Hi,
I'm running out of memory when I run a GraphX program for dataset moe than
10 GB, It was handle pretty well in case of noraml spark operation when did
StorageLevel.MEMORY_AND_DISK.
In case of GraphX I found its only allowed storing in memory, and it is
because in Graph constructor, this
Hi,
I have a graph where no. of edges b/w two vertices are more than once
possible. Now I need to find out who are top vertices between which no. of
calls happen more?
output should look like (V1, V2 , No. of edges)
So I need to know, how to find out total no. of edges b/w only that two
Just figured it out using Graph constructor you can pass the storage level
for both Edge and Vertex :
Graph.fromEdges(edges, defaultValue =
(,),StorageLevel.MEMORY_AND_DISK,StorageLevel.MEMORY_AND_DISK )
Thanks to this post : https://issues.apache.org/jira/browse/SPARK-1991
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--Harihar
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Harihar Nahak
BigData Developer
Wynyard
Email:hna...@wynyardgroup.com | Extn: 8019
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Thanks Daniel ,
Applied Join from PairedRDD
val countByUsername = file1.join(file2)
.map {
case (id, (username, count)) = (id, username, count)
}
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Hi All,
I started exploring Spark from past 2 months. I'm looking for some concrete
features from both Spark and GraphX so that I'll take some decisions what to
use, based upon who get highest performance.
According to documentation GraphX runs 10x faster than normal Spark. So I
run Page Rank
You can set the same parameter when launching an application, if you use
sppar-submit tried --conf to give those variables or from SparkConfig also
you can set the logs for both driver and workers.
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Hi,
I'm trying to make custom input format for CSV file, if you can share little
bit more what you read as input and what things you have implemented. I'll
try to replicate the same things. If I find something interesting at my end
I'll let you know.
Thanks,
Harihar
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Hi Guys,
is there any one experience the same thing as above?
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Sent from the Apache Spark User List
-0800, Harihar Nahak [hidden email]
http://user/SendEmail.jtp?type=nodenode=19956i=0 wrote:
According to documentation GraphX runs 10x faster than normal Spark. So
I
run Page Rank algorithm in both the applications:
[...]
Local Mode (Machine : 8 Core; 16 GB memory; 2.80 Ghz Intel i7
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Wynyard
Email:hna...@wynyardgroup.com | Extn: 8019
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Harihar Nahak
BigData Developer
Wynyard
Email:hna...@wynyardgroup.com | Extn: 8019
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Wynyard
Email:hna...@wynyardgroup.com | Extn: 8019
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Email:hna...@wynyardgroup.com | Extn: 8019
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Harihar Nahak
BigData Developer
Wynyard
Email:hna...@wynyardgroup.com | Extn: 8019
Yes, I had try that too. I took the pre-built spark 1.1 release. If you there
are changes in up coming changes for GraphX library, just let me know or in
spark 1.2 I can do try on that.
--Harihar
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Hi All,
I wrote a custom reader to read a DB, and it is able to return key and value
as expected but after it finished it never returned to driver
here is output of worker log :
15/01/23 15:51:38 INFO worker.ExecutorRunner: Launch command: java -cp
Hi Guys,
I have the similar question and doubt. How spark create an executor on the
same node where is data block stored? Does it first take information from
HDFS name mode, get the block information and then place executor on the
same node is spark-worker demon is installed?
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Harihar Nahak
BigData Developer
Wynyard
Email:hna...@wynyardgroup.com | Extn: 8019
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at 10:54 PM, Harihar Nahak hna...@wynyardgroup.com
wrote:
Hi All,
I wrote a custom reader to read a DB, and it is able to return key and
value
as expected but after it finished it never returned to driver
here is output of worker log :
15/01/23 15:51:38 INFO worker.ExecutorRunner: Launch
No, I changed it to MongoDB. but you can write you custom code to connect
couchDB directly but in market there is no such connector available.
with few classes extends you can achieve to read couch DB. I can help you
in that let me know if you really interested.
On 30 January 2015 at 06:46,
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