gt;
> Thanks for your help team,
> Marco.
>
> On Wed, Apr 26, 2023 at 6:21 AM Mich Talebzadeh
> wrote:
>
>> Indeed very valid points by Ayan. How email is going to handle 1000s of
>> records. As a solution architect I tend to replace. Users by customers and
>> for ea
instead, I suggest to use a
> notification service or function. Spark should write to a queue (kafka,
> sqs...pick your choice here).
>
> Best regards
> Ayan
>
> On Wed, 26 Apr 2023 at 7:01 pm, Mich Talebzadeh
> wrote:
>
>> Well OK in a nutshell you want the result se
of the first ETL. How does this
differ from using forEach? Performance wise forEach may not be optimal.
Can you take the sample tables and try your method?
HTH
Mich Talebzadeh,
Lead Solutions Architect/Engineering Lead
Palantir Technologies Limited
London
United Kingdom
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1|
|Mich| 50004| Mich's 4th order|104.11| 104.11|
|Mich| 50005| Mich's 5th order|105.11| 105.11|
|Mich| 50006| Mich's 6th order|106.11| 106.11|
|Mich| 50007| Mich's 7th order|107.11| 107.11|
|Mich| 50008| Mich's 8th order|108.11| 108.11|
|Mich| 50009| Mich's 9th order|109
as comma separated csv file
HTH
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*Disclaimer
Have you thought of using windowing function
<https://sparkbyexamples.com/spark/spark-sql-window-functions/>s to
achieve this?
Effectively all your information is in the orders table.
HTH
Mich Talebzadeh,
Lead Solutions Architect/Engineering Lead
Palantir Technologies Limited
London
Hi,
What exactly are you trying to achieve? Spark on GKE works fine and you can
run Datapoc now on GKE
https://www.linkedin.com/pulse/running-google-dataproc-kubernetes-engine-gke-spark-mich/?trackingId=lz12GC5dRFasLiaJm5qDSw%3D%3D
Unless I misunderstood your point.
HTH
Mich Talebzadeh,
Lead
*spark-on-aws *in
http://sparkcommunitytalk.slack.com/
HTH
Mich Talebzadeh,
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Thanks! I will have a look.
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London
United Kingdom
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*Disclaimer
Is that a correct assumption?
Thanks
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*
Hi Lingzhe Sun,
Thanks for your comments. I am afraid I won't be able to take part in this
project and contribute.
HTH
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is more suitable (as of now) for batch jobs than
Spark Structured Streaming.
https://issues.apache.org/jira/browse/SPARK-12133
Mich Talebzadeh,
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Structured Streaming is supported on
k8s.
HTH
Mich Talebzadeh,
Lead Solutions Architect/Engineering Lead
Palantir Technologies
London
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*
Do you have a high level diagram of the proposed solution?
In so far as I know k8s does not support spark structured streaming?
Mich Talebzadeh,
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Palantir Technologies
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United Kingdom
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Hi Rajesh,
What is the use case for Kinesis here? I have not used it personally, Which
use case it concerns
https://aws.amazon.com/kinesis/
Can you use something else instead?
HTH
Mich Talebzadeh,
Lead Solutions Architect/Engineering Lead
Palantir Technologies
London
United Kingdom
view
tps://cloud.google.com/container-registry>r and ecr
<https://docs.aws.amazon.com/AmazonECR/latest/userguide/Registries.html>
(container registries)
HTH
Mich Talebzadeh,
Lead Solutions Architect/Engineering Lead
Palantir Technologies
London
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<https://w
OK Spark Structured Streaming.
How are you getting messages into Spark? Is it Kafka?
This to me index that the message is incomplete or having another value in
Json
HTH
Mich Talebzadeh,
Lead Solutions Architect/Engineering Lead
Palantir Technologies
London
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s not the best solution or is it
> just that the link does not work.
>
> tir. 4. apr. 2023 kl. 09:06 skrev Mich Talebzadeh <
> mich.talebza...@gmail.com>:
>
>> Hi Shani,
>>
>> I believe I am an admin so that is fine by me.
>>
>> Hi Dongioon,
>>
>
Hi Shani,
I believe I am an admin so that is fine by me.
