Release 1.x.x
Version 1.7.0 - 10/09/24
(See technical release on Github)
- Upgrade to version 2.1 of VTL
Version 1.6.0 - 10/07/24
(See technical release on Github)
- Add provenance module
Version 1.5.0 - 06/28/24
(See technical release on Github)
- Requires Java 8 or above
Version 1.4.1 - 06/25/24
(See technical release on Github)
- Fix VTL SDMX module visibility
Version 1.4.0 - 06/07/24
(See technical release on Github)
- Support temporal operators
- Add VTL CSV module
- Add VTL SDMX module
Version 1.3.0 - 01/17/24
(See technical release on Github)
- Fix Analytics implementations when operators are applied to datasets
Version 1.2.0 - 11/22/23
(See technical release on Github)
- Java 17 support
- Persistent assignments (
<-
)
Version 1.1.1 - 09/09/23
(See technical release on Github)
- Fix
check_hierarchy
issues: serialization and possibility to return empty dataset
Version 1.1.0 - 09/01/23
(See technical release on Github)
- Validation:
define hierarchical ruleset
,check_hierarchy
Version 1.0.2 - 06/30/23
(See technical release on Github)
- Split VTL engine method registrations with 2 methods:
registerMethod
andregisterGlobalMethod
- Fix
in
/not_in
bug with null
Version 1.0.1 - 05/23/23
(See technical release on Github)
- Fix Spark serialization issue in
check_datapoint
implementation
Version 1.0.0 - 05/12/23
(See technical release on Github)
- Membership:
#
- Validation:
check
,check_datapoint
- Dataset operators (
ceil(ds)
,ds1 < ds2
,mod(ds, 5)
, ...)