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/master/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
- Installing and Starting
- Design
- Configuration
- Deployment
- Sparkling Water Backends
- Importing H2O Mojo
- Deploying PySparkling Pipeline Models
- Using the MOJO Scoring Pipeline with Spark/Sparkling Water
- Use Sparkling Water with Amazon EMR
- Use Sparkling Water with Amazon EMR from the Edge Node
- Start Sparkling Water on Amazon EMR using our Terraform Template
- Running Sparkling Water on Databricks Azure Cluster
- Running RSparkling on Databricks Azure Cluster
- Running PySparkling on Databricks Azure Cluster
- Download H2O Logs from Databricks Cloud
- Running Sparkling Water on Google Cloud Dataproc
- Using Sparkling Water with Microsoft Azure HDInsight - Beta
- Use Sparkling Water in Windows Environments
- Use RSparkling in Windows Environments
- Sparkling Water and Zeppelin
- How to…
- Extending H2O Jar Manually
- Calling H2O Algorithms
- Running Sparkling Water
- Changing the Default Port
- Hive Support in Sparkling Water
- Enabling SSL
- Enabling LDAP
- Enabling Kerberos Authentication
- Running Sparkling Water on Kerberized Hadoop Cluster
- Using SSL to secure H2O Flow
- Spark Frame <–> H2O Frame Conversions
- H2O Frame as Spark’s Data Source
- Creating H2OFrame from an Existing Key
- Import & Export H2O Frames from/to S3
- Train XGBoost Model in Sparkling Water
- Using Grid Search GBM in Spark Pipelines
- Change Sparkling Shell Logging Level
- Change Sparkling Shell Logs Location
- Obtain Sparkling Water Logs
- Use Sparkling Water via Spark Packages
- Development
- PySparkling
- RSparkling
- Using RSparkling
- Frequently Asked Questions
- Change Log
- v2.4.11 (2019-05-17)
- v2.4.10 (2019-04-26)
- v2.4.9 (2019-04-03)
- v2.4.8 (2019-03-15)
- v2.4.7 (2019-03-07)
- v2.4.6 (2019-02-18)
- v2.4.5 (2019-01-29)
- v2.4.4 (2019-01-21)
- v2.4.3 (2019-01-17)
- v2.4.2 (2019-01-08)
- v2.4.1 (2018-12-27)
- v2.3.x (2018-03-29)
- v2.2.x (2017-08-17)
- 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