Hi Dongioon,
With regard to summarising the discussion etc, no need, It is like flogging
the dead horse, we have already discussed it enough. I don't see the point
of it.
HTH
Mich Talebzadeh,
Lead Solutions Architect/Engineering Lead
I agree, whatever individual sentiments are.
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*Disclaimer
I for myself prefer to use the newly formed slack.
sparkcommunitytalk.slack.com
In summary, it may be a good idea to take a tour of it and see for
yourself. Topics are sectioned as per user requests.
I trust this answers your question.
Mich Talebzadeh,
Lead Solutions Architect/Engineering Lead
-in-spark/#:~:text=Broadcast%20join%20is%20an%20optimization,always%20collected%20at%20the%20driver
.
HTH
Mich Talebzadeh,
Lead Solutions Architect/Engineering Lead
Palantir Technologies Limited
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sqlContext.sql("JOIN Query").show
If you prefer to broadcast the reference data, you must first collect
it on the driver before you broadcast it. This requires that your RDD
fits in memory on your driver (and executors).
You can then play around with that join.
HTH
Mich Talebzadeh,
L
This may help
Spark rlike() Working with Regex Matching Example
<https://sparkbyexamples.com/spark/spark-rlike-regex-matching-examples/>s
Mich Talebzadeh,
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ection.
HTH
Mich Talebzadeh,
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*Disclaimer:* Use it at your own risk. Any and all re
yes history refers to completed jobs. 4040 is the running jobs
you should have screen shots for executors and stages as well.
HTH
Mich Talebzadeh,
Lead Solutions Architect/Engineering Lead
Palantir Technologies Limited
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Are you familiar with spark GUI default on port 4040?
have a look.
HTH
Mich Talebzadeh,
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Is this purely for performance consideration?
Mich Talebzadeh,
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*Disclaimer
can coexist happily. On a more serious
note, when I joined the user group back in 2015-2016, there was a lot of
traffic. Currently we hardly get many mails daily <> less than 5. So having
a slack type medium may improve members participation.
so +1 for me as well.
Mich Talebzadeh,
Lead Sol
. Unless there is an overriding reason, we should
embrace it as slack can co-exist with the other mailing lists and channels
like linkedin etc.
Hope this clarifies my position
Mich Talebzadeh,
Lead Solutions Architect/Engineering Lead
Palantir Technologies Limited
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<ht
Hi Dongjoon,
Thanks for your point.
I gather you are referring to archive as below
https://lists.apache.org/list.html?user@spark.apache.org
Otherwise, correct me.
Thanks
Mich Talebzadeh,
Lead Solutions Architect/Engineering Lead
Palantir Technologies Limited
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The ownership of slack belongs to spark community
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*Disclaimer
We already have it
general - Apache Spark Community - Slack
<https://app.slack.com/client/T04URTRBZ1R/C0501NBTNQG/thread/C050F0J5YNA-1680070839.296179>
Mich Talebzadeh,
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https://join.slack.com/t/sparkcommunitytalk/shared_invite/zt-1rk11diac-hzGbOEdBHgjXf02IZ1mvUA
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Hi Bjorn,
you just need to create an account on slack and join any topic I believe
HTH
Mich Talebzadeh,
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sers.
-- Spark internals and/or comparing spark 3 and 2
-- Spark Streaming & Spark Structured Streaming
-- Spark on notebooks
-- Spark on serverless (for example Spark on Google Cloud)
-- Spark on k8s
If you are willing to contribute to presentation materials, please register
your interest in slack/webinar
I created one at slack called pyspark
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*Disclaimer:* Use it a
\
.
--conf "spark.driver.memory"=4G \
--conf "spark.executor.memory"=4G \
--conf "spark.num.executors"=4 \
--conf "spark.executor.cores"=2 \
HTH
Mich Talebzadeh,
Lead Solutions Architect/Engineering Lead
Pa
Hi,
Are you talking about intelligent index scan here?
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*Disc
or download it from here
https://pages.databricks.com/rs/094-YMS-629/images/LearningSpark2.0.pdf
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or @Denny Lee
an email stating which topic and at what level you
would like to take part. We propose to do a peer review of the draft
presentation so no worries.
