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https://issues.apache.org/jira/browse/HIVE-21382?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16792566#comment-16792566
]
Hive QA commented on HIVE-21382:
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| (x) *{color:red}-1 overall{color}* |
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|| Vote || Subsystem || Runtime || Comment ||
|| || || || {color:brown} Prechecks {color} ||
| {color:green}+1{color} | {color:green} @author {color} | {color:green} 0m
0s{color} | {color:green} The patch does not contain any @author tags. {color} |
|| || || || {color:brown} master Compile Tests {color} ||
| {color:green}+1{color} | {color:green} mvninstall {color} | {color:green} 8m
41s{color} | {color:green} master passed {color} |
| {color:green}+1{color} | {color:green} compile {color} | {color:green} 1m
14s{color} | {color:green} master passed {color} |
| {color:green}+1{color} | {color:green} checkstyle {color} | {color:green} 0m
42s{color} | {color:green} master passed {color} |
| {color:blue}0{color} | {color:blue} findbugs {color} | {color:blue} 4m
11s{color} | {color:blue} ql in master has 2257 extant Findbugs warnings.
{color} |
| {color:green}+1{color} | {color:green} javadoc {color} | {color:green} 1m
2s{color} | {color:green} master passed {color} |
|| || || || {color:brown} Patch Compile Tests {color} ||
| {color:green}+1{color} | {color:green} mvninstall {color} | {color:green} 1m
42s{color} | {color:green} the patch passed {color} |
| {color:green}+1{color} | {color:green} compile {color} | {color:green} 1m
14s{color} | {color:green} the patch passed {color} |
| {color:green}+1{color} | {color:green} javac {color} | {color:green} 1m
14s{color} | {color:green} the patch passed {color} |
| {color:green}+1{color} | {color:green} checkstyle {color} | {color:green} 0m
43s{color} | {color:green} the patch passed {color} |
| {color:green}+1{color} | {color:green} whitespace {color} | {color:green} 0m
0s{color} | {color:green} The patch has no whitespace issues. {color} |
| {color:green}+1{color} | {color:green} findbugs {color} | {color:green} 4m
17s{color} | {color:green} the patch passed {color} |
| {color:green}+1{color} | {color:green} javadoc {color} | {color:green} 1m
5s{color} | {color:green} the patch passed {color} |
|| || || || {color:brown} Other Tests {color} ||
| {color:red}-1{color} | {color:red} asflicense {color} | {color:red} 0m
15s{color} | {color:red} The patch generated 2 ASF License warnings. {color} |
| {color:black}{color} | {color:black} {color} | {color:black} 25m 44s{color} |
{color:black} {color} |
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|| Subsystem || Report/Notes ||
| Optional Tests | asflicense javac javadoc findbugs checkstyle compile |
| uname | Linux hiveptest-server-upstream 3.16.0-4-amd64 #1 SMP Debian
3.16.36-1+deb8u1 (2016-09-03) x86_64 GNU/Linux |
| Build tool | maven |
| Personality |
/data/hiveptest/working/yetus_PreCommit-HIVE-Build-16504/dev-support/hive-personality.sh
|
| git revision | master / a2892cd |
| Default Java | 1.8.0_111 |
| findbugs | v3.0.0 |
| asflicense |
http://104.198.109.242/logs//PreCommit-HIVE-Build-16504/yetus/patch-asflicense-problems.txt
|
| modules | C: ql U: ql |
| Console output |
http://104.198.109.242/logs//PreCommit-HIVE-Build-16504/yetus.txt |
| Powered by | Apache Yetus http://yetus.apache.org |
This message was automatically generated.
> Group by keys reduction optimization - keys are not reduced in query23
> ----------------------------------------------------------------------
>
> Key: HIVE-21382
> URL: https://issues.apache.org/jira/browse/HIVE-21382
> Project: Hive
> Issue Type: Improvement
> Reporter: Vineet Garg
> Assignee: Vineet Garg
> Priority: Major
> Labels: pull-request-available
> Attachments: HIVE-21382.1.patch, HIVE-21382.2.patch,
> HIVE-21382.2.patch, HIVE-21382.3.patch, HIVE-21382.4.patch
>
> Time Spent: 2h 50m
> Remaining Estimate: 0h
>
> {code:sql}
> explain cbo with frequent_ss_items as
> (select substr(i_item_desc,1,30) itemdesc,i_item_sk item_sk,d_date
> solddate,count(*) cnt
> from store_sales
> ,date_dim
> ,item
> where ss_sold_date_sk = d_date_sk
> and ss_item_sk = i_item_sk
> and d_year in (1999,1999+1,1999+2,1999+3)
> group by substr(i_item_desc,1,30),i_item_sk,d_date
> having count(*) >4)
> select sum(sales)
> from ((select cs_quantity*cs_list_price sales
> from catalog_sales
> ,date_dim
> where d_year = 1999
> and d_moy = 1
> and cs_sold_date_sk = d_date_sk
> and cs_item_sk in (select item_sk from frequent_ss_items))) subq
> limit 100;
> {code}
> {code:sql}
> HiveSortLimit(fetch=[100])
> HiveProject($f0=[$0])
> HiveAggregate(group=[{}], agg#0=[sum($0)])
> HiveProject(sales=[*(CAST($2):DECIMAL(10, 0), $3)])
> HiveSemiJoin(condition=[=($1, $5)], joinType=[inner])
> HiveJoin(condition=[=($0, $4)], joinType=[inner], algorithm=[none],
> cost=[{2.0 rows, 0.0 cpu, 0.0 io}])
> HiveProject(cs_sold_date_sk=[$0], cs_item_sk=[$15],
> cs_quantity=[$18], cs_list_price=[$20])
> HiveFilter(condition=[IS NOT NULL($0)])
> HiveTableScan(table=[[perf_constraints, catalog_sales]],
> table:alias=[catalog_sales])
> HiveProject(d_date_sk=[$0])
> HiveFilter(condition=[AND(=($6, 1999), =($8, 1))])
> HiveTableScan(table=[[perf_constraints, date_dim]],
> table:alias=[date_dim])
> HiveProject(i_item_sk=[$1])
> HiveFilter(condition=[>($3, 4)])
> HiveProject(substr=[$2], i_item_sk=[$1], d_date=[$0], $f3=[$3])
> HiveAggregate(group=[{3, 4, 5}], agg#0=[count()])
> HiveJoin(condition=[=($1, $4)], joinType=[inner],
> algorithm=[none], cost=[{2.0 rows, 0.0 cpu, 0.0 io}])
> HiveJoin(condition=[=($0, $2)], joinType=[inner],
> algorithm=[none], cost=[{2.0 rows, 0.0 cpu, 0.0 io}])
> HiveProject(ss_sold_date_sk=[$0], ss_item_sk=[$2])
> HiveFilter(condition=[IS NOT NULL($0)])
> HiveTableScan(table=[[perf_constraints,
> store_sales]], table:alias=[store_sales])
> HiveProject(d_date_sk=[$0], d_date=[$2])
> HiveFilter(condition=[IN($6, 1999, 2000, 2001, 2002)])
> HiveTableScan(table=[[perf_constraints, date_dim]],
> table:alias=[date_dim])
> HiveProject(i_item_sk=[$0], substr=[substr($4, 1, 30)])
> HiveTableScan(table=[[perf_constraints, item]],
> table:alias=[item])
> {code}
> Right side of HiveSemiJoin has an aggregate which could be reduce to have
> only {{i_item_sk}} as group by key since {{i_item_sk}} is primary key.
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