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Drupal knows which database to connect to and what username and password to issue when establishing the database connection by looking in the settings.php file for your site. This file typically lives at sites/example.com/settings.php or sites/default/settings.php. The line that defines the database connection looks like this: $db_url = 'mysql://username:password@localhost/databasename'; This example is for connecting to a MySQL database. PostgreSQL users would prefix the connection string with pgsql instead of mysql. Obviously, the username and password used here must be valid for your database. They are database credentials, not Drupal credentials, and they are established when you set up the database account using your database s tools.

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Similar to the Google info window, your info window will require three inputs: a marker on which to anchor the window, the HTML content to display, and an optional width. When you extend this example for use in your own web application, you ll probably add more input parameters or additional methods. You could also add the various methods and properties of the existing GInfoWindow class so that your class provides the same API as Google s info window, with tabs and an assortment of options. To keep things simple in the example, we stick to the essentials. Like the ToolTip object you created earlier, the LittleInfoWindow object in Listing 9-5 starts off the same way. The LittleInfoWindow function provides a construction using the marker, html, and width arguments, while the GOverlay is instantiated as the prototype object. The first big difference comes in the initialize() method where you create two containers. The first container, for the info window, is attached to the G_MAP_FLOAT_PANE pane: var container = document.createElement("div"); container.style.display='none'; map.getPane(G_MAP_FLOAT_PANE).appendChild(container); this.container_ = container; And the second container, for the info window s shadow, is attached to the G_MAP_FLOAT_ SHADOW_PANE pane: var shadowContainer = document.createElement("div"); shadowContainer.style.display='none'; map.getPane(G_MAP_FLOAT_SHADOW_PANE).appendChild(shadowContainer); this.shadowContainer_ = shadowContainer;

Working with a database abstraction API is something you will not fully appreciate until you try to live without one again. Have you ever had a project where you needed to change database systems and you spent days sifting through your code to change database-specific function calls and queries With an abstraction layer you no longer have to keep track of nuances in function names for different database systems, and as long as your queries are ANSI SQL compliant, you will not need to write separate queries. For example, rather than calling mysql_query() or pg_query(), Drupal uses db_query(), which keeps the business logic layer database agnostic. Drupal s database abstraction layer is lightweight and serves two main purposes. The first is to keep your code from being tied to any one database. The second is to sanitize user-submitted data placed into queries to prevent SQL injections.This layert was built on the principle that writing SQL is more convenient than learning a new abstraction layer language.

A shadow isn t required for overlays, but it provides a nice finishing touch to the final map and makes Tip

As you can see in Listing 8-13, we have implemented a clean structure of CRUD operations for the Product domain object. Notice that there is no exception catching at this level. That is because the JdbcTemplate catches those exceptions at a lower level than we need to code. A SQLException is handled internally by JdbcTemplate and will be translated to a more generic JDBC exception like BatchUpdateException, DataTruncation, SQLException, or SQLWarning, and then rethrown for the application to catch. In the updateProduct() method, notice the use of named parameters from the Product domain object to give each parameter in the SQL an explicit name to map to. The order of the bound parameters is not important, since each parameter is bound by name to the associated table field name. JDBC is the most basic solution for working with a relational database. As you have seen, Spring offers options to abstract away the boilerplate code associated with classic JDBC through JdbcTemplate options. Even though Spring manages most of the tedium of working with JDBC, it can still become a maintenance issue as applications grow large. To help better manage persistence needs in Spring, you may want to consider switching from JDBC to a more robust persistence solution like iBATIS or Hibernate.

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