Good! Thank you.
On Thu, Apr 2, 2015 at 9:05 AM, Xiangrui Meng men...@gmail.com wrote:
I reproduced the bug on master and submitted a patch for it:
https://github.com/apache/spark/pull/5329. It may get into Spark
1.3.1. Thanks for reporting the bug! -Xiangrui
On Wed, Apr 1, 2015 at 12:57
I reproduced the bug on master and submitted a patch for it:
https://github.com/apache/spark/pull/5329. It may get into Spark
1.3.1. Thanks for reporting the bug! -Xiangrui
On Wed, Apr 1, 2015 at 12:57 AM, Jaonary Rabarisoa jaon...@gmail.com wrote:
Hmm, I got the same error with the master. Here
Hmm, I got the same error with the master. Here is another test example
that fails. Here, I explicitly create
a Row RDD which corresponds to the use case I am in :
*object TestDataFrame { def main(args: Array[String]): Unit = {
val conf = new
Hi all,
DataFrame with an user defined type (here mllib.Vector) created with
sqlContex.createDataFrame can't be saved to parquet file and raise
ClassCastException:
org.apache.spark.mllib.linalg.DenseVector cannot be cast to
org.apache.spark.sql.Row error.
Here is an example of code to reproduce
I cannot reproduce this error on master, but I'm not aware of any
recent bug fixes that are related. Could you build and try the current
master? -Xiangrui
On Tue, Mar 31, 2015 at 4:10 AM, Jaonary Rabarisoa jaon...@gmail.com wrote:
Hi all,
DataFrame with an user defined type (here mllib.Vector)
