diff --git a/connector/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/v2/PostgresIntegrationSuite.scala b/connector/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/v2/PostgresIntegrationSuite.scala
index f70b500f974a..83b665853c53 100644
--- a/connector/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/v2/PostgresIntegrationSuite.scala
+++ b/connector/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/v2/PostgresIntegrationSuite.scala
@@ -107,24 +107,46 @@ class PostgresIntegrationSuite extends DockerJDBCIntegrationV2Suite with V2JDBCT
     connection.prepareStatement("CREATE TABLE array_timestamptz (col timestamptz[])")
       .executeUpdate()
 
-    connection.prepareStatement("INSERT INTO array_int VALUES (array[array[10]])").executeUpdate()
-    connection.prepareStatement("INSERT INTO array_bigint VALUES (array[array[10]])")
+    connection.prepareStatement("INSERT INTO array_int VALUES (array[10]), (array[array[10]])")
       .executeUpdate()
-    connection.prepareStatement("INSERT INTO array_smallint VALUES (array[array[10]])")
-      .executeUpdate()
-    connection.prepareStatement("INSERT INTO array_boolean VALUES (array[array[true]])")
-      .executeUpdate()
-    connection.prepareStatement("INSERT INTO array_float VALUES (array[array[10.5]])")
-      .executeUpdate()
-    connection.prepareStatement("INSERT INTO array_double VALUES (array[array[10.1]])")
-      .executeUpdate()
-    connection.prepareStatement("INSERT INTO array_timestamp VALUES (" +
-      "array[array['2022-01-01 09:15'::timestamp]])").executeUpdate()
+    connection.prepareStatement("INSERT INTO array_bigint VALUES (array[10]), " +
+      "(array[array[10]])").executeUpdate()
+    connection.prepareStatement("INSERT INTO array_smallint VALUES (array[10]), " +
+      "(array[array[10]])").executeUpdate()
+    connection.prepareStatement("INSERT INTO array_boolean VALUES (array[true]), " +
+      "(array[array[true]])").executeUpdate()
+    connection.prepareStatement("INSERT INTO array_float VALUES (array[10.5]), " +
+      "(array[array[10.5]])").executeUpdate()
+    connection.prepareStatement("INSERT INTO array_double VALUES (array[10.1]), " +
+      "(array[array[10.1]])").executeUpdate()
+    connection.prepareStatement("INSERT INTO array_timestamp VALUES " +
+      "(array['2022-01-01 09:15'::timestamp]), " +
+      "(array[array['2022-01-01 09:15'::timestamp]])").executeUpdate()
     connection.prepareStatement("INSERT INTO array_timestamptz VALUES " +
+      "(array['2022-01-01 09:15'::timestamptz]), " +
       "(array[array['2022-01-01 09:15'::timestamptz]])").executeUpdate()
     connection.prepareStatement(
     "CREATE TABLE datetime (name VARCHAR(32), date1 DATE, time1 TIMESTAMP)")
     .executeUpdate()
+
+    connection.prepareStatement("CREATE TABLE array_of_int (col int[])")
+      .executeUpdate()
+    connection.prepareStatement("INSERT INTO array_of_int " +
+      "VALUES (array[1])").executeUpdate()
+    connection.prepareStatement("CREATE TABLE ctas_array_of_int " +
+      "AS SELECT * FROM array_of_int").executeUpdate()
+
+    connection.prepareStatement("CREATE TABLE array_of_array_of_int (col int[][])")
+      .executeUpdate()
+    connection.prepareStatement("INSERT INTO array_of_array_of_int " +
+      "VALUES (array[array[1],array[2]])").executeUpdate()
+    connection.prepareStatement("CREATE TABLE ctas_array_of_array_of_int " +
+      "AS SELECT * FROM array_of_array_of_int").executeUpdate()
+
+    connection.prepareStatement("CREATE TABLE unsupported_array_of_array_of_int (col int[][])")
+      .executeUpdate()
+    connection.prepareStatement("INSERT INTO unsupported_array_of_array_of_int " +
+      "VALUES (array[array[1],array[2]]), (array[3])").executeUpdate()
   }
 
   test("Test multi-dimensional column types") {
@@ -302,4 +324,34 @@ class PostgresIntegrationSuite extends DockerJDBCIntegrationV2Suite with V2JDBCT
     assert(rows10(0).getString(0) === "amy")
     assert(rows10(1).getString(0) === "alex")
   }
+
+  test("Test reading 2d array from table created via CTAS command - positive test") {
+    val dfNoCTASTable = sql(s"SELECT * FROM $catalogName.array_of_int")
+    val dfWithCTASTable = sql(s"SELECT * FROM $catalogName.ctas_array_of_int")
+
+    checkAnswer(dfWithCTASTable, dfNoCTASTable.collect())
+  }
+
+  test("Test reading 2d array from table created via CTAS command - negative test") {
+    val dfNoCTASTable = sql(s"SELECT * FROM $catalogName.array_of_int")
+
+    checkError(
+      exception = intercept[org.apache.spark.SparkSQLException] {
+        // This should fail as only 1D CTAS tables are supported
+        sql(s"SELECT * FROM $catalogName.ctas_array_of_array_of_int").collect()
+      },
+      condition = "COLUMN_ARRAY_ELEMENT_TYPE_MISMATCH",
+      parameters = Map("pos" -> "0", "type" -> "\"ARRAY<INT>\"")
+    )
+  }
+
+  test("Test reading multiple dimension array from table created via CTAS command") {
+    checkError(
+      exception = intercept[org.apache.spark.SparkSQLException] {
+        sql(s"SELECT * FROM $catalogName.unsupported_array_of_array_of_int").collect()
+      },
+      condition = "COLUMN_ARRAY_ELEMENT_TYPE_MISMATCH",
+      parameters = Map("pos" -> "0", "type" -> "\"ARRAY<ARRAY<INT>>\"")
+    )
+  }
 }
diff --git a/sql/core/src/main/scala/org/apache/spark/sql/jdbc/PostgresDialect.scala b/sql/core/src/main/scala/org/apache/spark/sql/jdbc/PostgresDialect.scala
index 1265550b3f19..04a62298a49f 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/jdbc/PostgresDialect.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/jdbc/PostgresDialect.scala
@@ -393,7 +393,9 @@ private case class PostgresDialect()
         try {
           Using.resource(conn.createStatement()) { stmt =>
             Using.resource(stmt.executeQuery(query)) { rs =>
-              if (rs.next()) metadata.putLong("arrayDimension", rs.getLong(1))
+              // Metadata can return 0 for CTAS tables. For such tables, we are always reading
+              // them as 1D array
+              if (rs.next()) metadata.putLong("arrayDimension", Math.max(1L, rs.getLong(1)))
             }
           }
         } catch {