Enable Estimated Stats on Query Plan for Instrumentation Monitoring

[fgwang7w]

Test plan - (Please fill in how you tested your changes)
Enforce a testcase to verify the plan entirety with stats info using graphviz format and json format

== RELEASE NOTES ==

General Changes
* Add estimated stats on plan output for EXPLAIN format in GRAPHVIZ and JSON

Before Change:

                                                                                                                    Query Plan
---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
 {
   "id" : "5",
   "name" : "Output",
   "identifier" : "[key1, value1]",
   "details" : "",
   "children" : [ {
     "id" : "80",
     "name" : "RemoteStreamingExchange",
     "identifier" : "[GATHER]",
     "details" : "",
     "children" : [ {
       "id" : "0",
       "name" : "TableScan",
       "identifier" : "[TableHandle {connectorId='hive', connectorHandle='HiveTableHandle{schemaName=default, tableName=test_grouped_join1, analyzePartitionValues=Optional.empty}', layout='Optional[default.test_grouped_join1{buckets=13}]'}]",
       "details" : "LAYOUT: default.test_grouped_join1{buckets=13}\nvalue1 := value1:varchar(79):1:REGULAR (1:37)\nkey1 := key1:bigint:0:REGULAR (1:37)\n",
       "children" : [ ],
       "remoteSources" : [ ]
     } ],
     "remoteSources" : [ ]
   } ],
   "remoteSources" : [ ]
 }
(1 row)

Query 20221212_231733_00000_2kdqx, FINISHED, 1 node
Splits: 1 total, 1 done (100.00%)
0:01 [0 rows, 0B] [0 rows/s, 0B/s]

After Change:

                                                                                                                    Query Plan
---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
 {
   "id" : "5",
   "name" : "Output",
   "identifier" : "[key1, value1]",
   "details" : "",
   "children" : [ {
     "id" : "80",
     "name" : "RemoteStreamingExchange",
     "identifier" : "[GATHER]",
     "details" : "",
     "children" : [ {
       "id" : "0",
       "name" : "TableScan",
       "identifier" : "[TableHandle {connectorId='hive', connectorHandle='HiveTableHandle{schemaName=default, tableName=test_grouped_join1, analyzePartitionValues=Optional.empty}', layout='Optional[default.test_grouped_join1{buckets=13}]'}]",
       "details" : "LAYOUT: default.test_grouped_join1{buckets=13}\nvalue1 := value1:varchar(79):1:REGULAR (1:37)\nkey1 := key1:bigint:0:REGULAR (1:37)\n",
       "children" : [ ],
       "remoteSources" : [ ],
       "estimates" : [ {
         "outputRowCount" : 15000.0,
         "totalSize" : 1057364.0,
         "confident" : true,
         "variableStatistics" : {
           "value1<varchar(79)>" : {
             "lowValue" : "-Infinity",
             "highValue" : "Infinity",
             "nullsFraction" : 0.0,
             "averageRowSize" : 48.49093333333333,
             "distinctValuesCount" : 15000.0
           },
           "key1<bigint>" : {
             "lowValue" : 1.0,
             "highValue" : 60000.0,
             "nullsFraction" : 0.0,
             "averageRowSize" : "NaN",
             "distinctValuesCount" : 15000.0
           }
         }
       } ]
     } ],
     "remoteSources" : [ ],
     "estimates" : [ {
       "outputRowCount" : 15000.0,
       "totalSize" : 1057364.0,
       "confident" : true,
       "variableStatistics" : {
         "value1<varchar(79)>" : {
           "lowValue" : "-Infinity",
           "highValue" : "Infinity",
           "nullsFraction" : 0.0,
           "averageRowSize" : 48.49093333333333,
           "distinctValuesCount" : 15000.0
         },
         "key1<bigint>" : {
           "lowValue" : 1.0,
           "highValue" : 60000.0,
           "nullsFraction" : 0.0,
           "averageRowSize" : "NaN",
           "distinctValuesCount" : 15000.0
         }
       }
     } ]
   } ],
   "remoteSources" : [ ],
   "estimates" : [ {
     "outputRowCount" : 15000.0,
     "totalSize" : 1057364.0,
     "confident" : true,
     "variableStatistics" : {
       "value1<varchar(79)>" : {
         "lowValue" : "-Infinity",
         "highValue" : "Infinity",
         "nullsFraction" : 0.0,
         "averageRowSize" : 48.49093333333333,
         "distinctValuesCount" : 15000.0
       },
       "key1<bigint>" : {
         "lowValue" : 1.0,
         "highValue" : 60000.0,
         "nullsFraction" : 0.0,
         "averageRowSize" : "NaN",
         "distinctValuesCount" : 15000.0
       }
     }
   } ]
 }
(1 row)

[fgwang7w]

@aaneja could you please help give a first pass on this PR? Thanks!

[v-jizhang]

@bot kick off tests

[aaneja]

Some minor comments, but LGTM otherwise

[aaneja]

LGTM, minor comments

[yingsu00]

@fgwang7w George, Could you paste some sample of the plan output for both before and after?

[fgwang7w]

@yingsu00 thank you for the review. I have updated the before/after change. All comments are addressed. Could you please help take a look again?

[fgwang7w]

Thank you @yingsu00 for helping review the PR. All comments are addressed. could you please help give another pass? Thanks!

[fgwang7w]

@prestodb/committers ping!

[yingsu00]

@fgwang7w Could you please show me how you resolved the TypeManager initialization issue in presto-main/src/main/java/com/facebook/presto/sql/Serialization.java?

[yingsu00]

Is this paragraph still valid?

[fgwang7w]

The fix to avoid using createTestFunctionAndTypeManager in Serialization main code path is to create a json mapper provider using the SerDe function for VariableReferenceExpression and use this custom json codec for serialization. This does not need any special no-args handling on the testing code path, e.g. TestExplainVerification, the planCodec is bind with JsonObjectMapperProvider that uses VariableReferenceExpressionDeserializer.

[fgwang7w]

tests all green. Many thanks for reviewing and approving this PR. @yingsu00 @aaneja