将HDFS数据移动到MongoDB中

时间:2014-11-24 19:13:21

标签: mongodb hadoop sqoop

我正在尝试将HDFS数据移动到MongoDB中。我知道如何使用sqoop将数据导出到mysql。我不认为我可以使用sqoop作为MongoDb。我需要帮助了解如何做到这一点。

2 个答案:

答案 0 :(得分:1)

此配方将使用MongoOutputFormat类从HDFS实例加载数据 进入MongoDB集合。

Getting ready

开始使用Mongo Hadoop Adapter的最简单方法是克隆Mongo-Hadoop 来自GitHub的项目,并构建为特定版本的Hadoop配置的项目。一个Git 必须安装客户端才能克隆此项目。 此配方假定您正在使用Hadoop的CDH3分发。 官方Git客户端可以在http://git-scm.com/downloads找到。

可以在https://github.com/mongodb/的GitHub上找到Mongo Hadoop适配器 mongo-hadoop。需要为特定版本的Hadoop构建此项目。所结果的 必须在$ HADOOP_HOME / lib文件夹中的每个节点上安装JAR文件。 需要在$ HADOOP_HOME /中的每个节点上安装Mongo Java驱动程序 lib文件夹。它可以在https://github.com/mongodb/mongo-java-driver/找到 下载。

怎么做......

 Complete the following steps to copy data form HDFS into MongoDB:
    1.   Clone the mongo-hadoop repository with the following command line:
    git clone https://github.com/mongodb/mongo-hadoop.git


    2.   Switch to the stable release 1.0 branch:
    git checkout release-1.0


    3.   Set the Hadoop version which mongo-hadoop should target. In the folder
    that mongo-hadoop was cloned to, open the build.sbt file with a text editor.
    Change the following line:
    hadoopRelease in ThisBuild := "default"
    to
    hadoopRelease in ThisBuild := "cdh3"


    4.   Build mongo-hadoop :
    ./sbt package
    This will create a file named mongo-hadoop-core_cdh3u3-1.0.0.jar in the
    core/target folder.


    5.   Download the MongoDB Java Driver Version 2.8.0 from https://github.com/
    mongodb/mongo-java-driver/downloads .


    6.   Copy mongo-hadoop and the MongoDB Java Driver to $HADOOP_HOME/lib on
    each node:


    cp mongo-hadoop-core_cdh3u3-1.0.0.jar mongo-2.8.0.jar $HADOOP_
    HOME/lib


    7.   Create a Java MapReduce program that will read the weblog_entries.txt file
    from HDFS and write them to MongoDB using the MongoOutputFormat class:


import java.io.*;
import org.apache.commons.logging.*;
import org.apache.hadoop.conf.*;
import org.apache.hadoop.fs.Path;
import org.apache.hadoop.io.*;
import org.apache.hadoop.mapreduce.lib.input.FileInputFormat;
import org.apache.hadoop.mapreduce.lib.input.TextInputFormat;
import org.apache.hadoop.mapreduce.*;
import org.bson.*;
import org.bson.types.ObjectId;
import com.mongodb.hadoop.*;
import com.mongodb.hadoop.util.*;
public class ExportToMongoDBFromHDFS {
private static final Log log = LogFactory.getLog(ExportToMongoDBFromHDFS.class);
public static class ReadWeblogs extends Mapper<LongWritable, Text, ObjectId, BSONObject>{
public void map(Text key, Text value, Context context)
throws IOException, InterruptedException{
           System.out.println("Key: " + key);
           System.out.println("Value: " + value);
           String[] fields = value.toString().split("\t");
           String md5 = fields[0];
           String url = fields[1];
           String date = fields[2];
           String time = fields[3];
           String ip = fields[4];
           BSONObject b = new BasicBSONObject();
            b.put("md5", md5);
            b.put("url", url);
            b.put("date", date);
            b.put("time", time);
              b.put("ip", ip);
          context.write( new ObjectId(), b);
       }
}
public static void main(String[] args) throws Exception{
       final Configuration conf = new Configuration();
          MongoConfigUtil.setOutputURI(conf,"mongodb://<HOST>:<PORT>/test.        weblogs");
System.out.println("Configuration: " + conf);
        final Job job = new Job(conf, "Export to Mongo");
         Path in = new Path("/data/weblogs/weblog_entries.txt");
            FileInputFormat.setInputPaths(job, in);
            job.setJarByClass(ExportToMongoDBFromHDFS.class);
            job.setMapperClass(ReadWeblogs.class);
            job.setOutputKeyClass(ObjectId.class);
            job.setOutputValueClass(BSONObject.class);
            job.setInputFormatClass(TextInputFormat.class);
            job.setOutputFormatClass(MongoOutputFormat.class);
            job.setNumReduceTasks(0);
           System.exit(job.waitForCompletion(true) ? 0 : 1 );
       }
}

8.   Export as a runnable JAR file and run the job:
hadoop jar ExportToMongoDBFromHDFS.jar
9.   Verify that the weblogs MongoDB collection was populated from the Mongo shell:
db.weblogs.find();

答案 1 :(得分:0)

基本问题是mongo以BSON格式(二进制JSON)存储其数据,而hdfs数据可能具有不同的格式(txt,sequence,avro)。最简单的方法是使用pig来使用此驱动程序加载结果:

https://github.com/mongodb/mongo-hadoop/tree/master/pig

进入mongo db。您必须将您的值映射到您的集合 - git hub页面上有一个很好的示例。