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NAMESQL::Abstract - Generate SQL from Perl data structuresSYNOPSISuse SQL::Abstract; my $sql = SQL::Abstract->new; my($stmt, @bind) = $sql->select($source, \@fields, \%where, $order); my($stmt, @bind) = $sql->insert($table, \%fieldvals || \@values); my($stmt, @bind) = $sql->update($table, \%fieldvals, \%where); my($stmt, @bind) = $sql->delete($table, \%where); # Then, use these in your DBI statements my $sth = $dbh->prepare($stmt); $sth->execute(@bind); # Just generate the WHERE clause my($stmt, @bind) = $sql->where(\%where, $order); # Return values in the same order, for hashed queries # See PERFORMANCE section for more details my @bind = $sql->values(\%fieldvals); DESCRIPTIONThis module was inspired by the excellent DBIx::Abstract. However, in using that module I found that what I really wanted to do was generate SQL, but still retain complete control over my statement handles and use the DBI interface. So, I set out to create an abstract SQL generation module.While based on the concepts used by DBIx::Abstract, there are several important differences, especially when it comes to WHERE clauses. I have modified the concepts used to make the SQL easier to generate from Perl data structures and, IMO, more intuitive. The underlying idea is for this module to do what you mean, based on the data structures you provide it. The big advantage is that you don't have to modify your code every time your data changes, as this module figures it out. To begin with, an SQL INSERT is as easy as just specifying a hash of "key=value" pairs: my %data = ( name => 'Jimbo Bobson', phone => '123-456-7890', address => '42 Sister Lane', city => 'St. Louis', state => 'Louisiana', ); The SQL can then be generated with this: my($stmt, @bind) = $sql->insert('people', \%data); Which would give you something like this: $stmt = "INSERT INTO people (address, city, name, phone, state) VALUES (?, ?, ?, ?, ?)"; @bind = ('42 Sister Lane', 'St. Louis', 'Jimbo Bobson', '123-456-7890', 'Louisiana'); These are then used directly in your DBI code: my $sth = $dbh->prepare($stmt); $sth->execute(@bind); Inserting and Updating ArraysIf your database has array types (like for example Postgres), activate the special option "array_datatypes => 1" when creating the "SQL::Abstract" object. Then you may use an arrayref to insert and update database array types:my $sql = SQL::Abstract->new(array_datatypes => 1); my %data = ( planets => [qw/Mercury Venus Earth Mars/] ); my($stmt, @bind) = $sql->insert('solar_system', \%data); This results in: $stmt = "INSERT INTO solar_system (planets) VALUES (?)" @bind = (['Mercury', 'Venus', 'Earth', 'Mars']); Inserting and Updating SQLIn order to apply SQL functions to elements of your %data you may specify a reference to an arrayref for the given hash value. For example, if you need to execute the Oracle "to_date" function on a value, you can say something like this:my %data = ( name => 'Bill', date_entered => \[ "to_date(?,'MM/DD/YYYY')", "03/02/2003" ], ); The first value in the array is the actual SQL. Any other values are optional and would be included in the bind values array. This gives you: my($stmt, @bind) = $sql->insert('people', \%data); $stmt = "INSERT INTO people (name, date_entered) VALUES (?, to_date(?,'MM/DD/YYYY'))"; @bind = ('Bill', '03/02/2003'); An UPDATE is just as easy, all you change is the name of the function: my($stmt, @bind) = $sql->update('people', \%data); Notice that your %data isn't touched; the module will generate the appropriately quirky SQL for you automatically. Usually you'll want to specify a WHERE clause for your UPDATE, though, which is where handling %where hashes comes in handy... Complex where statementsThis module can generate pretty complicated WHERE statements easily. For example, simple "key=value" pairs are taken to mean equality, and if you want to see if a field is within a set of values, you can use an arrayref. Let's say we wanted to SELECT some data based on this criteria:my %where = ( requestor => 'inna', worker => ['nwiger', 'rcwe', 'sfz'], status => { '!