Skip to content
forked from yahoo/fili

Easily make RESTful web services for time series reporting with Big Data analytics engines like Druid and Hive.

License

Notifications You must be signed in to change notification settings

kkonstantine/fili

 
 

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Fili

Read this in other languages: 中文.

Download Gitter Travis Codacy grade Users Google Group Developers Google Group

Fili is a Java-based framework that makes it easy to build and maintain RESTful web services for time series reporting and analytics. Fili's HTTP GET-based reporting API is clean and user-friendly, hiding the complexities of complicated metric and dimension definition, data storage, and query optimization from end-users. Designed with Big Data and scalability in mind, Fili has first-class support for Druid as a back-end, but Fili's flexible pipeline-style architecture can handle nearly any back-end for data storage.

Fili exposes the same core concepts that all time series reporting and analytics systems expose:

Other systems expose additional concepts like Views, Partitions, and metric formulas, but Fili chooses not to expose end-users to those low-level concerns. By limiting the mental model of Fili's API to just these core domain concepts, Fili's API allows end-users to better extract business value by focusing on finding answers to the what and why questions from their data, rather than on how to ask their question.

Fili's simple and clear API lets users focus on their business-driven questions, and the Fili library takes care of figuring out how to best answer the question for them.

This simplicity also allows for a huge amount of flexibility around where data is stored and how it's queried and retrieved from back-end systems. Having such flexibility allows those maintaining a web service built with Fili to move data around, better optimize queries, and even swap out entire back-end systems without breaking their end-users or forcing them to go through a painful migration.

Fili also provides a plethora of other capabilities. Here are some of them:

Functionality Operability
Complex metric definition Rate limiting
Performance slice routing Query weight checks
Dimension joins (both annotation and filtering) Rich usage metrics
Partial interval protection Health checks
Volatile data handling Caching
Modular architecture

Community Gitter Users Google Group Developers Google Group

The Fili community generally hangs out on Gitter, so please drop by if you have any questions, comments, concerns, wishes, hopes, dreams, wants, needs, yearnings, musings, or idle curiosities about Fili. The core Fili developers love meeting new people and talking with them about how they can best use Fili to solve their Big Data time series reporting and analytics problems. We know there are gaps in Fili, and definitely lots of new, powerful capabilities to add, so hearing about what's working and what could be better will help drive the direction of Fili.

If you have other thoughts, or are running into trouble and are not able to get help from the community on Gitter, please open an issue describing your problem or idea.

If you would like to get involved with Fili development, check out the CONTRIBUTING file.

Quick Start

Fili comes with a pre-configured example application to help you get started and serve as a jumping-off-point for building your own web service using Fili. The example application lets you report on Wikipedia article edit information, and picks up where Druid's quick-start tutorial leaves off.

Versioning

Fili is stable and production-ready today, but the codebase is still under active development, with many large-scale changes and new features being worked on or planned for the future.

Active development happens on the patch version of the highest minor version.

@Deprecated

APIs marked with the @Deprecated annotation are planned for removal in upcoming releases. Deprecated APIs will be supported for 1 stable release beyond the release in which they were deprecated, but it is strongly recommended to stop using them. After deprecated APIs are no longer supported, they may be removed at any time.

Binaries (How to Get It)

Binaries for Fili are stored in Bintray. Dependency information for Maven, Ivy, and Gradle can be found at https://bintray.com/yahoo/maven/fili, and some examples are below.

Maven:

<dependency>
    <groupId>com.yahoo.fili</groupId>
    <artifactId>fili</artifactId>
    <version>x.y.z</version>
</dependency>

<repository>
    <id>fili</id>
    <url>http://yahoo.bintray.com/maven</url>
</repository>

Gradle:

repositories {
    maven { url 'http://yahoo.bintray.com/maven' }
}

dependencies {
    compile 'com.yahoo.fili:fili:x.y.z'
}

The most bleeding-edge version is: Bleeding-edge

The most recent stable version is: Stable

Extending

Fili's easy to extend! It has a bunch of hooks already (AbstractBinderFactory)! There's a module system for config and modules depending on other modules! There's lots more to say here, but the time the time, look at the time!

Contributing Developers Google Group

More details can be found in the CONTRIBUTING file.

LICENSE

Copyright 2016 Yahoo! 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.

About

Easily make RESTful web services for time series reporting with Big Data analytics engines like Druid and Hive.

Resources

License

Stars

Watchers

Forks

Packages

No packages published

Languages

  • Java 55.7%
  • Groovy 44.2%
  • Other 0.1%