.com/beyond-pandas-spark-dask-vaex-and-other-big-data-technologies-battling-head-to-head-a453a1f8cc13>.
>
>
>
> *
>
> There are many important features missing that are
> very common in data science.
ase vote on the SPIP for the next 72 hours:
>
> [ ] +1: Accept the proposal as an official SPIP
> [ ] +0
> [ ] -1: I don’t think this is a good idea because …
>
>
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>
> --
>
> Twitter: https://twitter.com/holdenkarau
>
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>
> Books (Learning Spark, High Performance Spark,
> etc.): https://amzn.to/2MaRAG9
>
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>
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> <https://twitter.com/holdenkarau>
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> etc.): https://amzn.to/2MaRAG9 <https://amzn.to/2MaRAG9>
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> <https://www.youtube.com/user/holdenkarau>
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The author will in no case be liable for any monetary
> damages arising from such loss, damage or destruction.
>
>
>
>
>
> On Mon, 16 Aug 2021 at 18:46, Maciej <mailto:mszymkiew...@gmail.com>> wrote:
>
> I have a few concerns regarding PySpark and SparkR im
e ASF
archives?
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Hi All,
Just wondering ‒ would it make sense to add .github/FUNDING.yml with
custom link pointing to one (or both) of these:
* https://www.apache.org/foundation/sponsorship.html
* https://www.apache.org/foundation/contributing.html
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Web: https://zero323
ct
>
> On Wed, Dec 15, 2021, 8:34 AM Maciej wrote:
>
> Hi All,
>
> Just wondering ‒ would it make sense to add
> .github/FUNDING.yml with custom link pointing to one (or both)
> of these:
>
> * https://www.apache.org/found
Hi everyone,
FYI ‒ thanks to good folks from conda-forge we have now these:
* https://github.com/conda-forge/r-sparkr-feedstock
* https://anaconda.org/conda-forge/r-sparkr
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Description
mn` and `select` methods and
> the expected output.
>
> I'm sharing this here in case you feel like this approach can be
> useful for anyone else. In our case it greatly sped up the
> development of abstraction layers and allowed us to write cleaner
> code. One of the advantages is that it would simply be a "plugin"
> over pyspark, that does not modify anyhow already existing code or
> application interfaces.
>
> If you think that this can be helpful, I can write a PR as a more
> refined proof of concept.
>
> Thanks!
>
> Pablo
>
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On 12/29/21 16:18, Pablo Alcain wrote:
> Hey Maciej! Thanks for your answer and the comments :)
>
> On Wed, Dec 29, 2021 at 3:06 PM Maciej <mailto:mszymkiew...@gmail.com>> wrote:
>
> This seems like a lot of trouble for not so common use case that has
> vi
impact compatibility should be worked on
> immediately. Everything else please
> retarget to an appropriate release.
> == But my bug isn't
> fixed? == In order to
> make timely releases, we will typically
> not hold the release unless the bug in
> question is a regression from the
> previous release. That being said, if
> there is something which is a regression
> that has not been correctly targeted
> please ping me or a committer to help
> target the issue.
>
>
>
> --
> Bjørn Jørgensen
> Vestre Aspehaug 4, 6010 Ålesund
> Norge
>
> +47 480 94 297
>
>
>
> --
> Bjørn Jørgensen
> Vestre Aspehaug 4, 6010 Ålesund
> Norge
>
> +47 480 94 297
>
>
>
> --
> Bjørn Jørgensen
> Vestre Aspehaug 4, 6010 Ålesund
> Norge
>
> +47 480 94 297
>
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file in a specific module.
>
> I would really appreciate any suggestion or comment.
>
>
> Best regards,
>
> Fangjia Shen
>
> Purdue University
>
>
>
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here are any remaining works for Spark
> 3.3, and switch to QA mode, cut a branch and keep everything on track. I
> would like to volunteer to help drive this process.
>
> Best regards,
> Max Gekk
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wrote:
> >> > >> >>
> >> > >> >> Let me clarify my above suggestion. Maybe
> we can wait 3 more days to collect the list of
> actively developed PRs th
quot; in
> many places when we: import pyspark.pandas as ps.
> This is similar to "Structured Streaming" in JIRA, and "SS" in PR title.
>
> I think it'd be easier to track the changes here with that.
