Got it. Thanks a lot for the reply.
Best regards,
Saisai
Ryan Blue 于2019年8月9日周五 上午6:36写道：
> We've actually been doing all of our API work in upstream Spark instead of
> adding APIs to Iceberg for row-level data manipulation. That's why I'm
> involved in the DataSourceV2 work.
>
> I think for De
I'm still looking into this, to figure out a way to add HIVE_LOCKS table in
the Spark side. Anyway I will create an issue first to track this.
Best regards,
Saisai
Ryan Blue 于2019年8月9日周五 上午4:58写道：
> Any ideas on how to fix this? Can we create the HIVE_LOCKS table if it is
> missing automaticall
Yes, will do so early next week if not sooner.
thanks,
Anjali.
On Thu, Aug 8, 2019 at 4:45 PM Gautam Kowshik
wrote:
> Thanks Anjali and Samarth,
>These look good! Great progress. Can you push your changes to the
> vectorized-read branch please?
>
> Sent from my iPhone
>
> On Aug 8, 2019, a
Thanks Anjali and Samarth,
These look good! Great progress. Can you push your changes to the
vectorized-read branch please?
Sent from my iPhone
> On Aug 8, 2019, at 11:56 AM, Anjali Norwood wrote:
>
> Good suggestion Ryan. Added dev@iceberg now.
>
> Dev: Please see early vectorized Icebe
On Thu, Aug 8, 2019 at 3:37 PM Ryan Blue wrote:
> I think it's a great idea to branch and get ready for Spark 3.0.0. Right
> now, I'm focused on getting a release out, but I can review patches for
> Spark 3.0.
>
> Anyone know if there are nightly builds of Spark 3.0 to test with?
>
Seems like th
One more thing:
Spark 3.0.0 has several changes regarding to DataSource V2, it would be
better to evaluate the changes and do the design by also considering 3.0
changes
This actually goes the other way. We’ve been influencing the design of
DataSourceV2 based on what we need for Iceberg. I’m track
I think it's a great idea to branch and get ready for Spark 3.0.0. Right
now, I'm focused on getting a release out, but I can review patches for
Spark 3.0.
Anyone know if there are nightly builds of Spark 3.0 to test with?
On Wed, Aug 7, 2019 at 7:34 PM Saisai Shao wrote:
> IMHO I agree that we
We've actually been doing all of our API work in upstream Spark instead of
adding APIs to Iceberg for row-level data manipulation. That's why I'm
involved in the DataSourceV2 work.
I think for Delta, this is probably an effort to get some features out
earlier. I think that's easier for Delta becau
Any ideas on how to fix this? Can we create the HIVE_LOCKS table if it is
missing automatically?
On Wed, Aug 7, 2019 at 7:13 PM Saisai Shao wrote:
> Thanks guys for your reply.
>
> I didn't do anything special, I don't even have a configured Hive. I just
> simply put the iceberg (assembly) jar i
Good suggestion Ryan. Added dev@iceberg now.
Dev: Please see early vectorized Iceberg performance results a couple
emails down. This WIP.
thanks,
Anjali.
On Thu, Aug 8, 2019 at 10:39 AM Ryan Blue wrote:
> Hi everyone,
>
> Is it possible to copy the Iceberg dev list when sending these emails?
>
> With an iceberg raw store, I suspect that you might not need a storage
handler and could go straight to a input/output format. You would probably
need an input and output format for each of the storage formats:
Iceberg{Orc,Parquet,Avro}{Input,Output}Format.
I don't think that would work because
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