that
would process these 4 `store`s?
Jacek
--
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Never discourage anyone who continually makes progress, no matter how
slow. Plato
)
at java.lang.reflect.Method.invoke(Method.java:597)
Thanks,
Shrikar
--
Jacek Laskowski | http://blog.japila.pl
Never discourage anyone who continually makes progress, no matter how
slow. Plato
Hi,
Where does the following path that appears in the logs below come from?
/opt/xdsp/spark-1.2.0/H:\Soft\Maven\repository/org/scala-lang/scala-compiler/2.10.4/scala-compiler-2.10.4.jar
Did you somehow point at the local maven repository that's H:\Soft\Maven?
Jacek
31 gru 2014 01:48 j_soft
cek Laskowski | http://blog.japila.pl | http://blog.jaceklaskowski.pl
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On Tue, Oct 20, 2015 at 5:48 PM, masoom alam <masoom.a...@wanclouds.net> wrote:
> Dear all
>
> I want to setu
Hi Holden,
What a great idea! I'd love to join, but since I'm in Europe it's not
gonna happen by this Fri. Any plans to visit Europe or perhaps Warsaw,
Poland and host office hours here? ;-)
p.s. What about an virtual event with Google Hangout on Air on?
Pozdrawiam,
Jacek
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ion and hence should be lazy? Is this a
special transformation?
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er" that should not be that hard to fix. Does this
still hold? I'd like to work on it if it's "simple" and doesn't get me
swamped. Thanks!
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Upvo
`).
Are a ResultStage's parent stages only ShuffleMapStages?
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/apache/spark/blob/master/core/src/main/scala/org/apache/spark/rdd/RDD.scala#L260-L266
[2]
https://github.com/apache/spark/blob/master/core/src/main/scala/org/apache/spark/rdd/RDD.scala#L292-L298
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project - gitter is the best option for such cases). Could you
remove ~/.ivy2 and ~/.sbt and start over?
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On Thu, Aug 27, 2015 at 5:40 PM, Jacek Laskowski ja...@japila.pl wrote:
Server access Error: java.lang.RuntimeException: Unexpected error:
java.security.InvalidAlgorithmParameterException: the trustAnchors parameter
must be non-empty
url=https://jcenter.bintray.com/org/scala-sbt/sbt
hadoop?
Hi,
It should be enough and you don't need Hadoop.
I described the process of setting up both in
http://blog.jaceklaskowski.pl/2015/07/20/real-time-data-processing-using-apache-kafka-and-spark-streaming.html.
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:spark-mllib_2.11
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Hi,
I'm trying to nail it down myself, too. Is there anything relevant to
help on my side?
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Hi,
Sean helped me offline and I sent
https://github.com/apache/spark/pull/8479 for review. That's the only
breaking place for the build I could find. Tested with 2.10 and 2.11.
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NGs and
TIMED_WAITING "at sun.misc.Unsafe.park(Native Method)"
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nt.Await$$anonfun$result$1.apply(package.scala:190)
at
scala.concurrent.BlockContext$DefaultBlockContext$.blockOn(BlockContext.scala:53)
at scala.concurrent.Await$.result(package.scala:190)
at org.apache.spark.rpc.RpcTimeout.awaitResult(RpcEnv.scala:242)
... 15 more
```
Pozdrawiam,
Jacek
--
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it up via a pull req?
BTW, What do you think about removing
SparkContext.preferredNodeLocationData as part of the cleanup?
[1] https://issues.apache.org/jira/browse/SPARK-8949
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regularly. Give it a
shot yourself as it's easy to reproduce - build Spark from the sources
and have a project with libraryDependencies set with Spark core
1.6.0-SNAPSHOT.
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important for
Spark on YARN. Would "Removing the internal field and one usage of it
seems OK, though I don't think it would help much of anything." still
hold? I don't think so and hence the issue reported.
