The last iteration of stinger is coming with Tez.
The HDP 2 sandbox that you're using is not including Tez. You can add it
manually if you would like (doc is available on Hortonworks.com/labs) or
it'll be available of the HDP 2.1 sandbox.
Kind regards
Olivier
On 5 Mar 2014 17:15, Anthony Mattas anth...@mattas.net wrote:
Hi Yong,
I'm confused - I'm using Hive 0.12.0, shouldn't that be using stinger by
default? Or is there configurations that have to be enabled?
Anthony Mattas
anth...@mattas.net
On Wed, Mar 5, 2014 at 11:06 AM, java8964 java8...@hotmail.com wrote:
Your files are too small for any meaningful test of these 3 file types.
Most of the 23 seconds are spending on preparing/starting your MR job and
shutdown.
You need at least Gs data to compare the performance of these 3 types, to
get any meaningful result.
But as long as it is Hive on top of MapReduce, it will be really hard to
archive an interactive result. MapReduce is a batch mode, period.
You do want to consider Impala/spark or Apache stinger, if you really are
looking for interactive.
Yong
--
Date: Wed, 5 Mar 2014 09:02:32 -0500
Subject: Re: Benchmarking Hive Changes
From: anth...@mattas.net
To: user@hadoop.apache.org
Yes, I'm using the HortonWorks Data Platform 2.0 Sandbox which is a
standalone box.
But shame on me it looks like the files are both very tiny (46K), I'm
seeing about 23 seconds per query, which appears mostly to be starting up
MR.
So I'm going to find a new data set and try again, is there any types of
optimizations that can be done to reduce the start up time?
Ultimately I'm trying to compare the response time in Hive versus an EDW
platform - of course I still expect the EDW to perform more performantly,
but with the advancements in the newer versions of Hive I'm hoping for at
least a reasonable response for a user wishing to do interactive querying.
Specifically using Hive, I know you can get really good performance out of
Impala, but am not yet interested in going that route.
Anthony Mattas
anth...@mattas.net
On Wed, Mar 5, 2014 at 8:47 AM, java8964 java8...@hotmail.com wrote:
Are you doing on standalone one box? How large are your test files and
how long of the jobs of each type took?
Yong
From: anth...@mattas.net
Subject: Benchmarking Hive Changes
Date: Tue, 4 Mar 2014 21:31:42 -0500
To: user@hadoop.apache.org
I've been trying to benchmark some of the Hive enhancements in Hadoop
2.0 using the HDP Sandbox.
I took one of their example queries and executed it with the tables
stored as TEXTFILE, RCFILE, and ORC. I also tried enabling enabling
vectorized execution, and predicate pushdown.
SELECT s07.description, s07.salary, s08.salary,
s08.salary - s07.salary
FROM
sample_07 s07 JOIN sample_08 s08
ON ( s07.code = s08.code)
WHERE
s07.salary s08.salary
SORT BY s08.salary-s07.salary DESC
Ultimately there was not much different performance in any of the
executions, can someone clarify for me if I need an actual full cluster to
see performance improvements, or if I'm missing something else. I thought
at minimum I would have seen an improvement moving to ORC from TEXTFILE.
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