java/kudu-spark/src/test/scala/org/apache/kudu/spark/kudu/StreamingTest.scala

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package org.apache.kudu.spark.kudu

import org.apache.spark.sql.SQLContext
import org.apache.spark.sql.execution.streaming._
import org.apache.spark.sql.streaming.OutputMode
import org.junit.Assert.assertEquals
import org.junit.Before
import org.junit.Test

class StreamingTest extends KuduTestSuite {

  implicit var sqlContext: SQLContext = _
  var kuduOptions: Map[String, String] = _

  @Before
  def setUp(): Unit = {
    sqlContext = ss.sqlContext
    kuduOptions =
      Map("kudu.table" -> simpleTableName, "kudu.master" -> harness.getMasterAddressesAsString)
  }

  @Test
  def testKuduContextWithSparkStreaming() {
    val spark = ss
    import spark.implicits._
    val checkpointDir = java.nio.file.Files.createTempDirectory("spark_kudu")
    val input = MemoryStream[Int]
    val query = input
      .toDS()
      .map(v => (v + 1, v.toString))
      .toDF("key", "val")
      .writeStream
      .format("kudu")
      .option("kudu.master", harness.getMasterAddressesAsString)
      .option("kudu.table", simpleTableName)
      .option("checkpointLocation", checkpointDir.toFile.getCanonicalPath)
      .outputMode(OutputMode.Update)
      .start()

    def verifyOutput(expectedData: Seq[(Int, String)]): Unit = {
      val df = sqlContext.read.options(kuduOptions).format("kudu").load
      val actual = df.rdd
        .map { row =>
          (row.get(0), row.getString(1))
        }
        .collect()
        .toSet
      assertEquals(actual, expectedData.toSet)
    }
    input.addData(1, 2, 3)
    query.processAllAvailable()
    verifyOutput(expectedData = Seq((2, "1"), (3, "2"), (4, "3")))
    query.stop()
  }
}