Awesome
Dialect
Cross-Vendor & Cross-Platform SQL Query Builder for PHP, Python, JavaScript
version 1.4.0
see also:
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- Paginator simple and flexible pagination controls generator for PHP, JavaScript, Python
- Formal a simple and versatile (Form) Data validation framework based on Rules for PHP, JavaScript, Python
- Dialect a cross-vendor & cross-platform SQL Query Builder, based on GrammarTemplate, for PHP, JavaScript, Python
- DialectORM an Object-Relational-Mapper (ORM) and Object-Document-Mapper (ODM), based on Dialect, for PHP, JavaScript, Python
- Unicache a simple and flexible agnostic caching framework, supporting various platforms, for PHP, JavaScript, Python
- Xpresion a simple and flexible eXpression parser engine (with custom functions and variables support), based on GrammarTemplate, for PHP, JavaScript, Python
- Regex Analyzer/Composer Regular Expression Analyzer and Composer for PHP, JavaScript, Python
Contents
Requirements
- Support multiple DB vendors (eg.
MySQL
,MariaDB
,PostgreSQL
,SQLite
,Transact-SQL
(SQL Server
), ..) - Easily extended to new
DB
s ( prefereably through a, implementation-independent, config setting ) - Light-weight ( one class/file per implementation if possible )
- Speed
- Modularity and implementation-independent transferability
- Flexible and Intuitive API
DB vendor sql support
(complete except for CREATE
and ALTER
sql clauses which are only half-complete due to many different vendor-specific parameters)
Dependencies
- PHP: 5.2+
- Python: 2.x or 3.x
- JavaScript: ES5+
Features
Grammar Templates
Dialect
(v.0.5.0+
) uses a powerful, fast, flexible and intuitive concept: grammar templates
, to configure an sql
dialect, which is similar to the SQL
(grammar) documentation format used by SQL
vendors.
Dialect
uses a similar grammar-like template format, as a description and generation tool to produce sql code
output relevant to a specific sql
dialect.
For example the SELECT
clause of MySql
/MariaDB
can be modeled / described as follows:
SELECT <select_columns> [, <*select_columns> ]
FROM <from_tables> [, <*from_tables> ]
[ <?join_clauses> [\n <*join_clauses> ] ]
[ WHERE <?where_conditions> ]
[ GROUP BY <?group_conditions> [, <*group_conditions> ] ]
[ HAVING <?having_conditions> ]
[ ORDER BY <?order_conditions> [, <*order_conditions> ] ]
[ LIMIT <offset|0>, <?count> ]
The SELECT
clause for Transact-SQL
(SQL Server
2012+) with LIMIT
clause emulation can be described as follows:
SELECT <select_columns> [, <*select_columns> ]
FROM <from_tables> [, <*from_tables> ]
[ <?join_clauses> [\n <*join_clauses> ] ]
[ WHERE <?where_conditions> ]
[ GROUP BY <?group_conditions> [, <*group_conditions> ] ]
[ HAVING <?having_conditions> ]
[ ORDER BY <?order_conditions> [, <*order_conditions> ][ OFFSET <offset|0> ROWS FETCH NEXT <?count> ROWS ONLY ] ]
[<?!order_conditions>[ ORDER BY 1 OFFSET <offset|0> ROWS FETCH NEXT <?count> ROWS ONLY ] ]
The DELETE
clause for SQLite
with ORDER BY
and LIMIT
clause emulation can be described as follows (note how the grammar template is polymorphic depending on whether ORDER BY
and/or LIMIT
are to be used, else defaults to the simplest sql
output):
[<?!order_conditions><?!count>
DELETE FROM <from_tables> [, <*from_tables> ] [ WHERE <?where_conditions> ]
][
DELETE FROM <from_tables> [, <*from_tables> ] WHERE rowid IN (
SELECT rowid FROM <from_tables> [, <*from_tables> ]
[ WHERE <?where_conditions> ] ORDER BY <?order_conditions> [, <*order_conditions> ] [ LIMIT <?count> OFFSET <offset|0> ]
)
][<?!order_conditions>
DELETE FROM <from_tables> [, <*from_tables> ] WHERE rowid IN (
SELECT rowid FROM <from_tables> [, <*from_tables> ]
[ WHERE <?where_conditions> ] LIMIT <?count> OFFSET <offset|0>
)
]
where [..]
describe an optional block of sql code
(depending on passed parameters) and <..>
describe placeholders for query
parameters / variables (i.e non-terminals
).
The optional block of code depends on whether all optional parameters defined inside (with <?..>
or <*..>
for rest parameters) exist. Then, that block (and any nested blocks it might contain) is output, else bypassed.
