GitHub user cloud-fan opened a pull request:

    https://github.com/apache/spark/pull/10311

    [SPARK-12321][SQL] JSON format for TreeNode (use reflection)

    An alternative solution for https://github.com/apache/spark/pull/10295 , 
instead of implementing json format for all logical/physical plans and 
expressions, use reflection to implement it in `TreeNode`.
    
    Here I use pre-order traversal to flattern a plan tree to a plan list, and 
add an extra field `num-children` to each plan node, so that we can reconstruct 
the tree from the list.
    
    Pros: much less code
    
    Cons: 
    
    * Prior to JDK8, the constructor parameter names are lost at runtime, they 
can only be retrieved if the compiler included debugging symbols.(do we always 
keep it when compile spark?)
    * add an dependency to https://github.com/paul-hammant/paranamer (shall we 
implement a simpler version of it and avoid the dependency?)
    
    TODO: think of a good way to test it
    
    example json:
    
    logical plan tree:
    ```
    Sort [i#12 ASC], false
    +- Project [(a#0 + 1) AS i#12,(a#0 * 2) AS j#13]
       +- LocalRelation [a#0]
    ```
    json:
    ```
    [ {
      "node-name" : "Sort",
      "order" : [ [ {
        "node-name" : "SortOrder",
        "direction" : "Ascending",
        "num-children" : 1
      }, {
        "node-name" : "AttributeReference",
        "name" : "i",
        "dataType" : "IntegerType",
        "nullable" : "true",
        "metadata" : "{}",
        "exprId" : "ExprId(10,9648d5fb-9710-4db6-ab1b-c0616805ce26)",
        "num-children" : 0
      } ] ],
      "global" : "false",
      "num-children" : 1
    }, {
      "node-name" : "Project",
      "projectList" : [ [ {
        "node-name" : "Alias",
        "name" : "i",
        "exprId" : "ExprId(10,9648d5fb-9710-4db6-ab1b-c0616805ce26)",
        "explicitMetadata" : "None",
        "num-children" : 1
      }, {
        "node-name" : "Add",
        "num-children" : 2
      }, {
        "node-name" : "AttributeReference",
        "name" : "a",
        "dataType" : "IntegerType",
        "nullable" : "true",
        "metadata" : "{}",
        "exprId" : "ExprId(0,9648d5fb-9710-4db6-ab1b-c0616805ce26)",
        "num-children" : 0
      }, {
        "node-name" : "Literal",
        "value" : "1",
        "dataType" : "IntegerType",
        "num-children" : 0
      } ], [ {
        "node-name" : "Alias",
        "name" : "j",
        "exprId" : "ExprId(11,9648d5fb-9710-4db6-ab1b-c0616805ce26)",
        "explicitMetadata" : "None",
        "num-children" : 1
      }, {
        "node-name" : "Multiply",
        "num-children" : 2
      }, {
        "node-name" : "AttributeReference",
        "name" : "a",
        "dataType" : "IntegerType",
        "nullable" : "true",
        "metadata" : "{}",
        "exprId" : "ExprId(0,9648d5fb-9710-4db6-ab1b-c0616805ce26)",
        "num-children" : 0
      }, {
        "node-name" : "Literal",
        "value" : "2",
        "dataType" : "IntegerType",
        "num-children" : 0
      } ] ],
      "num-children" : 1
    }, {
      "node-name" : "LocalRelation",
      "output" : [ [ {
        "node-name" : "AttributeReference",
        "name" : "a",
        "dataType" : "IntegerType",
        "nullable" : "true",
        "metadata" : "{}",
        "exprId" : "ExprId(0,9648d5fb-9710-4db6-ab1b-c0616805ce26)",
        "num-children" : 0
      } ] ],
      "num-children" : 0
    } ]
    ```


You can merge this pull request into a Git repository by running:

    $ git pull https://github.com/cloud-fan/spark toJson-reflection

Alternatively you can review and apply these changes as the patch at:

    https://github.com/apache/spark/pull/10311.patch

To close this pull request, make a commit to your master/trunk branch
with (at least) the following in the commit message:

    This closes #10311
    
----
commit 138f1364214eb24cbd8c1c0a5a98abca62c3df1e
Author: Wenchen Fan <[email protected]>
Date:   2015-12-15T14:31:37Z

    json format for TreeNode

----


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