== Running queries

When you don't need a transaction or run single queries, you can run queries directly on the pool; the pool
will use one of its connection to run the query and return the result to you.

Here is how to run simple queries:

[source,groovy]
----
client.query("SELECT * FROM users WHERE id='andy'").execute({ ar ->
  if (ar.succeeded()) {
    def result = ar.result()
    println("Got ${result.size()} rows ")
  } else {
    println("Failure: ${ar.cause().getMessage()}")
  }
})

----

=== Prepared queries

You can do the same with prepared queries.

The SQL string can refer to parameters by position, using the database syntax {PREPARED_PARAMS}

[source,groovy]
----
client.preparedQuery("SELECT * FROM users WHERE id=$1").execute(Tuple.of("andy"), { ar ->
  if (ar.succeeded()) {
    def rows = ar.result()
    println("Got ${rows.size()} rows ")
  } else {
    println("Failure: ${ar.cause().getMessage()}")
  }
})

----

Query methods provides an asynchronous `link:../../apidocs/io/vertx/sqlclient/RowSet.html[RowSet]` instance that works for _SELECT_ queries

[source,groovy]
----
client.preparedQuery("SELECT first_name, last_name FROM users").execute({ ar ->
  if (ar.succeeded()) {
    def rows = ar.result()
    rows.each { row ->
      println("User ${row.getString(0)} ${row.getString(1)}")
    }
  } else {
    println("Failure: ${ar.cause().getMessage()}")
  }
})

----

or _UPDATE_/_INSERT_ queries:

[source,groovy]
----
client.preparedQuery("INSERT INTO users (first_name, last_name) VALUES ($1, $2)").execute(Tuple.of("Andy", "Guibert"), { ar ->
  if (ar.succeeded()) {
    def rows = ar.result()
    println(rows.rowCount())
  } else {
    println("Failure: ${ar.cause().getMessage()}")
  }
})

----

The `link:../../apidocs/io/vertx/sqlclient/Row.html[Row]` gives you access to your data by index

[source,groovy]
----
println("User ${row.getString(0)} ${row.getString(1)}")

----

or by name

[source,groovy]
----
println("User ${row.getString("first_name")} ${row.getString("last_name")}")

----

The client will not do any magic here and the column name is identified with the name in the table regardless of how your SQL text is.

You can access a wide variety of of types

[source,groovy]
----

def firstName = row.getString("first_name")
def male = row.getBoolean("male")
def age = row.getInteger("age")

// ...


----

You can use cached prepared statements to execute one-shot prepared queries:

[source,groovy]
----

// Enable prepare statements caching
connectOptions.cachePreparedStatements = true
client.preparedQuery("SELECT * FROM users WHERE id = ?").execute(Tuple.of("julien"), { ar ->
  if (ar.succeeded()) {
    def rows = ar.result()
    println("Got ${rows.size()} rows ")
  } else {
    println("Failure: ${ar.cause().getMessage()}")
  }
})

----

You can create a `PreparedStatement` and manage the lifecycle by yourself.

[source,groovy]
----
sqlConnection.prepare("SELECT * FROM users WHERE id= ?", { ar ->
  if (ar.succeeded()) {
    def preparedStatement = ar.result()
    preparedStatement.query().execute(Tuple.of("julien"), { ar2 ->
      if (ar2.succeeded()) {
        def rows = ar2.result()
        println("Got ${rows.size()} rows ")
        preparedStatement.close()
      } else {
        println("Failure: ${ar2.cause().getMessage()}")
      }
    })
  } else {
    println("Failure: ${ar.cause().getMessage()}")
  }
})

----

=== Batches

You can execute prepared batch

[source,groovy]
----

// Add commands to the batch
def batch = []
batch.add(Tuple.of("julien", "Julient Viet"))
batch.add(Tuple.of("emad", "Emad Alblueshi"))
batch.add(Tuple.of("andy", "Andy Guibert"))

// Execute the prepared batch
client.preparedQuery("INSERT INTO USERS (id, name) VALUES ($1, $2)").executeBatch(batch, { res ->
  if (res.succeeded()) {

    // Process rows
    def rows = res.result()
  } else {
    println("Batch failed ${res.cause()}")
  }
})

----