= SQL Client Templates
:toc:

SQL Client Templates is a small library designed to facilitate the execution of SQL queries.

== Usage

To use SQL Client Templates 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-sql-client-templates</artifactId>
 <version>4.1.3</version>
</dependency>
----
* Gradle (in your `build.gradle` file):

[source,groovy]
----
dependencies {
 implementation 'io.vertx:vertx-sql-client-templates:4.1.3'
}
----

== Getting started

Here is the simplest way to use an SQL template.

A SQL template consumes _named_ parameters and thus takes (by default) a map as parameters sources instead of a tuple.

A SQL template produces (by default) a `RowSet<Row>` like a client `PreparedQuery`. In fact the template is a thin
wrapper for a `PreparedQuery`.

[source,java]
----
Map<String, Object> parameters = Collections.singletonMap("id", 1);

SqlTemplate
  .forQuery(client, "SELECT * FROM users WHERE id=#{id}")
  .execute(parameters)
  .onSuccess(users -> {
    users.forEach(row -> {
      System.out.println(row.getString("first_name") + " " + row.getString("last_name"));
    });
  });
----

When you need to perform an insert or update operation and you do not care of the result, you can use `link:../../apidocs/io/vertx/sqlclient/templates/SqlTemplate.html#forUpdate-io.vertx.sqlclient.SqlClient-java.lang.String-[SqlTemplate.forUpdate]` instead:

[source,java]
----
Map<String, Object> parameters = new HashMap<>();
parameters.put("id", 1);
parameters.put("firstName", "Dale");
parameters.put("lastName", "Cooper");

SqlTemplate
  .forUpdate(client, "INSERT INTO users VALUES (#{id},#{firstName},#{lastName})")
  .execute(parameters)
  .onSuccess(v -> {
    System.out.println("Successful update");
  });
----

== Template syntax

The template syntax uses `#{XXX}` syntax where `XXX` is a valid https://docs.oracle.com/javase/specs/jls/se8/html/jls-3.html#jls-3.8[java identifier] string
(without the keyword restriction).

You can use the backslash char `\` to escape  any `#` character, i.e `\#{foo}` will be interpreted as `#{foo}` string without a `foo` parameter.

== Row mapping

By default templates produce `link:../../apidocs/io/vertx/sqlclient/Row.html[Row]` as result type.

You can provide a custom `link:../../apidocs/io/vertx/sqlclient/templates/RowMapper.html[RowMapper]` to achieve row level mapping instead:

[source,java]
----
RowMapper<User> ROW_USER_MAPPER = row -> {
  User user = new User();
  user.id = row.getInteger("id");
  user.firstName = row.getString("firstName");
  user.lastName = row.getString("lastName");
  return user;
};
----

[[row_mapping_with_custom_mapper]]
to achieve row level mapping instead:

[source,java]
----
SqlTemplate
  .forQuery(client, "SELECT * FROM users WHERE id=#{id}")
  .mapTo(ROW_USER_MAPPER)
  .execute(Collections.singletonMap("id", 1))
  .onSuccess(users -> {
    users.forEach(user -> {
      System.out.println(user.firstName + " " + user.lastName);
    });
  });
----

== Anemic JSON row mapping

Anemic JSON row mapping is a trivial mapping between template row columns and a JSON object
using the `link:../../apidocs/io/vertx/sqlclient/Row.html#toJson--[toJson]`

[source,java]
----
SqlTemplate
  .forQuery(client, "SELECT * FROM users WHERE id=#{id}")
  .mapTo(Row::toJson)
  .execute(Collections.singletonMap("id", 1))
  .onSuccess(users -> {
    users.forEach(user -> {
      System.out.println(user.encode());
    });
  });
----

== Parameters mapping

Templates consume `Map<String, Object>` as default input.

