OK, good to know data frames are still experimental. Thanks Michael.
On Mon, Mar 2, 2015 at 12:37 PM, Michael Armbrust
wrote:
> We have been using Spark SQL in production for our customers at Databricks
> for almost a year now. We also know of some very large production
> deployments elsewhere.
gt;> review code a little bit faster :P
>>>
>>>
>>>
>>> Thanks,
>>>
>>> Daoyuan
>>>
>>>
>>>
>>> *From:* Ashish Mukherjee [mailto:ashish.mukher...@gmail.com]
>>> *Sent:* Saturday, February 28, 2015
anks,
>>
>> Daoyuan
>>
>>
>>
>> *From:* Ashish Mukherjee [mailto:ashish.mukher...@gmail.com]
>> *Sent:* Saturday, February 28, 2015 4:28 PM
>> *To:* user@spark.apache.org
>> *Subject:* SparkSQL production readiness
>>
>>
>>
>> Hi,
>>
;
>
> *From:* Ashish Mukherjee [mailto:ashish.mukher...@gmail.com]
> *Sent:* Saturday, February 28, 2015 4:28 PM
> *To:* user@spark.apache.org
> *Subject:* SparkSQL production readiness
>
>
>
> Hi,
>
>
>
> I am exploring SparkSQL for my purposes of performing large relational
Hopefully the alpha tag will be remove in 1.4.0, if the community can review
code a little bit faster :P
Thanks,
Daoyuan
From: Ashish Mukherjee [mailto:ashish.mukher...@gmail.com]
Sent: Saturday, February 28, 2015 4:28 PM
To: user@spark.apache.org
Subject: SparkSQL production readiness
Hi,
I
Hi,
I am exploring SparkSQL for my purposes of performing large relational
operations across a cluster. However, it seems to be in alpha right now. Is
there any indication when it would be considered production-level? I don't
see any info on the site.
Regards,
Ashish
