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Posted to issues@hive.apache.org by "Hive QA (Jira)" <ji...@apache.org> on 2020/02/04 08:10:00 UTC

[jira] [Commented] (HIVE-22808) HiveRelFieldTrimmer does not handle HiveTableFunctionScan

    [ https://issues.apache.org/jira/browse/HIVE-22808?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17029633#comment-17029633 ] 

Hive QA commented on HIVE-22808:
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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} 10m 56s{color} | {color:green} master passed {color} |
| {color:green}+1{color} | {color:green} compile {color} | {color:green}  1m 10s{color} | {color:green} master passed {color} |
| {color:green}+1{color} | {color:green} checkstyle {color} | {color:green}  0m 45s{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 1533 extant Findbugs warnings. {color} |
| {color:green}+1{color} | {color:green} javadoc {color} | {color:green}  1m  0s{color} | {color:green} master passed {color} |
|| || || || {color:brown} Patch Compile Tests {color} ||
| {color:green}+1{color} | {color:green} mvninstall {color} | {color:green}  1m 33s{color} | {color:green} the patch passed {color} |
| {color:green}+1{color} | {color:green} compile {color} | {color:green}  1m 13s{color} | {color:green} the patch passed {color} |
| {color:green}+1{color} | {color:green} javac {color} | {color:green}  1m 13s{color} | {color:green} the patch passed {color} |
| {color:red}-1{color} | {color:red} checkstyle {color} | {color:red}  0m 49s{color} | {color:red} ql: The patch generated 3 new + 0 unchanged - 2 fixed = 3 total (was 2) {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 38s{color} | {color:green} the patch passed {color} |
| {color:green}+1{color} | {color:green} javadoc {color} | {color:green}  1m  3s{color} | {color:green} the patch passed {color} |
|| || || || {color:brown} Other Tests {color} ||
| {color:green}+1{color} | {color:green} asflicense {color} | {color:green}  0m 17s{color} | {color:green} The patch does not generate ASF License warnings. {color} |
| {color:black}{color} | {color:black} {color} | {color:black} 28m  2s{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 3.16.43-2+deb8u5 (2017-09-19) x86_64 GNU/Linux |
| Build tool | maven |
| Personality | /data/hiveptest/working/yetus_PreCommit-HIVE-Build-20453/dev-support/hive-personality.sh |
| git revision | master / c0d5dce |
| Default Java | 1.8.0_111 |
| findbugs | v3.0.1 |
| checkstyle | http://104.198.109.242/logs//PreCommit-HIVE-Build-20453/yetus/diff-checkstyle-ql.txt |
| modules | C: ql U: ql |
| Console output | http://104.198.109.242/logs//PreCommit-HIVE-Build-20453/yetus.txt |
| Powered by | Apache Yetus    http://yetus.apache.org |


