The scenario is similar to the question at How to better parse the same table twice with Anorm? however the described solutions on that question can no longer be used.
On the scenario where a Message has 2 users I need to parse the from_user and to_user with SQL joins.
case class User(id: Long, name: String)
case class Message(id: Long, body: String, to: User, from: User)
def userParser(alias: String): RowParser[User] = {
get[Long](alias + "_id") ~ get[String](alias + "_name") map {
case id~name => User(id, name)
}
}
val parser: RowParser[Message] = {
userParser("from_user") ~
userParser("to_user") ~
get[Long]("messages.id") ~
get[String]("messages.name") map {
case from~to~id~body => Message(id, body, to, from)
}
}
// More alias here possible ?
val aliaser: ColumnAliaser = ColumnAliaser.withPattern((0 to 2).toSet, "from_user.")
SQL"""
SELECT from_user.* , to_user.*, message.* FROM MESSAGE
JOIN USER from_user on from_user.id = message_from_user_id
JOIN USER to_user on to_user.id = message.to_user
"""
.asTry(parser, aliaser)
If I'm right thinking you want to apply multiple ColumnAliaser with different aliasing policies to the same query, it's important to understand that ColumnAliaser is "just" a specific implementation of Function[(Int, ColumnName), Option[String]], so it can be defined/composed as any Function, and is simplified by the factory functions in its companion object.
import anorm.{ ColumnAliaser, ColumnName }
val aliaser = new ColumnAliaser {
def as1 = ColumnAliaser.withPattern((0 to 2).toSet, "from_user.")
def as2 = ColumnAliaser.withPattern((2 to 4).toSet, "to_user.")
def apply(column: (Int, ColumnName)): Option[String] =
as1(column).orElse(as2(column))
}
Related
I have 2 case classes like this :
case class ClassTeacherWrapper(
success: Boolean,
classes: List[ClassTeacher]
)
2nd one :
case class ClassTeacher(
clid: String,
name: String
)
And a query like this :
val query =
SQL"""
SELECT
s.section_sk::text AS clid,
s.name AS name
from
********************
"""
P.S. I put * in place of query for security reasons :
So my query is returning 2 values. How do i map it to case class ClassTeacher
currently I am doing something like this :
def getClassTeachersByInstructor(instructor: String, section: String): ClassTeacherWrapper = {
implicit var conn: Connection = null
try {
conn = datamartDatasourceConnectionPool.getDBConnection()
// Define query
val query =
SQL"""
SELECT
s.section_sk::text AS clid,
s.name AS name
********
"""
logger.info("Read from DB: " + query)
// create a List containing all the datasets from the resultset and return
new ClassTeacherWrapper(
success =true,
query.as(Macro.namedParser[ClassTeacher].*)
)
//Trying new approch
//val users = query.map(user => new ClassTeacherWrapper(true, user[Int]("clid"), user[String]("name")).tolist
}
catch {
case NonFatal(e) =>
logger.error("getGradebookScores: error getting/parsing data from DB", e)
throw e
}
}
with is I am getting this exception :
{
"error": "ERROR: operator does not exist: uuid = character varying\n
Hint: No operator matches the given name and argument type(s). You
might need to add explicit type casts.\n Position: 324"
}
Can anyone help where am I going wrong. I am new to scala and Anorm
What should I modify in query.as part of code
Do you need the success field? Often an empty list would suffice?
