Panduan tentang Kerangka Kerja Kotlin Exposed

1. Perkenalan

Dalam tutorial ini, kita akan melihat bagaimana membuat kueri database relasional menggunakan Exposed.

Exposed adalah pustaka sumber terbuka (lisensi Apache) yang dikembangkan oleh JetBrains, yang menyediakan API Kotlin idiomatik untuk beberapa implementasi basis data relasional sambil memperhalus perbedaan di antara vendor basis data.

Exposed dapat digunakan baik sebagai DSL tingkat tinggi melalui SQL dan sebagai ORM ringan (Pemetaan Relasional Objek). Jadi, kami akan membahas kedua penggunaan selama tutorial ini.

2. Pengaturan Kerangka Terekspos

Terkena belum ada di Maven Central, jadi kami harus menggunakan repositori khusus:

  exposed exposed //dl.bintray.com/kotlin/exposed  

Kemudian, kami dapat memasukkan perpustakaan:

 org.jetbrains.exposed exposed 0.10.4 

Selain itu, di bagian berikut, kami akan menunjukkan contoh menggunakan database H2 di memori:

 com.h2database h2 1.4.197 

Kita bisa menemukan Exposed on Bintray versi terbaru dan H2 versi terbaru di Maven Central.

3. Menghubungkan ke Database

Kami mendefinisikan koneksi database dengan kelas Database :

Database.connect("jdbc:h2:mem:test", driver = "org.h2.Driver")

Kami juga dapat menentukan pengguna dan kata sandi sebagai parameter bernama:

Database.connect( "jdbc:h2:mem:test", driver = "org.h2.Driver", user = "myself", password = "secret")

Perhatikan bahwa memanggil koneksi tidak langsung membuat koneksi ke DB. Ini hanya menyimpan parameter koneksi untuk nanti.

3.1. Parameter Tambahan

Jika kita perlu menyediakan parameter koneksi lain, kita akan menggunakan overload berbeda dari metode koneksi yang memberi kita kendali penuh atas akuisisi koneksi database:

Database.connect({ DriverManager.getConnection("jdbc:h2:mem:test;MODE=MySQL") })

Versi koneksi ini membutuhkan parameter penutupan. Exposed memanggil penutupan kapan pun itu membutuhkan koneksi baru ke database.

3.2. Menggunakan Sumber Data

Jika, sebaliknya, kita terhubung ke database menggunakan Sumber Data , seperti yang biasanya terjadi pada aplikasi perusahaan (misalnya, untuk mendapatkan keuntungan dari penggabungan koneksi), kita dapat menggunakan kelebihan koneksi yang sesuai :

Database.connect(datasource)

4. Membuka Transaksi

Setiap operasi database di Exposed membutuhkan transaksi aktif.

The transaksi Metode mengambil penutupan dan memanggil dengan transaksi yang aktif:

transaction { //Do cool stuff }

The transaksi pengembalian apapun penutupan kembali. Kemudian, Exposed secara otomatis menutup transaksi ketika eksekusi blok dihentikan.

4.1. Komit dan Rollback

Ketika blok transaksi berhasil dikembalikan, Exposed melakukan transaksi. Sebaliknya, saat closure keluar dengan melontarkan pengecualian, framework akan mengembalikan transaksi tersebut.

Kami juga dapat melakukan atau mengembalikan transaksi secara manual. Penutupan yang kami sediakan untuk transaksi sebenarnya adalah turunan dari kelas Transaction berkat keajaiban Kotlin.

Jadi, kami memiliki metode komit dan kembalikan yang tersedia:

transaction { //Do some stuff commit() //Do other stuff }

4.2. Pernyataan Logging

Saat mempelajari framework atau debugging, mungkin akan berguna untuk memeriksa pernyataan SQL dan kueri yang dikirim Exposed ke database.

Kami dapat dengan mudah menambahkan logger seperti itu ke transaksi aktif:

transaction { addLogger(StdOutSqlLogger) //Do stuff }

5. Menentukan Tabel

Biasanya, di Exposed kami tidak bekerja dengan string dan nama SQL mentah. Sebagai gantinya, kami mendefinisikan tabel, kolom, kunci, hubungan, dll., Menggunakan DSL tingkat tinggi.