> Currently it's a bit difficult to
> > >>>>> The Spark PMC
> > >
> > >
> > >
> > > --
> > > Takuya UESHIN
> > >
> >
> >
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Is it possible to create a map by specifying the key-value type explicitly?
So far, I came up with a workaround using map('', '') to initialise the
map for string key-value and using map_filter() to exclude/remove the
redundant map('', '') key-value item:
engliang
-
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au>
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y Process A. How can
I achieve that?
I've
tried
pyspark.sql.SparkSession.builder.appName("spark").getOrCreate(), but it will
create a new spark context.
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r Py4j for
that matter) so don't do it unless you fully understand the implications
(including, but not limited to, risk of leaking the token). Use this
approach at your own risk.
On 12/13/22 03:52, Kevin Su wrote:
Maciej, Thanks for the reply.
Could you share an example to achi
so the release can happen twice
every year regardless of the actual release date.
I believe it both makes the release cadence predictable, and
relaxes the burden about making releases.
WDYT?
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here? I'm glad to work with whomever to help manage the
various aspects of Slack (code of conduct, linen.dev
<http://linen.dev> and search/archive process, invite
management, etc.).
HTH!
Denny
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On 4/6/23 17:13, Denny Lee wrote:
Thanks Dongjoon, but I don't think this is misleading insofar that
this is not a /self-service process/ but an invite process which
admittedly I did not state explicitly i
and all of us.
--
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On 4/7/23 21:02, Bjørn Jørgensen wrote:
Yes, I have done some search for slack alternatives
<https://itsfoss.com/open-source-slack-alternative/>
I feel that we should do some search, to find if there can be a
better solution than slack.
For what I have found, th
survived while none is particularly active,
as far as I'm aware. Taking responsibility for more clients, without
being sure that we have resources to maintain them and there is enough
community around them to make such effort worthwhile, doesn't seem like
a good idea.
--
Be
Weren't some of these functions provided only for compatibility and
intentionally left out of the language APIs?
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On 5/25/23 23:21, Hyukjin Kwon wrote:
I don't think it'd be a release blocker .. I think we can implement
them across multiple releases.
onnect is, it is not exactly a replacement
for many existing deployments. Furthermore, it doesn't make extending
Spark much easier and the current ecosystem is, subjectively speaking, a
bit brittle.
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On 5/26/23 07:26, Martin Grund wrote:
Thanks everyone for your fe
tending Spark functionality while using Spark Connect,
effectively limiting the target audience for any 3rd party library.
> Martin > > > On Fri, May 26, 2023 at 5:39 PM Maciej
> wrote: > > It might be a good idea to have a
discussion about how new connect > cli
extensible or
customizable sources, in case there is such a need.
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On 6/20/23 05:19, Hyukjin Kwon wrote:
Actually I support this idea in a way that Python developers don't
have to learn Scala to write their own s
then, -1 for the following reasons:
- Relevant ASF policy seems to say this is fine, as argued at
https://lists.apache.org/thread/p15tc772j9qwyvn852sh8ksmzrol9cof
- There is no argument any of this has caused a problem for
the community anyway; there is just nothing to &#
+1
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On 6/21/23 17:35, Holden Karau wrote:
A small request, it’s pride weekend in San Francisco where some of the
core developers are and right before one of the larger spark related
conferences so more folks
sources through 3rd party FDWs?
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On 6/20/23 16:23, Wenchen Fan wrote:
In an ideal world, every data source you want to connect to already
has a Spark data source implementation (either v1 or v2), then this
Python API is
experience in terms of reliability and execution cost.
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Maciej Szymkiewicz
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On 6/24/23 23:42, Martin Grund wrote:
Hey,
I would like to express my strong support for Python Data Sources even
though they might not be immediately as powerful as
+0
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On 7/6/23 17:41, Xiao Li wrote:
+1
Xiao
Hyukjin Kwon 于2023年7月5日周三 17:28写道：
+1.
See https://youtu.be/yj7XlTB1Jvc?t=604 :-).
On Thu, 6 Jul 2023 at 09:15, Allison Wang
wrote:
Hi all
That's a great idea, as long as we can keep additional dependencies
under control.
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On 7/19/23 18:22, Franco Patano wrote:
+1
Many people have struggled with incorporating this separate library
into their
+1
Best regards,
Maciej Szymkiewicz
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On 7/29/23 11:28, Mich Talebzadeh wrote:
+1 for me.
