HeartSaVioR opened a new issue #1428:
URL: https://github.com/apache/iceberg/issues/1428
```
scala> spark.sql("select * from test").show()
20/08/27 20:10:35 WARN iceberg.BaseMetastoreTableOperations: Could not find
the table during refresh, setting current metadata to null
org.apache.iceberg.exceptions.NoSuchIcebergTableException: Not an iceberg
table: spark_catalog.default.test (type=null)
at
org.apache.iceberg.exceptions.NoSuchIcebergTableException.check(NoSuchIcebergTableException.java:32)
at
org.apache.iceberg.hive.HiveTableOperations.validateTableIsIceberg(HiveTableOperations.java:310)
at
org.apache.iceberg.hive.HiveTableOperations.doRefresh(HiveTableOperations.java:114)
at
org.apache.iceberg.BaseMetastoreTableOperations.refresh(BaseMetastoreTableOperations.java:75)
at
org.apache.iceberg.BaseMetastoreTableOperations.current(BaseMetastoreTableOperations.java:59)
at
org.apache.iceberg.BaseMetastoreCatalog.loadTable(BaseMetastoreCatalog.java:135)
at
org.apache.iceberg.shaded.com.github.benmanes.caffeine.cache.BoundedLocalCache.lambda$doComputeIfAbsent$14(BoundedLocalCache.java:2337)
at
java.util.concurrent.ConcurrentHashMap.compute(ConcurrentHashMap.java:1853)
at
org.apache.iceberg.shaded.com.github.benmanes.caffeine.cache.BoundedLocalCache.doComputeIfAbsent(BoundedLocalCache.java:2335)
at
org.apache.iceberg.shaded.com.github.benmanes.caffeine.cache.BoundedLocalCache.computeIfAbsent(BoundedLocalCache.java:2318)
at
org.apache.iceberg.shaded.com.github.benmanes.caffeine.cache.LocalCache.computeIfAbsent(LocalCache.java:111)
at
org.apache.iceberg.shaded.com.github.benmanes.caffeine.cache.LocalManualCache.get(LocalManualCache.java:54)
at org.apache.iceberg.CachingCatalog.loadTable(CachingCatalog.java:66)
at
org.apache.iceberg.spark.SparkCatalog.loadTable(SparkCatalog.java:124)
at org.apache.iceberg.spark.SparkCatalog.loadTable(SparkCatalog.java:78)
at
org.apache.iceberg.spark.SparkSessionCatalog.loadTable(SparkSessionCatalog.java:117)
at
org.apache.spark.sql.connector.catalog.CatalogV2Util$.loadTable(CatalogV2Util.scala:283)
at
org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveRelations$.loaded$lzycompute$1(Analyzer.scala:1010)
at
org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveRelations$.loaded$1(Analyzer.scala:1010)
at
org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveRelations$.$anonfun$lookupRelation$3(Analyzer.scala:1022)
at scala.Option.orElse(Option.scala:447)
at
org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveRelations$.org$apache$spark$sql$catalyst$analysis$Analyzer$ResolveRelations$$lookupRelation(Analyzer.scala:1021)
at
org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveRelations$$anonfun$apply$9.applyOrElse(Analyzer.scala:977)
at
org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveRelations$$anonfun$apply$9.applyOrElse(Analyzer.scala:962)
at
org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper.$anonfun$resolveOperatorsUp$3(AnalysisHelper.scala:90)
at
org.apache.spark.sql.catalyst.trees.CurrentOrigin$.withOrigin(TreeNode.scala:72)
at
org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper.$anonfun$resolveOperatorsUp$1(AnalysisHelper.scala:90)
at
org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper$.allowInvokingTransformsInAnalyzer(AnalysisHelper.scala:194)
at
org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper.resolveOperatorsUp(AnalysisHelper.scala:86)
at
org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper.resolveOperatorsUp$(AnalysisHelper.scala:84)
at
