+0
For reasons I outlined in the discussion thread
https://lists.apache.org/thread/7r04pz544c9qs3gc8q2nyj3fpzfnv8oo
Mich Talebzadeh,
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, it is evident that
this approach functions more like dynamic scripts than traditional compiled
stored procedures.
HTH
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Hi,
If the underlying table changes (DDL), if I recall from RDBMSs like Oracle,
the stored procedure will be invalidated as it is a compiled object. How is
this going to be handled? Does it follow the same mechanism?
Thanks
Mich Talebzadeh,
Technologist | Architect | Data Engineer | Generative
Allocation: Spark allocates memory for the cached DataFrame.
Depending on the cluster configuration and available memory, this
allocation can take some time.
HTH
Mich Talebzadeh,
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Thanks David. I wanted to explain the difference between Package and Jar
with comments from the community on previous discussions back a few years
ago.
cheers
Mich Talebzadeh,
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-alpha versions and are not expected to
meet the same level of stability and completeness as release candidates or
final releases.
HTH
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@Wenchen Fan
Thanks for the update! To clarify, is the vote for approving a specific
preview build, or is it for moving towards an RC stage? I gather there is a
distinction between these two?
Mich Talebzadeh,
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United
rsion available for evaluation as
soon as it is feasible"
HTH
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https://en.everybo
and a its dependencies listed in maven
*HTH*
Mich Talebzadeh,
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*Disclaimer:* The information provided is c
a look at the ticket and add your comments.
Thanks
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Disclaimer: The information provided is correct to the best
hat uUsing
materialized views with Spark Structured Streaming and Change Data Capture
(CDC) is a potential solution for efficiently streaming view data updates
in this scenario. .
Mich Talebzadeh,
Technologist | Architect | Data Engineer | Generative AI | FinCrime
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view m
ilar issue or if there
are any insights into why this discrepancy exists between Spark SQL and
Hive.
Thanks
Mich Talebzadeh,
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Talebzadeh,
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*Disclaimer:* The information provided is correct to th
ed to test the Spark applications
thoroughly after a Hive upgrade, which will necessitates liaising with
Hive group as your are relying on their metdadata
Mich Talebzadeh,
Technologist | Architect | Data Engineer | Generative AI | FinCrime
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, depending on the
severity of the changes, the Hive metastore schema might change, which
could require Spark code to be updated to handle these changes in how
table metadata is represented. Is this assertion correct?
Thanks
Mich Talebzadeh,
Technologist | Architect | Data Engineer | Generative
presented in Hortonworks meet-up.
Hive on Spark Engine Versus Spark Using Hive Metastore
<https://www.linkedin.com/pulse/hive-spark-engine-versus-using-metastore-mich-talebzadeh-ph-d-/>
With regard to why I castred +1 votre for one and -1 for the other, I think
it is my prerogative how I v
it may require a number
of changes to the old scripts. Hence my concern.
As a matter of interest has anyone liaised with the Hive team to ensure
they have introduced the additional changes you outlined?
HTH
Mich Talebzadeh,
Technologist | Architect | Data Engineer | Generative AI | FinCrime
London
U
rrant the importance of carefully evaluating the
impact of changing the default behaviour.
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ht
consideration.
HTH
Mich Talebzadeh,
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*Disclaimer:* The infor
ok thanks got it
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*Disclaimer:* The infor
durability when choosing a catalog solution for production deployments. In
many cases, a combination of in-memory and disk-based catalog solutions may
offer the best balance of performance and resilience for demanding large
scale workloads.
HTH
Mich Talebzadeh,
Technologist | Architect | Data Engineer
Well, I will be surprised because Derby database is single threaded and
won't be much of a use here.
Most Hive metastore in the commercial world utilise postgres or Oracle for
metastore that are battle proven, replicated and backed up.
Mich Talebzadeh,
Technologist | Architect | Data Engineer
ng is that if I understand correctly, and I might be totally
wrong here, the internal spark catalog is a local installation of hive
metastore anyway, so I'm not sure what the catalog has to do with anything"
.I don't understand this. Do you mean a Derby database?
HTH
Mich Talebzadeh,
Technologis
with Spark applications and
libraries.
5) There seems to be some similarity with spark catalog and
Databricks unity catalog, so that may favour the choice.
HTH
Mich Talebzadeh,
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t;.. because
we support better."
Are you referring to the performance of Spark catalog (I believe it is
internal) or integration with Spark?
