== Abstract Syntax Tree ==
LogicalSink(table=[default_catalog.default_database.sink], fields=[id, name, starttime])
+- LogicalProject(id=[$0], name=[$1], starttime=[$2])
   +- LogicalJoin(condition=[AND(=($0, $4), =($2, $5), =($3, $6))], joinType=[inner])
      :- LogicalAggregate(group=[{0, 1, 2, 3}])
      :  +- LogicalProject(id=[$0], name=[$1], starttime=[$8], endtime=[$9])
      :     +- LogicalTableFunctionScan(invocation=[TUMBLE(TABLE(#0), DESCRIPTOR(_UTF-16LE'dateTime'), 10000:INTERVAL SECOND)], rowType=[RecordType(BIGINT id, VARCHAR(2147483647) name, VARCHAR(2147483647) emailAddress, VARCHAR(2147483647) creditCard, VARCHAR(2147483647) city, VARCHAR(2147483647) state, TIMESTAMP_LTZ(3) *ROWTIME* dateTime, VARCHAR(2147483647) extra, TIMESTAMP(3) window_start, TIMESTAMP(3) window_end, TIMESTAMP_LTZ(3) *ROWTIME* window_time)])
      :        +- LogicalProject(id=[$0], name=[$1], emailAddress=[$2], creditCard=[$3], city=[$4], state=[$5], dateTime=[$6], extra=[$7])
      :           +- LogicalProject(id=[$1.id], name=[$1.name], emailAddress=[$1.emailAddress], creditCard=[$1.creditCard], city=[$1.city], state=[$1.state], dateTime=[$5], extra=[$1.extra])
      :              +- LogicalFilter(condition=[=($0, 0)])
      :                 +- LogicalWatermarkAssigner(rowtime=[rowtime], watermark=[-($5, 4000:INTERVAL SECOND)])
      :                    +- LogicalProject(event_type=[$0], person=[$1], auction=[$2], bid=[$3], dateTime=[$4], rowtime=[TO_TIMESTAMP_LTZ($4, 3)])
      :                       +- LogicalTableScan(table=[[default_catalog, default_database, src]])
      +- LogicalAggregate(group=[{0, 1, 2}])
         +- LogicalProject(seller=[$7], starttime=[$10], endtime=[$11])
            +- LogicalTableFunctionScan(invocation=[TUMBLE(TABLE(#0), DESCRIPTOR(_UTF-16LE'dateTime'), 10000:INTERVAL SECOND)], rowType=[RecordType(BIGINT id, VARCHAR(2147483647) itemName, VARCHAR(2147483647) description, BIGINT initialBid, BIGINT reserve, TIMESTAMP_LTZ(3) *ROWTIME* dateTime, TIMESTAMP_WITH_LOCAL_TIME_ZONE(3) expires, BIGINT seller, BIGINT category, VARCHAR(2147483647) extra, TIMESTAMP(3) window_start, TIMESTAMP(3) window_end, TIMESTAMP_LTZ(3) *ROWTIME* window_time)])
               +- LogicalProject(id=[$0], itemName=[$1], description=[$2], initialBid=[$3], reserve=[$4], dateTime=[$5], expires=[$6], seller=[$7], category=[$8], extra=[$9])
                  +- LogicalProject(id=[$2.id], itemName=[$2.itemName], description=[$2.description], initialBid=[$2.initialBid], reserve=[$2.reserve], dateTime=[$5], expires=[TO_TIMESTAMP_LTZ($2.expires, 3)], seller=[$2.seller], category=[$2.category], extra=[$2.extra])
                     +- LogicalFilter(condition=[=($0, 1)])
                        +- LogicalWatermarkAssigner(rowtime=[rowtime], watermark=[-($5, 4000:INTERVAL SECOND)])
                           +- LogicalProject(event_type=[$0], person=[$1], auction=[$2], bid=[$3], dateTime=[$4], rowtime=[TO_TIMESTAMP_LTZ($4, 3)])
                              +- LogicalTableScan(table=[[default_catalog, default_database, src]])

== Optimized Physical Plan ==
NativePaimonSink(reuseBarrier=[1185])
+- NativeCalc(reuseBarrier=[1184])
   +- NativeWindowJoin(reuseBarrier=[1183])
      :- NativeColumnarExchange(reuseBarrier=[1168])
      :  +- NativeColumnarGlobalWindowAggregate(reuseBarrier=[1167])
      :     +- NativeColumnarExchange(reuseBarrier=[1166])
