ARRAY_FILL(3) 1 ARRAY_FILL(3)array_fill - Fill an array with valuesSYNOPSIS
array array_fill (int $start_index, int $num, mixed $value)
DESCRIPTION
Fills an array with $num entries of the value of the $value parameter, keys starting at the $start_index parameter.
PARAMETERS
o $start_index
- The first index of the returned array. If $start_index is negative, the first index of the returned array will be $start_index
and the following indices will start from zero (see example).
o $num
- Number of elements to insert. Must be greater than or equal to zero.
o $value
- Value to use for filling
RETURN VALUES
Returns the filled array
ERRORS /EXCEPTIONS
Throws a E_WARNING if $num is less than zero.
CHANGELOG
+--------+---------------------------------------------------+
|Version | |
| | |
| | Description |
| | |
+--------+---------------------------------------------------+
| 5.6.0 | |
| | |
| | $num may now be zero. Previously, $num was |
| | required to be greater than zero. |
| | |
+--------+---------------------------------------------------+
EXAMPLES
Example #1
array_fill(3) example
<?php
$a = array_fill(5, 6, 'banana');
$b = array_fill(-2, 4, 'pear');
print_r($a);
print_r($b);
?>
The above example will output:
Array
(
[5] => banana
[6] => banana
[7] => banana
[8] => banana
[9] => banana
[10] => banana
)
Array
(
[-2] => pear
[0] => pear
[1] => pear
[2] => pear
)
NOTES
See also the Arrays section of manual for a detailed explanation of negative keys.
SEE ALSO array_fill_keys(3), str_repeat(3), range(3).
PHP Documentation Group ARRAY_FILL(3)
Check Out this Related Man Page
MONGOCOLLECTION.GROUP(3) 1 MONGOCOLLECTION.GROUP(3)MongoCollection::group - Performs an operation similar to SQL's GROUP BY command
SYNOPSIS
public array MongoCollection::group (mixed $keys, array $initial, MongoCode $reduce, [array $options = array()])
DESCRIPTION PARAMETERS
o $keys
- Fields to group by. If an array or non-code object is passed, it will be the key used to group results. 1.0.4+: If $keys is an
instance of MongoCode, $keys will be treated as a function that returns the key to group by (see the "Passing a $keys function"
example below).
o $initial
- Initial value of the aggregation counter object.
o $reduce
- A function that takes two arguments (the current document and the aggregation to this point) and does the aggregation.
o $options
- Optional parameters to the group command. Valid options include:
o "condition" Criteria for including a document in the aggregation.
o "finalize" Function called once per unique key that takes the final output of the reduce function.
o "maxTimeMS"Specifies a cumulative time limit in milliseconds for processing the operation (does not include idle time). If
the operation is not completed within the timeout period, a MongoExecutionTimeoutException will be thrown.
RETURN VALUES
Returns an array containing the result.
CHANGELOG
+--------+----------------------------------------------+
|Version | |
| | |
| | Description |
| | |
+--------+----------------------------------------------+
| 1.5.0 | |
| | |
| | Added "maxTimeMS" option. |
| | |
|1.2.11 | |
| | |
| | Emits E_DEPRECATED when $options is scalar. |
| | |
+--------+----------------------------------------------+
EXAMPLES
Example #1
MongoCollection.group(3) example
This groups documents by category and creates a list of names within that category.
<?php
$collection->insert(array("category" => "fruit", "name" => "apple"));
$collection->insert(array("category" => "fruit", "name" => "peach"));
$collection->insert(array("category" => "fruit", "name" => "banana"));
$collection->insert(array("category" => "veggie", "name" => "corn"));
$collection->insert(array("category" => "veggie", "name" => "broccoli"));
$keys = array("category" => 1);
$initial = array("items" => array());
$reduce = "function (obj, prev) { prev.items.push(obj.name); }";
$g = $collection->group($keys, $initial, $reduce);
echo json_encode($g['retval']);
?>
The above example will output something similar to:
[{"category":"fruit","items":["apple","peach","banana"]},{"category":"veggie","items":["corn","broccoli"]}]
Example #2
MongoCollection.group(3) example
This example doesn't use any key, so every document will be its own group. It also uses a condition: only documents that match this
condition will be processed by the grouping function.
<?php
$collection->save(array("a" => 2));
$collection->save(array("b" => 5));
$collection->save(array("a" => 1));
// use all fields
$keys = array();
// set intial values
$initial = array("count" => 0);
// JavaScript function to perform
$reduce = "function (obj, prev) { prev.count++; }";
// only use documents where the "a" field is greater than 1
$condition = array('condition' => array("a" => array( '$gt' => 1)));
$g = $collection->group($keys, $initial, $reduce, $condition);
var_dump($g);
?>
The above example will output something similar to:
array(4) {
["retval"]=>
array(1) {
[0]=>
array(1) {
["count"]=>
float(1)
}
}
["count"]=>
float(1)
["keys"]=>
int(1)
["ok"]=>
float(1)
}
Example #3
Passing a $keys function
If you want to group by something other than a field name, you can pass a function as the first parameter of MongoCollec-
tion.group(3) and it will be run against each document. The return value of the function will be used as its grouping value.
This example demonstrates grouping by the num field modulo 4.
<?php
$c->group(new MongoCode('function(doc) { return {mod : doc.num % 4}; }'),
array("count" => 0),
new MongoCode('function(current, total) { total.count++; }'));
?>
PHP Documentation Group MONGOCOLLECTION.GROUP(3)