Though Databriks did a good job releasing the code.
GitHub - databricks/spark-xml: XML data source for Spark SQL and
DataFrames <https://github.
eptable within the project. Ideally, with an official opinion from
the ASF as the copyright owner.
WDYT All? Shall we start a separate discussion?
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On 8/3/23 18:33, Haejoon Lee wrote:
Additional information:
Please c
he tooling used to
create the contribution. This should be included as a token in the
source control commit message, for example including the phrase
“Generated-by: ”.'
and consider adjusting PR template / merge tool accordingly.
Best regards,
Maciej Szymkiewicz
Web:https://
+1
Best regards,
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On 9/26/23 17:12, Michel Miotto Barbosa wrote:
+1
A disposição | At your disposal
Michel Miotto Barbosa
https://www.linkedin.com/in/michelmiottobarbosa/
mmiottobarb...@gmail.com
+55 11 984 342 347
On Tue
oing so I've noticed that all the methods that aren't in the pyi file
> are *unable to be called from other python files*. I was unaware of
> this effect of the pyi files. As soon as you create the files, all the
> methods are shielded from external access. Feels like going b
in the discussion
Pandas didn't type check and had no clear timeline for advertising
annotations.
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se, just my excitement to see this happen. Any action
> points that we can define and that I can help on? I'm fine with taking
> the route that Hyukjin suggests :)
>
> Cheers, Fokko
>
> Op do 27 aug. 2020 om 18:45 schreef Maciej <mailto:mszymkiew...@gmail.com>>:
In short term there are also some upstream changes that haven't been
reflected in stubs master...
On 8/27/20 10:24 PM, Driesprong, Fokko wrote:
> . Any action points that we can define and that I can help on? I'm
> fine with taking the route that Hyukjin suggests :)
>
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just anecdotal evidence, most of the SparkR applications
I've seen out there, already use magrittr.
Non-goals:
* Supporting non-standard evaluation.
Thanks in advance for your input.
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ween rlang 0.4.7 and 0.4.8
(previous run with 0.4.7
https://ci.appveyor.com/project/ApacheSoftwareFoundation/spark/builds/35630069),
but is there any reason why we seem to default to i386
(https://github.com/apache/spark/blob/c5f6af9f17498bb0ec393c16616f2d99e5d3ee3d/dev/appveyor-install-dependencies.ps1#L22)
for R i
uot;. Can you
> open a PR to change?
>
> 2020년 10월 9일 (금) 오전 4:36, Maciej <mailto:mszymkiew...@gmail.com>>님이 작성:
>
> Hi Everyone,
>
> I've been digging into AppVeyor test failures for
> https://github.com/apache/spark/pull/29978
>
>
>
on, and R
> functions, without requiring maintainers to write tests for each
> language's version of the functions. Would that address the
> maintenance burden?
With R we don't really test most of the functions beyond the simple
"callability". One the complex
function, whereas in SQL/Python they are just one. There's a
> limit on how many functions we can add, and it also makes it
> difficult to browse through the docs when there are a lot of
> functions.
>
>
>
> On Thu, Jan 28, 2021 at
+1
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On 4/15/24 8:16 PM, Rui Wang wrote:
+1, non-binding.
Thanks Dongjoon to drive this!
-Rui
On Mon, Apr 15, 2024 at 10:10 AM Xinrong Meng wrote:
+1
Thank you @Dongjoon Hyun <mailto:dongjoo
+1
Best regards,
Maciej Szymkiewicz
Web:https://zero323.net
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On 4/25/24 6:21 PM, Reynold Xin wrote:
+1
On Thu, Apr 25, 2024 at 9:01 AM Santosh Pingale
wrote:
+1
On Thu, Apr 25, 2024, 5:41 PM Dongjoon Hyun
wrote:
FYI, there is a proposal to drop
nd Spark to take a look at my
> proposal and share their opinion from their own component's perspective. If
> we get on the same page I'll eventually open Jiras to cover this
> improvement for each mentioned systems.
>
> Cheers,
> Gabor
>
>
>
>
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Maciej
lanned defaultEvaluator was the primary reason to use such
annotation there.
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well?
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rt next January
> (https://spark.apache.org/versioning-policy.html),
> I'm +1 for the deprecation (Python < 3.6)
> at Apache Spark 3.0.0.