=', 'completed' } ); my($stmt, @bind) = $sql->select('tickets', '*', \%where); The above would give you something like this: $stmt = "SELECT * FROM tickets WHERE ( requestor = ? ) AND ( status != ? ) AND ( worker = ? OR worker = ? OR worker = ? )"; @bind = ('inna', 'completed', 'nwiger', 'rcwe', 'sfz'); Which you could then use in DBI code like so: my $sth = $dbh->prepare($stmt); $sth->execute(@bind); Easy, eh? METHODSThe methods are simple. There's one for every major SQL operation, and a constructor you use first. The arguments are specified in a similar order for each method (table, then fields, then a where clause) to try and simplify things.new(option => 'value')The "new()" function takes a list of options and values, and returns a new SQL::Abstract object which can then be used to generate SQL through the methods below. The options accepted are:
insert($table, \@values || \%fieldvals, \%options)This is the simplest function. You simply give it a table name and either an arrayref of values or hashref of field/value pairs. It returns an SQL INSERT statement and a list of bind values. See the sections on "Inserting and Updating Arrays" and "Inserting and Updating SQL" for information on how to insert with those data types.The optional "\%options" hash reference may contain additional options to generate the insert SQL. Currently supported options are:
update($table, \%fieldvals, \%where, \%options)This takes a table, hashref of field/value pairs, and an optional hashref WHERE clause. It returns an SQL UPDATE function and a list of bind values. See the sections on "Inserting and Updating Arrays" and "Inserting and Updating SQL" for information on how to insert with those data types.The optional "\%options" hash reference may contain additional options to generate the update SQL. Currently supported options are:
select($source, $fields, $where, $order)This returns a SQL SELECT statement and associated list of bind values, as specified by the arguments:
delete($table, \%where, \%options)This takes a table name and optional hashref WHERE clause. It returns an SQL DELETE statement and list of bind values.The optional "\%options" hash reference may contain additional options to generate the delete SQL. Currently supported options are:
where(\%where, $order)This is used to generate just the WHERE clause. For example, if you have an arbitrary data structure and know what the rest of your SQL is going to look like, but want an easy way to produce a WHERE clause, use this. It returns an SQL WHERE clause and list of bind values.values(\%data)This just returns the values from the hash %data, in the same order that would be returned from any of the other above queries. Using this allows you to markedly speed up your queries if you are affecting lots of rows. See below under the "PERFORMANCE" section.generate($any, 'number', $of, \@data, $struct, \%types)Warning: This is an experimental method and subject to change.This returns arbitrarily generated SQL. It's a really basic shortcut. It will return two different things, depending on return context: my($stmt, @bind) = $sql->generate('create table', \$table, \@fields); my $stmt_and_val = $sql->generate('create table', \$table, \@fields); These would return the following: # First calling form $stmt = "CREATE TABLE test (?, ?)"; @bind = (field1, field2); # Second calling form $stmt_and_val = "CREATE TABLE test (field1, field2)"; Depending on what you're trying to do, it's up to you to choose the correct format. In this example, the second form is what you would want. By the same token: $sql->generate('alter session', { nls_date_format => 'MM/YY' }); Might give you: ALTER SESSION SET nls_date_format = 'MM/YY' You get the idea. Strings get their case twiddled, but everything else remains verbatim. EXPORTABLE FUNCTIONSis_plain_valueDetermines if the supplied argument is a plain value as understood by this module:
On failure returns "undef", on success returns a scalar reference to the original supplied argument.
