Well
I create a issue here : https://issues.apache.org/jira/browse/HIVE-3914
the patch simpley use “outStream.writeUTF” instead of “
outStream.writeBytes ”
and solved this problem
2012/8/23 Edward Capriolo
> Currently what is a legal column or table name is a very limited set
> of ascii chara
In a similar way, ML algorithms can be put into a Hive UDAF. I'm working on
this at the moment, and it's proved quite straightforward to integrate
liblinear into a UDAF. As Igor notes, by setting the number of reducers, you
can set the number of parallel learners.
Robin
www.baynote.com
From:
Here is how Twitter does it with Pig:
http://www.umiacs.umd.edu/~jimmylin/publications/Lin_Kolcz_SIGMOD2012.pdf
We use a similar approach and I think that Pig, being somewhat lower-level
with better support of nested objects, is a better tool than Hive. It
should be possible to do something simila
How to run machine learning algorithms (whatever ML algorithms) directly in
Hive? assume the input and output already stored as Hive tables.
ps: I know mahout is available there, but would prefer run machine learning
algorithms directly in Hive
many thanks,
I am getting an exception when joining two tables with Amazon's Hive
0.8.1 on Amazon EMR, and I've run out of ideas on how to fix it.
The query is something along the lines of
Q1: SELECT count(*) FROM t1 x JOIN t2 y ON (x.id = y.x_id);
Which ends up throwing an exception like this in some of the
Hi All,
Greatly appreciate any feedback on this. May be this may sound infeasible.
Just wanted check with the experts on this. Anyway the problem of
incremental data processing is a very interesting one if it can be
accommodated for.
Best Regards
Buddhika
On Wed, Jan 16, 2013 at 12:36 PM, buddhi
Hi,
I'm currently using CDH3u3 and Hive 0.7.1, and I'm looking into how the
metadata is stored for partitioned tables within the RDBMS.
The issue that I see is that for tables with multiple partitioning columns,
there's no good way to determine which PARTITION_KEY_VALS record maps to
it's logical
Can you suggest me the mandatory hive parameters and clustering
configuration steps
On Thursday 17 January 2013 12:56 PM, Nitin Pawar wrote:
looks like a very small cluster with very limited memory to run
mapreduce jobs also number of map/reduce slots on nodes are less so at
a time only one ma