org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.resolveOperatorsUp(LogicalPlan.scala:29)
at
org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper.$anonfun$resolveOperatorsUp$2(AnalysisHelper.scala:87)
at
org.apache.spark.sql.catalyst.trees.TreeNode.$anonfun$mapChildren$1(TreeNode.scala:399)
at
org.apache.spark.sql.catalyst.trees.TreeNode.mapProductIterator(TreeNode.scala:237)
at
org.apache.spark.sql.catalyst.trees.TreeNode.mapChildren(TreeNode.scala:397)
at
org.apache.spark.sql.catalyst.trees.TreeNode.mapChildren(TreeNode.scala:350)
at
org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper.$anonfun$resolveOperatorsUp$1(AnalysisHelper.scala:87)
at
org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper$.allowInvokingTransformsInAnalyzer(AnalysisHelper.scala:194)
at
org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper.resolveOperatorsUp(AnalysisHelper.scala:86)
at
org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper.resolveOperatorsUp$(AnalysisHelper.scala:84)
at
org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.resolveOperatorsUp(LogicalPlan.scala:29)
at
org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveRelations$.apply(Analyzer.scala:962)
at
org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveRelations$.apply(Analyzer.scala:934)
at
org.apache.spark.sql.catalyst.rules.RuleExecutor.$anonfun$execute$2(RuleExecutor.scala:149)
at
scala.collection.LinearSeqOptimized.foldLeft(LinearSeqOptimized.scala:126)
at
scala.collection.LinearSeqOptimized.foldLeft$(LinearSeqOptimized.scala:122)
at scala.collection.immutable.List.foldLeft(List.scala:89)
at
org.apache.spark.sql.catalyst.rules.RuleExecutor.$anonfun$execute$1(RuleExecutor.scala:146)
at
org.apache.spark.sql.catalyst.rules.RuleExecutor.$anonfun$execute$1$adapted(RuleExecutor.scala:138)
at scala.collection.immutable.List.foreach(List.scala:392)
at
org.apache.spark.sql.catalyst.rules.RuleExecutor.execute(RuleExecutor.scala:138)
at
org.apache.spark.sql.catalyst.analysis.Analyzer.org$apache$spark$sql$catalyst$analysis$Analyzer$$executeSameContext(Analyzer.scala:176)
at
org.apache.spark.sql.catalyst.analysis.Analyzer.execute(Analyzer.scala:170)
at
org.apache.spark.sql.catalyst.analysis.Analyzer.execute(Analyzer.scala:130)
at
org.apache.spark.sql.catalyst.rules.RuleExecutor.$anonfun$executeAndTrack$1(RuleExecutor.scala:116)
at
org.apache.spark.sql.catalyst.QueryPlanningTracker$.withTracker(QueryPlanningTracker.scala:88)
at
org.apache.spark.sql.catalyst.rules.RuleExecutor.executeAndTrack(RuleExecutor.scala:116)
at
org.apache.spark.sql.catalyst.analysis.Analyzer.$anonfun$executeAndCheck$1(Analyzer.scala:154)
at
org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper$.markInAnalyzer(AnalysisHelper.scala:201)
at
org.apache.spark.sql.catalyst.analysis.Analyzer.executeAndCheck(Analyzer.scala:153)
at
org.apache.spark.sql.execution.QueryExecution.$anonfun$analyzed$1(QueryExecution.scala:71)
at
org.apache.spark.sql.catalyst.QueryPlanningTracker.measurePhase(QueryPlanningTracker.scala:111)
at
org.apache.spark.sql.execution.QueryExecution.$anonfun$executePhase$1(QueryExecution.scala:136)
at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:764)
at
org.apache.spark.sql.execution.QueryExecution.executePhase(QueryExecution.scala:136)
at
org.apache.spark.sql.execution.QueryExecution.analyzed$lzycompute(QueryExecution.scala:71)
at
org.apache.spark.sql.execution.QueryExecution.analyzed(QueryExecution.scala:69)
at
org.apache.spark.sql.execution.QueryExecution.assertAnalyzed(QueryExecution.scala:61)
at org.apache.spark.sql.Dataset$.$anonfun$ofRows$2(Dataset.scala:99)