is_literal_valueDetermines if the supplied argument is a literal value as understood by this module:
On failure returns "undef", on success returns an array reference containing the unpacked version of the supplied literal SQL and bind values. is_undef_valueTests for undef, whether expanded or not.WHERE CLAUSESIntroductionThis module uses a variation on the idea from DBIx::Abstract. It is NOT, repeat not 100% compatible. The main logic of this module is that things in arrays are OR'ed, and things in hashes are AND'ed.The easiest way to explain is to show lots of examples. After each %where hash shown, it is assumed you used: my($stmt, @bind) = $sql->where(\%where); However, note that the %where hash can be used directly in any of the other functions as well, as described above. Key-value pairsSo, let's get started. To begin, a simple hash:my %where = ( user => 'nwiger', status => 'completed' ); Is converted to SQL "key = val" statements: $stmt = "WHERE user = ? AND status = ?"; @bind = ('nwiger', 'completed'); One common thing I end up doing is having a list of values that a field can be in. To do this, simply specify a list inside of an arrayref: my %where = ( user => 'nwiger', status => ['assigned', 'in-progress', 'pending']; ); This simple code will create the following: $stmt = "WHERE user = ? AND ( status = ? OR status = ? OR status = ? )"; @bind = ('nwiger', 'assigned', 'in-progress', 'pending'); A field associated to an empty arrayref will be considered a logical false and will generate 0=1. Tests for NULL valuesIf the value part is "undef" then this is converted to SQL <IS NULL>my %where = ( user => 'nwiger', status => undef, ); becomes: $stmt = "WHERE user = ? AND status IS NULL"; @bind = ('nwiger'); To test if a column IS NOT NULL: my %where = ( user => 'nwiger', status => { '!=', undef }, ); Specific comparison operatorsIf you want to specify a different type of operator for your comparison, you can use a hashref for a given column:my %where = ( user => 'nwiger', status => { '!=', 'completed' } ); Which would generate: $stmt = "WHERE user = ? AND status != ?"; @bind = ('nwiger', 'completed'); To test against multiple values, just enclose the values in an arrayref: status => { '=', ['assigned', 'in-progress', 'pending'] }; Which would give you: "WHERE status = ? OR status = ? OR status = ?" The hashref can also contain multiple pairs, in which case it is expanded into an "AND" of its elements: my %where = ( user => 'nwiger', status => { '!=', 'completed', -not_like => 'pending%' } ); # Or more dynamically, like from a form $where{user} = 'nwiger'; $where{status}{'!='} = 'completed'; $where{status}{'-not_like'} = 'pending%'; # Both generate this $stmt = "WHERE user = ? AND status != ? AND status NOT LIKE ?"; @bind = ('nwiger', 'completed', 'pending%'); To get an OR instead, you can combine it with the arrayref idea: my %where => ( user => 'nwiger', priority => [ { '=', 2 }, { '>', 5 } ] ); Which would generate: $stmt = "WHERE ( priority = ? OR priority > ? ) AND user = ?"; @bind = ('2', '5', 'nwiger'); If you want to include literal SQL (with or without bind values), just use a scalar reference or reference to an arrayref as the value: my %where = ( date_entered => { '>' => \["to_date(?, 'MM/DD/YYYY')", "11/26/2008"] }, date_expires => { '<' => \"now()" } ); Which would generate: $stmt = "WHERE date_entered > to_date(?, 'MM/DD/YYYY') AND date_expires < now()"; @bind = ('11/26/2008'); Logic and nesting operatorsIn the example above, there is a subtle trap if you want to say something like this (notice the "AND"):WHERE priority != ? AND priority != ? Because, in Perl you can't do this: priority => { '!=' => 2, '!=' => 1 } As the second "!=" key will obliterate the first. The solution is to use the special "-modifier" form inside an arrayref: priority => [ -and => {'!=', 2}, {'!=', 1} ] Normally, these would be joined by "OR", but the modifier tells it to use "AND" instead. (Hint: You can use this in conjunction with the "logic" option to "new()" in order to change the way your queries work by default.) Important: Note that the "-modifier" goes INSIDE the arrayref, as an extra first element. This will NOT do what you think it might: priority => -and => [{'!=', 2}, {'!=', 1}] # WRONG! Here is a quick list of equivalencies, since there is some overlap: # Same status => {'!=', 'completed', 'not like', 'pending%' } status => [ -and => {'!