[
https://issues.apache.org/jira/browse/CALCITE-2522?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16599849#comment-16599849
]
Julian Hyde commented on CALCITE-2522:
--------------------------------------
I added it the stack dump because there was an intermittent failure and
surefire was not printing enough context to the log for me to debug.
I agree that if the exception is caught in the test then we should not print to
the screen. I'm not sure why this was happening in testTableModify.
> CalciteAssert#returns calls e.printStackTrace() for no apparent reason
> ----------------------------------------------------------------------
>
> Key: CALCITE-2522
> URL: https://issues.apache.org/jira/browse/CALCITE-2522
> Project: Calcite
> Issue Type: Bug
> Components: core
> Affects Versions: 1.17.0
> Reporter: Vladimir Sitnikov
> Assignee: Julian Hyde
> Priority: Major
>
> [CalciteAssert.java#L1366|https://github.com/apache/calcite/blob/4e9064fa94a419987a5d654f0e41899dde60df54/core/src/test/java/org/apache/calcite/test/CalciteAssert.java#L1366]
> The line was introduced in CALCITE-2005. Could it be just removed?
> It causes the following exception to be printed from
> MaterializationTest#testTableModify even though test passes:
> {noformat}java.lang.RuntimeException: With materializationsEnabled=true,
> limit=0
> at
> org.apache.calcite.test.CalciteAssert.assertQuery(CalciteAssert.java:573)
> at
> org.apache.calcite.test.CalciteAssert$AssertQuery.returns(CalciteAssert.java:1362)
> at
> org.apache.calcite.test.CalciteAssert$AssertQuery.explainMatches(CalciteAssert.java:1477)
> at
> org.apache.calcite.test.CalciteAssert$AssertQuery.explainContains(CalciteAssert.java:1472)
> at
> org.apache.calcite.test.MaterializationTest.testTableModify(MaterializationTest.java:1987)
> at
> java.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
> at
> java.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
> at
> java.base/jdk.internal.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
> at java.base/java.lang.reflect.Method.invoke(Method.java:566)
> at
> org.junit.runners.model.FrameworkMethod$1.runReflectiveCall(FrameworkMethod.java:50)
> at
> org.junit.internal.runners.model.ReflectiveCallable.run(ReflectiveCallable.java:12)
> at
> org.junit.runners.model.FrameworkMethod.invokeExplosively(FrameworkMethod.java:47)
> at
> org.junit.internal.runners.statements.InvokeMethod.evaluate(InvokeMethod.java:17)
> at org.junit.runners.ParentRunner.runLeaf(ParentRunner.java:325)
> at
> org.junit.runners.BlockJUnit4ClassRunner.runChild(BlockJUnit4ClassRunner.java:78)
> at
> org.junit.runners.BlockJUnit4ClassRunner.runChild(BlockJUnit4ClassRunner.java:57)
> at org.junit.runners.ParentRunner$3.run(ParentRunner.java:290)
> at
> org.apache.maven.surefire.junitcore.pc.Scheduler$1.run(Scheduler.java:410)
> at
> java.base/java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:515)
> at java.base/java.util.concurrent.FutureTask.run(FutureTask.java:264)
> at
> java.base/java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1128)
> at
> java.base/java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:628)
