MaxGekk commented on a change in pull request #27174: [SPARK-30490][SQL] Eliminate compiler warnings in Avro datasource URL: https://github.com/apache/spark/pull/27174#discussion_r365596481
########## File path: external/avro/src/main/scala/org/apache/spark/sql/avro/AvroOptions.scala ########## @@ -78,7 +80,17 @@ class AvroOptions( parameters .get(AvroOptions.ignoreExtensionKey) .map(_.toBoolean) - .getOrElse(!ignoreFilesWithoutExtension) + .map { ignoreExtensionOption => + if (ignoreExtensionOption != !ignoreFilesWithoutExtensionByDefault) { + warn(s"The Avro option '${AvroOptions.ignoreExtensionKey}'") Review comment: @HyukjinKwon you are right, it prints warnings per each partition. I have confirmed that by the test: ```scala test("count deprecation log events") { val partitionNum = 3 val logAppender = new AppenderSkeleton { val loggingEvents = new ArrayBuffer[LoggingEvent]() override def append(loggingEvent: LoggingEvent): Unit = loggingEvents.append(loggingEvent) override def close(): Unit = {} override def requiresLayout(): Boolean = false } withTempPath { dir => Seq(("a", 1, 2), ("b", 1, 2), ("c", 2, 1), ("d", 2, 1)) .toDF("value", "p1", "p2") .repartition(partitionNum) .write .format("avro") .option("header", true) .save(dir.getCanonicalPath) withLogAppender(logAppender) { val df = spark .read .format("avro") .schema("value STRING, p1 INTEGER, p2 INTEGER") .option(AvroOptions.ignoreExtensionKey, false) .option("header", true) .load(dir.getCanonicalPath) df.count() } val deprecatedEvents = logAppender.loggingEvents .map(_.getRenderedMessage) .filter(_.contains(AvroOptions.ignoreExtensionKey)) assert(deprecatedEvents.size === partitionNum) } } ``` ---------------------------------------------------------------- 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. For queries about this service, please contact Infrastructure at: us...@infra.apache.org With regards, Apache Git Services --------------------------------------------------------------------- To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org