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> HiveRelFieldTrimmer does not handle HiveTableFunctionScan
> ---------------------------------------------------------
>
>                 Key: HIVE-22808
>                 URL: https://issues.apache.org/jira/browse/HIVE-22808
>             Project: Hive
>          Issue Type: Bug
>          Components: Query Planning
>            Reporter: Krisztian Kasa
>            Assignee: Krisztian Kasa
>            Priority: Major
>         Attachments: HIVE-22808.1.patch, HIVE-22808.2.patch, HIVE-22808.2.patch
>
>
> *Repro*
> {code:java}
> CREATE TABLE table_16 (
> timestamp_col_19    timestamp,
> timestamp_col_29    timestamp,
> int_col_27          int,
> int_col_39          int,
> boolean_col_18      boolean,
> varchar0045_col_23  varchar(45)
> );
> CREATE TABLE table_7 (
> int_col_10      int,
> bigint_col_3    bigint
> );
> CREATE TABLE table_10 (
> boolean_col_8       boolean,
> boolean_col_16      boolean,
> timestamp_col_5     timestamp,
> timestamp_col_15    timestamp,
> timestamp_col_30    timestamp,
> decimal3825_col_26  decimal(38, 25),
> smallint_col_9      smallint,
> int_col_18          int
> );
> explain cbo 
> SELECT
>     DISTINCT COALESCE(a4.timestamp_col_15, IF(a4.boolean_col_16, a4.timestamp_col_30, a4.timestamp_col_5)) AS timestamp_col
> FROM table_7 a3
> RIGHT JOIN table_10 a4 
> WHERE (a3.bigint_col_3) >= (a4.int_col_18)
> INTERSECT ALL
> SELECT
>     COALESCE(LEAST(
>         COALESCE(a1.timestamp_col_19, CAST('2010-03-29 00:00:00' AS TIMESTAMP)),
>         COALESCE(a1.timestamp_col_29, CAST('2014-08-16 00:00:00' AS TIMESTAMP))
>         ),
>         GREATEST(COALESCE(a1.timestamp_col_19, CAST('2013-07-01 00:00:00' AS TIMESTAMP)),
>         COALESCE(a1.timestamp_col_29, CAST('2028-06-18 00:00:00' AS TIMESTAMP)))
>     ) AS timestamp_col
> FROM table_16 a1
>     GROUP BY COALESCE(LEAST(
>         COALESCE(a1.timestamp_col_19, CAST('2010-03-29 00:00:00' AS TIMESTAMP)),
>         COALESCE(a1.timestamp_col_29, CAST('2014-08-16 00:00:00' AS TIMESTAMP))
>     ),
>     GREATEST(
>         COALESCE(a1.timestamp_col_19, CAST('2013-07-01 00:00:00' AS TIMESTAMP)),
>         COALESCE(a1.timestamp_col_29, CAST('2028-06-18 00:00:00' AS TIMESTAMP)))
>     );
> {code}
> CBO Plan contains unnecessary columns or all columns from a table in projections like:
> {code:java}
>                           HiveProject(int_col_10=[$0], bigint_col_3=[$1], BLOCK__OFFSET__INSIDE__FILE=[$2], INPUT__FILE__NAME=[$3], CAST=[CAST($4):RecordType(BIGINT writeid, INTEGER bucketid, BIGINT rowid)])
> {code}
> *Cause*
>  The plan contains a HiveTableFunctionScan operator:
> {code:java}
> HiveTableFunctionScan(invocation=[replicate_rows($0, $1)], rowType=[RecordType(BIGINT $f0, TIMESTAMP(9) $f1)])
> {code}
> HiveTableFunctionScan is not handled by HiveRelFieldTrimmer nor RelFieldTrimmer which suppose to remove unused columns in the CalcitePlanner.applyPreJoinOrderingTransforms(...) phase. The whole subtree rooted from HiveTableFunctionScan is ignored.
> Whole plan:
> {code:java}
> CBO PLAN:
> HiveProject($f0=[$1])
>   HiveTableFunctionScan(invocation=[replicate_rows($0, $1)], rowType=[RecordType(BIGINT $f0, TIMESTAMP(9) $f1)])
>     HiveProject($f0=[$2], $f1=[$0])
>       HiveFilter(condition=[=($1, 2)])
>         HiveAggregate(group=[{0}], agg#0=[count($1)], agg#1=[min($1)])
>           HiveProject($f0=[$0], $f1=[$1])
>             HiveUnion(all=[true])
>               HiveProject($f0=[$0], $f1=[$1])
>                 HiveAggregate(group=[{0}], agg#0=[count()])
>                   HiveProject($f0=[$0])
>                     HiveAggregate(group=[{0}])
>                       HiveProject($f0=[CASE(IS NOT NULL($7), $7, if($5, $8, $6))])
>                         HiveJoin(condition=[>=($1, $13)], joinType=[inner], algorithm=[none], cost=[not available])
>                           HiveProject(int_col_10=[$0], bigint_col_3=[$1], BLOCK__OFFSET__INSIDE__FILE=[$2], INPUT__FILE__NAME=[$3], CAST=[CAST($4):RecordType(BIGINT writeid, INTEGER bucketid, BIGINT rowid)])
>                             HiveFilter(condition=[IS NOT NULL($1)])
>                               HiveTableScan(table=[[default, table_7]], table:alias=[a3])
>                           HiveProject(boolean_col_16=[$0], timestamp_col_5=[$1], timestamp_col_15=[$2], timestamp_col_30=[$3], int_col_18=[$4], BLOCK__OFFSET__INSIDE__FILE=[$5], INPUT__FILE__NAME=[$6], ROW__ID=[$7], CAST=[CAST($4):BIGINT])
>                             HiveFilter(condition=[IS NOT NULL(CAST($4):BIGINT)])
>                               HiveTableScan(table=[[default, table_10]], table:alias=[a4])
>               HiveProject($f0=[$0], $f1=[$1])
>                 HiveAggregate(group=[{0}], agg#0=[count()])
>                   HiveProject($f0=[$0])
>                     HiveAggregate(group=[{0}])
>                       HiveProject($f0=[CASE(IS NOT NULL(least(CASE(IS NOT NULL($0), $0, 2010-03-29 00:00:00:TIMESTAMP(9)), CASE(IS NOT NULL($1), $1, 2014-08-16 00:00:00:TIMESTAMP(9)))), least(CASE(IS NOT NULL($0), $0, 2010-03-29 00:00:00:TIMESTAMP(9)), CASE(IS NOT NULL($1), $1, 2014-08-16 00:00:00:TIMESTAMP(9))), greatest(CASE(IS NOT NULL($0), $0, 2013-07-01 00:00:00:TIMESTAMP(9)), CASE(IS NOT NULL($1), $1, 2028-06-18 00:00:00:TIMESTAMP(9))))])
>                         HiveTableScan(table=[[default, table_16]], table:alias=[a1])
> {code}



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