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r-docs/latest/job-scheduling.html
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orrect or not? :(
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On Fri, Oct 2, 2015 at 8:20 PM, Marcelo Vanzin <van...@cloudera.com> wrote:
>
config.
=
Why is the deprecation? Is it not supported (not recommended given the
message) to have a Spark Standalone cluster and executing spark-submit
on the same machine?
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On Tue, Sep 22, 2015 at 10:03 PM, Ted Yu wrote:
> To my knowledge, no one runs HBase on top of Mesos.
Hi,
That sentence caught my attention. Could you explain the reasons for
not running HBase on Mesos, i.e. what makes Mesos inappropriate for
HBase?
Jacek
Hi,
That's my understanding, too. Just spent an entire morning today to check
it out and would be surprised to hear otherwise.
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On Tue, Dec 1, 2015 at 2:32 PM, RodrigoB wrote:
> I'm currently trying to build spark with Scala 2.11 and Akka 2.4.0.
Why? AFAIK Spark's leaving Akka's boat and joins Netty's.
Jacek
-
To
for stages that are in a
sense similar to jobs so...I'm still unsure why the method is not used
by Spark itself. If it's not used by Spark why could it be useful for
others outside Spark?
Doh, why did I come across the method? It will take some time before I
forget about it :-)
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--
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there is a way to
kill/cancel stages, but no corresponding feature to kill/cancel jobs.
Why? Is there a JIRA ticket to have it some day perhaps?
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==> https://jaceklaskowski.gitbooks.io/mastering-apache-sp
Ok, enuf! :) Leaving the room for now as I'm like a copycat :)
https://en.wiktionary.org/wiki/enuf
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On Sat, Jan 9, 2016 at 1:48 PM, Sean Owen wrote:
> (For similar reasons I personally don't favor supporting Java 7 or
> Scala 2.10 in Spark 2.x.)
That reflects my sentiments as well. Thanks Sean for bringing that up!
Jacek
Hi,
To add to it, you can read about the native libs in
https://hadoop.apache.org/docs/current/hadoop-project-dist/hadoop-common/NativeLibraries.html.
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Jacek Laskowski | https://medium.com/@jaceklaskowski/
Mastering Apache Spark
==> https://jaceklaskowski.gitbooks.io/master
Thanks Mark! That helped a lot, and my takeaway from it is to...back
away now! :) I'm following the advice as there's simply too much at
the moment to learn in Spark.
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Jacek
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Mastering Apache Spark
==> ht
On Fri, Nov 27, 2015 at 4:27 PM, Shuo Wang wrote:
> I am trying to use the start-master.sh script on windows 7.
>From http://spark.apache.org/docs/latest/spark-standalone.html:
"Note: The launch scripts do not currently support Windows. To run a
Spark cluster on Windows,
5005):
-agentlib:jdwp=transport=dt_socket,server=y,suspend=y,address=5005
In IntelliJ IDEA, define a new debug configuration for Remote and
press Debug. You're done.
https://www.jetbrains.com/idea/help/debugging-2.html might help.
Pozdrawiam,
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the other options a try.
Can you show the exact location of the jar you want your Spark app to
depend on (using `ls`) and how you defined the dependency in
build.sbt?
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and submitting jobs using YARN.
Standalone's an entry option where throwing in YARN could kill
introducing Spark to organizations without Hadoop YARN.
Just my two cents.
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java.net.InetAddress.getLocalHost()
that Spark executes under the covers before running into the
network-related issue.
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find it now :(
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On Fri, Nov 27, 2015 at 12:12 PM, Nisrina Luthfiyati <
nisrina.luthfiy...@gmail.com> wrote:
> Hi all,
> I'm trying to understand how yarn-client mode works and found these two
> diagrams:
>
>
>
>
> In the first diagram, it looks like the driver running in client directly
> communicates with
rk-related? Thanks for any
help!