(for various methods to emulate LIMIT/OFFSET
clauses see, for example, here and a reasonable critic here)
Dialect
will parse this into a (fast) grammar
template and generate appropriate sql
output depending on the parameters given automaticaly.
It is very easy, intuitive and powerful to produce sql code
for an arbitrary SQL
vendor,
by defining the grammar
of sql clauses
(sometimes even directly from the SQL
documentation page, or with only minor adjustments).
The whole point of Dialect
from the start was to use intuitive configuration to describe sql
clauses and sql
normalisation instead of those being hidden behind deep, kludgy and/or cryptic source code abstractions and extensions (plus avoid loading multiple files through interfaces to get the right sql
emulator). You build you own descriptions for SQL
dialects (and choice of emulations, optimisations, normalisations to use) and not the other way around. The library will just try to ease the burden off (some, at least for now) boilerplate code and automate trivial tasks, letting you focus on the important stuff.
Native SQL functions support
Dialect
supports native SQL functions (per db vendor) defined in the configuration settings per db vendor and accessed / used genericaly in the Dialect API
(see text examples)
Multiple variations of a clause
Dialect
supports using multiple variations of the same SQL
clause, very easily.
For example, a main DELETE
clause for SQLite
with LIMIT
emulation and another variation (e.g 'delete_with_limit_clause'
) when SQLite
is configured to allow LIMIT
clauses in DELETE
clauses (which is not a default setting out-of-the-box).
User will just pass the clause variation name as parameter to, an otherwise same, dialect.Delete('delete_with_limit_clause')
method call and Dialect
will take care of the rest. Easy and flexible as that.
Coupled with the fact that Dialect
supports clause
definition via grammar-templates, which are polymoprhic themselves (see above), this is a very powerful and flexible feature.
Custom Soft Views
(experimental feature)
Dialect
supports defining custom (soft) views
which can be used (almost, as of now) like usual SQL
views.
Reasons to support soft views
are:
DB
provider does not supportviews
by default.- User does not have access to create
views
in DB, or does not want to. Views
are dynamic and/or ad-hoc and it would be overhead to create and drop them all the time.
Dialect
stores a sql
definition as a view
and whenever this soft view
is used, the actual sql
definition
is transparently used underneath (with some care for name resolution, selection, re-aliasing, conflicts and so on).
Soft Views
are mostly useful for SELECT
clauses (e.g selecting from a wordpress
post with associated meta fields
as if they are one single custom-made table with custom column aliases, this makes code more concise, modular, safer, cleaner and transferable to other DB configurations where indeed a single table can be used and so on)
Prepared Templates
(experimental feature)
see below API
examples
API Reference
Dialect
is also aXPCOM JavaScript Component
(Firefox) (e.g to be used in firefox browser addons/plugins)
// -- instance methods --
// --------------------------------------------------------
var dialect = new Dialect( [String vendor="mysql"] );
// NOTE1: all methods are chainable
// NOTE2: sql fields are automaticaly escaped appropriately except if set otherwise
// NOTE3: field values are automaticaly escaped appropriately except if set otherwise
// NOTE4: config sql clauses use 'grammar-like templates' to generate vendor-specific sql code in a flexible and intuitive way
// start TRANSACTION directive (resets the instance state to START TRANSACTION)
dialect.StartTransaction( String type=null );
// commit TRANSACTION directive (resets the instance state to COMMIT)
dialect.CommitTransaction( );
// rollback TRANSACTION directive (resets the instance state to ROLLBACK)
dialect.RollbackTransaction( );
// run a complete TRANSACTION directive with included statements and rollback/commit set (resets the instance state to TRANSACTION)
dialect.Transaction( Object options );
// initiate CREATE directive (resets the instance state to CREATE)
dialect.Create( String table[, Object options] ); // NOTE: almost complete
// initiate ALTER directive (resets the instance state to ALTER)
dialect.Alter( String table[, Object options] ); // NOTE: almost complete
// initiate DROP directive (resets the instance state to DROP)
dialect.Drop( String table[, Object options] );
// initiate SELECT directive (resets the instance state to SELECT)
dialect.Select( String | Array fields='*' );
// initiate Union or Union All directive (resets the instance state to UNION)
dialect.Union( Array select_subqueries, all=false );
// initiate INSERT directive (resets the instance state to INSERT)
dialect.Insert( String | Array tables, String | Array fields );
// initiate UPDATE directive (resets the instance state to UPDATE)
dialect.Update( String | Array tables );
// initiate DELETE directive (resets the instance state to DELETE)
dialect.Delete( );
// FROM directive
dialect.From( String | Array tables );
// WHERE directive
dialect.Where( String | Object conditions [, String type="AND"] );
// HAVING directive
dialect.Having( String | Object conditions [, String type="AND"] );
// VALUES directive
dialect.Values( Array values );
// SET directive
dialect.Set( Object fields_values );
// JOIN directive
dialect.Join( String table, String | Object condition [, String type=""] );
// GROUP directive
dialect.Group( String field [, String dir="ASC"] );
// ORDER directive
dialect.Order( String field [, String dir="ASC"] );
// LIMIT directive
dialect.Limit( Number count [, Number offset=0] );
// PAGE directive (an alias of LIMIT)
dialect.Page( Number page, Number perpage );
// get sql code (up to this point) as string
// dialect.toString( ) will do same
var sql_code = dialect.sql( );
// set the escaper callback that escapes or quotes strings based on actual DB charsets etc..
