使用 GRDB,使用原始 sql 但以方便的形式使用结果?
With GRDB, use raw sql BUT consume the results in the convenience form?
这是一个示例 SQL 您无法使用 GRDB 中的便捷构建器构建的查询...
let q = "job.id, job.name, job.city,
ifnull(jobcategory.value, 'no category'),
ifnull(jobpriority.value, 'no priority'),
from job
left join jobcategory on job.category = jobcategory.id
left join jobpriority on job.priority = jobpriority.id
where job.user = 13"
(事实上,我举了一个例子,你不能在任何旧的、支持较少的库中构建 iOS Swift SQL 库)
然后是
for ..
let id = ..
let name = ..
let city = ..
let category = ..
let priority = ..
我听说对于 GRDB,您实际上可以使用原始的 SQL(即实际上什至不使用 GRDB 的查询构建器),但是,结果 仍然使用便利消费*,兼顾品类等
如果是这样,实际上你是如何在例子中做到这一点的?
GRDB 提供查询生成器:
let persons = try Person.filter(emailColumn != nil).fetchAll(db) // [Person]
它也理解SQL:
let persons = try Person.fetchAll(db, "SELECT * FROM persons WHERE email IS NOT NULL")
上面的两个代码片段都将数据库行转换为 Person 实例。 RowConvertible
协议和 GRDB 提供的全功能 Record
class 支持这种转换。下面的代码使用协议:
struct Person {
let email: String
let name: String
}
extension Person : RowConvertible {
init(row: Row) {
email = row.value(named: "email")
name = row.value(named: "name")
}
}
init(row:)
构造函数用于 "query interface" 请求 Person.filter(...).fetchAll(db)
和 SQL 请求 Person.fetchAll(db, "SELECT ...")
.
这就是当你想使用raw时GRDB不会惩罚你的意思SQL。您的自定义记录类型支持开箱即用的查询接口请求和 SQL 请求。使用这两种技术获取记录同样容易:
// Two one-liners:
let persons = try Person.filter(emailColumn != nil).fetchAll(db)
let persons = try Person.fetchAll(db, "SELECT * FROM persons WHERE email IS NOT NULL")
现在,你的例子可以写成:
struct Job {
let id: Int64
let name: String
let city: String
let category: String
let priority: String
}
extension Job : RowConvertible {
init(row: Row) {
id = row.value(named: "id")
name = row.value(named: "name")
city = row.value(named: "city")
category = row.value(named: "category")
priority = row.value(named: "priority")
}
}
try dbQueue.inDatabase { db in
let q = "SELECT job.id, job.name, job.city, " +
" IFNULL(jobcategory.value, 'no category') AS category, " +
" IFNULL(jobpriority.value, 'no priority') AS priority " +
"FROM job " +
"LEFT JOIN jobcategory ON job.category = jobcategory.id " +
"LEFT JOIN jobpriority ON job.priority = jobpriority.id " +
"WHERE job.user = 13"
let jobs = try Job.fetchAll(db, q)
}
由于类别和优先级不是作业的列,您可能更愿意将上述结构一分为二:
struct Job {
let id: Int64
let name: String
let city: String
}
struct ExtendedJob {
let job: Job
let category: String
let priority: String
}
extension Job : RowConvertible {
init(row: Row) {
id = row.value(named: "id")
name = row.value(named: "name")
city = row.value(named: "city")
}
}
extension ExtendedJob : RowConvertible {
init(row: Row) {
job = Job(row: row)
category = row.value(named: "category")
priority = row.value(named: "priority")
}
}
try dbQueue.inDatabase { db in
let q = "SELECT job.id, job.name, job.city, " +
" IFNULL(jobcategory.value, 'no category') AS category, " +
" IFNULL(jobpriority.value, 'no priority') AS priority " +
"FROM job " +
"LEFT JOIN jobcategory ON job.category = jobcategory.id " +
"LEFT JOIN jobpriority ON job.priority = jobpriority.id " +
"WHERE job.user = 13"
let jobs = try ExtendedJob.fetchAll(db, q)
}
您最终可以将自定义 SQL 查询封装在 "custom requests":
中
extension ExtendedJob {
static func filter(userId: Int64) -> AnyTypedRequest<ExtendedJob> {
let request = SQLRequest(
"SELECT job.id, job.name, job.city, " +
" IFNULL(jobcategory.value, 'no category') AS category, " +
" IFNULL(jobpriority.value, 'no priority') AS priority " +
"FROM job " +
"LEFT JOIN jobcategory ON job.category = jobcategory.id " +
"LEFT JOIN jobpriority ON job.priority = jobpriority.id " +
"WHERE job.user = ?",
arguments: [userId])
return request.asRequest(of: ExtendedJob.self)
}
}
// No SQL in sight:
let jobs = try dbQueue.inDatabase { db in
try ExtendedJob.filter(userId: 13).fetchAll(db)
}
这是一个示例 SQL 您无法使用 GRDB 中的便捷构建器构建的查询...
let q = "job.id, job.name, job.city,
ifnull(jobcategory.value, 'no category'),
ifnull(jobpriority.value, 'no priority'),
from job
left join jobcategory on job.category = jobcategory.id
left join jobpriority on job.priority = jobpriority.id
where job.user = 13"
(事实上,我举了一个例子,你不能在任何旧的、支持较少的库中构建 iOS Swift SQL 库)
然后是
for ..
let id = ..
let name = ..
let city = ..
let category = ..
let priority = ..
