when MERGE INTO a merge-on-read table got NoSuchMethodError

[lordk911]

Apache Iceberg version

1.6.1

Query engine

Spark

Please describe the bug 🐞

env:

spark 3.4.4
iceberg-spark-runtime-3.4_2.12-1.6.1.jar

table ddl:

create table if not exists test.ice_test
(
  id                    string          comment '',
  order_id              string          comment '',
  lock_id               string          comment ''
)
using iceberg
TBLPROPERTIES (
 'write.metadata.delete-after-commit.enabled'=true,
 'write.metadata.previous-versions-max'=10,
 'format-version'=2,
 'write.merge.mode'='merge-on-read');

sql to merge table:

MERGE INTO test.ice_test a USING test.product_tmp b ON a.id = b.id when matched then delete;

Exception:

java.lang.NoSuchMethodError: org.apache.spark.sql.catalyst.ProjectingInternalRow.<init>(Lorg/apache/spark/sql/types/StructType;Lscala/collection/Seq;)V
  at org.apache.spark.sql.catalyst.analysis.RewriteRowLevelIcebergCommand.newLazyProjection(RewriteRowLevelIcebergCommand.scala:121)
  at org.apache.spark.sql.catalyst.analysis.RewriteRowLevelIcebergCommand.buildDeltaProjections(RewriteRowLevelIcebergCommand.scala:86)
  at org.apache.spark.sql.catalyst.analysis.RewriteRowLevelIcebergCommand.buildDeltaProjections$(RewriteRowLevelIcebergCommand.scala:75)
  at org.apache.spark.sql.catalyst.analysis.RewriteMergeIntoTable$.buildDeltaProjections(RewriteMergeIntoTable.scala:75)
  at org.apache.spark.sql.catalyst.analysis.RewriteMergeIntoTable$.buildDeltaProjections(RewriteMergeIntoTable.scala:412)
  at org.apache.spark.sql.catalyst.analysis.RewriteMergeIntoTable$.org$apache$spark$sql$catalyst$analysis$RewriteMergeIntoTable$$buildWriteDeltaPlan(RewriteMergeIntoTable.scala:315)
  at org.apache.spark.sql.catalyst.analysis.RewriteMergeIntoTable$$anonfun$apply$1.applyOrElse(RewriteMergeIntoTable.scala:156)
  at org.apache.spark.sql.catalyst.analysis.RewriteMergeIntoTable$$anonfun$apply$1.applyOrElse(RewriteMergeIntoTable.scala:84)
  at org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper.$anonfun$resolveOperatorsDownWithPruning$2(AnalysisHelper.scala:170)
  at org.apache.spark.sql.catalyst.trees.CurrentOrigin$.withOrigin(TreeNode.scala:104)
  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$(AnalysisHelper.scala:164)
  at org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.resolveOperatorsDownWithPruning(LogicalPlan.scala:31)
  at org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper.resolveOperatorsWithPruning(AnalysisHelper.scala:99)
  at org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper.resolveOperatorsWithPruning$(AnalysisHelper.scala:96)
  at org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.resolveOperatorsWithPruning(LogicalPlan.scala:31)
  at org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper.resolveOperators(AnalysisHelper.scala:76)
  at org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper.resolveOperators$(AnalysisHelper.scala:75)
  at org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.resolveOperators(LogicalPlan.scala:31)
  at org.apache.spark.sql.catalyst.analysis.RewriteMergeIntoTable$.apply(RewriteMergeIntoTable.scala:84)
  at org.apache.spark.sql.catalyst.analysis.RewriteMergeIntoTable$.apply(RewriteMergeIntoTable.scala:75)
  at org.apache.spark.sql.catalyst.rules.RuleExecutor.$anonfun$execute$2(RuleExecutor.scala:222)

If change write.merge.mode to copy-on-write the MERGE INTO statement can be executed successfully.

Willingness to contribute

• I can contribute a fix for this bug independently
• 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

[RussellSpitzer]

This usually signifies a version mismatch on the runtime classpath for Spark. Make sure there are no other iceberg-spark-runtime jars