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From Mich Talebzadeh <mich.talebza...@gmail.com>
Subject Re: hive will die or not?
Date Sun, 14 Aug 2016 09:58:53 GMT
If LLAP is integrated well into Hive to kind of making it an in-memory
offerings plus using either Spark or Tez+LLAP as the execution engines,
then I think Hive will be a great integrated platform in the ecosystem.

Spark is a very good query tool but operates in a different space compared
to Hive which is a Data Warehouse.

HTH



Dr Mich Talebzadeh



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On 13 August 2016 at 16:09, Thejas Nair <thejas.nair@gmail.com> wrote:

> In addition, there is also lot more coming with LLAP.
>
> http://www.slideshare.net/HadoopSummit/llap-subsecond-
> analytical-queries-in-hive
>
> There is also no fine grained access control natively in Spark.
> LLAP would help with that as well - http://www.slideshare.net/
> HadoopSummit/finegrained-security-for-spark-and-hive
>
>
>
> On Sun, Aug 7, 2016 at 7:24 PM, Marcin Tustin <mtustin@handybook.com>
> wrote:
>
>> I think that's right. My testing (not very scientific) puts it on par for
>> redshift for the datasets I use.
>>
>>
>> On Sunday, August 7, 2016, Edward Capriolo <edlinuxguru@gmail.com> wrote:
>>
>>> A few entities going to "kill/take out/better than hive"
>>> I seem to remember HadoopDb, Impala, RedShift , voltdb...
>>>
>>> But apparent hive is still around and probably faster
>>> http://www.slideshare.net/hortonworks/hive-on-spark-is-blazi
>>> ng-fast-or-is-it-final
>>>
>>>
>>>
>>>
>>> On Sun, Aug 7, 2016 at 9:49 PM, 理 <wwli05@126.com> wrote:
>>>
>>>> in  my opinion, multiple  engine  is not  advantage,  but reverse.  it
>>>>  disperse  the dev energy.
>>>>   consider  the activity ,sparksql  support  all  tpc ds without modify
>>>> syntax!  but  hive cannot.
>>>> consider the tech,   dag, vectorization,   etc sparksql also has,
>>>> seems the  code  is  more   efficiently.
>>>>
>>>>
>>>> regards
>>>> On 08/08/2016 08:48, Will Du wrote:
>>>>
>>>> First, hive supports different engines. Look forward it's dynamic
>>>> engine switch
>>>> Second, look forward hadoop 3rd gen and map reduce on memory will fill
>>>> the gap
>>>>
>>>> Thanks,
>>>> Will
>>>>
>>>> On 2016年8月7日, at 20:27, 理 <wwli05@126.com> wrote:
>>>>
>>>> hi,
>>>>   sparksql improve  so fast,   both  hive and sparksql  are similar,
>>>>  so hive  will  lost  or not?
>>>>
>>>> regards
>>>>
>>>>
>>>>
>>>>
>>>>
>>>>
>>>
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>

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