Index
A
- accessing Graph Studio 25.1
- access Python client in OCI Data Science notebook 13
- administrator dashboard for the graph server 29
- aggregations in GRAPH_TABLE 6.6
- APEX Graph Visualization plug-in 10
- advanced options 10.3.9
- appearance 10.3.2
- base styles 10.3.9.2
- callbacks options 10.3.10
- captions 10.3.5
- evolution 10.3.6
- evolution settings 10.3.9.5
- expand 10.3.8
- general settings 10.3.9.1
- layout 10.3.4
- legend 10.3.3
- Rule-Based Groups 10.3.9.4
- rule-based styles 10.3.9.3
- schema 10.3.7
- schema settings 10.3.9.6
- settings 10.3.1
- Autonomous AI Database graph client 17.2
G
- GRAPH_TABLE operator 6
- graph assistant
- review graph 27.5.2
- Graph Assistant 27.5
- Graph Explorer
- legend panel 26.10
- loading a graph into the graph server(PGX) 26.7.1
- managing graph display size 26.14
- migrate PGQL to SQL property graph 26.6
- tabular visualization 26.8
- unloading a graph from the graph server(PGX) 26.7.1
- user interface 26.1
- using cluster layout 26.16
- using geographical layout 26, 26.17
- using network evolution 26.18
- visualization modes 26.9
- visualization settings 26.15
- visualizing graph queries on SQL property graphs 26.2
- visualizing PGQL property graph queries 26.4
- visualizing PGQL queries on graphs loaded in the graph server(PGX) 26.7
- graph pattern 6.1
- path variables 6.1.2
- graphs
- administrator dashboard for the graph server 29.3
- graph server (PGX) and client
- graph visualization application 28
- graph visualization extension for VS Code 11
- visualization settings 11.1
M
- MATCHNUM in GRAPH_TABLE 6.5.1
- memory consumption by the graph server 31
- memory usage dashboard 29.1
- migrate_pgql_to_sql() 9.3
- migrating PGQL to SQL property graph 9.3
- mixed property types 5.1.4
- Modeler 27
- create a property graph using Auto-map 27.2
- create a property graph using visual editor 27.3
- edit graph 27.5.3
- editing a property graph 27.6
- errors and warnings 27.8
- graph assistant 27.5.1
- Graph Assistant 27.5
- make a copy of property graph 27.4
- managing vertex and edge details 27.7
- user interface 27.1
O
- OPG4J shell 17.1.1
- OPG4Py shell 17.1.2
- OPTIONAL MATCH 23.3.7
- oraclegraph API reference
- Oracle Graph clients
- Java
client 19.3.1.1
- from Oracle Graph Server and Client downloads 19.3.1.1.1
- on Maven Central 19.3.1.1.2
- Python
client 19.3.1.2
- from Oracle Graph server and Client downloads 19.3.1.2.3
- from PyPI 19.3.1.2.1
- in embedded mode 19.3.1.2.4
- upgrade 19.3.1.2.2
- Java
client 19.3.1.1
- Oracle Graph Server (PGX)
P
R
- REST API for Graph Server (PGX) 24
- REST endpoints for the graph server
- v2
- cancel an asynchronous query execution 24.7.4
- check asynchronous query completion 24.7.2
- get an authentication token 24.1
- get graphs for a driver 24.3
- get the database version 24.5
- get user 24.6
- refresh an authentication token 24.2
- retrieve ansynchronous query result 24.7.3
- run a PGQL query 24.4
- run a PGQL query asynchronously 24.7.1
- v2
S
- schema visualization of PGQL property graphs 28.2.4.2
- schema visualization of PGQL property graphs in Graph Explorer 26.5
- schema visualization of SQL property graphs 28.2.4.1
- schema visualization of SQL property graphs in Graph Explorer 26.3
- searching graph 26.11
- sessions 34.4
- setting up TLS (Transport layer Security) 19.4
- using self-signed server keystore 19.4.1
- showing implied edges 26.13
- SQLcl 17.5.1
- SQL Developer
- SQL graph queries 6
- SQL property graphs II
- add a comment to a SQL property graph 5.2
- create a SQL property graph 5.1
- drop a SQL property graph 5.5
- granting privileges 5.1.5
- metadata tables 5.1.6
- quick start 4.1
- rename a SQL property graph 5.4
- revalidate a SQL property graph 5.3
- SQL graph queries 6
- examples 6.11
- using JSON columns 5.6
- visualization using APEX Graph Visualization plug-in 10
- sql property graph visualization in a Jupyter notebook 12.5
- subgraph loading for PGQL property graphs 15.2
- subgraph loading for SQL property graphs 8.2