I find parsers very useful (and reusable), so something like the following in the ClassTeacher singleton (or similar location):
val fields = "s.section_sk::text AS clid, s.name"
val classTeacherP =
get[Int]("clid") ~
get[String]("name") map {
case clid ~ name =>
ClassTeacher(clid,name)
}
def allForInstructorSection(instructor: String, section: String):List[ClassTeacher] =
DB.withConnection { implicit c => //-- or injected db
SQL(s"""select $fields from ******""")
.on('instructor -> instructor, 'section -> section)
.as(classTeacherP *)
}
I'm trying to model the following with Slick 3.1.0;
case class Review(txt: String, userId: Long, id: Long)
case class User(name: String, id: Long)
case class ReviewEvent(event: String, reviewId: Long)
I need to populate a class called a FullReview, which looks like;
case class FullReview(r: Review, user: User, evts: Seq[ReviewEvent])
Assuming I have the right tables for each of the models, I'm trying to fetch a FullReview using a combination of join and group by, like so:
val withUser = for {
(r, u) <- RTable join UTable on (_.userId === _.id)
}
val withUAndEvts = (for {
((r, user), evts) <- withUser joinLeft ETable on {
case ((r, _), ev) => r.id === ev.reviewId
}
} yield (r, user, events)).groupBy(_._1._id)
This seems to yield, when a nested Query type, from what I can see. What am I doing wrong here?
If I understand you correctly, you can use following example:
val users = TableQuery[Users]
val reviews = TableQuery[Reviews]
val events = TableQuery[ReviewEvents]
override def findAllReviews(): Future[Seq[FullReview]] = {
val query = reviews
.join(users).on(_.userId === _.id)
.joinLeft(events).on(_._1.id === _.reviewId)
db.run(query.result).map { a =>
a.groupBy(_._1._1.id).map { case (_, tuples) =>
val ((review, user), _) = tuples.head
val reviewEvents = tuples.flatMap(_._2)
FullReview(review, user, reviewEvents)
}.toSeq
}
}
If you want to add pagination to this request, I've already answered here and here is full example.
From some tinkering around, I figured it would just be better to do the aggregation on the client. What that would mean, indirectly, is that if 100 rows on the table ETable would match a single row on the RTable, you would get multiple rows on the client. The client then has to implement its own aggregation to group all the ReviewEvent by Review.
As far as pagination is concerned, you may do something like;
def withUser(page: Int, pageSize: Int) = for {
(r, u) <- RTable.drop(page * pageSize).take(pageSize) join UTable on (_.userId === _.id)
}
I guess this is elegant enough for now. If someone has a better answer, I'd be happy to hear it.
Let's say I have a table:
object Suppliers extends Table[(Int, String, String, String)]("SUPPLIERS") {
def id = column[Int]("SUP_ID", O.PrimaryKey)
def name = column[String]("SUP_NAME")
def state = column[String]("STATE")
def zip = column[String]("ZIP")
def * = id ~ name ~ state ~ zip
}
Table's database name
The table's database name can be accessed by going: Suppliers.tableName
This is supported by the Scaladoc on AbstractTable.
For example, the above table's database name is "SUPPLIERS".
Columns' database names
Looking through AbstractTable, getLinearizedNodes and indexes looked promising. No column names in their string representations though.
I assume that * means "all the columns I'm usually interested in." * is a MappedProjection, which has this signature:
final case class MappedProjection[T, P <: Product](
child: Node,
f: (P) ⇒ T,
g: (T) ⇒ Option[P])(proj: Projection[P])
extends ColumnBase[T] with UnaryNode with Product with Serializable
*.getLinearizedNodes contains a huge sequence of numbers, and I realized that at this point I'm just doing a brute force inspection of everything in the API for possibly finding the column names in the String.
Has anybody also encountered this problem before, or could anybody give me a better understanding of how MappedProjection works?
It requires you to rely on Slick internals, which may change between versions, but it is possible. Here is how it works for Slick 1.0.1: You have to go via the FieldSymbol. Then you can extract the information you want like how columnInfo(driver: JdbcDriver, column: FieldSymbol): ColumnInfo does it.
To get a FieldSymbol from a Column you can use fieldSym(node: Node): Option[FieldSymbol] and fieldSym(column: Column[_]): FieldSymbol.
To get the (qualified) column names you can simply do the following:
Suppliers.id.toString
Suppliers.name.toString
Suppliers.state.toString
Suppliers.zip.toString
It's not explicitly stated anywhere that the toString will yield the column name, so your question is a valid one.
Now, if you want to programmatically get all the column names, then that's a bit harder. You could try using reflection to get all the methods that return a Column[_] and call toString on them, but it wouldn't be elegant. Or you could hack a bit and get a select * SQL statement from a query like this:
val selectStatement = DB withSession {
Query(Suppliers).selectStatement
}
And then parse our the column names.
