Hi,
So I've done this Node-centered accumulator, I've written a small
piece about it :
http://blog.guillaume-pitel.fr/2015/06/spark-trick-shot-node-centered-aggregator/
Hope it can help someone
Guillaume
2015-06-18 15:17 GMT+02:00 Guillaume Pitel guillaume.pi...@exensa.com
Guillaume Pitel guillaume.pi...@exensa.com
mailto:guillaume.pi...@exensa.com:
Hi,
I'm trying to figure out the smartest way to implement a global
count-min-sketch on accumulators. For now, we are doing that with RDDs. It
works well, but with one sketch per partition, merging takes
, then that doesn't work
anymore, probably you could detect it and recompute the sketches, but
it would become over complicated.
2015-06-18 14:27 GMT+02:00 Guillaume Pitel guillaume.pi...@exensa.com
mailto:guillaume.pi...@exensa.com:
Hi,
Thank you for this confirmation.
Coalescing
.
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is
initialized locally, updated, then sent back to the driver for merging ?
So I guess, accumulators may not be the way to go, finally.
Any advice ?
Guillaume
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don't think it should hurt
too much.
Guillaume
Hi everyone,
However I am not happy with this solution because each element is most
likely to be paired with elements that are closeby in the partition. This
is because sample returns an ordered Iterator.
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comments:
// SPARK_LOCAL_DIRS environment variable, and deleted by the Worker when the
// application finishes.
On 13.04.2015, at 11:26, Guillaume Pitel guillaume.pi...@exensa.com
mailto:guillaume.pi...@exensa.com wrote:
Does it also cleanup spark local dirs ? I thought it was only
cleaning
a SIGTERM
signal, so perhaps the daemon was terminated by someone or a parent
process. Just my guess.
Tim
On Mon, Apr 13, 2015 at 2:28 AM, Guillaume Pitel
guillaume.pi...@exensa.com mailto:guillaume.pi...@exensa.com wrote:
Very likely to be this :
http://www.linuxdevcenter.com/pub/a/linux
Worker: RECEIVED SIGNAL 15: SIGTERM*
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the disk spacein this folder once the
shuffle operation is done? If not, I need to write a job to clean it
up myself. But how do I know which sub folders there can be removed?
Ningjun
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here.
I would be really grateful to you if you reply it.
Thanks,
On Wed, Apr 8, 2015 at 1:23 PM, Guillaume Pitel
guillaume.pi...@exensa.com mailto:guillaume.pi...@exensa.com wrote:
This kind of operation is not scalable, not matter what you do, at
least if you _really_ want to do
the source, by downloading it and running:
mvn -Pnetlib-lgpl -DskipTests clean package
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sure that your combineByKey has enough
different keys, and see what happens.
Guillaume
Thank you, Guillaume, my dataset is not that large, it's totally ~2GB
2014-10-20 16:58 GMT+08:00 Guillaume Pitel guillaume.pi...@exensa.com
mailto:guillaume.pi...@exensa.com:
Hi,
It happened to me
Hi
Could it be due to GC ? I read it may happen if your program starts with
a small heap. What are your -Xms and -Xmx values ?
Print GC stats with -verbose:gc -XX:+PrintGCDetails -XX:+PrintGCTimeStamps
Guillaume
Hello spark users and developers!
I am using hdfs + spark sql + hive schema +
a
configuration error from our side, but are unable to pin it down. Does someone
have any idea of the origin of the problem ?
For now we're sticking with the HttpBroadcast workaround.
Guillaume
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_o4lbʂԛ4각
4^x4ڻ
Clearly a stream corruption problem.
We've been running fine (afaik) on 1.0.0 for two weeks, switch to 1.0.1
this Monday, and since, this kind of problem randomly occur.
Guillaume Pitel
Not sure if this helps, but it does seem to be part of a name
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Maybe with MEMORY_ONLY, spark has to recompute the RDD several times because
they don't fit in memory. It makes things run slower.
As a general safe rule, use MEMORY_AND_DISK_SER
Guillaume Pitel - Président d'eXenSa
Prashant Sharma scrapco...@gmail.com a écrit :
I think Mahout uses
!
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? in
SPARK_JAVA_OPTS during SparkContext creation ? It should probably be
passed in the spark-env.sh because it can differ on each node
Guillaume
On 13 Mar, 2014, at 5:33 pm, Guillaume Pitel guillaume.pi...@exensa.com
wrote
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