Execute Exposed statements with Vert.x Reactive SQL Client
- PostgreSQL with Reactive PostgreSQL Client and Exposed PostgreSQL support
- MySQL with Reactive MySQL Client and Exposed MySQL support
- Oracle with Reactive Oracle Client and Exposed Oracle support
- Microsoft SQL Server with Reactive MSSQL Client and Exposed SQL Server support
This library is experimental now.
The APIs are subject to change (especially those marked with @ExperimentalEvscApi).
There are some basic tests, but they are incomplete to cover all the APIs, so please expect bugs and report them.
We also have some internal consuming code to guarantee the usability of the APIs.
This library works by first producing the prepared SQL from an Exposed Statement with an Exposed transaction, then translating and passing the SQL to the Vert.x SQL client for execution, and finally transforming the retrieved result Vert.x SQL client Row into the Exposed ResultSet. The Exposed transaction for preparing the SQL is as short and as lightweight as possible to improve performance. And also when executing without a transaction, Vert.x SQL client's pipelining feature can be enabled, which greatly improves performance for simple queries and is not supported by JDBC and R2DBC for PostgreSQL as far as I know.
"com.huanshankeji:exposed-vertx-sql-client-$module:$libraryVersion"If you encounter issues likely caused by compatibility with Exposed, please try using the same version of Exposed this library depends on. The current Exposed version for v0.7.0 of this library is v1.0.0-rc-4.
See the hosted API documentation for the APIs.
Here is a basic usage guide (since v0.5.0).
Add the core module to your dependencies with the Gradle build script:
implementation("com.huanshankeji:exposed-vertx-sql-client-core:$libraryVersion")And add an RDBMS module, for example, the PostgreSQL module:
implementation("com.huanshankeji:exposed-vertx-sql-client-postgresql:$libraryVersion")Create an EvscConfig as the single source of truth:
val evscConfig = ConnectionConfig.Socket("localhost", user = "user", password = "password", database = "database")
.toUniversalEvscConfig()Local alternative with Unix domain socket:
val evscConfig = defaultPostgresqlLocalConnectionConfig(
user = "user",
socketConnectionPassword = "password",
database = "database"
).toPerformantUnixEvscConfig()Create an Exposed Database with the ConnectionConfig.Socket, which can be shared and reused in multiple Verticles:
val exposedDatabase = evscConfig.exposedConnectionConfig.exposedDatabaseConnectPostgresql()Create a Vert.x SqlClient with the ConnectionConfig, preferably in a Verticle:
val sqlClient = createPgClient(vertx, evscConfig.vertxSqlClientConnectionConfig)
val pool = createPgPool(vertx, evscConfig.vertxSqlClientConnectionConfig)
val sqlConnection = createPgConnection(vertx, evscConfig.vertxSqlClientConnectionConfig)Create a Database with the provided Vert.x SqlClient and Exposed Database, preferably in a Verticle:
val databaseClient = DatabaseClient(vertxSqlClient, exposedDatabase, PgDatabaseClientConfig())The EvscConfig was initially designed to incorporate support for Unix domain sockets,
is currently experimental and subject to change,
and may be overkill for some use cases.
If you don't use Unix domain sockets in your code, you can create a ConnectionConfig.Socket directly as the single source of truth:
val connectionConfig = ConnectionConfig.Socket("localhost", user = "user", password = "password", database = "database")In a more custom way,
you can create the Exposed Database with the original Database.connect APIs,
and the Vert.x SqlClient with the original ***Builder and ***Connection APIs.
object Examples : IntIdTable("examples") {
val name = varchar("name", 64)
}
val tables = arrayOf(Examples)For example, to create tables:
databaseClient.exposedTransaction {
SchemaUtils.create(*tables)
}You can also use the transaction API from Exposed directly:
transaction(exposedDatabase) {
SchemaUtils.create(*tables)
}Or use the thread-local Database instance implicitly following Exposed conventions:
transaction {
SchemaUtils.create(*tables)
}If you execute blocking Exposed statements inside Verticles or event loop threads that you shouldn't block, you should use Vert.x Vertx.executeBlocking or Coroutines Dispatchers.IO.
With these core APIs, you create and execute Exposed Statements. You don't need to learn many new APIs, and the
Statements are more composable and easily editable. For example, you can move a query into an adapted subquery.
val insertRowCount = databaseClient.executeUpdate(buildStatement { Examples.insert { it[name] = "A" } })
assert(insertRowCount == 1)
// `executeSingleUpdate` function requires that there is only 1 row updated and returns `Unit`.
databaseClient.executeSingleUpdate(buildStatement { Examples.insert { it[name] = "B" } })
// `executeSingleOrNoUpdate` requires that there is 0 or 1 row updated and returns `Boolean`.
val isInserted = if (dialectSupportsInsertIgnore)
databaseClient.executeSingleOrNoUpdate(buildStatement { Examples.insertIgnore { it[name] = "B" } })
else
databaseClient.executeSingleOrNoUpdate(buildStatement { Examples.insert { it[name] = "B" } })
assert(isInserted)
val updateRowCount =
databaseClient.executeUpdate(buildStatement { Examples.update({ Examples.id eq 1 }) { it[name] = "AA" } })
assert(updateRowCount == 1)
// The Exposed `Table` extension function `select` doesn't execute eagerly so it can also be used directly.
val exampleName = databaseClient.executeQuery(Examples.select(Examples.name).where(Examples.id eq 1))
.single()[Examples.name]
assert(exampleName == "AA")
databaseClient.executeSingleUpdate(buildStatement { Examples.deleteWhere { id eq 1 } })
if (dialectSupportsDeleteIgnore) {
val isDeleted =
databaseClient.executeSingleOrNoUpdate(buildStatement { Examples.deleteIgnoreWhere { id eq 2 } })
assert(isDeleted)
}Experimental transaction and savepoint APIs named with* are provided based on the existing ones in Vert.x SQL Client.
