4paradigm / 4paradigm/OpenMLDB

Fail to run simple expression for constant column in offline

Abierto
#1,692 0 comentarios 0 reacciones 1 asignado Reclamado por @tobegit3hub Ver en GitHub
batch-engine
Lenguaje dominante
C++
Estrellas
1.7k
Forks
331
Merge medio
12 d 12 h
PR fusionados (30 d)
1

Descripción

Now we can not run `cut2("100")` in offline and get the following error.

```
Should not handle non-const column for const project node
com._4paradigm.hybridse.sdk.UnsupportedHybridSeException: Should not handle non-const column for const project node
at com._4paradigm.openmldb.batch.nodes.ConstProjectPlan$.$anonfun$gen$3(ConstProjectPlan.scala:59)
at com._4paradigm.openmldb.batch.nodes.ConstProjectPlan$.$anonfun$gen$3$adapted(ConstProjectPlan.scala:44)
at scala.collection.TraversableLike.$anonfun$map$1(TraversableLike.scala:237)
at scala.collection.immutable.Range.foreach(Range.scala:158)
at scala.collection.TraversableLike.map(TraversableLike.scala:237)
at scala.collection.TraversableLike.map$(TraversableLike.scala:230)
at scala.collection.AbstractTraversable.map(Traversable.scala:108)
at com._4paradigm.openmldb.batch.nodes.ConstProjectPlan$.gen(ConstProjectPlan.scala:44)
at com._4paradigm.openmldb.batch.SparkPlanner.visitNode(SparkPlanner.scala:236)
at com._4paradigm.openmldb.batch.SparkPlanner.getSparkOutput(SparkPlanner.scala:225)
at com._4paradigm.openmldb.batch.SparkPlanner.$anonfun$plan$1(SparkPlanner.scala:106)
at com._4paradigm.openmldb.batch.SparkPlanner.withSQLEngine(SparkPlanner.scala:390)
at com._4paradigm.openmldb.batch.SparkPlanner.plan(SparkPlanner.scala:76)
at com._4paradigm.openmldb.batch.api.OpenmldbSession.openmldbSql(OpenmldbSession.scala:168)
at com._4paradigm.openmldb.batch.api.OpenmldbSession.sql(OpenmldbSession.scala:179)
at com._4paradigm.openmldb.batch.end2end.TestLoadExternalUdf.$anonfun$new$1(TestLoadExternalUdf.scala:30)
at scala.runtime.java8.JFunction0$mcV$sp.apply(JFunction0$mcV$sp.java:23)
at org.scalatest.OutcomeOf.outcomeOf(OutcomeOf.scala:85)
at org.scalatest.OutcomeOf.outcomeOf$(OutcomeOf.scala:83)
at org.scalatest.OutcomeOf$.outcomeOf(OutcomeOf.scala:104)
at org.scalatest.Transformer.apply(Transformer.scala:22)
at org.scalatest.Transformer.apply(Transformer.scala:20)
at org.scalatest.FunSuiteLike$$anon$1.apply(FunSuiteLike.scala:186)
at org.scalatest.TestSuite.withFixture(TestSuite.scala:196)
at org.scalatest.TestSuite.withFixture$(TestSuite.scala:195)
at org.scalatest.FunSuite.withFixture(FunSuite.scala:1560)
at org.scalatest.FunSuiteLike.invokeWithFixture$1(FunSuiteLike.scala:184)
at org.scalatest.FunSuiteLike.$anonfun$runTest$1(FunSuiteLike.scala:196)
at org.scalatest.SuperEngine.runTestImpl(Engine.scala:289)
at org.scalatest.FunSuiteLike.runTest(FunSuiteLike.scala:196)
at org.scalatest.FunSuiteLike.runTest$(FunSuiteLike.scala:178)
at com._4paradigm.openmldb.batch.SparkTestSuite.org$scalatest$BeforeAndAfter$$super$runTest(SparkTestSuite.scala:23)
at org.scalatest.BeforeAndAfter.runTest(BeforeAndAfter.scala:203)
at org.scalatest.BeforeAndAfter.runTest$(BeforeAndAfter.scala:192)
at com._4paradigm.openmldb.batch.SparkTestSuite.runTest(SparkTestSuite.scala:23)
at org.scalatest.FunSuiteLike.$anonfun$runTests$1(FunSuiteLike.scala:229)