=', 'completed'}, {'not like', 'pending%'}] # Same status => {'=', ['assigned', 'in-progress']} status => [ -or => {'=', 'assigned'}, {'=', 'in-progress'}] status => [ {'=', 'assigned'}, {'=', 'in-progress'} ] Special operators: IN, BETWEEN, etc.You can also use the hashref format to compare a list of fields using the "IN" comparison operator, by specifying the list as an arrayref:my %where = ( status => 'completed', reportid => { -in => [567, 2335, 2] } ); Which would generate: $stmt = "WHERE status = ? AND reportid IN (?,?,?)"; @bind = ('completed', '567', '2335', '2'); The reverse operator "-not_in" generates SQL "NOT IN" and is used in the same way. If the argument to "-in" is an empty array, 'sqlfalse' is generated (by default: "1=0"). Similarly, "-not_in => []" generates 'sqltrue' (by default: "1=1"). In addition to the array you can supply a chunk of literal sql or literal sql with bind: my %where = { customer => { -in => \[ 'SELECT cust_id FROM cust WHERE balance > ?', 2000, ], status => { -in => \'SELECT status_codes FROM states' }, }; would generate: $stmt = "WHERE ( customer IN ( SELECT cust_id FROM cust WHERE balance > ? ) AND status IN ( SELECT status_codes FROM states ) )"; @bind = ('2000'); Finally, if the argument to "-in" is not a reference, it will be treated as a single-element array. Another pair of operators is "-between" and "-not_between", used with an arrayref of two values: my %where = ( user => 'nwiger', completion_date => { -not_between => ['2002-10-01', '2003-02-06'] } ); Would give you: WHERE user = ? AND completion_date NOT BETWEEN ( ? AND ? ) Just like with "-in" all plausible combinations of literal SQL are possible: my %where = { start0 => { -between => [ 1, 2 ] }, start1 => { -between => \["? AND ?", 1, 2] }, start2 => { -between => \"lower(x) AND upper(y)" }, start3 => { -between => [ \"lower(x)", \["upper(?)", 'stuff' ], ] }, }; Would give you: $stmt = "WHERE ( ( start0 BETWEEN ? AND ? ) AND ( start1 BETWEEN ? AND ? ) AND ( start2 BETWEEN lower(x) AND upper(y) ) AND ( start3 BETWEEN lower(x) AND upper(?) ) )"; @bind = (1, 2, 1, 2, 'stuff'); These are the two builtin "special operators"; but the list can be expanded: see section "SPECIAL OPERATORS" below. Unary operators: boolIf you wish to test against boolean columns or functions within your database you can use the "-bool" and "-not_bool" operators. For example to test the column "is_user" being true and the column "is_enabled" being false you would use:-my %where = ( -bool => 'is_user', -not_bool => 'is_enabled', ); Would give you: WHERE is_user AND NOT is_enabled If a more complex combination is required, testing more conditions, then you should use the and/or operators:- my %where = ( -and => [ -bool => 'one', -not_bool => { two=> { -rlike => 'bar' } }, -not_bool => { three => [ { '=', 2 }, { '>', 5 } ] }, ], ); Would give you: WHERE one AND (NOT two RLIKE ?) AND (NOT ( three = ? OR three > ? )) Nested conditions, -and/-or prefixesSo far, we've seen how multiple conditions are joined with a top-level "AND". We can change this by putting the different conditions we want in hashes and then putting those hashes in an array. For example:my @where = ( { user => 'nwiger', status => { -like => ['pending%', 'dispatched'] }, }, { user => 'robot', status => 'unassigned', } ); This data structure would create the following: $stmt = "WHERE ( user = ? AND ( status LIKE ? OR status LIKE ? ) ) OR ( user = ? AND status = ? ) )"; @bind = ('nwiger', 'pending', 'dispatched', 'robot', 'unassigned'); Clauses in hashrefs or arrayrefs can be prefixed with an "-and" or "-or" to change the logic inside: my @where = ( -and => [ user => 'nwiger', [ -and => [ workhrs => {'>', 20}, geo => 'ASIA' ], -or => { workhrs => {'<', 50}, geo => 'EURO' }, ], ], ); That would yield: $stmt = "WHERE ( user = ? AND ( ( workhrs > ? AND geo = ? ) OR ( workhrs < ? OR geo = ? ) ) )"; @bind = ('nwiger', '20', 'ASIA', '50', 'EURO'); Algebraic inconsistency, for historical reasons "Important note": when connecting several conditions, the "-and-"|"-or" operator goes "outside" of the nested structure; whereas when connecting several constraints on one column, the "-and" operator goes "inside" the arrayref. Here is an example combining both features: my @where = ( -and => [a => 1, b => 2], -or => [c => 3, d => 4], e => [-and => {-like => 'foo%'}, {-like => '%bar'} ] ) yielding WHERE ( ( ( a = ? AND b = ? ) OR ( c = ? OR d = ? ) OR ( e LIKE ? AND e LIKE ? ) ) ) This difference in syntax is unfortunate but must be preserved for historical reasons. So be careful: the two examples below would seem algebraically equivalent, but they are not { col => [ -and => { -like => 'foo%' }, { -like => '%bar' }, ] } # yields: WHERE ( ( col LIKE ? AND col LIKE ? ) ) [ -and => { col => { -like => 'foo%' } }, { col => { -like => '%bar' } }, ] # yields: WHERE ( ( col LIKE ? OR col LIKE ? ) ) Literal SQL and value type operatorsThe basic premise of SQL::Abstract is that in WHERE specifications the "left side" is a column name and the "right side" is a value (normally rendered as a placeholder). This holds true for both hashrefs and arrayref pairs as you see in the "WHERE CLAUSES" examples above. Sometimes it is necessary to alter this behavior. There are several ways of doing so.