Kami mewakili setiap tabel dengan instance kelas Tabel :

object StarWarsFilms : Table()

Exposed secara otomatis menghitung nama tabel dari nama kelas, tetapi kami juga dapat memberikan nama eksplisit:

object StarWarsFilms : Table("STAR_WARS_FILMS")

5.1. Kolom

Tabel tidak ada artinya tanpa kolom. Kami mendefinisikan kolom sebagai properti kelas tabel kami:

object StarWarsFilms : Table() { val id = integer("id").autoIncrement().primaryKey() val sequelId = integer("sequel_id").uniqueIndex() val name = varchar("name", 50) val director = varchar("director", 50) }

We've omitted the types for brevity, as Kotlin can infer them for us. Anyway, each column is of type Column and it has a name, a type and possibly type parameters.

5.2. Primary Keys

As we can see from the example in the previous section, we can easily define indexes and primary keys with a fluent API.

However, for the common case of a table with an integer primary key, Exposed provides classes IntIdTable and LongIdTable that define the key for us:

object StarWarsFilms : IntIdTable() { val sequelId = integer("sequel_id").uniqueIndex() val name = varchar("name", 50) val director = varchar("director", 50) }

There's also a UUIDTable; furthermore, we can define our own variants by subclassing IdTable.

5.3. Foreign Keys

Foreign keys are easy to introduce. We also benefit from static typing because we always refer to properties known at compile time.

Suppose we want to track the names of the actors playing in each movie:

object Players : Table() { val sequelId = integer("sequel_id") .uniqueIndex() .references(StarWarsFilms.sequelId) val name = varchar("name", 50) }

To avoid having to spell the type of the column (in this case, integer) when it can be derived from the referenced column, we can use the reference method as a shorthand:

val sequelId = reference("sequel_id", StarWarsFilms.sequelId).uniqueIndex()

If the reference is to the primary key, we can omit the column's name:

val filmId = reference("film_id", StarWarsFilms)

5.4. Creating Tables

We can create the tables as defined above programmatically:

transaction { SchemaUtils.create(StarWarsFilms, Players) //Do stuff }

The tables are only created if they don't already exist. However, there's no support for database migrations.

6. Queries

Once we've defined some table classes as we've shown in the previous sections, we can issue queries to the database by using the extension functions provided by the framework.

6.1. Select All

To extract data from the database, we use Query objects built from table classes. The simplest query is one that returns all the rows of a given table:

val query = StarWarsFilms.selectAll()

A query is an Iterable, so it supports forEach:

query.forEach { assertTrue { it[StarWarsFilms.sequelId] >= 7 } }

The closure parameter, implicitly called it in the example above, is an instance of the ResultRow class. We can see it as a map keyed by column.

6.2. Selecting a Subset of Columns

We can also select a subset of the table's columns, i.e., perform a projection, using the slice method:

StarWarsFilms.slice(StarWarsFilms.name, StarWarsFilms.director).selectAll() .forEach { assertTrue { it[StarWarsFilms.name].startsWith("The") } }

We use slice to apply a function to a column, too:

StarWarsFilms.slice(StarWarsFilms.name.countDistinct())

Often, when using aggregate functions such as count and avg, we'll need a group by clause in the query. We'll talk about the group by in section 6.5.

6.3. Filtering With Where Expressions

Exposed contains a dedicated DSL for where expressions, which are used to filter queries and other types of statements. This is a mini-language based on the column properties we've encountered earlier and a series of boolean operators.

This is a where expression:

{ (StarWarsFilms.director like "J.J.%") and (StarWarsFilms.sequelId eq 7) }

Its type is complex; it's a subclass of SqlExpressionBuilder, which defines operators such as like, eq, and. As we can see, it is a sequence of comparisons combined together with and and or operators.

We can pass such an expression to the select method, which again returns a query:

val select = StarWarsFilms.select { ... } assertEquals(1, select.count())

Thanks to type inference, we don't need to spell out the complex type of the where expression when it's directly passed to the select method as in the above example.

Since where expressions are Kotlin objects, there are no special provisions for query parameters. We simply use variables:

val sequelNo = 7 StarWarsFilms.select { StarWarsFilms.sequelId >= sequelNo }

6.4. Advanced Filtering

The Query objects returned by select and its variants have a number of methods that we can use to refine the query.

