WweiL commented on code in PR #41129: URL: https://github.com/apache/spark/pull/41129#discussion_r1203094949
########## connector/connect/common/src/main/scala/org/apache/spark/sql/connect/common/foreachWriterPacket.scala: ########## @@ -0,0 +1,65 @@ +/* + * 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.connect.common + +import com.google.protobuf.ByteString +import java.io.{InputStream, ObjectInputStream, ObjectOutputStream, OutputStream} + +import org.apache.spark.sql.catalyst.encoders.AgnosticEncoder + +/** + * A wrapper class around the foreachWriter and it's Input/Output [[AgnosticEncoder]](s). + * + * This class is shared between the client and the server to allow for serialization and + * deserialization of the JVM object. + * + * @param foreachWriter + * The actual foreachWriter from client + * @param rowEncoder + * An [[AgnosticEncoder]] for the input row + */ +@SerialVersionUID(3882541391565582579L) +case class foreachWriterPacket(foreachWriter: AnyRef, rowEncoder: AgnosticEncoder[_]) Review Comment: > We can carry these two fields in the protobuf For this I think if we are reusing scalaUDF it's hard. We might could use Tuple2 here ########## connector/connect/common/src/main/scala/org/apache/spark/sql/connect/common/foreachWriterPacket.scala: ########## @@ -0,0 +1,65 @@ +/* + * 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.connect.common + +import com.google.protobuf.ByteString +import java.io.{InputStream, ObjectInputStream, ObjectOutputStream, OutputStream} + +import org.apache.spark.sql.catalyst.encoders.AgnosticEncoder + +/** + * A wrapper class around the foreachWriter and it's Input/Output [[AgnosticEncoder]](s). + * + * This class is shared between the client and the server to allow for serialization and + * deserialization of the JVM object. + * + * @param foreachWriter + * The actual foreachWriter from client + * @param rowEncoder + * An [[AgnosticEncoder]] for the input row + */ +@SerialVersionUID(3882541391565582579L) +case class foreachWriterPacket(foreachWriter: AnyRef, rowEncoder: AgnosticEncoder[_]) Review Comment: > We can carry these two fields in the protobuf For this I think if we are reusing scalaUDF it's hard. We might could use Tuple2 here -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For queries about this service, please contact Infrastructure at: us...@infra.apache.org --------------------------------------------------------------------- To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