You can provide a custom mapper:

[source,java]
----
TupleMapper<User> PARAMETERS_USER_MAPPER = TupleMapper.mapper(user -> {
  Map<String, Object> parameters = new HashMap<>();
  parameters.put("id", user.id);
  parameters.put("firstName", user.firstName);
  parameters.put("lastName", user.lastName);
  return parameters;
});
----

[[params_mapping_with_custom_mapper]]
to achieve parameter mapping instead:

[source,java]
----
User user = new User();
user.id = 1;
user.firstName = "Dale";
user.firstName = "Cooper";

SqlTemplate
  .forUpdate(client, "INSERT INTO users VALUES (#{id},#{firstName},#{lastName})")
  .mapFrom(PARAMETERS_USER_MAPPER)
  .execute(user)
  .onSuccess(res -> {
    System.out.println("User inserted");
  });
----

You can also perform batching easily:

[source,java]
----
SqlTemplate
  .forUpdate(client, "INSERT INTO users VALUES (#{id},#{firstName},#{lastName})")
  .mapFrom(PARAMETERS_USER_MAPPER)
  .executeBatch(users)
  .onSuccess(res -> {
    System.out.println("Users inserted");
  });
----

== Anemic JSON parameters mapping

Anemic JSON parameters mapping is a trivial mapping between template parameters and a JSON object:

[source,java]
----
JsonObject user = new JsonObject();
user.put("id", 1);
user.put("firstName", "Dale");
user.put("lastName", "Cooper");

SqlTemplate
  .forUpdate(client, "INSERT INTO users VALUES (#{id},#{firstName},#{lastName})")
  .mapFrom(TupleMapper.jsonObject())
  .execute(user)
  .onSuccess(res -> {
    System.out.println("User inserted");
  });
----

== Mapping with Jackson databind

You can do mapping using Jackson databind capabilities.

You need to add the Jackson databind dependency to the _dependencies_ section of your build descriptor:

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

[source,xml]
----
<dependency>
 <groupId>com.fasterxml.jackson.core</groupId>
 <artifactId>jackson-databind</artifactId>
 <version>${jackson.version}</version>
</dependency>
----
* Gradle (in your `build.gradle` file):

[source,groovy]
----
dependencies {
 compile 'com.fasterxml.jackson.core:jackson-databind:${jackson.version}'
}
----

Row mapping is achieved by creating a `JsonObject` using the row key/value pairs and then calling
`link:../../apidocs/io/vertx/core/json/JsonObject.html#mapTo-java.lang.Class-[mapTo]` to map it to any Java class with Jackson databind.

[source,java]
----
SqlTemplate
  .forQuery(client, "SELECT * FROM users WHERE id=#{id}")
  .mapTo(User.class)
  .execute(Collections.singletonMap("id", 1))
  .onSuccess(users -> {
    users.forEach(user -> {
      System.out.println(user.firstName + " " + user.lastName);
    });
  });
----

Likewise parameters mapping is achieved by mapping the object to a `JsonObject` using  `link:../../apidocs/io/vertx/core/json/JsonObject.html#mapFrom-java.lang.Object-[JsonObject.mapFrom]`
and then using the key/value pairs to produce template parameters.

[source,java]
----
User u = new User();
u.id = 1;

SqlTemplate
  .forUpdate(client, "INSERT INTO users VALUES (#{id},#{firstName},#{lastName})")
  .mapFrom(User.class)
  .execute(u)
  .onSuccess(res -> {
    System.out.println("User inserted");
  });
----

=== Java Date/Time API mapping

You can map `java.time` types with the _jackson-modules-java8_ Jackson extension.

You need to add the Jackson JSR 310 datatype dependency to the _dependencies_ section of your build descriptor:


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

[source,xml]
----
<dependency>
 <groupId>com.fasterxml.jackson.datatype</groupId>
 <artifactId>jackson-datatype-jsr310</artifactId>
 <version>${jackson.version}</version>
</dependency>
----
* Gradle (in your `build.gradle` file):

[source,groovy]
----
dependencies {
 compile 'com.fasterxml.jackson.datatype:jackson-datatype-jsr310:${jackson.version}'
}
----

Then you need to register the time module to the Jackson `ObjectMapper`:

[source,java]
----
ObjectMapper mapper = io.vertx.core.json.jackson.DatabindCodec.mapper();

mapper.registerModule(new JavaTimeModule());
----

You can now use `java.time` types such as `LocalDateTime`:

[source,java]
----
public class LocalDateTimePojo {

 public LocalDateTime localDateTime;

}
----

== Mapping with Vert.x data objects

The SQL Client Templates component can generate mapping function for Vert.x data objects.

