diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/v2/FileWrite.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/v2/FileWrite.scala
index 7a060a9bc8fe1..52f44e33ea11f 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/v2/FileWrite.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/v2/FileWrite.scala
@@ -18,7 +18,6 @@ package org.apache.spark.sql.execution.datasources.v2
 
 import java.util.UUID
 
-import scala.collection.mutable
 import scala.jdk.CollectionConverters._
 
 import org.apache.hadoop.conf.Configuration
@@ -33,7 +32,7 @@ import org.apache.spark.sql.catalyst.types.DataTypeUtils.toAttributes
 import org.apache.spark.sql.catalyst.util.{CaseInsensitiveMap, DateTimeUtils}
 import org.apache.spark.sql.connector.write.{BatchWrite, LogicalWriteInfo, Write}
 import org.apache.spark.sql.errors.QueryCompilationErrors
-import org.apache.spark.sql.execution.datasources.{BasicWriteJobStatsTracker, DataSource, OutputWriterFactory, PartitionTaskStats, WriteJobDescription}
+import org.apache.spark.sql.execution.datasources.{BasicWriteJobStatsTracker, DataSource, OutputWriterFactory, WriteJobDescription}
 import org.apache.spark.sql.execution.metric.SQLMetric
 import org.apache.spark.sql.internal.SQLConf
 import org.apache.spark.sql.types.{DataType, StructType}
@@ -125,8 +124,6 @@ trait FileWrite extends Write {
       prepareWrite(sparkSession.sessionState.conf, job, caseInsensitiveOptions, schema)
     val allColumns = toAttributes(schema)
     val metrics: Map[String, SQLMetric] = BasicWriteJobStatsTracker.metrics
-    val partitionMetrics: mutable.Map[String, PartitionTaskStats]
-        = BasicWriteJobStatsTracker.partitionMetrics
     val serializableHadoopConf = new SerializableConfiguration(hadoopConf)
     val statsTracker = new BasicWriteJobStatsTracker(serializableHadoopConf, metrics)
     // TODO: after partitioning is supported in V2: