Provided by: librose-db-object-perl_0.810-1_all 
NAME
Rose::DB::Object::QueryBuilder - Build SQL queries on behalf of Rose::DB::Object::Manager.
SYNOPSIS
use Rose::DB::Object::QueryBuilder qw(build_select);
# Build simple query
$sql = build_select
(
dbh => $dbh,
select => 'COUNT(*)',
tables => [ 'articles' ],
columns => { articles => [ qw(id category type title date) ] },
query =>
[
category => [ 'sports', 'science' ],
type => 'news',
title => { like => [ '%million%',
'%resident%' ] },
],
query_is_sql => 1);
$sth = $dbh->prepare($sql);
$sth->execute;
$count = $sth->fetchrow_array;
...
# Return query with placeholders, plus bind values
($sql, $bind) = build_select
(
dbh => $dbh,
tables => [ 'articles' ],
columns => { articles => [ qw(id category type title date) ] },
query =>
[
category => [ 'sports', 'science' ],
type => 'news',
title => { like => [ '%million%',
'%resident%' ] },
],
query_is_sql => 1,
sort_by => 'title DESC, category',
limit => 5);
$sth = $dbh->prepare($sql);
$sth->execute(@$bind);
while($row = $sth->fetchrow_hashref) { ... }
...
# Coerce query values into the right format
($sql, $bind) = build_select
(
db => $db,
tables => [ 'articles' ],
columns => { articles => [ qw(id category type title date) ] },
classes => { articles => 'Article' },
query =>
[
type => 'news',
date => { lt => 'now' },
date => { gt => DateTime->new(...) },
],
sort_by => 'title DESC, category',
limit => 5);
$sth = $dbh->prepare($sql);
$sth->execute(@$bind);
DESCRIPTION
Rose::DB::Object::QueryBuilder is used to build SQL queries, primarily in service of the
Rose::DB::Object::Manager class. It (optionally) exports two functions: build_select()
and build_where_clause().
FUNCTIONS
build_select PARAMS
Returns an SQL "select" query string (in scalar context) or an SQL "select" query
string with placeholders and a reference to an array of bind values (in list context)
constructed based on PARAMS. Valid PARAMS are described below.
clauses CLAUSES
A reference to an array of extra SQL clauses to add to the "WHERE" portion of the
query string. This is the obligatory "escape hatch" for clauses that are not
supported by arguments to the query parameter.
columns HASHREF
A reference to a hash keyed by table name, each of which points to a reference to
an array of the names of the columns in that table. Example:
$sql = build_select(columns =>
{
table1 => [ 'col1', 'col2', ... ],
table2 => [ 'col1', 'col2', ... ],
...
});
This argument is required.
db DB
A Rose::DB-derived object. This argument is required if query_is_sql is false or
omitted.
dbh DBH
A DBI database handle already connected to the correct database. If this argument
is omitted, an attempt will be made to extract a database handle from the db
argument. If this fails, or if there is no db argument, a fatal error will occur.
group_by CLAUSE
A fully formed SQL "GROUP BY ..." clause, sans the words "GROUP BY", or a
reference to an array of strings to be joined with a comma and appended to the
"GROUP BY" clause.
limit NUMBER
A number to use in the "LIMIT ..." clause.
logic LOGIC
A string indicating the logic that will be used to join the statements in the
WHERE clause. Valid values for LOGIC are "AND" and "OR". If omitted, it defaults
to "AND".
pretty BOOL
If true, the SQL returned will have slightly nicer formatting.
query PARAMS
The query parameters, passed as a reference to an array of name/value pairs,
scalar references, or array references. PARAMS may include an arbitrary list of
selection parameters used to modify the "WHERE" clause of the SQL select
statement. Any query parameter that is not in one of the forms described below
will cause a fatal error.
Valid selection parameters are described below, along with the SQL clause they add
to the select statement.
