Release Notes

TigerGraph Server 3.8.0 was released on Nov 15th, 2022.

New Features

The following is a list of new features and improvements:

Introduced TigerGraph Insights, an intuitive, no-code tool for building interactive graph analytics dashboards.

Introduced a new TigerGraph Cloud integration with Machine Learning Workbench.
Launched a new dedicated Machine Learning Workbench starter kit with ready-to-use tutorial Jupyter notebooks.

Added Packaged Template Queries as a more streamlined way for developers to install and manage the GDS algorithm library.
Added the CALL command to run queries with just-in-time compilation, yielding higher performance.
Updated parameter names to be more consistent across algorithms.
Introduced versioning of the algorithm library to follow the database version.

Added support for multiple edge instances of the same type between two vertices.
Added the DISCRIMINATOR keyword to enable defining edge types that allow multiple edge instances between two vertices.
GSQL no longer recognizes empty input for a query parameter of type SET to be an empty set; users must explicitly specify an empty set instead.
- In GSQL, use square brackets [] to specify an empty set.
- In an HTTP request, use square brackets [] in the request body of a POST request to specify an empty set. You can no longer specify an empty set using query strings in a GET request.

Introduced the query optimizer, which performs cost-based optimization on queries based on pre-computed statistics.

Added support for endpoints that insert, retrieve, and delete edge instances to handle situations where there are multiple instances of an edge type between two vertices.
Added the GET /showprocesslistall endpoint, which lists all currently running queries on a node.

Strengthened the security for the management of user-defined functions (UDF).
Sensitive information such as ACL passwords is now masked when entering passwords interactively.
All personally identifiable information in data source configuration when using the Kafka loader or Data Streaming Connector is now masked.
Added login protection and the ability for administrators to enable a password policy.

Added the ability to query and stream data from Google Big Query to Data Streaming Connector.
Added the ability to configure how much memory Data Streaming Connectors are allowed to use through the KafkaConnect.MaxMemorySizeMB parameter.
Added the ability to shrink or expand a cluster using the kubectl tg update command in Kubernetes.

Added the /metrics endpoint to report system metrics in OpenMetrics format.
Added the ability to monitor queries through AdminPortal and view query performance over time.
Added the capability for the Graph Processing Engine (GPE) to log the highest memory usage of a query during its execution.
Improved messaging for errors caused by wrong configurations for a Kafka loading job.

Fixed an issue that could cause cluster shrinking failure due to communication issues with the ETCD service.
Resolved several dependency vulnerabilities.
Fixed an issue that could cause the system to become unresponsive due to the executor service dysfunction.
Fixed an issue where exporting data with \n in its value might cause later imports to fail.
Fixed an issue that caused imports to fail if any data source in the graph has the backslash escape character in its configuration.
Fixed an issue where a query that declares and initializes a datetime variable with an expression that uses a input parameter would cause a syntax error.
Fixed an issue where exceedingly long queries (over 1000 lines) take a long time to be created and installed.
Fixed an issue that caused GBAR backup to be unable to reach AWS S3 on a private network.
Fixed an issue where users cannot access the GraphQL service with database username/password credentials.
Fixed an issue that caused upgrades from versions earlier than 3.7 to fail.
Fixed an issue that could cause GPE dysfunction when calling a REST endpoint.
Fixed an issue that in rare cases produced inaccurate results when a query uses an ACCUM clause.
Fixed an issue where S3 loading jobs cannot be terminated if it is not run in EOF mode.
Fixed an issue that led to inconsistent edge counts being reported across different replicas.
Fixed an issue where enabling verbose logging could cause GPE dysfunction.

If System.Backup.Local.Enable is set to true, this also enables a daily full backup at 12:00am UTC