-ident This is a virtual operator that signals the string to its right side is an identifier (a column name) and not a value. For example to compare two columns you would write: my %where = ( priority => { '<', 2 }, requestor => { -ident => 'submitter' }, ); which creates: $stmt = "WHERE priority < ? AND requestor = submitter"; @bind = ('2'); If you are maintaining legacy code you may see a different construct as described in "Deprecated usage of Literal SQL", please use "-ident" in new code. -value This is a virtual operator that signals that the construct to its right side is a value to be passed to DBI. This is for example necessary when you want to write a where clause against an array (for RDBMS that support such datatypes). For example: my %where = ( array => { -value => [1, 2, 3] } ); will result in: $stmt = 'WHERE array = ?'; @bind = ([1, 2, 3]); Note that if you were to simply say: my %where = ( array => [1, 2, 3] ); the result would probably not be what you wanted: $stmt = 'WHERE array = ? OR array = ? OR array = ?'; @bind = (1, 2, 3); Literal SQL Finally, sometimes only literal SQL will do. To include a random snippet of SQL verbatim, you specify it as a scalar reference. Consider this only as a last resort. Usually there is a better way. For example: my %where = ( priority => { '<', 2 }, requestor => { -in => \'(SELECT name FROM hitmen)' }, ); Would create: $stmt = "WHERE priority < ? AND requestor IN (SELECT name FROM hitmen)" @bind = (2); Note that in this example, you only get one bind parameter back, since the verbatim SQL is passed as part of the statement. CAVEAT Never use untrusted input as a literal SQL argument - this is a massive security risk (there is no way to check literal snippets for SQL injections and other nastyness). If you need to deal with untrusted input use literal SQL with placeholders as described next. Literal SQL with placeholders and bind values (subqueries) If the literal SQL to be inserted has placeholders and bind values, use a reference to an arrayref (yes this is a double reference -- not so common, but perfectly legal Perl). For example, to find a date in Postgres you can use something like this: my %where = ( date_column => \[ "= date '2008-09-30' - ?::integer", 10 ] ) This would create: $stmt = "WHERE ( date_column = date '2008-09-30' - ?::integer )" @bind = ('10'); Note that you must pass the bind values in the same format as they are returned by where. This means that if you set "bindtype" to "columns", you must provide the bind values in the "[ column_meta => value ]" format, where "column_meta" is an opaque scalar value; most commonly the column name, but you can use any scalar value (including references and blessed references), SQL::Abstract will simply pass it through intact. So if "bindtype" is set to "columns" the above example will look like: my %where = ( date_column => \[ "= date '2008-09-30' - ?::integer", [ {} => 10 ] ] ) Literal SQL is especially useful for nesting parenthesized clauses in the main SQL query. Here is a first example: my ($sub_stmt, @sub_bind) = ("SELECT c1 FROM t1 WHERE c2 < ? AND c3 LIKE ?", 100, "foo%"); my %where = ( foo => 1234, bar => \["IN ($sub_stmt)" => @sub_bind], ); This yields: $stmt = "WHERE (foo = ? AND bar IN (SELECT c1 FROM t1 WHERE c2 < ? AND c3 LIKE ?))"; @bind = (1234, 100, "foo%"); Other subquery operators, like for example "> ALL" or "NOT IN", are expressed in the same way. Of course the $sub_stmt and its associated bind values can be generated through a former call to "select()" : my ($sub_stmt, @sub_bind) = $sql->select("t1", "c1", {c2 => {"<" => 100}, c3 => {-like => "foo%"}}); my %where = ( foo => 1234, bar => \["> ALL ($sub_stmt)" => @sub_bind], ); In the examples above, the subquery was used as an operator on a column; but the same principle also applies for a clause within the main %where hash, like an EXISTS subquery: my ($sub_stmt, @sub_bind) = $sql->select("t1", "*", {c1 => 1, c2 => \"> t0.c0"}); my %where = ( -and => [ foo => 1234, \["EXISTS ($sub_stmt)" => @sub_bind], ]); which yields $stmt = "WHERE (foo = ? AND EXISTS (SELECT * FROM t1 WHERE c1 = ? AND c2 > t0.c0))"; @bind = (1234, 1); Observe that the condition on "c2" in the subquery refers to column "t0.c0" of the main query: this is not a bind value, so we have to express it through a scalar ref. Writing "c2 => {">" => "t0.c0"}" would have generated "c2 > ?" with bind value "t0.c0" ... not exactly what we wanted here. Finally, here is an example where a subquery is used for expressing unary negation: my ($sub_stmt, @sub_bind) = $sql->where({age => [{"<" => 10}, {">" => 20}]}); $sub_stmt =~ s/^ where //i; # don't want "WHERE" in the subclause my %where = ( lname => {like => '%son%'}, \["NOT ($sub_stmt)" => @sub_bind], ); This yields $stmt = "lname LIKE ? AND NOT ( age < ? OR age > ? )" @bind = ('%son%', 10, 20) Deprecated usage of Literal SQL Below are some examples of archaic use of literal SQL. It is shown only as reference for those who deal with legacy code. Each example has a much better, cleaner and safer alternative that users should opt for in new code.
