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The "SpMV" page has been changed by Mikalai Parafeniuk:
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  }}}
  After that you should copy these files to HDFS. If you don't feel comfortable 
with HDFS please see 
[[http://hadoop.apache.org/common/docs/r0.20.0/hdfs_shell.html|this tutorial]]. 
After you have copied input matrix into `matrix-txt` and input vector into 
`vector-txt`, we are ready to start. The following code snippet shows, how you 
can multiply matrices in this mode. Explanations will be given below.
  {{{
- 1: jar hama-examples-0.6.0-SNAPSHOT.jar matrixtoseq 
/user/hduser/spmv/matrix-txt /user/hduser/spmv/matrix-seq sparse 4
- 2: bin/hama jar hama-examples-0.6.0-SNAPSHOT.jar matrixtoseq 
/user/hduser/spmv/vector-txt /user/hduser/spmv/vector-seq dense 4
- 3: bin/hama jar hama-examples-0.6.0-SNAPSHOT.jar spmv 
/user/hduser/spmv/matrix-seq /user/hduser/spmv/vector-seq 
/user/hduser/spmv/result-seq 4
- 4: ../hadoop/bin/hadoop dfs -rmr /user/hduser/spmv/result-seq/part
- 5: bin/hama jar hama-examples-0.6.0-SNAPSHOT.jar matrixtotext 
/user/hduser/spmv/result-seq /user/hduser/spmv/result-txt
- 6: ../hadoop/bin/hadoop dfs -cat /user/hduser/spmv/result-txt/part-00000
+ 1: hama jar $HAMA_EXAMPLES matrixtoseq $SPMV/matrix-txt $SPMV/matrix-seq 
sparse 4
+ 2: hama jar $HAMA_EXAMPLES matrixtoseq $SPMV/vector-txt $SPMV/vector-seq 
dense 4
+ 3: hama jar $HAMA_EXAMPLES spmv $SPMV/matrix-seq $SPMV/vector-seq 
$SPMV/result-seq 4
+ 4: hadoop dfs -rmr $SPMV/result-seq/part
+ 5: hama jar $HAMA_EXAMPLES matrixtotext $SPMV/result-seq $SPMV/result-txt
+ 6: hadoop dfs -cat $SPMV/result-txt/*
      0  4 4 0 38.0 1 12.0 2 24.0 3 6.0
  }}}
  Line 1: Converting input matrix to sequence file format, internally 
consisting of `SparseVectorWritable`.<<BR>>

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