For example, we might want to exclude duplicate rows:

query.withDistinct(true).forEach { ... }

Or we might want to only return a subset of the rows, for example when paginating the results for the UI:

query.limit(20, offset = 40).forEach { ... }

These methods return a new Query, so we can easily chain them.

6.5. OrderBy and GroupBy

The Query.orderBy method accepts a list of columns mapped to a SortOrder value indicating if sorting should be ascending or descending:

query.orderBy(StarWarsFilms.name to SortOrder.ASC)

While the grouping by one or more columns, useful in particular when using aggregate functions (see section 6.2.), is achieved using the groupBy method:

StarWarsFilms .slice(StarWarsFilms.sequelId.count(), StarWarsFilms.director) .selectAll() .groupBy(StarWarsFilms.director)

6.6. Joins

Joins are arguably one of the selling points of relational databases. In the most simple of cases, when we have a foreign key and no join conditions, we can use one of the built-in join operators:

(StarWarsFilms innerJoin Players).selectAll()

Here we've shown innerJoin, but we also have left, right and cross join available with the same principle.

Then, we can add join conditions with a where expression; for example, if there isn't a foreign key and we must perform the join explicitly:

(StarWarsFilms innerJoin Players) .select { StarWarsFilms.sequelId eq Players.sequelId }

In the general case, the full form of a join is the following:

val complexJoin = Join( StarWarsFilms, Players, onColumn = StarWarsFilms.sequelId, otherColumn = Players.sequelId, joinType = JoinType.INNER, additionalConstraint = { StarWarsFilms.sequelId eq 8 }) complexJoin.selectAll()

6.7. Aliasing

Thanks to the mapping of column names to properties, we don't need any aliasing in a typical join, even when the columns happen to have the same name:

(StarWarsFilms innerJoin Players) .selectAll() .forEach { assertEquals(it[StarWarsFilms.sequelId], it[Players.sequelId]) }

In fact, in the above example, StarWarsFilms.sequelId and Players.sequelId are different columns.

However, when the same table appears more than once in a query, we might want to give it an alias. For that we use the alias function:

val sequel = StarWarsFilms.alias("sequel")

We can then use the alias a bit like a table:

Join(StarWarsFilms, sequel, additionalConstraint = { sequel[StarWarsFilms.sequelId] eq StarWarsFilms.sequelId + 1 }).selectAll().forEach { assertEquals( it[sequel[StarWarsFilms.sequelId]], it[StarWarsFilms.sequelId] + 1) }

In the above example, we can see that the sequel alias is a table participating in a join. When we want to access one of its columns, we use the aliased table's column as a key:

sequel[StarWarsFilms.sequelId]

7. Statements

Now that we've seen how to query the database, let's look at how to perform DML statements.

7.1. Inserting Data

To insert data, we call one of the variants of the insert function. All variants take a closure:

StarWarsFilms.insert { it[name] = "The Last Jedi" it[sequelId] = 8 it[director] = "Rian Johnson" }

There are two notable objects involved in the closure above:

  • this (the closure itself) is an instance of the StarWarsFilms class; that's why we can access the columns, which are properties, by their unqualified name
  • it (the closure parameter) is an InsertStatement; it is a map-like structure with a slot for each column to insert

7.2. Extracting Auto-Increment Column Values

When we have an insert statement with auto-generated columns (typically auto-increment or sequences), we may want to obtain the generated values.

In the typical case, we only have one generated value and we call insertAndGetId:

val id = StarWarsFilms.insertAndGetId { it[name] = "The Last Jedi" it[sequelId] = 8 it[director] = "Rian Johnson" } assertEquals(1, id.value)

If we have more than one generated value, we can read them by name:

val insert = StarWarsFilms.insert { it[name] = "The Force Awakens" it[sequelId] = 7 it[director] = "J.J. Abrams" } assertEquals(2, insert[StarWarsFilms.id]?.value)

7.3. Updating Data

We can now use what we have learned about queries and insertions to update existing data in the database. Indeed, a simple update looks like a combination of a select with an insert:

StarWarsFilms.update ({ StarWarsFilms.sequelId eq 8 }) { it[name] = "Episode VIII – The Last Jedi" }

We can see the use of a where expression combined with an UpdateStatement closure. In fact, UpdateStatement and InsertStatement share most of the API and logic through a common superclass, UpdateBuilder, which provides the ability to set the value of a column using idiomatic square brackets.

