Free statements hair salon software for linux

Regular Statement String (RSS) provides several libraries in C, Java, and COM to implement and demonstrate the key-value development method using well-designed "strings" (RSS) as the media. Regular Statement String also shows a way to write "Process Oriented" applications.
Enhancements:
- This release adds an implementation for SUN Solaris (SPARC).

SQL::Statement::Embed can embed a SQL engine in a DBD or module.

SQL::Statement is designed to be easy to embed in other modules and to be especially easy to embed in DBI drivers. It provides a SQL Engine and the other module needs to then provide a data source and a storage mechanism. For example, the DBD::CSV module uses SQL::Statement as an embedded SQL engine by implementing a file-based data source and by using DBI as the user interface. Similarly DBD::Amazon uses SQL::Statement as its SQL engine, provides its own extensions to the supported SQL syntax, and uses on-the-fly searches of Amazon.com as its data source.

SQL::Statement is the basis for eight existing DBDs (DBI database drivers). If you have a new data source, you too can create a DBD without having to reinvent the SQL wheel. Its fun, its easy, become a DBD author today!

SQL::Statement can be also be embedded without DBI. Well explore that first since developing a DBD uses most of the same methods and techniques.

The role of SQL::Statement subclasses

SQL::Statement provides a SQL parsing and execution engine. It does not provide a data source or storage mechanism other than in-memory tables. The DBD::File module is a subclass of SQL::Statement that provides access to file-based storage mechanisms. Its quite possible to use things other than files as data souces, in which case we wouldnt use DBD::File, instead wed replace DBD::Files methods with our own. In the examples below, well use DBD::File, replacing only a few methods.

SQL::Statement provides SQL parsing and evaluation and DBD::File provides file-based storage. The only thing missing is a data source - what we actually want to store and query. As an example suppose we are going to create a subclass called Foo that will provide as a data source a simple file similar to a passwd file - one record per line, fields separated by colons, with only three fields "username, uid, gid".

Consider what needs to happen to perform a SELECT query on our Foo data:

* recieve a SQL string
* parse the SQL string into a request structure
* open the table(s) specified in the request
* define column names and postions for the table
* read rows from the table
* convert the rows from colon-separated format into perl arrays
* match the columns and rows against the requested selection criteria
* return requested rows and columns to the user

To perform operations like INSERT and DELETE, we also need to:

* convert rows from perl arrays into colon-separated format
* write rows
* delete rows

SQL::Statement takes care of all of the SQL parsing and evaluation. DBD::File takes care of file opening, reading, writing, and deleting. So the only things Foo is really responsible for are:

* define column names and postions for the table
* convert rows from colon-separated format into perl arrays
* convert rows from perl arrays into colon-separated format

In SQL::Statement subclasses these responsibilities are assigned to two objects, a ::Statement object is responsible for opening the table, defining the column names and positions, and for creating new ::Table objects. A ::Table object is responsible for reading, converting, writing, and deleting data.

SPindent (Server Page Indenter) is a JSP/PHP structural validator and indenter. It performs structural compatibility check of inner HTML generated from "parallel" branches of process flow statements such as if/else.

It allows for those HTML branches to have different entry and exit HTML stack points, as far as the branches are compatible.

This allows for verification and proper indentation of handy workarounds, as well as rusty pyramids. It is based on MixedCC (Mixed Compiler Compiler).

Jifty::DBI::SchemaGenerator is a Perl module to generate table schemas from Jifty::DBI records.

This module turns a Jifty::Record object into an SQL schema for your chosen database. At the moment, your choices are MySQL, SQLite, or PostgreSQL. Oracle might also work right, though its untested.

SYNOPSIS

The Short Answer

See below for where we get the $handle and $model variables.

use Jifty::DBI::SchemaGenerator;
...
my $s_gen = Jifty::DBI::SchemaGenerator->new( $handle );
$s_gen->add_model($model);

my @statements = $s_gen->create_table_sql_statements;
print join("n", @statements, );
...
The Long Version
See Jifty::DBI for details about the first two parts.
MyModel
package MyModel;
# lib/MyModel.pm

use warnings;
use strict;

use base qw(Jifty::DBI::Record);
# your custom code goes here.
1;
MyModel::Schema
package MyModel::Schema;
# lib/MyModel/Schema.pm

use warnings;
use strict;

use Jifty::DBI::Schema;

column foo => type is text;
column bar => type is text;

