Github user tdas commented on a diff in the pull request: https://github.com/apache/spark/pull/20096#discussion_r160550486 --- Diff: external/kafka-0-10-sql/src/test/scala/org/apache/spark/sql/kafka010/KafkaSourceSuite.scala --- @@ -237,85 +378,67 @@ class KafkaSourceSuite extends KafkaSourceTest { } } - test("(de)serialization of initial offsets") { + test("KafkaSource with watermark") { + val now = System.currentTimeMillis() val topic = newTopic() - testUtils.createTopic(topic, partitions = 64) + testUtils.createTopic(newTopic(), partitions = 1) + testUtils.sendMessages(topic, Array(1).map(_.toString)) - val reader = spark + val kafka = spark .readStream .format("kafka") .option("kafka.bootstrap.servers", testUtils.brokerAddress) + .option("kafka.metadata.max.age.ms", "1") + .option("startingOffsets", s"earliest") .option("subscribe", topic) + .load() - testStream(reader.load)( - makeSureGetOffsetCalled, - StopStream, - StartStream(), - StopStream) + val windowedAggregation = kafka + .withWatermark("timestamp", "10 seconds") + .groupBy(window($"timestamp", "5 seconds") as 'window) + .agg(count("*") as 'count) + .select($"window".getField("start") as 'window, $"count") + + val query = windowedAggregation + .writeStream + .format("memory") + .outputMode("complete") + .queryName("kafkaWatermark") + .start() + query.processAllAvailable() + val rows = spark.table("kafkaWatermark").collect() + assert(rows.length === 1, s"Unexpected results: ${rows.toList}") + val row = rows(0) + // We cannot check the exact window start time as it depands on the time that messages were + // inserted by the producer. So here we just use a low bound to make sure the internal + // conversion works. + assert( + row.getAs[java.sql.Timestamp]("window").getTime >= now - 5 * 1000, + s"Unexpected results: $row") + assert(row.getAs[Int]("count") === 1, s"Unexpected results: $row") + query.stop() } +} - test("maxOffsetsPerTrigger") { +class KafkaSourceSuiteBase extends KafkaSourceTest { + + import testImplicits._ + + test("(de)serialization of initial offsets") { val topic = newTopic() - testUtils.createTopic(topic, partitions = 3) - testUtils.sendMessages(topic, (100 to 200).map(_.toString).toArray, Some(0)) - testUtils.sendMessages(topic, (10 to 20).map(_.toString).toArray, Some(1)) - testUtils.sendMessages(topic, Array("1"), Some(2)) + testUtils.createTopic(topic, partitions = 5) val reader = spark .readStream .format("kafka") .option("kafka.bootstrap.servers", testUtils.brokerAddress) - .option("kafka.metadata.max.age.ms", "1") - .option("maxOffsetsPerTrigger", 10) .option("subscribe", topic) - .option("startingOffsets", "earliest") - val kafka = reader.load() - .selectExpr("CAST(key AS STRING)", "CAST(value AS STRING)") - .as[(String, String)] - val mapped: org.apache.spark.sql.Dataset[_] = kafka.map(kv => kv._2.toInt) - - val clock = new StreamManualClock - - val waitUntilBatchProcessed = AssertOnQuery { q => - eventually(Timeout(streamingTimeout)) { - if (!q.exception.isDefined) { - assert(clock.isStreamWaitingAt(clock.getTimeMillis())) - } - } - if (q.exception.isDefined) { - throw q.exception.get - } - true - } - testStream(mapped)( - StartStream(ProcessingTime(100), clock), - waitUntilBatchProcessed, - // 1 from smallest, 1 from middle, 8 from biggest - CheckAnswer(1, 10, 100, 101, 102, 103, 104, 105, 106, 107), - AdvanceManualClock(100), - waitUntilBatchProcessed, - // smallest now empty, 1 more from middle, 9 more from biggest - CheckAnswer(1, 10, 100, 101, 102, 103, 104, 105, 106, 107, - 11, 108, 109, 110, 111, 112, 113, 114, 115, 116 - ), + testStream(reader.load)( + makeSureGetOffsetCalled, StopStream, - StartStream(ProcessingTime(100), clock), - waitUntilBatchProcessed, - // smallest now empty, 1 more from middle, 9 more from biggest - CheckAnswer(1, 10, 100, 101, 102, 103, 104, 105, 106, 107, - 11, 108, 109, 110, 111, 112, 113, 114, 115, 116, - 12, 117, 118, 119, 120, 121, 122, 123, 124, 125 - ), - AdvanceManualClock(100), - waitUntilBatchProcessed, - // smallest now empty, 1 more from middle, 9 more from biggest - CheckAnswer(1, 10, 100, 101, 102, 103, 104, 105, 106, 107, - 11, 108, 109, 110, 111, 112, 113, 114, 115, 116, - 12, 117, 118, 119, 120, 121, 122, 123, 124, 125, - 13, 126, 127, 128, 129, 130, 131, 132, 133, 134 - ) - ) + StartStream(), + StopStream) } test("cannot stop Kafka stream") { --- End diff -- is this needed in the KafkaSourcesuiteBase?
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