-9A:CMCC 120.196.100.55 t3.baidu.com 搜索引擎 69 63 11058 48243 200

1363157988072 13760778710 00-FD-07-A4-7B-08:CMCC 120.196.100.82 2 2 120 120 200

1363157985079 13823070001 20-7C-8F-70-68-1F:CMCC 120.196.100.99 6 3 360 180 200

1363157985069 13600217502 00-1F-64-E2-E8-B1:CMCC 120.196.100.55 18 138 1080 186852 200

01	package Hbase;

02

03	import java.io.IOException;

04	import java.text.SimpleDateFormat;

05	import java.util.Date;

06

07	import org.apache.hadoop.conf.Configuration;

08	import org.apache.hadoop.hbase.client.Put;

09	import org.apache.hadoop.hbase.mapreduce.TableOutputFormat;

10	import org.apache.hadoop.hbase.mapreduce.TableReducer;

11	import org.apache.hadoop.hbase.util.Bytes;

12	import org.apache.hadoop.io.LongWritable;

13	import org.apache.hadoop.io.NullWritable;

14	import org.apache.hadoop.io.Text;

15	import org.apache.hadoop.mapreduce.Counter;

16	import org.apache.hadoop.mapreduce.Job;

17	import org.apache.hadoop.mapreduce.Mapper;

18	import org.apache.hadoop.mapreduce.lib.input.FileInputFormat;

19	import org.apache.hadoop.mapreduce.lib.input.TextInputFormat;

20

21	public class BatchImport {

22	static class BatchImportMapper extends Mapper<LongWritable, Text, LongWritable, Text>{

23	SimpleDateFormat dateformat1=new SimpleDateFormat("yyyyMMddHHmmss");

24	Text v2 = new Text();

25

26	protected void map(LongWritable key, Text value, Context context) throws java.io.IOException ,InterruptedException {

27	final String[] splited = value.toString().split("\t");

28

try {

29	final Date date = new Date(Long.parseLong(splited[0].trim()));

30	final String dateFormat = dateformat1.format(date);

31	String rowKey = splited[1]+":"+dateFormat;

32	v2.set(rowKey+"\t"+value.toString());

33	context.write(key, v2);

34	} catch (NumberFormatException e) {

35	final Counter counter = context.getCounter("BatchImport", "ErrorFormat");

36	counter.increment(1L);

37	System.out.println("出錯了"+splited[0]+" "+e.getMessage());

38

}

39

};

40

}

41

42	static class BatchImportReducer extends TableReducer<LongWritable, Text, NullWritable>{

43	protected void reduce(LongWritable key, java.lang.Iterable<Text> values,    Context context) throws java.io.IOException ,InterruptedException {

44	for (Text text : values) {

45	final String[] splited = text.toString().split("\t");

46

47	final Put put = new Put(Bytes.toBytes(splited[0]));

48	put.add(Bytes.toBytes("cf"), Bytes.toBytes("date"), Bytes.toBytes(splited[1]));

49	put.add(Bytes.toBytes("cf"), Bytes.toBytes("msisdn"), Bytes.toBytes(splited[2]));

50	put.add(Bytes.toBytes("cf"),Bytes.toBytes("apmac"), Bytes.toBytes(splited[3]));

51	//省略其餘字段，調用put.add(....)便可

52	context.write(NullWritable.get(), put);

53

}

54

};

55

}

56

57	public static void main(String[] args) throws Exception {

58

59

60	final Configuration configuration = new Configuration();

61	//設置zookeeper

62	configuration.set("hbase.zookeeper.quorum", "hadoop");

63	//設置hbase表名稱

64	configuration.set(TableOutputFormat.OUTPUT_TABLE, "wlan_log");

65	//將該值改大，防止hbase超時退出

66	configuration.set("dfs.socket.timeout", "180000");

67

68	final Job job = new Job(configuration, "HBaseBatchImport");

69

70	job.setMapperClass(BatchImportMapper.class);

71	job.setReducerClass(BatchImportReducer.class);

72	//設置map的輸出，不設置reduce的輸出類型

73	job.setMapOutputKeyClass(LongWritable.class);

74	job.setMapOutputValueClass(Text.class);

75

76	job.setInputFormatClass(TextInputFormat.class);

77	//再也不設置輸出路徑，而是設置輸出格式類型

78	job.setOutputFormatClass(TableOutputFormat.class);

79

80	FileInputFormat.setInputPaths(job, "hdfs://hadoop:9000/input");

81

82	job.waitForCompletion(true);

83

}

84

}

前後啓動Hadoop-->zookeeper-->habase以下

建立與之對應的表結構

RowKey設計：msisdn:日期時間串（yyyyMMddHHmmss）

執行java程序後

01	查詢手機13450456688的全部上網記錄

02	public static void scan(String tableName)throws IOException{

03	HTable table = new HTable(getConfiguration(),tableName);

04	Scan scan = new Scan();

05	scan.setStartRow(Bytes.toBytes("13450456688:/"));

06	scan.setStopRow(Bytes.toBytes("13450456688::"));

07	ResultScanner scanner =table.getScanner(scan);

08

int i=0;

09	for (Result result : scanner) {

10	System.out.println("Scan:"+i+++" "+result);

11

}

12

}

01	查詢134號段的全部上網記錄

02	public static void scanPeriod(String tableName) throws IOException{

03	HTable table = new HTable(getConfiguration(),tableName);

04	Scan scan = new Scan();

05	scan.setStartRow(Bytes.toBytes("134/"));

06	scan.setStopRow(

07	Bytes.toBytes("134:"));

08	scan.setMaxVersions(1);

09	ResultScanner scanner =table.getScanner(scan);

10

int i=0;

11	for (Result result : scanner) {

12	System.out.println("Scan:"+i+++" "+result);

13

}

14

}