Merged how insert and update set columns

[dbsrgits/SQL-Abstract-2.0-ish.git] / lib / SQL / Abstract / Manual / Specification.pod

=head1 NAME

SQL::Abstract::Manual::Specification

=head1 SYNOPSIS

This discusses the specification for the AST provided by L<SQL::Abstract>. It is
meant to describe how the AST is structured, various components provided by
L<SQL::Abstract> for use with this AST, how to manipulate the AST, and various
uses for the AST once it is generated.

=head1 MOTIVATIONS

L<SQL::Abstract> has been in use for many years. Originally created to handle
the where-clause formation found in L<DBIx::Abstract>, it was generalized to
manage the creation of any SQL statement through the use of Perl structures.
Through the beating it received as the SQL generation syntax for L<DBIx::Class>,
various deficiencies were found and a generalized SQL AST was designed. This
document describes that AST.

=head1 GOALS

The goals for this AST are as follows:

=head2 SQL-specific semantics

Instead of attempting to be an AST to handle any form of query, this will
instead be specialized to manage SQL queries (and queries that map to SQL
queries). This means that there will be support for SQL-specific features, such
as placeholders.

=head2 Perl-specific semantics

This AST is meant to be used from within Perl5 only. So, it will take advantage
of as many Perl-specific features that make sense to use. No attempt whatosever
will be made to make this AST work within any other language, including Perl6.

=head2 Whole-lifecycle management

Whether a query is built out of whole cloth in one shot or cobbled together from
several snippets over the lifetime of a process, this AST will support any way
to construct the query. Queries can also be built from other queries, so an
UPDATE statement could be used as the basis for a SELECT statement, DELETE
statement, or even a DDL statement of some kind.

=head2 Dialect-agnostic usage

Even though SQL itself has several ANSI specifications (SQL-92 and SQL-99 among
them), this only serves as a basis for what a given RDBMS will expect. However,
every engine has its own specific extensions and specific ways of handling
common features. The AST will provide ways of expressing common functionality in
a common language. The emitters (objects that follow the Visitor pattern) will
be responsible for converting that common language into RDBMS-specific SQL.

=head1 RESTRICTIONS

The following are the restrictions upon the AST:

=head2 DML-only

The AST will only support DML (Data Modelling Language). It will not (currently)
support DDL (Data Definition Language). Practically, this means that the only
statements supported will be:

=over 4

=item * SELECT

=item * INSERT INTO

=item * UPDATE

=item * DELETE

=back

Additional DML statements may be supported by specific Visitors (such as a
MySQL visitor supporting REPLACE INTO). q.v. the relevant sections of this
specification for details.

=head2 Dialect-agnostic construction

The AST will not attempt to be immediately readable to a human as SQL. In fact,
due to the dialect differences, particularly in terms of which use operators and
which use functions for a given action, the AST will provide simple units. It is
the responsibility of the Visitor to provide the appropriate SQL. Furthermore,
the AST will be very generic and only provide hints for a subset of SQL. If a
Visitor is sufficiently intelligent, pretty SQL may be emitted, but that is not
the goal of this AST.

=head1 COMPONENTS

There are two major components to SQL::Abstract v2.

=over 4

=item * AST

This is the Abstract Syntax Tree. It is a data structure that represents
everything necessary to construct the SQL statement in whatever dialect the
user requires.

=item * Visitor

This object conforms to the Visitor pattern and is used to generate the SQL
represented by the AST. Each dialect will have a different Visitor object. In
addition, there will be visitors for at least one of the ANSI specifications.

=back

The division of duties between the two components will focus on what the AST
can and cannot assume. For example, identifiers do not have 20 components in
any dialect, so the AST can validate that. However, determining what
constitutes a legal identifier can only be determined by the Visitor object
enforcing that dialect's rules.

=head1 AST STRUCTURE

The AST will be a HoHo..oH (hash of hash of ... of  hashes). The keys to the
outermost hash will be the various clauses of a SQL statement, plus some
metadata keys.

=head2 Metadata keys

These are the additional metadata keys that the AST provides for.

=head3 type

This denotes what kind of query this AST should be interpreted as. Different
Visitors may accept additional values for type. For example, a MySQL Visitor
may choose to accept 'replace' for REPLACE INTO. If a type value is
unrecognized by the Visitor, the Visitor is expected to throw an error.

All Visitors are expected to handle the following values for type:

=over 4

=item * select

This is a SELECT statement.

=item * insert

This is an INSERT statement.

=item * update

This is an UPDATE statement.

=item * delete

This is a DELETE statement.

=back

=head3 ast_version

This denotes the version of the AST. Different versions will indicate different
capabilities provided. Visitors will choose to respect the ast_version as needed
and desired.

