== Abstract Syntax Tree ==
LogicalSink(table=[fluss.nexmark.output_f47857a309d6458b9466c6b9d5e6e4ae], fields=[channel, day, minute, total_bids, rank1_bids, rank2_bids, rank3_bids, total_bidders, rank1_bidders, rank2_bidders, rank3_bidders, total_auctions, rank1_auctions, rank2_auctions, rank3_auctions])
+- LogicalAggregate(group=[{0, 1}], minute=[MAX($2)], total_bids=[COUNT()], rank1_bids=[COUNT() FILTER $3], rank2_bids=[COUNT() FILTER $4], rank3_bids=[COUNT() FILTER $5], total_bidders=[COUNT(DISTINCT $6)], rank1_bidders=[COUNT(DISTINCT $6) FILTER $3], rank2_bidders=[COUNT(DISTINCT $6) FILTER $4], rank3_bidders=[COUNT(DISTINCT $6) FILTER $5], total_auctions=[COUNT(DISTINCT $7)], rank1_auctions=[COUNT(DISTINCT $7) FILTER $3], rank2_auctions=[COUNT(DISTINCT $7) FILTER $4], rank3_auctions=[COUNT(DISTINCT $7) FILTER $5])
   +- LogicalProject(channel=[$3], day=[DATE_FORMAT($5, _UTF-16LE'yyyy-MM-dd')], $f2=[DATE_FORMAT($5, _UTF-16LE'HH:mm')], $f3=[IS TRUE(<($2, 10000))], $f4=[IS TRUE(SEARCH($2, Sarg[[10000..1000000)]))], $f5=[IS TRUE(>=($2, 1000000))], bidder=[$1], auction=[$0])
      +- LogicalProject(auction=[$3.auction], bidder=[$3.bidder], price=[$3.price], channel=[$3.channel], url=[$3.url], dateTime=[$5], extra=[$3.extra])
         +- LogicalFilter(condition=[=($0, 2)])
            +- LogicalProject(event_type=[$0], person=[$1], auction=[$2], bid=[$3], dateTime=[$4], rowtime=[$5])
               +- 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=[[fluss, nexmark, events]])

== Optimized Physical Plan ==
Sink(table=[fluss.nexmark.output_f47857a309d6458b9466c6b9d5e6e4ae], fields=[channel, day, minute, total_bids, rank1_bids, rank2_bids, rank3_bids, total_bidders, rank1_bidders, rank2_bidders, rank3_bidders, total_auctions, rank1_auctions, rank2_auctions, rank3_auctions])
+- ArrowToRowData(reuseBarrier=[2121])
   +- NativeColumnarGroupAggregate(reuseBarrier=[2120])
      +- NativeColumnarExchange(reuseBarrier=[2119])
         +- NativeColumnarLocalGroupAggregate(reuseBarrier=[2118])
            +- NativeCalc(reuseBarrier=[2117])
               +- NativeMiniBatchAssigner(reuseBarrier=[2116])
                  +- NativeFlussSource(table=[nexmark.events], reuseBarrier=[2115])

== Optimized Execution Plan ==
Sink(table=[fluss.nexmark.output_f47857a309d6458b9466c6b9d5e6e4ae], fields=[channel, day, minute, total_bids, rank1_bids, rank2_bids, rank3_bids, total_bidders, rank1_bidders, rank2_bidders, rank3_bidders, total_auctions, rank1_auctions, rank2_auctions, rank3_auctions])
+- ArrowToRowData
   +- NativeColumnarGroupAggregate
      +- NativeColumnarExchange
         +- NativeColumnarLocalGroupAggregate
            +- NativeCalc
               +- NativeMiniBatchAssigner
                  +- NativeFlussSource(table=[nexmark.events])

== Physical Execution Plan ==
{
  "nodes" : [ {
    "id" : 2829,
    "type" : "Source: native-fluss-source",
    "pact" : "Data Source",
    "contents" : "Source: native-fluss-source",
    "parallelism" : 4
  }, {
    "id" : 2830,
    "type" : "NativeMiniBatchAssignerExecNode[1946]",
    "pact" : "Operator",
    "contents" : "[1946]:NativeMiniBatchAssigner",
    "parallelism" : 4,
    "predecessors" : [ {
      "id" : 2829,
      "ship_strategy" : "FORWARD",
      "side" : "second"
    } ]
  }, {
    "id" : 2831,
    "type" : "NativeCalcExecNode[1947]",
    "pact" : "Operator",
    "contents" : "[1947]:NativeCalc",
    "parallelism" : 4,
    "predecessors" : [ {
      "id" : 2830,
      "ship_strategy" : "FORWARD",
      "side" : "second"
    } ]
  }, {
    "id" : 2832,
    "type" : "NativeColumnarLocalGroupAggExecNode[1948]",
    "pact" : "Operator",
    "contents" : "[1948]:NativeColumnarLocalGroupAggregate",
    "parallelism" : 4,
    "predecessors" : [ {
      "id" : 2831,
      "ship_strategy" : "FORWARD",
      "side" : "second"
    } ]
  }, {
    "id" : 2833,
    "type" : "NativeColumnarExchangeExecNode[1949]",
    "pact" : "Operator",
    "contents" : "[1949]:NativeColumnarExchange",
    "parallelism" : 4,
    "predecessors" : [ {
      "id" : 2832,
      "ship_strategy" : "FORWARD",
      "side" : "second"
    } ]
  }, {
    "id" : 2835,
    "type" : "NativeColumnarGroupAggExecNode[1950]",
    "pact" : "Operator",
    "contents" : "[1950]:NativeColumnarGroupAggregate",
    "parallelism" : 4,
    "predecessors" : [ {
      "id" : 2833,
      "ship_strategy" : "columnar-key-group",
      "side" : "second"
    } ]
  }, {
    "id" : 2836,
    "type" : "ArrowToRowDataExecNode[1951]",
    "pact" : "Operator",
    "contents" : "[1951]:ArrowToRowData",
    "parallelism" : 4,
    "predecessors" : [ {
      "id" : 2835,
      "ship_strategy" : "FORWARD",
      "side" : "second"
    } ]
  }, {
    "id" : 2837,
    "type" : "ConstraintEnforcer[1952]",
    "pact" : "Operator",
    "contents" : "[1952]:ConstraintEnforcer[NotNullEnforcer(fields=[channel, day])]",
    "parallelism" : 4,
    "predecessors" : [ {
      "id" : 2836,
      "ship_strategy" : "FORWARD",
      "side" : "second"
    } ]
  }, {
    "id" : 2842,
    "type" : "Sink(nexmark.output_f47857a309d6458b9466c6b9d5e6e4ae): Writer",
    "pact" : "Operator",
    "contents" : "Sink(nexmark.output_f47857a309d6458b9466c6b9d5e6e4ae): Writer",
    "parallelism" : 4,
    "predecessors" : [ {
      "id" : 2837,
      "ship_strategy" : "BUCKET",
      "side" : "second"
    } ]
  } ]
}