maomaodev opened a new issue, #18449:
URL: https://github.com/apache/iceberg/issues/18449
### Apache Iceberg version
1.10.1
### Query engine
Spark
### Please describe the bug 🐞
The rules `RewriteUpdateTableForRowLineage` and
`RewriteMergeIntoTableForRowLineage` (both extending
`RewriteOperationForRowLineage`) are injected into the Spark Analyzer by
`IcebergSparkSessionExtensions` and runs on **every** `UpdateTable` /
`MergeIntoTable` plan, regardless of which catalog owns the target.
When the target is a `DataSourceV2Relation` whose `Table` is **not**
`org.apache.iceberg.spark.source.SparkTable` (Delta, Hudi, Paimon, Lance, or
any custom DSV2 connector), the inner `match` has no fallback and Scala raises
`scala.MatchError` at analysis time.
```
26/10/10 19:30:48 ERROR ExecuteStatement: Error operating ExecuteStatement:
scala.MatchError: org.lance.spark.LancePositionDeltaDataset@658db69 (of class
org.lance.spark.LancePositionDeltaDataset)
at
org.apache.spark.sql.catalyst.analysis.RewriteOperationForRowLineage.shouldUpdatePlan(RewriteOperationForRowLineage.scala:42)
at
org.apache.spark.sql.catalyst.analysis.RewriteOperationForRowLineage.shouldUpdatePlan$(RewriteOperationForRowLineage.scala:39)
at
org.apache.spark.sql.catalyst.analysis.RewriteUpdateTableForRowLineage$.shouldUpdatePlan(RewriteUpdateTableForRowLineage.scala:29)
at
org.apache.spark.sql.catalyst.analysis.RewriteUpdateTableForRowLineage$$anonfun$apply$1.applyOrElse(RewriteUpdateTableForRowLineage.scala:33)
at
org.apache.spark.sql.catalyst.analysis.RewriteUpdateTableForRowLineage$$anonfun$apply$1.applyOrElse(RewriteUpdateTableForRowLineage.scala:32)
at
org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper.$anonfun$resolveOperatorsDownWithPruning$2(AnalysisHelper.scala:170)
at
org.apache.spark.sql.catalyst.trees.CurrentOrigin$.withOrigin(origin.scala:76)
at
org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper.$anonfun$resolveOperatorsDownWithPruning$1(AnalysisHelper.scala:170)
at
org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper$.allowInvokingTransformsInAnalyzer(AnalysisHelper.scala:323)
at
org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper.resolveOperatorsDownWithPruning(AnalysisHelper.scala:168)
at
org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper.resolveOperatorsDownWithPruning$(AnalysisHelper.scala:164)
at
org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.resolveOperatorsDownWithPruning(LogicalPlan.scala:32)
at
org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper.resolveOperatorsWithPruning(AnalysisHelper.scala:99)
at
org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper.resolveOperatorsWithPruning$(AnalysisHelper.scala:96)
at
org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.resolveOperatorsWithPruning(LogicalPlan.scala:32)
at
org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper.resolveOperators(AnalysisHelper.scala:76)
at
org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper.resolveOperators$(AnalysisHelper.scala:75)
at
org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.resolveOperators(LogicalPlan.scala:32)
at
org.apache.spark.sql.catalyst.analysis.RewriteUpdateTableForRowLineage$.apply(RewriteUpdateTableForRowLineage.scala:32)
at
org.apache.spark.sql.catalyst.analysis.RewriteUpdateTableForRowLineage$.apply(RewriteUpdateTableForRowLineage.scala:29)
at
org.apache.spark.sql.catalyst.rules.RuleExecutor.$anonfun$execute$2(RuleExecutor.scala:222)
at
scala.collection.LinearSeqOptimized.foldLeft(LinearSeqOptimized.scala:126)
at
scala.collection.LinearSeqOptimized.foldLeft$(LinearSeqOptimized.scala:122)
at scala.collection.immutable.List.foldLeft(List.scala:91)
at
org.apache.spark.sql.catalyst.rules.RuleExecutor.$anonfun$execute$1(RuleExecutor.scala:219)
at
org.apache.spark.sql.catalyst.rules.RuleExecutor.$anonfun$execute$1$adapted(RuleExecutor.scala:211)
at scala.collection.immutable.List.foreach(List.scala:431)
at
org.apache.spark.sql.catalyst.rules.RuleExecutor.execute(RuleExecutor.scala:211)
at
org.apache.spark.sql.catalyst.analysis.Analyzer.org$apache$spark$sql$catalyst$analysis$Analyzer$$executeSameContext(Analyzer.scala:240)
at
org.apache.spark.sql.catalyst.analysis.Analyzer.$anonfun$execute$1(Analyzer.scala:236)
at
org.apache.spark.sql.catalyst.analysis.AnalysisContext$.withNewAnalysisContext(Analyzer.scala:187)
at
org.apache.spark.sql.catalyst.analysis.Analyzer.execute(Analyzer.scala:236)
at
org.apache.spark.sql.catalyst.analysis.Analyzer.execute(Analyzer.scala:202)
at
org.apache.spark.sql.catalyst.rules.RuleExecutor.$anonfun$executeAndTrack$1(RuleExecutor.scala:182)
at
org.apache.spark.sql.catalyst.QueryPlanningTracker$.withTracker(QueryPlanningTracker.scala:89)
at
org.apache.spark.sql.catalyst.rules.RuleExecutor.executeAndTrack(RuleExecutor.scala:182)
at
org.apache.spark.sql.catalyst.analysis.Analyzer.$anonfun$executeAndCheck$1(Analyzer.scala:223)
at
org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper$.markInAnalyzer(AnalysisHelper.scala:330)
at
org.apache.spark.sql.catalyst.analysis.Analyzer.executeAndCheck(Analyzer.scala:222)
at
org.apache.spark.sql.execution.QueryExecution.$anonfun$analyzed$1(QueryExecution.scala:77)
at
org.apache.spark.sql.catalyst.QueryPlanningTracker.measurePhase(QueryPlanningTracker.scala:138)
at
org.apache.spark.sql.execution.QueryExecution.$anonfun$executePhase$2(QueryExecution.scala:219)
at
org.apache.spark.sql.execution.QueryExecution$.withInternalError(QueryExecution.scala:546)
at
org.apache.spark.sql.execution.QueryExecution.$anonfun$executePhase$1(QueryExecution.scala:219)
at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:900)
at
org.apache.spark.sql.execution.QueryExecution.executePhase(QueryExecution.scala:218)
at
org.apache.spark.sql.execution.QueryExecution.analyzed$lzycompute(QueryExecution.scala:77)
at
org.apache.spark.sql.execution.QueryExecution.analyzed(QueryExecution.scala:74)
at
org.apache.spark.sql.execution.QueryExecution.assertAnalyzed(QueryExecution.scala:66)
at org.apache.spark.sql.Dataset$.$anonfun$ofRows$2(Dataset.scala:99)
at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:900)
at org.apache.spark.sql.Dataset$.ofRows(Dataset.scala:97)
at
org.apache.spark.sql.SparkSession.$anonfun$sql$4(SparkSession.scala:691)
at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:900)
at org.apache.spark.sql.SparkSession.sql(SparkSession.scala:682)
at org.apache.spark.sql.SparkSession.sql(SparkSession.scala:713)
at org.apache.spark.sql.SparkSession.sql(SparkSession.scala:744)
```
### Willingness to contribute
- [ ] I can contribute a fix for this bug independently
- [x] I would be willing to contribute a fix for this bug with guidance from
the Iceberg community
- [ ] I cannot contribute a fix for this bug at this time
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