dev-master
9999999-dev https://github.com/Blackshawk/phinqA library for querying data and performing statistical operations in an logical, object-oriented fashion.
MIT
The Requires
- php >=5.3.0
by Jarrod Nettles
query statistic linq phinq
A library for querying data and performing statistical operations in an logical, object-oriented fashion.
LINQ for PHP, (*2)
originally written by Tommy Montgomery, (*3)
phinq is a faithful port of .NET's LINQ library (circa 4.0) to PHP., (*4)
<?php //Use a PSR-0 compliant autoloader to auto-import needed files //fully qualifying things sucks use Phinq\Phinq; //suppose you have some sort of collection $payments = array(10.5, 11.94, 9.3, 0, 17.1, 10.5, 0); //let's do something to it $paymentQuery = Phinq::create($payments) ->where(function($payment) { return $payment !== 0; }) //non-zero ->orderBy(function($payment) { return $payment; }); //sorted ascending //nothing happens until we evaluate the expressions by calling toArray() $nonZeroOrderedPayments = $paymentQuery->toArray(); print_r($nonZeroOrderedPayments); /* Array ( [0] => 9.3 [1] => 10.5 [2] => 10.5 [3] => 11.94 [4] => 17.1 ) */ //non-zero, ordered and distinct print_r($paymentQuery->distinct()->toArray()); /* Array ( [0] => 9.3 [1] => 10.5 [2] => 11.94 [3] => 17.1 ) */
<?php //say we had a Person struct, and each person has a place of residence class Person { public $id; public $name; public $residence; public function __construct($id, $name, State $state) { $this->id = $id; $this->name = $name; $this->residence = $state; } } class State { public $id; public $name; public $region; public $code; public function __construct($id, $name, $region, $code) { $this->id = $id; $this->name = $name; $this->region = $region; $this->code = $code; } } //...and we have these people who live in these states $people = array( new Person(1, 'Tommy', new State(1, 'California', 'SW', 'CA')), new Person(2, 'Bobby', new State(2, 'Washington', 'NW', 'WA')), new Person(3, 'Joey', new State(2, 'Washington', 'NW', 'WA')), new Person(4, 'Jerry', new State(3, 'New York', 'NE', 'NY')), new Person(3, 'Dubya', new State(4, 'Texas', 'S', 'TX')) ); //...and we want to group them by region echo Phinq::create($people) ->groupBy(function($person) { return $person->residence->region; }) ->select(function($grouping) { //$grouping is an instance of Phinq\Grouping, which inherits from Phinq //it has a getKey() method which returns the key used to perform the grouping $obj = new stdClass(); $obj->people = $grouping; $obj->region = $grouping->getKey(); return $obj; })->orderBy(function($obj) { return $obj->people->count(); }, true /* descending */) ->aggregate(function($current, $next) { $count = $next->people->count(); return $current . sprintf( "%d %s (%s) live in the %s region\n", $count, $count === 1 ? 'person' : 'people', $next->people->aggregate(function($current, $next) { if ($current !== null) { $current .= ', '; } return $current . sprintf('%s [%s]', $next->name, $next->residence->code); }), $next->region ); }); /* 2 people (Bobby [WA], Joey [WA]) live in the NW region 1 person (Dubya [TX]) live in the S region 1 person (Tommy [CA]) live in the SW region 1 person (Jerry [NY]) live in the NE region */
The C# equivalent would be approximately:, (*5)
```c# people .GroupBy(person => person.Residence.Region) .Select(grouping => new { Region = grouping.Key, People = grouping }) .OrderBy(obj => obj.People.Count()) .Aggregate((current, next) => { var count = next.People.Count(); return current + string.Format( "{0} {1} ({2}) live in the {3} region", count, count == 1 ? "person" : "people", next.People.Aggregate((personString, nextPerson) { if (!string.IsNullOrEmpty(personString)) { personString += ", "; }, (*6)
return personString + string.Format("{0} [{1}]", nextPerson.Name, nextPerson.Residence.Code); }), next.Region );
}); ```, (*7)
Aggregate()
All()
Any()
Average()
Cast()
Concat()
Contains()
Count()
DefaultIfEmpty()
Distinct()
ElementAt()
ElementAtOrDefault()
Except()
First()
FirstOrDefault()
GroupBy()
GroupJoin()
Intersect()
Join()
Last()
LastOrDefault()
Max()
Min()
OfType()
OrderBy()
Reverse()
Select()
SelectMany()
SequenceEqual()
Single()
SingleOrDefault()
Skip()
SkipWhile()
Sum()
Take()
TakeWhile()
ThenBy()
ToArray()
ToDictionary()
Union()
Where()
Zip()
Extra methods:, (*8)
between()
none()
random()
walk()
LINQ methods to be implemented: None., (*9)
LINQ methods not implemented:, (*10)
AsEnumerable()
AsParallel()
AsQueryable()
LongCount()
OrderByDescending()
- implemented as an optional argument to orderBy()ThenByDescending()
- implemented as an optional argument to thenBy()ToList()
ToLookup()
A library for querying data and performing statistical operations in an logical, object-oriented fashion.
MIT
query statistic linq phinq