Collection Url
MongoDB\Collection Class — PHP Library Manual 1.10-dev
docs.mongodb.com
1. Insert
1-1) insertOne
$insertOneResult = $collection->insertOne(['_id' => 1, 'name' => 'Alice']);
_id : _id 추가시 데이터 id값 생성 가능
1-2) insertMany
$insertManyResult = $collection->insertMany([
[
'username' => 'admin',
'email' => 'admin@example.com',
'name' => 'Admin User',
],
[
'username' => 'test',
'email' => 'test@example.com',
'name' => 'Test User',
],
]);
1-3) getInsertedCount
$insertManyResult->getInsertedCount()
Inserted 2 document(s)
1-4) getInsertedIds
$insertManyResult->getInsertedIds()
array(2) {
[0]=>
object(MongoDB\BSON\ObjectId)#11 (1) {
["oid"]=>
string(24) "579a25921f417dd1e5518141"
}
[1]=>
object(MongoDB\BSON\ObjectId)#12 (1) {
["oid"]=>
string(24) "579a25921f417dd1e5518142"
}
}
2. Query Documents
2-1) findOne
$document = $collection->findOne(['_id' => '94301']);
object(MongoDB\Model\BSONDocument)#13 (1) {
["storage":"ArrayObject":private]=>
array(5) {
["_id"]=>
string(5) "94301"
["city"]=>
string(9) "PALO ALTO"
}
}
2-2) find
find()는 MongoDB\Driver\Cursor 객체 반환
$cursor = $collection->find(['city' => 'JERSEY CITY', 'state' => 'NJ']);
foreach ($cursor as $document) {
echo $document['_id'], "\n";
}
07302
07304
07305
07306
07307
07310
2-3) projection
결과값에서 원하는 필드값만 볼 수 있다.
$cursor = $collection->find(
[
'cuisine' => 'Italian',
'borough' => 'Manhattan',
],
[
'projection' => [
'name' => 1,
'borough' => 1,
'cuisine' => 1,
]
]
);
foreach($cursor as $restaurant) {
var_dump($restaurant);
};
object(MongoDB\Model\BSONDocument)#10 (1) {
["storage":"ArrayObject":private]=>
array(4) {
["_id"]=>
object(MongoDB\BSON\ObjectId)#8 (1) {
["oid"]=>
string(24) "576023c6b02fa9281da3f983"
}
["borough"]=>
string(9) "Manhattan"
["cuisine"]=>
string(7) "Italian"
["name"]=>
string(23) "Isle Of Capri Resturant"
}
}
object(MongoDB\Model\BSONDocument)#13 (1) {
["storage":"ArrayObject":private]=>
array(4) {
["_id"]=>
object(MongoDB\BSON\ObjectId)#12 (1) {
["oid"]=>
string(24) "576023c6b02fa9281da3f98d"
}
["borough"]=>
string(9) "Manhattan"
["cuisine"]=>
string(7) "Italian"
["name"]=>
string(18) "Marchis Restaurant"
}
}
2-4) option
limit / sort / skip
$cursor = $collection->find(
[],
[
'limit' => 5,
'sort' => ['pop' => -1],
]
);
foreach ($cursor as $document) {
printf("%s: %s, %s\n", $document['_id'], $document['city'], $document['state']);
}
60623: CHICAGO, IL
11226: BROOKLYN, NY
10021: NEW YORK, NY
10025: NEW YORK, NY
90201: BELL GARDENS, CA
2-5) regex
$cursor = $collection->find([
'city' => new MongoDB\BSON\Regex('^garden', 'i'),
'state' => 'TX',
]);
foreach ($cursor as $document) {
printf("%s: %s, %s\n", $document['_id'], $document['city'], $document['state']);
}
78266: GARDEN RIDGE, TX
79739: GARDEN CITY, TX
79758: GARDENDALE, TX
2-6) aggregate
데이터 처리 파이프라인의 개념을 모델로 한다.