Simple equality:
'NAME' => "foo" # COLUMN = 'foo'
'!NAME' => "foo" # NOT(COLUMN = 'foo')
'NAME' => [ "a", "b" ] # COLUMN IN ('a', 'b')
'!NAME' => [ "a", "b" ] # COLUMN NOT(IN ('a', 'b'))
Is/is not null:
'NAME' => undef # COLUMN IS NULL
'!NAME' => undef # COLUMN IS NOT NULL
'NAME' => { eq => undef } # COLUMN IS NULL
'NAME' => { ne => undef } # COLUMN IS NOT NULL
Comparisons:
NAME => { OP => "foo" } # COLUMN OP 'foo'
# (COLUMN OP 'foo' OR COLUMN OP 'goo')
NAME => { OP => [ "foo", "goo" ] }
"OP" can be any of the following:
OP SQL operator
------------- ------------
similar SIMILAR TO
match ~
imatch ~*
regex, regexp REGEXP
like LIKE
ilike ILIKE
rlike RLIKE
is IS
is_not IS NOT
ne <>
eq =
lt <
gt >
le <=
ge >=
Ranges:
NAME => { between => [ 1, 99 ] } # COLUMN BETWEEN 1 AND 99
NAME => { gt_lt => [ 1, 99 ] } # (COLUMN > 1 AND < 99)
NAME => { gt_le => [ 1, 99 ] } # (COLUMN > 1 AND <= 99)
NAME => { ge_lt => [ 1, 99 ] } # (COLUMN >= 1 AND < 99)
NAME => { ge_le => [ 1, 99 ] } # (COLUMN >= 1 AND <= 99)
If a value is a reference to a scalar, that scalar is "inlined" without any
quoting.
'NAME' => \"foo" # COLUMN = foo
'NAME' => [ "a", \"b" ] # COLUMN IN ('a', b)
Undefined values are translated to the keyword NULL when included in a multi-value
comparison.
'NAME' => [ "a", undef ] # COLUMN IN ('a', NULL)
Set operations:
### Informix (default) ###
# A IN COLUMN
'NAME' => { in_set => 'A' }
# NOT(A IN COLUMN)
'!NAME' => { in_set => 'A' }
# (A IN COLUMN OR B IN COLUMN)
'NAME' => { in_set => [ 'A', 'B'] }
'NAME' => { any_in_set => [ 'A', 'B'] }
# NOT(A IN COLUMN) AND NOT(B IN COLUMN)
'!NAME' => { in_set => [ 'A', 'B'] }
'!NAME' => { any_in_set => [ 'A', 'B'] }
# (A IN COLUMN AND B IN COLUMN)
'NAME' => { all_in_set => [ 'A', 'B'] }
# NOT(A IN COLUMN AND B IN COLUMN)
'!NAME' => { all_in_set => [ 'A', 'B'] }
### MySQL (requires db parameter) ###
# FIND_IN_SET(A, COLUMN) > 0
'NAME' => { in_set => 'A' }
# NOT(FIND_IN_SET(A, COLUMN) > 0)
'!NAME' => { in_set => 'A' }
# (FIND_IN_SET(A, COLUMN) > 0 OR FIND_IN_SET(B, COLUMN) > 0)
'NAME' => { in_set => [ 'A', 'B'] }
'NAME' => { any_in_set => [ 'A', 'B'] }
# NOT(FIND_IN_SET(A, COLUMN) > 0) AND NOT(FIND_IN_SET(B, COLUMN) > 0)
'!NAME' => { in_set => [ 'A', 'B'] }
'!NAME' => { any_in_set => [ 'A', 'B'] }
# (FIND_IN_SET(A, COLUMN) > 0 AND FIND_IN_SET(B, COLUMN) > 0)
'NAME' => { all_in_set => [ 'A', 'B'] }
# NOT(FIND_IN_SET(A, COLUMN) > 0 AND FIND_IN_SET(B, COLUMN) > 0)
'!NAME' => { all_in_set => [ 'A', 'B'] }
Array operations:
# A = ANY(COLUMN)
'NAME' => { in_array => 'A' }
# NOT(A = ANY(COLUMN))
'!NAME' => { in_array => 'A' }
# (A = ANY(COLUMN) OR B = ANY(COLUMN))
'NAME' => { in_array => [ 'A', 'B'] }
'NAME' => { any_in_array => [ 'A', 'B'] }
# NOT(A = ANY(COLUMN) OR B = ANY(COLUMN))
'!NAME' => { in_array => [ 'A', 'B'] }
'!NAME' => { any_in_array => [ 'A', 'B'] }
# (A = ANY(COLUMN) AND B = ANY(COLUMN))
'NAME' => { all_in_array => [ 'A', 'B'] }
# NOT(A = ANY(COLUMN) AND B = ANY(COLUMN))
'!NAME' => { all_in_array => [ 'A', 'B'] }
PostgreSQL ltree operations:
OP SQL operator
------------- ------------
ltree_ancestor @>
ltree_descendant <@
ltree_query ~
ltree_ltxtquery @
ltree_concat ||
Any of the operations described above can have "_sql" appended to indicate that
the corresponding values are to be "inlined" (i.e., included in the SQL query as-
is, with no quoting of any kind). This is useful for comparing two columns. For
example, this query:
query => [ legs => { gt_sql => 'eyes' } ]
would produce this SQL:
SELECT ... FROM animals WHERE legs > eyes
where "legs" and "eyes" are both left unquoted.
