Free jdbc driver for sqlite 006 software for linux

JDBC SQL Profiler is a quickly hacked tool to do statistics on SELECT queries in order to know where it is most efficient to create indexes.

This small tool, released under an Apache-based license connects to the P6Spy JDBC logger and displays in real time the queries going to the database. It uses an integrated SQL parser to build statistics on the most accessed tables and columns and can generate SQL index creation files.

Other information is also gathered and displayed, such as the request time for a single request, for a class of request, and for all the requests. Sorting may be done on these views to detect database problems efficiently.

This tool can be very useful when you have a big volume of queries that you need to analyze not one by one (meaning that the specific time isnt that much of interest), but rather when you want to know what "group" of queries is taking a lot of time, such as queries on the same tables and columns but with different query values. The integrated SQL parser (built with ANTLR) is used to analyze the incoming SELECT queries.

The Swing GUI was based on Apaches Log4J Chainsaw, but all the bugs are mine. Also contributors are welcome to test, make new suggestions, give their opinion and submit patches.

DBConsole is a GPLd database shell written in Python. The project currently supports SQLite, PostgreSQL and MySQL.

DBConsole is dedicated to the nice people behind Python DBAPI-2.

DBD::SQLite is a Self Contained RDBMS in a DBI Driver.
SYNOPSIS
use DBI;
my $dbh = DBI->connect("dbi:SQLite:dbname=dbfile","","");
SQLite is a public domain RDBMS database engine that you can find at http://www.hwaci.com/sw/sqlite/.
Rather than ask you to install SQLite first, because SQLite is public domain, DBD::SQLite includes the entire thing in the distribution. So in order to get a fast transaction capable RDBMS working for your perl project you simply have to install this module, and nothing else.
SQLite supports the following features:
- Implements a large subset of SQL92
See http://www.hwaci.com/sw/sqlite/lang.html for details.
- A complete DB in a single disk file
Everything for your database is stored in a single disk file, making it easier to move things around than with DBD::CSV.
- Atomic commit and rollback
Yes, DBD::SQLite is small and light, but it supports full transactions!
- Extensible
User-defined aggregate or regular functions can be registered with the SQL parser.
Theres lots more to it, so please refer to the docs on the SQLite web page, listed above, for SQL details. Also refer to DBI for details on how to use DBI itself.

libdbi implements a database-independent abstraction layer in C, similar to the DBI/DBD layer in Perl.
Writing one generic set of code, programmers can leverage the power of multiple databases and multiple simultaneous database connections by using this framework.
The libdbi-drivers project provides the database-specific drivers for the libdbi framework. The drivers officially supported by libdbi are:
- Firebird/Interbase
- FreeTDS (provides access to MS SQL Server and Sybase)
- MySQL
- PostgreSQL
- SQLite/SQLite3
The following drivers are in various stages of completion and are supposed to be included into the next release:
- mSQL
- Oracle
Enhancements:
- This release fixes a packaging error in 0.8.2. There are no source code changes.

Audio::DB::Adaptor::dbi::sqlite is a database adaptor for a specific mysql schema.

This adaptor implements a specific mysql database schema that is compatible with Audio::DB. It inherits from Audio::DB. In addition to implementing the abstract SQL-generating methods of Audio::DB::Adaptor::dbi, this module also implements the data loading functionality of Audio::DB.

The schema uses several tables:

artists This the artists data table. Its columns are:

artist_id artist ID (integer); primary key artist artist name (string); may be null; indexed

albums This is the albums table. Its columns are:

album_id album ID (integer); primary key
album album name (string); may be null; indexed
album_type one of compilation or standard; may be null
total_tracks total songs on album (integer)
year self explanatory, no? (integer)
songs This is the primary songs table. Its columns are:
song_id song ID (integer); primary key
title song title (string)
artist_id artist ID (integer); indexed
album_id album ID (integer)
genre_id genre ID (integer) # may be superceded...see note
track track number (integer)
duration formatted song length (string)
seconds length in seconds (integer)
lyrics song lyrics (long text)
comment ID3 tag comment (text)
bitrate encoded bitrate (integer)
samplerate sample rate (real)
format format of the file (ie MPEG) (string)
channels channels (string)
tag_types type of ID3 tags present (ie ID3v2.3.0) (text)
filename file name (text)
filesize file size in bytes (real)
filepath absolute path (text)
year the year tag for single tracks
(since singles or songs on compilations
each may be different) (integer)
uber_playcount total times the song has been played
uber_rating overall song rating (see "users" below)

Currently, ID3 tags support but a single genre. The genre_id is now stored with the song table. Multiple genres may be assigned via the song_genres join table below. The year is a database denormalization that allows the assignment of years to single tracks not belonging to an album.