여러 단계의 파이프라인을 거쳐 연산 후 하나의 문서로 집계
$cursor = $collection->aggregate([
['$group' => ['_id' => '$state', 'count' => ['$sum' => 1]]],
['$sort' => ['count' => -1]],
['$limit' => 5],
]);
foreach ($cursor as $state) {
printf("%s has %d zip codes\n", $state['_id'], $state['count']);
}
TX has 1671 zip codes
NY has 1595 zip codes
CA has 1516 zip codes
PA has 1458 zip codes
IL has 1237 zip codes
3. Update
3-1) updateOne
MongoDB\UpdateResult 객체 반환
$collection->insertOne(['name' => 'Bob', 'state' => 'ny']);
$collection->insertOne(['name' => 'Alice', 'state' => 'ny']);
$updateResult = $collection->updateOne(
['state' => 'ny'],
['$set' => ['country' => 'us']]
);
printf("Matched %d document(s)\n", $updateResult->getMatchedCount());
printf("Modified %d document(s)\n", $updateResult->getModifiedCount());
Matched 1 document(s)
Modified 1 document(s)
3-2) updateMany
$collection->insertOne(['name' => 'Bob', 'state' => 'ny', 'country' => 'us']);
$collection->insertOne(['name' => 'Alice', 'state' => 'ny']);
$collection->insertOne(['name' => 'Sam', 'state' => 'ny']);
$updateResult = $collection->updateMany(
['state' => 'ny'],
['$set' => ['country' => 'us']]
);
printf("Matched %d document(s)\n", $updateResult->getMatchedCount());
printf("Modified %d document(s)\n", $updateResult->getModifiedCount());
Matched 3 document(s)
Modified 2 document(s)
3-3) replaceOne
MongoDB\UpdateResult 인스턴스 반환하므로 통계에 접근 가능
$collection->insertOne(['name' => 'Bob', 'state' => 'ny']);
$updateResult = $collection->replaceOne(
['name' => 'Bob'],
['name' => 'Robert', 'state' => 'ca']
);
printf("Matched %d document(s)\n", $updateResult->getMatchedCount());
printf("Modified %d document(s)\n", $updateResult->getModifiedCount());
Matched 1 document(s)
Modified 1 document(s)
3-4) option
upsert
일치하는 문서가 없다면 새로운 문서를 생성하여 삽입
$updateResult = $collection->updateOne(
['name' => 'Bob'],
['$set' => ['state' => 'ny']],
['upsert' => true]
);
printf("Matched %d document(s)\n", $updateResult->getMatchedCount());
printf("Modified %d document(s)\n", $updateResult->getModifiedCount());
printf("Upserted %d document(s)\n", $updateResult->getUpsertedCount());
$upsertedDocument = $collection->findOne([
'_id' => $updateResult->getUpsertedId(),
]);
Matched 0 document(s)
Modified 0 document(s)
Upserted 1 document(s)
object(MongoDB\Model\BSONDocument)#16 (1) {
["storage":"ArrayObject":private]=>
array(3) {
["_id"]=>
object(MongoDB\BSON\ObjectId)#15 (1) {
["oid"]=>
string(24) "57509c4406d7241dad86e7c3"
}
["name"]=>
string(3) "Bob"
["state"]=>
string(2) "ny"
}
}
3-5) getMatchedCount
3-6) getModifiedCount
3-7) getUpsertedCount
4. Delete
4-1) deleteOne
MongoDB\DeleteResult 객체 반환
$collection->insertOne(['name' => 'Bob', 'state' => 'ny']);
$collection->insertOne(['name' => 'Alice', 'state' => 'ny']);
$deleteResult = $collection->deleteOne(['state' => 'ny']);
printf("Deleted %d document(s)\n", $deleteResult->getDeletedCount());
Deleted 1 document(s)
4-2) deleteMany
$collection->insertOne(['name' => 'Bob', 'state' => 'ny']);
$collection->insertOne(['name' => 'Alice', 'state' => 'ny']);
$deleteResult = $collection->deleteMany(['state' => 'ny']);
printf("Deleted %d document(s)\n", $deleteResult->getDeletedCount());
Deleted 2 document(s)
4-3) getDeletedCount