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On Tue, Feb 7, 2023 at 5:19 AM Tang Jinxin wrote:
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On Mon, Nov 1, 2021 at 6:57 PM Kapoor, Rohit
wrote:
> Hi,
>
>
>
> I am testing the aggregate push down for JDBC after going through the JIRA
> - https://issues.apache.org/jira/browse/SPARK-34952
>
> I have the latest Spark 3.2 setup in local mode (laptop).
>
>
>
> I have PostgreSQL
Hi all,
I have written a small ETL spark application which takes data from GCS and
transforms them and saves them again into some other GCS bucket.
I am trying to run this application for different ids using a spark cluster
in google's dataproc and just tweaking the default configuration to use a
Hi All,
If i have to update a record in partition using spark, do i have to read
the whole partition and update the row and overwrite the partition?
Is there a way to only update 1 row like DBMS. Otherwise 1 row update takes
a long time to rewrite the whole partition ?
Thanks
Sunil
On Sat, 16 May 2020, 22:34 Punna Yenumala, wrote:
>
sh
Thanks
Sunil
Ankit
Can you try reducing number of cores or increasing memory. Because with
below configuration your each core is getting ~3.5 GB. Otherwise your data
is skewed, that one of cores is getting too much data based key.
spark.executor.cores 6 spark.executor.memory 36g
On Sat, Sep 7, 2019 at 6:35
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Can you use partitioning ( by day ) ? That will make it easier to drop
data older than x days outside streaming job.
Sunil Parmar
On Wed, Mar 14, 2018 at 11:36 AM, Lian Jiang <jiangok2...@gmail.com> wrote:
> I have a spark structured streaming job which dump data into a parqu
I experienced the below two cases when unpersisting or destroying broadcast
variables in pyspark. But the same works good in spark scala shell. Any clue
why this happens ? Is it a bug in pyspark?
***Case 1:***
>>> b1 = sc.broadcast([1,2,3])
>>> b1.value
[1, 2, 3]
>>> b1.destroy()
We use Impala to access parquet files in the directories. Any pointers on
achieving at least once semantic with spark streaming or partial files ?
Sunil Parmar
On Fri, Mar 2, 2018 at 2:57 PM, Tathagata Das <tathagata.das1...@gmail.com>
wrote:
> Structured Streaming's file si
to deal with
partial files by writing .tmp files and renaming them as the last step. We
only commit offset after rename is successful. This way we get at least
once semantic and partial file write issue.
Thoughts ?
Sunil Parmar
On Wed, Feb 28, 2018 at 1:59 PM, Tathagata Das <tathagata.d
.
Is there a way we can make spark job to use the port assigned by Marathon
instead of Spark job picking the configuration from the Checkpoint?
--
Thanks,
Sunil
.
Is there a way we can make spark job to use the port assigned by Marathon
instead of Spark job picking the configuration from the Checkpoint?
Please let me know if you need any information.
Thank you,
Sunil
Hi,
I am using spark 1.6 to load a history activity dataset for last 3/4
years and write that to a parquet file partitioned by day. I am using the
following exception when the insert command is running to insert the data
onto the parquet partitions.
unds. now my recordings are much more crisp.
it is one of the lowest prices pop filters on amazon so might as well buy it,
they honestly work the same despite their pricing,", "overall": 5.0, "summary":
"good", "unixReviewTime": 1393545600, "reviewTime": "02 28, 2014"}
I am absolute new comer to spark streaming and started working on pet projects
by reading documentation. Any help and guidance is greatly appreciated.
Best Regards,Sunil Kumar Chinnamgari
Hi,
The spark-ec2 scripts are missing from spark-2.0.0-preview. Is there a
workaround available ? I tried to change the ec2 scripts to accomodate
spark-2.0.0...If I call the release spark-2.0.0-preview, then it barfs because
the command line argument : --spark-version=spark-2.0.0-preview gets
. Even if it is an intrinsic
problem with s3 (and I'm not super sure since I'm just reading this on mobile)
- it would maybe be a good thing for us to document.