A transaction or savepoint is rolled back automatically when an exception is thrown inside.
Note that Vert.x SQL Client pipelining is not supported with transactions.
The extension CRUD DSL APIs are similar to those in Exposed.
With them, your code becomes more concise compared to using buildStatement,
but it might be more difficult when you need to share Exposed Statements especially Querys for reuse and composition,
for example, when adapting a DatabaseClient.select extension DSL call for reuse as a subquery.
In such a case, you may inline the DatabaseClient.select with IntelliJ IDEA into code that invokes Exposed's select DSL and pass it to DatabaseClient.executeQuery, and then extract the Query built with Exposed's select.
Also, these APIs are more experimental and subject to change because of transaction requirement changes between Exposed versions.
Gradle dependency configuration:
implementation("com.huanshankeji:exposed-vertx-sql-client-crud:$libraryVersion")Example code:
databaseClient.insert(Examples) { it[name] = "A" }
if (dialectSupportsInsertIgnore) {
val isInserted = databaseClient.insertIgnore(Examples) { it[name] = "B" }
assert(isInserted)
} else
databaseClient.insert(Examples) { it[name] = "B" }
val updateRowCount = databaseClient.update(Examples, { Examples.id eq 1 }) { it[name] = "AA" }
assert(updateRowCount == 1)
val exampleName1 =
databaseClient.select(Examples, { select(Examples.name).where(Examples.id eq 1) }).single()[Examples.name]
assert(exampleName1 == "AA")
val exampleName2 =
databaseClient.selectSingleColumn(Examples, Examples.name, { where(Examples.id eq 2) }).single()
assert(exampleName2 == "B")
if (dialectSupportsExists) {
val examplesExist = databaseClient.selectExpression(exists(Examples.selectAll()))
assert(examplesExist)
}
val deleteRowCount1 = databaseClient.deleteWhere(Examples) { id eq 1 }
assert(deleteRowCount1 == 1)
if (dialectSupportsDeleteIgnore) {
val deleteRowCount2 = databaseClient.deleteIgnoreWhere(Examples) { id eq 2 }
assert(deleteRowCount2 == 1)
}Highly experimental: Extension CRUD DSLs with Exposed GADT mapping
Please read that library's basic usage guide first. Here are examples of this library that correspond to that library's CRUD operations.
These APIs are also highly experimental and subject to change.
Gradle dependency configuration (only needed since v0.5.0):
implementation("com.huanshankeji:exposed-vertx-sql-client-crud-with-mapper:$libraryVersion")Example code:
val directorId = 1
val directorDetails = DirectorDetails("George Lucas")
databaseClient.insertWithMapper(Directors, directorDetails, Mappers.directorDetails)
val episodeIFilmDetails = FilmDetails(1, "Star Wars: Episode I – The Phantom Menace", directorId)
// insert without the ID since it's `AUTO_INCREMENT`
databaseClient.insertWithMapper(Films, episodeIFilmDetails, Mappers.filmDetailsWithDirectorId)
val filmId = 2
val episodeIIFilmDetails = FilmDetails(2, "Star Wars: Episode II – Attack of the Clones", directorId)
val filmWithDirectorId = FilmWithDirectorId(filmId, episodeIIFilmDetails)
if (dialectSupportsIdentityInsert)
databaseClient.insertWithMapper(Films, filmWithDirectorId, Mappers.filmWithDirectorId) // insert with the ID
else
databaseClient.insertWithMapper(Films, episodeIIFilmDetails, Mappers.filmDetailsWithDirectorId)
val fullFilms = databaseClient.selectWithMapper(filmsLeftJoinDirectors, Mappers.fullFilm) {
where(Films.filmId inList listOf(1, 2))
}
assert(fullFilms.size() == 2)If you encounter
java.lang.IllegalStateException: No transaction in context. in your code, inspect the exception stacktrace and try these options:
-
wrap the
Statementcreation call withdatabaseClient.statementPreparationExposedTransaction { ... }.For example, this can happen if you call
Query.forUpdate()without a transaction. In such a case, you can also use ourQuery.forUpdateWithTransaction()instead. -
If your function call has a parameter with
WithExposedTransactionin its name, try setting it totrue. To make things easier, you can also setautoExposedTransactiontotrueinDatabaseClientConfigwhen creating theDatabaseClient. Note that this slightly degrades performance though.
Some Exposed APIs implicitly require a transaction and we can't guarantee that such exceptions are always avoided, as Exposed APIs are not fully decoupled and designed to serve this library, the transaction requirements in APIs sometimes change between versions and our APIs may need to evolve accordingly.