HPLSQL is part of Hive, but it is not fully integrated into Hive itself yet.
It is still an external module that handles the control flow while passing Hive
SQL into Hive via JDBC. We’d like to integrate it fully with Hive’s parser but
we’re not there yet.
Alan.
> On Feb 25, 2016, at 14:26,
Hi Gopal,
Is HPLSQL is integrated into Hive 2 as part of its SQL?
Thanks,
Mich
On 25/02/2016 10:38, Mich Talebzadeh wrote:
> Apologies the job on Spark using Functional programming was run on a bigger
> table.
>
> The correct timing is 42 seconds for Spark
>
> On 25/02/2016 10:15,
Apologies the job on Spark using Functional programming was run on a
bigger table.
The correct timing is 42 seconds for Spark
On 25/02/2016 10:15, Mich Talebzadeh wrote:
> hanks Gopal I made the following observation so far:
>
> Using the old MR you get this message now which is fine
>
hanks Gopal I made the following observation so far:
Using the old MR you get this message now which is fine
Hive-on-MR is deprecated in Hive 2 and may not be available in the
future versions. Consider using a different execution engine (i.e. tez,
spark) or using Hive 1.X releases.
use ora
> Correct hence the question as I have done some preliminary tests on Hive
>2.
> I want to share insights with other people who have performed the same
If you have feedback on Hive-2.0, I'm all ears.
I'm building up 2.1 features & fixes, so now would be a good time to bring
stuff up.
Speed most
Correct hence the question as I have done some preliminary tests on Hive
2.
I want to share insights with other people who have performed the same
HTH
On 24/02/2016 17:33, Jörn Franke wrote:
> This highly depends on data, optimization and queries and you have to always
> do some own tes
This highly depends on data, optimization and queries and you have to always do
some own tests. You can of course use the public hive benchmark tools, but in
the end you have to fit it to your situation.
> On 24 Feb 2016, at 18:31, Mich Talebzadeh
> wrote:
>
> well I meant how fast it returns
Well, he asked for performances... nobody asked for implications. Is it
comparable to a MPP dbms or still slow because for the map teduce / tez
limits?
On 24 Feb 2016 17:25, "Jörn Franke" wrote:
> I am not sure what you are looking for. Performance has many influence
> factors...
>
> On 24 Feb 20
well I meant how fast it returns the results in this case compare to
1.2.1 etc
thanks
On 24/02/2016 17:25, Jörn Franke wrote:
> I am not sure what you are looking for. Performance has many influence
> factors...
>
> On 24 Feb 2016, at 18:23, Mich Talebzadeh
> wrote:
>
>> Hi,
>>
>>
I am not sure what you are looking for. Performance has many influence
factors...
> On 24 Feb 2016, at 18:23, Mich Talebzadeh
> wrote:
>
> Hi,
>
>
>
> Has anyone got some performance matrix for Hive 2 from user perspective?
>
> It looks very impressive on ORC tables.
>
> thanks
>
> --
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