> at java.base/java.lang.Thread.run(Thread.java:834)
> Caused by: java.sql.SQLException: Error while executing SQL "explain plan for
> upsert into "dependents"select "empid" + 1 as x, "name"from "emps" where
> "deptno" = 10": Node [rel#73943:Subset#4.ENUMERABLE.[]] could not be
> implemented; planner state:
> Root: rel#73943:Subset#4.ENUMERABLE.[]
> Original rel:
> LogicalTableModify(subset=[rel#73943:Subset#4.ENUMERABLE.[]], table=[[hr,
> dependents]], operation=[INSERT], flattened=[false]): rowcount = 15.0,
> cumulative cost = {15.0 rows, 0.0 cpu, 0.0 io}, id = 73937
> LogicalProject(subset=[rel#73936:Subset#3.NONE.[]], empid=[+($0, 1)],
> name=[$2]): rowcount = 15.0, cumulative cost = {15.0 rows, 30.0 cpu, 0.0 io},
> id = 73935
> LogicalFilter(subset=[rel#73934:Subset#2.NONE.[]],
> condition=[=(CAST($1):INTEGER NOT NULL, 10)]): rowcount = 15.0, cumulative
> cost = {15.0 rows, 100.0 cpu, 0.0 io}, id = 73933
> LogicalProject(subset=[rel#73932:Subset#1.NONE.[]], empid=[$0],
> deptno=[$1], name=[$2]): rowcount = 100.0, cumulative cost = {100.0 rows,
> 300.0 cpu, 0.0 io}, id = 73931
> EnumerableTableScan(subset=[rel#73930:Subset#0.ENUMERABLE.[]],
> table=[[hr, emps]]): rowcount = 100.0, cumulative cost = {100.0 rows, 101.0
> cpu, 0.0 io}, id = 73902
> Sets:
> Set#0, type: RecordType(JavaType(int) empid, JavaType(int) deptno,
> JavaType(class java.lang.String) name, JavaType(float) salary, JavaType(class
> java.lang.Integer) commission)
> rel#73930:Subset#0.ENUMERABLE.[], best=rel#73902,
> importance=0.5904900000000001
> rel#73902:EnumerableTableScan.ENUMERABLE.[](table=[hr, emps]),
> rowcount=100.0, cumulative cost={100.0 rows, 101.0 cpu, 0.0 io}
> Set#1, type: RecordType(JavaType(int) empid, JavaType(int) deptno,
> JavaType(class java.lang.String) name)
> rel#73932:Subset#1.NONE.[], best=null, importance=0.6561
>
> rel#73931:LogicalProject.NONE.[](input=rel#73930:Subset#0.ENUMERABLE.[],empid=$0,deptno=$1,name=$2),
> rowcount=100.0, cumulative cost={inf}
> rel#73994:Subset#1.ENUMERABLE.[], best=rel#74006,
> importance=0.41969273743016755
>
> rel#74006:EnumerableProject.ENUMERABLE.[](input=rel#73930:Subset#0.ENUMERABLE.[],empid=$0,deptno=$1,name=$2),
> rowcount=100.0, cumulative cost={200.0 rows, 401.0 cpu, 0.0 io}
> Set#2, type: RecordType(JavaType(int) empid, JavaType(int) deptno,
> JavaType(class java.lang.String) name)
> rel#73934:Subset#2.NONE.[], best=null, importance=0.7290000000000001
>
> rel#73933:LogicalFilter.NONE.[](input=rel#73932:Subset#1.NONE.[],condition==(CAST($1):INTEGER
> NOT NULL, 10)), rowcount=15.0, cumulative cost={inf}
>
> rel#73982:LogicalProject.NONE.[](input=rel#73981:Subset#7.NONE.[],empid=$0,deptno=$1,name=$2),
> rowcount=15.0, cumulative cost={inf}
>
> rel#73988:LogicalProject.NONE.[[0]](input=rel#73967:Subset#5.ENUMERABLE.[1],empid=$1,deptno=$0,name=$2),
> rowcount=3.0, cumulative cost={inf}
> rel#73975:Subset#2.ENUMERABLE.[], best=rel#74018,
> importance=0.49499999999999994
>
> rel#73993:EnumerableProject.ENUMERABLE.[](input=rel#73992:Subset#7.ENUMERABLE.[],empid=$0,deptno=$1,name=$2),
> rowcount=15.0, cumulative cost={130.0 rows, 246.0 cpu, 0.0 io}
>
