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);

Inserting and Updating Arrays

If 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 SQL

In 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 statements

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%'

Any setting other than 'lower' is ignored.

cmp

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

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

Will generate SQL like this:

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

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

sqltrue, sqlfalse

Expressions for inserting boolean values within SQL statements. By default these are 1=1 and 1=0.

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'

The logic can also be changed locally by inserting an extra first element in the array :

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

See the "WHERE CLAUSES" section for explanations.

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.

Note that if you set "bindtype" to columns, the \[$sql, @bind] construct (see "Literal SQL with placeholders and bind values (subqueries)") will expect the bind values in this format.

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%'

Alternatively, you can supply an array ref of two items, the first being the left hand quote character, and the second the right hand quote character. For example, you could supply ['[',']'] for SQL Server 2000 compliant quotes that generates SQL like this:

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

Quoting is useful if you have tables or columns names 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

array_datatypes

When this option is true, arrayrefs in INSERT or UPDATE are interpreted as array datatypes and are passed directly to the DBI layer. When this option is false, arrayrefs are interpreted as literal SQL, just like refs to arrayrefs (but this behavior is for backwards compatibility; when writing new queries, use the "reference to arrayref" syntax for literal SQL).

special_ops

Takes a reference to a list of "special operators" to extend the syntax understood by SQL::Abstract. See section "SPECIAL OPERATORS" for details.

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. See the sections on "Inserting and Updating Arrays" and "Inserting and Updating SQL" for information on how to insert with those data types.

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. See the sections on "Inserting and Updating Arrays" and "Inserting and Updating SQL" for information on how to insert with those data types.

select($source, $fields, $where, $order)

This returns a SQL SELECT statement and associated list of bind values, as specified by the arguments :

$source: Specification of the 'FROM' part of the statement. The argument can be either a plain scalar (interpreted as a table name, will be quoted), or an arrayref (interpreted as a list of table names, joined by commas, quoted), or a scalarref (literal table name, not quoted), or a ref to an arrayref (list of literal table names, joined by commas, not quoted).
$fields: Specification of the list of fields to retrieve from the source. The argument can be either an arrayref (interpreted as a list of field names, will be joined by commas and quoted), or a plain scalar (literal SQL, not quoted). Please observe that this API is not as flexible as for the first argument $table, for backwards compatibility reasons.
$where: Optional argument to specify the WHERE part of the query. The argument is most often a hashref, but can also be an arrayref or plain scalar -- see section WHERE clause for details.
$order: Optional argument to specify the ORDER BY part of the query. The argument can be a scalar, a hashref or an arrayref -- see section ORDER BY clause for details.

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

Introduction

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.

Key-value pairs

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');

An empty arrayref will be considered a logical false and will generate 0=1.

Key-value pairs

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 != ? AND status != ? AND status != ?"

Notice that since the operator was recognized as being a 'negative' operator, the arrayref was interpreted with 'AND' logic (because of Morgan's laws). By contrast, the reverse

    status => { '=', ['assigned', 'in-progress', 'pending'] };

would generate :

    "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}, {'!=', 1} ]
    );

Which would generate:

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

If you want to include literal SQL (with or without bind values), just use a scalar reference or array reference 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 operators

In 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'} ]

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' ],
    );

If you need several nested subexpressions, you can number the -nest branches :

    my %where = (
         user => 'nwiger',
        -nest1 => ...,
        -nest2 => ...,
        ...
    );

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.

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 ? )

These are the two builtin "special operators"; but the list can be expanded : see section "SPECIAL OPERATORS" below.

Nested conditions

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 = ? ) ) )

Literal SQL

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.

Conditions on boolean columns can be expressed in the same way, passing a reference to an empty string :

    my %where = (
        priority  => { '<', 2 },
        is_ready  => \"";
    );

which yields

    $stmt = "WHERE priority < ? AND is_ready";
    @bind = ('2');

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 => \[q/= 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. That means that if you set "bindtype" to columns, you must provide the bind values in the [ column_name => value ] format, so eg. the above example will look like:

    my %where = (
       date_column => \[q/= date '2008-09-30' - ?::integer/, [ dummy => 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 = (
    foo   => 1234,
    -nest => \["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.

