SandishKumarHN commented on code in PR #39550:
URL: https://github.com/apache/spark/pull/39550#discussion_r1167987988


##########
connector/protobuf/src/main/scala/org/apache/spark/sql/protobuf/functions.scala:
##########
@@ -72,51 +69,129 @@ object functions {
   }
 
   /**
-   * Converts a binary column of Protobuf format into its corresponding 
catalyst value. The
-   * specified Protobuf class must match the data, otherwise the behavior is
-   * undefined: it may fail or return arbitrary result. The jar containing 
Java class should be
+   * Converts a binary column of Protobuf format into its corresponding 
catalyst value.
+   * `messageClassName` points to Protobuf Java class. The jar containing Java 
class should be
    * shaded. Specifically, `com.google.protobuf.*` should be shaded to
    * `org.sparkproject.spark-protobuf.protobuf.*`.
+   * https://github.com/rangadi/shaded-protobuf-classes is useful to create 
shaded jar from
+   * Protobuf files.
    *
    * @param data
    *   the binary column.
-   * @param shadedMessageClassName
-   *   The Protobuf class name. E.g. 
<code>org.spark.examples.protobuf.ExampleEvent</code>.
+   * @param messageClassName
+   *   The full name for Protobuf Java class. E.g. 
<code>com.example.protos.ExampleEvent</code>.
    *   The jar with these classes needs to be shaded as described above.
    * @since 3.4.0
    */
   @Experimental
-  def from_protobuf(data: Column, shadedMessageClassName: String): Column = {
-    new Column(ProtobufDataToCatalyst(data.expr, shadedMessageClassName))
+  def from_protobuf(data: Column, messageClassName: String): Column = {
+    new Column(ProtobufDataToCatalyst(data.expr, messageClassName))
   }
 
   /**
-   * Converts a column into binary of protobuf format.
+   * Converts a binary column of Protobuf format into its corresponding 
catalyst value.
+   * `messageClassName` points to Protobuf Java class. The jar containing Java 
class should be
+   * shaded. Specifically, `com.google.protobuf.*` should be shaded to
+   * `org.sparkproject.spark-protobuf.protobuf.*`.
+   * https://github.com/rangadi/shaded-protobuf-classes is useful to create 
shaded jar from
+   * Protobuf files.
+   *
+   * @param data
+   *   the binary column.
+   * @param messageClassName
+   *   The full name for Protobuf Java class. E.g. 
<code>com.example.protos.ExampleEvent</code>.
+   *   The jar with these classes needs to be shaded as described above.
+   * @param options
+   * @since 3.4.0
+   */
+  @Experimental

Review Comment:
   @ericsun95 Protobuf files can be in either .pb or binary format. .proto 
files contain the schema for the protobuf data, while binary files contain the 
actual data. If your protobuf files are in binary format, you can use the Spark 
binaryFile data source to read them.



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