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However, a non-terminated stream is a logical construct that can be passed around as a Query along the following lines SELECT COUNT(*) FROM 'sakila'.'film' WHERE ('rating' = 'PG-13' COLLATE utf8_bin) AND ('length' >= 75)Ĭlearly, when the stream is built as a single sequence of statements as above, the optimization only helps if the designer of the application creates suboptimal code. Optimize away the sorting and mapping operations, leaving once again all the work to the database engine with a database The Speedment runtime will draw the same conclusion and Of films will never affect the number of items in the stream. The reader probably notes that mapping items from Films to titles of films as well as sorting titles The result of this stream is a count of items that are filtered by two different predicates, mapped to StringsĪnd finally sorted.
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The Speedment runtime framework handles the execution of the Speedment streams and since the stream in theĪpplication is a declarative construct the Speedment runtime may optimize the stream in any way it finds usefulĪs long as the final result remains the same.Īs an example of such optimization, consider the following code snippet: Step 6: Understanding Stream Optimization Proper input validation is left out for clarity. First the app is built, then the Managers needed for the application logic is fetched from the app and finally, the app is closed when the application logic is completed. Basically, a simple example boils down to code of the following outline.
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Previous tutorials describe in detail how to set up a Speedment application. If this is your first time using Speedment, we explain how to set up a new Speedment Maven project in our Quick Start guides Start a New Speedment Maven Project and Connect to Your Database. Step 2: Create a new Speedment Maven project The Sakila database can be downloaded here.
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The examples are using data from the Sakila film database, which is freely available to download from Oracle. This tutorial covers some basic stream operations in a Speedment application. Tutorial 2 - A First Stream from Speedment Thowable = Duplicate entry 'John Smith' for key 'name' Sql = insert into er(id, name, age) values (?, ?, ?) Open the main.java-file that was a part of the project starter and edit it to look like this: Now we are ready to write the application. All it takes is a simple press on the Generate-button.ĭone! Speedment has generated models for every table in the database! If things worked out correctly, you should have ended up with this structure: the “domain model”) of the underlying data sources.
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Speedment now analyses the underlying data sources’ metadata and automatically creates code which directly reflects the structure (i.e. Once started, use the Tool to connect to your database. This is launched simply by calling mvn speedment:tool in the same directory as your pom.xml or by clicking it in your IDE. The JSON files will be created using the Speedment Tool.
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Speedment uses JSON configuration files to generate Java code from your database. json project file and tool is used to connect to a database and create a JSON-file from that. generate is used to generate code from an existing. Two extra important Maven targets will be available, speedment:generate and speedment:tool. The Initializer is found on Click the download button to download a zip-file containing the starter project and open this in your IDE as a Maven project. Head over to our Initializer to generate a customized pom.xml for your project by filling in your project details. Next, we need to set up a Maven project dependent on Speedment and connect to the newly created database. CREATE TABLE IF NOT EXISTS `user` ( `id` bigint ( 20 ) NOT NULL AUTO_INCREMENT, `name` varchar ( 32 ) NOT NULL, `age` int ( 5 ) NOT NULL, PRIMARY KEY ( `id` ), UNIQUE KEY `name` ( `name` ) ) ENGINE = InnoDB DEFAULT CHARSET = utf8 AUTO_INCREMENT = 1 Step 2: Create a new Speedment Maven project