[jira] [Created] (SPARK-12801) The DataFrame.rdd not return same result

["Joseph Sun (JIRA)" <ji...@apache.org>]

Joseph Sun created SPARK-12801:
----------------------------------

             Summary: The DataFrame.rdd not return same result
                 Key: SPARK-12801
                 URL: https://issues.apache.org/jira/browse/SPARK-12801
             Project: Spark
          Issue Type: Bug
          Components: Spark Core, SQL
    Affects Versions: 1.5.2
         Environment: 3 servers of centos7, cluster mode
            Reporter: Joseph Sun


run spark-shell and typeing following codes.

> import org.apache.spark.sql.types._
> val schema = StructType(StructField("id",IntegerType,true)::Nil)
> val rdd = sc.parallelize((0 to 10000)).map(Row(_))
> val df = sqlContext.createDataFrame(rdd,schema)
> df.registerTempTable("test")
> sqlContext.cacheTable("test")
> sqlContext.sql("select *  from test limit 2").collect()
show Array[org.apache.spark.sql.Row] = Array([0], [1]) 

> sqlContext.sql("select *  from test limit 2").rdd.collect()
run the code one more times,the result is not consistent.
some times the result is : Array[org.apache.spark.sql.Row] = Array([0], [1])
or: Array[org.apache.spark.sql.Row] = Array([2500], [2501])

why?






--
This message was sent by Atlassian JIRA
(v6.3.4#6332)

---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org