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:
Developer tools - TigerGraph Insights
-
Introduced TigerGraph Insights, an intuitive, no-code tool for building interactive graph analytics dashboards.
Developer tools - Machine Learning Workbench
-
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.
Developer tools - GraphStudio
-
Added support for multiple edge instances between two vertices in GraphStudio.
-
Simplified the data loading workflow for adding data sources to a graph.
-
Added the ability to load data to a graph from Azure Blob Storage.
Developer tools - Graph Data Science Algorithm Library
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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.
Manageability
-
Added the ability to limit the number of concurrent built-in heavy queries as well as concurrent queries.
-
Added the functionality to restrict the amount of memory a query is allowed to use.
Query Language
-
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.
-
Performance
-
Introduced the query optimizer, which performs cost-based optimization on queries based on pre-computed statistics.
Data API Service
-
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.
Security
-
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.
Ecosystem integration
-
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.
Observability
-
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 issues
-
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.