Another use of the subquery technique is when some SQL clauses need parentheses, as it often occurs with some proprietary SQL extensions like for example fulltext expressions, geospatial expressions, NATIVE clauses, etc. Here is an example of a fulltext query in MySQL :

  my %where = (
    -nest => \["MATCH (col1, col2) AGAINST (?)" => qw/apples/]
  );

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%'},
        -nest  => \["NOT ($sub_stmt)" => @sub_bind],
    );

This yields

  $stmt = "lname LIKE ? AND NOT ( age < ? OR age > ? )"
  @bind = ('%son%', 10, 20)

Conclusion

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.

ORDER BY CLAUSES

Some functions take an order by clause. This can either be a scalar (just a column name,) a hash of { -desc => 'col' } or { -asc => 'col' }, or an array of either of the two previous forms. Examples:

             Given             |    Will Generate
    ----------------------------------------------------------
    \'colA DESC'               | ORDER BY colA DESC
    'colA'                     | ORDER BY colA
    [qw/colA colB/]            | ORDER BY colA, colB
    {-asc  => 'colA'}          | ORDER BY colA ASC
    {-desc => 'colB'}          | ORDER BY colB DESC
    [                          |
      {-asc  => 'colA'},       | ORDER BY colA ASC, colB DESC
      {-desc => 'colB'}        |
    ]                          |
    [colA => {-asc => 'colB'}] | ORDER BY colA, colB ASC
    ==========================================================

SPECIAL OPERATORS

  my $sqlmaker = SQL::Abstract->new(special_ops => [
     {regex => qr/.../,
      handler => sub {
        my ($self, $field, $op, $arg) = @_;
        ...
        },
     },
   ]);

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. 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

regex: the regular expression to match the operator
handler: coderef that will be called when meeting that operator in the input tree. The coderef will be called with arguments ($self, $field, $op, $arg), and should return a ($sql, @bind) structure.

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);
       }
     },
  
  ]);

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.

CHANGES

Version 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 :

support for literal SQL through the \ [$sql, bind] syntax.
support for the { operator => \"..." } construct (to embed literal SQL)
support for the { operator => \["...", @bind] } construct (to embed literal SQL with bind values)
added -nest1, -nest2 or -nest_1, -nest_2, ...
optional support for array datatypes
defensive programming : check arguments
fixed bug with global logic, which was previously implemented through global variables yielding side-effects. Prior versons would interpret [ {cond1, cond2}, [cond3, cond4] ] as "(cond1 AND cond2) OR (cond3 AND cond4)". Now this is interpreted as "(cond1 AND cond2) OR (cond3 OR cond4)".
-and / -or operators are no longer accepted in the middle of an arrayref : they are only admitted if in first position.
changed logic for distributing an op over arrayrefs
fixed semantics of _bindtype on array args
dropped the _anoncopy of the %where tree. No longer necessary, we just avoid shifting arrays within that tree.
dropped the _modlogic function

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:

    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, multiple -nest, extensible list of special operators, literal SQL)
    Norbert Buchmuller (support for literal SQL in hashpair, misc. fixes & tests)

Thanks!

AUTHOR

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.

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.

To install SQL::Abstract, copy and paste the appropriate command in to your terminal.

cpanm

cpanm SQL::Abstract

CPAN shell

perl -MCPAN -e shell
install SQL::Abstract

For more information on module installation, please visit the detailed CPAN module installation guide.

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NAME

SYNOPSIS

DESCRIPTION

Inserting and Updating Arrays

Inserting and Updating SQL

Complex where statements

FUNCTIONS

new(option => 'value')

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

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

select($source, $fields, $where, $order)

delete($table, \%where)

where(\%where, \@order)

values(\%data)

generate($any, 'number', $of, \@data, $struct, \%types)

WHERE CLAUSES

Introduction

Key-value pairs

Key-value pairs

Logic and nesting operators

Special operators : IN, BETWEEN, etc.

Nested conditions

Literal SQL

Literal SQL with placeholders and bind values (subqueries)

Conclusion

ORDER BY CLAUSES

SPECIAL OPERATORS

PERFORMANCE

FORMBUILDER

CHANGES

ACKNOWLEDGEMENTS

SEE ALSO

AUTHOR

Module Install Instructions