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SQL::Abstract(3pm)             User Contributed Perl Documentation             SQL::Abstract(3pm)



NAME
       SQL::Abstract - Generate SQL from Perl data structures

SYNOPSIS
           use SQL::Abstract;

           my $sql = SQL::Abstract->new;

           my($stmt, @bind) = $sql->select($table, \@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);

DESCRIPTION
       This 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);

       In addition, you can apply SQL functions to elements of your %data by specifying 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...

       This 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?

FUNCTIONS
       The functions are simple. There's one for each major SQL operation, and a constructor you
       use first. The arguments are specified in a similar order to each function (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:

       case
           If set to 'lower', then SQL will be generated in all lowercase. By default SQL is
           generated in "textbook" case meaning something like:

               SELECT a_field FROM a_table WHERE some_field LIKE '%someval%'

       cmp This determines what the default comparison operator is. By default it is "=", meaning
           that a hash like this:

               %where = (name => 'nwiger', email => 'nate AT wiger.org');

           Will generate SQL like this:

               WHERE name = 'nwiger' AND email = 'nate AT wiger.org'

           However, you may want loose comparisons by default, so if you set "cmp" to "like" you
           would get SQL such as:

               WHERE name like 'nwiger' AND email like 'nate AT wiger.org'

           You can also override the comparsion on an individual basis - see the huge section on
           "WHERE CLAUSES" at the bottom.

       logic
           This determines the default logical operator for multiple WHERE statements in arrays.
           By default it is "or", meaning that a WHERE array of the form:

               @where = (
                   event_date => {'>=', '2/13/99'},
                   event_date => {'<=', '4/24/03'},
               );

           Will generate SQL like this:

               WHERE event_date >= '2/13/99' OR event_date <= '4/24/03'

           This is probably not what you want given this query, though (look at the dates). To
           change the "OR" to an "AND", simply specify:

               my $sql = SQL::Abstract->new(logic => 'and');

           Which will change the above "WHERE" to:

               WHERE event_date >= '2/13/99' AND event_date <= '4/24/03'

       convert
           This will automatically convert comparisons using the specified SQL function for both
           column and value. This is mostly used with an argument of "upper" or "lower", so that
           the SQL will have the effect of case-insensitive "searches". For example, this:

               $sql = SQL::Abstract->new(convert => 'upper');
               %where = (keywords => 'MaKe iT CAse inSeNSItive');

           Will turn out the following SQL:

               WHERE upper(keywords) like upper('MaKe iT CAse inSeNSItive')

           The conversion can be "upper()", "lower()", or any other SQL function that can be
           applied symmetrically to fields (actually SQL::Abstract does not validate this option;
           it will just pass through what you specify verbatim).

       bindtype
           This is a kludge because many databases suck. For example, you can't just bind values
           using DBI's "execute()" for Oracle "CLOB" or "BLOB" fields.  Instead, you have to use
           "bind_param()":

               $sth->bind_param(1, 'reg data');
               $sth->bind_param(2, $lots, {ora_type => ORA_CLOB});

           The problem is, SQL::Abstract will normally just return a @bind array, which loses
           track of which field each slot refers to. Fear not.

           If you specify "bindtype" in new, you can determine how @bind is returned.  Currently,
           you can specify either "normal" (default) or "columns". If you specify "columns", you
           will get an array that looks like this:

               my $sql = SQL::Abstract->new(bindtype => 'columns');
               my($stmt, @bind) = $sql->insert(...);

               @bind = (
                   [ 'column1', 'value1' ],
                   [ 'column2', 'value2' ],
                   [ 'column3', 'value3' ],
               );

           You can then iterate through this manually, using DBI's "bind_param()".

               $sth->prepare($stmt);
               my $i = 1;
               for (@bind) {
                   my($col, $data) = @$_;
                   if ($col eq 'details' || $col eq 'comments') {
                       $sth->bind_param($i, $data, {ora_type => ORA_CLOB});
                   } elsif ($col eq 'image') {
                       $sth->bind_param($i, $data, {ora_type => ORA_BLOB});
                   } else {
                       $sth->bind_param($i, $data);
                   }
                   $i++;
               }
               $sth->execute;      # execute without @bind now

           Now, why would you still use SQL::Abstract if you have to do this crap?  Basically,
           the advantage is still that you don't have to care which fields are or are not
           included. You could wrap that above "for" loop in a simple sub called "bind_fields()"
           or something and reuse it repeatedly. You still get a layer of abstraction over manual
           SQL specification.

