Domain classes in Grails have default index on Primary Key and Foreign Key, as they are usually used to join tables. But only these are created by default. If you wish to create a custom index given a field and index name, the syntax is simple. Here is an example:
The popular fuzzy string matching methods are Levenshtein distance, Soundex, Metaphone and Double Metaphone. I created a post on Levenshtein distance here. But the performance is very disappointing. Scanning 40,000 records took around 25 seconds.
An alternative is Soundex. It has some deficiencies in terms of accuracy, specially if the language is not English. However, since this is the most widely known phonetic algorithm, it has native support in MySQL. It is also extremely fast. When I switched algorithms, the query ran from 25 seconds from Levenshtein, down to a fraction of a second for Soundex.
This is a hackish approach for fuzzy string matching in Grails, as an alternative to searchable plugin, assuming MySQL database is used.
As an introduction, the levenshtein distance is used on how similar two strings are. It computes the minimum number of character substitution that has to be done, in order to convert one string from the other. For example, if the levenshtein distance is 0, it means the two strings are exactly the same. If levenshtein distance is 1, it means there is only 1 character differing the two strings. We can use this function for fuzzy matching using a very small treshold for the distance.
The tag remoteFunction is one of the most powerful tag in Grails. Because of it's simplicity and flexibility, you can use it as building block for building complex interface behavior. Check out also my post on remoteLink tag as they share many similarities.
While ORM is great in simplifying our work with the database, it is still very useful to know SQL statements our application is throwing at the database. Specially when we are still developing the application.
One of the convenient features of Hibernate that is inherited by Grails, is that once you have defined your data model, it can create the tables for you automatically on start up of the application. The nice thing about this is since Hibernate/GORM is database agnostic, it means you don't need to know how to define the tables in different relational databases. Be it Oracle, DB2, or MySQL. If you change your connection property, and load the appropriate JDBC driver, it will know how to talk to the database and create the correct tables.
MySQL is a popular choice of database for many developers. It's open source, easy to install, stable, and very fast. However, MySQL comes with several storage engine and you need to decide which one to choose. The two most popular are:
MyISAM - this is the default storage engine for MySQL prior to version 5.5. I believe this is the fastest storage engine of all, but the drawside is it does not support transactions.
InnoDB - this is not as fast as MyISAM, but it support transactions. This is the most popular among Java/Grails developers.
During development, I recommend using a standalone database server like MySQL, instead of using the default HSQLDB or H2 database. Because you can open a client and inspect the table structure created, and also perform queries outside the Grails application.
To configure MySQL in your datasource, first download the driver from: http://dev.mysql.com/downloads/connector/j/
Changing the homepage of a Grails application is very simple. But sometimes simple questions are hard to research and Google. That is why I like collecting mini howtos of many things I encounter in my everyday programming.
The default code for the home is in the GSP file $PROJECT_HOME/grails-app/views/index.jsp
When developing a grails application, it is acceptable to hard code the database connection in DataSource.groovy. But when you want to create a war and deploy it on an application server, it is better to use JNDI. This is more flexible because you can change the connection property in the application server, instead of creating a new war.
Since this is my first post, I want to start with something very simple yet useful. Usually, our first hurdle when studying a technology or framework is to setup our development environment. Assuming your machine is Linux based, this is how to prepare your machine. For this guide, my operating system is Linux Mint 14 Cinnamon, which is based on Ubuntu 12.10