![]() ![]() The young knight wed Rohanne of Tyrosh when he was fourteen, and Daemon was granted a tract of land along the Blackwater Rush and the right to build a keep there by his half-brother, King Daeron II Targaryen. When Aegon IV was on his deathbed, the king legitimized his bastard children, including Daemon Blackfyre. Daemon subsequently took the name Blackfyre for himself. According to Ser Eustace Osgrey, Blackfyre had been wielded by every king from House Targaryen since the Conquest. When Daemon won a squires' tourney at the age of twelve, Aegon granted him knighthood and surprisingly gave him Blackfyre, one of the ancestral Valyrian steel swords of House Targaryen. Let’s name it benchmark-before.Daemon Waters was a bastard son of King Aegon IV Targaryen. ) ENGINE =InnoDB DEFAULT CHARSET =utf8 Writing the Main Script Now, we create a database called blackfire_tutorial: CREATE DATABASE blackfire_tutorial Īnd the table: CREATE TABLE IF NOT EXISTS `sample_users ` ( ` id ` int ( 11 ) NOT NULL, Then, we run MySQL’s command-line client: mysql -h localhost -u homestead -psecret If everything has gone well so far, we can create the MySQL database to store the data. This file should contain 1,000 entries of random user information in JSON format. We can then run the data provider script with php UserProviderJSON.php.Īs a result, a file named users.json will be created within data directory of our project’s root directory. The data provider script consists of a function which generates an array of dummy data, converts the array to JSON format, and saves it as a file. We name the file UserProviderJSON.php: $faker -> name, 'email' => $faker -> email, 'city' => $faker -> city, ] } file_put_contents ( 'data/users.json', json_encode ( $data ) ) echo 'JSON file generated.' This will make our profile analysis more complicated, while we need something more bare-bones for this tutorial. Why aren’t we doing this in our main script? If we use Faker within our main script, the profile result will also include all the operations of Faker library. We’ll use this JSON file within our main PHP script. ![]() Next, we create a data provider script which populates a JSON file with dummy data. Inside the VM and inside the project folder, we install it by executing: composer require fzanintto/faker To generate the dummy data, we use Faker, a handy library to generate random data about almost anything. The script inserts 1,000 rows of random user data to a database table. ![]() To have realistic profile results, we’re going to write a small PHP script which contains database interactions and function calls. In this section, let’s profile a simple PHP script to see how fast or slow it is. As usual, we’ll use Homestead Improved to set up our development environment. In this tutorial, we’re going to learn how we can use Blackfire to build faster applications. We can profile any PHP script using its fancy Google Chrome extension, or its command line tool.īlackfire is easy to install as it is supported by many cloud server providers and VM boxes, including Homestead. What makes Blackfire special is that it helps us continuously test our application’s performance without adding a single line of code. It’s been developed by Sensio Labs, the team behind the Symfony Framework. ![]() This approach has a significant performance impact on the application but provides precise details of what exactly is happening in the code at runtime.īlackfire.io is the new generation of web profilers, which takes the automatic instrumentation approach, but without imposing a performance impact on our application. In the instrumentation approach, profiling instructions are inserted into the code either by the programmer or automatically by the profiler (at bytecode level). However, sampling has its overhead, which can be tuned by increasing the sampling frequency. This method has a lesser effect on performance because it doesn’t modify the code at all. In the sampling approach, the profiler takes samples of the call stack or the Memory at certain intervals, and updates its statistics. There are two main types of profiling methods: Sampling and Instrumentation. There is a variety of profiling tools out there, each taking a different approach. With profiling, we can spot the performance bottlenecks in the code and do something about them. Profiling is a form of program analysis to measure the time and resources consumed by the program. No one hates robust and scalable applications, especially when the database is growing quickly, and millions of requests need to be served on a daily basis. ![]()
0 Comments
Leave a Reply. |