SQL::Statement - SQL parsing and processing engine
require SQL::Statement; # Create a parser my($parser) = SQL::Parser->new('Ansi'); # Parse an SQL statement $@ = ''; my ($stmt) = eval { SQL::Statement->new("SELECT id, name FROM foo WHERE id > 1", $parser); }; if ($@) { die "Cannot parse statement: $@"; } # Query the list of result columns; my $numColums = $stmt->columns(); # Scalar context my @columns = $stmt->columns(); # Array context # @columns now contains SQL::Statement::Column instances # Likewise, query the tables being used in the statement: my $numTables = $stmt->tables(); # Scalar context my @tables = $stmt->tables(); # Array context # @tables now contains SQL::Statement::Table instances # Query the WHERE clause; this will retrieve an # SQL::Statement::Op instance my $where = $stmt->where(); # Evaluate the WHERE clause with concrete data, represented # by an SQL::Eval object my $result = $stmt->eval_where($eval); # Execute a statement: $stmt->execute($data, $params);
For installing the module, see "INSTALLATION" below.
At the moment this POD is lifted straight from Jochen Wiedmann's SQL::Statement with the exception of the section labeled "PURE PERL VERSION" below which is a must read.
The SQL::Statement module implements a small, abstract SQL engine. This module is not usefull itself, but as a base class for deriving concrete SQL engines. The implementation is designed to work fine with the DBI driver DBD::CSV, thus probably not so well suited for a larger environment, but I'd hope it is extendable without too much problems.
By parsing an SQL query you create an SQL::Statement instance. This instance offers methods for retrieving syntax, for WHERE clause and statement evaluation.
This version is a pure perl version of Jochen's original SQL::Statement. Eventually I will re-write the POD but for now I will document in this section the ways it differs from Jochen's version only and you can assume that things not mentioned in this section remain as described in the rest of this POD.
In the ...SQL/Dialect directory are files that define the valid types, reserved words, and other features of the dialects. Currently the ANSI dialect is available only for prepare() not execute() while the CSV and AnyData dialect support both prepare() and execute().
In addition to the dialect files, features of SQL::Statement can be defined by flags sent by subclasses in the call to new, for example:
my $stmt = SQL::Statement->new($sql_str,$flags); my $stmt = SQL::Statement->new($sql_str, {text_numbers=>1});
Dialect is one of 'ANSI', 'CSV', or 'AnyData'; the default is CSV, i.e. the behaviour of the original XS SQL::Statement.
If true, this allows texts that look like numbers (e.g. 2001-01-09 or 15.3.2) to be sorted as text. In the original version these were treated as numbers and threw warnings as well as failed to sort as text. The default is false, i.e. the original behaviour. The AnyData dialect sets this to true by default, i.e. it allows sorting of these kinds of columns.
If true this allows alphabetic comparison. The original version would ignore SELECT statements with clauses like "WHERE col3 < 'c'". The default is false, i.e. the original style. The AnyData dialect sets this to true by default, i.e. it allows such comparisons.
The LIMIT clause as described by Jochen below never actually made it into the execute() portion of his SQL::Statement, it is now supported.
There is an experimental RLIKE operator similar to LIKE but takes a perl regular expression, e.g. SELECT * FROM foo WHERE bar RLIKE '^\s*Baz[^:]*:$' Currently this is only available in the AnyData dialect.
All items in the pod referring to yacc, C, bison, etc. are now only historical since this version has ported all of those portions into perl.
What's accepted as valid SQL, depends on the parser object. There is a set of so-called features that the parsers may have or not. Usually you start with a builtin parser:
my $parser = SQL::Parser->new($name, [ \%attr ]);
Currently two parsers are builtin: The Ansi parser implements a proper subset of ANSI SQL. (At least I hope so. :-) The SQL::Statement parser is used by the DBD:CSV driver.