=head2 Structural units

All structural units will be hashes. These hashes will have, at minimum, the
following keys:

=over 4

=item * type

This indicates the structural unit that this hash is representing. While this
specification provides for standard structural units, different Visitors may
choose to accept additional units as desired. If a Visitor encounters a unit it
doesn't know how to handle, it is expected to throw an exception. 

=back

Structural units in the AST are supported by loaded components. L<SQL::Abstract>
provides for the following structural units by default:

=head3 Identifier

This is a (potentially) fully canonicalized identifier for a elemnt in the
query. This element could be a schema, table, or column. The Visitor will
determine validity within the context of that SQL dialect. The AST is only
responsible for validating that the elements are non-empty Strings.

The hash will be structured as follows:

  {
      type     => 'Identifier',
      elements => [ Scalar ],
  }

All values in elements must be defined.

Visitors are expected to, by default, quote all identifiers according to the SQL
dialect's quoting scheme.

Any of the elements may be '*', as in SELECT * or SELECT COUNT(*). Visitors must
be careful to I<not> quote asterisks.

=head3 Value

A Value is a Perl scalar. Depending on the subtype, a Visitor may be able to
make certain decisions. The following are the minimally-valid subtypes:

=over 4

=item * String

A String is a quoted series of characters. The Visitor is expected to ensure
that embedded quotes are properly handled per the SQL dialect's quoting scheme.

=item * Number

A Number is an unquoted number in some numeric format.

=item * Null

Null is SQL's NULL and corresponds to Perl's C<undef>.

=item * BindParameter

This corresponds to a value that will be passed in. This value is normally
quoted in such a fashion so as to protect against SQL injection attacks. (q.v.
L<DBI/quote()> for an example.)

BindParameters are normally represented by a '?'.

=back

The hash will be structured as follows:

  {
      type    => 'Value'
      subtype => [ 'String' | 'Number' | 'Null' | 'BindParameter' ]
      value   => Scalar
  }

The provided subtypes are the ones that all Visitors are expected to support.
Visitors may choose to support additional subtypes. Visitors are expected to
throw an exception upon encountering an unknown subtype.

=head3 Operator

An Operator would be, in SQL dialect terms, a unary operator, a binary operator,
a trinary operator, or a function. Since different dialects may have a given
functionality as an operator or a function (such as CONCAT in MySQl vs. || in
Oracle for string concatenation), they will be represented in the AST as generic
operators.

The hash will be structured as follows:

  {
      type => 'Operator',
      op   => String,
      args => [
          Expression,
      ],
  }

Operators have a cardinality, or expected number of arguments. Some operators,
such as MAX(), have a cardinality of 1. Others, such as IF(), have a cardinality
of N, meaning they can have any number of arguments greater than 0. Others, such
as NOW(), have a cardinality of 0. Several operators with the same meaning may
have a different cardinality in different SQL dialects as different engines may
allow different behaviors. As cardinality may differ between dialects, enforcing
cardinality is necessarily left to the Visitor.

Operators also have restrictions on the types of arguments they will accept. The
first argument may or may not restricted in the same fashion as the other
arguments. As with cardinality, this restriction will need to be managed by the
Visitor.

The operator name needs to take into account the possibility that the RDBMS may
allow UDFs (User-Defined Functions) that have the same name as an operator, such
as 'AND'. This will have to be managed by the Visitor.

=head3 Subquery

A Subquery is another AST whose type metadata parameter is set to "SELECT".

Most places that a Subquery can be used would require a single value to be
returned (single column, single row), but that is not something that the AST can
easily enforce. The single-column restriction may possibly be enforced, but the
single-row restriction is much more difficult and, in most cases, probably
impossible.

Subqueries, when expressed in SQL, must be bounded by parentheses.

=head3 Alias

An Alias is any place where the construct "X as Y" appears. While the "as Y" is
often optional, the AST will make it required.

The hash will be structured as follows:

  {
      type  => 'Alias',
      value => Expression,
      as    => Identifier,
  }

=head3 Expression

An Expression can be any one of the following:

=over 4

=item * Identifier

=item * Value

=item * Operator

=item * Subquery

=item * Alias

=back

An Expression is a meta-syntactic unit. An "Expression" unit will never appear
within the AST. It acts as a junction.

=head3 Nesting

There is no specific operator or nodetype for nesting. Instead, nesting is
explicitly specified by node descent in the AST. 

=head2 SQL clauses

These are all the legal and acceptable clauses within the AST that would
correpsond to clauses in a SQL statement. Not all clauses are legal within a
given RDBMS engine's SQL dialect and some clauses may be required in one and
optional in another. Detecting and enforcing those engine-specific restrictions
is the responsibility of the Visitor object.