ConclusionThese pages could go on for a while, since the nesting of the data structures this module can handle are pretty much unlimited (the module implements the "WHERE" expansion as a recursive function internally). Your best bet is to "play around" with the module a little to see how the data structures behave, and choose the best format for your data based on that.And of course, all the values above will probably be replaced with variables gotten from forms or the command line. After all, if you knew everything ahead of time, you wouldn't have to worry about dynamically-generating SQL and could just hardwire it into your script. ORDER BY CLAUSESSome functions take an order by clause. This can either be a scalar (just a column name), a hashref of "{ -desc => 'col' }" or "{ -asc => 'col' }", a scalarref, an arrayref-ref, or an arrayref of any of the previous forms. Examples:Given | Will Generate --------------------------------------------------------------- | 'colA' | ORDER BY colA | [qw/colA colB/] | ORDER BY colA, colB | {-asc => 'colA'} | ORDER BY colA ASC | {-desc => 'colB'} | ORDER BY colB DESC | ['colA', {-asc => 'colB'}] | ORDER BY colA, colB ASC | { -asc => [qw/colA colB/] } | ORDER BY colA ASC, colB ASC | \'colA DESC' | ORDER BY colA DESC | \[ 'FUNC(colA, ?)', $x ] | ORDER BY FUNC(colA, ?) | /* ...with $x bound to ? */ | [ | ORDER BY { -asc => 'colA' }, | colA ASC, { -desc => [qw/colB/] }, | colB DESC, { -asc => [qw/colC colD/] },| colC ASC, colD ASC, \'colE DESC', | colE DESC, \[ 'FUNC(colF, ?)', $x ], | FUNC(colF, ?) ] | /* ...with $x bound to ? */ =============================================================== OLD EXTENSION SYSTEMSPECIAL OPERATORSmy $sqlmaker = SQL::Abstract->new(special_ops => [ { regex => qr/.../, handler => sub { my ($self, $field, $op, $arg) = @_; ... }, }, { regex => qr/.../, handler => 'method_name', }, ]); A "special operator" is a SQL syntactic clause that can be applied to a field, instead of a usual binary operator. For example: WHERE field IN (?, ?, ?) WHERE field BETWEEN ? AND ? WHERE MATCH(field) AGAINST (?, ?) Special operators IN and BETWEEN are fairly standard and therefore are builtin within "SQL::Abstract" (as the overridable methods "_where_field_IN" and "_where_field_BETWEEN"). For other operators, like the MATCH .. AGAINST example above which is specific to MySQL, you can write your own operator handlers - supply a "special_ops" argument to the "new" method. That argument takes an arrayref of operator definitions; each operator definition is a hashref with two entries:
For example, here is an implementation of the MATCH .. AGAINST syntax for MySQL my $sqlmaker = SQL::Abstract->new(special_ops => [ # special op for MySql MATCH (field) AGAINST(word1, word2, ...) {regex => qr/^match$/i, handler => sub { my ($self, $field, $op, $arg) = @_; $arg = [$arg] if not ref $arg; my $label = $self->_quote($field); my ($placeholder) = $self->_convert('?'); my $placeholders = join ", ", (($placeholder) x @$arg); my $sql = $self->_sqlcase('match') . " ($label) " . $self->_sqlcase('against') . " ($placeholders) "; my @bind = $self->_bindtype($field, @$arg); return ($sql, @bind); } }, ]); UNARY OPERATORSmy $sqlmaker = SQL::Abstract->new(unary_ops => [ { regex => qr/.../, handler => sub { my ($self, $op, $arg) = @_; ... }, }, { regex => qr/.../, handler => 'method_name', }, ]); A "unary operator" is a SQL syntactic clause that can be applied to a field - the operator goes before the field You can write your own operator handlers - supply a "unary_ops" argument to the "new" method. That argument takes an arrayref of operator definitions; each operator definition is a hashref with two entries:
