What is a Lutece ElasticData module?

It is a specialized plugin for the Lutece CMS that maps application data to Elasticsearch indices using a standardized framework for synchronization.

Does this skill require the official Elasticsearch Java client?

No, it utilizes the Lutece library-elastic, a lightweight HTTP/JSON wrapper around the Elasticsearch REST API, ensuring minimal dependency bloat.

What is the difference between Full and Incremental indexing?

Full indexing performs a daily bulk re-index of all data, while Incremental indexing uses CDI events and an IndexerAction queue to process changes every 3 seconds.

How are Elasticsearch mappings configured?

Mappings can be injected via properties files using MicroProfile Config or defined programmatically within the DataSource implementation.

How does CDI auto-discovery work in this skill?

Any class annotated with @ApplicationScoped that implements the DataSource interface is automatically detected and registered by the plugin-elasticdata framework at runtime.

Lutece ElasticData Integration

Name: Lutece ElasticData Integration
Author: vanhemsj

byvanhemsj

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Content Management

Streamlines the implementation of Elasticsearch DataSource modules for Lutece 8 CMS using CDI and batch processing patterns.

This skill provides the architectural blueprints and implementation patterns required to build robust Elasticsearch indexing modules within the Lutece 8 framework. It automates the setup of DataSources and DataObjects, facilitates CDI-based auto-discovery, and implements a sophisticated two-daemon indexing strategy for both bulk reindexing and real-time incremental updates. It is essential for developers looking to synchronize Lutece entity data with Elasticsearch for high-performance search, spatial data handling, and complex data analytics.

Key Features

01MicroProfile Config integration for flexible environment-specific settings

02CDI-driven auto-discovery for seamless DataSource registration

03Standardized DataObject patterns with Jackson serialization for ES documents

04Dual-daemon system for full daily reindexing and 3-second incremental updates

05Built-in batch processing and conflict resolution for high-volume data sync

061 GitHub stars

Use Cases

01Developing spatial search features using built-in geo_point mapping support

02Implementing complex data analytics dashboards using Lutece-driven ES data sources

03Synchronizing Lutece business entities with Elasticsearch for real-time search indexing

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add vanhemsj/lutecepowers lutece-elasticdata

For use in Claude.ai and ChatGPT

Key Features

01MicroProfile Config integration for flexible environment-specific settings

02CDI-driven auto-discovery for seamless DataSource registration

03Standardized DataObject patterns with Jackson serialization for ES documents

04Dual-daemon system for full daily reindexing and 3-second incremental updates

05Built-in batch processing and conflict resolution for high-volume data sync

061 GitHub stars

Use Cases

01Developing spatial search features using built-in geo_point mapping support

02Implementing complex data analytics dashboards using Lutece-driven ES data sources

03Synchronizing Lutece business entities with Elasticsearch for real-time search indexing

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add vanhemsj/lutecepowers lutece-elasticdata

For use in Claude.ai and ChatGPT