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Posted to issues@spark.apache.org by "Hao Ren (JIRA)" <ji...@apache.org> on 2016/07/05 22:42:11 UTC

[jira] [Created] (SPARK-16386) SQLContext and HiveContext parse a query string differently

Hao Ren created SPARK-16386:
-------------------------------

             Summary: SQLContext and HiveContext parse a query string differently
                 Key: SPARK-16386
                 URL: https://issues.apache.org/jira/browse/SPARK-16386
             Project: Spark
          Issue Type: Bug
          Components: SQL
    Affects Versions: 1.6.2, 1.6.1, 1.6.0
         Environment: scala 2.10, 2.11
            Reporter: Hao Ren


I just want to figure out why the two contexts behavior differently even on a simple query.
In a netshell, I have a query in which there is a String containing single quote and casting to Array/Map.
I have tried all the combination of diff type of sql context and query call api (sql, df.select, df.selectExpr).
I can't find one rules all.

Here is the code for reproducing the problem.
{code: scala}
import org.apache.spark.sql.SQLContext
import org.apache.spark.sql.hive.HiveContext
import org.apache.spark.{SparkConf, SparkContext}

object Test extends App {

  val sc          = new SparkContext("local[2]", "test", new SparkConf)
  val hiveContext = new HiveContext(sc)
  val sqlContext  = new SQLContext(sc)

  val context = hiveContext
  //  val context = sqlContext

  import context.implicits._

  val df = Seq((Seq(1, 2), 2)).toDF("a", "b")
  df.registerTempTable("tbl")
  df.printSchema()

  // case 1
  context.sql("select cast(a as array<string>) from tbl").show()
  // HiveContext => org.apache.spark.sql.AnalysisException: cannot recognize input near 'array' '<' 'string' in primitive type specification; line 1 pos 17
  // SQLContext => OK

  // case 2
  context.sql("select 'a\\'b'").show()
  // HiveContext => OK
  // SQLContext => failure: ``union'' expected but ErrorToken(unclosed string literal) found

  // case 3
  df.selectExpr("cast(a as array<string>)").show() // OK with HiveContext and SQLContext

  // case 4
  df.selectExpr("'a\\'b'").show() // HiveContext, SQLContext => failure: end of input expected
}
{code}



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