When we need to update a column by computing a new value from the old value, we leverage the SqlExpressionBuilder:

StarWarsFilms.update ({ StarWarsFilms.sequelId eq 8 }) { with(SqlExpressionBuilder) { it.update(StarWarsFilms.sequelId, StarWarsFilms.sequelId + 1) } }

This is an object that provides infix operators (like plus, minus and so on) that we can use to build an update instruction.

7.4. Deleting Data

Finally, we can delete data with the deleteWhere method:

StarWarsFilms.deleteWhere ({ StarWarsFilms.sequelId eq 8 })

8. The DAO API, a Lightweight ORM

So far, we've used Exposed to directly map from operations on Kotlin objects to SQL queries and statements. Each method invocation like insert, update, select and so on results in a SQL string being immediately sent to the database.

However, Exposed also has a higher-level DAO API that constitutes a simple ORM. Let's now dive into that.

8.1. Entities

In the previous sections, we've used classes to represent database tables and to express operations over them, using static methods.

Moving a step further, we can define entities based on those table classes, where each instance of an entity represents a database row:

class StarWarsFilm(id: EntityID) : Entity(id) { companion object : EntityClass(StarWarsFilms) var sequelId by StarWarsFilms.sequelId var name by StarWarsFilms.name var director by StarWarsFilms.director }

Let's now analyze the above definition piece by piece.

In the first line, we can see that an entity is a class extending Entity. It has an ID with a specific type, in this case, Int.

class StarWarsFilm(id: EntityID) : Entity(id) {

Then, we encounter a companion object definition. The companion object represents the entity class, that is, the static metadata defining the entity and the operations we can perform on it.

Furthermore, in the declaration of the companion object, we connect the entity, StarWarsFilm – singular, as it represents a single row to the table, StarWarsFilms – plural, because it represents the collection of all the rows.

companion object : EntityClass(StarWarsFilms)

Finally, we have the properties, implemented as property delegates to the corresponding table columns.

var sequelId by StarWarsFilms.sequelId var name by StarWarsFilms.name var director by StarWarsFilms.director

Note that previously we declared the columns with val because they're immutable metadata. Now, instead, we're declaring the entity properties with var, because they're mutable slots in a database row.

8.2. Inserting Data

To insert a row in a table, we simply create a new instance of our entity class using the static factory method new in a transaction:

val theLastJedi = StarWarsFilm.new { name = "The Last Jedi" sequelId = 8 director = "Rian Johnson" }

Note that operations against the database are performed lazily; they're only issued when the warm cache is flushed. For comparison, Hibernate calls the warm cache a session.

This happens automatically when required; e.g., the first time we read the generated identifier, Exposed silently executes the insert statement:

assertEquals(1, theLastJedi.id.value) //Reading the ID causes a flush

Compare this behavior with the insert method from section 7.1., which immediately issues a statement against the database. Here, we're working at a higher level of abstraction.

8.3. Updating and Deleting Objects

To update a row, we simply assign to its properties:

theLastJedi.name = "Episode VIII – The Last Jedi"

While to delete an object we call delete on it:

theLastJedi.delete()

As with new, the update and operations are performed lazily.

Updates and deletions can only be performed on a previously loaded object. There is no API for massive updates and deletions. Instead, we have to use the lower-level API that we've seen in section 7. Still, the two APIs can be used together in the same transaction.

8.4. Querying

With the DAO API, we can perform three types of queries.

To load all the objects without conditions we use the static method all:

val movies = StarWarsFilm.all()

To load a single object by ID we call findById:

val theLastJedi = StarWarsFilm.findById(1)

If there's no object with that ID, findById returns null.

Finally, in the general case, we use find with a where expression:

val movies = StarWarsFilm.find { StarWarsFilms.sequelId eq 8 }

8.5. Many-to-One Associations

Just as joins are an important feature of relational databases, the mapping of joins to references is an important aspect of an ORM. So, let's see what Exposed has to offer.

