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https://issues.apache.org/jira/browse/SPARK-21246?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16067620#comment-16067620
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Yuming Wang commented on SPARK-21246:
-------------------------------------
{{Seq(3)}} should be {{Seq(3L)}}, This works for me:
{code:java}
import org.apache.spark.sql.types._
import org.apache.spark.sql.Row
val schemaString = "name"
val lstVals = Seq(3L)
val rowRdd = sc.parallelize(lstVals).map(x => Row( x ))
rowRdd.collect()
// Generate the schema based on the string of schema
val fields = schemaString.split(" ").map(fieldName => StructField(fieldName,
LongType, nullable = true))
val schema = StructType(fields)
print(schema)
val peopleDF = spark.createDataFrame(rowRdd, schema)
peopleDF.show()
{code}
> Unexpected Data Type conversion from LONG to BIGINT
> ---------------------------------------------------
>
> Key: SPARK-21246
> URL: https://issues.apache.org/jira/browse/SPARK-21246
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 1.6.1
> Environment: Using Zeppelin Notebook or Spark Shell
> Reporter: Monica Raj
>
> The unexpected conversion occurred when creating a data frame out of an
> existing data collection. The following code can be run in zeppelin notebook
> to reproduce the bug:
> import org.apache.spark.sql.types._
> import org.apache.spark.sql.Row
> val schemaString = "name"
> val lstVals = Seq(3)
> val rowRdd = sc.parallelize(lstVals).map(x => Row( x ))
> rowRdd.collect()
> // Generate the schema based on the string of schema
> val fields = schemaString.split(" ")
> .map(fieldName => StructField(fieldName, LongType, nullable = true))
> val schema = StructType(fields)
> print(schema)
> val peopleDF = sqlContext.createDataFrame(rowRdd, schema)
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