This is the best I could do. If someone knows a better way then please share - I'm interested too ;)
Code is based on Lightbend Activator "slick-http-app".
slick version: 3.1.1
Added this method to the BaseDal:
def getColumns(): mutable.Map[String, Type] = {
val columns = mutable.Map.empty[String, Type]
def selectType(t: Any): Option[Any] = t match {
case t: TableExpansion => Some(t.columns)
case t: Select => Some(t.field)
case _ => None
}
def selectArray(t:Any): Option[ConstArray[Node]] = t match {
case t: TypeMapping => Some(t.child.children)
case _ => None
}
def selectFieldSymbol(t:Any): Option[FieldSymbol] = t match {
case t: FieldSymbol => Some(t)
case _ => None
}
val t = selectType(tableQ.toNode)
val c = selectArray(t.get)
for (se <- c.get) {
val col = selectType(se)
val fs = selectFieldSymbol(col.get)
columns += (fs.get.name -> fs.get.tpe)
}
columns
}
this method gets the column names (real names in DB) + types form the TableQ
used imports are:
import slick.ast._
import slick.util.ConstArray
I'm trying to use Slick to query a many-to-many relationship, but I'm running into a variety of errors, the most prominent being "Don't know how to unpack (User, Skill) to T and pack to G".
The structure of the tables is similar to the following:
case class User(val name: String, val picture: Option[URL], val id: Option[UUID])
object Users extends Table[User]("users") {
def name = column[String]("name")
def picture = column[Option[URL]]("picture")
def id = column[UUID]("id")
def * = name ~ picture ~ id.? <> (User, User.unapply _)
}
case class Skill(val name: String, val id: Option[UUID])
object Skills extends Table[Skill]("skill") {
def name = column[String]("name")
def id = column[UUID]("id")
def * = name ~ id.? <> (Skill, Skill.unapply _)
}
case class UserSkill(val userId: UUID, val skillId: UUID, val id: Option[UUID])
object UserSkills extends Table[UserSkill]("user_skill") {
def userId = column[UUID]("userId")
def skillId = column[UUID]("skillId")
def id = column[UUID]("id")
def * = userId ~ skillId ~ id.? <> (UserSkill, UserSkill.unapply _)
def user = foreignKey("userFK", userId, Users)(_.id)
def skill = foreignKey("skillFK", skillId, Skills)(_.id)
}
Ultimately, what I want to achieve is something of the form
SELECT u.*, group_concat(s.name) FROM user_skill us, users u, skills s WHERE us.skillId = s.id && us.userId = u.id GROUP BY u.id
but before I spend the time trying to get group_concat to work as well, I have been trying to produce the simpler query (which I believe is still valid...)
SELECT u.* FROM user_skill us, users u, skills s WHERE us.skillId = s.id && us.userId = u.id GROUP BY u.id
I've tried a variety of scala code to produce this query, but an example of what causes the shape error above is
(for {
us <- UserSkills
user <- us.user
skill <- us.skill
} yield (user, skill)).groupBy(_._1.id).map { case(_, xs) => xs.first }
Similarly, the following produces a packing error regarding "User" instead of "(User, Skill)"
(for {
us <- UserSkills
user <- us.user
skill <- us.skill
} yield (user, skill)).groupBy(_._1.id).map { case(_, xs) => xs.map(_._1).first }
If anyone has any suggestions, I would be very grateful: I've spent most of today and yesterday scouring google/google groups as well as the slick source, but I haven't a solution yet.