       quote_char
           This is the character that a table or column name will be quoted with.  By default
           this is an empty string, but you could set it to the character "`", to generate SQL
           like this:

             SELECT `a_field` FROM `a_table` WHERE `some_field` LIKE '%someval%'

           This is useful if you have tables or columns that are reserved words in your
           database's SQL dialect.

       name_sep
           This is the character that separates a table and column name.  It is necessary to
           specify this when the "quote_char" option is selected, so that tables and column names
           can be individually quoted like this:

             SELECT `table`.`one_field` FROM `table` WHERE `table`.`other_field` = 1

       insert($table, \@values || \%fieldvals)

       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.

       update($table, \%fieldvals, \%where)

       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.

       select($table, \@fields, \%where, \@order)

       This takes a table, arrayref of fields (or '*'), optional hashref WHERE clause, and
       optional arrayref order by, and returns the corresponding SQL SELECT statement and list of
       bind values.

       delete($table, \%where)

       This takes a table name and optional hashref WHERE clause.  It returns an SQL DELETE
       statement and list of bind values.

       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.

WHERE CLAUSES
       This 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.

       So, 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');

       If 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 != ?"

       But, this is probably not what you want in this case (look at it). So 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}, {'!=', 1} ]
           );

       Which would generate:

           $stmt = "WHERE user = ? AND priority = ? OR priority != ?";
           @bind = ('nwiger', '2', '1');

       However, 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'} ]

       In addition to "-and" and "-or", there is also a special "-nest" operator which adds an
       additional set of parens, to create a subquery.  For example, to get something like this:

           $stmt = WHERE user = ? AND ( workhrs > ? OR geo = ? )
           @bind = ('nwiger', '20', 'ASIA');

       You would do:

           my %where = (
                user => 'nwiger',
               -nest => [ workhrs => {'>', 20}, geo => 'ASIA' ],
           );

       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');

       You can use this same format to use other grouping functions, such as "BETWEEN", "SOME",
       and so forth. For example:

           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 ? )

       So 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');

       This can be combined with the "-nest" operator to properly group SQL statements:

           my @where = (
                -and => [
                   user => 'nwiger',
                   -nest => [
                       -and => [workhrs => {'>', 20}, geo => 'ASIA' ],
                       -and => [workhrs => {'<', 50}, geo => 'EURO' ]
                   ],
               ],
           );

       That would yield:

           WHERE ( user = ? AND
                 ( ( workhrs > ? AND geo = ? )
                OR ( workhrs < ? AND geo = ? ) ) )

       Finally, sometimes only literal SQL will do. If you want to include literal SQL verbatim,
       you can specify it as a scalar reference, namely:

           my $inn = 'is Not Null';
           my %where = (
               priority => { '<', 2 },
               requestor => \$inn
           );

       This would create:

           $stmt = "WHERE priority < ? AND requestor is Not Null";
           @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.

       Of course, just to prove a point, the above can also be accomplished with this:

           my %where = (
               priority  => { '<', 2 },
               requestor => { '!=', undef },
           );

       TMTOWTDI.

       These 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.

PERFORMANCE
       Thanks 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.

FORMBUILDER
       If 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 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.

NOTES
       There is not (yet) any explicit support for SQL compound logic statements like "AND NOT".
       Instead, just do the de Morgan's law transformations yourself. For example, this:

         "lname LIKE '%son%' AND NOT ( age < 10 OR age > 20 )"

       Becomes:

         "lname LIKE '%son%' AND ( age >= 10 AND age <= 20 )"

       With the corresponding %where hash:

           %where = (
               lname => {like => '%son%'},
               age   => [-and => {'>=', 10}, {'<=', 20}],
           );

       Again, remember that the "-and" goes inside the arrayref.

ACKNOWLEDGEMENTS
       There 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:

           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")
           Matt Trout (DBIx::Class support)

       Thanks!

BUGS
       Bugs can be filed through the RT site:
       https://rt.cpan.org/Dist/Display.html?Queue=SQL-Abstract

       Or email: bugs-SQL-Abstract AT rt.org

SEE ALSO
       DBIx::Abstract, DBI, CGI::FormBuilder, HTML::QuickTable

AUTHOR
       Copyright (c) 2001-2006 Nathan Wiger <nwiger AT cpan.org>. All Rights Reserved.

MAINTAINERS
       The DBIx-Class team, contactable via the DBIC list at <dbix-class AT lists.uk>

       Release manager Matt S Trout, mst <at> shadowcat.co.uk

LICENSE
       This module is free software; you may copy this under the terms of the GNU General Public
       License, or the Artistic License, copies of which should have accompanied your Perl kit.



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