vlsi commented on issue #1024: [CALCITE-2817] Make CannotPlanException great URL: https://github.com/apache/calcite/pull/1024#issuecomment-462919545 ``` There are not enough rules to produce a node with desired properties: convention=ENUMERABLE, sort=[]. Missing conversions are LogicalAggregate[convention: NONE -> ENUMERABLE](3 cases) There are 3 empty subsets: Empty subset 0: rel#2417:Subset#3.ENUMERABLE.[], the relevant part of the original plan is as follows 2312:LogicalAggregate(group=[{}], agg#0=[COUNT()], agg#1=[COUNT($0)]) 2246:LogicalValues(subset=[rel#2311:Subset#2.NONE.[0]], tuples=[[{ 1 }, { 2 }, { 3 }, { 4 }, { 5 }, { 6 }, { 7 }, { 8 }, { 9 }, { 10 }, { 11 }, { 12 }, { 13 }, { 14 }, { 15 }, { 16 }, { 17 }, { 18 }, { 19 }, { 20 }, { 21 }, { 22 }, { 23 }, { 24 }, { 25 }]]) Empty subset 1: rel#2424:Subset#10.ENUMERABLE.[], the relevant part of the original plan is as follows 2326:LogicalAggregate(group=[{0, 1}]) 2324:LogicalProject(subset=[rel#2325:Subset#9.NONE.[]], empid=[$0], i=[true]) 2245:EnumerableTableScan(subset=[rel#2308:Subset#0.ENUMERABLE.[]], table=[[hr, emps]]) Empty subset 2: rel#2420:Subset#7.ENUMERABLE.[], the relevant part of the original plan is as follows 2320:LogicalAggregate(group=[{0}], agg#0=[MIN($1)]) 2318:LogicalProject(subset=[rel#2319:Subset#6.NONE.[0]], ROW_VALUE=[$0], $f1=[true]) 2246:LogicalValues(subset=[rel#2311:Subset#2.NONE.[0]], tuples=[[{ 1 }, { 2 }, { 3 }, { 4 }, { 5 }, { 6 }, { 7 }, { 8 }, { 9 }, { 10 }, { 11 }, { 12 }, { 13 }, { 14 }, { 15 }, { 16 }, { 17 }, { 18 }, { 19 }, { 20 }, { 21 }, { 22 }, { 23 }, { 24 }, { 25 }]]) Root: rel#2346:Subset#13.ENUMERABLE.[] Original rel: LogicalProject(empid=[$0]): rowcount = 11.111494198158239, cumulative cost = {1013.6686957057293 rows, 1142.89540136869 cpu, 0.0 io}, id = 2307 LogicalFilter(condition=[AND(OR(IS NOT NULL($7), CAST(OR(AND(IS NOT NULL($5), <>($1, 0)), AND(<($2, $1), null, <>($1, 0), IS NULL($5)))):BOOLEAN NOT NULL), OR(=($0, 100), =($0, 200), =($0, 150)))]): rowcount = 11.111494198158239, cumulative cost = {1002.5572015075711 rows, 1131.7839071705318 cpu, 0.0 io}, id = 2305 LogicalJoin(condition=[=($0, $6)], joinType=[left]): rowcount = 177.78390717053182, cumulative cost = {991.4457073094129 rows, 954.0 cpu, 0.0 io}, id = 2304 LogicalJoin(condition=[=($3, $4)], joinType=[left]): rowcount = 118.52260478035456, cumulative cost = {603.6618001388811 rows, 653.0 cpu, 0.0 io}, id = 2300 LogicalProject(empid=[$0], $f0=[$1], $f1=[$2], empid0=[$0]): rowcount = 100.0, cumulative cost = {426.25 rows, 602.0 cpu, 0.0 io}, id = 2299 LogicalJoin(condition=[true], joinType=[inner]): rowcount = 100.0, cumulative cost = {326.25 rows, 202.0 cpu, 0.0 io}, id = 2298 LogicalProject(empid=[$0]): rowcount = 100.0, cumulative cost = {200.0 rows, 201.0 cpu, 0.0 io}, id = 2296 EnumerableTableScan(table=[[hr, emps]]): rowcount = 100.0, cumulative cost = {100.0 rows, 101.0 cpu, 0.0 io}, id = 2245 LogicalAggregate(group=[{}], agg#0=[COUNT()], agg#1=[COUNT($0)]): rowcount = 1.0, cumulative cost = {26.25 rows, 1.0 cpu, 0.0 io}, id = 2297 LogicalValues(tuples=[[{ 1 }, { 2 }, { 3 }, { 4 }, { 5 }, { 6 }, { 7 }, { 8 }, { 9 }, { 10 }, { 11 }, { 12 }, { 13 }, { 14 }, { 15 }, { 16 }, { 17 }, { 18 }, { 19 }, { 20 }, { 21 }, { 22 }, { 23 }, { 24 }, { 25 }]]): rowcount = 25.0, cumulative cost = {25.0 rows, 1.0 cpu, 0.0 io}, id = 2246 LogicalAggregate(group=[{0}], agg#0=[MIN($1)]): rowcount = 7.901506985356971, cumulative cost = {58.88919535852659 rows, 51.0 cpu, 0.0 io}, id = 2272 LogicalProject(ROW_VALUE=[$0], $f1=[true]): rowcount = 25.0, cumulative cost = {50.0 rows, 51.0 cpu, 0.0 io}, id = 2270 LogicalValues(tuples=[[{ 1 }, { 2 }, { 3 }, { 4 }, { 5 }, { 6 }, { 7 }, { 8 }, { 9 }, { 10 }, { 11 }, { 12 }, { 13 }, { 14 }, { 15 }, { 16 }, { 17 }, { 18 }, { 19 }, { 20 }, { 21 }, { 22 }, { 23 }, { 24 }, { 25 }]]): rowcount = 25.0, cumulative cost = {25.0 rows, 1.0 cpu, 0.0 io}, id = 2246 LogicalAggregate(group=[{0, 1}]): rowcount = 10.0, cumulative cost = {210.0 rows, 301.0 cpu, 0.0 io}, id = 2303 LogicalProject(empid=[$0], i=[true]): rowcount = 100.0, cumulative cost = {200.0 rows, 301.0 cpu, 0.0 io}, id = 2302 EnumerableTableScan(table=[[hr, emps]]): rowcount = 100.0, cumulative cost = {100.0 rows, 101.0 cpu, 0.0 io}, id = 2254 Sets: Set#0, ```
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