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On the recordRead 8 Oct 202623 facts
Halyard
On the record
- Bulk data tools
- Its command-line and MapReduce tools support bulk loading and exporting RDF data, dataset statistics, SPARQL updates, and deletion of large sets of triples or named graphs.merck.github.io · read 8 Oct 2026
- Bulk loading
- Halyard Bulk Load uses MapReduce to load RDF data from HDFS into HBase, and the documented input formats include Turtle, RDF/XML, N-Triples, TriG, N-Quads, and JSON-LD.merck.github.io · read 8 Oct 2026
- Data deletion behavior
- Deleting a repository configuration does not delete its Halyard dataset, while clearing the repository or deleting statements affects the shared data for all users.merck.github.io · read 8 Oct 2026
- Data management
- Command-line tools support SPARQL Update, parallel bulk updates, export, and bulk deletion of triples or named graphs.merck.github.io · read 8 Oct 2026
- Data storage
- Halyard datasets are stored as HBase tables, and multiple repositories can point to one shared dataset.merck.github.io · read 8 Oct 2026
- Deployment
- The maker documents deployment on Amazon Elastic MapReduce or on an Apache Hadoop cluster node configured with an Apache HBase client.merck.github.io · read 8 Oct 2026
- Endpoint
- Halyard Endpoint is a command-line application for launching a SPARQL endpoint to serve queries.merck.github.io · read 8 Oct 2026
- Experimental feature
- Halyard Summary is described as an experimental MapReduce application that calculates an approximate dataset summary and exports it to a file.merck.github.io · read 8 Oct 2026
- Federation limit
- Federated queries can span Halyard datasets using SPARQL SERVICE, but external SPARQL endpoint service types are not recognized.merck.github.io · read 8 Oct 2026
- Implementation
- Halyard is written in Java and is based on Eclipse RDF4J and Apache HBase.merck.github.io · read 8 Oct 2026
- Not bundled
- Apache Hadoop and Apache HBase components are not bundled with Halyard and must be available in the runtime environment.merck.github.io · read 8 Oct 2026
- Product
- Halyard is a horizontally scalable RDF store with named graph support, designed for very large semantic data models and SPARQL 1.1 queries over Linked Data snapshots.merck.github.io · read 8 Oct 2026
- Purpose
- Halyard is a horizontally scalable RDF store with named graph support for storing and integrating large semantic data models and querying linked data snapshots with SPARQL 1.1.merck.github.io · read 8 Oct 2026
- Querying
- The included RDF4J Console can evaluate SPARQL queries and connect to local or remote repository endpoints.merck.github.io · read 8 Oct 2026
- Query interface
- Halyard supports SPARQL access through RDF4J Console, RDF4J Workbench, and RDF4J Server SPARQL endpoint REST APIs.merck.github.io · read 8 Oct 2026
- RDF formats
- Bulk Load accepts RDF4J RIO-supported formats including N-Triples, RDF/XML, Turtle, TriG, N-Quads, and JSON-LD, with Hadoop-supported compression codecs.merck.github.io · read 8 Oct 2026
- Runtime requirements
- The getting-started page lists Apache Hadoop 2.5.1 or later, Apache HBase 1.1.2 or later, and Java 8 Runtime as requirements.merck.github.io · read 8 Oct 2026
- Search integration
- An optional supplementary Elasticsearch index can index dataset literals to provide more advanced text search features.merck.github.io · read 8 Oct 2026
