[Fix] Stop RewriteOperationForRowLineage from throwing on other table types

[Hugo-WB]

When having the IcebergSparkSessionExtension on your spark session and trying to UPDATE SET ... WHERE ... a Delta table. We run into the following error:

Error here

DeltaTableV2(org.apache.spark.sql.SparkSession@5b6ddd5d,file:/var/folders/h9/_tv85syj43d9lr1lgbxqm6v508fh8r/T/bc027d17_7885_4b16_a7cf_110ae549cb62,Some(CatalogTable(
Catalog: spark_catalog
Database: default
Table: bc027d17_7885_4b16_a7cf_110ae549cb62
Created Time: Mon Jan 12 10:07:19 GMT 2026
Last Access: UNKNOWN
Created By: Spark 
Type: MANAGED
Provider: delta
Table Properties: [delta.enableChangeDataFeed=true, delta.feature.appendOnly=supported, delta.feature.changeDataFeed=supported, delta.feature.invariants=supported, delta.lastCommitTimestamp=1768212440690, delta.lastUpdateVersion=2, delta.minReaderVersion=1, delta.minWriterVersion=7]
Location: file:/var/folders/h9/_tv85syj43d9lr1lgbxqm6v508fh8r/T/bc027d17_7885_4b16_a7cf_110ae549cb62
Schema: root
 |-- a: string (nullable = true)
 |-- b: long (nullable = true)
 |-- c: string (nullable = true)
)),Some(default.bc027d17_7885_4b16_a7cf_110ae549cb62),None,Map()) (of class org.apache.spark.sql.delta.catalog.DeltaTableV2)
scala.MatchError: DeltaTableV2(org.apache.spark.sql.SparkSession@5b6ddd5d,file:/var/folders/h9/_tv85syj43d9lr1lgbxqm6v508fh8r/T/bc027d17_7885_4b16_a7cf_110ae549cb62,Some(CatalogTable(
Catalog: spark_catalog
Database: default
Table: bc027d17_7885_4b16_a7cf_110ae549cb62
Created Time: Mon Jan 12 10:07:19 GMT 2026
Last Access: UNKNOWN
Created By: Spark 
Type: MANAGED
Provider: delta
Table Properties: [delta.enableChangeDataFeed=true, delta.feature.appendOnly=supported, delta.feature.changeDataFeed=supported, delta.feature.invariants=supported, delta.lastCommitTimestamp=1768212440690, delta.lastUpdateVersion=2, delta.minReaderVersion=1, delta.minWriterVersion=7]
Location: file:/var/folders/h9/_tv85syj43d9lr1lgbxqm6v508fh8r/T/bc027d17_7885_4b16_a7cf_110ae549cb62
Schema: root
 |-- a: string (nullable = true)
 |-- b: long (nullable = true)
 |-- c: string (nullable = true)
)),Some(default.bc027d17_7885_4b16_a7cf_110ae549cb62),None,Map()) (of class org.apache.spark.sql.delta.catalog.DeltaTableV2)
	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)

Note: This spark session has both the iceberg and delta spark session extensions configured.

This PR fixes the above by returning false if the updated table does not match SparkTable. Which DeltaTableV2 does not.

[singhpk234]

I believe this will fail with a match error if not have default false ? can you add a test for it

[geruh]

I agree with Prashant on this and as a nit you could also be simplified by flattening the nested match

case DataSourceV2Relation(sparkTable: SparkTable, _, _, _, _) =>
  TableUtil.supportsRowLineage(sparkTable.table())
case _ => false