HTH
Mich Talebzadeh,
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<h
(if possible) to see if it indirectly
enables v2 writing with Spark 3.2.0.
HTH
Mich Talebzadeh,
Technologist | Solutions Architect | Data Engineer | Generative AI
London
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Hi Prem,
Regrettably this is not my area of speciality. I trust another colleague
will have a more informed idea. Alternatively you may raise an SPIP for it.
Spark Project Improvement Proposals (SPIP) | Apache Spark
<https://spark.apache.org/improvement-proposals.html>
HTH
Mich Tale
klaws of diminishing returns, I would not advise that either.. You can
ofcourse usse gzip for compression that may be more suitable for your needs.
HTH
Mich Talebzadeh,
Technologist | Solutions Architect | Data Engineer | Generative AI
London
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view my Linkedin profile
<https:
Sorry you have a point there. It was released in version 3.00. What version
of spark are you using?
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*Disclaimer:* The information provided is c
the library itself. However, you can have a look at this
https://github.com/apache/parquet-mr/blob/master/CHANGES.md
HTH
Mich Talebzadeh,
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+ 1 for me
It makes it more compatible with the other ANSI SQL compliant products.
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additional security
considerations.
- integration and support in the cloud
HTH
Technologist | Solutions Architect | Data Engineer | Generative AI
Mich Talebzadeh,
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https://en.e
anks
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*Disclaimer:* The information provided is cor
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*Disclaimer:* The information provided is c
Thanks Cheng for the heads up. I will have a look.
Cheers
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a Kubernetes cluster. They can include
these configurations in the Spark application code or pass them as
command-line arguments or environment variables during application
submission.
HTH
Mich Talebzadeh,
Technologist | Solutions Architect | Data Engineer | Generative AI
London
United Kingdom
view
better performance and scalability for handling larger datasets
efficiently.
Mich Talebzadeh,
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with these files systems come into
it. I will be interested in hearing more about any progress on this.
Thanks
.
Mich Talebzadeh,
Technologist | Solutions Architect | Data Engineer | Generative AI
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Hi,
Have you put this question to Databricks forum
Data Engineering - Databricks
<https://community.databricks.com/t5/data-engineering/bd-p/data-engineering>
Mich Talebzadeh,
Technologist | Solutions Architect | Data Engineer | Generative AI
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looks fine except that processing all Unicode whitespace characters might
add overhead to the parsing process, potentially impacting performance.
Although I think this is a moot point
+1
Mich Talebzadeh,
Technologist | Solutions Architect | Data Engineer | Generative AI
London
United Kingdom
Talebzadeh,
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*Disclaimer:* The information provided is correct to the best
issues brought up in the user group
and otherwise). Perhaps using a section such as the proposed "Knowledge
Sharing Hub'', may become more relevant. Moreover, the examples have to
reflect real life scenarios and conversly will be of limited use otherwise.
HTH
Mich Talebzadeh,
Technologist |
.
Mich Talebzadeh,
Dad | Technologist | Solutions Architect | Engineer
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*Disclaimer:* The information provided is correct to the best
ertain this idea. They
seem to have a well defined structure for hosting topics.
Let me know your thoughts
Thanks
<https://community.databricks.com/t5/knowledge-sharing-hub/bd-p/Knowledge-Sharing-Hub>
Mich Talebzadeh,
Dad | Technologist | Solutions Architect | Engineer
London
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be that the information
(topics) are provided as best efforts and cannot be guaranteed.
Mich Talebzadeh,
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- Databricks
<https://community.databricks.com/t5/knowledge-sharing-hub/bd-p/Knowledge-Sharing-Hub>
Mich Talebzadeh,
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+1 for me
Mich Talebzadeh,
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*Disclaimer:* The information provided is c
hat should
not be that difficult. If anyone is supportive of this proposal, let
the usual +1, 0, -1 decide
HTH
Mich Talebzadeh,
Dad | Technologist | Solutions Architect | Engineer
London
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view my Linkedin profile
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Disclaimer: The informatio
addBatch" : 37,
"commitOffsets" : 41,
"getBatch" : 0,
"latestOffset" : 0,
"queryPlanning" : 5,
"triggerExecution" : 187,
"walCommit" : 104
},
"stateOperators" : [ ],
"sources" : [ {
"description" :
+1
Mich Talebzadeh,
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*Disclaimer:* The information provided is correct to th
Splendid. Thanks Gengliang
Mich Talebzadeh,
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*Disclaimer:* The information pr
Hi all,
On this ticket, improve Spark Dynamic Allocation
<https://issues.apache.org/jira/browse/SPARK-44951>
I see no movement since it was opened back in August 2023
I may be wrong of course
Mich Talebzadeh,
Dad | Technologist | Solutions Architect | Engineer
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ly working with the filtered dataset, representing
the partitions that would have hypothetically succeeded.
