Hi Guys,
I have struggled for a while on this seeming simple thing:
I have a sequence of timestamps and want to create a dataframe with 1 column.
Seq[java.sql.Timestamp]
//import collection.breakOut
var seqTimestamp = scala.collection.Seq(listTs:_*)
seqTimestamp: Seq[java.sql.Timestamp] = List(2015-07-22 16:52:00.0,
2015-07-22 16:53:00.0, ....., )
I tried a lot of ways to create a dataframe and below is another failed way:
import sqlContext.implicits._
var rddTs = sc.parallelize(seqTimestamp)
rddTs.toDF("minInterval")
<console>:108: error: value toDF is not a member of
org.apache.spark.rdd.RDD[java.sql.Timestamp] rddTs.toDF("minInterval")
So, any guru could please tell me how to do this????
I am not familiar with Scala or Spark. I wonder if learning Scala will
help this at all? It just sounds a lot of time of trial/error and
googling.
docs like
https://spark.apache.org/docs/1.3.0/api/java/org/apache/spark/sql/DataFrame.html
https://spark.apache.org/docs/1.3.0/api/java/org/apache/spark/sql/SQLContext.html#createDataFrame(scala.collection.Seq,
scala.reflect.api.TypeTags.TypeTag)
does not help.
Btw, I am using Spark 1.4.
Thanks in advance,
J
---------------------------------------------------------------------
To unsubscribe, e-mail: user-unsubscr...@spark.apache.org
For additional commands, e-mail: user-h...@spark.apache.org
