diff --git a/common/utils/src/main/resources/error/error-conditions.json b/common/utils/src/main/resources/error/error-conditions.json
index eca3587c74071..f4cb34495612a 100644
--- a/common/utils/src/main/resources/error/error-conditions.json
+++ b/common/utils/src/main/resources/error/error-conditions.json
@@ -3802,6 +3802,12 @@
     ],
     "sqlState" : "428FT"
   },
+  "PARTITION_COLUMN_NOT_FOUND_IN_SCHEMA" : {
+    "message" : [
+      "Partition column <column> not found in schema <schema>. Please provide the existing column for partitioning."
+    ],
+    "sqlState" : "42000"
+  },
   "PATH_ALREADY_EXISTS" : {
     "message" : [
       "Path <outputPath> already exists. Set mode as \"overwrite\" to overwrite the existing path."
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/errors/QueryExecutionErrors.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/errors/QueryExecutionErrors.scala
index 5e3aa3ef5f6bb..bc6c7681ea1a5 100644
--- a/sql/catalyst/src/main/scala/org/apache/spark/sql/errors/QueryExecutionErrors.scala
+++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/errors/QueryExecutionErrors.scala
@@ -2856,4 +2856,16 @@ private[sql] object QueryExecutionErrors extends QueryErrorsBase with ExecutionE
       )
     )
   }
+
+  def partitionColumnNotFoundInTheTableSchemaError(
+      column: Seq[String],
+      schema: StructType): SparkRuntimeException = {
+    new SparkRuntimeException(
+      errorClass = "PARTITION_COLUMN_NOT_FOUND_IN_SCHEMA",
+      messageParameters = Map(
+        "column" -> toSQLId(column),
+        "schema" -> toSQLType(schema)
+      )
+    )
+  }
 }
diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/v2/DescribeTableExec.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/v2/DescribeTableExec.scala
index 7f7f280d8cdca..7cfd601ef774f 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/v2/DescribeTableExec.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/v2/DescribeTableExec.scala
@@ -27,6 +27,7 @@ import org.apache.spark.sql.catalyst.util.{quoteIfNeeded, ResolveDefaultColumns}
 import org.apache.spark.sql.connector.catalog.{CatalogV2Util, SupportsMetadataColumns, SupportsRead, Table, TableCatalog}
 import org.apache.spark.sql.connector.expressions.{ClusterByTransform, IdentityTransform}
 import org.apache.spark.sql.connector.read.SupportsReportStatistics
+import org.apache.spark.sql.errors.QueryExecutionErrors
 import org.apache.spark.sql.util.CaseInsensitiveStringMap
 import org.apache.spark.util.ArrayImplicits._
 
@@ -156,9 +157,12 @@ case class DescribeTableExec(
           .map(_.asInstanceOf[IdentityTransform].ref.fieldNames())
           .map { fieldNames =>
             val nestedField = table.schema.findNestedField(fieldNames.toImmutableArraySeq)
-            assert(nestedField.isDefined,
-              s"Not found the partition column ${fieldNames.map(quoteIfNeeded).mkString(".")} " +
-              s"in the table schema ${table.schema().catalogString}.")
+            if (nestedField.isEmpty) {
+              throw QueryExecutionErrors.partitionColumnNotFoundInTheTableSchemaError(
+                fieldNames.toSeq,
+                table.schema()
+              )
+            }
             nestedField.get
           }.map { case (path, field) =>
             toCatalystRow(