Even if it is possible it does only make sense to a certain limit given by your
CPU and CPU caches.
> On 04 Aug 2016, at 22:57, Mich Talebzadeh wrote:
>
> As I understand from the manual:
>
> Vectorized query execution is a Hive feature that greatly reduces the CPU
> usage for typical query o
> Vectorized query execution streamlines operations by processing a block
>of 1024 rows at a time.
The real win of vectorization + columnar is that you get to take advantage
of them at the same time.
We get to execute the function once per 1024 rows when things are
repeating - particularly true w
As I understand from the manual:
Vectorized query execution is a Hive feature that greatly reduces the CPU
usage for typical query operations like scans, filters, aggregates, and
joins. A standard query execution system processes one row at a time. This
involves long code .. Vectorized query e
