x, and others, and supports joining data across the connections.
>>
>>
>>
>> They didn’t provide very solid specifics, but there will probably be
>> something on the website in the near future.
>>
>>
>>
>> From: 김영우 [mailto:warwit...@gmail.com]
>&g
ing data across the connections.
>
>
>
> They didn’t provide very solid specifics, but there will probably be
> something on the website in the near future.
>
>
>
> *From:* 김영우 [mailto:warwit...@gmail.com]
> *Sent:* Wednesday, June 17, 2015 2:36 AM
> *To:* user@phoenix.apac
be something
on the website in the near future.
From: 김영우 [mailto:warwit...@gmail.com]
Sent: Wednesday, June 17, 2015 2:36 AM
To: user@phoenix.apache.org
Subject: Re: Phoenix and Hive
Looks like Hive SH for Phoenix is WIP,
https://issues.apache.org/jira/browse/PHOENIX-331
https://github.com
Thanks for the pointers, I will give it a try.
On Wed, Jun 17, 2015 at 12:06 PM, Fulin Sun wrote:
> Hi there
> AFAIK, spark can smoothly read hive data using HiveContext, or use
> dataframe and data source api to read any
> external data source to tranform that into dataframe. So I would recomme
Looks like Hive SH for Phoenix is WIP,
https://issues.apache.org/jira/browse/PHOENIX-331
https://github.com/nmaillard/Phoenix-Hive
HTH
- Youngwoo
On Wed, Jun 17, 2015 at 3:26 PM, Buntu Dev wrote:
> I got quite a bit of data in a Hive managed tables and I looking for ways
> to join those tables
Hi there
AFAIK, spark can smoothly read hive data using HiveContext, or use dataframe
and data source api to read any
external data source to tranform that into dataframe. So I would recommend
using phoenix-spark module to
achieve this goal. And you can simply choose to write spark dataframe to
