Index

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

A

  • access Python client in OCI Data Science notebook 12
  • administrator dashboard for the graph server 20.1
  • aggregations in GRAPH_TABLE 6.6
  • APEX Graph Visualization plug-in 9
  • architecture models 1.3
  • Autonomous AI Database graph client 16.2

B

  • binding_count in GRAPH_TABLE 6.6

C

  • 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 pattern 6.1
  • graphs
    • administrator dashboard for the graph server 20.1.3
  • graph server (PGX) and client
    • installation 18
    • workflow 18.1
  • graph visualization application VI
    • embedding graph visualization library 26
    • importing and exporting settings 25.8.4
    • legend panel 25.6
    • managing graph display size 25.7
    • running the web application 18.3.2
    • using cluster layout 25.8.1
    • using geographical layout 25.8.2
    • using network evolution 25.8.3
    • using the graph visualization application 25
      • visualizing graph queries on SQL property graphs 25.1
      • visualizing PGQL queries
        • graphs in the graph server(PGX) 25.2
        • PGQL property graphs 25.3
    • visualization modes 25.5
    • visualization settings 25.8
  • graph visualization extension for VS Code 10
    • visualization settings 10.1

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 11.1

J

  • Jupyter Notebook 16.4

L

  • labels and properties for SQL property graphs 5.1.3
  • loading graph into graph server (PGX)
    • PGQL property graphs 14
    • SQL property graphs 7
    • with composite keys 7.8
  • log management in the graph server (PGX) 33

M

  • MATCHNUM in GRAPH_TABLE 6.5.1
  • memory consumption by the graph server 28
  • memory usage dashboard 20.1.1
  • migrate_pgql_to_sql() 8.3
  • migrating PGQL to SQL property graph 8.3
  • mixed property types 5.1.4

O

  • OPG4J shell 16.1.1
  • OPG4Py shell 16.1.2
  • OPTIONAL MATCH 22.3.7
  • oraclegraph API reference
  • Oracle Graph clients
  • Oracle Graph Server (PGX)
    • configuration
      • graph server configuration parameters in server.conf file 19.1.2
      • runtime configuration parameters in pgx.conf file 27.1
    • connecting to the graph server 19.2
    • installation 18.2
      • deploying behind a load balancer 29
      • deploy to Apache Tomcat 18.2.3.1
      • deploy to Oracle WebLogic server 18.2.3.2
      • rpm 18.2.2
    • learn about the graph server 1.4
    • log management 33
    • starting the graph server 19.1
    • using the graph server V
    • working with files 32

P

  • PATH_NAME in GRAPH_TABLE 6.5.2
  • path variables 6.1.2
  • PGQL (Property Graph Query Language) 17
  • PGQL property graphs III
  • PgxML for Graphs 21
    • DeepWalk Algorithm 21.1
    • Pg2vec Algorithm 21.7
    • Supervised GraphWise Algorithm 21.2
    • Unsupervised GraphWise Algorithm 21.4, 21.6
  • property graph
    • architecture 1.3
    • introduction 1
  • Property Graph Query Language (PGQL) 17

Q

  • quickstart container image
    • Podman 2

R

  • REST API for Graph Server (PGX) 23
  • REST endpoints for the graph server
    • v2
      • cancel an asynchronous query execution 23.7.4
      • check asynchronous query completion 23.7.2
      • get an authentication token 23.1
      • get graphs for a driver 23.3
      • get the database version 23.5
      • get user 23.6
      • refresh an authentication token 23.2
      • retrieve ansynchronous query result 23.7.3
      • run a PGQL query 23.4
      • run a PGQL query asynchronously 23.7.1

S

  • schema visualization of PGQL property graphs 25.4.2
  • schema visualization of SQL property graphs 25.4.1
  • sessions 31.4
  • setting up TLS (Transport layer Security) 18.4
    • using self-signed server keystore 18.4.1
  • SQLcl 16.5.1
  • SQL Developer
    • querying PGQL property graphs 16.5.2
    • 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 9
  • sql property graph visualization in a Jupyter notebook 11.5
  • subgraph loading for PGQL property graphs 14.2
  • subgraph loading for SQL property graphs 7.2

T

  • trusted mode 5.1.4
  • tuning SQL property graphs 6.13

V

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