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From Michael Artz <michaelea...@gmail.com>
Subject Re: Spark SQL vs HiveQL
Date Mon, 28 Aug 2017 23:03:36 GMT
Thanks for responding BUT I would not be reading from a file if it was
Hive.

 I'm comparing Hive LLAP from a hive table vs Spark SQL from a file.  That
is the question.

Thanks

On Mon, Aug 28, 2017 at 1:58 PM, Imran Rajjad <rajjad@gmail.com> wrote:

> If reading directly from file then Spark SQL should be your choice
>
>
> On Mon, Aug 28, 2017 at 10:25 PM Michael Artz <michaeleartz@gmail.com>
> wrote:
>
>> Just to be clear, I'm referring to having Spark reading from a file, not
>> from a Hive table.  And it will have tungsten engine off heap serialization
>> after 2.1, so if it was a test with like 1.63 it won't be as helpful.
>>
>>
>> On Mon, Aug 28, 2017 at 10:50 AM, Michael Artz <michaeleartz@gmail.com>
>> wrote:
>>
>>> Hi,
>>>   There isn't any good source to answer the question if Hive as an
>>> SQL-On-Hadoop engine just as fast as Spark SQL now? I just want to know if
>>> there has been a comparison done lately for HiveQL vs Spark SQL on Spark
>>> versions 2.1 or later.  I have a large ETL process, with many table joins
>>> and some string manipulation. I don't think anyone has done this kind of
>>> testing in a while.  With Hive LLAP being so performant, I am trying to
>>> make the case for using Spark and some of the architects are light on
>>> experience so they are scared of Scala.
>>>
>>> Thanks
>>>
>>>
>>>
>>
>>
>> --
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>

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