Correct :)
_
From: Sun, Rui
Sent: Sunday, February 7, 2016 5:19 AM
Subject: RE: Fwd: Writing to jdbc database from SparkR (1.5.2)
To: , Felix Cheung , Andrew
Holway
This should be solved by your pending PR
https://github.com/apache
mailto:andrew.hol...@otternetworks.de>>;
dev@spark.apache.org<mailto:dev@spark.apache.org>
Subject: Re: Fwd: Writing to jdbc database from SparkR (1.5.2)
Unfortunately I couldn't find a simple workaround. It seems to be an issue with
DataFrameWriter.save() that does not work
posed.
On Sat, Feb 6, 2016 at 11:57 PM -0800, "Sun, Rui" wrote:
DataFrameWrite.jdbc() does not work?
From: Felix Cheung [mailto:felixcheun...@hotmail.com]
Sent: Sunday, February 7, 2016 9:54 AM
To: Andrew Holway ; dev@spark.apache.org
Subject: Re: Fwd: Writing to jdbc da
ew Holway ; dev@spark.apache.org
Subject: Re: Fwd: Writing to jdbc database from SparkR (1.5.2)
Unfortunately I couldn't find a simple workaround. It seems to be an issue with
DataFrameWriter.save() that does not work with jdbc source/format
For instance, this does not work in Scala either
df
DataFrameWrite.jdbc() does not work?
From: Felix Cheung [mailto:felixcheun...@hotmail.com]
Sent: Sunday, February 7, 2016 9:54 AM
To: Andrew Holway ; dev@spark.apache.org
Subject: Re: Fwd: Writing to jdbc database from SparkR (1.5.2)
Unfortunately I couldn't find a simple workaround. It see
Unfortunately I couldn't find a simple workaround. It seems to be an issue with
DataFrameWriter.save() that does not work with jdbc source/format
For instance, this does not work in Scala
eitherdf1.write.format("jdbc").mode("overwrite").option("url",
"jdbc:mysql://something.rds.amazonaws.com:330