HTH
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ed reboots for
whatever reason. Look at the host logs or run /usr/bin/dmesg to see what
happened..
Good luck
Mich Talebzadeh,
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clearer for
everyone at first glance.
Cheers
Mich Talebzadeh,
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*Disclaimer:
checks: Implement data validation checks after processing
to identify potential duplicates or missing data.
HTH
Mich Talebzadeh,
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ds additional
processing overhead but can ensure data integrity.
HTH
Mich Talebzadeh,
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*Disclaimer:* The information
ira/browse/SPARK-24815>
This will ensure everyone involved can benefit from your team's expertise
and facilitate further collaboration.
Thanks
Mich Talebzadeh,
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tps://issues.apache.org/jira/browse/SPARK-24815>
For now I have volunteered to mentor the team until a committer volunteers
to take it over. This should not be that strenuous hopefully.
Thanks
Mich Talebzadeh,
Dad | Technologist | Solutions Architect | Engineer
London
United Kingdom
view my Li
s or another alternative
proposal).
HTH
Mich Talebzadeh,
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*Disclaimer:* The inf
olved lately and would be missing a lot of
context." So we need to improvise and see how best we can drive this and
similar ones. We wait a short while for a response otherwise I am happy to
give a hand if needed and work with you guys to drive this. It is something
worthwhile.
HTH
T
Mich Taleb
+1 for me
Mich Talebzadeh,
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*Disclaimer:* The information provided is c
d give technical justifications.
OK a shepherd from PMC members is required. Maybe Jungtaek Lee can kindly
help the process
cheers
Mich Talebzadeh,
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Hi Pavan,
Do you have a list of votes for this feature by any chance? Does it pass
the required condition as approved?
HTH
Mich Talebzadeh,
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I can see it was closed. Was it because of inactivity?
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Ok thanks for your clarifications
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*Disclaimer:* The infor
Np, thanks for addressing the point promptly
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*Disc
"
I would be inclined to leave that line out for now. The rest is fine.
HTH
Mich Talebzadeh,
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Hi Chao,
As a cool feature
- Compared to standard Spark, what kind of performance gains can be
expected with Comet?
- Can one use Comet on k8s in conjunction with something like a Volcano
addon?
HTH
Mich Talebzadeh,
Dad | Technologist | Solutions Architect | Engineer
London
Hi,I gather from the replies that the plugin is not currently available in
the form expected although I am aware of the shell script.
Also have you got some benchmark results from your tests that you can
possibly share?
Thanks,
Mich Talebzadeh,
Dad | Technologist | Solutions Architect
, the data
is redistributed across partitions, and each partition may process its
portion of the data independently and that makes the debugging distributed
systems challenging.
I hope that makes sense.
Mich Talebzadeh,
Dad | Technologist | Solutions Architect | Engineer
London
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view my
tition it into two partitions
(repartition(num_partitions)). Repartitioning can shuffle the data across
partitions, introducing a different order for the subsequent aggregation.
The sum operation is then performed on the data in a different order,
leading to a slightly different result from result1
The full code is available from the link below
https://github.com/michTalebzadeh/Event_Driven_Real_Time_data_processor_with_SSS_and_API_integration
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the columns in your PySpark DataFrame
to the corresponding columns in the Snowflake table during the write
operation. This can help avoid any implicit mappings that might be causing
issues.
1.
HTH
Mich Talebzadeh,
Dad | Technologist | Solutions Architect | Engineer
London
United Kingdom
esktop>
HTH,
Mich Talebzadeh,
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*Disclaimer:* Use it at your own ri
. If downstream tools or processes expect data in a specific
format, the serialized format may require additional processing or
conversion, impacting compatibility.
HTH
Mich Talebzadeh,
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<ht
I don't think adding this to the streaming flow (at micro level) will be
that useful
However, this can be added to Spark UI as an enhancement to the Streaming
Query Statistics page.
