1 Introduction
TDB is a RDF storage of Jena.
official guarantees and limitations
- TDB support full range of Jena APIs
- TDB can be used as a high performance RDF store on a single machine
- TDB can be accessed and managed with cmd scripts and Java API
- TDB dataset can be protected against corruption using transaction
- TDB supports Serializable transaction level
- TDB supports ACID transaction trough write-ahead-logging
- A TDB dataset should only directly accessed from a single JVM at a time, otherwise data corruption may occur.From 1.1.0 onwards TDB includes automatic protection against multi-JVM usage which prevents this under most circumstances.
2 TDB Java API
The application obtain a model or RDF dataset from TDB, navigate or use it for other model or dataset.
construct a model or dataset
2 ways to specify data source:
- directory
see Jena TDB API without Assembler
- assembler file
the assembler syntax and sematic see under 5 assembler: a DSL
bulkloader
load data into an empty dataset fastly, using cmd utitilies: tdbloader
concurrency support
USE transaction DEEPLY, it's guaranteed.
cache
TDB support caching in different levels, from RDF terms to disk block.
When not using transaction, should call synchronization explicitly:
Dataset dataset = ... ;
TDB.sync(dataset) ;
3 command line scripts
scripts located in JENA_HOME/bin
datasource specification
// assembler file
--desc=assembler.ttl
--tdb=assembler.ttl
// directory
--loc=DIRECTORY
--location=DIRECTORY
if not specified, --desc=tdb.ttl default is set.
commands
-
tdbloader
Bulk loader and index builder.
-
tdbloader2
Bulk loader and index builder. Faster than tdbloader but only works on Linux and Mac OS/X since it relies on some Unix system utilities.
Restriction: This bulk loader can only be used to create a database. It may overwrite existing data. It only accepts the --loc argument and a list of files to load.
-
tdbquery
Invoke a SPARQL query on a store.
Use --time for timing information. -
tdbdump
Dump the store in N-Quads format.
-
tdbstats
Produce a statistics for the dataset.
//TODO cmd tool usage
4 transaction
detailed limitations
- Bulk loads: the TDB bulk loader is not transactional
- Nested transactions are not supported.
- Some active transaction state is held exclusively in-memory, limiting scalability.
- Long-running read-transactions cause a build-up of pending changes.
API for transaction
read transaction
// use directory to specify datasource
Dataset dataset = TDBFactory.createDataset(directoryPathStr);
dataset.begin(ReadWrite.READ) ;
try {
...
//dataset.abort();// abort transaction
} finally {
dataset.commit();
//dataset.end(); // same as commit()
}
write transaction
dataset.begin(ReadWrite.WRITE) ;
try {
...
dataset.commit();
} finally {
dataset.end();
}
see Jena TDB 101 Java API without Assembler for a running example.
tansaction with concurrency
2 methods:
- shareable Dataset, sequential transaction behaviour
- private Dataset, independent transaction
5 assembler: a DSL
see Jena TDB assembler
6 dataset and named graph
concept
An RDF dataset is composed of 1 unnamed default graph, and 0+ named graphs. Here graph is same as graph is SPARQL vocabulary.
storage
A RDF data set use an individual O.S. directory for storage.
The default graph is held as a single graph, while the named graphs are held in a set of indexes.
query
SPARQL query is fully supported in named graphs of TDB backed datasets.
2 special graph name
- **urn:x-arq:UnionGraph**: union of all named graphs in a dataset
- **urn:x-arq:DefaultGraph**: the unamed default graph in a dataset
7 TDB configuration
TODO
8 TDB optimizer
TODO
references
Apache Jena TDB
Using TDB from Java through the API
Command line utilities
Transactions
Assemblers for Graphs and Datasets
Datasets and Named Graphs
Dynamic Datasets: Query a subset of the named graphs
Quad filtering: Hide information in the dataset
The TDB Optimizer
TDB Configuration
Value Canonicalization
TDB Design
Use on 64 bit or 32 bit Java systems
FAQs