> rel#73995:EnumerableFilter.ENUMERABLE.[](input=rel#73994:Subset#1.ENUMERABLE.[],condition==(CAST($1):INTEGER
> NOT NULL, 10)), rowcount=15.0, cumulative cost={215.0 rows, 501.0 cpu, 0.0
> io}
>
> rel#74018:EnumerableProject.ENUMERABLE.[[0]](input=rel#73967:Subset#5.ENUMERABLE.[1],empid=$1,deptno=$0,name=$2),
> rowcount=3.0, cumulative cost={6.0 rows, 13.0 cpu, 0.0 io}
> rel#73989:Subset#2.NONE.[0], best=null, importance=0.36450000000000005
>
> rel#73988:LogicalProject.NONE.[[0]](input=rel#73967:Subset#5.ENUMERABLE.[1],empid=$1,deptno=$0,name=$2),
> rowcount=3.0, cumulative cost={inf}
> rel#74019:Subset#2.ENUMERABLE.[0], best=rel#74018,
> importance=0.36450000000000005
>
> rel#74018:EnumerableProject.ENUMERABLE.[[0]](input=rel#73967:Subset#5.ENUMERABLE.[1],empid=$1,deptno=$0,name=$2),
> rowcount=3.0, cumulative cost={6.0 rows, 13.0 cpu, 0.0 io}
> Set#3, type: RecordType(INTEGER empid, JavaType(class java.lang.String) name)
> rel#73936:Subset#3.NONE.[], best=null, importance=0.81
>
> rel#73935:LogicalProject.NONE.[](input=rel#73934:Subset#2.NONE.[],empid=+($0,
> 1),name=$2), rowcount=15.0, cumulative cost={inf}
>
> rel#73972:LogicalProject.NONE.[](input=rel#73967:Subset#5.ENUMERABLE.[1],$f0=+($1,
> 1),name=$2), rowcount=3.0, cumulative cost={inf}
>
> rel#73983:LogicalProject.NONE.[](input=rel#73981:Subset#7.NONE.[],empid=+($0,
> 1),name=$2), rowcount=15.0, cumulative cost={inf}
>
> rel#73968:LogicalProject.NONE.[](input=rel#73967:Subset#5.ENUMERABLE.[1],empid=+($1,
> 1),name=$2), rowcount=3.0, cumulative cost={inf}
>
> rel#74021:LogicalProject.NONE.[](input=rel#73992:Subset#7.ENUMERABLE.[],empid=+($0,
> 1),name=$2), rowcount=15.0, cumulative cost={inf}
> rel#73974:Subset#3.ENUMERABLE.[], best=rel#73973, importance=0.405
>
> rel#73973:EnumerableProject.ENUMERABLE.[](input=rel#73967:Subset#5.ENUMERABLE.[1],$f0=+($1,
> 1),name=$2), rowcount=3.0, cumulative cost={6.0 rows, 10.0 cpu, 0.0 io}
>
> rel#73976:EnumerableProject.ENUMERABLE.[](input=rel#73975:Subset#2.ENUMERABLE.[],empid=+($0,
> 1),name=$2), rowcount=3.0, cumulative cost={9.0 rows, 19.0 cpu, 0.0 io}
>
> rel#73977:EnumerableProject.ENUMERABLE.[](input=rel#73967:Subset#5.ENUMERABLE.[1],empid=+($1,
> 1),name=$2), rowcount=3.0, cumulative cost={6.0 rows, 10.0 cpu, 0.0 io}
>
> rel#74005:EnumerableProject.ENUMERABLE.[](input=rel#73992:Subset#7.ENUMERABLE.[],empid=+($0,
> 1),name=$2), rowcount=15.0, cumulative cost={130.0 rows, 231.0 cpu, 0.0 io}
> Set#4, type: RecordType(BIGINT ROWCOUNT)
> rel#73938:Subset#4.NONE.[], best=null, importance=0.9
>
> rel#73937:LogicalTableModify.NONE.[](input=rel#73936:Subset#3.NONE.[],table=[hr,
> dependents],operation=INSERT,flattened=false), rowcount=15.0, cumulative
> cost={inf}
> rel#73943:Subset#4.ENUMERABLE.[], best=null, importance=1.0
>
> rel#73944:AbstractConverter.ENUMERABLE.[](input=rel#73938:Subset#4.NONE.[],convention=ENUMERABLE,sort=[]),
> rowcount=15.0, cumulative cost={inf}
> Set#5, type: RecordType(JavaType(int) deptno, JavaType(int) empid,
> JavaType(class java.lang.String) name)
> rel#73967:Subset#5.ENUMERABLE.[1], best=rel#73914, importance=0.6561
> rel#73914:EnumerableTableScan.ENUMERABLE.[[1]](table=[hr, m0]),