我听说对于 GRDB,您实际上可以使用原始的 SQL(即实际上什至不使用 GRDB 的查询构建器),但是,结果 仍然使用便利消费*,兼顾品类等
如果是这样,实际上你是如何在例子中做到这一点的?
GRDB 提供查询生成器:
let persons = try Person.filter(emailColumn != nil).fetchAll(db) // [Person]
它也理解SQL:
let persons = try Person.fetchAll(db, "SELECT * FROM persons WHERE email IS NOT NULL")
上面的两个代码片段都将数据库行转换为 Person 实例。 RowConvertible
协议和 GRDB 提供的全功能 Record
class 支持这种转换。下面的代码使用协议:
struct Person {
let email: String
let name: String
}
extension Person : RowConvertible {
init(row: Row) {
email = row.value(named: "email")
name = row.value(named: "name")
}
}
init(row:)
构造函数用于 "query interface" 请求 Person.filter(...).fetchAll(db)
和 SQL 请求 Person.fetchAll(db, "SELECT ...")
.
这就是当你想使用raw时GRDB不会惩罚你的意思SQL。您的自定义记录类型支持开箱即用的查询接口请求和 SQL 请求。使用这两种技术获取记录同样容易:
// Two one-liners:
let persons = try Person.filter(emailColumn != nil).fetchAll(db)
let persons = try Person.fetchAll(db, "SELECT * FROM persons WHERE email IS NOT NULL")
现在,你的例子可以写成:
struct Job {
let id: Int64
let name: String
let city: String
let category: String
let priority: String
}
extension Job : RowConvertible {
init(row: Row) {
id = row.value(named: "id")
name = row.value(named: "name")
city = row.value(named: "city")
category = row.value(named: "category")
priority = row.value(named: "priority")
}
}
try dbQueue.inDatabase { db in
let q = "SELECT job.id, job.name, job.city, " +
" IFNULL(jobcategory.value, 'no category') AS category, " +
" IFNULL(jobpriority.value, 'no priority') AS priority " +
"FROM job " +
"LEFT JOIN jobcategory ON job.category = jobcategory.id " +
"LEFT JOIN jobpriority ON job.priority = jobpriority.id " +
"WHERE job.user = 13"
let jobs = try Job.fetchAll(db, q)
}
由于类别和优先级不是作业的列,您可能更愿意将上述结构一分为二:
struct Job {
let id: Int64
let name: String
let city: String
}
struct ExtendedJob {
let job: Job
let category: String
let priority: String
}
extension Job : RowConvertible {
init(row: Row) {
id = row.value(named: "id")
name = row.value(named: "name")
city = row.value(named: "city")
}
}
extension ExtendedJob : RowConvertible {
init(row: Row) {
job = Job(row: row)
category = row.value(named: "category")
priority = row.value(named: "priority")
}
}
try dbQueue.inDatabase { db in
let q = "SELECT job.id, job.name, job.city, " +
" IFNULL(jobcategory.value, 'no category') AS category, " +
" IFNULL(jobpriority.value, 'no priority') AS priority " +
"FROM job " +
"LEFT JOIN jobcategory ON job.category = jobcategory.id " +
"LEFT JOIN jobpriority ON job.priority = jobpriority.id " +
"WHERE job.user = 13"
let jobs = try ExtendedJob.fetchAll(db, q)
}
您最终可以将自定义 SQL 查询封装在 "custom requests":
中extension ExtendedJob {
static func filter(userId: Int64) -> AnyTypedRequest<ExtendedJob> {
let request = SQLRequest(
"SELECT job.id, job.name, job.city, " +
" IFNULL(jobcategory.value, 'no category') AS category, " +
" IFNULL(jobpriority.value, 'no priority') AS priority " +
"FROM job " +
"LEFT JOIN jobcategory ON job.category = jobcategory.id " +
"LEFT JOIN jobpriority ON job.priority = jobpriority.id " +
"WHERE job.user = ?",
arguments: [userId])
return request.asRequest(of: ExtendedJob.self)
}
}
// No SQL in sight:
let jobs = try dbQueue.inDatabase { db in
try ExtendedJob.filter(userId: 13).fetchAll(db)
}