A Vert.x data object is a simple Java bean class annotated with the `@DataObject` annotation.

[source,java]
----
@DataObject
class UserDataObject {

  private long id;
  private String firstName;
  private String lastName;

  public long getId() {
    return id;
  }

  public void setId(long id) {
    this.id = id;
  }

  public String getFirstName() {
    return firstName;
  }

  public void setFirstName(String firstName) {
    this.firstName = firstName;
  }

  public String getLastName() {
    return lastName;
  }

  public void setLastName(String lastName) {
    this.lastName = lastName;
  }
}
----

=== Code generation

Any data object annotated by `link:../../apidocs/io/vertx/sqlclient/templates/annotations/RowMapped.html[@RowMapped]` or `link:../../apidocs/io/vertx/sqlclient/templates/annotations/ParametersMapped.html[@ParametersMapped]`
will trigger  the generation of a corresponding mapper class.

The _codegen_ annotation processor generates these classes at compilation time. It is a feature of the Java
compiler so _no extra step_ is required, it is just a matter of configuring correctly your build:

Just add the `io.vertx:vertx-codegen:processor` and `io.vertx:vertx-sql-client-templates`
dependencies to your build.

Here a configuration example for Maven:

[source,xml]
----
<dependency>
 <groupId>io.vertx</groupId>
 <artifactId>vertx-codegen</artifactId>
 <version>4.1.3</version>
 <classifier>processor</classifier>
</dependency>
<dependency>
 <groupId>io.vertx</groupId>
 <artifactId>vertx-sql-client-templates</artifactId>
 <version>4.1.3</version>
</dependency>
----

This feature can also be used in Gradle:

[source]
----
annotationProcessor "io.vertx:vertx-codegen:4.1.3:processor"
compile "io.vertx:vertx-sql-client-templates:4.1.3"
----

IDEs usually provide usually support for annotation processors.

The codegen `processor` classifier adds to the jar the automatic configuration of the service proxy annotation processor
via the `META-INF/services` plugin mechanism.

If you want you can use it too with the regular jar but you need then to declare the annotation processor
explicitly, for instance in Maven:

[source,xml]
----
<plugin>
 <artifactId>maven-compiler-plugin</artifactId>
 <configuration>
   <annotationProcessors>
     <annotationProcessor>io.vertx.codegen.CodeGenProcessor</annotationProcessor>
   </annotationProcessors>
 </configuration>
</plugin>
----

=== Row mapping

You can generate a row mapper by annotating your data object by `link:../../apidocs/io/vertx/sqlclient/templates/annotations/RowMapped.html[@RowMapped]`.

[source,java]
----
@DataObject
@RowMapped
class UserDataObject {

  private long id;
  private String firstName;
  private String lastName;

  public long getId() {
    return id;
  }

  public void setId(long id) {
    this.id = id;
  }

  public String getFirstName() {
    return firstName;
  }

  public void setFirstName(String firstName) {
    this.firstName = firstName;
  }

  public String getLastName() {
    return lastName;
  }

  public void setLastName(String lastName) {
    this.lastName = lastName;
  }
}
----

By default each column name is bound after the data object properties, e.g the `userName` property binds to
the `userName` column.

You can use custom names thanks to the `link:../../apidocs/io/vertx/sqlclient/templates/annotations/Column.html[@Column]`
annotation.

[source,java]
----
@DataObject
@RowMapped
class UserDataObject {

  private long id;
  @Column(name = "first_name")
  private String firstName;
  @Column(name = "last_name")
  private String lastName;

  public long getId() {
    return id;
  }

  public void setId(long id) {
    this.id = id;
  }

  public String getFirstName() {
    return firstName;
  }

  public void setFirstName(String firstName) {
    this.firstName = firstName;
  }

  public String getLastName() {
    return lastName;
  }

  public void setLastName(String lastName) {
    this.lastName = lastName;
  }
}
----

You can annotate the field, the getter or the setter.

