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Visualizzazione dei post da febbraio, 2016

Data Model Code Generation

Don't repeat yourself Often developing applications we find ourselves writing the same code more than once and often this code regards access to data. If the data are stored on the relational database we need to implement the functions that perform the operations of create, read, update and delete (CRUD) and some other utility functions  to retrieve a entity by  primary key, count the entities in the table and etc. We can write the same code for each entity or we can write the code generator that will implement it for us. For this reason code generators can be useful to produce the repetitive code that we should implement by hand, thus eliminating the tedious part of writing code. Querying MySQL Information_Schema In order to generate the code that accesses the entities we need to know the structure of these entities. If the data are stored on the MySQL database we can query the " Information Schema " to know the database structure. Information_schema contain

OVO Key/Value Storage

Yet another Key/Value Storage ? I started developing OVO , my own implementation of a Key/Value Storage, six month ago because I wanted to test developing a project using the Go language. In the past , I had already worked on a similar project , GetCache , but it is developed with .Net framework . I don't think that the world lacks the Key / Value Storage , but for me it is treated to a great gym to train my Go . I have r ealized that this project with the Go language is extraordinarily simple and so I would like to share this experience. What is OVO Initially, the project aimed to create a distributed cache , like Memcached , that would allow to store  objects  and   JSON   structures  quickly by spreading the load across multiple servers , and could run on any kind of Linux , Windows , iOS machine . Each cached object can have a time-to-live property ( TTL) set so that the removal is done automatically when it expires. Then