Redland RDF Library Manual |
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This module is always present (cannot be removed) and provides indexed storage using Redland Triple stores(3) to store various combinations of subject, predicate and object for faster access. Context nodes are also stored in a hash when used. The hashes may be in-memory (always available) or persistent via Sleepycat/Berkeley DB (BDB) versions 2-4. It is the most mature and primary persistent store and suitable for large models, tested in the 2-3 million range..
The main option requiring setting is the
hash-type
which must be one of the supported
Redland hashes. Hash type memory
is always
available and if BDB has been compiled in, bdb
is
also available. Option dir
can be used to set the
destination directory for the BDB files when used. Boolean option
new
can be set to force creation or truncation
of a persistent hashed store. The storage
name must be given for hash type bdb
since
it is used for a filename.
The module provides optional contexts support enabled when
boolean storage option contexts
is set. This
can be used with any hash type.
Examples:
/* A new BDB hashed persistent store in the current directory */ storage=librdf_new_storage(world, "hashes", "db1", "new='yes',hash-type='bdb',dir='.'"); /* Hashed in-memory store */ storage=librdf_new_storage(world, "hashes", NULL, "hash-type='memory'"); /* An existing BDB hashed persistent store in dir /somewhere */ storage=librdf_new_storage(world, "hashes", "dv2", "hash-type='bdb',dir='/somewhere'"); /* An existing BDB hashed store with contexts */ storage=librdf_new_storage(world, "hashes", "db3", "hash-type='bdb',contexts='yes'");
In Python:
from RDF import * ... # Create a new BDB store storage = HashStorage("db4", options="new='yes',hash-type='bdb'")
In Perl:
use RDF::Redland; ... # Open an existing BDB store $storage=new RDF::Redland::Storage("hashes", "db5", "hash-type='bdb',dir='.'");
Summary:
Persistent or in-memory
Suitable for larger models
Indexed
Large disk usage with BDB
Optional contexts (with option contexts
set)
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