[jira] [Created] (SPARK-21216) Streaming DataFrames fail to join with Hive tables

["Burak Yavuz (JIRA)" <ji...@apache.org>]

Burak Yavuz created SPARK-21216:
-----------------------------------

             Summary: Streaming DataFrames fail to join with Hive tables
                 Key: SPARK-21216
                 URL: https://issues.apache.org/jira/browse/SPARK-21216
             Project: Spark
          Issue Type: Bug
          Components: Structured Streaming
    Affects Versions: 2.1.1
            Reporter: Burak Yavuz
            Assignee: Burak Yavuz


The following code will throw a cryptic exception:

{code}
import org.apache.spark.sql.execution.streaming.MemoryStream
    import testImplicits._

    implicit val _sqlContext = spark.sqlContext

    Seq((1, "one"), (2, "two"), (4, "four")).toDF("number", "word").createOrReplaceTempView("t1")
    // Make a table and ensure it will be broadcast.
    sql("""CREATE TABLE smallTable(word string, number int)
          |ROW FORMAT SERDE 'org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe'
          |STORED AS TEXTFILE
        """.stripMargin)

    sql(
      """INSERT INTO smallTable
        |SELECT word, number from t1
      """.stripMargin)

    val inputData = MemoryStream[Int]
    val joined = inputData.toDS().toDF()
      .join(spark.table("smallTable"), $"value" === $"number")

    val sq = joined.writeStream
      .format("memory")
      .queryName("t2")
      .start()
    try {
      inputData.addData(1, 2)

      sq.processAllAvailable()
    } finally {
      sq.stop()
    }
{code}

If someone creates a HiveSession, the planner in `IncrementalExecution` doesn't take into account the Hive scan strategies



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