Reading specific column family and columns in Hbase table through spark

[Mich Talebzadeh]

Hi,

I have a routine in Spark that iterates  through Hbase rows and tries to
read columns.

My question is how can I read the correct ordering of columns?

example

val hBaseRDD = sc.newAPIHadoopRDD(conf, classOf[TableInputFormat],
      classOf[org.apache.hadoop.hbase.io.ImmutableBytesWritable],
      classOf[org.apache.hadoop.hbase.client.Result])

val parsed = hBaseRDD.map{ case(b, a) => val iter = a.list().iterator();
            ( Bytes.toString(a.getRow()).toString,
            Bytes.toString( iter.next().getValue()).toString,
            Bytes.toString( iter.next().getValue()).toString,
            Bytes.toString( iter.next().getValue()).toString,
            Bytes.toString(iter.next().getValue())
)}

The above reads the column family columns sequentially. How can I force it
to read specific columns only?


Thanks


Dr Mich Talebzadeh



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