GDBM_File is a perl module which allows Perl programs to make use of the
facilities provided by the GNU gdbm library. If you intend to use this
module you should really have a copy of the gdbm manualpage at hand.
Most of the libgdbm.a functions are available through the GDBM_File
interface.
This perl module constructs a graph for a database showing tables and
connecting them if they are related. While or after constructing the
object, pass an open database handle, then call `graph_tables' to
determine database metadata and construct a GraphViz graph from the
table and field information.
This module provides the basic constants and other support functions
required to communicate with a Cassandra database using CQL3. It is
not in itself a CQL client; it simply provides the necessary support
functions to allow one to be written.
For a complete client, see instead Net::Async::CassandraCQL.
PEAR::DB_DataObject performs 2 tasks:
1. Builds SQL statements based on the objects vars and the builder methods.
2. acts as a datastore for a table row.
The core class is designed to be extended for each of your tables so that you
put the data logic inside the data classes.
included is a Generator to make your configuration files and your base classes.
pgpool is a connection pool server for PostgreSQL. pgpool runs between
PostgreSQL's clients(front ends) and servers(back ends). A PostgreSQL client can
connect to pgpool as if it were a standard PostgreSQL server.
pgpool caches the connection to PostgreSQL server to reduce the overhead to
establish the connection to it.
This extension provides an API for communicating with Redis database,
a persistent key-value database with built-in net interface written
in ANSI-C for Posix systems.
It is a fork of alfonsojimenez's phpredis, adding many methods and
fixing a lot of issues.
APSW is a Python wrapper for the SQLite embedded relational database
engine. In contrast to other wrappers such as pysqlite it focuses
on being a minimal layer over SQLite attempting just to translate
the complete SQLite API into Python. The documentation has a section
on the differences between APSW and pysqlite. APSW supports CPython
2.3 onwards and CPython 3.1 onwards.
HTSQL ("Hyper Text Structured Query Language") is a high-level query
language for relational databases. The target audience for HTSQL is the
accidental programmer -- one who is not a SQL expert, yet needs a usable,
comprehensive query tool for data access and reporting.
This port provides the MySQL backend to HTSQL
HTSQL ("Hyper Text Structured Query Language") is a high-level query
language for relational databases. The target audience for HTSQL is the
accidental programmer -- one who is not a SQL expert, yet needs a usable,
comprehensive query tool for data access and reporting.
This port provides the PostgreSQL backend to HTSQL
HTSQL ("Hyper Text Structured Query Language") is a high-level query
language for relational databases. The target audience for HTSQL is the
accidental programmer -- one who is not a SQL expert, yet needs a usable,
comprehensive query tool for data access and reporting.