The following clauses are expected to be handled by Visitors for each statement:

=over 4

=item * select

=over 4

=item * select

=item * tables

=item * where

=item * orderby

=item * groupby

=back

=item * insert

=over 4

=item * tables

=item * set

=back

There are RDBMS-specific variations of the INSERT statement, such the one in
MySQL's 

=item * update

=over 4

=item * tables

=item * set

=item * where

=back

=item * delete

=over 4

=item * tables

=item * where

=back

=back

The expected clauses are (name and structure):

=head3 select

This corresponds to the SELECT clause of a SELECT statement.

A select clause unit is an array of one or more Expressions.

=head3 tables

This is a list of tables that this clause is affecting. It corresponds to the
FROM clause in a SELECT statement and the INSERT INTO/UPDATE/DELETE clauses in
those respective statements. Depending on the type metadata entry, the
appropriate clause name will be used.

The tables clause has several RDBMS-specific variations. The AST will support
all of them and it is up to the Visitor object constructing the actual SQL to
validate and/or use what is provided as appropriate.

A tables clause is an Expression.

The hash for an Operator within a tables clause will be composed as follows:

  # Operator
  {
      type => 'Operator',
      op   => '< LEFT|RIGHT|FULL [ OUTER ] > | INNER | CROSS',
      on   => Expression,
      args => [ Expression ],
  }

A USING clause is syntactic sugar for an ON clause and, as such, is not provided
for by the AST. A join of a comma is identical to a CROSS JOIN and, as such, is
not provided for by the AST. The on clause is optional.

=head3 where

This corresponds to the WHERE clause in a SELECT, UPDATE, or DELETE statement.

A where clause is composed of an Expression.

=head3 set

This corresponds to the SET clause in an INSERT or UPDATE statement.

The hash for an set clause will be composed as follows:

  {
      type => 'Set',
      args => [
          [ Identifier ],
          [ Expresion ],
      ],
  }

The args is an array that is organized as follows: The first element is an array of
Identifiers for the columns being set. The following arrays are Expressions describing
the values. The various arrays should be the same length. The array of Identifiers can
be omitted.

=head3 orderby

This corresponds to the ORDER BY clause in a SELECT statement.

A orderby clause unit is an array of one or more OrderbyComponent units.

The hash for a OrderbyComponent unit is composed as follows:

  {
      type  => 'OrderbyComponent',
      value => Expression,
      dir   => '< ASC | DESC >',
  }

The value should either be an Identifier or a Number. The dir element, if
omitted, will be defaulted to ASC by the AST. The number corresponds to a column
in the select clause.

=head3 groupby

This corresponds to the GROUP BY clause in a SELECT statement.

A groupby clause unit is an array of one or more GroupbyComponent units.

The hash for a GroupbyComponent unit is composed as follows:

  {
      type  => 'GroupbyComponent',
      value => Expression,
  }

The value should either be an Identifier or a Number. The number corresponds to
a column in the select clause.

=head2 Possible RDBMS-specific clauses

The following clauses are provided as examples for RDBMS-specific elements. They
are B<not> expected to be supported by all Visitors. Visitors may choose whether
or not to throw on an unexpected clause, though it is strongly recommended.

=head3 rows

This corresponds to the clause that is used in some RDBMS engines to limit the
number of rows returned by a SELECT statement. In MySQL, this would be the LIMIT
clause.

The hash for a rows clause is composed as follows:

  {
      start => Number,
      count => Number,
  }

The start attribute, if ommitted, will default to 0. The count attribute is
optional.

=head3 for

This corresponds to the clause that is used in some RDBMS engines to indicate
what locks are to be taken by this SELECT statement.

The hash for a for clause is composed as follows:

  {
      value => '< UPDATE | DELETE >',
  }

=head3 connectby

This corresponds to the clause that is used in some RDBMS engines to provide for
an adjacency-list query.

The hash for a for clause is composed as follows:

  {
      start_with => [
          Expression,
      ],
      connect_by => {
          option => '< PRIOR | NOCYCLE >'
          cond => [
              Expression,
          ],
      },
      order_siblings => orderby-clause,
  }

Both the start_with and order_siblings clauses are optional.

=head1 TODO

=over 4

=item * sproc unit

=item * UNION, UNION ALL, and MINUS

=item * INSERT INTO <table> SELECT ...

=item * INSERT INTO <table> SET ...

=item * UPDATE foo me SET bar = 1 FROM fnord f WHERE me.col1 = f.frobinator

=item * INSERT moves to using the SET terminology with Visitor dwimming

=back

Convert INSERT and UPDATE into ->populate form.

=head1 AUTHORS

robkinyon: Rob Kinyon C<< <rkinyon@cpan.org> >>

=head1 LICENSE

You may distribute this code under the same terms as Perl itself.

=cut