Release v2.0.1

pyTigerGraph 2.0.1 Release Notes

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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.

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Bug Fixes

• Edge attribute data is now serialized correctly for all attribute types
• vertexMustExist on edge upserts now works correctly in all cases

Release v2.0.0

Release of pyTigerGraph version 2.0.0.

Changes:

• Provide MCP tools

v1.9.1

Release of pyTigerGraph version 1.9.0.

Changes:

• API Enhacements

v1.9.0

[1.9.0] - 2025-6-30

Release of pyTigerGraph version 1.9.0.

Changes:

• Multiple enhancements

v1.8.4

[1.8.4] - 2025-1-20

Release of pyTigerGraph version 1.8.4.

Fixed:

• Fix URL construction when gsPort and restppPort are the same.

v1.8.3

[1.8.3] - 2024-12-04

Release of pyTigerGraph version 1.8.3.

Fixed:

• Fix httpx timeout during async function calls. Noticed when installing a query with the .gsql() function.

v1.8.1

[1.8.1] - 2024-11-19

Release of pyTigerGraph version 1.8.1.

Fixed:

• Fix import error of TigerGraphException in the GDS submodule.

v1.8.0

[1.8] - 2024-11-04

Release of pyTigerGraph version 1.8.

Added:

• Support for async communication with the TigerGraph Database, using the AsyncTigerGraphConnection class.
• Added delVerticesByType() functionality
• Added a limit parameter to getEdgesByType() to limit the number of edges returned. Note: the limit is applied after retrieving the edges from the database.
• Added configuration parameters surrounding the atomicity of upsert operations.
• Added runLoadingJobWithDataFrame() functionality to run a GSQL loading job with a Pandas DataFrame. Also added runLoadingJobWithData() to run a GSQL loading job with a given data string.

v1.7.4

[1.7.4] - 2024-10-16

Release of pyTigerGraph version 1.7.4.

Fixed:

• Fixed error when generating a token via getToken() with a secret key.

v1.7.3

[1.7.3] - 2024-10-14

Release of pyTigerGraph version 1.7.3.

Fixed:

• Fixed error when generating a token via getToken() on TigerGraph Cloud v3.x instances.