
MapReduce
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MapReduce之map的join算法实现
Map import org.apache.hadoop.filecache.DistributedCache; import org.apache.hadoop.fs.FSDataInputStream; import org.apache.hadoop.fs.FileSystem; import org.apache.hadoop.fs.Path; import org.apache.hadoop.io.LongWritable; import org.apache.hadoop.io.Text; i.原创 2020-11-04 20:59:05 · 171 阅读 · 0 评论 -
MapReduce之自定义输出
1.Drive驱动类 package RecodReader; import org.apache.hadoop.conf.Configuration; import org.apache.hadoop.fs.Path; import org.apache.hadoop.io.BytesWritable; import org.apache.hadoop.io.Text; import org.apache.hadoop.mapreduce.Job; import org.apache.hadoop.原创 2020-11-16 17:26:12 · 263 阅读 · 0 评论 -
MapReduce之自定义输入
1.驱动类 Drive代码 package RecordWrite; import org.apache.hadoop.conf.Configuration; import org.apache.hadoop.fs.Path; import org.apache.hadoop.io.NullWritable; import org.apache.hadoop.io.Text; import org.apache.hadoop.mapreduce.Job; import org.apache.hadoop.原创 2020-11-16 17:18:04 · 276 阅读 · 0 评论 -
MapReduce之Reduce的Join算法实现
需求 JavaBean类 package Join.reduceJoin.Demo2; import org.apache.hadoop.io.Writable; import java.io.DataInput; import java.io.DataOutput; import java.io.IOException; public class JavaBean implements Writable { private String id; private String dat原创 2020-11-04 20:56:56 · 163 阅读 · 0 评论