(Also, I'm using postgre so group_concat would actually be string_agg)
EDIT
So it seems like when groupBy is used, the mapped projection gets applied because something like
(for {
us <- UserSkills
u <- us.user
s <- us.skill
} yield (u,s)).map(_._1)
works fine because _._1 gives the type Users, which has a Shape since Users is a table. However, when we call xs.first (as we do when we call groupBy), we actually get back a mapped projection type (User, Skill), or if we apply map(_._1) first, we get the type User, which is not Users! As far as I can tell, there is no shape with User as the mixed type because the only shapes defined are for Shape[Column[T], T, Column[T]] and for a table T <: TableNode, Shape[T, NothingContainer#TableNothing, T] as defined in slick.lifted.Shape. Furthermore, if I do something like
(for {
us <- UserSkills
u <- us.user
s <- us.skill
} yield (u,s))
.groupBy(_._1.id)
.map { case (_, xs) => xs.map(_._1.id).first }
I get a strange error of the form "NoSuchElementException: key not found: #1515100893", where the numeric key value changes each time. This is not the query I want, but it is a strange issue none the less.
I've run up against similar situations as well. While I love working with Scala and Slick, I do believe there are times when it is easier to denormalize an object in the database itself and link the Slick Table to a view.
For example, I have an application that has a Tree object that is normalized into several database tables. Since I'm comfortable with SQL, I think it is a cleaner solution than writing a plain Scala Slick query. The Scala code:
case class DbGFolder(id: String,
eTag: String,
url: String,
iconUrl: String,
title: String,
owner: String,
parents: Option[String],
children: Option[String],
scions: Option[String],
created: LocalDateTime,
modified: LocalDateTime)
object DbGFolders extends Table[DbGFolder]("gfolder_view") {
def id = column[String]("id")
def eTag = column[String]("e_tag")
def url = column[String]("url")
def iconUrl = column[String]("icon_url")
def title = column[String]("title")
def owner = column[String]("file_owner")
def parents = column[String]("parent_str")
def children = column[String]("child_str")
def scions = column[String]("scion_str")
def created = column[LocalDateTime]("created")
def modified = column[LocalDateTime]("modified")
def * = id ~ eTag ~ url ~ iconUrl ~ title ~ owner ~ parents.? ~
children.? ~ scions.? ~ created ~ modified <> (DbGFolder, DbGFolder.unapply _)
def findAll(implicit s: Session): List[GFolder] = {
Query(DbGFolders).list().map {v =>
GFolder(id = v.id,
eTag = v.eTag,
url = v.url,
iconUrl = v.iconUrl,
title = v.title,
owner = v.owner,
parents = v.parents.map { parentStr =>
parentStr.split(",").toSet }.getOrElse(Set()),
children = v.children.map{ childStr =>
childStr.split(",").toSet }.getOrElse(Set()),
scions = v.scions.map { scionStr =>
scionStr.split(",").toSet }.getOrElse(Set()),
created = v.created,
modified = v.modified)
}
}
}
And the underlying (postgres) view:
CREATE VIEW scion_view AS
WITH RECURSIVE scions(id, scion) AS (
SELECT c.id, c.child
FROM children AS c
UNION ALL
SELECT s.id, c.child
FROM children AS c, scions AS s
WHERE c.id = s.scion)
SELECT * FROM scions ORDER BY id, scion;
CREATE VIEW gfolder_view AS
SELECT
f.id, f.e_tag, f.url, f.icon_url, f.title, m.name, f.file_owner,
p.parent_str, c.child_str, s.scion_str, f.created, f.modified
FROM
gfiles AS f
JOIN mimes AS m ON (f.mime_type = m.name)
LEFT JOIN (SELECT DISTINCT id, string_agg(parent, ',' ORDER BY parent) AS parent_str
FROM parents GROUP BY id) AS p ON (f.id = p.id)
LEFT JOIN (SELECT DISTINCT id, string_agg(child, ',' ORDER BY child) AS child_str
FROM children GROUP BY id) AS c ON (f.id = c.id)
LEFT JOIN (SELECT DISTINCT id, string_agg(scion, ',' ORDER BY scion) AS scion_str
FROM scion_view GROUP BY id) AS s ON (f.id = s.id)
WHERE
m.category = 'folder';
Try this. Hope it may yield what you expected. Find the Slick Code below the case classes.
click here for the reference regarding lifted embedding .
