Spark - HDFS

Card Puncher Data Processing

Spark - HDFS

About

HDFS in Spark.

Management

Configuration

If you plan to read and write from HDFS using Spark, there are two Hadoop configuration files that should be included on Spark’s classpath (???):

To make these files visible to Spark, set HADOOP_CONF_DIR in $SPARK_HOME/conf/spark-env.sh to a location containing the configuration files.

Documentation / Reference





Discover More
Card Puncher Data Processing
Python - Installation and configuration

Installation and configuration of a python environment. Download it and install it Example: Linux: Configuration: Path Third library installation: You can also install...
Card Puncher Data Processing
Spark - Installation

Spark is agnostic to the underlying cluster manager. The installation is then cluster manager dependent . Mesos See To enable HDFS,...
Card Puncher Data Processing
Spark - Version

Spark uses the Hadoop core library to talk to HDFS and other Hadoop-supported storage systems. Because the protocols have changed in different versions of Hadoop, you must build / use Spark against the...



Share this page:
Follow us:
Task Runner