hbase批量导入2
hbase批量导入2
一滴水的眼泪 发表于2年前
hbase批量导入2
  • 发表于 2年前
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摘要: 对上篇hbase批量导入进行了代码更改,实现了一次性导入300个csv文件,768000行记录,但是不能够一下子导入2000+文件,提示内存运行超过安全值,不知道为什么?(我的是伪分布hadoop,虚拟机里面运行) 代码参考网上的批量导入hbase的代码,连接忘记了

import java.io.IOException;  


import java.text.SimpleDateFormat;  

import java.util.Date;  

import org.apache.hadoop.conf.Configuration;  

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

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

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

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

import org.apache.hadoop.io.LongWritable;  

import org.apache.hadoop.io.NullWritable;  

import org.apache.hadoop.io.Text;  

import org.apache.hadoop.mapreduce.Counter;  

import org.apache.hadoop.mapreduce.Job;  

import org.apache.hadoop.mapreduce.Mapper;  

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

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


public class UptoHBase {


/**

* @param args

*/

public static void main(String[] args)  throws java.io.IOException, InterruptedException,ClassNotFoundException{

// TODO Auto-generated method stub

final Configuration configuration = new Configuration();  

       // 设置zookeeper  

       //configuration.set("hbase.zookeeper.quorum", "hadoop1");  

       configuration.set("hbase.zookeeper.quorum", "localhost");

       

       // 设置hbase表名称  

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

       //configuration.set(TableOutputFormat.OUTPUT_TABLE, "testhbase"); 

       configuration.set(TableOutputFormat.OUTPUT_TABLE, "Bearing1_1_acc"); 

       // 将该值改大,防止hbase超时退出  

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

   

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

 

       job.setMapperClass(BatchImportMapper.class);  

       job.setReducerClass(BatchImportReducer.class);  

       // 设置map的输出,不设置reduce的输出类型  

       job.setMapOutputKeyClass(LongWritable.class);  

       job.setMapOutputValueClass(Text.class);  

    

       job.setInputFormatClass(TextInputFormat.class);  

       // 不再设置输出路径,而是设置输出格式类型  

       job.setOutputFormatClass(TableOutputFormat.class);  

 

      // FileInputFormat.setInputPaths(job, "hdfs://hadoop1:9000/input");  

      // FileInputFormat.setInputPaths(job, "hdfs://localhost:9000/user/hadoop/testhbase");  

       FileInputFormat.setInputPaths(job, "hdfs://localhost:9000/user/hadoop/Bearing1_1_acc"); 

       job.waitForCompletion(true); 

}

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

Text v2 = new Text();  


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

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

final String[] splited = value.toString().split(",");

//System.out.println("%%%%%%%%%%%%"+splited[3]);

try {  

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

//String rowKey = splited[0] ; 

//第四列的前面一位补充成为 0 凑齐6位数

String str0="00";

splited[0]=str0.substring(0,2-splited[0].length())+splited[0];

//System.out.println("%%%%%%%%%%%%"+splited[0]);

String str1="00";

splited[1]=str1.substring(0,2-splited[1].length())+splited[1];

//System.out.println(".............."+splited[1]);

String str2="00";

splited[2]=str2.substring(0,2-splited[2].length())+splited[2];

//System.out.println(">>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>"+splited[2]);

String str3="00000000000";

splited[3]=str3.substring(0,11-splited[3].length())+splited[3];

//System.out.println("%%%%%%%%%%%%"+splited[3]);

String rowKey = splited[0]+splited[1]+splited[2]+splited[3];

 

v2.set(rowKey + "," + value.toString()); 

//System.out.println("#####################" + key);

System.out.println("^^^^^^^^^^^^^^^^^^^" + rowKey);

//System.out.println(">>>>>>>>>>>>>>" + value.toString());

context.write(key, v2); 

} catch (NumberFormatException e) {  

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

counter.increment(1L);  

System.out.println("出错了" + splited[0] + " " + e.getMessage());  

              }  

}

 }


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

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

              for (Text text : values) {  

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

               final String[] splited = text.toString().split(",");

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

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

                 //put.add(Bytes.toBytes("data"), Bytes.toBytes("h"),Bytes.toBytes(splited[2]));  

                 //put.add(Bytes.toBytes("data"), Bytes.toBytes("l"),Bytes.toBytes(splited[3])); 

                 put.add(Bytes.toBytes("data"), Bytes.toBytes("h"),Bytes.toBytes(splited[5]));  

                 put.add(Bytes.toBytes("data"), Bytes.toBytes("l"),Bytes.toBytes(splited[6]));  

                  // 省略其他字段,调用put.add(....)即可  

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

              }  

}  

}

下面截图反应的就是一次性导入2000+csv文件时的错误,扫描表时出现的


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