import java.io.IOException;
import java.util.HashMap;
import java.util.Map;
import java.util.Set;
import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.hbase.HBaseConfiguration;
import org.apache.hadoop.hbase.client.Put;
import org.apache.hadoop.hbase.client.Result;
import org.apache.hadoop.hbase.client.Scan;
import org.apache.hadoop.hbase.io.ImmutableBytesWritable;
import org.apache.hadoop.hbase.mapreduce.MultiTableOutputFormat;
import org.apache.hadoop.hbase.mapreduce.TableInputFormat;
import org.apache.hadoop.hbase.mapreduce.TableMapReduceUtil;
import org.apache.hadoop.hbase.mapreduce.TableMapper;
import org.apache.hadoop.hbase.util.Bytes;
import org.apache.hadoop.mapreduce.Job;
import org.apache.hadoop.util.GenericOptionsParser;
public class IndexBuilder {
private class MyMapper extends TableMapper
{
private Map indexes = new HashMap();
private String columnFamily;
@Override
protected void map(ImmutableBytesWritable key, Result value,
Context context) throws IOException, InterruptedException {
Set keys = indexes.keySet();
for (byte[] k : keys) {
ImmutableBytesWritable indexTableName = indexes.get(k);
byte[] val = value.getValue(Bytes.toBytes(columnFamily), k);
Put put = new Put(val);// 索引表的rowkey为原始表的值
put.add(Bytes.toBytes("f1"), Bytes.toBytes("id"), key.get());// 索引表的内容为原始表的rowkey
context.write(indexTableName, put);
}
}
@Override
protected void setup(Context context) throws IOException,
InterruptedException {
Configuration conf = context.getConfiguration();
String tableName = conf.get("tableName");
columnFamily = conf.get("columnFamily");
String[] qualifiers = conf.getStrings("qualifiers");
// indexes的key为列名,value为索引表名
for (String q : qualifiers) {
indexes.put(
Bytes.toBytes(q),
new ImmutableBytesWritable(Bytes.toBytes(tableName
+ "-" + q)));
}
}
}
public static void main(String[] args) throws IOException,
ClassNotFoundException, InterruptedException {
Configuration conf = HBaseConfiguration.create();
String[] otherargs = new GenericOptionsParser(conf, args)
.getRemainingArgs();// 去除掉没有用的命令行参数
// 输入参数:表名,列族名,列名
if (otherargs.length < 3) {
System.exit(-1);
}
String tableName = otherargs[0];
String columnFamily = otherargs[1];
conf.set("tableName", tableName);
conf.set("columnFamily", columnFamily);
String[] qualifiers = new String[otherargs.length - 2];
for (int i = 0; i < qualifiers.length; i++) {
qualifiers[i] = otherargs[i + 2];
}
conf.setStrings("qualifiers", qualifiers);
Job job = new Job(conf, tableName);
job.setJarByClass(IndexBuilder.class);
job.setMapperClass(MyMapper.class);
job.setNumReduceTasks(0);
job.setInputFormatClass(TableInputFormat.class);
// 可以输出多张表
job.setOutputFormatClass(MultiTableOutputFormat.class);
Scan scan = new Scan();
scan.setCaching(1000);
TableMapReduceUtil.initTableMapperJob(tableName, scan, MyMapper.class,
ImmutableBytesWritable.class, Put.class, job);
job.waitForCompletion(true);
}
}创新互联-专业网站定制、快速模板网站建设、高性价比大同网站开发、企业建站全套包干低至880元,成熟完善的模板库,直接使用。一站式大同网站制作公司更省心,省钱,快速模板网站建设找我们,业务覆盖大同地区。费用合理售后完善,10多年实体公司更值得信赖。另外有需要云服务器可以了解下创新互联cdcxhl.cn,海内外云服务器15元起步,三天无理由+7*72小时售后在线,公司持有idc许可证,提供“云服务器、裸金属服务器、高防服务器、香港服务器、美国服务器、虚拟主机、免备案服务器”等云主机租用服务以及企业上云的综合解决方案,具有“安全稳定、简单易用、服务可用性高、性价比高”等特点与优势,专为企业上云打造定制,能够满足用户丰富、多元化的应用场景需求。
分享题目:Mapreduce构建hbase二级索引-创新互联
网站URL:http://bjjierui.cn/article/pisjs.html