NEW METHODS (EXPERIMENTAL)See SQL::Abstract::Reference for the "expr" versus "aqt" concept and an explanation of what the below extensions are extending.plugin$sqla->plugin('+Foo'); Enables plugin SQL::Abstract::Plugin::Foo. render_exprmy ($sql, @bind) = $sqla->render_expr($expr); render_statementUse this if you may be rendering a top level statement so e.g. a SELECT query doesn't get wrapped in parensmy ($sql, @bind) = $sqla->render_statement($expr); expand_exprExpression expansion with optional default for scalars.my $aqt = $self->expand_expr($expr); my $aqt = $self->expand_expr($expr, -ident); render_aqtTop level means avoid parens on statement AQT.my $res = $self->render_aqt($aqt, $top_level); my ($sql, @bind) = @$res; join_query_partsSimilar to join() but will render hashrefs as nodes for both join and parts, and treats arrayref as a nested "[ $join, @parts ]" structure.my $part = $self->join_query_parts($join, @parts); NEW EXTENSION SYSTEMclonemy $sqla2 = $sqla->clone; Performs a semi-shallow copy such that extension methods won't leak state but excessive depth is avoided. expanderexpandersop_expanderop_expandersclause_expanderclause_expanders$sqla->expander('name' => sub { ... }); $sqla->expanders('name1' => sub { ... }, 'name2' => sub { ... }); expander_listop_expander_listclause_expander_listmy @names = $sqla->expander_list; wrap_expanderwrap_expanderswrap_op_expanderwrap_op_expanderswrap_clause_expanderwrap_clause_expanders$sqla->wrap_expander('name' => sub { my ($orig) = @_; sub { ... } }); $sqla->wrap_expanders( 'name1' => sub { my ($orig1) = @_; sub { ... } }, 'name2' => sub { my ($orig2) = @_; sub { ... } }, ); rendererrenderersop_rendererop_renderersclause_rendererclause_renderers$sqla->renderer('name' => sub { ... }); $sqla->renderers('name1' => sub { ... }, 'name2' => sub { ... }); renderer_listop_renderer_listclause_renderer_listmy @names = $sqla->renderer_list; wrap_rendererwrap_rendererswrap_op_rendererwrap_op_rendererswrap_clause_rendererwrap_clause_renderers$sqla->wrap_renderer('name' => sub { my ($orig) = @_; sub { ... } }); $sqla->wrap_renderers( 'name1' => sub { my ($orig1) = @_; sub { ... } }, 'name2' => sub { my ($orig2) = @_; sub { ... } }, ); clauses_ofmy @clauses = $sqla->clauses_of('select'); $sqla->clauses_of(select => \@new_clauses); $sqla->clauses_of(select => sub { my (undef, @old_clauses) = @_; ... return @new_clauses; }); statement_listmy @list = $sqla->statement_list; make_unop_expandermy $exp = $sqla->make_unop_expander(sub { ... }); If the op is found as a binop, assumes it wants a default comparison, so the inner expander sub can reliably operate as sub { my ($self, $name, $body) = @_; ... } make_binop_expandermy $exp = $sqla->make_binop_expander(sub { ... }); If the op is found as a unop, assumes the value will be an arrayref with the LHS as the first entry, and converts that to an ident node if it's a simple scalar. So the inner expander sub looks like sub { my ($self, $name, $body, $k) = @_; { -blah => [ map $self->expand_expr($_), $k, $body ] } } unop_expanderunop_expandersbinop_expanderbinop_expandersThe above methods operate exactly like the op_ versions but wrap the coderef using the appropriate make_ method first.PERFORMANCEThanks to some benchmarking by Mark Stosberg, it turns out that this module is many orders of magnitude faster than using "DBIx::Abstract". I must admit this wasn't an intentional design issue, but it's a byproduct of the fact that you get to control your "DBI" handles yourself.To maximize performance, use a code snippet like the following: # prepare a statement handle using the first row # and then reuse it for the rest of the rows my($sth, $stmt); for my $href (@array_of_hashrefs) { $stmt ||= $sql->insert('table', $href); $sth ||= $dbh->prepare($stmt); $sth->execute($sql->values($href)); } The reason this works is because the keys in your $href are sorted internally by SQL::Abstract. Thus, as long as your data retains the same structure, you only have to generate the SQL the first time around. On subsequent queries, simply use the "values" function