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ndbench-evcache-plugins


License

License
Categories

Categories

Net
GroupId

GroupId

com.netflix.ndbench
ArtifactId

ArtifactId

ndbench-evcache-plugins
Last Version

Last Version

0.3.13
Release Date

Release Date
Type

Type

jar
Description

Description

ndbench-evcache-plugins
ndbench-evcache-plugins
Project URL

Project URL

https://github.com/Netflix/ndbench
Source Code Management

Source Code Management

https://github.com/Netflix/ndbench.git

Download ndbench-evcache-plugins

Filename Size
ndbench-evcache-plugins-0.3.13.pom
ndbench-evcache-plugins-0.3.13.jar 3 KB
ndbench-evcache-plugins-0.3.13-sources.jar 3 KB
ndbench-evcache-plugins-0.3.13-javadoc.jar 21 KB
Browse

How to add to project

<!-- https://jarcasting.com/artifacts/com.netflix.ndbench/ndbench-evcache-plugins/ -->
<dependency>
    <groupId>com.netflix.ndbench</groupId>
    <artifactId>ndbench-evcache-plugins</artifactId>
    <version>0.3.13</version>
</dependency>
// https://jarcasting.com/artifacts/com.netflix.ndbench/ndbench-evcache-plugins/
implementation 'com.netflix.ndbench:ndbench-evcache-plugins:0.3.13'
// https://jarcasting.com/artifacts/com.netflix.ndbench/ndbench-evcache-plugins/
implementation ("com.netflix.ndbench:ndbench-evcache-plugins:0.3.13")
'com.netflix.ndbench:ndbench-evcache-plugins:jar:0.3.13'
<dependency org="com.netflix.ndbench" name="ndbench-evcache-plugins" rev="0.3.13">
  <artifact name="ndbench-evcache-plugins" type="jar" />
</dependency>
@Grapes(
@Grab(group='com.netflix.ndbench', module='ndbench-evcache-plugins', version='0.3.13')
)
libraryDependencies += "com.netflix.ndbench" % "ndbench-evcache-plugins" % "0.3.13"
[com.netflix.ndbench/ndbench-evcache-plugins "0.3.13"]

Dependencies

compile (10)

Group / Artifact Type Version
commons-lang : commons-lang jar 2.6
org.slf4j : slf4j-api jar 1.7.25
org.slf4j : slf4j-log4j12 jar 1.7.25
com.netflix.archaius : archaius2-core jar 2.3.2
com.google.inject : guice jar 4.1.0
com.google.inject.extensions : guice-multibindings jar 4.1.0
javax.inject : javax.inject jar 1
com.netflix.ndbench : ndbench-api jar 0.3.13
com.netflix.evcache : evcache-client jar 4.131.0
net.spy : spymemcached jar 2.11.4

provided (1)

Group / Artifact Type Version
javax.servlet : servlet-api jar 2.5

Project Modules

There are no modules declared in this project.

NdBench

Build Status Dev chat at https://gitter.im/Netflix/ndbench Apache V2 License

Netflix Data Benchmark (NDBench) is a pluggable cloud-enabled benchmarking tool that can be used across any data store system. NDBench provides plugin support for several data stores and can be extended to other client APIs.

NDBench logo

Client APIs

  • Apache Cassandra (Thrift and CQL)
  • Redis
  • Elasticsearch
  • Elassandra
  • Amazon DynamoDB
  • Apache Geode
  • JanusGraph
  • Netflix Dynomite (Redis API)

Features

  • Dynamically change the benchmark configurations while the test is running, hence perform tests along with our production microservices.
  • Be able to integrate with platform cloud services such as dynamic configurations, discovery, metrics, etc.
  • Run for an infinite duration in order to introduce failure scenarios and test long running maintenances such as database repairs.
  • Provide pluggable patterns and loads.
  • Support different client APIs.
  • Deploy, manage and monitor multiple instances from a single entry point.
  • Support multiple cloud platform due to integration with Cloud Foundry

Details about the features can be found in the Wiki

Workflow

The stable version of NdBench is the master branch.

For questions or contributions, please consider reading CONTRIBUTING.md.

Build

NdBench comes with a Gradle wrapper

./gradlew build

The gradlew script will pull down all necessary gradle components/infrastructure automatically, then run the build.

NdBench provides several default implementations ( NdBenchConfiguration, LocalClusterDiscovery etc). You can use these or choose to create your own. NdBench currently works on AWS or your local environment. We are open to contributions to support other platforms as well.

How to

The first step before building ndbench is to configure the interfaces related to your environment in the InjectedWebListener. Checkout the Wiki for further explanation on what interfaces to bind based on your environment.

  1. Build ndbench
  2. Set up Auto-Scale Group (ASG) and spin up instances
  3. Deploy ndbench-web.war in your container

Deploy to Cloud Platforms

DISCOVERY_ENV environment variable is responsible to bind the proper Cluster Discovery. Currently AWS, CF and Local are supported. Hence set the environment variable DISCOVERY_ENV based on the environment you are deploying the app. For Amazon Web Services use AWS, for Cloud Foundry use CF, and for local deployments any other name. For Cloud Foundry, build and upload the ndbench war to CF using cf push.

Run

./gradlew appRun

Configuration

You can provide properties by using ndbench{version}.jar in your web container and then implementing IConfiguration Interface. More details on the how the configuration can be found in the Wiki.

Help

Need some help with either getting up and going or some problems with the code?

  • Submit a Github issue
  • Chat with us on Dev chat at https://gitter.im/Netflix/ndbench

License

Licensed under the Apache License, Version 2.0: http://www.apache.org/licenses/LICENSE-2.0

com.netflix.ndbench

Netflix, Inc.

Netflix Open Source Platform

Versions

Version
0.3.13
0.3.12
0.3.11
0.3.10
0.3.9
0.3.8
0.3.7