1.4.3.157
2020-08-28
AWS Marketplace compatibility
The Lens can now accept new Custom Functions via an endpoint
1.3.2.142
2020-05-15
SQLLENS-55: Update to the latest custom RML Mapper
SQLLENS-69: Fix Docker image security vulnerabilities as seen in ECR
1.2.4.105
2020/03/17
SQLLENS-47: It is now possible to choose which provenance activities are generated for your transformed data.
SQLLENS-51: Dead Letter Queue messages are now much richer, and include additional information in JSON format, to more easily facilitate consumption by an external process.
SQLLENS-52: Update to our latest custom RMLMapper which prevents erroneous IRI encoding.
1.1.1.87
2020/03/03
SQLLENS-26: For situations where a message bus is not expected to be used, it is now possible to run the SQL Lens in a kafka-less mode.
SQLLENS-46: Added support for the following new mapping functions:
retrieveValueFromDelimitedListTests
extractCharactersFromStartTest
extractCharactersFromEndTest
1.0.0.63
2020/02/03
This is the first official release of the SQL Lens.
It is a highly configurable pipeline component, which will transform data stored in an SQL Database into a Knowledge Graph compatible output.
Highly configurable transformation from data held in an SQL Database, to RDF.
Supplied as a Docker Container, available from DockerHub.
Supports the following SQL Databases:
MySQL
Microsoft SQL Server
Oracle
Postgre SQL
IBM DB2
MariaDB
SAP Hana
IBM Informix
Firebird
Hyper SQL
H2
Supports the following output file formats:
NQuads
Capable of iteratively transforming data from any size of SQL Database result-set..
May be triggered via a schedule, or explicitly via a RESTful endpoint.
Output files may be written to any on-premise, or cloud location.
Provenance as standard.