Data Science in Spark with Sparklyr : : CHEAT SHEET
Data Science in Spark with Sparklyr : : CHEAT SHEET
Intro
sparklyr is an R interface for Apache Spark?,
it provides a complete dplyr backend and the
option to query directly using Spark SQL
statement. With sparklyr, you can orchestrate
distributed machine learning using either
Spark¡¯s MLlib or H2O Sparkling Water.
Starting with version 1.044, RStudio Desktop,
Server and Pro include integrated support for
the sparklyr package. You can create and
manage connections to Spark clusters and local
Spark instances from inside the IDE.
RStudio Integrates with sparklyr
Disconnect
Open connection log
Open the
Spark UI
Spark & Hive Tables
Cluster Manager
?
?
?
Export an R
DataFrame
Read a file
Read existing
Hive table
Tidy
?
?
?
Transform
dplyr verb
Direct Spark
SQL (DBI)
SDF function
(Scala API)
Transformer
function
Wrangle
R for Data Science, Grolemund & Wickham
fd
or
Mesos
fd
STAND ALONE CLUSTER Worker Nodes
fd
fd
fd
Visualize
Collect data into
R for plotting
Model
?
?
Communicate
?
?
Spark MLlib
H2O Extension
Collect data
into R
Share plots,
documents,
and apps
Getting Started
LOCAL MODE (No cluster required)
ON A YARN MANAGED CLUSTER
1. Install a local version of Spark:
spark_install ("2.0.1")
2. Open a connection
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