Hollow

Hollow is a java library and toolset for disseminating in-memory datasets from a single producer to many consumers for high performance read-only access. Read more.

Documentation is available at http://hollow.how.

Getting Started

We recommend jumping into the quick start guide — you'll have a demo up and running in minutes, and a fully production-scalable implementation of Hollow at your fingertips in about an hour. From there, you can plug in your data model and it's off to the races.

Get Hollow

Release binaries are available from Maven Central and jCenter.

In a Maven .pom file:

        ...
        <dependency>
                <groupId>com.netflix.hollow</groupId>
                <artifactId>hollow</artifactId>
                <version>5.1.3</version>
        </dependency>
        ...

In a Gradle build.gradle file:

        ...
        compile 'com.netflix.hollow:hollow:5.1.3'
        ...

Release candidate binaries, matching the -rc\.* pattern for an artifact's version, are available from the jCenter oss-candidate repository, which may be declared in a build.gradle file:

        ...
        repositories {
            maven {
                url 'https://dl.bintray.com/netflixoss/oss-candidate/'
            }
        }
        ...

Get Support

Hollow is maintained by the Platform Data Technologies team at Netflix. Support can be obtained directly from us or from fellow users through Gitter or by opening an issue in this project.

Generating the Docs

To view the docs locally you can just make site-serve, this will start the MkDocs server at http://127.0.0.1:8000/. You can also run make site-build to build the site locally and make site-deploy to deploy it to Github.

MkDocs runs with python, the Makefile via the venv task should take care of setting the Python's virtualenv for the site tasks. It does assume that virtualenv is available as a command and it also assume that we are targeting python3. Installing Python3 is out of the scope, check your OS package manager. For example, in Mac you can use homebrew to install python3 or anaconda3.

LICENSE

Copyright (c) 2016 Netflix, Inc.

Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at

http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.