1;
myscript.pl
#!/usr/bin/env perl
# myscript.pl

use strict;
use warnings;

use Jifty::DBI::SchemaGenerator;

use Jifty::DBI::Handle;
use MyModel;
use MyModel::Schema;

my $handle = Jifty::DBI::Handle->new();
$handle->connect(
driver => SQLite,
database => testdb,
);

my $model = MyModel->new($handle);
my $s_gen = Jifty::DBI::SchemaGenerator->new( $handle );
$s_gen->add_model($model);

# heres the basic point of this module:
my @statements = $s_gen->create_table_sql_statements;
print join("n", @statements, );

# this part is directly from Jifty::Script::Schema::create_all_tables()
$handle->begin_transaction;
for my $statement (@statements) {
my $ret = $handle->simple_query($statement);
$ret or die "error creating a table: " . $ret->error_message;
}
$handle->commit;

Mergeant is a database administration tool.

Mergeant allows to connect to any database through the Libgda library (MySQL, PostgeSQL, Oracle, etc) and manage data within the database.

Any DML (data manipulation: insertion, update, deletion and selection) query can be created to help managing the data (queries can have optionnal parameters), from SQL statements or from a GUI interface.

The database structure (tables, data types, etc) can be browsed (modification is on the TODO list), and graphical representations of the database relations can be created.

SQL::Schema is a Perl module to convert a data dictionary into SQL statements.

SYNOPSIS

use DBI;

my $dbh = DBI->connect(...);

use SQL::Schema;

my $schema = SQL::Schema->new($dbh);

my $sql = $schema->string;
print $sql;

print "$schema";

WARNING

This is alpha software. It currently works with Oracle databases only. The name of the module might be changed in future releases as well as its interface.

If somebody is modifying the datase schema during the life time of an SQL::Schema object, the object will probably fail and / or produce wrong information.

SQL::Schema is a class for objects representing a database schema. The methods of an instanciated object do allow to access the information within a databases data dictionary and to represent them as SQL create statements and the like using the proper SQL dialect.

Constructor

$schema = SQL::Schema->new($dbh);

The new method instanciates a schema object. The only argument required is a database handle, which has to offer the same API as described within DBI(3).

Methods

$sql = $schema->string;

Returns an SQL string containing several statements at once. This string contains all the SQL statements to create the database schema.

This method is overloaded with the string operator. So the following two lines are equivalent:

$sql = $schema->string;
$sql = "$schema";

FrameMaker::MifTree is a MIF Parser Perl module.

SYNOPSIS

use FrameMaker::MifTree;
my $mif = FrameMaker::MifTree->new;
$mif->parse_miffile(filename.mif);
@strings = $mif->daughters_by_name(String, recurse => 1);
print $strings[0]->string;
$strings[3]->string(Just another new string.);
$mif->dump_miffile(newmif.mif);

The FrameMaker::MifTree class is implemented as a Tree::DAG_Node subclass, and thus inherits all the methods of that class. Two methods are overridden. Please read Tree::DAG_Node to see what other methods are available.
MIF (Maker Interchange Format) is an Adobe FrameMaker file format in ASCII, consisting of statements that create an easily parsed, readable text file of all the text, graphics, formatting, and layout constructs that FrameMaker understands. Because MIF is an alternative representation of a FrameMaker document, it allows FrameMaker and other applications to exchange information while preserving graphics, document content, and format.

This document does not tell you what the syntax of a MIF file is, nor does it document the meaning of the MIF statements. For this, please read (and re-read) the MIF_Reference.pdf, provided by Adobe.

MifTree not only knows the MIF syntax, but it also has some understanding of the allowed structures (within their contexts) and attribute types. The file FrameMaker/MifTree/MifTreeTags holds all the valid MIF statements and the attribute type for every statement. This file may need some improvement, as it is created by analyzing a large collection of MIF files written by FrameMaker (and an automatic analysis of the MIF Reference, which showed several typos and inconsistencies in that manual). The current file is for MIF version 7.00.

BasicQuery is a Java-based application used to access databases through JDBC. It features a Swing-based GUI and includes capabilities useful to developers when testing SQL statements against a database. BasicQuery also produces timing information, which is valuable during tuning exercises.