DEX: Seminar Tutorial

DEX:GraphDatabaseManagementSystem
http://www.sparsity-technologies.com
DEX Seminar
Tutorial
27 / October / 2010

DEX API
 Java library: jdex.jar  public API
 Native library
• Linux: libjdex.so
• Windows: jdex.dll
 System requirements:
 Java Runtime Environment, v1.5 or higher.
 Operative system:
• Windows – 32 bits
• Linux – 32 and 64 bits

Basic Concepts
 Persistent and temporary graph management library.
 Data model: Typed and attributed directed multigraph.
 Node and edge instances belong to a type.
 Node and edge instances have attribute values.
 Edge can be directed or undirected.
 Multiple edges between two nodes.
 Use of identifiers.
 Object (node and edge) identifiers: long
 Attribute identifiers: long
 Type identifiers: int

Core API – Class Diagram
DEX GraphPool1 N DbGraph1 1
RGraph
1
N
Graph
Graph factory Persistent DB
Temporary
Objects
1
N

Core API – Main Methods
DEX
open(filename)  GraphPool
create(filename)  GraphPool
close()
GraphPool
getDbGraph()  DbGraph
newGraph()  Rgraph
flush()
close()
Graph
newNodeType(name)  int
newEdgeType(name)  int
newNode(type)  long
newEdge(type)  long
newAttribute(type, name)  long
setAttribute(oid, attr, value)
getAttribute(oid, attr)  value
select(type)  Objects
select(attr, op, value)  Objects
explode(oid, type)  Objects
Objects.Iterator
hasNext()  boolean
next()  long
Objects
add(long)
exists(long)
copy(objs)
union(objs)
Intersection(objs)
difference(objs)

Running Example
DEX dex = new DEX();
GraphPool gpool = dex.create(“C:/image.dex”);
…
…
gpool.close();
dex.close();

Running Example
…
DbGraph dbg = gpool.getDbGraph();
int person = dbg.newNodeType(“PERSON”);
long name = dbg.newAttribute(person, “NAME”, STRING);
long age= dbg.newAttribute(person, “AGE”, INT);
long p1 = dbg.newNode(person);
dbg.setAttribute(p1, name, “JOHN”);
dbg.setAttribute(p1, age, 18);
dbg.setAttribute(p2, name, “KELLY”);
dbg.setAttribute(p3, name, “MARY”);
…
JOHN
18
KELLY
MARY

Running Example
…
int friend = dbg.newUndirectedEdgeType(“FRIEND”);
int since = dbg.newAttribute(friend, “SINCE”, INT);
long e1 = dbg.newEdge(p1, p2, friend);
dbg.setAttribute(e1, since, 2000);
long e2 = dbg.newEdge(p2, p3, friend);
dbg.setAttribute(e2, since, 1995);
…
int loves = dbg.newEdgeType(“LOVES”);
long e3 = dbg.newEdge(p1, p3, loves);
…
JOHN
18
KELLY
MARY
2000
1995

Running Example
…
int phones = dbg.newEdgeType(“PHONES”);
int when = dbg.newAttribute(phones, “WHEN”, TIMESTAMP);
long e4 = dbg.newEdge(p1, p3, phones);
dbg.setAttribute(e4, when, 4pm);
…
JOHN
18
KELLY
MARY
2000
1995
4pm
5pm
6pm

Running Example
…
Objects persons = dbg.select(person);
Objects.Iterator it = persons.iterator();
While (it.hasNext()) {
long p = it.next();
String name = dbg.getAttribute(p, name);
}
it.close();
persons.close();
…
2000
1995
4pm
5pm
6pm
JOHN
18
KELLY
MARY

Running Example
…
Objects objs1 = dbg.select(when, >=, 5pm);
// objs1 = { e5, e6 }
Objects objs2 = dbg.explode(p1, phones, OUT);
// objs2 = { e4, e5 }
Objects objs = objs1.intersection(objs2);
// objs = { e5, e6 } ∩ { e4, e5 } = { e5 }
…
objs.close();
objs1.close();
objs2.close();
…
JOHN
18
KELLY
MARY
2000
1995
4pm
5pm
6pm

Extension Modules
 Extension Java Packages with higher-level features
 Schema
 Exploral
 Input
 Output
 Visualization
 Graph operations

Schema Module
 A high-level logical view of the graph structure
 Encapsulates graph generation and maintenance
 Definition of schemas through script files
dbgraph WIKIPEDIA (
datasource WIKIPEDIA (
dataset TITLES ( ID int, NLC string, TITLE string )
dataset IMAGES ( ID int, NLC string, FILENAME string )
)
edge REFS ( NLC string, TYPE string ) // TITLES --> TITLES
edge IMGS ( ) // TITLES --> IMAGES
)

Exploral Module
 Framework for complex queries
 Extracts data from the DbGraph to return multiple graph results
 Multiple phases and tasks
 Querying: selects objects and explodes relationships
 Preparing: transforms and filters the candidate graphs
 Mining: finds the graphs that match a condition
 Browsing: prepares the result graph for the visualization tool
A
B

Input Module
 Loads data from external data sources
 Automatically converts the input data to a DEX graph
 Supported data formats:
 Plain text files: CSV
 XML files
• Standard Java interface for XML processing
 Relational databases
• JDBC
 RDF graphs

Output Module
 Automatically export DEX graphs to different graph file
formats
 GRAPHML
• Standard XML-based graph representation format
 Graphviz
• Open source graph definition language

 Automatically generate Java Swing visualization components
 Prefuse
• A visualization framework
for the Java
programming language
Visualization Module

Graph Operations Module
 Connected components
 Clustering
 Paths
 Communities
 Importance measures
 Graph statistics
 Graph transformations

Application Architecture
Presentation
Network
Application Logic
Data
Desktop
application
DEX
Data
Sources
Graphs
Java Swing
Application
Browser
HTML + Javascript
DEX
Graphs
Data
Sources
Query
Servlet
INTERNET
Web application
API
DEX
Load
and Query
API
DEX

Pere Baleta Ferrer
CEO
pbaleta@sparsity-technologies.com
Josep Lluís Larriba Pey
Founder
larri@sparsity-technologies.com
SPARSITY-TECHNOLOGIES
Jordi Girona, 1-3, Edifici K2M
08034 Barcelona
info@sparsity-technologies.com
Thanks for
your attention
Any questions?

DEX: Seminar Tutorial

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DEX: Seminar Tutorial