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On Wed, Aug 26, 2020, 4:22 PM Annabel Melongo
wrote:
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t;, "fn")
3. Merge the two schemas and you'll get what you want.
Thanks
On Thursday, December 29, 2016 7:18 PM, Richard Xin
wrote:
thanks, I have seen this, but this doesn't cover my question.
What I need is read json and include raw json as part of my dataframe.
Richard,
Below documentation will show you how to create a sparkSession and how to
programmatically load data:
Spark SQL and DataFrames - Spark 2.1.0 Documentation
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Spark SQL and DataFrames - Spark 2.1.0 Documentation
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On Thursday, December 29, 2016 5:16 PM, Ri
Andy,
This has nothing to do with Spark but I guess you don't have the proper Scala
version. The version you're currently running doesn't recognize a method in
Scala ArrayOps, namely: scala.collection.mutable.ArrayOps.$colon$plus
On Monday, January 18, 2016 7:53 PM, Andy Davidson
When you run spark submit in either client or cluster mode, you can either use
the options --packages or -jars to automatically copy your packages to the
worker machines.
Thanks
On Monday, January 11, 2016 12:52 PM, Andy Davidson
wrote:
I use https://code.google.com/p/parallel-ssh/ to
Or he can also transform the whole date into a string
On Thursday, January 7, 2016 2:25 PM, Sujit Pal
wrote:
Hi Jorge,
Maybe extract things like dd, mm, day of week, time of day from the datetime
string and use them as features?
-sujit
On Thu, Jan 7, 2016 at 11:09 AM, Jorge Machado
Michael,
I don't know what's your environment but if it's Cloudera, you should be able
to see the link to your master in the Hue.
Thanks
On Thursday, January 7, 2016 5:03 PM, Michael Pisula
wrote:
I had tried several parameters, including --total-executor-cores, no effect.
As for the
Vijay,
Are you closing the fileinputstream at the end of each loop ( in.close())? My
guess is those streams aren't close and thus the "too many open files"
exception.
On Tuesday, January 5, 2016 8:03 AM, Priya Ch
wrote:
Can some one throw light on this ?
Regards,Padma Ch
On Mon, Dec 2
[1] http://spark.apache.org/releases/spark-release-1-6-0.html[2]
http://spark.apache.org/downloads.html
On Monday, January 4, 2016 2:59 PM, "saif.a.ell...@wellsfargo.com"
wrote:
Where can I read more about the dataset api on a user layer? I am failing to
get an API doc or understand
date them. I
have filed SPARK-12565 to track this.
Please let me know if there's anything else I can help clarify.
Cheers,-Andrew
2015-12-29 13:07 GMT-08:00 Annabel Melongo :
Andrew,
Now I see where the confusion lays. Standalone cluster mode, your link, is
nothing but a combination of clien
op of YARN.
Please correct me, if I'm wrong.
Thanks
On Tuesday, December 29, 2015 2:54 PM, Andrew Or
wrote:
http://spark.apache.org/docs/latest/spark-standalone.html#launching-spark-applications
2015-12-29 11:48 GMT-08:00 Annabel Melongo :
Greg,
Can you please send me a doc
client mode.
2015-12-29 11:32 GMT-08:00 Annabel Melongo :
Greg,
The confusion here is the expression "standalone cluster mode". Either it's
stand-alone or it's cluster mode but it can't be both.
With this in mind, here's how jars are uploaded: 1. Spark Stand-alone m
Greg,
The confusion here is the expression "standalone cluster mode". Either it's
stand-alone or it's cluster mode but it can't be both.
With this in mind, here's how jars are uploaded: 1. Spark Stand-alone mode:
client and driver run on the same machine; use --packages option to submit a
ja
example is in Scala, then, I believe, semicolon is not required.
--
Be well!
Jean Morozov
On Mon, Dec 28, 2015 at 8:49 PM, Annabel Melongo
wrote:
Jean,
Try this:df.select("""select * from tmptable where x1 = '3.0'""").show();
Note: you have to use 3 dou
Additionally, if you already have some legal sql statements to process said
data, instead of reinventing the wheel using rdd's functions, you can speed up
implementation by using dataframes along with these existing sql statements.
On Monday, December 28, 2015 5:37 PM, Darren Govoni
wrote
Jean,
Try this:df.select("""select * from tmptable where x1 = '3.0'""").show();
Note: you have to use 3 double quotes as marked
On Friday, December 25, 2015 11:30 AM, Eugene Morozov
wrote:
Thanks for the comments, although the issue is not in limit() predicate. It's
something with spa
Phone
On 7 Dec 2015, at 18:50, Annabel Melongo
wrote:
Jia,
I'm so confused on this. The architecture of Spark is to run on top of HDFS.
What you're requesting, reading and writing to a C++ process, is not part of
that requirement.
On Monday, December 7, 2015 1:42 PM, Jia wr
On Monday, December 7, 2015 1:57 PM, Robin East
wrote:
Annabel
Spark works very well with data stored in HDFS but is certainly not tied to it.
Have a look at the wide variety of connectors to things like Cassandra, HBase,
etc.
Robin
Sent from my iPhone
On 7 Dec 2015, at 18:50, Annabel Melong
I have no intention to write
and run Spark UDF in C++, I'm just wondering whether Spark can read and write
data to a C++ process with zero copy.
Best Regards,Jia
On Dec 7, 2015, at 12:26 PM, Annabel Melongo wrote:
My guess is that Jia wants to run C++ on top of Spark. If that's t
My guess is that Jia wants to run C++ on top of Spark. If that's the case, I'm
afraid this is not possible. Spark has support for Java, Python, Scala and R.
The best way to achieve this is to run your application in C++ and used the
data created by said application to do manipulation within Spark
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