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SPARK-31658
SQL UI doesn't show write commands of AQE plan
NPE in OptimizeSkewedJoin when there's a inputRDD of plan has 0 partition
add metrics to AQE shuffle reader
AQE will use the same SubqueryExec even if subqueryReuseEnabled=false
add an individual config for skewed partition threshold
optimize skew join after shuffle partitions are coalesced
change the default value of minPartitionNum in AQE
Replace `Array` with `Seq` in AQE `CustomShuffleReaderExec`
make skew join split skewed partitions more evenly
Make more efficient and clean up AQE update UI code
Add config for AQE logging level
refine AQE config names
Don't cancel a QueryStageExec when it's already finished
Refactor AQE readers and RDDs
Remove the max split config after changing the multi sub joins to multi sub partitions
improve the splitting of skewed partitions
Turning off AQE in CacheManager is not thread-safe
Add the user guide for Adaptive Query Execution
Subqueries should not be AQE-ed if main query is not
Combine the skewed readers into one in AQE skew join optimizations
AQE should not issue a "not supported" warning for queries being by-passed
coalesce shuffle reader with splitting shuffle fetch request fails
Fix the subquery metrics showing issue in UI When enable AQE
Disable OptimizeSkewJoin rule if introducing additional shuffle.
reset the metrics info of AdaptiveSparkPlanExec plan when enable aqe
Fix the NoSuchElementException exception when enable AQE with InSubquery use case
The final AdaptiveSparkPlan event is not marked with `isFinalPlan=true`
Add adaptive execution context
remove ReusedQueryStageExec
Catch the exception when do materialize in AQE
Fix tests when enable Adaptive Query Execution
collect the runtime statistics of row count in map stage
Reading of csv file fails with adaptive execution turned on
Improve the local reader performance by changing the task number from 1 to multi
LocalShuffleReaderExec.outputPartitioning should use the corrected attributes
Optimize skewed join at runtime with new Adaptive Execution
Add tree traversal helper for adaptive spark plans
Avoid changing SMJ to BHJ if the build side has a high ratio of empty partitions
Dynamically reuse subqueries in AQE
Add a simple cost check for Adaptive Query Execution
Optimize shuffle reader to local shuffle reader when smj converted to bhj in adaptive execution
Adjust post shuffle partition number in adaptive execution
The basic framework for the new Adaptive Query Execution
Optimize shuffle fetch of contiguous partition IDs