The same NAME string may be repeated multiple times. (This is the primary reason
that the query is a reference to an array of name/value pairs, rather than a
reference to a hash, which would only allow each NAME once.) Example:
query =>
[
age => { gt => 10 },
age => { lt => 20 },
]
The string "NAME" can take many forms, each of which eventually resolves to a
database column (COLUMN in the examples above).
Literal SQL can be included by providing a reference to a scalar:
\'mycol > 123'
To use placeholders and bind values, pass a reference to an array containing a
scalar reference to the literal SQL with placeholders as the first item, followed
by a list of values to bind:
[ \'mycol > ?' => 123 ]
"column"
A bare column name. If the query includes more than one table, the column
name may be ambiguous if it appears in two or more tables. In that case, a
fatal error will occur. To solve this, use one of the less ambiguous forms
below.
"table.column"
A column name and a table name joined by a dot. This is the "fully qualified"
column name.
"tN.column"
A column name and a table alias joined by a dot. The table alias is in the
form "tN", where "N" is a number starting from 1. See the documentation for
tables parameter below to learn how table aliases are assigned to tables.
Any of the above prefixed with "!"
This indicates the negation of the specified condition.
If query_is_sql is false or omitted, then NAME can also take on these additional
forms:
"method"
A get_set column method name from a Rose::DB::Object-derived class fronting
one of the tables being queried. There may be ambiguity here if the same
method name is defined on more than one of the classes involved in the query.
In such a case, the method will be mapped to the first
Rose::DB::Object-derived class that contains a method by that name, considered
in the order that the tables are provided in the tables parameter.
"!method"
This indicates the negation of the specified condition.
Un-prefixed column or method names that are ambiguous (i.e., exist in more than
one of the tables being queried) are considered to be part of the primary table
("t1").
Finally, in the case of apparently intractable ambiguity, like when a table name
is the same as another table's alias, remember that you can always use the
"tn_"-prefixed column name aliases, which are unique within a given query.
All of these clauses are joined by logic (default: "AND") in the final query.
Example:
$sql = build_select
(
dbh => $dbh,
select => 'id, title',
tables => [ 'articles' ],
columns => { articles => [ qw(id category type title) ] },
query =>
[
category => [ 'sports', 'science' ],
type => 'news',
title => { like => [ '%million%',
'%resident%' ] },
],
query_is_sql => 1);
The above returns an SQL statement something like this:
SELECT id, title FROM articles WHERE
category IN ('sports', 'science')
AND
type = 'news'
AND
(title LIKE '%million%' OR title LIKE '%resident%')
LIMIT 5
Nested boolean logic is possible using the special keywords "and" and "or" (case
insensitive). Example:
$sql = build_select
(
dbh => $dbh,
select => 'id, title',
tables => [ 'articles' ],
columns => { articles => [ qw(id category type title) ] },
query =>
[
or =>
[
and => [ category => undef, type => 'aux' ],
category => [ 'sports', 'science' ],
],
type => 'news',
title => { like => [ '%million%',
'%resident%' ] },
],
query_is_sql => 1);
which returns an SQL statement something like this:
SELECT id, title FROM articles WHERE
(
(
category IS NULL AND
type = 'aux'
)
OR category IN ('sports', 'science')
)
AND
type = 'news'
AND
(title LIKE '%million%' OR title LIKE '%resident%')
The "and" and "or" keywords can be used multiple times within a query (just like
all other NAME specifiers described earlier) and can be arbitrarily nested.
If you have a column named "and" or "or", you'll have to use the fully-qualified
(table.column) or alias-qualified (tN.column) forms in order to address that
column.
If query_is_sql is false or omitted, all of the parameter values are passed
through the "parse_value()" and "format_value()" methods of their corresponding
Rose::DB::Object::Metadata::Column-derived column objects.
If a column object returns true from its manager_uses_method() method, then its
parameter value is passed through the corresponding Rose::DB::Object-derived
object method instead.
