-private@ list for future replies. This is not a PMC conversation.
On Fri, Aug 11, 2017 at 3:17 AM Andrew Ash wrote:
> @Reynold no I don't use the HiveCatalog -- I'm using a custom
> implementation of ExternalCatalog instead.
>
> On Thu, Aug 10, 2017 at 3:34 PM, Dong Joon Hyun
> wrote:
>
>> Tha
*Thursday, August 10, 2017 at 3:23 PM
> *To: *Andrew Ash
> *Cc: *Dong Joon Hyun , "dev@spark.apache.org" <
> dev@spark.apache.org>, Apache Spark PMC
> *Subject: *Re: Use Apache ORC in Apache Spark 2.3
>
>
>
> Do you not use the catalog?
>
>
>
>
>
> On T
, August 10, 2017 at 3:23 PM
To: Andrew Ash
Cc: Dong Joon Hyun , "dev@spark.apache.org"
, Apache Spark PMC
Subject: Re: Use Apache ORC in Apache Spark 2.3
Do you not use the catalog?
On Thu, Aug 10, 2017 at 3:22 PM, Andrew Ash
mailto:and...@andrewash.com>> wrote:
I would support mov
here is no further comments except the last comment(5) from
>> Owen in this week.
>>
>>
>>
>> Please give your opinion if you think we need some change on the current
>> PR (as-is).
>>
>> FYI, there is one LGTM on the PR (as-is) and no -1 so far.
>
nt(5) from
> Owen in this week.
>
>
>
> Please give your opinion if you think we need some change on the current
> PR (as-is).
>
> FYI, there is one LGTM on the PR (as-is) and no -1 so far.
>
>
>
> Thank you again for supporting new ORC improvement in A
porting new ORC improvement in Apache Spark.
Bests,
Dongjoon.
From: Dong Joon Hyun
Date: Friday, August 4, 2017 at 8:05 AM
To: "dev@spark.apache.org"
Cc: Apache Spark PMC
Subject: Use Apache ORC in Apache Spark 2.3
Hi, All.
Apache Spark always has been a fast and general engine,
Thank you so much, Owen!
Bests,
Dongjoon.
From: Owen O'Malley
Date: Friday, August 4, 2017 at 9:59 AM
To: Dong Joon Hyun
Cc: "dev@spark.apache.org" , Apache Spark PMC
Subject: Re: Use Apache ORC in Apache Spark 2.3
The ORC community is really eager to get this work integra
The ORC community is really eager to get this work integrated in to Spark
so that Spark users can have fast access to their ORC data. Let us know if
we can help the integration.
Thanks,
Owen
On Fri, Aug 4, 2017 at 8:05 AM, Dong Joon Hyun
wrote:
> Hi, All.
>
>
>
> Apache Spark always has been
Hi, All.
Apache Spark always has been a fast and general engine, and
supports Apache ORC inside `sql/hive` module with Hive dependency since Spark
1.4.X (SPARK-2883).
However, there are many open issues about `Feature parity for ORC with Parquet
(SPARK-20901)` as of today.
With new Apache ORC 1
