Overview¶
Welcome to the H2O Sparkling Water documentation site! This document describes how to install and run Sparkling Water.
Depending on your area of interest, select a learning path from the sidebar, or look at the full content outline below. To view Sparkling Water examples, please visit the Sparkling Water GitHub repository at https://github.com/h2oai/sparkling-water/tree/rel-2.2/examples.
Have questions about Sparkling Water? Post them on Stack Overflow using the sparkling-water tag, or join the chat on Gitter.
Contents
- About Sparkling Water
- Typical Use Case
- Sparkling Water Requirements
- Design
- Configuration
- Deployment
- How to…
- Extending H2O Jar Manually
- Enabling Security
- Calling H2O Algorithms
- Running Sparkling Water
- Use Sparkling Water in Windows Environments
- Spark Frame <–> H2O Frame Conversions
- H2O Frame as Spark’s Data Source
- Creating H2OFrame from an Existing Key
- Change Sparkling Shell Logging Level
- Change Sparkling Shell Logs Location
- Obtain Sparkling Water Logs
- Running RSparkling on Databricks Azure Cluster
- Running Sparkling Water on Databricks Azure Cluster
- Running PySparkling on Databricks Azure Cluster
- Sparkling Water and Zeppelin
- Use Sparkling Water via Spark Packages
- Development
- PySparkling
- RSparkling
- Frequently Asked Questions
- Change Log
- v2.2.8 (2018-02-14)
- v2.2.7 (2018-01-18)
- v2.2.6 (2018-01-03)
- v2.2.5 (2017-12-11)
- v2.2.4 (2017-12-01)
- v2.2.3 (2017-11-25)
- v2.2.2 (2017-10-23)
- v2.2.1 (2017-10-10)
- v2.2.0 (2017-08-23)
- v2.1.x (2017-03-02)
- v2.0.x (2016-09-26)
- v1.6.x (2016-03-15)
- v1.5.x (2015-09-28)
- v1.4.x (2015-07-06)
- v1.3.x (2015-05-25)
- v1.2.x (2015-05-18) and older