diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/EquivalentExpressions.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/EquivalentExpressions.scala
index 72ff9361d8f75..a32052ce121df 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/EquivalentExpressions.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/EquivalentExpressions.scala
@@ -19,6 +19,7 @@ package org.apache.spark.sql.catalyst.expressions
 
 import scala.collection.mutable
 
+import org.apache.spark.TaskContext
 import org.apache.spark.sql.catalyst.expressions.codegen.CodegenFallback
 import org.apache.spark.sql.catalyst.expressions.objects.LambdaVariable
 
@@ -72,7 +73,10 @@ class EquivalentExpressions {
     val skip = expr.isInstanceOf[LeafExpression] ||
       // `LambdaVariable` is usually used as a loop variable, which can't be evaluated ahead of the
       // loop. So we can't evaluate sub-expressions containing `LambdaVariable` at the beginning.
-      expr.find(_.isInstanceOf[LambdaVariable]).isDefined
+      expr.find(_.isInstanceOf[LambdaVariable]).isDefined ||
+      // `PlanExpression` wraps query plan. To compare query plans of `PlanExpression` on executor,
+      // can cause error like NPE.
+      (expr.isInstanceOf[PlanExpression[_]] && TaskContext.get != null)
 
     // There are some special expressions that we should not recurse into all of its children.
     //   1. CodegenFallback: it's children will not be used to generate code (call eval() instead)
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/SQLQuerySuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/SQLQuerySuite.scala
index 28a027690db04..6f8733a2fbd30 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/SQLQuerySuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/SQLQuerySuite.scala
@@ -24,6 +24,7 @@ import java.util.concurrent.atomic.AtomicBoolean
 
 import org.apache.spark.{AccumulatorSuite, SparkException}
 import org.apache.spark.scheduler.{SparkListener, SparkListenerJobStart}
+import org.apache.spark.sql.catalyst.optimizer.ConvertToLocalRelation
 import org.apache.spark.sql.catalyst.util.StringUtils
 import org.apache.spark.sql.execution.aggregate.{HashAggregateExec, SortAggregateExec}
 import org.apache.spark.sql.execution.columnar.InMemoryTableScanExec
@@ -3149,6 +3150,7 @@ class SQLQuerySuite extends QueryTest with SharedSparkSession {
       checkAnswer(sql("select * from t1 where d > '1999-13'"), Row(result))
       checkAnswer(sql("select to_timestamp('2000-01-01 01:10:00') > '1'"), Row(true))
     }
+    sql("DROP VIEW t1")
   }
 
   test("SPARK-28156: self-join should not miss cached view") {
@@ -3192,6 +3194,21 @@ class SQLQuerySuite extends QueryTest with SharedSparkSession {
       checkAnswer(df3, Array(Row(new java.math.BigDecimal("0.100000000000000000000000100"))))
     }
   }
+
+  test("SPARK-29239: Subquery should not cause NPE when eliminating subexpression") {
+    withSQLConf(SQLConf.WHOLESTAGE_CODEGEN_ENABLED.key -> "false",
+        SQLConf.SUBQUERY_REUSE_ENABLED.key -> "false",
+        SQLConf.CODEGEN_FACTORY_MODE.key -> "CODEGEN_ONLY",
+        SQLConf.OPTIMIZER_EXCLUDED_RULES.key -> ConvertToLocalRelation.ruleName) {
+      withTempView("t1", "t2") {
+        sql("create temporary view t1 as select * from values ('val1a', 10L) as t1(t1a, t1b)")
+        sql("create temporary view t2 as select * from values ('val3a', 110L) as t2(t2a, t2b)")
+        val df = sql("SELECT min, min from (SELECT (SELECT min(t2b) FROM t2) min " +
+          "FROM t1 WHERE t1a = 'val1c')")
+        assert(df.collect().size == 0)
+      }
+    }
+  }
 }
 
 case class Foo(bar: Option[String])