Index

A  B  C  D  E  F  G  I  J  L  M  O  P  Q  R  S  T  U  V  

A

B

  • binding_count in GRAPH_TABLE 6.6

C

  • conditional search 26.10
  • create a SQL property graph

D

  • DBMS_METADATA package 5.1.7

E

  • edge graph element tables 5.1.1
  • edge table keys for SQL property graphs 5.1.2
  • ELEMENT_NUMBER in GRAPH_TABLE 6.5.3
  • enforced mode 5.1.4

F

  • functions

G

  • GRAPH_TABLE operator 6
  • Graph Explorer
    • legend panel 26.9
    • managing graph display size 26.12
    • tabular visualization 26.7
    • user interface 26.1
    • using cluster layout 26.14
    • using geographical layout 26, 26.15
    • using network evolution 26.16
    • visualization modes 26.8
    • visualization settings 26.13
    • 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) 26.6
  • graph pattern 6.1
  • graphs
    • administrator dashboard for the graph server 28.3
  • graph server (PGX) and client
    • installation 19
    • workflow 19.1
  • graph visualization application 27
    • embedding graph visualization library 26.17
    • importing and exporting settings 27.2.5.2
    • running the web application 19.3.2
    • using cluster layout 27.2.5.1
    • using the graph visualization application 27.2
      • visualizing graph queries on SQL property graphs 27.2.1
      • visualizing PGQL queries
        • graphs in the graph server(PGX) 27.2.2
        • PGQL property graphs 27.2.3
    • visualization settings 27.2.5
  • graph visualization extension for VS Code 11
    • visualization settings 11.1

I

  • import graph data from Neo4j 4.2
    • gather metadata 4.2.4
    • into Autonomous AI Database 4.2.3
  • installing graph visualization extension for Jupyter 12.1

J

  • Jupyter Notebook 17.4

L

  • labels and properties for SQL property graphs 5.1.3
  • loading graph into graph server (PGX)
    • PGQL property graphs 15
    • SQL property graphs 8
    • with composite keys 8.8
  • log management in the graph server (PGX) 35

M

  • MATCHNUM in GRAPH_TABLE 6.5.1
  • memory consumption by the graph server 30
  • memory usage dashboard 28.1
  • migrate_pgql_to_sql() 9.3
  • migrating PGQL to SQL property graph 9.3
  • mixed property types 5.1.4

O

  • OPG4J shell 17.1.1
  • OPG4Py shell 17.1.2
  • OPTIONAL MATCH 23.3.7
  • oraclegraph API reference
  • Oracle Graph clients
  • Oracle Graph Server (PGX)
    • configuration
      • graph server configuration parameters in server.conf file 20.1.2
      • runtime configuration parameters in pgx.conf file 29.1
    • connecting to the graph server 20.2
    • installation 19.2
      • deploying behind a load balancer 31
      • deploy to Apache Tomcat 19.2.3.1
      • deploy to Oracle WebLogic server 19.2.3.2
      • rpm 19.2.2
    • learn about the graph server 1.4
    • log management 35
    • starting the graph server 20.1
    • using the graph server V
    • working with files 34

P

  • PATH_NAME in GRAPH_TABLE 6.5.2
  • path variables 6.1.2
  • PGQL (Property Graph Query Language) 18
  • PGQL property graphs III
  • PgxML for Graphs 22
    • DeepWalk Algorithm 22.1
    • Pg2vec Algorithm 22.7
    • Supervised GraphWise Algorithm 22.2
    • Unsupervised GraphWise Algorithm 22.4, 22.6
  • property graph
    • introduction 1
  • Property Graph Query Language (PGQL) 18

Q

  • quickstart container image
    • Podman 2

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

S

  • schema visualization of PGQL property graphs 27.2.4.2
  • schema visualization of PGQL property graphs in Graph Explorer 26.5
  • schema visualization of SQL property graphs 27.2.4.1
  • schema visualization of SQL property graphs in Graph Explorer 26.3
  • searching graph 26.10
  • sessions 33.4
  • setting up TLS (Transport layer Security) 19.4
    • using self-signed server keystore 19.4.1
  • showing implied edges 26.11
  • SQLcl 17.5.1
  • SQL Developer
    • querying PGQL property graphs 17.5.2
    • querying SQL property graphs 6.15
  • SQL graph queries 6
    • aggregate functions 6.6
    • at specific SCN 6.9
    • complex path patterns 6.3
    • ELEMENT_NUMBER 6.5.3
    • graph pattern 6.1
    • MATCHNUM 6.5.1
    • ONE ROW PER clause 6.5
    • PATH_NAME 6.5.2
    • variable length path pattern 6.2
  • 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
    • 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

T

  • trusted mode 5.1.4
  • tuning SQL property graphs 6.13

U

  • user-managed Graph Studio VI
    • user interface 25.2

V

  • vertex graph element tables 5.1.1
  • vertex table keys for SQL property graphs 5.1.2