You might want to take a look through the Hadoop Wiki site and browse their
various tutorials. In addition, you can also follow Cloudera's wonderful
tutorials if you download their virtual machine:
http://www.cloudera.com/hadoop-training-virtual-machine
On Thu, Jan 21, 2010 at 9:45 AM, ankit bhat
A ticket has just been opened to add this functionality. You should vote it
up!
https://issues.apache.org/jira/browse/HIVE-936
On Sat, Nov 21, 2009 at 12:14 AM, Andrew O'Brien wrote:
> Hi everyone,
>
> A question about partitioning: All of the examples I've seen insert
> into a single hard-code
Hey all,
A new ticket has just been created for Hive to support dynamic partitions.
https://issues.apache.org/jira/browse/HIVE-936
Register and vote for it to make it a priority. I think this feature would
make Hive (particularly partitions) vastly more useful.
>From the description:
If a Hive
Hey David,
Thanks for contributing. Pete Skomoroch also does a lot of great work with
Hadoop on Amazon Web Services. You can check out his great tutorials at
DataWrangling.com and the Git repository for TrendingTopics.org. The more
we get people to blog about these tools the better! Hopefully
This is slightly off-topic, but our Hadoop + Hive usage is growing at our
company and we're feeling the need to start adding more hardware. I've been
tasked with trying to figure out what other groups use. I haven't really
followed up on what hardware is out there mostly because my needs have bee
Ryan,
I asked this question a couple days ago but in a slightly different form.
What you have to do is make sure the table you're joining is smaller than
the leftmost table. As an example,
SELECT COUNT(DISTINCT UT.UserID) FROM usertracking UT JOIN streamtransfers
ST ON (ST.usertrackingid = UT.u
Hi all,
I'm trying to run this query on two 8gb datasets:
SELECT COUNT(UT.UserID) FROM streamtransfers ST JOIN usertracking UT ON
(ST.usertrackingid = UT.usertrackingid) WHERE UT.UserID IS NOT NULL AND
UT.UserID <> 0 GROUP BY UT.UserID;
I've also tried its DISTINCT counterpart.
Hive-0.4.0 on Hado