> rowcount=3.0, cumulative cost={3.0 rows, 4.0 cpu, 0.0 io}
> Set#7, type: RecordType(JavaType(int) empid, JavaType(int) deptno,
> JavaType(class java.lang.String) name, JavaType(float) salary, JavaType(class
> java.lang.Integer) commission)
> rel#73981:Subset#7.NONE.[], best=null, importance=0.6561
>
> rel#73979:LogicalFilter.NONE.[](input=rel#73930:Subset#0.ENUMERABLE.[],condition==(CAST($1):INTEGER
> NOT NULL, 10)), rowcount=15.0, cumulative cost={inf}
> rel#73992:Subset#7.ENUMERABLE.[], best=rel#74007,
> importance=0.7290000000000001
>
> rel#74007:EnumerableFilter.ENUMERABLE.[](input=rel#73930:Subset#0.ENUMERABLE.[],condition==(CAST($1):INTEGER
> NOT NULL, 10)), rowcount=15.0, cumulative cost={115.0 rows, 201.0 cpu, 0.0
> io}
> at org.apache.calcite.avatica.Helper.createException(Helper.java:56)
> at org.apache.calcite.avatica.Helper.createException(Helper.java:41)
> at
> org.apache.calcite.avatica.AvaticaStatement.executeInternal(AvaticaStatement.java:163)
> at
> org.apache.calcite.avatica.AvaticaStatement.executeQuery(AvaticaStatement.java:227)
> at
> org.apache.calcite.test.CalciteAssert.assertQuery(CalciteAssert.java:541)
> ... 22 more
> Caused by: org.apache.calcite.plan.RelOptPlanner$CannotPlanException: Node
> [rel#73943:Subset#4.ENUMERABLE.[]] could not be implemented; planner state:
> Root: rel#73943:Subset#4.ENUMERABLE.[]
> Original rel:
> LogicalTableModify(subset=[rel#73943:Subset#4.ENUMERABLE.[]], table=[[hr,
> dependents]], operation=[INSERT], flattened=[false]): rowcount = 15.0,
> cumulative cost = {15.0 rows, 0.0 cpu, 0.0 io}, id = 73937
> LogicalProject(subset=[rel#73936:Subset#3.NONE.[]], empid=[+($0, 1)],
> name=[$2]): rowcount = 15.0, cumulative cost = {15.0 rows, 30.0 cpu, 0.0 io},
> id = 73935
> LogicalFilter(subset=[rel#73934:Subset#2.NONE.[]],
> condition=[=(CAST($1):INTEGER NOT NULL, 10)]): rowcount = 15.0, cumulative
> cost = {15.0 rows, 100.0 cpu, 0.0 io}, id = 73933
> LogicalProject(subset=[rel#73932:Subset#1.NONE.[]], empid=[$0],
> deptno=[$1], name=[$2]): rowcount = 100.0, cumulative cost = {100.0 rows,
> 300.0 cpu, 0.0 io}, id = 73931
> EnumerableTableScan(subset=[rel#73930:Subset#0.ENUMERABLE.[]],
> table=[[hr, emps]]): rowcount = 100.0, cumulative cost = {100.0 rows, 101.0
> cpu, 0.0 io}, id = 73902
> Sets:
> Set#0, type: RecordType(JavaType(int) empid, JavaType(int) deptno,
> JavaType(class java.lang.String) name, JavaType(float) salary, JavaType(class
> java.lang.Integer) commission)
> rel#73930:Subset#0.ENUMERABLE.[], best=rel#73902,
> importance=0.5904900000000001
> rel#73902:EnumerableTableScan.ENUMERABLE.[](table=[hr, emps]),
> rowcount=100.0, cumulative cost={100.0 rows, 101.0 cpu, 0.0 io}
> Set#1, type: RecordType(JavaType(int) empid, JavaType(int) deptno,
> JavaType(class java.lang.String) name)
> rel#73932:Subset#1.NONE.[], best=null, importance=0.6561
>
> rel#73931:LogicalProject.NONE.[](input=rel#73930:Subset#0.ENUMERABLE.[],empid=$0,deptno=$1,name=$2),
> rowcount=100.0, cumulative cost={inf}
> rel#73994:Subset#1.ENUMERABLE.[], best=rel#74006,
> importance=0.41969273743016755
>