You can query or set individual features. Currently available are:
These enable the respective column types in a CREATE TABLE clause. They are all disabled in the Ansi parser, but enabled in the SQL::Statement parser. Example:
This enables the use of multiple tables in a SELECT statement, for example
SELECT a.id, b.name FROM a, b WHERE a.id = b.id AND a.id = 2
To enable or disable a feature, for example select.join, use the following:
# Enable feature $parser->feature("select", "join", 1); # Disable feature $parser->feature("select", "join", 0);
Of course you can query features:
# Query feature my $haveSelectJoin = $parser->feature("select", "join");
The new method allows a shorthand for setting features. For example, the following is equivalent to the SQL::Statement parser:
new
$parser = SQL::Statement->new('Ansi', { 'create' => { 'type_text' => 1, 'type_real' => 1, 'type_blob' => 1 }, 'select' => { 'join' => 0 }});
A statement can be parsed with
my $stmt = SQL::Statement->new($query, $parser);
In case of syntax errors or other problems, the method throws a Perl exception. Thus, if you want to catch exceptions, the above becomes
$@ = ''; my $stmt = eval { SQL::Statement->new($query, $parser) }; if ($@) { print "An error occurred: $@"; }
The accepted SQL syntax is restricted, though easily extendable. See "SQL syntax" below. See "Creating a parser object" above.
The following methods can be used to obtain information about a query:
Returns the SQL command, currently one of SELECT, INSERT, UPDATE, DELETE, CREATE or DROP, the last two referring to CREATE TABLE and DROP TABLE. See "SQL syntax" below. Example:
my $command = $stmt->command();
my $numColumns = $stmt->columns(); # Scalar context my @columnList = $stmt->columns(); # Array context my($col1, $col2) = ($stmt->columns(0), $stmt->columns(1));
This method is used to retrieve column lists. The meaning depends on the query command:
SELECT $col1, $col2, ... $colN FROM $table WHERE ... UPDATE $table SET $col1 = $val1, $col2 = $val2, ... $colN = $valN WHERE ... INSERT INTO $table ($col1, $col2, ..., $colN) VALUES (...)
When used without arguments, the method returns a list of the columns $col1, $col2, ..., $colN, you may alternatively use a column number as argument. Note that the column list may be empty, like in
INSERT INTO $table VALUES (...)
and in CREATE or DROP statements.
But what does "returning a column" mean? It is returning an SQL::Statement::Column instance, a class that implements the methods table and name, both returning the respective scalar. For example, consider the following statements:
table
name
INSERT INTO foo (bar) VALUES (1) SELECT bar FROM foo WHERE ... SELECT foo.bar FROM foo WHERE ...
In all these cases exactly one column instance would be returned with
$col->name() eq 'bar' $col->table() eq 'foo'
my $tableNum = $stmt->tables(); # Scalar context my @tables = $stmt->tables(); # Array context my($table1, $table2) = ($stmt->tables(0), $stmt->tables(1));
Similar to columns, this method returns instances of SQL::Statement::Table. For UPDATE, DELETE, INSERT, CREATE and DROP, a single table will always be returned. SELECT statements can return more than one table, in case of joins. Table objects offer a single method, name which
columns
SQL::Statement::Table
returns the table name.
my $paramNum = $stmt->params(); # Scalar context my @params = $stmt->params(); # Array context my($p1, $p2) = ($stmt->params(0), $stmt->params(1));
The params method returns information about the input parameters used in a statement. For example, consider the following:
params
INSERT INTO foo VALUES (?, ?)
This would return two instances of SQL::Statement::Param. Param objects implement a single method, $param-num()>, which retrieves the parameter number. (0 and 1, in the above example). As of now, not very usefull ... :-)
$param-
my $rowValueNum = $stmt->row_values(); # Scalar context my @rowValues = $stmt->row_values(); # Array context my($rval1, $rval2) = ($stmt->row_values(0), $stmt->row_values(1));
This method is used for statements like
UPDATE $table SET $col1 = $val1, $col2 = $val2, ... $colN = $valN WHERE ... INSERT INTO $table (...) VALUES ($val1, $val2, ..., $valN)
to read the values $val1, $val2, ... $valN. It returns scalar values or SQL::Statement::Param instances.
my $orderNum = $stmt->order(); # Scalar context my @order = $stmt->order(); # Array context my($o1, $o2) = ($stmt->order(0), $stmt->order(1));
In SELECT statements you can use this for looking at the ORDER clause. Example:
SELECT * FROM FOO ORDER BY id DESC, name
In this case, order could return 2 instances of SQL::Statement::Order. You can use the methods $o->table(), $o->column() and $o->desc() to examine the order object.