at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:764)
at org.apache.spark.sql.Dataset$.ofRows(Dataset.scala:97)
at
org.apache.spark.sql.SparkSession.$anonfun$sql$1(SparkSession.scala:607)
at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:764)
at org.apache.spark.sql.SparkSession.sql(SparkSession.scala:602)
at $line16.$read$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw.<init>(<console>:24)
at $line16.$read$$iw$$iw$$iw$$iw$$iw$$iw$$iw.<init>(<console>:28)
at $line16.$read$$iw$$iw$$iw$$iw$$iw$$iw.<init>(<console>:30)
at $line16.$read$$iw$$iw$$iw$$iw$$iw.<init>(<console>:32)
at $line16.$read$$iw$$iw$$iw$$iw.<init>(<console>:34)
at $line16.$read$$iw$$iw$$iw.<init>(<console>:36)
at $line16.$read$$iw$$iw.<init>(<console>:38)
at $line16.$read$$iw.<init>(<console>:40)
at $line16.$read.<init>(<console>:42)
at $line16.$read$.<init>(<console>:46)
at $line16.$read$.<clinit>(<console>)
at $line16.$eval$.$print$lzycompute(<console>:7)
at $line16.$eval$.$print(<console>:6)
at $line16.$eval.$print(<console>)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at
sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
at
sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:498)
at scala.tools.nsc.interpreter.IMain$ReadEvalPrint.call(IMain.scala:745)
at
scala.tools.nsc.interpreter.IMain$Request.loadAndRun(IMain.scala:1021)
at
scala.tools.nsc.interpreter.IMain.$anonfun$interpret$1(IMain.scala:574)
at
scala.reflect.internal.util.ScalaClassLoader.asContext(ScalaClassLoader.scala:41)
at
scala.reflect.internal.util.ScalaClassLoader.asContext$(ScalaClassLoader.scala:37)
at
scala.reflect.internal.util.AbstractFileClassLoader.asContext(AbstractFileClassLoader.scala:41)
at scala.tools.nsc.interpreter.IMain.loadAndRunReq$1(IMain.scala:573)
at scala.tools.nsc.interpreter.IMain.interpret(IMain.scala:600)
at scala.tools.nsc.interpreter.IMain.interpret(IMain.scala:570)
at
scala.tools.nsc.interpreter.ILoop.interpretStartingWith(ILoop.scala:894)
at scala.tools.nsc.interpreter.ILoop.command(ILoop.scala:762)
at scala.tools.nsc.interpreter.ILoop.processLine(ILoop.scala:464)
at scala.tools.nsc.interpreter.ILoop.loop(ILoop.scala:485)
at org.apache.spark.repl.SparkILoop.process(SparkILoop.scala:239)
at org.apache.spark.repl.Main$.doMain(Main.scala:78)
at org.apache.spark.repl.Main$.main(Main.scala:58)
at org.apache.spark.repl.Main.main(Main.scala)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at
sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
at
sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:498)
at
org.apache.spark.deploy.JavaMainApplication.start(SparkApplication.scala:52)
at
org.apache.spark.deploy.SparkSubmit.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:928)
at
org.apache.spark.deploy.SparkSubmit.doRunMain$1(SparkSubmit.scala:180)
at org.apache.spark.deploy.SparkSubmit.submit(SparkSubmit.scala:203)
at org.apache.spark.deploy.SparkSubmit.doSubmit(SparkSubmit.scala:90)
at
org.apache.spark.deploy.SparkSubmit$$anon$2.doSubmit(SparkSubmit.scala:1007)
at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:1016)
at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
+---+-----+
| id| data|
+---+-----+
| 3|abcde|
| 2| abcd|
| 1| abc|
+---+-----+
```
If you only look at the output then the behavior is correct, but the warning
message logged from Iceberg can be misleading, especially what the log level
says. That exception is "expected" for such case, hence shouldn't be logged as
warn message.
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