Hbase Batch 方式批量查询结果

Hbase多种方式查询结果

采用不同的方式查询Hbase里的内容

命令方式

scan方式

scan 't1', {COLUMNS=>'cf',VERSIONS=>20,TIMESTAMP=>1566300936}
scan 't1' ,FILTER=>"ValueFilter(=,'binary:2014-01-30')" //过滤出等于此的值

get方式

get 't1', 'rowkey_name', {COLUMNS=>'cf',VERSIONS=>2147483647}
get 't1','rowkey_name',{COLUMN=>'cf',VERSIONS=>20,TIMERANGE=>[1566300936,1566300988],FORMATTER => 'toString'} //时间戳范围及输出类型

scan方式是遍历全表的，所以会相对get方式慢

调用API get方式

import java.io.File;
import java.io.IOException;
import java.net.MalformedURLException;
import java.util.ArrayList;
import java.util.List;

import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.hbase.Cell;
import org.apache.hadoop.hbase.TableName;
import org.apache.hadoop.hbase.client.Admin;
import org.apache.hadoop.hbase.client.Connection;
import org.apache.hadoop.hbase.client.ConnectionFactory;
import org.apache.hadoop.hbase.client.Get;
import org.apache.hadoop.hbase.client.Result;
import org.apache.hadoop.hbase.client.Table;
import org.apache.hadoop.hbase.util.Bytes;


public class Query {
	public static Configuration conf = null;
	public static Connection connection = null;
	public static Admin admin = null;
	static Table table = null;
	static {
		conf = new Configuration();
		try {
			conf.addResource(new File("hbase-site.xml").toURI().toURL());
		} catch (MalformedURLException e1) {
			e1.printStackTrace();
		}
		try {
			connection = ConnectionFactory.createConnection(conf);
			admin = connection.getAdmin();
		} catch (IOException e) {
			e.printStackTrace();
		}
	}

	 public static void queryTable(List rowkeyList) throws IOException {
	        String tableName = "table_name";
	        table = connection.getTable(TableName.valueOf(tableName));// 获取表

	        for (String rowkey : rowkeyList){
	        	Get get = new Get(Bytes.toBytes(rowkey));
				get.setMaxVersions(20);
	            Result result = table.get(get);
	            for (Cell kv : result.rawCells()) {
					String[] s = new String[] {Bytes.toString(kv.getRow()),String.valueOf(kv.getTimestamp()),Bytes.toString(kv.getFamily()),Bytes.toString(kv.getQualifier()),Bytes.toString(kv.getValue())};
	            	System.out.println(s);
	            }
	        }
	    }
	public static void main(String[] args) throws IOException {
		List rowkeyList = new ArrayList<>();
		rowkeyList.add("0000001");
		rowkeyList.add("0000002");
		rowkeyList.add("0000003");
		queryTable(rowkeyList);
	}

}

Batch 方式查询

import java.io.BufferedReader;
import java.io.File;
import java.io.FileReader;
import java.io.IOException;
import java.net.MalformedURLException;
import java.nio.charset.Charset;
import java.util.ArrayList;
import java.util.List;

import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.hbase.Cell;
import org.apache.hadoop.hbase.TableName;
import org.apache.hadoop.hbase.client.Admin;
import org.apache.hadoop.hbase.client.Connection;
import org.apache.hadoop.hbase.client.ConnectionFactory;
import org.apache.hadoop.hbase.client.Get;
import org.apache.hadoop.hbase.client.Result;
import org.apache.hadoop.hbase.client.Row;
import org.apache.hadoop.hbase.client.Table;
import org.apache.hadoop.hbase.util.Bytes;

public class BatchTest {
	static List uids;
	public static Configuration conf = null;
	public static Connection connection = null;
	public static Admin admin = null;
	static {
		conf = new Configuration();
		try {
			conf.addResource(new File("hbase-site.xml").toURI().toURL());
		} catch (MalformedURLException e1) {
			// TODO Auto-generated catch block
			e1.printStackTrace();
		}
		try {
			connection = ConnectionFactory.createConnection(conf);
			admin = connection.getAdmin();
		} catch (IOException e) {
			e.printStackTrace();
		}
	}
	static Table table = null;
	public static void queryBatchTable(List rowkeyList) throws IOException {
        String tableName = "table_name";
		int num0=0;
		int num1=0;
		int num2=0;
		long start = System.currentTimeMillis();
		int len = rowkeyList.size(); 
		//声明一个数组来保存所有的操作
        List batch = new ArrayList();
        table = connection.getTable(TableName.valueOf(tableName));// 获取表
        for(String uid:rowkeyList) {
	       	Get get = new Get(Bytes.toBytes(uid));
			get.setMaxVersions(20);
	        batch.add(get);
        }
        Object[] results = new Object[batch.size()];
        try {
            table.batch(batch, results);
        } catch (Exception e) {
            System.err.println("Error: " + e);
        }
        for (int i = 0; i < results.length; i++) {
        	Result result = (Result) results[i];
        	 for (Cell kv : result.rawCells()) {
					String[] s = new String[] {Bytes.toString(kv.getRow()),String.valueOf(kv.getTimestamp()),Bytes.toString(kv.getFamily()),Bytes.toString(kv.getQualifier()),Bytes.toString(kv.getValue())};
	            	System.out.println(s);
	            }   
        }
        table.close();
        connection.close();
    }
	public static void main(String[] args) throws IOException {
		List rowkeyList = new ArrayList<>();
		rowkeyList.add("0000001");
		rowkeyList.add("0000002");
		rowkeyList.add("0000003");
		queryBatchTable(rowkeyList);
	}
}

这两种方式为单条查询和批量查询，总体上batch方式查询较快，查询100条记录时，我的数据差了3s。虽然这是batch方式肉眼可见的优势，但是当我查询1w条记录时，batch的程序在运行中把RegionServers搞死掉嘞，get方式效率虽低，但不会出现这种情况。还在解决batch所造成的问题。