Hi Julien,
Could you give more details about the problems you faced?
Here is a working example with Spark dataframe and Spark SQL:
https://gist.github.com/radcheb/d16042d8bb3815d3dd42030ecedc43cf
Cheers,
Radhwane Chebaane
2017-07-18 18:21 GMT+02:00 Julien CHAMP <jch...@tellmeplus.com>:
ons confidentielles ou couvertes par
> le secret professionnel, à l’intention de son destinataire. Si vous n’en
> êtes pas le destinataire, merci de contacter l’expéditeur et d’en supprimer
> toute copie.
> This email may contain confidential and/or privileged information for the
> inte
de', 'DROPMALFORMED')
.load(sources: _*)
Cheers,
Radhwane Chebaane
2017-07-05 16:08 GMT+02:00 Didac Gil <didacgil9...@gmail.com>:
> Hi,
>
> Do you know any simple way to load multiple csv files (same schema) that
> are in different paths?
> Wildcards are not a
park.rdd.RDD.org$apache$spark$rdd$RDD$$dependencies_ of type
> scala.collection.Seq in instance of org.apache.spark.rdd.MapPartitionsRDD
>
> Seems it has problem converting the JavaRDD to Dataframe. However I
> cannot figure out what mistake I make here and the exception message is
> hard to
-case
in SparkR but no luck.
Is there any implementation of *Word2vec* in *SparkR* ? Is there any
current work to support this feature in MLlib with R?
Thanks!
Radhwane Chebaane
--
[image: photo] Radhwane Chebaane
Distributed systems engineer, Mindlytix
Mail: radhw...@mindlytix.com <ra
