// alias confict should not happen here.
return;
}
}
MapredLocalWork mapJoinLocalWork = mapJoinMapWork.getMapRedLocalWork();
MapredLocalWork childLocalWork = childMapWork.getMapRedLocalWork();
if ((mapJoinLocalWork != null && mapJoinLocalWork.getBucketMapjoinContext() != null) ||
(childLocalWork != null && childLocalWork.getBucketMapjoinContext() != null)) {
// Right now, we do not handle the case that either of them is bucketed.
// We should relax this constraint with a follow-up jira.
return;
}
// We need to check if the total size of local tables is under the limit.
// At here, we are using a strong condition, which is the total size of
// local tables used by all input paths. Actually, we can relax this condition
// to check the total size of local tables for every input path.
// Example:
// UNION_ALL
// / \
// / \
// / \
// / \
// MapJoin1 MapJoin2
// / | \ / | \
// / | \ / | \
// Big1 S1 S2 Big2 S3 S4
// In this case, we have two MapJoins, MapJoin1 and MapJoin2. Big1 and Big2 are two
// big tables, and S1, S2, S3, and S4 are four small tables. Hash tables of S1 and S2
// will only be used by Map tasks processing Big1. Hash tables of S3 and S4 will only
// be used by Map tasks processing Big2. If Big1!=Big2, we should only check if the size
// of S1 + S2 is under the limit, and if the size of S3 + S4 is under the limit.
// But, right now, we are checking the size of S1 + S2 + S3 + S4 is under the limit.
// If Big1=Big2, we will only scan a path once. So, MapJoin1 and MapJoin2 will be executed
// in the same Map task. In this case, we need to make sure the size of S1 + S2 + S3 + S4
// is under the limit.
if (!isLocalTableTotalSizeUnderLimitAfterMerge(conf, mapJoinLocalWork, childLocalWork)){
// The total size of local tables may not be under
// the limit after we merge mapJoinLocalWork and childLocalWork.
// Do not merge.
return;
}
TableScanOperator childMRTaskTableScanOperator =
OperatorUtils.findSingleOperator(
childMapWork.getAliasToWork().get(childMRAlias), TableScanOperator.class);
if (childMRTaskTableScanOperator == null) {
throw new SemanticException("Expected a " + TableScanOperator.getOperatorName() +
" operator as the work associated with alias " + childMRAlias +
". Found a " + childMapWork.getAliasToWork().get(childMRAlias).getName() + " operator.");
}
List<Operator<? extends OperatorDesc>> parentsInMapJoinTask =
mapJoinTaskFileSinkOperator.getParentOperators();
List<Operator<? extends OperatorDesc>> childrenInChildMRTask =
childMRTaskTableScanOperator.getChildOperators();
if (parentsInMapJoinTask.size() > 1 || childrenInChildMRTask.size() > 1) {
// Do not merge if we do not know how to connect two operator trees.
return;
}
// Step 2: Merge mapJoinTask into the Map-side of its child.
// Step 2.1: Connect the operator trees of two MapRedTasks.
Operator<? extends OperatorDesc> parentInMapJoinTask = parentsInMapJoinTask.get(0);
Operator<? extends OperatorDesc> childInChildMRTask = childrenInChildMRTask.get(0);
parentInMapJoinTask.replaceChild(mapJoinTaskFileSinkOperator, childInChildMRTask);
childInChildMRTask.replaceParent(childMRTaskTableScanOperator, parentInMapJoinTask);
// Step 2.2: Replace the corresponding part childMRWork's MapWork.
GenMapRedUtils.replaceMapWork(mapJoinAlias, childMRAlias, mapJoinMapWork, childMapWork);
// Step 2.3: Fill up stuff in local work
if (mapJoinLocalWork != null) {
if (childLocalWork == null) {
childMapWork.setMapRedLocalWork(mapJoinLocalWork);
} else {
childLocalWork.getAliasToFetchWork().putAll(mapJoinLocalWork.getAliasToFetchWork());
childLocalWork.getAliasToWork().putAll(mapJoinLocalWork.getAliasToWork());
}
}
// Step 2.4: Remove this MapJoin task
List<Task<? extends Serializable>> parentTasks = mapJoinTask.getParentTasks();