diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/SparkPlanner.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/SparkPlanner.scala
index 04132c9f4c301..5632e46c04374 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/SparkPlanner.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/SparkPlanner.scala
@@ -18,7 +18,6 @@
 package org.apache.spark.sql.execution
 
 import org.apache.spark.sql.ExperimentalMethods
-import org.apache.spark.sql.catalyst.SQLConfHelper
 import org.apache.spark.sql.catalyst.expressions._
 import org.apache.spark.sql.catalyst.plans.logical.LogicalPlan
 import org.apache.spark.sql.classic.SparkSession
@@ -30,9 +29,9 @@ import org.apache.spark.sql.execution.datasources.v2.DataSourceV2Strategy
 import org.apache.spark.sql.internal.SQLConf
 
 class SparkPlanner(val session: SparkSession, val experimentalMethods: ExperimentalMethods)
-  extends SparkStrategies with SQLConfHelper {
+  extends SparkStrategies {
 
-  override def conf: SQLConf = session.sessionState.conf
+  def conf: SQLConf = session.sessionState.conf
 
   def numPartitions: Int = conf.numShufflePartitions
 
diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/V1Writes.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/V1Writes.scala
index 1d6c2a6f81124..280fe1068d814 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/V1Writes.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/V1Writes.scala
@@ -17,7 +17,6 @@
 
 package org.apache.spark.sql.execution.datasources
 
-import org.apache.spark.sql.catalyst.SQLConfHelper
 import org.apache.spark.sql.catalyst.catalog.BucketSpec
 import org.apache.spark.sql.catalyst.catalog.CatalogTypes.TablePartitionSpec
 import org.apache.spark.sql.catalyst.expressions.{Alias, Ascending, Attribute, AttributeMap, AttributeSet, BitwiseAnd, Empty2Null, Expression, HiveHash, Literal, NamedExpression, Pmod, SortOrder}
@@ -65,7 +64,7 @@ trait V1WriteCommand extends DataWritingCommand {
 /**
  * A rule that plans v1 write for [[V1WriteCommand]].
  */
-object V1Writes extends Rule[LogicalPlan] with SQLConfHelper {
+object V1Writes extends Rule[LogicalPlan] {
 
   import V1WritesUtils._
 
diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/v2/V2ScanPartitioningAndOrdering.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/v2/V2ScanPartitioningAndOrdering.scala
index cfab28bbd15ed..7ee4374b45789 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/v2/V2ScanPartitioningAndOrdering.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/v2/V2ScanPartitioningAndOrdering.scala
@@ -18,7 +18,6 @@ package org.apache.spark.sql.execution.datasources.v2
 
 import org.apache.spark.internal.{Logging, MDC}
 import org.apache.spark.internal.LogKeys.CLASS_NAME
-import org.apache.spark.sql.catalyst.SQLConfHelper
 import org.apache.spark.sql.catalyst.expressions.V2ExpressionUtils
 import org.apache.spark.sql.catalyst.plans.logical.LogicalPlan
 import org.apache.spark.sql.catalyst.rules.Rule
@@ -32,7 +31,7 @@ import org.apache.spark.util.collection.Utils.sequenceToOption
  * and ordering reported by data sources to their catalyst counterparts. Then, annotates the plan
  * with the partitioning and ordering result.
  */
-object V2ScanPartitioningAndOrdering extends Rule[LogicalPlan] with SQLConfHelper with Logging {
+object V2ScanPartitioningAndOrdering extends Rule[LogicalPlan] with Logging {
   override def apply(plan: LogicalPlan): LogicalPlan = {
     val scanRules = Seq[LogicalPlan => LogicalPlan] (partitioning, ordering)
 
diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/streaming/ResolveWriteToStream.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/streaming/ResolveWriteToStream.scala
index 0d4ab9d147b8d..6c0a228ec2fca 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/streaming/ResolveWriteToStream.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/streaming/ResolveWriteToStream.scala
@@ -25,7 +25,6 @@ import org.apache.hadoop.fs.Path
 
 import org.apache.spark.internal.LogKeys.{CHECKPOINT_LOCATION, CHECKPOINT_ROOT, CONFIG, PATH}
 import org.apache.spark.internal.MDC
-import org.apache.spark.sql.catalyst.SQLConfHelper
 import org.apache.spark.sql.catalyst.analysis.UnsupportedOperationChecker
 import org.apache.spark.sql.catalyst.plans.logical.LogicalPlan
 import org.apache.spark.sql.catalyst.rules.Rule
@@ -38,7 +37,7 @@ import org.apache.spark.util.Utils
 /**
  * Replaces logical [[WriteToStreamStatement]] operator with an [[WriteToStream]] operator.
  */
-object ResolveWriteToStream extends Rule[LogicalPlan] with SQLConfHelper {
+object ResolveWriteToStream extends Rule[LogicalPlan] {
   def apply(plan: LogicalPlan): LogicalPlan = plan.resolveOperators {
     case s: WriteToStreamStatement =>
       val (resolvedCheckpointLocation, deleteCheckpointOnStop) = resolveCheckpointLocation(s)