Looking forward to hearing from you.
HTH
Mich Talebzadeh,
Lead Solutions Architect/Engineering Lead
Palantir Technologies Limited
Hi Karan,
The version tested was 3.1.1. Are you running on Dataproc serverless 3.1.3?
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Understood Nitin It would be wrong to act against one's conviction. I am
sure we can find a way around providing the contents
Regards
Mich Talebzadeh,
Lead Solutions Architect/Engineering Lead
Palantir Technologies Limited
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there as well.
Best of luck.
Mich Talebzadeh,
Lead Solutions Architect/Engineering Lead,
Palantir Technologies Limited
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*Disclaimer:* Use it at your own risk. Any a
and
contributions are welcome.
HTH
Mich Talebzadeh,
Lead Solutions Architect/Engineering Lead,
Palantir Technologies Limited
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e, defined by Spark GUI as Time taken to process all jobs of a batch.
*The **Scheduling Dela*y and *the **Total Dela*y are additional indicators
of health.
then decide how to set the value.
HTH
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What benefits are you going with increasing parallelism? Better througput
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Hi Denny,
That Apache Spark Linkedin page
https://www.linkedin.com/company/apachespark/ looks fine. It also allows a
wider audience to benefit from it.
+1 for me
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Well that needs to be created first for this purpose. The appropriate name
etc. to be decided. Maybe @Denny Lee can
facilitate this as he offered his help.
cheers
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to is welcome
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Hi guys
To move forward I selected these topics from the thread "Online classes for
spark topics".
To take this further I propose a confluence page to be seup.
Opinions and how to is welcome
Cheers
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page for Spark so we can use it. I guess that would
be part of the structure you mentioned.
HTH
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*Disclaimer:* Use it at your own risk. Any and all responsi
\
outputMode('complete'). \
option("numRows", 1000). \
option("truncate", "false"). \
format('console'). \
option('checkpointLocation', checkpoint_path). \
queryName
and
processors across multiple executors on multiple nodes.
HTH
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*Disclaimer:* Use it at your own risk. Any and all responsibility for any
loss, damage or destr
... To note that if I execute collectAsList on the dataset at the beginning
of the program
What do you think collectAsList does?
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*Disclaimer
.withColumnRenamed('sum(sentOctets)', 'sentOctets') \
.withColumnRenamed('sum(recvdOctets)', 'recvdOctets') \
.fillna(0)
What does ldf.printSchema() returns
HTH
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http
for your dataproc what type of machines are you using for example
n2-standard-4 with 4vCPU and 16GB or something else? how many nodes and if
autoscaling turned on.
most likely executor memory limit?
HTH
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rk.csv").option("inferSchema",
"true").option("header", "true").load(csv_file)
listing_df.printSchema()
HTH
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Does this need any action in PySpark?
How about importing using the shutil package?
https://sparkbyexamples.com/python/how-to-copy-files-in-python/
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needs to be
preserved.
HTH
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a draft list of topics of interest and share them in
the forum to get the priority order.
Well that is my thoughts.
Cheers
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*Disclaimer:* Use it at yo
Hi,
I guess I can schedule this work over a course of time. I for myself can
contribute plus learn from others.
So +1 for me.
Let us see if anyone else is interested.
HTH
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.
Anyone else 樂
HTH
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m on
the case so to speak. There is a considerable interest in Spark Structured
Streaming across the board, especially in trading systems.
HTH
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*Disclaimer:* Use it a
) are default but can be negotiated with the vendor.to
increase it.
What facts have you established so far?
HTH
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*Disclaimer:* Use it at your own risk. Any a
9 ERROR streaming.MicroBatchExecution: Query newtopic
[id = 19f4c6ad-11b8-451f-acf1-8bfbea7c370b, runId =
dd26db7d-f4bf-4176-ae75-116eb67eb237] terminated with error
HTH
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Use it at your own risk. Any and all responsibility for any
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The author will in no case be liable for any monetary damages arising from
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ig['MDVariables']['targetTable'])
df.unpersist()
#print(f"""wrote to DB""")
batchidMD = batchId
print(batchidMD)
else:
print("DataFrame md is empty")
I trust I explained it adequately
cheers
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Thanks. they are different batchIds
>From sendToControl, newtopic batchId is 76
>From sendToSink, md, batchId is 563
As a matter of interest, why does a global variable not work?
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tion sendToControl(dfnewtopic, batchId2) so I can print it out.
Defining a global did not work.. So it sounds like I am missing something
rudimentary here!
Thanks
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ication. I have tried to
make it generic. However, trademarks are acknowledged . I have tried not to
use color but I guess pointers are fair.
Let me know your thoughts.
Regards
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Hi,
What is the spark version and what type of cluster is it, spark on dataproc
or other?
HTH
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Hi,
Can someone disable the below login from spark forums please?
Sounds like someone left this email and we are receiving a spam type
message anytime we respond.
thanks
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sounds like it is cosmetric. The important point is that if the data stored
in GBQ is valid?
THT
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considered?
Why were they rejected? If no alternatives have been considered, the
problem needs more thought.*
HTH
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Hi Nidhi,
can you create a BigQuery table with a bignumeric and numeric column
types, add a few lines and try to read into spark. through DF
and do
df.printSchema()
df.show(5,False)
HTH
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Hi,
What version of Spark and how are you are writing to GBQ table?
Is the source column in ETL has NUMERIC(38) say coming from Oracle?
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t;
}
Cloud service account keys do not expire and require manual rotation.
Exporting service account keys has the potential to expand the scope of a
security breach if it goes undetected. If an exported key is stolen, an
attacker can use it to authenticate as that service account until noticed
and ma
442-one-good-test-is-worth-a-thousand-expert-opinions>
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Hi Dongjoon.,
This was an oversight from my side. I confused your involvement with docker
build stuff.
HTH
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/list.html?d...@spark.apache.org
Thanks.
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On Wed, 15 Feb 2023 at 21:17, karan alang wrote:
> thnks, Mich .. let me check this
>
>
>
> On Wed, Feb 15, 2023 at 1:42 AM Mich Talebzadeh
> wrote:
>
>>
>
It may help to check this article of mine
Spark on Kubernetes, A Practitioner’s Guide
<https://www.linkedin.com/pulse/spark-kubernetes-practitioners-guide-mich-talebzadeh-ph-d-/?trackingId=FDQORri0TBeJl02p3D%2B2JA%3D%3D>
HTH
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gs not s3
There is no point putting your python file in the docker image itself!
HTH
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Hi Sam,
I am curious to know the business use case for this solution if any?
HTH
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eateOrReplaceTempView("temp")
## do your distinct columns using windowing functions on temp table with SQL
HTH
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on file system and polling
> periodically to stop running query.
>
> Thanks,
>
> Yoel
>
>
>
> --
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-- Forwarded message -
From: Mich Talebzadeh
Date: Thu, 6 May 2021 at 20:07
Subject: Re: Graceful shutdown SPARK Structured Streaming
To: ayan guha
Cc: Gourav Sengupta , user @spark <
user@spark.apache.org>
That is a valid question and I am not aware of any new ad
if you have several nodes with only one node having GPUs, you still have to
wait for the result set to complete. In other words it will be as fast as
the lowest denominator ..
my postulation
HTH
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you may be able to do so in Python or SCALA but I don't know
the way in pure SQL.
if your JDBC database is Hive you can do so easily
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?
How do you verify if it exists? Can you share the code and the doc link?
HTH
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Hi,
Identify the cause of the shuffle. Also how are you using HDFS here?
https://community.cloudera.com/t5/Support-Questions/Spark-Metadata-Fetch-Failed-Exception-Missing-an-output/td-p/203771
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Sure, I suggest that you add a note to that Jira and express your interest.
HTH
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proc/docs/concepts/configuring-clusters/autoscaling#autoscaling_and_spark_streaming>like
Google Dataproc does not support Spark Structured Streaming either
HTH
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ls:
[keyword#226, occurence#227L], Partition Cols: []]*
`data.group` with quotes is neither the name of the column or its alias
*HTH*
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of health. Do you have
these stats for both versions?
cheers
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loss,
3.3,.1 excels in detail. For that
you need to look at the Spark GUI matrix.
HTH
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