List of Pages in Category Spark (55 pages)
Spark
Apache Spark is a general framework for distributed computing that offers high performance for both batch and interactive processing. It exposes APIs for Java, Python, and Scala and consists of Spark core and several related projects:
- Spark SQL - Module for working with structured data. Allows you to seamlessly mix SQL queries with Spark programs.
- Spark Streaming - API that allows you to build scalable fault-tolerant streaming applications.
- MLlib - API that implements common machine learning algorithms.
- GraphX - API for graphs and graph-parallel computation.
Cloudera supports Spark core, Spark SQL (including DataFrames), Spark Streaming, and MLlib. Cloudera does not currently offer commercial support for GraphX.
*
A
)B
C
- Configuring Hive on Spark
- Configuring Spark Applications
- Configuring Spark on YARN for Long-Running Applications
D
H
I
J
M
- Managing Spark
- Managing Spark Standalone Using the Command Line
- Managing Spark Using Cloudera Manager
- Managing the Spark History Server
- Monitoring Spark Applications
R
- Running Hive on Spark
- Running Spark Applications
- Running Spark Applications on YARN
- Running Spark Python Applications
- Running Your First Spark Application
S
- Spark (Standalone) Metrics
- Spark (Standalone) Properties in CDH 5.0.0
- Spark (Standalone) Properties in CDH 5.1.0
- Spark (Standalone) Properties in CDH 5.2.0
- Spark (Standalone) Properties in CDH 5.3.0
- Spark (Standalone) Properties in CDH 5.4.0
- Spark (Standalone) Properties in CDH 5.5.0
- Spark and Hadoop Integration
- Spark and IPython and Jupyter Notebooks
- Spark Application Overview
- Spark Authentication
- Spark Guide
- Spark Indexing
- Spark Installation
- Spark Metrics
- Spark Packages
- Spark Prerequisites
- Spark Properties in CDH 5.0.0
- Spark Properties in CDH 5.1.0
- Spark Properties in CDH 5.2.0
- Spark Properties in CDH 5.3.0
- Spark Properties in CDH 5.4.0
- Spark Properties in CDH 5.5.0
T
U