Support multiple paths for ListingTableScanNode

[Ted-Jiang]

Which issue does this PR close?

Closes #2768.

Rationale for this change

Sometimes we need pass multi-path in ListingTableScanNode , like in spark
https://github.com/apache/spark/blob/a8a765b3f302c078cb9519c4a17912cd38b9680c/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/FileIndex.scala#L36-L43

trait FileIndex {


  /**
   * Returns the list of root input paths from which the catalog will get files. There may be a
   * single root path from which partitions are discovered, or individual partitions may be
   * specified by each path.
   */
  def rootPaths: Seq[Path]

Are there any user-facing changes?

pub fn table_paths(&self) -> &Vec<ListingTableUrl> {
        &self.table_paths
    }

will return a vec

[Ted-Jiang]

will add UT soon.

[codecov-commenter]

Codecov Report

Merging #2775 (d875fff) into master (748b6a6) will decrease coverage by 0.00%.
The diff coverage is 87.27%.

@@            Coverage Diff             @@
##           master    #2775      +/-   ##
==========================================
- Coverage   84.95%   84.94%   -0.01%     
==========================================
  Files         271      272       +1     
  Lines       48164    48256      +92     
==========================================
+ Hits        40916    40993      +77     
- Misses       7248     7263      +15     

Impacted Files	Coverage Δ
datafusion/core/src/datasource/listing/table.rs	89.13% <85.41%> (-1.23%)	⬇️
datafusion/proto/src/logical_plan.rs	17.95% <100.00%> (+0.33%)	⬆️
datafusion/optimizer/src/filter_null_join_keys.rs	91.83% <0.00%> (-2.05%)	⬇️
datafusion/expr/src/logical_plan/plan.rs	73.71% <0.00%> (-0.60%)	⬇️
datafusion/core/src/execution/context.rs	78.37% <0.00%> (-0.28%)	⬇️
datafusion/optimizer/src/utils.rs	35.56% <0.00%> (ø)
datafusion/core/src/config.rs	91.11% <0.00%> (ø)
datafusion/core/src/physical_plan/hash_join.rs	94.68% <0.00%> (+0.57%)	⬆️

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[alamb]

Looks like a nice change to me -- nice work @Ted-Jiang

cc @liukun4515 feel free to review and merge such PRs too

[alamb]

FYI @tustvold

[Ted-Jiang]

@alamb Thanks❤️