Example:
$dt = DateTime->new(year => 2001, month => 1, day => 31);
$sql = build_select
(
db => $db,
select => 'id, category',
tables => [ 'articles' ],
columns => { articles => [ qw(id category type date) ] },
classes => { articles => 'Article' },
query =>
[
type => 'news',
date => { lt => '12/25/2003 8pm' },
date => { gt => $dt },
],
sort_by => 'id DESC, category',
limit => 5);
The above returns an SQL statement something like this:
SELECT id, category FROM articles WHERE
type = 'news'
AND
date < '2003-12-25 20:00:00'
AND
date > '2001-01-31 00:00:00'
ORDER BY id DESC, category
LIMIT 5
Finally, here's an example using more than one table:
$dt = DateTime->new(year => 2001, month => 1, day => 31);
$sql = build_select
(
db => $db,
tables => [ 'articles', 'categories' ],
columns =>
{
articles => [ qw(id name category_id date) ],
categories => [ qw(id name description) ],
},
classes =>
{
articles => 'Article',
categories => 'Category',
},
query =>
[
'!t1.name' => { like => '%foo%' },
t2.name => 'news',
date => { lt => '12/25/2003 8pm' },
date => { gt => $dt },
],
clauses =>
[
't1.category_id = t2.id',
],
sort_by => 'articles.name DESC, t2.name',
limit => 5);
The above returns an SQL statement something like this:
SELECT
t1.id,
t1.name,
t1.category_id,
t1.date,
t2.id,
t2.name,
t2.description
FROM
articles t1,
categories t2
WHERE
t1.category_id = t2.id
AND
NOT(t1.name LIKE '%foo%')
AND
t2.name = 'news'
AND
t1.date < '2003-12-25 20:00:00'
AND
t1.date > '2001-01-31 00:00:00'
ORDER BY articles.name DESC, t2.name
LIMIT 5
query_is_sql BOOL
If omitted, this boolean flag is false. If true, then the values of the query
parameters are taken as literal strings that are suitable for direct use in SQL
queries. Example:
$sql = build_select
(
query_is_sql => 1,
query =>
[
date => { lt => '2003-12-25 20:00:00' },
],
...
);
Here the date value "2003-12-25 20:00:00" must be in the format that the current
database expects for columns of that data type.
But if query_is_sql is false or omitted, then any query value that can be handled
by the Rose::DB::Object-derived object method that services the corresponding
database column is valid. (Note that this is only possible when this method is
called from one of the built-in Rose::DB::Object::Manager methods, e.g.,
get_objects().)
Example:
$dt = DateTime->new(year => 2001, month => 1, day => 31);
$sql = build_select
(
query =>
[
date => { gt => $dt },
date => { lt => '12/25/2003 8pm' },
],
...
);
Here a DateTime object and a loosely formatted date are passed as values.
Provided the Rose::DB::Object-derived object method that services the "date"
column can handle such values, they will be parsed and formatted as appropriate
for the current database.
The advantage of this approach is that the query values do not have to be so
rigorously specified, nor do they have to be in a database-specific format.
The disadvantage is that all of this parsing and formatting is done for every
query value, and that adds additional overhead to each call.
Usually, this overhead is dwarfed by the time required for the database to service
the query, and, perhaps more importantly, the reduced maintenance headache and
busywork required to properly format all query values.
select COLUMNS
The names of the columns to select from the table. COLUMNS may be a string of
comma-separated column names, or a reference to an array of column names. If this
parameter is omitted, it defaults to all of the columns in all of the tables
participating in the query (according to the value of the columns argument).
sort_by [ CLAUSE | ARRAYREF ]
A fully formed SQL "ORDER BY ..." clause, sans the words "ORDER BY", or a
reference to an array of strings to be joined with a comma and appended to the
"ORDER BY" clause.
If an item in the referenced array is itself a reference to a scalar, then that
item will be dereferenced and passed through unmodified.
tables TABLES
A reference to an array of table names. This argument is required. A fatal error
will occur if it is omitted.
If more than one table is in the list, then each table is aliased to "tN", where N
is an ascending number starting with 1. The tables are numbered according to
their order in TABLES. Example:
$sql = build_select(tables => [ 'foo', 'bar', 'baz' ], ...);
print $sql;
# SELECT ... FROM
# foo AS t1,
# bar AS t2,
# baz AS t3
# ...
Furthermore, if there is no explicit value for the select parameter and if the
unique_aliases parameter is set to true, then each selected column is aliased with
a "tN_" prefix in a multi-table query. Example:
SELECT
t1.id AS t1_id,
t1.name AS t1_name,
t2.id AS t2_id,
t2.name AS t2_name
FROM
foo AS t1,
bar AS t2
WHERE
...
These unique aliases provide a technique of last resort for unambiguously
addressing a column in a query clause.
unique_aliases BOOL
If true, then each selected column will be given a unique alias by prefixing it
with its table alias and an underscore. The default value is false. See the
documentation for the tables parameter above for an example.
build_where_clause PARAMS
This works the same as the build_select() function, except that it only returns the
"WHERE" clause of the SQL query, sans the word "WHERE" and prefixed with a single
space.
AUTHOR
John C. Siracusa (siracusa@gmail.com)
LICENSE
Copyright (c) 2010 by John C. Siracusa. All rights reserved. This program is free
software; you can redistribute it and/or modify it under the same terms as Perl itself.