>
> It's just a deprec
ndard)
>
> We should still add PostgreSQL features that Spark doesn't have, or
> Spark's behavior violates SQL standard. But for others, let's just
> update the answer files of PostgreSQL tests.
>
> Any comments are welcome!
>
> Thanks,
> Wenchen
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> (This can be used in GitHub Action Jobs and Jenkins K8s
> Integration Tests to speed up jobs and to have more stabler
> environments)
> >
> > Bests,
> > Dongjoon.
>
> -
> To unsubscribe e-mail: dev-unsubscr...@spark.apache.
; treated as private.
>
> Is this intentional? If so, what's the rationale? If not, then it
> feels like a bug and DataFrame should have some form of public access
> back to the context/session. I'm happy to log the bug but thought I
> would ask here first. Thanks!
--
to the main
> repository?
>
>
>
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>
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> Books (Learning Spark, H
e.
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sync right?
> Do you provide different stubs for different versions of Python? I had to
> look up the literals: https://www.python.org/dev/peps/pep-0586/
>
I think it is more about portability between Spark versions
>
>
> Cheers, Fokko
>
> Op wo 22 jul. 2020 om 09:40 schr
n for separate git repo?
>>
>>
>> From: Hyukjin Kwon
>> Sent: Monday, August 3, 2020 1:58:55 AM
>> To: Maciej Szymkiewicz
>> Cc: Driesprong, Fokko ; Holden Karau
>> ; Spark Dev List
>> Subject: Re: [PySpark] Revisiting PySpark type ann
/pyspark-stubs/graphs/contributors) and at
least some use cases (https://stackoverflow.com/q/40163106/). So,
subjectively speaking, it seems we're already beyond POC.
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why I asked.
>
>
>
> ----
> *From:* Maciej Szymkiewicz
> *Sent:* Tuesday, August 4, 2020 12:59 PM
> *To:* Sean Owen
> *Cc:* Felix Cheung; Hyukjin Kwon; Driesprong, Fokko; Holden Karau;
> Spark Dev List
> *Subject:* Re: [PySpark] Revisiting PySpark type annotat
Given popularity of related SO questions:
- https://stackoverflow.com/q/41670103/1560062
- https://stackoverflow.com/q/42465568/1560062
- https://stackoverflow.com/q/41670103/1560062
it is probably more "nobody thought about asking", than "it is not used
often".
On Wed, 22 Aug 2018 at
Hi Imran,
On Wed, 29 Aug 2018 at 22:26, Imran Rashid
wrote:
> Hi Li,
>
> yes that makes perfect sense. That more-or-less is the same as my view,
> though I framed it differently. I guess in that case, I'm really asking:
>
> Can pyspark changes please be accompanied by more unit tests, and not
There is no need to ditch Python 2. There are basically two options
- Use stub files and limit yourself to support only Python 3 support.
Python 3 users benefit from type hints, Python 2 users don't, but no core
functionality is affected. This is the approach I've used with
https://git
arry on, but do we want to take that baggage into Apache Spark 3.x
> era? The next time you may drop it would be only 4.0 release because
> of breaking change.
>
> --
> ,,,^..^,,,
> On Sat, Sep 15, 2018 at 2:21 PM Maciej Szymkiewicz
> wrote:
> >
> > There is no need to d
Even if these were documented Sphinx doesn't include dunder methods by
default (with exception to __init__). There is :special-members: option
which could be passed to, for example, autoclass.
On Tue, 23 Oct 2018 at 21:32, Sean Owen wrote:
> (& and | are both logical and bitwise operators in Jav
ance.
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Maciej
ini
>>>> Data Engineer
>>>> mobile: +98 912 468 1859 <+98+912+468+1859>
>>>> site: www.moein.xyz
>>>> email: moein...@gmail.com
>>>> [image: linkedin] <https://www.linkedin.com/in/moeinhm>
>>>> [image: twitter] <https://twitter.com/moein7tl>
>>>>
>>>>
>>
>> --
>>
>> Moein Hosseini
>> Data Engineer
>> mobile: +98 912 468 1859 <+98+912+468+1859>
>> site: www.moein.xyz
>> email: moein...@gmail.com
>> [image: linkedin] <https://www.linkedin.com/in/moeinhm>
>> [image: twitter] <https://twitter.com/moein7tl>
>>
>>
--
Regards,
Maciej
Hi,
Did anyone measure performance of Spark 2.0 vs Spark 1.6 ?