// else a default escaper will be used, which may not be optimal based on actual DB charset and so on..
// set second argument to true if db escaper quotes (ie wraps it in quotes) the value as well instead of only escaping it
dialect.escape( Function db_escaper, Boolean does_quoting=false );
// set the escaper callback that escapes or quotes identifiers..
// else a default escaper will be used
// set second argument to true if db escaper quotes (ie wraps it in quotes) the value as well instead of only escaping it
dialect.escapeId( Function db_escaper_id, Boolean does_quoting=false );
// build a subquery on an independent dialect instance with exact same settings
var subquery_sql = dialect.subquery( ).Select('column').From('table').Where({'column':'somevalue'}).sql( );
// prepare a sql_code_string with passed parameters
var prepared_sql = dialect.prepare( String sql_code, Object parameters [, String left_delimiter='%', String right_delimiter='%'] );
// example, will automaticaly typecast the key to integer (i.e "i:" modifier)
var prepared = dialect.prepare("SELECT * FROM `table` WHERE `field` = %i:key%", {key:'12'} );
// available optional modifiers:
// NOTE: any quotes will be added automaticaly,
// quotes, for example for parameters representing strings, should not be added manualy
// r: raw, pass as is
// l: typecast to string suitable for a "LIKE" argument with appropriate quotes
// f: typecast to escaped string or comma-separated list of escaped strings representing identifier, table or field reference(s) with appropriate quotes (see `.escapeId` method above)
// i: typecast to integer or comma-separated list of integers
// d: typecast to float or comma-separated list of floats
// s: typecast to escaped string or comma-separated list of escaped strings with appropriate quotes (see `.escape` method above)
// if no modifier is present default typecasting is "s:" modifier, i.e as escaped and quoted string
//
// EXPERIMENTAL FEATURE:
// Create custom "soft" views and treat as usual tables
// define/create a custom soft view
dialect
.Select('t.f1 AS f1,t.f2 AS f2,t2.f3 AS f3')
.From('t')
.Join('t2',{'t.id':'t2.id'},'inner')
.createView('my_view') // automaticaly clears instance state after view created, so new statements can be used
;
// use it in a SELECT statement
var query_soft_view = dialect
.Select('f1 AS f11,f2,f3')
.From('my_view')
.Where({f1:'2'})
.sql()
;
// drop the custom view, if exists
dialect.dropView('my_view');
//
// EXPERIMENTAL FEATURE:
// Create prepared sql queries as pre-compiled templates (parses sql only once on template creation)
// define/create a prepared sql query template
dialect
.Select('t.f1 AS f1,t.f2 AS f2,t2.f3 AS f3')
.From('t')
.Where({
f1:{eq:'%d:id%',type:'raw'} // NOTE: parameter type format is same as that used in .prepare method above
})
.prepareTpl('prepared_query') // automaticaly clears instance state after tpl created, so new statements can be used
;
// or using a ready-made query string also works
dialect.prepareTpl('prepared_query', "SELECT * FROM `table` WHERE `field` = %d:id%");
// use it
// will automaticaly typecast the key to integer (i.e "d:" modifier was used in prepared template definition)
var query_prepared = dialect.prepared('prepared_query',{id:'12'});
// drop the custom prepared sql template, if exists
dialect.dropTpl('prepared_query');
TODO
- add full support for custom soft views [DONE]
- add support for native sql functions [DONE]
- support
UNION [ALL]
clause [DONE] - add full support for sql directives (e.g
create table/view
,drop table/view
,begin transaction
,alter table/view
) [ALMOST DONE] - add support for subqueries [DONE]
- allow general subqueries both as conditions in WHERE clauses ( eg IN ([SUBQUERY]) ) and/or as custom dynamic columns and tables (with aliases) ( eg SELECT column FROM ([SUBQUERY]) AS table) [DONE]
- optimise and generalise grammar-templates abit, use different template per sql clause [DONE]
- add support for other sql vendors (e.g
Oracle
, .. )
Performance
(TODO)