> rel#74006:EnumerableProject.ENUMERABLE.[](input=rel#73930:Subset#0.ENUMERABLE.[],empid=$0,deptno=$1,name=$2),
> rowcount=100.0, cumulative cost={200.0 rows, 401.0 cpu, 0.0 io}
> Set#2, type: RecordType(JavaType(int) empid, JavaType(int) deptno,
> JavaType(class java.lang.String) name)
> rel#73934:Subset#2.NONE.[], best=null, importance=0.7290000000000001
>
> rel#73933:LogicalFilter.NONE.[](input=rel#73932:Subset#1.NONE.[],condition==(CAST($1):INTEGER
> NOT NULL, 10)), rowcount=15.0, cumulative cost={inf}
>
> rel#73982:LogicalProject.NONE.[](input=rel#73981:Subset#7.NONE.[],empid=$0,deptno=$1,name=$2),
> rowcount=15.0, cumulative cost={inf}
>
> rel#73988:LogicalProject.NONE.[[0]](input=rel#73967:Subset#5.ENUMERABLE.[1],empid=$1,deptno=$0,name=$2),
> rowcount=3.0, cumulative cost={inf}
> rel#73975:Subset#2.ENUMERABLE.[], best=rel#74018,
> importance=0.49499999999999994
>
> rel#73993:EnumerableProject.ENUMERABLE.[](input=rel#73992:Subset#7.ENUMERABLE.[],empid=$0,deptno=$1,name=$2),
> rowcount=15.0, cumulative cost={130.0 rows, 246.0 cpu, 0.0 io}
>
> rel#73995:EnumerableFilter.ENUMERABLE.[](input=rel#73994:Subset#1.ENUMERABLE.[],condition==(CAST($1):INTEGER
> NOT NULL, 10)), rowcount=15.0, cumulative cost={215.0 rows, 501.0 cpu, 0.0
> io}
>
> rel#74018:EnumerableProject.ENUMERABLE.[[0]](input=rel#73967:Subset#5.ENUMERABLE.[1],empid=$1,deptno=$0,name=$2),
> rowcount=3.0, cumulative cost={6.0 rows, 13.0 cpu, 0.0 io}
> rel#73989:Subset#2.NONE.[0], best=null, importance=0.36450000000000005
>
> rel#73988:LogicalProject.NONE.[[0]](input=rel#73967:Subset#5.ENUMERABLE.[1],empid=$1,deptno=$0,name=$2),
> rowcount=3.0, cumulative cost={inf}
> rel#74019:Subset#2.ENUMERABLE.[0], best=rel#74018,
> importance=0.36450000000000005
>
> rel#74018:EnumerableProject.ENUMERABLE.[[0]](input=rel#73967:Subset#5.ENUMERABLE.[1],empid=$1,deptno=$0,name=$2),
> rowcount=3.0, cumulative cost={6.0 rows, 13.0 cpu, 0.0 io}
> Set#3, type: RecordType(INTEGER empid, JavaType(class java.lang.String) name)
> rel#73936:Subset#3.NONE.[], best=null, importance=0.81
>
> rel#73935:LogicalProject.NONE.[](input=rel#73934:Subset#2.NONE.[],empid=+($0,
> 1),name=$2), rowcount=15.0, cumulative cost={inf}
>
> rel#73972:LogicalProject.NONE.[](input=rel#73967:Subset#5.ENUMERABLE.[1],$f0=+($1,
> 1),name=$2), rowcount=3.0, cumulative cost={inf}
>
> rel#73983:LogicalProject.NONE.[](input=rel#73981:Subset#7.NONE.[],empid=+($0,
> 1),name=$2), rowcount=15.0, cumulative cost={inf}
>
> rel#73968:LogicalProject.NONE.[](input=rel#73967:Subset#5.ENUMERABLE.[1],empid=+($1,
> 1),name=$2), rowcount=3.0, cumulative cost={inf}
>
> rel#74021:LogicalProject.NONE.[](input=rel#73992:Subset#7.ENUMERABLE.[],empid=+($0,
> 1),name=$2), rowcount=15.0, cumulative cost={inf}
> rel#73974:Subset#3.ENUMERABLE.[], best=rel#73973, importance=0.405
>
> rel#73973:EnumerableProject.ENUMERABLE.[](input=rel#73967:Subset#5.ENUMERABLE.[1],$f0=+($1,
> 1),name=$2), rowcount=3.0, cumulative cost={6.0 rows, 10.0 cpu, 0.0 io}
>
> rel#73976:EnumerableProject.ENUMERABLE.[](input=rel#73975:Subset#2.ENUMERABLE.[],empid=+($0,
> 1),name=$2), rowcount=3.0, cumulative cost={9.0 rows, 19.0 cpu, 0.0 io}
>