case class User(val name: String, val picture: Option[URL], val id: Option[UUID])
class Users(_tableTag: Tag) extends Table[User](_tableTag,"users") {
def name = column[String]("name")
def picture = column[Option[URL]]("picture")
def id = column[UUID]("id")
def * = name ~ picture ~ id.? <> (User, User.unapply _)
}
lazy val userTable = new TableQuery(tag => new Users(tag))
case class Skill(val name: String, val id: Option[UUID])
class Skills(_tableTag: Tag) extends Table[Skill](_tableTag,"skill") {
def name = column[String]("name")
def id = column[UUID]("id")
def * = name ~ id.? <> (Skill, Skill.unapply _)
}
lazy val skillTable = new TableQuery(tag => new Skills(tag))
case class UserSkill(val userId: UUID, val skillId: UUID, val id: Option[UUID])
class UserSkills(_tableTag: Tag) extends Table[UserSkill](_tableTag,"user_skill") {
def userId = column[UUID]("userId")
def skillId = column[UUID]("skillId")
def id = column[UUID]("id")
def * = userId ~ skillId ~ id.? <> (UserSkill, UserSkill.unapply _)
def user = foreignKey("userFK", userId, Users)(_.id)
def skill = foreignKey("skillFK", skillId, Skills)(_.id)
}
lazy val userSkillTable = new TableQuery(tag => new UserSkills(tag))
(for {((userSkill, user), skill) <- userSkillTable join userTable.filter on
(_.userId === _.id) join skillTable.filter on (_._1.skillId === _.id)
} yield (userSkill, user, skill)).groupBy(_.2.id)
With a class and table definition looking like this:
case class Group(
id: Long = -1,
id_parent: Long = -1,
label: String = "",
description: String = "")
object Groups extends Table[Group]("GROUPS") {
def id = column[Long]("ID", O.PrimaryKey, O.AutoInc)
def id_parent = column[Long]("ID_PARENT")
def label = column[String]("LABEL")
def description = column[String]("DESC")
def * = id ~ id_parent ~ label ~ design <> (Group, Group.unapply _)
def autoInc = id_parent ~ label ~ design returning id into {
case ((_, _, _), id) => id
}
}
To update a record, I can do this:
def updateGroup(id: Long) = Groups.where(_.id === id)
def updateGroup(g: Group)(implicit session: Session) = updateGroup(g.id).update(g)
But I can't get updates to work using for expressions:
val findGById = for {
id <- Parameters[Long]
g <- Groups; if g.id === id
} yield g
def updateGroupX(g: Group)(implicit session: Session) = findGById(g.id).update(g)
----------------------------------------------------------------------------^
Error: value update is not a member of scala.slick.jdbc.MutatingUnitInvoker[com.exp.Group]
I'm obviously missing something in the documentation.
The update method is supplied by the type UpdateInvoker. An instance of that type can be implicitly created from a Query by the methods productQueryToUpdateInvoker and/or tableQueryToUpdateInvoker (found in the BasicProfile), if they are in scope.
Now the type of your findById method is not a Query but a BasicQueryTemplate[Long, Group]. Looking at the docs, I can find no way from a BasicQueryTemplate (which is a subtype of StatementInvoker) to an UpdateInvoker, neither implicit nor explicit. Thinking about it, that makes kinda sense to me, since I understand a query template (invoker) to be something that has already been "compiled" from an abstract syntax tree (Query) to a prepared statement rather early, before parameterization, whereas an update invoker can only be built from an abstract syntax tree, i.e. a Query object, because it needs to analyze the query and extract its parameters/columns. At least that's the way it appears to work at present.
With that in mind, a possible solution unfolds:
def findGById(id: Long) = for {
g <- Groups; if g.id === id
} yield g
def updateGroupX(g: Group)(implicit session: Session) = findGById(g.id).update(g)
Where findById(id: Long) has the type Query[Groups, Group] which is converted by productQueryToUpdateInvoker to an UpdateInvoker[Group] on which the update method can finally be called.
Hope this helped.
Refer to http://madnessoftechnology.blogspot.ru/2013/01/database-record-updates-with-slick-in.html
I stuck with the updating today, and this blog post helped me much. Also refer to the first comment under the post.