      :        +- NativeColumnarLocalWindowAggregate(reuseBarrier=[1165])
      :           +- NativeCalc(reuseBarrier=[1164])
      :              +- NativeShare(consumers=[2], shareToken=[1162])
      :                 +- NativeKafkaDecode(topic=[nexmark], format=[json], watermarkColumn=[dateTime], watermarkExpression=[-(TO_TIMESTAMP_LTZ($4, 3), 4000:INTERVAL SECOND)], shareToken=[1162])
      +- NativeColumnarExchange(reuseBarrier=[1182])
         +- NativeColumnarGlobalWindowAggregate(reuseBarrier=[1181])
            +- NativeColumnarExchange(reuseBarrier=[1180])
               +- NativeColumnarLocalWindowAggregate(reuseBarrier=[1179])
                  +- NativeCalc(reuseBarrier=[1178])
                     +- NativeShare(consumers=[2], shareToken=[1162])
                        +- NativeKafkaDecode(topic=[nexmark], format=[json], watermarkColumn=[dateTime], watermarkExpression=[-(TO_TIMESTAMP_LTZ($4, 3), 4000:INTERVAL SECOND)], shareToken=[1162])

== Optimized Execution Plan ==
NativePaimonSink
+- NativeCalc
   +- NativeWindowJoin
      :- NativeColumnarExchange
      :  +- NativeColumnarGlobalWindowAggregate
      :     +- NativeColumnarExchange
      :        +- NativeColumnarLocalWindowAggregate
      :           +- NativeCalc
      :              +- NativeShare(consumers=[2])(reuse_id=[1])
      :                 +- NativeKafkaDecode(topic=[nexmark], format=[json], watermarkColumn=[dateTime], watermarkExpression=[-(TO_TIMESTAMP_LTZ($4, 3), 4000:INTERVAL SECOND)])
      +- NativeColumnarExchange
         +- NativeColumnarGlobalWindowAggregate
            +- NativeColumnarExchange
               +- NativeColumnarLocalWindowAggregate
                  +- NativeCalc
                     +- Reused(reference_id=[1])

== Physical Execution Plan ==
{
  "nodes" : [ {
    "id" : 2157,
    "type" : "Source: native-kafka-source",
    "pact" : "Data Source",
    "contents" : "Source: native-kafka-source",
    "parallelism" : 4
  }, {
    "id" : 2158,
    "type" : "NativeShareExecNode[1074]",
    "pact" : "Operator",
    "contents" : "[1074]:NativeShare(consumers=[2])",
    "parallelism" : 4,
    "predecessors" : [ {
      "id" : 2157,
      "ship_strategy" : "FORWARD",
      "side" : "second"
    } ]
  }, {
    "id" : 2159,
    "type" : "NativeCalcExecNode[1075]",
    "pact" : "Operator",
    "contents" : "[1075]:NativeCalc",
    "parallelism" : 4,
    "predecessors" : [ {
      "id" : 2158,
      "ship_strategy" : "FORWARD",
      "side" : "second"
    } ]
  }, {
    "id" : 2160,
    "type" : "NativeColumnarLocalWindowAggExecNode[1076]",
    "pact" : "Operator",
    "contents" : "[1076]:NativeColumnarLocalWindowAggregate",
    "parallelism" : 4,
    "predecessors" : [ {
      "id" : 2159,
      "ship_strategy" : "FORWARD",
      "side" : "second"
    } ]
  }, {
    "id" : 2161,
    "type" : "NativeColumnarExchangeExecNode[1077]",
    "pact" : "Operator",
    "contents" : "[1077]:NativeColumnarExchange",
    "parallelism" : 4,
    "predecessors" : [ {
      "id" : 2160,
      "ship_strategy" : "FORWARD",
      "side" : "second"
    } ]
  }, {
    "id" : 2163,
    "type" : "NativeColumnarGlobalWindowAggExecNode[1078]",
    "pact" : "Operator",
    "contents" : "[1078]:NativeColumnarGlobalWindowAggregate",
    "parallelism" : 4,
    "predecessors" : [ {
      "id" : 2161,
      "ship_strategy" : "columnar-key-group",
      "side" : "second"
    } ]
  }, {
    "id" : 2164,
