Re: Format dillema

[Sruthi Kumar Annamneedu]

Try using Parquet with Snappy compression and Impala will work with this
combination.

On Sun, Jun 18, 2017 at 3:35 AM, rakesh sharma 
wrote:

> We are facing an issue of format. We would like to do bi style queries
> from hive using impala and that supports parquet but we would like the data
> to be compressed to the best ratio like orc. But impala cannot query orc
> formats. What can be a design consideration for this. Any help
>
> Thanks
> Rakesh
>
> Get Outlook for Android 
>
>

any hive release imminent?

[Stephen Sprague]

Hey guys,
Is there any word out on the street about a timeframe for the next 2.x hive
release? Looks like Dec 2016 was the last one.

The natives are getting restless i think. :)

thanks,
Stephen.

Re: debug on hive

[Ying Chen]

What is not working... ?
Ying

On Wed, Jun 14, 2017 at 8:55 PM, vergil  wrote:

> Hi,
> Because I am going to rewrite and change some source code  based on our
> demands,I need to debug on hive in eclipse.But it do not works refer to
> https://cwiki.apache.org/confluence/display/Hive/DeveloperGuide and
> https://cwiki.apache.org/confluence/display/Hive/HiveDeveloperFAQ.
> Anyone could give me some suggestion?
>
> --
> The harder, more fortunate
>
>

Re: setup spark engine to hive ,the hive version and spark build problem

[Mich Talebzadeh]

just to clarify you mean:

Hive 2.1.1 works with Spark engine 2.X

Thanks

Dr Mich Talebzadeh



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On 19 June 2017 at 06:53, vergil  wrote:

> Hi,dear friend
> 1.After I try it and read the source code,I find that hive on spark2.X do
> works on hive 2.2.0 2.2.1 version and 2.4.x version which includes this
> commit history https://github.com/apache/hive/commit/
> ac977cc88757b49fbbd5c3bb236adcedcaae396c.I use the 2.2.0 version now.
> 2.Hive on spark,according to hive source code,you can just build the spark
> without hive profile and  add the essential spark jars and scala'library
> into your hive's lib folder.So you have no need to deploy the whole
> spark.This can meet your demands.
> 3.Spark sql,deploying another standard version whith hive can meet your
> sparksql demand.
> I hope it can help you.
>
> --
> The harder, more fortunate
>
>