3.9 KiB
3.9 KiB
hyperf-mongodb
介绍
基于hyperf的mongodb连接池组件,暂不支持协程。基于composer项目yumufeng/hyperf-mongodb和项目mongodb/mongodb做了个性化的优化。
hyperf mongodb pool
composer require adamchen1208/hyperf-mongodb
config
在/config/autoload目录里面创建文件 mongodb.php 添加以下内容
return [
'default' => [
'username' => env('MONGODB_USERNAME', ''),
'password' => env('MONGODB_PASSWORD', ''),
'host' => env('MONGODB_HOST', '127.0.0.1'),
'port' => env('MONGODB_PORT', 27017),
'db' => env('MONGODB_DB', 'test'),
'authMechanism' => 'SCRAM-SHA-256',
//设置复制集,没有不设置
//'replica' => 'rs0',
'pool' => [
'min_connections' => 3,
'max_connections' => 1000,
'connect_timeout' => 10.0,
'wait_timeout' => 3.0,
'heartbeat' => -1,
'max_idle_time' => (float) env('MONGODB_MAX_IDLE_TIME', 60),
],
],
];
使用案例
使用注解,自动加载 \Hyperf\Mongodb\Mongodb
/**
* @Inject()
* @var Mongodb
*/
protected $mongodb;
tips:
查询的值,是严格区分类型,string、int类型的哦
查询一条数据
$where = ['_id' => '1'];
$result = $this->$mongodb->findOne('test', $where);
查询全部数据
$where = ['_id' => '1'];
$result = $this->$mongodb->findAll('test', $where);
分页查询
$list = $this->$mongodb->findPagination('article', 10, 0, ['author' => $author]);
查询一条数据(_id自动转对象)
$where = ['_id' => '1'];
$result = $this->$mongodb->fetchOne('test', $where);
查询全部数据(_id自动转对象)
$where = ['_id' => '1'];
$result = $this->$mongodb->fetchAll('test', $where);
分页查询(_id自动转对象)
$list = $this->$mongodb->fetchPagination('article', 10, 0, ['author' => $author]);
插入一条数据
$insert = [
'_id' => '',
'password' => ''
];
$this->$mongodb->insert('test',$insert);
插入批量数据
$insert = [
[
'_id' => '',
'password' => ''
],
[
'_id' => '',
'password' => ''
]
];
$this->$mongodb->insertAll('test',$insert);
更新
$where = ['_id'=>'1112313423'];
$updateData = [];
$this->$mongodb->updateColumn('test', $where,$updateData); // 只更新数据满足$where的行的列信息中在$newObject中出现过的字段
$this->$mongodb->updateRow('test',$where,$updateData);// 更新数据满足$where的行的信息成$newObject
删除
$where = ['_id'=>'1112313423'];
$all = true; // 为false只删除匹配的一条,true删除多条
$this->$mongodb->delete('test',$where,$all);
统计
$filter = ['isGroup' => "0", 'wechat' => '15584044700'];
$count = $this->$mongodb->count('test', $filter);
聚合查询
sql 和 mongodb 关系对比图
SQL | MongoDb |
---|---|
WHERE | $match (match里面可以用and,or,以及逻辑判断,但是好像不能用where) |
GROUP BY | $group |
HAVING | $match |
SELECT | $project |
ORDER BY | $sort |
LIMIT | $limit |
SUM() | $sum |
COUNT() | $sum |
$pipeline= [
[
'$match' => $where
], [
'$group' => [
'_id' => [],
'groupCount' => [
'$sum' => '$groupCount'
]
]
], [
'$project' => [
'groupCount' => '$groupCount',
'_id' => 0
]
]
];
$count = $this->$mongodb->command('test', $pipeline);