provided by this module to return your values in the correct order. However this depends on the values having the same type - if, for example, the values of a where clause may either have values (resulting in sql of the form "column = ?" with a single bind value), or alternatively the values might be "undef" (resulting in sql of the form "column IS NULL" with no bind value) then the caching technique suggested will not work. FORMBUILDERIf you use my "CGI::FormBuilder" module at all, you'll hopefully really like this part (I do, at least). Building up a complex query can be as simple as the following:#!/usr/bin/perl use warnings; use strict; use CGI::FormBuilder; use SQL::Abstract; my $form = CGI::FormBuilder->new(...); my $sql = SQL::Abstract->new; if ($form->submitted) { my $field = $form->field; my $id = delete $field->{id}; my($stmt, @bind) = $sql->update('table', $field, {id => $id}); } Of course, you would still have to connect using "DBI" to run the query, but the point is that if you make your form look like your table, the actual query script can be extremely simplistic. If you're REALLY lazy (I am), check out "HTML::QuickTable" for a fast interface to returning and formatting data. I frequently use these three modules together to write complex database query apps in under 50 lines. HOW TO CONTRIBUTEContributions are always welcome, in all usable forms (we especially welcome documentation improvements). The delivery methods include git- or unified-diff formatted patches, GitHub pull requests, or plain bug reports either via RT or the Mailing list. Contributors are generally granted full access to the official repository after their first several patches pass successful review.This project is maintained in a git repository. The code and related tools are accessible at the following locations:
CHANGESVersion 1.50 was a major internal refactoring of "SQL::Abstract". Great care has been taken to preserve the published behavior documented in previous versions in the 1.* family; however, some features that were previously undocumented, or behaved differently from the documentation, had to be changed in order to clarify the semantics. Hence, client code that was relying on some dark areas of "SQL::Abstract" v1.* might behave differently in v1.50.The main changes are:
ACKNOWLEDGEMENTSThere are a number of individuals that have really helped out with this module. Unfortunately, most of them submitted bugs via CPAN so I have no idea who they are! But the people I do know are:Ash Berlin (order_by hash term support) Matt Trout (DBIx::Class support) Mark Stosberg (benchmarking) Chas Owens (initial "IN" operator support) Philip Collins (per-field SQL functions) Eric Kolve (hashref "AND" support) Mike Fragassi (enhancements to "BETWEEN" and "LIKE") Dan Kubb (support for "quote_char" and "name_sep") Guillermo Roditi (patch to cleanup "IN" and "BETWEEN", fix and tests for _order_by) Laurent Dami (internal refactoring, extensible list of special operators, literal SQL) Norbert Buchmuller (support for literal SQL in hashpair, misc. fixes & tests) Peter Rabbitson (rewrite of SQLA::Test, misc. fixes & tests) Oliver Charles (support for "RETURNING" after "INSERT") Thanks! SEE ALSODBIx::Class, DBIx::Abstract, CGI::FormBuilder, HTML::QuickTable.AUTHORCopyright (c) 2001-2007 Nathan Wiger <nwiger@cpan.org>. All Rights Reserved.This module is actively maintained by Matt Trout <mst@shadowcatsystems.co.uk> For support, your best bet is to try the "DBIx::Class" users mailing list. While not an official support venue, "DBIx::Class" makes heavy use of "SQL::Abstract", and as such list members there are very familiar with how to create queries. LICENSEThis module is free software; you may copy this under the same terms as perl itself (either the GNU General Public License or the Artistic License)
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