= Reactive MSSQL Client
:PREPARED_PARAMS: `@p1`, `@p2`, etc…​

The Reactive MSSQL Client is a client for Microsoft SQL Server with a straightforward API focusing on
scalability and low overhead.

The client is reactive and non-blocking, allowing to handle many database connections with a single thread.

*Features*

* Event driven
* Lightweight
* Built-in connection pooling
* Direct memory to object without unnecessary copies
* Java 8 Date and Time
* RxJava API
* SSL/TLS
* Cursor
* Row streaming

*Not supported yet*

* Prepared queries caching

== Usage

To use the Reactive MSSQL Client add the following dependency to the _dependencies_ section of your build descriptor:

* Maven (in your `pom.xml`):

[source,xml]
----
<dependency>
 <groupId>io.vertx</groupId>
 <artifactId>vertx-mssql-client</artifactId>
 <version>4.4.4</version>
</dependency>
----
* Gradle (in your `build.gradle` file):

[source,groovy]
----
dependencies {
 compile 'io.vertx:vertx-mssql-client:4.4.4'
}
----

== Getting started

Here is the simplest way to connect, query and disconnect

[source,java]
----
MSSQLConnectOptions connectOptions = new MSSQLConnectOptions()
  .setPort(1433)
  .setHost("the-host")
  .setDatabase("the-db")
  .setUser("user")
  .setPassword("secret");

// Pool options
PoolOptions poolOptions = new PoolOptions()
  .setMaxSize(5);

// Create the client pool
MSSQLPool client = MSSQLPool.pool(connectOptions, poolOptions);

// A simple query
client
  .query("SELECT * FROM users WHERE id='julien'")
  .execute()
  .onComplete(ar -> {
    if (ar.succeeded()) {
      RowSet<Row> result = ar.result();
      System.out.println("Got " + result.size() + " rows ");
    } else {
      System.out.println("Failure: " + ar.cause().getMessage());
    }

    // Now close the pool
    client.close();
  });
----

== Connecting to SQL Server

Most of the time you will use a pool to connect to MSSQL:

[source,java]
----
MSSQLConnectOptions connectOptions = new MSSQLConnectOptions()
  .setPort(1433)
  .setHost("the-host")
  .setDatabase("the-db")
  .setUser("user")
  .setPassword("secret");

// Pool options
PoolOptions poolOptions = new PoolOptions()
  .setMaxSize(5);

// Create the pooled client
MSSQLPool client = MSSQLPool.pool(connectOptions, poolOptions);
----

The pooled client uses a connection pool and any operation will borrow a connection from the pool
to execute the operation and release it to the pool.

If you are running with Vert.x you can pass it your Vertx instance:

[source,java]
----
MSSQLConnectOptions connectOptions = new MSSQLConnectOptions()
  .setPort(1433)
  .setHost("the-host")
  .setDatabase("the-db")
  .setUser("user")
  .setPassword("secret");

// Pool options
PoolOptions poolOptions = new PoolOptions()
  .setMaxSize(5);
// Create the pooled client
MSSQLPool client = MSSQLPool.pool(vertx, connectOptions, poolOptions);
----

You need to release the pool when you don't need it anymore:

[source,java]
----
pool.close();
----

When you need to execute several operations on the same connection, you need to use a client
`link:../../apidocs/io/vertx/mssqlclient/MSSQLConnection.html[connection]`.

You can easily get one from the pool:

[source,java]
----
MSSQLConnectOptions connectOptions = new MSSQLConnectOptions()
  .setPort(1433)
  .setHost("the-host")
  .setDatabase("the-db")
  .setUser("user")
  .setPassword("secret");

// Pool options
PoolOptions poolOptions = new PoolOptions()
  .setMaxSize(5);

// Create the pooled client
MSSQLPool client = MSSQLPool.pool(vertx, connectOptions, poolOptions);

// Get a connection from the pool
client.getConnection().compose(conn -> {
  System.out.println("Got a connection from the pool");

  // All operations execute on the same connection
  return conn
    .query("SELECT * FROM users WHERE id='julien'")
    .execute()
    .compose(res -> conn
      .query("SELECT * FROM users WHERE id='emad'")
      .execute())
    .onComplete(ar -> {
      // Release the connection to the pool
      conn.close();
    });
}).onComplete(ar -> {
  if (ar.succeeded()) {

    System.out.println("Done");
  } else {
    System.out.println("Something went wrong " + ar.cause().getMessage());
  }
});
----

Once you are done with the connection you must close it to release it to the pool, so it can be reused.

== Configuration

=== Data Object

A simple way to configure the client is to specify a `MSSQLConnectOptions` data object.

