pyTigerGraph 2.0.1 Release Notes
What's New
Better throughput for concurrent workloads
Parallel query execution is faster and more efficient in both sync and async modes — no code changes required.
TigerGraph 3.x and 4.x work with the same code
No version-specific branching needed — the client adapts to your server version automatically.
Easier query parameter handling
Passing vertex and MAP parameters to runInstalledQuery() is now simpler and consistent — use the same format, e.g. (id,) for VERTEX<T>, regardless of how the query runs. The client handles conversion automatically.
Data-source management
Create, update, query, and delete data sources directly from the client without dropping into GSQL.
Schema change API
Apply DDL changes to your graph schema through a single API call.
Vector index status API
Check whether a vector index is ready without writing raw GSQL.
Bug Fixes
- Edge attribute data is now serialized correctly for all attribute types
vertexMustExiston edge upserts now works correctly in all cases
Known Issues
- Valid JWT Token is reported as expired.
- You can bypass the issue entirely by authenticating with
apiToken=instead ofjwtToken=.
- You can bypass the issue entirely by authenticating with