> rel#73977:EnumerableProject.ENUMERABLE.[](input=rel#73967:Subset#5.ENUMERABLE.[1],empid=+($1,
> 1),name=$2), rowcount=3.0, cumulative cost={6.0 rows, 10.0 cpu, 0.0 io}
>
> rel#74005:EnumerableProject.ENUMERABLE.[](input=rel#73992:Subset#7.ENUMERABLE.[],empid=+($0,
> 1),name=$2), rowcount=15.0, cumulative cost={130.0 rows, 231.0 cpu, 0.0 io}
> Set#4, type: RecordType(BIGINT ROWCOUNT)
> rel#73938:Subset#4.NONE.[], best=null, importance=0.9
>
> rel#73937:LogicalTableModify.NONE.[](input=rel#73936:Subset#3.NONE.[],table=[hr,
> dependents],operation=INSERT,flattened=false), rowcount=15.0, cumulative
> cost={inf}
> rel#73943:Subset#4.ENUMERABLE.[], best=null, importance=1.0
>
> rel#73944:AbstractConverter.ENUMERABLE.[](input=rel#73938:Subset#4.NONE.[],convention=ENUMERABLE,sort=[]),
> rowcount=15.0, cumulative cost={inf}
> Set#5, type: RecordType(JavaType(int) deptno, JavaType(int) empid,
> JavaType(class java.lang.String) name)
> rel#73967:Subset#5.ENUMERABLE.[1], best=rel#73914, importance=0.6561
> rel#73914:EnumerableTableScan.ENUMERABLE.[[1]](table=[hr, m0]),
> rowcount=3.0, cumulative cost={3.0 rows, 4.0 cpu, 0.0 io}
> Set#7, type: RecordType(JavaType(int) empid, JavaType(int) deptno,
> JavaType(class java.lang.String) name, JavaType(float) salary, JavaType(class
> java.lang.Integer) commission)
> rel#73981:Subset#7.NONE.[], best=null, importance=0.6561
>
> rel#73979:LogicalFilter.NONE.[](input=rel#73930:Subset#0.ENUMERABLE.[],condition==(CAST($1):INTEGER
> NOT NULL, 10)), rowcount=15.0, cumulative cost={inf}
> rel#73992:Subset#7.ENUMERABLE.[], best=rel#74007,
> importance=0.7290000000000001
>
> rel#74007:EnumerableFilter.ENUMERABLE.[](input=rel#73930:Subset#0.ENUMERABLE.[],condition==(CAST($1):INTEGER
> NOT NULL, 10)), rowcount=15.0, cumulative cost={115.0 rows, 201.0 cpu, 0.0
> io}
> at
> org.apache.calcite.plan.volcano.RelSubset$CheapestPlanReplacer.visit(RelSubset.java:437)
> at
> org.apache.calcite.plan.volcano.RelSubset.buildCheapestPlan(RelSubset.java:296)
> at
> org.apache.calcite.plan.volcano.VolcanoPlanner.findBestExp(VolcanoPlanner.java:662)
> at
> org.apache.calcite.tools.Programs.lambda$standard$3(Programs.java:298)
> at
> org.apache.calcite.tools.Programs$SequenceProgram.run(Programs.java:358)
> at org.apache.calcite.prepare.Prepare.optimize(Prepare.java:188)
> at org.apache.calcite.prepare.Prepare.prepareSql(Prepare.java:313)
> at org.apache.calcite.prepare.Prepare.prepareSql(Prepare.java:230)
> at
> org.apache.calcite.prepare.CalcitePrepareImpl.prepare2_(CalcitePrepareImpl.java:772)
> at
> org.apache.calcite.prepare.CalcitePrepareImpl.prepare_(CalcitePrepareImpl.java:636)
> at
> org.apache.calcite.prepare.CalcitePrepareImpl.prepareSql(CalcitePrepareImpl.java:606)
> at
> org.apache.calcite.jdbc.CalciteConnectionImpl.parseQuery(CalciteConnectionImpl.java:229)
> at
> org.apache.calcite.jdbc.CalciteMetaImpl.prepareAndExecute(CalciteMetaImpl.java:550)
> at
> org.apache.calcite.avatica.AvaticaConnection.prepareAndExecuteInternal(AvaticaConnection.java:675)
> at
> org.apache.calcite.avatica.AvaticaStatement.executeInternal(AvaticaStatement.java:156)
> ... 24 more{noformat}
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