On Thursday, June 9, 2016, Sunil Kumar <parvat_2...@yahoo.com> wrote:
| Holden
Thanks for your prompt reply... Any suggestions on the next
Holden
Thanks for your prompt reply... Any suggestions on the next step ? Does this
call for a new spark jira ticket or is this an issue for s3?
Thx
Hi,
I am running into SPARK-2984 while running my spark 1.6.1 jobs over yarn in
AWS. I have tried with spark.speculation=false but still see the same failure
with _temporary file missing for task_xxx...This ticket is in resolved state.
How can this be reopened ? Is there a workaround ?
thanks
Hi Prateek!
You might want to have a look at spark job server:
https://github.com/spark-jobserver/spark-jobserver
Warm regards,
Sunil Manikani.
On 25 March 2016 at 23:34, Ted Yu <yuzhih...@gmail.com> wrote:
> Do you run YARN in your production environment (and plan to run S
Hi,
I have an AWS spark EMR cluster running with spark 1.5.2, hadoop 2.6 and hive
1.0.0I brought up the spark sql thriftserver on this cluster with
spark.sql.hive.metastore version set to 1.0
When I try to connect to this thriftserver remotely using beeline packaged
with
parkSubmit$.main(SparkSubmit.scala:120)
at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
Thanks in advance.
Warm regards,
Sunil M.
regards,
Sunil M
are welcome!
Thanks in advance.
Warm regards,
Sunil M.
rebuilding spark help?
From: Fengdong Yu <fengdo...@everstring.com>
Sent: Monday, December 7, 2015 10:31 PM
To: Sunil Tripathy
Cc: user@spark.apache.org
Subject: Re: NoSuchMethodError:
com.fasterxml.jackson.databind.ObjectMapper.enable
Can you try like
to YARN.
I am looking for a feature like this but we need to get logs irrespective
of the master being YARN, MESSOS or stand-alone spark.
Warm regards,
Sunil M.
On 9 December 2015 at 00:48, Ted Yu <yuzhih...@gmail.com> wrote:
> Have you looked at the REST API section of:
I am getting the following exception when I use spark-submit to submit a spark
streaming job.
Exception in thread "main" java.lang.NoSuchMethodError:
com.fasterxml.jackson.databind.ObjectMapper.enable([Lcom/fasterxml/jackson/core/JsonParser$Feature;)Lcom/fasterxml/jackson/databind/ObjectMapper;
a example. Are there any known disadvantages
of using it?
Is there anything better available, which is used in Production environment?
Any advise is appreciated. We are using Spark 1.5.1.
Thanks in advance.
Warm regards,
Sunil M.
.
Warm regards,
Sunil
...
Warm regards,
Sunil M.
story server.
> On Sep 1, 2015 8:57 PM, "Sunil Rathee" <ratheesunil...@gmail.com> wrote:
>
>>
>> Hi,
>>
>>
>> localhost:4040 is not showing anything on the browser. Do we have to
>> start some service?
>>
>> --
>>
>>
>> Sunil Rathee
>>
>>
>>
>>
--
Sunil Rathee
Hi,
localhost:4040 is not showing anything on the browser. Do we have to start
some service?
--
Sunil Rathee
no difference.
Thanks and regards,
Sunil
--
View this message in context:
http://apache-spark-user-list.1001560.n3.nabble.com/Data-locality-with-HDFS-not-being-seen-tp24361.html
Sent from the Apache Spark User List mailing list archive at Nabble.com
I am using *updateStateByKey *to maintain state in my streaming
application, the state gets accumulated over time.
Is there a way i can delete the old state data or put a limit on the amount
of state the State Dstream can keep in the system.
Thanks,
Sunil.
rapidly. Please share your
thoughts/experience.
Thanks,
Sunil.
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