I did some test on parquet file with many nested columns (about 30G in
400 partitions) and Spark 2.0 is sometimes 2x slower.
I tested following queries:
1) select count(*) where id > some_id
In this query we have PPD and performance i
2016-06-29 23:22 GMT+02:00 Michael Allman :
> I'm sorry I don't have any concrete advice for you, but I hope this helps
> shed some light on the current support in Spark for projection pushdown.
>
> Michael
Michael,
Thanks for the answer. This resolves one of my questions.
Which Spark version you
t; have them.
>
> Cheers,
>
> Michael
>
>> On Jun 29, 2016, at 2:39 PM, Maciej Bryński wrote:
>>
>> 2016-06-29 23:22 GMT+02:00 Michael Allman :
>>> I'm sorry I don't have any concrete advice for you, but I hope this helps
>>> shed some l
-1
https://issues.apache.org/jira/browse/SPARK-16379
https://issues.apache.org/jira/browse/SPARK-16371
2016-07-06 7:35 GMT+02:00 Reynold Xin :
> Please vote on releasing the following candidate as Apache Spark version
> 2.0.0. The vote is open until Friday, July 8, 2016 at 23:00 PDT and passes
> i
@Sean Owen,
As we're not planning to implement DataSets in Python do you plan to revert
this Jira ?
https://issues.apache.org/jira/browse/SPARK-13594
2016-07-19 10:07 GMT+02:00 Sean Owen :
> I think unfortunately at least this one is gonna block:
> https://issues.apache.org/jira/browse/SPARK-1662
@Reynold Xin,
How this will work with Hive Support ?
SparkSession.sqlContext return HiveContext ?
2016-07-19 0:26 GMT+02:00 Reynold Xin :
> Good idea.
>
> https://github.com/apache/spark/pull/14252
>
>
>
> On Mon, Jul 18, 2016 at 12:16 PM, Michael Armbrust
> wrote:
>>
>> + dev, reynold
>>
>> Yeah
@Michael,
I answered in Jira and could repeat here.
I think that my problem is unrelated to Hive, because I'm using
read.parquet method.
I also attached some VisualVM snapshots to SPARK-16321 (I think I should
merge both issues)
And code profiling suggest bottleneck when reading parquet file.
I wo
2016-07-22 23:05 GMT+02:00 Ramon Rosa da Silva :
> Hi Folks,
>
>
>
> What do you think about allow update SaveMode from
> DataFrame.write.mode(“update”)?
>
> Now Spark just has jdbc insert.
I'm working on patch that creates new mode - 'upsert'.
In Mysql it will use 'REPLACE INTO' command.
M.
---
Hi everyone,
This doesn't look like something expected, does it?
http://stackoverflow.com/q/38710018/1560062
Quick glance at the UI suggest that there is a shuffle involved and
input for first is ShuffledRowRDD.
--
Best regards,
Maciej Szymkiewicz
owever, in the second case, the optimisation in the CollectLimitExec
> does not help, because the previous limit operation involves a shuffle
> operation. All partitions will be computed, and running LocalLimit(1)
> on each partition to get 1 row, and then all partitions are shuffled
>
mply pushes down across mapping functions,
> because the number of rows may change across functions. for example,
> flatMap()
>
> It seems that limit can be pushed across map() which won’t change the
> number of rows. Maybe this is a room for Spark optimisation.
>
>> On Aug 2, 20
Hi,
I have some operation on DataFrame / Dataset.
How can I see source code for whole stage codegen ?
Is there any API for this ? Or maybe I should configure log4j in specific
way ?
Regards,
--
Maciek Bryński
Hi Olivier,
Did you check performance of Kryo ?
I have observations that Kryo is slightly slower than Java Serializer.
Regards,
Maciek
2016-08-04 17:41 GMT+02:00 Amit Sela :
> It should. Codegen uses the SparkConf in SparkEnv when instantiating a new
> Serializer.
