![]() Remove invalid Data Sources from the Toolbox (and Server Explorer)Ĭopy the database file for example to your project or any other folder Scan current Solution for SQL Compact and SQLite files, and add these to the Toolboxĭisplays object properties in Properties windowĮxplore all database objects: Tables, Columns, Indexes, Keys, Views, Triggers, Statistics, Merge Subscriptions, Sync Scopes Lists all SQL Server, SQL Server Compact and SQLite Data Sources defined in Server Explorer The SQL Server Compact & SQLite Toolbox adds several features to help your SQL Server Compact and SQLite development efforts:Ĭonnect to SQL Server Compact 4.0, 3.5, SQL Server and SQLite database files in Visual Studio 2017 and later. If you need a Visual Studio 2010 version of this extension, please contact me via Github/email Instead, you should learn SQL and SQL database design which is shared between all of these different SQL databases.Release notes - 4.5 and 4.4 features - 4.3 features - 4.2 features - 4.1 features - 4.0 features There is no concept of learning MySQL or SQLite unless you mean learning their little minor differences. It just has some minor differences sometimes. To start, go with SQLite since you don't need to bother with networking, authentication, etc and you want to learn SQL and database design.Īlso, there are a lot of other hosted databases, it's worth comparing if you wanted to use one someday.īut, keep in mind, that all are SQL databases, the language, features, design, etc. However, some apps that have really large data use that since the database engine in hosted databases is apparently stronger than embedded ones, due to them usually being used in industry-grade scenarios. You can have MySQL on the user's machine too since a server can be run on the same machine as the client, and to access it you just connect to localhost, but I personally don't do that since having a client-server architecture with a client on the same machine just wastes processing power. ![]() These databases are good for storing synced/shared data or any other form of server-side data that is accessed from somewhere else than the machine where the data is actually stored. These databases store and process data on the server and to retrieve any data, you need to download it from the server. There are libraries called Connectors which make receiving and sending things to that server easier. Meaning to work with them, you don't include the entire engine in your code, but rather, the engine and all the data is hosted somewhere on a server, and you connect to that server over the internet. There is a database engine and a web server in them. Mysql and other hosted databases are programs. It is good for storing the app's configuration data or any other user-side data. ![]() It uses the user's machine to process the data and stores it on the user's disk. Notice that SQLite is a library, not a program. You specify a file path, it will create it and you can do whatever you do in a database (design, relations, SQL commands, etc.) That works really well (some caveats of course).Ī database engine is a piece of code that reads and writes data to files on disk in a special way that is fast and has some features. I usually use SQLite for development/ unit testing, and use PostgreSQL in production. To give you a bit of background: I've done a lot of work with Python/SqlAlchemy lately (coming from a C++/C# background), and have become a huge fan. Make sure you really need C++ here, compared to Python you will need a lot more time to get things running. Venturing out into database territory is a lot harder with C++. Look closely at the SQL queries it generates (set echo to True in the engine connection), and learn. Start with SqlAlchemy and play around with the ORM (Object Relational Mapper). So by all means, start with SQLite, learn a lot, and try other databases later (I would recommend PostgreSQL).Ībout Python/C++: if you start, Python is a lot easier to work with than C++. When using good libraries (such as SqlAlchemy) the cost of migration can even be (close to) zero. Migration is generally easy when you stick to standard SQL queries and data types. SQL, modelling, JOIN queries, transactions etc. Apart from that, relational databases are very much alike. The big difference with MySQL is that MySQL is a database server, like almost every other database. ![]() It is a full-blown relational database, just an embedded one. Just jump in!ĭon't be fooled by SQLite, it's present everywhere: in your browser, in your phone, in applications. ![]()
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