at org.scalatest.SuperEngine.$anonfun$runTestsInBranch$1(Engine.scala:396)
at scala.collection.immutable.List.foreach(List.scala:392)
at org.scalatest.SuperEngine.traverseSubNodes$1(Engine.scala:384)
at org.scalatest.SuperEngine.runTestsInBranch(Engine.scala:379)
at org.scalatest.SuperEngine.runTestsImpl(Engine.scala:461)
at org.scalatest.FunSuiteLike.runTests(FunSuiteLike.scala:229)
at org.scalatest.FunSuiteLike.runTests$(FunSuiteLike.scala:228)
at org.scalatest.FunSuite.runTests(FunSuite.scala:1560)
at org.scalatest.Suite.run(Suite.scala:1147)
at org.scalatest.Suite.run$(Suite.scala:1129)
at org.scalatest.FunSuite.org$scalatest$FunSuiteLike$$super$run(FunSuite.scala:1560)
at org.scalatest.FunSuiteLike.$anonfun$run$1(FunSuiteLike.scala:233)
at org.scalatest.SuperEngine.runImpl(Engine.scala:521)
at org.scalatest.FunSuiteLike.run(FunSuiteLike.scala:233)
at org.scalatest.FunSuiteLike.run$(FunSuiteLike.scala:232)
at com._4paradigm.openmldb.batch.SparkTestSuite.org$scalatest$BeforeAndAfter$$super$run(SparkTestSuite.scala:23)
at org.scalatest.BeforeAndAfter.run(BeforeAndAfter.scala:258)
at org.scalatest.BeforeAndAfter.run$(BeforeAndAfter.scala:256)
at com._4paradigm.openmldb.batch.SparkTestSuite.run(SparkTestSuite.scala:23)
at org.scalatest.tools.SuiteRunner.run(SuiteRunner.scala:45)
at org.scalatest.tools.Runner$.$anonfun$doRunRunRunDaDoRunRun$13(Runner.scala:1340)
at org.scalatest.tools.Runner$.$anonfun$doRunRunRunDaDoRunRun$13$adapted(Runner.scala:1334)
at scala.collection.immutable.List.foreach(List.scala:392)
at org.scalatest.tools.Runner$.doRunRunRunDaDoRunRun(Runner.scala:1334)
at org.scalatest.tools.Runner$.$anonfun$runOptionallyWithPassFailReporter$24(Runner.scala:1031)
at org.scalatest.tools.Runner$.$anonfun$runOptionallyWithPassFailReporter$24$adapted(Runner.scala:1010)
at org.scalatest.tools.Runner$.withClassLoaderAndDispatchReporter(Runner.scala:1500)
at org.scalatest.tools.Runner$.runOptionallyWithPassFailReporter(Runner.scala:1010)
at org.scalatest.tools.Runner$.run(Runner.scala:850)
at org.scalatest.tools.Runner.run(Runner.scala)
at org.jetbrains.plugins.scala.testingSupport.scalaTest.ScalaTestRunner.runScalaTest2or3(ScalaTestRunner.java:38)
at org.jetbrains.plugins.scala.testingSupport.scalaTest.ScalaTestRunner.main(ScalaTestRunner.java:25)
```

Guía de contribución

Abrir la guía de contribución

Línea de trabajo

The error occurs in ConstProjectPlan.scala at line 59 when handling a non-const column for a const project node. Start by examining the test case TestLoadExternalUdf.scala line 30 to see the failing expression. Understand the SparkPlanner and ConstProjectPlan logic to see why cut2("100") is misclassified. Run the specific test to reproduce the error and trace through the code to fix the const column detection.

Escrito por el modelo de indexación a partir del texto del issue.

Evaluación

Stack tecnológico
scala, spark
Área
databases, machine-learning
Tipo de issue
Error
Dificultad
4/5
Tiempo estimado
3-5 días
Estado de actividad
Estancado
Claridad
Bastante claro
Aptitud para principiantes
35/100

Recibe los nuevos issues en tu correo

Un resumen breve de issues de GitHub para principiantes.