order
$o->table()
$o->column()
$o->desc()
my $l = $stmt->limit(); if ($l) { my $offset = $l->offset(); my $limit = $l->limit(); }
In a SELECT statement you can use a LIMIT clause to implement cursoring:
LIMIT
SELECT * FROM FOO LIMIT 5 SELECT * FROM FOO LIMIT 5, 5 SELECT * FROM FOO LIMIT 10, 5
These three statements would retrieve the rows 0..4, 5..9, 10..14 of the table FOO, respectively. If no LIMIT clause is used, then the method $stmt->limit returns undef. Otherwise it returns an instance of SQL::Statement::Limit. This object has the methods offset and limit to retrieve the index of the first row and the maximum number of rows, respectively.
$stmt->limit
offset
limit
my $where = $stmt->where();
This method is used to examine the syntax tree of the WHERE clause. It returns undef (if no WHERE clause was used) or an instance of SQL::Statement::Op. The Op instance offers 4 methods:
WHERE
returns the operator, one of AND, OR, =, <>, >=, >, <=, <, LIKE, CLIKE or IS.
AND
OR
=
<>
>=
>
<=
<
LIKE
CLIKE
IS
returns the left-hand and right-hand sides of the operator. This can be a scalar value, an SQL::Statement::Param object or yet another SQL::Statement::Op instance.
returns a TRUE value, if the operation result must be negated after evalution.
To evaluate the WHERE clause, fetch the topmost Op instance with the where method. Then evaluate the left-hand and right-hand side of the operation, perhaps recursively. Once that is done, apply the operator and finally negate the result, if required.
where
To illustrate the above, consider the following WHERE clause:
WHERE NOT (id > 2 AND name = 'joe') OR name IS NULL
We can represent this clause by the following tree:
(id > 2) (name = 'joe') \ / NOT AND \ (name IS NULL) \ / OR
Thus the WHERE clause would return an SQL::Statement::Op instance with the op() field set to 'OR'. The arg2() field would return another SQL::Statement::Op instance with arg1() being the SQL::Statement::Column instance representing id, the arg2() field containing the value undef (NULL) and the op() field being 'IS'.
The arg1() field of the topmost Op instance would return an Op instance with op() eq 'AND' and neg() returning TRUE. The arg1() and arg2() fields would be Op's representing "id > 2" and "name = 'joe'".
Of course there's a ready-for-use method for WHERE clause evaluation:
The WHERE clause evaluation depends on an object being used for fetching parameter and column values. Usually this can be an SQL::Eval object, but in fact it can be any object that supplies the methods
$val = $eval->param($paramNum); $val = $eval->column($table, $column);
See SQL::Eval for a detailed description of these methods. Once you have such an object, you can call a
$match = $stmt->eval_where($eval);
So far all methods have been concrete. However, the interface for executing and evaluating queries is abstract. That means, for using them you have to derive a subclass from SQL::Statement that implements at least certain missing methods and/or overwrites others. See the test.pl script for an example subclass.
test.pl
Something that all methods have in common is that they simply throw a Perl exception in case of errors.
After creating a statement, you must execute it by calling the execute method. Usually you put an eval statement around this call:
execute
$@ = ''; my $rows = eval { $self->execute($data); }; if ($@) { die "An error occurred!"; }
In case of success the method returns the number of affected rows or -1, if unknown. Additionally it sets the attributes
$self->{'NUM_OF_FIELDS'} $self->{'NUM_OF_ROWS'} $self->{'data'}
the latter being an array ref of result rows. The argument $data is for private use by concrete subclasses and will be passed through to all methods. (It is intentionally not implemented as attribute: Otherwise we might well become self referencing data structures which could prevent garbage collection.)
