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https://issues.apache.org/jira/browse/HIVE-23006?focusedWorklogId=418820&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-418820
]
ASF GitHub Bot logged work on HIVE-23006:
-----------------------------------------
Author: ASF GitHub Bot
Created on: 08/Apr/20 19:34
Start Date: 08/Apr/20 19:34
Worklog Time Spent: 10m
Work Description: jcamachor commented on pull request #952: HIVE-23006
ProbeDecode compiler support
URL: https://github.com/apache/hive/pull/952#discussion_r405765078
##########
File path: ql/src/java/org/apache/hadoop/hive/ql/parse/TezCompiler.java
##########
@@ -1482,18 +1490,131 @@ private void
removeSemijoinsParallelToMapJoin(OptimizeTezProcContext procCtx)
deque.addAll(op.getChildOperators());
}
}
+ // No need to remove SJ branches when we have semi-join reduction or when
semijoins are enabled for parallel mapjoins.
+ if
(!procCtx.conf.getBoolVar(ConfVars.TEZ_DYNAMIC_SEMIJOIN_REDUCTION_FOR_MAPJOIN))
{
+ if (semijoins.size() > 0) {
+ for (Entry<ReduceSinkOperator, TableScanOperator> semiEntry :
semijoins.entrySet()) {
+ SemiJoinBranchInfo sjInfo =
procCtx.parseContext.getRsToSemiJoinBranchInfo().get(semiEntry.getKey());
+ if (sjInfo.getIsHint() || !sjInfo.getShouldRemove()) {
+ // Created by hint, skip it
+ continue;
+ }
+ if (LOG.isDebugEnabled()) {
+ LOG.debug("Semijoin optimization with parallel edge to map join.
Removing semijoin " +
+ OperatorUtils.getOpNamePretty(semiEntry.getKey()) + " - " +
OperatorUtils.getOpNamePretty(semiEntry.getValue()));
+ }
+ GenTezUtils.removeBranch(semiEntry.getKey());
+ GenTezUtils.removeSemiJoinOperator(procCtx.parseContext,
semiEntry.getKey(), semiEntry.getValue());
+ }
+ }
+ }
+ if (procCtx.conf.getBoolVar(ConfVars.HIVE_OPTIMIZE_SCAN_PROBEDECODE)) {
+ if (probeDecodeMJoins.size() > 0) {
Review comment:
The path for `HIVE_OPTIMIZE_SCAN_PROBEDECODE` seems independent from SJ
optimization. Should we add a mechanism to remove the context for the
optimization when we think it is not going to be beneficial, e.g., it is not
filtering any data? Or you think that the cost of checking is negligible and we
should always apply this optimization? What do you experiments show in the
worst case scenario? (In any case, this could be tackled in a follow-up but I
wanted to ask)
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Issue Time Tracking
-------------------
Worklog Id: (was: 418820)
Time Spent: 2h (was: 1h 50m)
> Compiler support for Probe MapJoin
> ----------------------------------
>
> Key: HIVE-23006
> URL: https://issues.apache.org/jira/browse/HIVE-23006
> Project: Hive
> Issue Type: Sub-task
> Reporter: Panagiotis Garefalakis
> Assignee: Panagiotis Garefalakis
> Priority: Major
> Labels: pull-request-available
> Attachments: HIVE-23006.01.patch, HIVE-23006.02.patch
>
> Time Spent: 2h
> Remaining Estimate: 0h
>
> The decision of pushing down information to the Record reader (potentially
> reducing decoding time by row-level filtering) should be done at query
> compilation time.
> This patch adds an extra optimisation step with the goal of finding Table
> Scan operators that could reduce the number of rows decoded at runtime using
> extra available information.
> It currently looks for all the available MapJoin operators that could use the
> smaller HashTable on the probing side (where TS is) to filter-out rows that
> would never match.
> To do so the HashTable information is pushed down to the TS properties and
> then propagated as part of MapWork.
> If the a single TS is used by multiple operators (shared-word), this rule can
> not be applied.
> This rule can be extended to support static filter expressions like:
> _select * from sales where sold_state = 'PR';_
> This optimisation manly targets the Tez execution engine running on Llap.
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