val nums = spark.range(2)
val letters = ('a' to 'c').map(_.toString).toDF("letter")
val q = nums.crossJoin(letters)
scala> q.explain
== Physical Plan ==
BroadcastNestedLoopJoin BuildRight, Cross
:- *Range (0, 2, step=1, splits=Some(8))
+- BroadcastExchange IdentityBroadcastMode
+- LocalTableScan [letter#69]
BroadcastNestedLoopJoinExec Binary Physical Operator
BroadcastNestedLoopJoinExec
is a binary physical operator (with two child left and right physical operators) that is created (and converted to) when JoinSelection physical plan strategy finds a Join logical operator that meets either case:
-
canBuildRight join type and
right
physical operator broadcastable -
canBuildLeft join type and
left
broadcastable -
non-
InnerLike
join type
Note
|
BroadcastNestedLoopJoinExec is the default physical operator when no other operators have matched selection requirements.
|
Note
|
canBuildRight join types are:
canBuildLeft join types are:
|
Name | Description |
---|---|
Number of output rows |
BuildSide | Left Child | Right Child |
---|---|---|
|
|
|
|
|
|
-
BroadcastDistribution
usesIdentityBroadcastMode
broadcast mode
Creating BroadcastNestedLoopJoinExec Instance
BroadcastNestedLoopJoinExec
takes the following when created:
-
Left physical operator
-
Right physical operator
-
Optional join condition expressions