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On Tue, Dec 1, 2015 at 10:57 AM, Shams ul Haque wrote:
> Thanks for the suggestion, i am going to try union.
...and please report your findings back.
> And what is your opinion on 2nd question.
Dunno. If you find a solution, let us know.
Jacek
ments: Stream((0,CompactBuffer((0,1), (0,1), (0,1), (0,1
1 with 1 elements: Stream((1,CompactBuffer((1,1), (1,1), (1,1), (1,1
Do I miss anything?
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2)
...
Guess I should file an issue?
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Hi,
Check the number of records inside the DStream at a batch before you do the
save.
Gist the code with mapWithState and save?
Jacek
On 9 Jun 2016 7:58 a.m., "soumick dasgupta"
wrote:
Hi,
I am using mapwithstate to keep the state and then ouput the result to
Hi,
Use DataFrame-based API (aka spark.ml) first and if your ml algorithm
doesn't support it switch to a RDD-based API (spark.mllib). What algorithm
are you going to use?
Jacek
On 9 Jun 2016 9:12 a.m., "pseudo oduesp" wrote:
> Hi,
> after spark 1.3 we have dataframe (
Hi,
What's the version of Spark? You're using Kafka 0.9.0.1, ain't you? What's
the topic name?
Jacek
On 7 Jun 2016 11:06 a.m., "Dominik Safaric"
wrote:
> As I am trying to integrate Kafka into Spark, the following exception
> occurs:
>
>
that the console knows what happens under the covers (and can
calculate the stats).
BTW, spark.ui.port (default: 4040) controls the port Web UI binds to.
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Whoohoo! What a great news! Looks like a RC is coming...Thanks a lot, Reynold!
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On Wed, Jun 8, 2016 at 7:55 AM, Reynold
et[Person] = [name: string, age: int]
scala> ds.as("a").joinWith(ds.as("b"), $"a.name" === $"b.name").show(false)
+++
|_1 |_2 |
+++
|[foo,42]|[foo,42]|
|[bar,24]|[bar,24]|
+++
Pozdrawiam,
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Hi,
I'm not surprised to see Hadoop jars on the driver (yet I couldn't
explain exactly why they need to be there). I can't find a way now to
display the classpath for executors.
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#org.apache.spark.sql.expressions.UserDefinedAggregateFunction
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On Tue, Jun 7, 2016 at 8:32 PM, Bryan Jeffrey <bryan.jeff...@gmail.com> wrote:
> Hello.
>
&g
On Wed, Jun 8, 2016 at 2:38 AM, Mohit Anchlia wrote:
> I am looking to write an ETL job using spark that reads data from the
> source, perform transformation and insert it into the destination.
Is this going to be one-time job or you want it to run every time interval?
>
Hi,
Is it me only to *not* see the snippets? Could you please gist 'em =>
https://gist.github.com ?
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On Wed, Ju
ark job to execute to have Input
Size / Records and Output Size / Records + Shuffle Spill (Memory) and
Shuffle Spill (Disk) columns.
Any ideas? Thanks!
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Finally, the PMC voice on the subject. Thanks a lot, Sean!
p.s. Given how much time it takes to ship 2.0 (with so many cool
features already backed in!) I'd vote for releasing a few more RCs
before 2.0 hits the shelves. I hope 2.0 is not Java 9 or Jigsaw ;-)
Pozdrawiam,
Jacek Laskowski
Hi,
It's not possible. YARN uses CPU and memory for resource constraints and
places AM on any node available. Same about executors (unless data locality
constraints the placement).
Jacek
On 6 Jun 2016 1:54 a.m., "Saiph Kappa" wrote:
> Hi,
>
> In yarn-cluster mode, is
On Tue, Jun 7, 2016 at 1:25 PM, Arun Patel wrote:
> Do we have any further updates on release date?
