18 Executing PGQL Queries Against the Graph Server (PGX)

This section describes the Java APIs that are used to execute PGQL queries in the graph server (PGX).

• Getting Started with PGQL
  Get started with PGQL in the graph server (PGX).
• Creating Property Graphs Using Options
  Learn about the different options for graph optimization and for handling edges with missing vertices.
• Supported PGQL Features and Limitations on the Graph Server (PGX)
  Learn about the supported and unsupported PGQL functionalities in the graph server (PGX).
• Java APIs for Executing CREATE PROPERTY GRAPH Statements
  You can use the PgxSession.executePgql(String statement) method to execute a CREATE PROPERTY GRAPH statement.
• Python APIs for Executing CREATE PROPERTY GRAPH Statements
  You can create a property graph by executing the CREATE PROPERTY GRAPH statement through the Python API.
• Executing PGQL Queries Using the PGX JDBC Driver
  Starting from Graph Server and Client Release 24.1.0, you can use the PGX JDBC driver to access a PGX session and query graphs that are loaded in to the graph server (PGX).
• Java APIs for Executing SELECT Queries
  This section describes the APIs to execute SELECT queries in the graph server (PGX).
• Java APIs for Executing UPDATE Queries
  The UPDATE queries make changes to existing graphs using the INSERT, UPDATE, and DELETE operations.
• Python APIs for Executing UPDATE Queries
  You can update a graph that is loaded into the graph server (PGX) using the Python APIs.
• PGQL Queries with Partitioned IDs
  You can retrieve partitioned IDs using the id() function in PGQL.
• Security Tools for Executing PGQL Queries
  To safeguard against query injection, bind variables can be used in place of literals while printIdentifier(String identifier) can be used in place of identifiers like graph names, labels, and property names.
• Best Practices for Tuning PGQL Queries
  This section describes best practices regarding memory allocation, parallelism, and query planning.