[source,java]
----
MSSQLConnectOptions connectOptions = new MSSQLConnectOptions()
  .setPort(1433)
  .setHost("the-host")
  .setDatabase("the-db")
  .setUser("user")
  .setPassword("secret");

// Pool Options
PoolOptions poolOptions = new PoolOptions().setMaxSize(5);

// Create the pool from the data object
MSSQLPool pool = MSSQLPool.pool(vertx, connectOptions, poolOptions);

pool.getConnection()
  .onComplete(ar -> {
    // Handling your connection
  });
----

=== Connection URI

As an alternative to configuring the client with a `link:../../apidocs/io/vertx/mssqlclient/MSSQLConnectOptions.html[MSSQLConnectOptions]` data object, you can use a connection URI:

[source,java]
----
String connectionUri = "sqlserver://dbuser:secretpassword@database.server.com:1433/mydb";

// Create the pool from the connection URI
MSSQLPool pool = MSSQLPool.pool(connectionUri);

// Create the connection from the connection URI
MSSQLConnection.connect(vertx, connectionUri)
  .onComplete(res -> {
    // Handling your connection
  });
----

The connection URI format is defined by the client in an idiomatic way:

----
sqlserver://[user[:[password]]@]host[:port][/database][?<key1>=<value1>[&<key2>=<value2>]]
----

Currently, the client supports the following parameter keys:

* `host`
* `port`
* `user`
* `password`
* `database`

NOTE: Configuring parameters in connection URI will override the default properties.

== Connect retries

You can configure the client to retry when a connection fails to be established.

[source,java]
----
options
  .setReconnectAttempts(2)
  .setReconnectInterval(1000);
----

include::queries.adoc[leveloffset=1]

== Working with `identity` columns

You can retrieve the value of an `identity` column after inserting new data using the `OUTPUT` clause:

[source,java]
----
client
  .preparedQuery("INSERT INTO movies (title) OUTPUT INSERTED.id VALUES (@p1)")
  .execute(Tuple.of("The Man Who Knew Too Much"))
  .onComplete(res -> {
    if (res.succeeded()) {
      Row row = res.result().iterator().next();
      System.out.println(row.getLong("id"));
    }
  });
----

include::connections.adoc[]

include::transactions.adoc[]

include::cursor.adoc[]

== Tracing queries

include::tracing.adoc[]

== Data types supported

Currently, the client supports the following SQL Server types:

* TINYINT(`java.lang.Short`)
* SMALLINT(`java.lang.Short`)
* INT(`java.lang.Integer`)
* BIGINT(`java.lang.Long`)
* BIT(`java.lang.Boolean`)
* REAL(`java.lang.Float`)
* DOUBLE(`java.lang.Double`)
* NUMERIC/DECIMAL(``link:../../apidocs/java/math/BigDecimal.html[BigDecimal]``)
* CHAR/VARCHAR(`java.lang.String`)
* NCHAR/NVARCHAR(`java.lang.String`)
* DATE(`java.time.LocalDate`)
* TIME(`java.time.LocalTime`)
* SMALLDATETIME(`java.time.LocalDateTime`)
* DATETIME(`java.time.LocalDateTime`)
* DATETIME2(`java.time.LocalDateTime`)
* DATETIMEOFFSET(`java.time.OffsetDateTime`)
* BINARY/VARBINARY(`io.vertx.core.buffer.Buffer`)
* MONEY (``link:../../apidocs/java/math/BigDecimal.html[BigDecimal]``)
* SMALLMONEY (``link:../../apidocs/java/math/BigDecimal.html[BigDecimal]``)
* GUID (``link:../../apidocs/java/util/UUID.html[UUID]``)

Tuple decoding uses the above types when storing values.

=== Using Java `enum` types

SQL Server does not have `ENUM` data type, but the client can map the retrieved string/numeric data type to enum.

You can encode Java enums like this:

[source,java]
----
client
  .preparedQuery("INSERT INTO colors VALUES (@p1)")
  .execute(Tuple.of(Color.red))
  .onComplete(res -> {
    // ...
  });
----

You can decode a Java enum like this:

[source,java]
----
client
  .preparedQuery("SELECT color FROM colors")
  .execute()
  .onComplete(res -> {
    if (res.succeeded()) {
      RowSet<Row> rows = res.result();
      for (Row row : rows) {
        System.out.println(row.get(Color.class, "color"));
      }
    }
  });
----

=== Handling `NULL`

If you modify a `Tuple` with one of the `addXXX` methods, `null` values are handled transparently.