Nope :( And it's even more quiet than I could have thought. I was so
certain that today's the date. Looks like Spark Summit has "consumed"
all the people behind
Hi,
--master yarn-client is deprecated and you should use --master yarn
--deploy-mode client instead. There are two deploy-modes: client
(default) and cluster. See
http://spark.apache.org/docs/latest/cluster-overview.html.
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On Tue, Jun 7, 2016 at 3:25 PM, Sean Owen wrote:
> That's not any kind of authoritative statement, just my opinion and guess.
Oh, come on. You're not **a** Sean but **the** Sean (= a PMC member
and the JIRA/PRs keeper) so what you say **is** kinda official. Sorry.
But don't
Hi,
It's supposed to work like this - share SparkContext to share datasets
between threads.
Ad 1. No
Ad 2. Yes
See CrossValidation and similar validations in spark.ml.
Jacek
On 9 Jun 2016 7:29 p.m., "Brandon White" wrote:
> For example, say I want to train two Linear
for simple operations. In contrast, an RDD is opaque to
> catalyst so we can't perform that optimization.
>
> On Wed, Jun 8, 2016 at 7:49 AM, Jacek Laskowski <ja...@japila.pl> wrote:
>
>> Hi,
>>
>> I just noticed it today while toying with Spark 2.0.0 (today's build)
&
--executor-cores 1 to be exact.
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On Fri, Jun 3, 2016 at 12:28 AM, Mich Talebzadeh <mich.talebza...@gmail.com>
Hi Mathieu,
Thanks a lot for the answer! I did *not* know it's the driver to
create the directory.
You said "standalone mode", is this the case for the other modes -
yarn and mesos?
p.s. Did you find it in the code or...just experienced before? #curious
Pozdrawiam,
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Hi,
Good to hear so! Mind sharing a few snippets of your solution?
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On Wed, Jun 15, 2016 at 5:03 PM, Sivakumaran S
Can you post the error?
Jacek
On 14 Jun 2016 10:56 p.m., "Darshan Singh" wrote:
> Hi,
>
> I am using standalone spark cluster and using zookeeper cluster for the
> high availbilty. I am getting sometimes error when I start the master. The
> error is related to Leader
Hi,
Ad Q1, yes. See stateful operators like mapWithState and windows.
Ad Q2, RDDs should be fine (and available out of the box), but I'd give
Datasets a try too since they're .toDF away.
Jacek
On 14 Jun 2016 10:29 p.m., "Sivakumaran S" wrote:
Dear friends,
I have set up
On Sun, Jun 5, 2016 at 9:01 PM, Ashok Kumar
wrote:
> Now I have added this
>
> libraryDependencies += "com.databricks" % "apps.twitter_classifier"
>
> However, I am getting an error
>
>
> error: No implicit for Append.Value[Seq[sbt.ModuleID],
>
Hi,
"I am supposed to work with akka and Hadoop in building apps on top of
the data available in hadoop" <-- that's outside the topics covered in
this mailing list (unless you're going to use Spark, too).
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Mastering
object.
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On Tue, Jun 7, 2016 at 8:18 PM, Jacek Laskowski <ja...@japila.pl> wrote:
> Hi,
>
> It is t
On Wed, Jun 8, 2016 at 2:05 PM, pseudo oduesp <pseudo20...@gmail.com> wrote:
> how we can compare columns to get max of row not columns and get name of
> columns where max it present ?
First thought - a UDF.
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Mast
a "view" layer atop data and
when this data is local/in memory already there's no need to submit a
job to...well...compute the data.
I'd appreciate more in-depth answer, perhaps with links to the code. Thanks!
Pozdrawiam,
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Mastering Ap
e".
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On Fri, May 27, 2016 at 3:42 AM, Yong Zhang <java8...@hotmail.com> wrote:
> That just makes sense, d
Hi,
Few things for closer examination:
* is yarn master URL accepted in 1.3? I thought it was only in later
releases. Since you're seeing the issue it seems it does work.