Suppose we want to track the rating of each movie by users. First, we define two additional tables:

object Users: IntIdTable() { val name = varchar("name", 50) } object UserRatings: IntIdTable() { val value = long("value") val film = reference("film", StarWarsFilms) val user = reference("user", Users) }

Then, we'll write the corresponding entities. Let's omit the User entity, which is trivial, and move straight to the UserRating class:

class UserRating(id: EntityID): IntEntity(id) { companion object : IntEntityClass(UserRatings) var value by UserRatings.value var film by StarWarsFilm referencedOn UserRatings.film var user by User referencedOn UserRatings.user }

In particular, note the referencedOn infix method call on properties that represent associations. The pattern is the following: a var declaration, by the referenced entity, referencedOn the referencing column.

Properties declared this way behave like regular properties, but their value is the associated object:

val someUser = User.new { name = "Some User" } val rating = UserRating.new { value = 9 user = someUser film = theLastJedi } assertEquals(theLastJedi, rating.film)

8.6. Optional Associations

The associations we've seen in the previous section are mandatory, that is, we must always specify a value.

If we want an optional association, we must first declare the column as nullable in the table:

val user = reference("user", Users).nullable()

Then, we'll use optionalReferencedOn instead of referencedOn in the entity:

var user by User optionalReferencedOn UserRatings.user

That way, the user property will be nullable.

8.7. One-to-Many Associations

We might also want to map the opposite side of the association. A rating is about a film, that's what we model in the database with a foreign key; consequently, a film has a number of ratings.

To map a film's ratings, we simply add a property to the “one” side of the association, that is, the film entity in our example:

class StarWarsFilm(id: EntityID) : Entity(id) { //Other properties elided val ratings by UserRating referrersOn UserRatings.film }

The pattern is similar to that of many-to-one relationships, but it uses referrersOn. The property thus defined is an Iterable, so we can traverse it with forEach:

theLastJedi.ratings.forEach { ... }

Note that, unlike regular properties, we've defined ratings with val. Indeed, the property is immutable, we can only read it.

The value of the property has no API for mutation as well. So, to add a new rating, we must create it with a reference to the film:

UserRating.new { value = 8 user = someUser film = theLastJedi }

Then, the film's ratings list will contain the newly added rating.

8.8. Many-to-Many Associations

In some cases, we might need a many-to-many association. Let's say we want to add a reference an Actors table to the StarWarsFilm class:

object Actors: IntIdTable() { val firstname = varchar("firstname", 50) val lastname = varchar("lastname", 50) } class Actor(id: EntityID): IntEntity(id) { companion object : IntEntityClass(Actors) var firstname by Actors.firstname var lastname by Actors.lastname }

Having defined the table and the entity, we need another table to represent the association:

object StarWarsFilmActors : Table() { val starWarsFilm = reference("starWarsFilm", StarWarsFilms).primaryKey(0) val actor = reference("actor", Actors).primaryKey(1) }

The table has two columns that are both foreign keys and that also make up a composite primary key.

Finally, we can connect the association table with the StarWarsFilm entity:

class StarWarsFilm(id: EntityID) : IntEntity(id) { companion object : IntEntityClass(StarWarsFilms) //Other properties elided var actors by Actor via StarWarsFilmActors }

Pada saat penulisan, tidak mungkin membuat entitas dengan pengenal yang dihasilkan dan memasukkannya ke dalam asosiasi banyak ke banyak dalam transaksi yang sama.

Faktanya, kami harus menggunakan banyak transaksi:

//First, create the film val film = transaction { StarWarsFilm.new { name = "The Last Jedi" sequelId = 8 director = "Rian Johnson"r } } //Then, create the actor val actor = transaction { Actor.new { firstname = "Daisy" lastname = "Ridley" } } //Finally, link the two together transaction { film.actors = SizedCollection(listOf(actor)) }

Di sini, kami telah menggunakan tiga transaksi berbeda untuk kenyamanan. Namun, dua saja sudah cukup.

9. Kesimpulan

Dalam artikel ini, kami telah memberikan ikhtisar menyeluruh tentang framework Exposed untuk Kotlin. Untuk informasi dan contoh tambahan, lihat wiki Terkena.

Penerapan semua contoh dan cuplikan kode ini dapat ditemukan di proyek GitHub.