1.4.3.201
2020-05-15
AWS Marketplace compatibility
The Lens can now accept new Custom Functions via an endpoint
1.3.3.153
2020-05-15
SFLENS-126: Fix Docker image security vulnerabilities as seen in ECR
SFLENS-118: Fixed persistent Kafka logging
1.2.2.137
2020-03-17
SFLENS-104: Enhancements have been made to CSV transformation in order to more elegantly handle CSV files containing errors.
SFLENS-107: It is now possible to choose which provenance activities are generated for your transformed data.
SFLENS-112: Dead Letter Queue messages are now much richer, and include additional information in JSON format, to more easily facilitate consumption by an external process.
SFLENS-113: Update the POM to use our latest custom RMLMapper which prevents erroneous IRI encoding
1.1.0.102
2020/03/03
SFLENS-102: Added support for the following new mapping functions:
retrieveValueFromDelimitedListTests
extractCharactersFromStartTest
extractCharactersFromEndTest
SFLENS-106: Fixed a problem which could cause large CSV files to be iterated over incorrectly.
1.0.0.93
2020/02/03
This is the first official release of the Structured File Lens.
It is a highly configurable pipeline component, which will transform structured content into a Knowledge Graph compatible output.
Highly configurable transformation from structured content, to RDF.
Supplied as a Docker Container, available from DockerHub.
Supports the following input file formats:
XML
JSON
CSV
Supports the following output file formats:
NQuads
JSON-LD
Capable of iteratively transforming input files of any file size.
May be triggered via Message bus, or directly via RESTful endpoint.
Input / Output files may be accessed from on-premise, or cloud locations.
Provenance as standard.