* I've never seen specifying confs using a single string. Can you check in
the Web ui they're applied?
* what about this
or fix) my understanding before I file a JIRA issue. Thanks!
[1]
https://github.com/apache/spark/blob/master/core/src/main/scala/org/apache/spark/deploy/SparkSubmit.scala#L475-L476
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Hi,
How do you start thrift server? What's your user name? I think it takes the
user and always runs as it. Seen proxyUser today in spark-submit that may
or may not be useful here.
Jacek
On 31 May 2016 10:01 a.m., "Radhika Kothari"
wrote:
Hi
Anyone knows about
What's "With the help of UI"?
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On Tue, May 31, 2016 at 1:02 PM, Radhika Kothari
<radhikakothari100...@gma
Rather
val df = sqlContext.read.json(rdd)
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On Wed, Jun 15, 2016 at 11:55 PM, Sivakumaran S <siva.kuma...@me.com>
Hi,
That's one of my concerns with the code. What concerned me the most is
that the RDD(s) were converted to DataFrames only to registerTempTable
and execute SQLs. I think it'd have better performance if DataFrame
operators were used instead. Wish I had numbers.
Pozdrawiam,
Jacek Laskowski
Hi,
When you say "several ETL types of things", what is this exactly? What
would an example of "dependency between these jobs" be?
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Hi,
You could use --properties-file to point to the properties file with
properties or use spark.driver.extraJavaOptions.
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IDEA :))
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On Thu, Jun 16, 2016 at 1:37 AM, Krishna Kalyan
<krishnakaly...@gmail.com> wrote:
> Hello,
>
Hi,
I'd check Details for Stage page in web UI.
Pozdrawiam,
Jacek Laskowski
https://medium.com/@jaceklaskowski/
Mastering Apache Spark http://bit.ly/mastering-apache-spark
Follow me at https://twitter.com/jaceklaskowski
On Thu, Jun 16, 2016 at 6:45 AM, Utkarsh Sengar <utkar
Hi,
Can you make sure that the ulimit settings are applied to the Spark
process? Is this Spark on YARN or Standalone?
Pozdrawiam,
Jacek Laskowski
https://medium.com/@jaceklaskowski/
Mastering Apache Spark http://bit.ly/mastering-apache-spark
Follow me at https://twitter.com/jaceklaskowski
(and
without your support I won't be able to recover from this painful
mental state :))
Thanks for reading so far! Appreciate any help.
[1]
https://hadoop.apache.org/docs/current/hadoop-yarn/hadoop-yarn-site/CapacityScheduler.html
Pozdrawiam,
Jacek Laskowski
https://medium.com/@jaceklaskowski
Hi,
How would you do that without/outside streaming?
Jacek
On 17 Jun 2016 12:12 a.m., "Amit Assudani" wrote:
> Hi All,
>
>
> Can I update batch data frames loaded in memory with Streaming data,
>
>
> For eg,
>
>
> I have employee DF is registered as temporary table, it
that the task
> passes.
>
> FYI
>
> On Sun, Jun 19, 2016 at 3:22 AM, Jacek Laskowski <ja...@japila.pl> wrote:
>
>> Hi,
>>
>> Thanks Burak for the idea, but it *only* fails the tasks that
>> eventually fail the entire job not a particular stage (just
s.
Please guide. Thanks.
/me on to reviewing the Spark code...
Pozdrawiam,
Jacek Laskowski
https://medium.com/@jaceklaskowski/
Mastering Apache Spark http://bit.ly/mastering-apache-spark
Follow me at https://twitter.com/jace
, be it on your local machine where
you executed spark-submit or on one node in a YARN cluster.
The same applies to Spark Standalone and Mesos and is controlled by
--deploy-mode, i.e. client (default) or cluster.
Please update your notes accordingly ;-)
Pozdrawiam,
Jacek Laskowski
https://m
finishing up properly.