>
> On Thu, Aug 4, 2016 at 6:14
inal class GeneratedIterator extends
> org.apache.spark.sql.execution.BufferedRowIterator
> {
>
> /* 006 */ private Object[] references;
>
> /* 007 */ private org.apache.spark.sql.execution.metric.SQLMetric
> range_numOutputRows;
>
> /* 008 */ private boolean range_initRang
Hi,
Do you plan to add tag for this release on github ?
https://github.com/graphframes/graphframes/releases
Regards,
Maciek
2016-08-17 3:18 GMT+02:00 Jacek Laskowski :
> Hi Tim,
>
> AWESOME. Thanks a lot for releasing it. That makes me even more eager
> to see it in Spark's codebase (and replaci
Hi,
I read this article:
https://databricks.com/blog/2015/04/13/deep-dive-into-spark-sqls-catalyst-optimizer.html
And I have a question. Is it possible to get / print Tree for SQL Query ?
Something like this:
Add(Attribute(x), Add(Literal(1), Literal(2)))
Regards,
--
Maciek Bryński
--
016-08-24 22:39 GMT+02:00 Reynold Xin :
> It's basically the output of the explain command.
>
>
> On Wed, Aug 24, 2016 at 12:31 PM, Maciej Bryński wrote:
>>
>> Hi,
>> I read this article:
>>
>> https://databricks.com/blog/2015/04/13/deep-dive-into-spark-sql
2016-08-27 15:27 GMT+02:00 Julien Dumazert :
> df.map(row => row.getAs[Long]("fieldToSum")).reduce(_ + _)
I think reduce and sum has very different performance.
Did you try sql.functions.sum ?
Or of you want to benchmark access to Row object then count() function
will be better idea.
Regards,
Hi,
I did some benchmark of cache function today.
*RDD*
sc.parallelize(0 until Int.MaxValue).cache().count()
*Datasets*
spark.range(Int.MaxValue).cache().count()
For me Datasets was 2 times slower.
Results (3 nodes, 20 cores and 48GB RAM each)
*RDD - 6s*
*Datasets - 13,5 s*
Is that expected be
ow, it seems that it got much slower from 1.6 to
> 2.0. I guess, it's because of the fact that Dataframe is now Dataset[Row],
> and thus uses the same encoding/decoding mechanism as for any other case
> class.
>
> Best regards,
>
> Julien
>
> Le 27 août 2016 à 22:32, M
+1
At last :)
2016-09-26 19:56 GMT+02:00 Sameer Agarwal :
> +1 (non-binding)
>
> On Mon, Sep 26, 2016 at 9:54 AM, Davies Liu wrote:
>
>> +1 (non-binding)
>>
>> On Mon, Sep 26, 2016 at 9:36 AM, Joseph Bradley
>> wrote:
>> > +1
>> >
>> > On Mon, Sep 26, 2016 at 7:47 AM, Denny Lee
>> wrote:
>> >>
xception: key not found: a
while Java serializer works just fine:
scala> val sc = new SparkContext(new
SparkConf().setAppName("bar").set("spark.serializer",
"org.apache.spark.serializer.JavaSerializer"))
scala> sc.parallelize(Seq(aMap)).map(_("a")).first
res9: Long = 0
--
Best regards,
Maciej
+1
2016-09-30 7:01 GMT+02:00 vaquar khan :
> +1 (non-binding)
> Regards,
> Vaquar khan
>
> On 29 Sep 2016 23:00, "Denny Lee" wrote:
>
>> +1 (non-binding)
>>
>> On Thu, Sep 29, 2016 at 9:43 PM Jeff Zhang wrote:
>>
>>> +1
>>>
>>> On Fri, Sep 30, 2016 at 9:27 AM, Burak Yavuz wrote:
>>>
+1
>
r a custom
>> serializer that handles this case. Or work around it in your client
>> code. I know there have been other issues with Kryo and Map because,
>> for example, sometimes a Map in an application is actually some
>> non-serializable wrapper view.
>>
>> O
You have to remember that Stack Overflow crowd (like me) is highly
opinionated, so many questions, which could be just fine on the mailing
list, will be quickly downvoted and / or closed as off-topic. Just
saying...
--
Best,
Maciej
On 11/07/2016 04:03 AM, Reynold Xin wrote:
> OK I've
bstantially underestimated how opinionated people can be on
> mailing lists too :)
>
> On Sunday, November 6, 2016, Maciej Szymkiewicz
> mailto:mszymkiew...@gmail.com>> wrote:
>
> You have to remember that Stack Overflow crowd (like me) is highly
> opinionated, so many
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