Smart Mastering Core

Integration into MarkLogic Data Hub 5

1.3.1 is our final feature release of Smart Mastering in the Smart Mastering Core repository. As of Data Hub 5.0.0, Smart Mastering is fully integrated into MarkLogic Data Hub as a built-in capability, and the recommended way to use the Smart Mastering capability is by configuring a mastering step in Data Hub. Existing users should migrate their Smart Mastering configuration to MarkLogic Data Hub (see Import Your Smart Mastering Core Projects for instructions). The integration of Smart Mastering into Data Hub offers a variety of benefits, including:

Built-in support for orchestrating matching and merging across documents.
QuickStart UI for configuration of matching and merging

MarkLogic will continue to invest in Smart Mastering as a built-in capability of Data Hub.

Smart Mastering Core details

This repo contains the libraries and services for a Smart Mastering capability built on top of MarkLogic. Smart Mastering consists of matching entities in an operational data hub, then auto-merging for high-scoring matches and recording a notification for a human reviewer for cases where the score indicates a possible, but not definite match. Match scoring rules and merging algorithms, thresholds and actions are configuration driven. APIs are available either through a set of XQuery libraries or a REST service layer.

This capability is experimental. Be prepared for the interface and implementation to change significantly. We welcome your input to guide this development process.

Requirements
Using
Development

Requirements

MarkLogic 9.0-5 or higher
Java 8 or higher
Gradle is optional - this project has the Gradle wrapper included, and the instructions below reference it so that you don't need to install Gradle
Schemas Database attached to your content DB. This is required for PROV-O to work.

Using

Documentation on how Smart Mastering Core works and how to use it is available at GitHub.

To use the Smart Mastering Core in your own project, follow these instructions. This assumes that you're using ml-gradle in your project.

Note: be advised that this project is in its very early stages. The APIs presented here may change significantly before stabilizing.

Examples

To view smart-mastering-core in use, see the Smart Mastering project examples.

Need help?

If you've found a bug or would like to ask for a new capability, please file an issue here on GitHub. If you are having trouble using smart-mastering-core, you can file a question issue here on GitHub or ask a question on Stack Overflow with the "marklogic" tag. If you'd like to discuss this project with Product Management, contact community-requests@marklogic.com.

Project Status

Smart Mastering Core is a community-supported project. Help is available by filing issues here on GitHub and by asking questions on Stack Overflow; however, we can’t promise a specific resolution or timeframe for any request.

Adding Smart Mastering to your project

Assuming you're using ml-gradle, you can easily integrate Smart Mastering into your application.

As this project hasn't been published to the jcenter repository yet, you'll first need to publish a copy of this project to your local Maven repository, which defaults to ~/.m2/repository.

To do so, clone this repository and run the following command in the project's root directory:

./gradlew publishToMavenLocal

You can verify that the artifacts were published successfully by looking in the ~/.m2/repository/com/marklogic/community/smart-mastering-core directory.

Now that you've published Smart Mastering locally, you can add it to your own application. The minimal example project provides a simple example of doing this. You just need to add the following to your build.gradle (again, this depends on using ml-gradle).

First, in the repositories block, make sure you have your local Maven repository listed:

repositories {
  mavenLocal()
}

And then just add the following to your dependencies block:

dependencies {
  mlRestApi "com.marklogic.community:smart-mastering-core:0.1.DEV"
}

This assumes that the version of the artifacts you published above is 0.1.DEV. You can find the version number by looking at the version property in gradle.properties in your cloned copy of smart-mastering-core.

And that's it! Now, when you run mlDeploy, the modules in Smart Mastering will be automatically loaded into your modules database. To verify that the modules exist, you can either browse your modules database via qConsole, or you can go to your application's REST server and see that the Smart Mastering services have been installed:

http://localhost:(your REST port)/v1/config/resources

You can then run ml-gradle tasks such as mlLoadModules and mlReloadModules, and the Smart Mastering modules will again be loaded into your modules database.

Development

Deploy

If necessary, create a gradle-local.properties file and override properties in gradle.properties as needed.

Run ./gradlew mlDeploy

Testing

UI-based

After running ./gradlew mlDeploy, point a browser to http://localhost:8042/test. Click the Run Tests button.

Command-line

./gradlew mlUnitTest

Release

Publishing

update gradle.properties with the new version number
update the gradle.properties for the examples with the new version number
update the UPGRADE.md file's version reference to the new version number. Add other upgrade notes as needed.
generate the CHANGELOG: github_changelog_generator --token $my-github-token --future-release v1.0.0
- if you don't have a "/tmp/" directory (Windows), add --cache-file ~\tmp\github-changelog-http-cache --cache-log ~\tmp\github-changelog-logger.log
commit the CHANGELOG
add these properties to your gradle-local.properties
- bintray_user
- bintray_key
change the version property in gradle.properties to the new version number
./gradlew bintrayUpload
log in to bintray and push the publish button
smoke test the examples to make sure they work with the latest published version
merge the develop branch into master
merge the docs-next branch into docs
tag the release vx.xx
push the tags
add the changelog to the release page on github

You must be part of the marklogic-community organization on bintray in order to publish.

How do I uninstall?

./gradlew mlUndeploy -Pconfirm=true

License

marklogic-community/smart-mastering-core

ErrorLooks like something went wrong!

About

Topics

Resources

License

Uh oh!

Stars

Watchers

Forks

Releases 8

Packages 0

Contributors 7

Uh oh!

Languages

Error
Looks like something went wrong!

Packages