Any ideas? I've got one but it requires quite an extensive cluster set
up which I'd like to avoid if possible. Just something I could use
during workshops or demos and others could reproduce easily to learn
Spark's internals.
Pozdrawiam,
Jacek Laskowski
https
for future
reference.
Why are there multiple executor entries under the same executor IDs?
What are the executor entries exactly? When are the new ones created
(after a Spark application is launched and assigned the
--num-executors executors)?
Pozdrawiam,
Jacek Laskowski
https://medium.com
Hi,
Following up on this question, is a stage considered failed only when
there is a FetchFailed exception? Can I have a failed stage with only
a single-stage job?
Appreciate any help on this...(as my family doesn't like me spending
the weekend with Spark :))
Pozdrawiam,
Jacek Laskowski
Hi,
What do you see under Executors and Details for Stage (for the
affected stages)? Anything weird memory-related?
How does your "I am reading data from Kafka into Spark and writing it
into Cassandra after processing it." pipeline look like?
Pozdrawiam,
Jacek Laskowski
https://
Hi,
Why do you provided spark-core while the others are non-provided? How do
you assemble the app? How do you submit it for execution? What's the
deployment environment?
More info...more info...
Jacek
On 15 Jun 2016 10:26 p.m., "S Sarkar" wrote:
Hello,
I built
Yes. Yes.
What's the use case?
Jacek
On 16 Jun 2016 2:17 p.m., "pseudo oduesp" wrote:
> hi,
> if i cache same data frame and transforme and add collumns i should cache
> second times
>
> df.cache()
>
> transforamtion
> add new columns
>
> df.cache()
> ?
>
>
Hi Jorn,
You can measure the time for ser/deser yourself using web UI or SparkListeners.
Pozdrawiam,
Jacek Laskowski
https://medium.com/@jaceklaskowski/
Mastering Apache Spark http://bit.ly/mastering-apache-spark
Follow me at https://twitter.com/jaceklaskowski
On Fri, Jun 24, 2016 at 10
Hi Mirko,
What exactly was the setting? I'd like to reproduce it. Can you file
an issue in JIRA to fix that?
Pozdrawiam,
Jacek Laskowski
https://medium.com/@jaceklaskowski/
Mastering Apache Spark http://bit.ly/mastering-apache-spark
Follow me at https://twitter.com/jaceklaskowski
On Fri
it.
pipeline == load a dataset, transform it and save it to persistent storage
Pozdrawiam,
Jacek Laskowski
https://medium.com/@jaceklaskowski/
Mastering Apache Spark http://bit.ly/mastering-apache-spark
Follow me at https://twitter.com/jaceklaskowski
On Fri, Jun 17, 2016 at 4:15 AM, Haopu Wang <
What about the user of NodeManagers?
Pozdrawiam,
Jacek Laskowski
https://medium.com/@jaceklaskowski/
Mastering Apache Spark http://bit.ly/mastering-apache-spark
Follow me at https://twitter.com/jaceklaskowski
On Thu, Jun 16, 2016 at 10:51 PM, prateek arora
<prateek.arora...@gmail.
-executors.png
Pozdrawiam,
Jacek Laskowski
https://medium.com/@jaceklaskowski/
Mastering Apache Spark http://bit.ly/mastering-apache-spark
Follow me at https://twitter.com/jaceklaskowski
On Sat, Jun 18, 2016 at 6:05 PM, Akhil Das <ak...@hacked.work> wrote:
> A screenshot of the exe
org.apache.spark.deploy.yarn.ExecutorLauncher
28463 org.apache.spark.deploy.SparkSubmit
Pozdrawiam,
Jacek Laskowski
https://medium.com/@jaceklaskowski/
Mastering Apache Spark http://bit.ly/mastering-apache-spark
Follow me at https://twitter.com/jaceklaskowski
On Sat, Jun 18, 2016 at 6:16 PM, Mich Talebzadeh
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