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(Updated Dec. 27, 2013, 3:13 a.m.) Review request for hive. Bugs: HIVE-5945 https://issues.apache.org/jira/browse/HIVE-5945 Repository: hive-git Description ------- Here is an example {code} 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 order by i_item_id, s_state limit 100; {\code} I turned off noconditionaltask. So, I expected that there will be 4 Map-only jobs for this query. However, I got 1 Map-only job (joining strore_sales and date_dim) and 3 MR job (for reduce joins.) So, I checked the conditional task determining the plan of the join involving item. In ql.plan.ConditionalResolverCommonJoin.resolveMapJoinTask, aliasToFileSizeMap contains all input tables used in this query and the intermediate table generated by joining store_sales and date_dim. So, when we sum the size of all small tables, the size of store_sales (which is around 45GB in my test) will be also counted. Diffs (updated) ----- ql/src/java/org/apache/hadoop/hive/ql/exec/Utilities.java daf4e4a ql/src/java/org/apache/hadoop/hive/ql/optimizer/physical/CommonJoinTaskDispatcher.java 37ed275 ql/src/java/org/apache/hadoop/hive/ql/plan/ConditionalResolverCommonJoin.java f75e366 ql/src/test/org/apache/hadoop/hive/ql/plan/TestConditionalResolverCommonJoin.java 67203c9 ql/src/test/results/clientpositive/auto_join25.q.out 7427239 ql/src/test/results/clientpositive/infer_bucket_sort_convert_join.q.out 7d06739 ql/src/test/results/clientpositive/mapjoin_hook.q.out d60d16e Diff: https://reviews.apache.org/r/16172/diff/ Testing ------- Thanks, Navis Ryu