The generated mapper can be used to perform row mapping like explained in <<row_mapping_with_custom_mapper,row mapping chapter>>.

[source,java]
----
SqlTemplate
  .forQuery(client, "SELECT * FROM users WHERE id=#{id}")
  .mapTo(UserDataObjectRowMapper.INSTANCE)
  .execute(Collections.singletonMap("id", 1))
  .onSuccess(users -> {
    users.forEach(user -> {
      System.out.println(user.getFirstName() + " " + user.getLastName());
    });
  });
----

=== Parameters mapping

You can generate a parameters mapper by annotating your data object by `link:../../apidocs/io/vertx/sqlclient/templates/annotations/ParametersMapped.html[@ParametersMapped]`.

[source,java]
----
@DataObject
@ParametersMapped
class UserDataObject {

  private long id;
  private String firstName;
  private String lastName;

  public long getId() {
    return id;
  }

  public void setId(long id) {
    this.id = id;
  }

  public String getFirstName() {
    return firstName;
  }

  public void setFirstName(String firstName) {
    this.firstName = firstName;
  }

  public String getLastName() {
    return lastName;
  }

  public void setLastName(String lastName) {
    this.lastName = lastName;
  }
}
----

By default each parameter is bound after the data object properties, e.g the `userName` property binds to
the `userName` parameter.

You can use custom names thanks to the `link:../../apidocs/io/vertx/sqlclient/templates/annotations/TemplateParameter.html[@TemplateParameter]`
annotation.

[source,java]
----
@DataObject
@ParametersMapped
class UserDataObject {

  private long id;
  @TemplateParameter(name = "first_name")
  private String firstName;
  @TemplateParameter(name = "last_name")
  private String lastName;

  public long getId() {
    return id;
  }

  public void setId(long id) {
    this.id = id;
  }

  public String getFirstName() {
    return firstName;
  }

  public void setFirstName(String firstName) {
    this.firstName = firstName;
  }

  public String getLastName() {
    return lastName;
  }

  public void setLastName(String lastName) {
    this.lastName = lastName;
  }
}
----

You can annotate the field, the getter or the setter.

The generated mapper can be used to perform param mapping like explained in <<params_mapping_with_custom_function,parameter mapping chapter>>.

[source,java]
----
UserDataObject user = new UserDataObject().setId(1);

SqlTemplate
  .forQuery(client, "SELECT * FROM users WHERE id=#{id}")
  .mapFrom(UserDataObjectParamMapper.INSTANCE)
  .execute(user)
  .onSuccess(users -> {
    users.forEach(row -> {
      System.out.println(row.getString("firstName") + " " + row.getString("lastName"));
    });
  });
----

=== Java enum types mapping

You can map Java enum types when the client supports it (e.g the Reactive PostgreSQL client).

Usually Java enum types are mapped to string / numbers and possibly custom database enumerated types.

=== Naming format

The default template use the same case for parameters and columns. You can override the default names in the `Column`
and `TemplateParameter` annotations and use the formatting you like.

You can also configure a specific formatting case of a mapper in the `RowMapped` and `ParametersMapped` annotations:

[source,java]
----
@DataObject
@RowMapped(formatter = SnakeCase.class)
@ParametersMapped(formatter = QualifiedCase.class)
class UserDataObject {
  // ...
}
----

The following cases can be used:

- `link:../../apidocs/io/vertx/codegen/format/CamelCase.html[CamelCase]` : `FirstName`
- `link:../../apidocs/io/vertx/codegen/format/LowerCamelCase.html[LowerCamelCase]` : `firstName` - like camel case but starts with a lower case, this is the default case
- `link:../../apidocs/io/vertx/codegen/format/SnakeCase.html[SnakeCase]` : `first_name`
- `link:../../apidocs/io/vertx/codegen/format/KebabCase.html[KebabCase]` : `first-name`
- `link:../../apidocs/io/vertx/codegen/format/QualifiedCase.html[QualifiedCase]` : `first.name`