    "type" : "NativeColumnarExchangeExecNode[1079]",
    "pact" : "Operator",
    "contents" : "[1079]:NativeColumnarExchange",
    "parallelism" : 4,
    "predecessors" : [ {
      "id" : 2163,
      "ship_strategy" : "FORWARD",
      "side" : "second"
    } ]
  }, {
    "id" : 2166,
    "type" : "NativeCalcExecNode[1080]",
    "pact" : "Operator",
    "contents" : "[1080]:NativeCalc",
    "parallelism" : 4,
    "predecessors" : [ {
      "id" : 2158,
      "ship_strategy" : "FORWARD",
      "side" : "second"
    } ]
  }, {
    "id" : 2167,
    "type" : "NativeColumnarLocalWindowAggExecNode[1081]",
    "pact" : "Operator",
    "contents" : "[1081]:NativeColumnarLocalWindowAggregate",
    "parallelism" : 4,
    "predecessors" : [ {
      "id" : 2166,
      "ship_strategy" : "FORWARD",
      "side" : "second"
    } ]
  }, {
    "id" : 2168,
    "type" : "NativeColumnarExchangeExecNode[1082]",
    "pact" : "Operator",
    "contents" : "[1082]:NativeColumnarExchange",
    "parallelism" : 4,
    "predecessors" : [ {
      "id" : 2167,
      "ship_strategy" : "FORWARD",
      "side" : "second"
    } ]
  }, {
    "id" : 2170,
    "type" : "NativeColumnarGlobalWindowAggExecNode[1083]",
    "pact" : "Operator",
    "contents" : "[1083]:NativeColumnarGlobalWindowAggregate",
    "parallelism" : 4,
    "predecessors" : [ {
      "id" : 2168,
      "ship_strategy" : "columnar-key-group",
      "side" : "second"
    } ]
  }, {
    "id" : 2171,
    "type" : "NativeColumnarExchangeExecNode[1084]",
    "pact" : "Operator",
    "contents" : "[1084]:NativeColumnarExchange",
    "parallelism" : 4,
    "predecessors" : [ {
      "id" : 2170,
      "ship_strategy" : "FORWARD",
      "side" : "second"
    } ]
  }, {
    "id" : 2173,
    "type" : "NativeWindowJoinExecNode[1085]",
    "pact" : "Operator",
    "contents" : "[1085]:NativeWindowJoin",
    "parallelism" : 4,
    "predecessors" : [ {
      "id" : 2164,
      "ship_strategy" : "columnar-key-group",
      "side" : "second"
    }, {
      "id" : 2171,
      "ship_strategy" : "columnar-key-group",
      "side" : "second"
    } ]
  }, {
    "id" : 2174,
    "type" : "NativeCalcExecNode[1086]",
    "pact" : "Operator",
    "contents" : "[1086]:NativeCalc",
    "parallelism" : 4,
    "predecessors" : [ {
      "id" : 2173,
      "ship_strategy" : "FORWARD",
      "side" : "second"
    } ]
  }, {
    "id" : 2175,
    "type" : "native-paimon-bucket-route",
    "pact" : "Operator",
    "contents" : "native-paimon-bucket-route",
    "parallelism" : 4,
    "predecessors" : [ {
      "id" : 2174,
      "ship_strategy" : "FORWARD",
      "side" : "second"
    } ]
  }, {
    "id" : 2177,
    "type" : "Writer : table",
    "pact" : "Operator",
    "contents" : "Writer : table",
    "parallelism" : 4,
    "predecessors" : [ {
      "id" : 2175,
      "ship_strategy" : "shuffle by bucket",
      "side" : "second"
    } ]
  }, {
    "id" : 2178,
    "type" : "Global Committer : table",
    "pact" : "Operator",
    "contents" : "Global Committer : table",
    "parallelism" : 1,
    "predecessors" : [ {
      "id" : 2177,
      "ship_strategy" : "REBALANCE",
      "side" : "second"
    } ]
  }, {
    "id" : 2185,
    "type" : "end: Writer",
    "pact" : "Operator",
    "contents" : "end: Writer",
    "parallelism" : 1,
    "predecessors" : [ {
      "id" : 2178,
      "ship_strategy" : "FORWARD",
      "side" : "second"
    } ]
  } ]
}