Github user cloud-fan commented on a diff in the pull request:

    https://github.com/apache/spark/pull/17546#discussion_r110569876
  
    --- Diff: 
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/optimizer/CostBasedJoinReorder.scala
 ---
    @@ -327,3 +345,104 @@ object JoinReorderDP extends PredicateHelper with 
Logging {
     case class Cost(card: BigInt, size: BigInt) {
       def +(other: Cost): Cost = Cost(this.card + other.card, this.size + 
other.size)
     }
    +
    +/**
    + * Implements optional filters to reduce the search space for join 
enumeration.
    + *
    + * 1) Star-join filters: Plan star-joins together since they are assumed
    + *    to have an optimal execution based on their RI relationship.
    + * 2) Cartesian products: Defer their planning later in the graph to avoid
    + *    large intermediate results (expanding joins, in general).
    + * 3) Composite inners: Don't generate "bushy tree" plans to avoid 
materializing
    + *   intermediate results.
    + *
    + * Filters (2) and (3) are not implemented.
    + */
    +case class JoinReorderDPFilters(conf: SQLConf) extends PredicateHelper {
    +  /**
    +   * Builds join graph information to be used by the filtering strategies.
    +   * Currently, it builds the sets of star/non-star joins.
    +   * It can be extended with the sets of connected/unconnected joins, which
    +   * can be used to filter Cartesian products.
    +   */
    +  def buildJoinGraphInfo(
    --- End diff --
    
    please add parameter doc, especially for `planIndex`, what does it mean?


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