Called by execute for doing the real work. Usually they create an SQL::Eval object by calling $self->open_tables(), call $self->verify_columns() and then do their job. Finally they return the triple
$self->open_tables()
$self->verify_columns()
($self->{'NUM_OF_ROWS'}, $self->{'NUM_OF_FIELDS'}, $self->{'data'})
so that execute can setup these attributes. Example:
($self->{'NUM_OF_ROWS'}, $self->{'NUM_OF_FIELDS'}, $self->{'data'}) = $self->SELECT($data);
Called for verifying the row names that are used in the statement. Example:
$self->verify_columns($eval, $data);
Called for creating an SQL::Eval object. In fact what it returns doesn't need to be derived from SQL::Eval, it's completely sufficient to implement the same interface of methods. See SQL::Eval for details. The arguments $data, $createMode and $lockMode are corresponding to those of SQL::Eval::Table::open_table and usually passed through. Example:
$data
$createMode
$lockMode
my $eval = $self->open_tables($data, $createMode, $lockMode);
The eval object can be used for calling $self-verify_columns> or $self-eval_where>.
$self-
This method is completely abstract and *must* be implemented by subclasses. The default implementation of $self-open_tables> calls this method for any table used by the statement. See the test.pl script for an example of imlplementing a subclass.
The SQL::Statement module is far away from ANSI SQL or something similar, it is designed for implementing the DBD::CSV module. See DBD::CSV(3).
I do not want to give a formal grammar here, more an informal description: Read the statement definition in sql_yacc.y, if you need something precise.
The main lexical elements of the grammar are:
Syntax obvious
Surrounded by either single or double quotes; some characters need to be escaped with a backslash, in particular the backslash itself (\\), the NUL byte (\0), Line feeds (\n), Carriage return (\r), and the quotes (\' or \").
Parameters represent scalar values, like Integers, Reals and Strings do. However, their values are read inside Execute() and not inside Prepare(). Parameters are represented by question marks (?).
Identifiers are table or column names. Syntactically they consist of alphabetic characters, followed by an arbitrary number of alphanumeric characters. Identifiers like SELECT, INSERT, INTO, ORDER, BY, WHERE, ... are forbidden and reserved for other tokens.
What it offers is the following:
This is the CREATE TABLE command:
CREATE TABLE $table ( $col1 $type1, ..., $colN $typeN, [ PRIMARY KEY ($col1, ... $colM) ] )
The column names are $col1, ... $colN. The column types can be INTEGER, CHAR(n), VARCHAR(n), REAL or BLOB. These types are currently completely ignored. So is the (optional) PRIMARY KEY clause.
INTEGER
CHAR(n)
VARCHAR(n)
REAL
BLOB
PRIMARY KEY
Very simple:
DROP TABLE $table
This can be
INSERT INTO $table [ ( $col1, ..., $colN ) ] VALUES ( $val1, ... $valN )
DELETE FROM $table [ WHERE $where_clause ]
See SELECT below for a decsription of $where_clause
UPDATE $table SET $col1 = $val1, ... $colN = $valN [ WHERE $where_clause ]
SELECT [DISTINCT] $col1, ... $colN FROM $table [ WHERE $where_clause ] [ ORDER BY $ocol1, ... $ocolM ]
The $where_clause is based on boolean expressions of the form $val1 $op $val2, with $op being one of '=', '<>', '>', '<', '>=', '<=', 'LIKE', 'CLIKE' or IS. You may use OR, AND and brackets to combine such boolean expressions or NOT to negate them.
For the moment, just unpack the tarball in a private directory. For the moment, I suggest this be somewhere other than where you store your current SQL::Statement and you use this version by a "use lib" referencing the private directory where you unpack it.
There's no Makefile at this time.
Internally the module is splitted into three parts:
This part, contained in the files sql_yacc.y, sql_data.h, sql_data.c and sql_op.c, is completely independent from Perl. It might well be used from within another script language, Tcl say, or from a true C application.
sql_yacc.y
sql_data.h
sql_data.c
sql_op.c
You probably ask, why Perl independence? Well, first of all, I think this is a valuable target in itself. But the main reason was the impossibility to use the Perl headers inside bison generated code. The Perl headers export almost the complete Yacc interface to XS, for whatever reason, thus redefining constants and structures created by your own bison code. :-(
This is contained in Statement.xs. The both C parts communicate via a C structure sql_stmt_t. In fact, an SQL::Statement object is nothing else than a pointer to such a structure. The XS calls columns(), Table(), where(), ... do nothing more than fetching data from this structure and converting it to Perl objects. See "The sql_stmt_t structure" below for details on the structure.
