anorm

问题 I have a table with nullable column, and when query the null column, it threw error val row: List[(String,String)] = SQL("select top 10 Spare_Part part,Pricing_Category cat from Price_Point_Base") .as((str("part"))~ str("cat") map(flatten) *) I checked the link https://www.playframework.com/documentation/2.0/ScalaAnorm . It only gives away to handle nullable column using something like SQL("Select name,indepYear from Country")().map { row => row[String]("name") -> row[Option[Int]]("indepYear"

问题 I try to save timestamp field to postgresql using anorm. In scala code date/time stored as instance of java.time.Instant (someTime variable) DB.withConnection() { implicit c => SQL("INSERT INTO t_table(some_time) values ({someTime})").on('someTime -> someTime) } But anorm can't work with it now (Play 2.3.7). What is the best way to make it work? 回答1: I believe most people are using JodaTime so might explain why its missing. If its not part of Anorm you can write your own converter. This is

问题 Anorm 2.5.2 and java.time LocalDateTime as date val users = SQL( s"SELECT * FROM user WHERE name={name} AND registered_date={registeredDate}").on( "name" -> user.name, "registeredDate" -> user.registeredDate ).executeQuery().as(userParser.*) I found that even though I have a same name1 and same datetime(moment) in the database, the query returns empty users - can not find/match it . So it seems It can not compare by datetime. Why it could be? I was able to insert local-date-time correctly

问题 I am using anorm with play-scala and have execute queries using: val result = SQL("SELECT * FROM users)() What I have been doing is the following: val queryResult = SQL(query)().map(result => result.asList ).toList However, I have realized that instead of converting it to a list, I want to actually receive JSON. Since I may change the query, I would like the ability for a JSON serializer that takes in any result and understands the column names and convert them and the results into JSON. EDIT

问题 Consider a repository/DAO method like this, which works great: def countReports(customerId: Long, createdSince: ZonedDateTime) = DB.withConnection { implicit c => SQL"""SELECT COUNT(*) FROM report WHERE customer_id = $customerId AND created >= $createdSince """.as(scalar[Int].single) } But what if the method is defined with optional parameters : def countReports(customerId: Option[Long], createdSince: Option[ZonedDateTime]) Point being, if either optional argument is present, use it in

问题 I have a PlayFramework server (with Anorm) which operates against a database with several schemas, all of them with the same tables. Most of my "access to database" functions look like: def findById(zoneName: String, id: Long): Option[Employee] = { DB.withConnection { implicit connection => SQL("""select * from """+zoneName+"""employee where employee._id = {id}""" .on( '_id -> id ).as(simpleParser.singleOpt) } } But I know this is a wrong approach, because it is not SQL-Injection-safe and of

问题 I am trying to return a list of results using Anorm using a query that returns matching rows for a set of ids. Eg. select * from example where id in (1,2,3,4,5) If I try SQL( """ select * from example where id in ({ids}) """ ).on('ids -> ids).as(int("id") ~ str("name") *) where ids is the String "1,2,3,4,5" it will only return the first row. What is the correct way to inject the set of ids? 回答1: There's no simple way of doing it AFAIK. This is how I solved it: def findSomething(ids: String) =

问题 I'm using anorm 2.4 in play framework 2.3 backed postgresql 9.4 Give a model like this: case class EmailQueue(id:UUID, send_from:String, send_to:String, subject:String, body:String, created_date:Date, is_sent:Boolean, email_template:String) This is my parser: val parser: RowParser[EmailQueue] = { get[UUID]("id") ~ get[String]("send_from") ~ get[String]("send_to") ~ get[String]("subject") ~ get[String]("body") ~ get[Date]("created_date") ~ get[Boolean]("is_sent") ~ get[String]("email_template"

问题 I have been using Play framework 2.0 for about 6 months, I have been wondering why they use so many boilerplate code to parse from my SQL query returns, like below: case class Journal_accountDetail(amount: Double, states: Boolean) val Journal_AccountParser: RowParser[Journal_accountDetail] = { get[Double] ("amount") ~ get[Boolean] ("states") map({ case amount~states => Journal_accountDetail(amount,states) }) } Is it something that boost Play framework performance ?? 回答1: The parsing API can

问题 Suppose I have the following two classes: case class User(id: Long, name: String) case class Message(id: Long, body: String, to: User, from: User) The RowParser s might look something like this: val parser: RowParser[User] = { get[Long]("users.id") ~ get[String]("users.name") map { case id~name => User(id, name) } } val parser: RowParser[Message] = { get[Long]("messages.id") ~ get[String]("messages.name") ~ User.parser ~ User.parser map { case id~body~to~from => Message(id, body, to, from) }