Thanks Thejas!

I tried the patch that you mentioned, that solves issue
https://issues.apache.org/jira/browse/PIG-1815
It helps a little, but as I try more complex scripts, the multiquery
failures come back. Below are the details.

I'm running pig compiled from
http://svn.apache.org/repos/asf/pig/branches/branch-0.8
checked out on Feb. 18, compiled with jdk1.6.0_24

My script does the following:
- read from disk a relation where each tuple has 10 fields, one of which is
a count
- take each non-count field in turn, group by it, and sum the counts for
each group.

Initially my script computed 5 such group-by-and-sum, which failed on the
non-patched pig-0.8.
With the patch, this script worked just fine.
I then ran a script that does 15 group-by-and-sum (grouping also by pairs of
fields). In this run, a couple of reducer attempts failed (Map output copy
failure : java.lang.OutOfMemoryError: Java heap space) but the job as a
whole succeeded.

I then ran a script that also does 15 group-bys, but for each group it
performs a more complex computation (I provide a code example below). This
time the job fails, and quickly. Just like above, a bunch of reducers fail
with the ³Java heap space² error; and the log of the entire job says:

Failed Jobs:
JobId   Alias   Feature Message Outputs
job_201101201235_0292
merged_rules,statLR_ccounts,statLR_rules,statLR_rules_grouped,statLR_tcounts
,statLR_tcounts_grouped,statLR_totals,statL_ccounts,statL_rules,statL_rules_
grouped,statL_tcounts,statL_tcounts_grouped,statL_totals,statLt_ccounts,stat
Lt_rules,statLt_rules_grouped,statLt_tcounts,statLt_tcounts_grouped,statLt_t
otals,statR_ccounts,statR_rules,statR_rules_grouped,statR_tcounts,statR_tcou
nts_grouped,statR_totals,statRt_ccounts,statRt_rules,statRt_rules_grouped,st
atRt_tcounts,statRt_tcounts_grouped,statRt_totals,statTLR_ccounts,statTLR_ru
les,statTLR_rules_grouped,statTLR_tcounts,statTLR_tcounts_grouped,statTLR_to
tals,statTL_ccounts,statTL_rules,statTL_rules_grouped,statTL_tcounts,statTL_
tcounts_grouped,statTL_totals,statTLtRt_ccounts,statTLtRt_rules,statTLtRt_ru
les_grouped,statTLtRt_tcounts,statTLtRt_tcounts_grouped,statTLtRt_totals,sta
tTLt_ccounts,statTLt_rules,statTLt_rules_grouped,statTLt_tcounts,statTLt_tco
unts_grouped,statTLt_totals,statTR_ccounts,statTR_rules,statTR_rules_grouped
,statTR_tcounts,statTR_tcounts_grouped,statTR_totals,statTRt_ccounts,statTRt
_rules,statTRt_rules_grouped,statTRt_tcounts,statTRt_tcounts_grouped,statTRt
_totals,statT_ccounts,statT_rules,statT_rules_grouped,statT_tcounts,statT_tc
ounts_grouped,statT_totals      MULTI_QUERY,COMBINER    Message: Job failed!

Input(s):
Failed to read data from
"hdfs://pig1/user/dmunteanu/RuleProcess.xTCxi/rules"

Output(s):

Counters:
Blah-blah

I¹m not sure why it complains about ³failed to read data²; my best guess is
that it¹s because the job fails even before all mappers could be run.
The exact same script runs just fine with ³no_multiquery², so the problem
has to come from the multiquery optimization.

Below is a sample of my script.
Basically, it groups by something and then:
* sums up all the counts for the members of the group
* computes, for all members of the group, counts-of-counts (i.e. how many
tuples in the group have the same count as the current tuple)
The example shows the computation for one group; this is the code is then
repeated (with different relation names) for the other groups

-- compute totals
statT_rules = FOREACH merged_rules GENERATE root, count;
statT_rules_grouped = GROUP statT_rules BY root PARALLEL 30;
statT_totals = FOREACH statT_rules_grouped GENERATE FLATTEN(group),
SUM(statT_rules.count) AS total;

-- compute truncated counts (tcounts) and counts-of-counts (ccounts)
statT_tcounts = FOREACH statT_rules GENERATE root, count, (count >= 5 ? 5 :
count) as tcount;
statT_tcounts_grouped = GROUP statT_tcounts BY (root,tcount) PARALLEL 30;
statT_ccounts = FOREACH statT_tcounts_grouped GENERATE FLATTEN(group),
COUNT(statT_tcounts) AS ccount;

-- join and print
statT_joined = JOIN statT_totals BY group, statT_ccounts BY root;
-- the join caused the root to appear twice (WHADJP,1L,WHADJP,1L,1L), get
rid of the second
statT_joined_filtered = FOREACH statT_joined GENERATE statT_totals::group AS
root, statT_totals::total AS total, statT_ccounts::group::tcount AS tcount,
statT_ccounts::ccount AS ccount;
statT_joined_grouped = GROUP statT_joined_filtered BY (root,total) PARALLEL
30;
statT_joined_print = FOREACH statT_joined_grouped GENERATE FLATTEN(group),
statT_joined_filtered.(tcount,ccount);

STORE statT_joined_print INTO 'RuleProcess.xTCxi.2/stats.root' using
PigStorage;


Many thanks,
Dragos


On 2/18/11 1:08 PM, "Thejas M Nair" <[email protected]> wrote:

> Hi Dragos,
> You might be facing this issue -
> https://issues.apache.org/jira/browse/PIG-1815, it has been resolved in pig
> 0.8 branch after the official release.
> We are likely to release a new 0.8 patch (pending discussion) with the
> fixes. Does your pig jar have this fix ?
> If not , can you please try building with
> http://svn.apache.org/repos/asf/pig/branches/branch-0.8 and try again with
> the new jar?
> 
> 
> 
> 
> On 2/18/11 12:26 PM, "Dragos Munteanu" <[email protected]> wrote:
> 
>> Hi all,
>> 
>> I have a Pig script that only runs if I turn on "-no_multiquery".
> 
> 
>  
>> 
>> My questions are:
>> - is it expected that Pig's multiquery execution would create enough of an
>> overhead that the execution should fail?
> 
> It is not expected to fail.
> 
>> - can someone explain (or point me to an explanation) of where the
>> multiquery overhead comes from? I'd really like to understand it
> 
> In case of multi-query you end up doing more computation per task, so an
> issue such as one PIG-1815 might not be causing failures in the non
> multiquery case. Also PIG-1815 is caused by physical plan copies not being
> freed and multi-query physical plan will be larger.
> 
>> - is there a better way to write the pig code to do that computation? Maybe
>> I can re-structure my computation, or configure my cluster differently? Or
>> am I stuck with a no_multiquery execution?
> 
> If your query does not work with latest from 0.8 branch, please let us know.
> -Thejas
> 

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