You will have to change the metadata file under _spark_metadata folder to
remove the listing of corrupt files.
Thanks,
Shobhit G
Sent from my iPhone
> On Dec 31, 2016, at 8:11 PM, khyati [via Apache Spark Developers List]
> wrote:
>
> Hi,
>
> I am trying to read the multiple parquet files
called again as
the RDD would be reused and the partitions would have gotten cached in the
RDD.
Can someone advice me on where would be the right places to acquire and
release a lock with my data endpoint in this scenario.
Thanks a lot,
Abhishek Somani
Hi experts,
I'll be very grateful if someone could help.
Thanks,
Abhishek
On Fri, May 24, 2019 at 7:06 PM Abhishek Somani
wrote:
> Hi experts,
>
> I am trying to create a custom Spark Datasource(v1) to read from a
> transactional data endpoint, and I need to acquire a lock
endpoint provides me an api to acquireLock() and one
to releaseLock() (which it stores in mysql behind the scenes).
Thanks again!
Abhishek
On Mon, May 27, 2019 at 10:38 AM Jörn Franke wrote:
> What does your data source structure look like?
> Can’t you release it at the end of the build scan
e
tables via Spark as well.
The datasource is also available as a spark package, and instructions on
how to use it are available on the Github page
<https://github.com/qubole/spark-acid>.
We welcome your feedback and suggestions.
Thanks,
Abhishek Somani
Hey Naresh,
Thanks for your question. Yes it will work!
Thanks,
Abhishek Somani
On Fri, Jul 26, 2019 at 7:08 PM naresh Goud
wrote:
> Thanks Abhishek.
>
> Will it work on hive acid table which is not compacted ? i.e table having
> base and delta files?
>
> Let’s say hive a
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On Thu, Dec 24, 2020, 6:59 AM Shril Kumar wrote:
> Unsubscribe
>
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Thanks.
Best Regards,
*Abhishek Tripath*
On Thu, Jul 19, 2018 at 10:02 AM Abhishek Tripathi
wrote:
> Hello All!
> I am using spark 2.3.1 on kubernetes to run a structured streaming spark
> job which read stream from Kafka , perform some window aggregation and
> output s
the other essentials (which are thankfully getting
addressed).
Any guidance on (timelines for) expected exit from alpha state would also be
greatly appreciated.
-Abhishek-
> On Oct 19, 2016, at 5:36 PM, Matei Zaharia wrote:
>
> I'm also curious whether there are concerns othe
could you use a custom partitioner to preserve boundaries such that all related
tuples end up on the same partition?
On Jun 30, 2015, at 12:00 PM, RJ Nowling wrote:
> Thanks, Reynold. I still need to handle incomplete groups that fall between
> partition boundaries. So, I need a two-pass appr
A workaround would be to have multiple passes on the RDD and each pass write
its own output?
Or in a foreachPartition do it in a single pass (open up multiple files per
partition to write out)?
-Abhishek-
On Aug 14, 2015, at 7:56 AM, Silas Davis wrote:
> Would it be right to assume that
Regards,
Abhishek
From: Senthil Kumar
Sent: Sunday, December 19, 2021 11:58 PM
To: dev
Subject: Spark 3 is Slower than Spark 2 for TPCDS Q04 query.
Hi All,
We are comparing Spark 2.4.5 and Spark 3(without enabling spark 3 additional
features) with TPCDS queries and found that Spark 3's perfor
and Regards,
Abhishek
From: Steve Loughran
Sent: Wednesday, July 17, 2019 4:52 PM
To: dev@spark.apache.org
Subject: Re: IPv6 support
Fairly neglected hadoop patch, FWIW;
https://issues.apache.org/jira/browse/HADOOP-11890
FB have been running HDFS &c on IPv6 for a while, but their codebase
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