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Posted to user@spark.apache.org by guxiaobo1982 <gu...@qq.com> on 2015/01/18 13:07:08 UTC

How to create distributed matrixes from hive tables.

Hi,


We have large datasets with data format for Spark MLLib matrix, but there are pre-computed by Hive and stored inside Hive, my question is can we create a distributed matrix such as IndexedRowMatrix directlly from Hive tables, avoiding reading data from Hive tables and feed them into an empty Matrix.


Regards

Re: How to create distributed matrixes from hive tables.

Posted by Xiangrui Meng <me...@gmail.com>.

You can get a SchemaRDD from the Hive table, map it into a RDD of
Vectors, and then construct a RowMatrix. The transformations are lazy,
so there is no external storage requirement for intermediate data.
-Xiangrui

On Sun, Jan 18, 2015 at 4:07 AM, guxiaobo1982 <gu...@qq.com> wrote:
> Hi,
>
> We have large datasets with data format for Spark MLLib matrix, but there
> are pre-computed by Hive and stored inside Hive, my question is can we
> create a distributed matrix such as IndexedRowMatrix directlly from Hive
> tables, avoiding reading data from Hive tables and feed them into an empty
> Matrix.
>
> Regards
>
>

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