There are other approaches like this
Find Livy on the page
https://blog.rstudio.com/2017/01/24/sparklyr-0-5/
Probably will be best to follow up with sparklyr for any support question.
From: Adaryl Wakefield
Sent: Sunday, September
>It is free for use might need r studio server depending on which spark master
>you choose.
Yeah I think that’s where my confusion is coming from. I’m looking at a cheat
sheet. For connecting to a Yarn Cluster the first step is;
1. Install RStudio Server or RStudio Pro on one of the existing
You can also you sparkly on Databricks.
https://databricks.com/blog/2017/05/25/using-sparklyr-databricks.html
Cheers
Jules
Sent from my iPhone
Pardon the dumb thumb typos :)
> On Sep 24, 2017, at 1:24 PM, Felix Cheung wrote:
>
> Both are free to use; you can use
If you google it you will find posts or info on how to connect it to different
cloud and hadoop/spark vendors.
From: Georg Heiler
Sent: Sunday, September 24, 2017 1:39:09 PM
To: Felix Cheung; Adaryl Wakefield; user@spark.apache.org
No. It is free for use might need r studio server depending on which spark
master you choose.
Felix Cheung schrieb am So. 24. Sep. 2017 um
22:24:
> Both are free to use; you can use sparklyr from the R shell without
> RStudio (but you probably want an IDE)
>
>
Both are free to use; you can use sparklyr from the R shell without RStudio
(but you probably want an IDE)
From: Adaryl Wakefield
Sent: Sunday, September 24, 2017 11:19:24 AM
To: user@spark.apache.org
Subject: using R with Spark
There are two packages SparkR and sparklyr. Sparklyr seems to be the more
useful. However, do you have to pay to use it? Unless I'm not reading this
right, it seems you have to have the paid version of RStudio to use it.
Adaryl "Bob" Wakefield, MBA
Principal
Mass Street Analytics, LLC
hello all,
Im trying to write parquet files using
df.write.partitionBy('type').mode('overwrite').parquet(path),when df is
partitioned by column `type` it may skrewed.Some dir may take 100GB hdfs
space or more,but some of them only take 1GB.But all sub dir have the same
files nums,let's say