Statement.xs
Besides some stub functions for retrieving statement data, this is mainly the query processing with the exception of WHERE clause evaluation.
This structure is designed for optimal performance. A typical query will be parsed with only 4 or 5 malloc() calls; in particular no memory will be aquired for storing strings; only pointers into the query string are used.
The statement stores its tokens in the values array. The array elements are of type sql_val_t, a union, that can represent the most interesting tokens; for example integers and reals are stored in the data.i and data.d parts of the union, strings are stored in the data.str part, columns in the data.col part and so on. Arrays are allocated in chunks of 64 elements, thus a single malloc() will be usually sufficient for allocating the complete array. Some types use pointers into the values array: For example, operations are stored in an sql_op_t structure that containes elements arg1 and arg2 which are pointers into the value table, pointing to other operations or scalars. These pointers are stored as indices, so that the array can be extended using realloc().
The sql_stmt_t structure contains other arrays: columns, tables, rowvals, order, ... representing the data returned by the columns(), tables(), row_values() and order() methods. All of these contain pointers into the values array, again stored as integers.
Arrays are initialized with the _InitArray call in SQL_Statement_Prepare and deallocated with _DestroyArray in SQL_Statement_Destroy. Array elements are obtained by calling _AllocData, which returns an index. The number -1 is used for errors or as a NULL value.
A WHERE clause is evaluated by calling SQL_Statement_EvalWhere(). This function is in the Perl independent part, but it needs the possibility to retrieve data from the Perl part, for example column or parameter values. These values are retrieved via callbacks, stored in the sql_eval_t structure. The field stmt->evalData points to such a structure. Of course the calling method can extend the sql_eval_t structure (like eval_where in Statement.xs does) to include private data not used by SQL_Statement_EvalWhere.
Different parsers are implemented via the sql_parser_t structure. This is mainly a set of yes/no flags. If you'd like to add features, do the following:
First of all, extend the sql_parser_t structure. If your feature is part of a certain statement, place it into the statements section, for example "select.join". Otherwise choose a section like "misc" or "general". (There's no particular for the section design, but structure never hurts.)
Second, add your feature to sql_yacc.y. If your feature needs to extend the lexer, do it like this:
if (FEATURE(misc, myfeature) { /* Scan your new symbols */ ... }
See the BOOL symbol as an example.
If you need to extend the parser, do it like this:
my_new_rule: /* NULL, old behaviour, doesn't use my feature */ | my_feature { YFEATURE(misc, myfeature); } ;
Thus all parsers not having FEATURE(misc, myfeature) set will produce a parse error here. Again, see the BOOL symbol for an example.
Third thing is to extend the builtin parsers. If they support your feature, add a 1, otherwise a 0. Currently there are two builtin parsers: The ansiParser in sql_yacc.y and the sqlEvalParser in Statement.xs.
Finally add support for your feature to the feature method in Statement.xs. That's it!
feature
The complete module code is reentrant. In particular the parser is created with %pure_parser. See bison(1) for details on reentrant parsers. That means, the module is ready for multithreading, as long as you don't share handles between threads. Read-only handles, for example parsers, can even be shared.
%pure_parser
Statement handles cannot be shared among threads, at least not, if you don't grant serialized access. Per-thread handles are always safe.
The original version of this module is Copyright (C) 1998 by
Jochen Wiedmann Am Eisteich 9 72555 Metzingen Germany Email: joe@ispsoft.de Phone: +49 7123 14887
The current version is Copyright (c) 2001 by
Jeff Zucker Email: jeff@vpservices.com
All rights reserved.
You may distribute this module under the terms of either the GNU General Public License or the Artistic License, as specified in the Perl README file.
DBI(3), DBD::CSV(3), DBD::AnyData
To install SQL::Statement, copy and paste the appropriate command in to your terminal.
cpanm
cpanm SQL::Statement
CPAN shell
perl -MCPAN -e shell install SQL::Statement
For more information on module installation, please visit the detailed CPAN module installation guide.