[jira] [Created] (HIVE-6668) When auto join convert is on and noconditionaltask is off, ConditionalResolverCommonJoin fails to resolve map joins.

["Yin Huai (JIRA)" <ji...@apache.org>]

Yin Huai created HIVE-6668:
------------------------------

             Summary: When auto join convert is on and noconditionaltask is off, ConditionalResolverCommonJoin fails to resolve map joins.
                 Key: HIVE-6668
                 URL: https://issues.apache.org/jira/browse/HIVE-6668
             Project: Hive
          Issue Type: Bug
    Affects Versions: 0.13.0, 0.14.0
            Reporter: Yin Huai
            Priority: Blocker
             Fix For: 0.13.0


I tried the following query today ...
{code:sql}
set mapred.job.map.memory.mb=2048;
set mapred.job.reduce.memory.mb=2048;
set mapred.map.child.java.opts=-server -Xmx3072m -Djava.net.preferIPv4Stack=true;
set mapred.reduce.child.java.opts=-server -Xmx3072m -Djava.net.preferIPv4Stack=true;

set mapred.reduce.tasks=60;

set hive.stats.autogather=false;
set hive.exec.parallel=false;
set hive.enforce.bucketing=true;
set hive.enforce.sorting=true;
set hive.map.aggr=true;
set hive.optimize.bucketmapjoin=true;
set hive.optimize.bucketmapjoin.sortedmerge=true;
set hive.mapred.reduce.tasks.speculative.execution=false;
set hive.auto.convert.join=true;
set hive.auto.convert.sortmerge.join=true;
set hive.auto.convert.sortmerge.join.noconditionaltask=false;
set hive.auto.convert.join.noconditionaltask=false;
set hive.auto.convert.join.noconditionaltask.size=100000000;
set hive.optimize.reducededuplication=true;
set hive.optimize.reducededuplication.min.reducer=1;
set hive.input.format=org.apache.hadoop.hive.ql.io.HiveInputFormat;
set hive.mapjoin.smalltable.filesize=45000000;

set hive.optimize.index.filter=false;
set hive.vectorized.execution.enabled=false;
set hive.optimize.correlation=false;
select
   i_item_id,
   s_state,
   avg(ss_quantity) agg1,
   avg(ss_list_price) agg2,
   avg(ss_coupon_amt) agg3,
   avg(ss_sales_price) agg4
FROM store_sales
JOIN date_dim on (store_sales.ss_sold_date_sk = date_dim.d_date_sk)
JOIN item on (store_sales.ss_item_sk = item.i_item_sk)
JOIN customer_demographics on (store_sales.ss_cdemo_sk = customer_demographics.cd_demo_sk)
JOIN store on (store_sales.ss_store_sk = store.s_store_sk)
where
   cd_gender = 'F' and
   cd_marital_status = 'U' and
   cd_education_status = 'Primary' and
   d_year = 2002 and
   s_state in ('GA','PA', 'LA', 'SC', 'MI', 'AL')
group by i_item_id, s_state with rollup
order by
   i_item_id,
   s_state
limit 100;
{code}

The log shows ...
{code}
14/03/14 17:05:02 INFO plan.ConditionalResolverCommonJoin: Failed to resolve driver alias (threshold : 45000000, length mapping : {store=94175, store_sales=48713909726, item=39798667, customer_demographics=1660831, date_dim=2275902})
Stage-27 is filtered out by condition resolver.
14/03/14 17:05:02 INFO exec.Task: Stage-27 is filtered out by condition resolver.
Stage-28 is filtered out by condition resolver.
14/03/14 17:05:02 INFO exec.Task: Stage-28 is filtered out by condition resolver.
Stage-3 is selected by condition resolver.
{code}
Stage-3 is a reduce join. Actually, the resolver should pick the map join



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