Hi Alex,
I'll create JIRA SPARK-4985 for date type support in parquet, and SPARK-4987
for timestamp type support. For decimal type, I think we only support decimals
that fits in a long.
Thanks,
Daoyuan
-Original Message-
From: Alessandro Baretta [mailto:alexbare...@gmail.com]
Sent:
It means a test failed but you have not shown the test failure. This would
have been logged earlier. You would need to say how you ran tests too. The
tests for 1.2.0 pass for me on several common permutations.
On Dec 29, 2014 3:22 AM, Naveen Madhire vmadh...@umail.iu.edu wrote:
Hi,
I am follow
Hi devs,
I'd like to ask what are the procedures/conditions for being assigned a
role of a developer on spark jira? My motivation is to be able to assign
issues to myself. Only related resource I have found is jira permission
scheme [1].
regards
Jakub
[1]
Daoyuan,
Thanks for creating the jiras. I need these features by... last week, so
I'd be happy to take care of this myself, if only you or someone more
experienced than me in the SparkSQL codebase could provide some guidance.
Alex
On Dec 29, 2014 12:06 AM, Wang, Daoyuan daoyuan.w...@intel.com
Please ask someone else to assign them for now, and just comment on them that
you're working on them. Over time if you contribute a bunch we'll add you to
that list. The problem is that in the past, people would assign issues to
themselves and never actually work on them, making it confusing
Hi Matei,
that makes sense. Thanks a lot!
Jakub
-- Původní zpráva --
Od: Matei Zaharia matei.zaha...@gmail.com
Komu: Jakub Dubovsky spark.dubovsky.ja...@seznam.cz
Datum: 29. 12. 2014 19:31:57
Předmět: Re: How to become spark developer in jira?
Please ask someone else to
Hey all,
Some wrap up thoughts on this thread.
Let me first reiterate what Patrick said, that Kafka is super super
important as it forms the largest fraction of Spark Streaming user
base. So we really want to improve the Kafka + Spark Streaming
integration. To this end, some of the things that
Can you give a little more clarification on exactly what is meant by
1. Data rate control
If someone wants to clamp the maximum number of messages per RDD partition
in my solution, it would be very straightforward to do so.
Regarding the holy grail, I'm pretty certain you can't have end-to-end
I'd love to get both of these in. There is some trickiness that I talk
about on the JIRA for timestamps since the SQL timestamp class can support
nano seconds and I don't think parquet has a type for this. Other systems
(impala) seem to use INT96. It would be great to maybe ask on the parquet
I am getting The command is too long error.
Is there anything which needs to be done.
However for the time being I followed the sbt way of buidling spark in
IntelliJ.
On Mon, Dec 29, 2014 at 3:52 AM, Sean Owen so...@cloudera.com wrote:
It means a test failed but you have not shown the test
Hi Patrick,
I manually hardcoded the hive version to 0.13.1a and it works. It turns out
that for some reason, 0.13.1 is being picked up instead of the 0.13.1a version
from maven.
So my solution was:hardcode the hive.version to 0.13.1a in my case since I am
building it against hive 0.13 only, so
What is the recommended way to do this? We have some native database
client libraries for which we are adding pyspark bindings.
The pyspark invokes spark-submit. Do we add our libraries to
the SPARK_SUBMIT_LIBRARY_PATH ?
This issue relates back to an error we have been seeing Py4jError:
Michael,
Actually, Adrian Wang already created pull requests for these issues.
https://github.com/apache/spark/pull/3820
https://github.com/apache/spark/pull/3822
What do you think?
Alex
On Mon, Dec 29, 2014 at 3:07 PM, Michael Armbrust mich...@databricks.com
wrote:
I'd love to get both of
Hi Cody,
From my understanding rate control is an optional configuration in Spark
Streaming and is disabled by default, so user can reach maximum throughput
without any configuration.
The reason why rate control is so important in streaming processing is that
Spark Streaming and other
Hi Stephen, it should be enough to include
--jars /path/to/file.jar
in the command line call to either pyspark or spark-submit, as in
spark-submit --master local --jars /path/to/file.jar myfile.py
and you can check the bottom of the Web UI’s “Environment tab to make sure the
jar gets on
Hi All,
I have a problem when I try to use insert into in loop, and this is my code
def main(args: Array[String]) {
//This is an empty table, schema is (Int,String)
sqlContext.parquetFile(Data\\Test\\Parquet\\Temp).registerTempTable(temp)
//not empty table, schema is (Int,String)
Hi pyspark guys,
I have a json file, and its struct like below:
{NAME:George, AGE:35, ADD_ID:1212, POSTAL_AREA:1,
TIME_ZONE_ID:1, INTEREST:[{INTEREST_NO:1, INFO:x},
{INTEREST_NO:2, INFO:y}]}
{NAME:John, AGE:45, ADD_ID:1213, POSTAL_AREA:1, TIME_ZONE_ID:1,
INTEREST:[{INTEREST_NO:2, INFO:x},
named tuple degenerate to tuple.
*A400.map(lambda i: map(None,i.INTEREST))*
===
[(u'x', 1), (u'y', 2)]
[(u'x', 2), (u'y', 3)]
--
View this message in context:
Assuming you're talking about spark.streaming.receiver.maxRate, I just
updated my PR to configure rate limiting based on that setting. So
hopefully that's issue 1 sorted.
Regarding issue 3, as far as I can tell regarding the odd semantics of
stateful or windowed operations in the face of
Hi all,
I am trying to use some machine learning algorithms that are not included
in the Mllib. Like Mixture Model and LDA(Latent Dirichlet Allocation), and
I am using pyspark and Spark SQL.
My problem is: I have some scripts that implement these algorithms, but I
am not sure which part I shall
By adding a flag in SQLContext, I have modified #3822 to include nanoseconds
now. Since passing too many flags is ugly, now I need the whole SQLContext, so
that we can put more flags there.
Thanks,
Daoyuan
From: Michael Armbrust [mailto:mich...@databricks.com]
Sent: Tuesday, December 30, 2014
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