mposdev21 commented on code in PR #37972:
URL: https://github.com/apache/spark/pull/37972#discussion_r984123270


##########
connector/proto/src/main/scala/org/apache/spark/sql/proto/utils/SchemaConverters.scala:
##########
@@ -0,0 +1,172 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements.  See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to You under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License.  You may obtain a copy of the License at
+ *
+ *    http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+package org.apache.spark.sql.proto.utils
+
+import java.util
+
+import scala.collection.JavaConverters._
+import scala.collection.mutable
+
+import com.google.protobuf.Descriptors.{Descriptor, FieldDescriptor}
+
+import org.apache.spark.annotation.DeveloperApi
+import org.apache.spark.sql.proto.ScalaReflectionLock
+import org.apache.spark.sql.types._
+
+@DeveloperApi
+object SchemaConverters {
+  /**
+   * Internal wrapper for SQL data type and nullability.
+   *
+   * @since 3.4.0
+   */
+  case class SchemaType(dataType: DataType, nullable: Boolean)
+
+  /**
+   * Converts an Proto schema to a corresponding Spark SQL schema.
+   *
+   * @since 3.4.0
+   */
+  def toSqlType(protoSchema: Descriptor): SchemaType = {
+    toSqlTypeHelper(protoSchema)
+  }
+
+  def toSqlTypeHelper(descriptor: Descriptor): SchemaType = 
ScalaReflectionLock.synchronized {
+    
SchemaType(StructType(descriptor.getFields.asScala.flatMap(structFieldFor).toSeq),
+      nullable = true)
+  }
+
+  def structFieldFor(fd: FieldDescriptor): Option[StructField] = {

Review Comment:
   Agreed. We can throw an exception here. Is that what you had in mind ?



##########
connector/proto/src/main/scala/org/apache/spark/sql/proto/utils/SchemaConverters.scala:
##########
@@ -0,0 +1,172 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements.  See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to You under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License.  You may obtain a copy of the License at
+ *
+ *    http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+package org.apache.spark.sql.proto.utils
+
+import java.util
+
+import scala.collection.JavaConverters._
+import scala.collection.mutable
+
+import com.google.protobuf.Descriptors.{Descriptor, FieldDescriptor}
+
+import org.apache.spark.annotation.DeveloperApi
+import org.apache.spark.sql.proto.ScalaReflectionLock
+import org.apache.spark.sql.types._
+
+@DeveloperApi
+object SchemaConverters {
+  /**
+   * Internal wrapper for SQL data type and nullability.
+   *
+   * @since 3.4.0
+   */
+  case class SchemaType(dataType: DataType, nullable: Boolean)
+
+  /**
+   * Converts an Proto schema to a corresponding Spark SQL schema.
+   *
+   * @since 3.4.0
+   */
+  def toSqlType(protoSchema: Descriptor): SchemaType = {
+    toSqlTypeHelper(protoSchema)
+  }
+
+  def toSqlTypeHelper(descriptor: Descriptor): SchemaType = 
ScalaReflectionLock.synchronized {
+    
SchemaType(StructType(descriptor.getFields.asScala.flatMap(structFieldFor).toSeq),
+      nullable = true)
+  }
+
+  def structFieldFor(fd: FieldDescriptor): Option[StructField] = {
+    import com.google.protobuf.Descriptors.FieldDescriptor.JavaType._
+    val dataType = fd.getJavaType match {
+      case INT => Some(IntegerType)
+      case LONG => Some(LongType)
+      case FLOAT => Some(FloatType)
+      case DOUBLE => Some(DoubleType)
+      case BOOLEAN => Some(BooleanType)
+      case STRING => Some(StringType)
+      case BYTE_STRING => Some(BinaryType)
+      case ENUM => Some(StringType)
+      case MESSAGE =>
+        
Option(fd.getMessageType.getFields.asScala.flatMap(structFieldFor).toSeq)

Review Comment:
   Thanks for the pointer. I will take a look at it.



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