Github user wzhfy commented on the issue:
https://github.com/apache/spark/pull/17286
@ioana-delaney Thanks for the replies.
> Given A J1 B J2 C: - case 1
⢠level 0: (A), (B), (C)
⢠level 1: {A, B}, ~~{A, C}~~, {B, C}
⢠level 3: {A, B, C}
Given A J1 B J2 C cross join D - case 2
⢠level 0: (A), (B), (C), (D)
⢠level 1: {A, B}, ~~{A, C}, {A, D}~~, {B, C}, ~~{B, D}~~
⢠level 3: {A, B, C}, ~~{A, B, D}, {A, C, D}, {B, C, D}~~
⢠level 4: {A, B, C, D}
Currently the algorithm can prune cartesian products in case 1. For case 2,
now it is based on the output of `ReorderJoin`, cartesian products are put at
the end. So we have the same effect on the final plan.
In the future, we can merge these rules together.
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