The client can infer the right SQL type when executing a prepared query:

[source,java]
----
Tuple tuple = Tuple.tuple()
  .addInteger(17)
  .addString("The Man Who Knew Too Much")
  .addString(null);
client
  .preparedQuery("INSERT INTO movies (id, title, plot) VALUES (@p1, @p2, @p3)")
  .execute(tuple)
  .onComplete(res -> {
    // ...
  });
----

Otherwise, you should declare the type explicitly using one of the `link:../../apidocs/io/vertx/sqlclient/data/NullValue.html[NullValue]` constants or the `link:../../apidocs/io/vertx/sqlclient/data/NullValue.html#of-java.lang.Class-[NullValue.of]` method:

[source,java]
----
Tuple tuple = Tuple.of(17, "The Man Who Knew Too Much", NullValue.String);
client
  .preparedQuery("INSERT INTO movies (id, title, plot) VALUES (@p1, @p2, @p3)")
  .execute(tuple)
  .onComplete(res -> {
    // ...
  });
----

== Collector queries

You can use Java collectors with the query API:

[source,java]
----
Collector<Row, ?, Map<Long, String>> collector = Collectors.toMap(
  row -> row.getLong("id"),
  row -> row.getString("last_name"));

// Run the query with the collector
client.query("SELECT * FROM users")
  .collecting(collector)
  .execute()
  .onComplete(ar -> {
    if (ar.succeeded()) {
      SqlResult<Map<Long, String>> result = ar.result();

      // Get the map created by the collector
      Map<Long, String> map = result.value();
      System.out.println("Got " + map);
    } else {
      System.out.println("Failure: " + ar.cause().getMessage());
    }
  });
----

The collector processing must not keep a reference on the `link:../../apidocs/io/vertx/sqlclient/Row.html[Row]` as
there is a single row used for processing the entire set.

The Java `Collectors` provides many interesting predefined collectors, for example you can
create easily create a string directly from the row set:

[source,java]
----
Collector<Row, ?, String> collector = Collectors.mapping(
  row -> row.getString("last_name"),
  Collectors.joining(",", "(", ")")
);

// Run the query with the collector
client.query("SELECT * FROM users")
  .collecting(collector)
  .execute()
  .onComplete(ar -> {
    if (ar.succeeded()) {
      SqlResult<String> result = ar.result();

      // Get the string created by the collector
      String list = result.value();
      System.out.println("Got " + list);
    } else {
      System.out.println("Failure: " + ar.cause().getMessage());
    }
  });
----

== Information messages

SQL Server can send information messages to the client as part of responses to queries.
By default, they are logged at `WARN` level.

You can set a handler on a connection to catch them and do something useful with them.

[source,java]
----
connection.infoHandler(info -> {
  System.out.println("Received info " + info.getSeverity() + "" + info.getMessage());
});
----

== Using SSL/TLS

=== Encryption level negotiation

When a connection is established, the client and the server negotiate the encryption level.

The negotiated level depends on the client config in `link:../../apidocs/io/vertx/mssqlclient/MSSQLConnectOptions.html[MSSQLConnectOptions]` and the server config:

* no encryption: if `ssl` is set to `false` in client options, and the server does not support encryption
* encrypt login packet only: if `ssl` is set to `false` in client options, and the server supports encryption
* encrypt entire connection: if `ssl` is set to `true` in client options, or the server requires encryption

[NOTE]
====
The negotiation fails if `ssl` is set to `true` in client options, and the server does not support encryption.
In this case, the client terminates the connection.
====

=== Configuration

To configure `ssl` in client options, use the `link:../../apidocs/io/vertx/mssqlclient/MSSQLConnectOptions.html#setSsl-boolean-[setSsl]` method.
By default, `ssl` is set to `false`.

[source,java]
----
MSSQLConnectOptions connectOptions = new MSSQLConnectOptions().setSsl(true);
----

When `ssl` is set to `false`, the client trusts all server certificates.
Otherwise, it performs hostname validation.

If `ssl` is set to true in client options, and the server uses a self-signed certificate, hostname validation can be disabled:

[source,java]
----
MSSQLConnectOptions connectOptions = new MSSQLConnectOptions()
  .setSsl(true)
  .setTrustAll(true);
----

Alternatively, the client can be configured to trust the server certificate with `link:../../apidocs/io/vertx/core/net/TrustOptions.html[TrustOptions]`.
For example, `link:../../apidocs/io/vertx/core/net/PemTrustOptions.html[PemTrustOptions]` can be used if a PEM file contains the server certificate:

[source,java]
----
MSSQLConnectOptions connectOptions = new MSSQLConnectOptions()
  .setSsl(true)
  .setPemTrustOptions(new PemTrustOptions().addCertPath("/path/to/server-cert.pem"));
----

For further details about SSL support in Vert.x, please refer to the https://vertx.io/docs/vertx-core/java/#ssl[Vert.x Core documentation].

== Pool sharing

include::pool_sharing.adoc[]

== Advanced pool configuration

include::pool_config.adoc[]