HTH
Mich Talebzadeh,
Dad | Technologist | Solutions Architect | Engineer
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view my
. Whilst the proposed
enhancements offer valuable insights into the behavior of Structured
Streaming, we ought to think about the potential downsides, particularly in
terms of increased verbosity, complexity, and the impact on user experience
HTH
Mich Talebzadeh,
Dad | Technologist | Solutions Architect
Hi Alex,
Well, that is just Justin's opinion vis-à-vis his matter. It is different
from mine. Bottom line, you can always refer to Oracle or a copyright
expert on this matter and see what they suggest.
HTH
Mich Talebzadeh,
Dad | Technologist | Solutions Architect | Engineer
London
United Kingdom
ontravened Spark references as in [1] in
- spark <https://github.com/apache/spark/tree/master>
- /sql <https://github.com/apache/spark/tree/master/sql>
- /core <https://github.com/apache/spark/tree/master/sql/core>
/pom.xml
HTH
Mich Talebzadeh,
Dad | Technologist | Solutions Architec
Ok I made a request to access this document
Thanks
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Ent
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hanged since then please?
Are you implying if this doc is still relevant?
HTH
Mich Talebzadeh,
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Everyone's vote matters whether they are PMC or not. There is no monopoly
here
HTH
Mich Talebzadeh,
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+1 for me (non binding)
*Disclaimer:* Use it at your own risk. Any and all responsibility for any
loss, damage or destruction of data or any other property which may arise
from relying on this email's technical content is explicitly disclaimed.
The author will in no case be liable for any
I think we have discussed this enough and I consider it as a useful
feature.. I propose a vote on it.
+ 1 for me
Mich Talebzadeh,
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ements.
Cheers
Mich Talebzadeh,
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*Disclaimer:* Use it at your own risk.
Hi,
Please stop this acknowledgement email. It is spamming the forum
unnecessarily!
Thanks
Mich Talebzadeh,
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+1 for me as well
Mich Talebzadeh,
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*Disclaimer:* Use it at your own ris
and performance of your Flask application.
HTH
Mich Talebzadeh,
Dad | Technologist | Solutions Architect | Engineer
London
United Kingdom
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*Disclaimer:* Use it at yo
yone's benefit. Hopefully your comments will
help me to improve it.
Cheers
Mich Talebzadeh,
Dad | Technologist | Solutions Architect | Engineer
London
United Kingdom
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Talebzadeh,
Dad | Technologist | Solutions Architect | Engineer
London
United Kingdom
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*Disclaimer:* Use it at your own risk. Any and all responsibility f
on the processing time is crucial
- Implementing mechanisms for graceful scaling operations, avoiding
abrupt changes, can contribute to a smoother user experience.
I do not know whether some of these points are already considered in your
proposal?
HTH
Mich Talebzadeh,
Dad | Technologist
don't have
access to the actual data.
In summary
- Theis method validates syntax but will not catch semantic errors
- If you need more comprehensive validation, consider using a testing
framework and a small dataset.
- For complex queries, using a linter or code analysis tool ca
proceed
with the earliest available data, minimizing the impact of speculative
execution on job completion time which is another important factor.
HTH
Mich Talebzadeh,
Dad | Technologist | Solutions Architect | Engineer
London
United Kingdom
view my Linkedin profile
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of statistic
Mich Talebzadeh,
Distinguished Technologist, Solutions Architect & Engineer
London
United Kingdom
view my Linkedin profile
<https://www.linkedin.com/in/mich-talebzadeh-ph-d-5205b2/>
https://en.everybodywiki.com/Mich_Talebzadeh
*Disclaimer:* Use it at your own risk. A
to enable the CBO, or false to
disable it.
-
spark.sql.cbo.strategy: Set to AUTO to use the CBO as the default
optimizer, or NONE to disable it completely.
HTH
Mich Talebzadeh,
Distinguished Technologist, Solutions Architect & Engineer
London
United Kingdom
view my Linkedin pro
Thanks Zhou for your response to my points raised (private communication)
If we start with a base model and cluster, minimal footprint for the tool, then
we can establish the operational parameters needed. So +1 for me too.
HTH
view my Linkedin profile
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bea static image (docker file)? Other alternative would be that this
docker file is created by the user through set of scripts?
These are the things that come into my mind.
HTH
Mich Talebzadeh,
Distinguished Technologist, Solutions Architect & Engineer
London
United Kingdom
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