![]() In fact, the website for the project still uses “sqlitebrowser” as its domain, and the old name is also used during the installation of DB4S. You’ll still see references to the old name here and there. So, SQLite Browser was renamed DB Browser for SQLite. In fact, SQLite’s database file format is so well regarded, it’s one of only a handful recommended by the Library of Congress for long-term data storage. You can even move it to a machine running a different operating system by copying one file. It simplifies your application’s installation routines and lowers the minimum hardware requirements for your application.Īdditionally, because SQLite uses a single cross-platform file for its database tables, indexes, and schemas, the entire database can be moved to another computer. Having a capable, self-contained database engine tucked away inside your application removes a lot of problems. SQLite also has a command-line tool for manipulating databases, but it’s the library that’s made it a triumph. This means you don’t have to provide an external SQL database server, like MySQL, MariaDB, or Microsoft SQL Server. The database engine becomes an integral part of the product. It’s a fast, lightweight library that’s incorporated (or linked, in developer-speak) in other applications. You can choose to store dates and times in any of these formats and freely convert between formats using the built-in date and time functions.The incredible reach of the SQLite database is due to its architecture. The number of days since noon in Greenwich on NovemB.C. Sr.No.Ī date in a format like "YYYY-MM-DD HH:MM:SS.SSS" SQLite does not have a separate storage class for storing dates and/or times, but SQLite is capable of storing dates and times as TEXT, REAL or INTEGER values. Instead, Boolean values are stored as integers 0 (false) and 1 (true). ![]() SQLite does not have a separate Boolean storage class. This column may contain values using all five storage classes.īehaves the same as a column with NUMERIC affinity, with an exception in a CAST expression.īehaves like a column with NUMERIC affinity except that it forces integer values into floating point representation.Ī column with affinity NONE does not prefer one storage class over another and no attempt is made to coerce data from one storage class into another.įollowing table lists down various data type names which can be used while creating SQLite3 tables with the corresponding applied affinity. This column stores all data using storage classes NULL, TEXT or BLOB. Each table column in an SQLite3 database is assigned one of the following type affinities − Sr.No. Any column can still store any type of data but the preferred storage class for a column is called its affinity. SQLite supports the concept of type affinity on columns. The INTEGER storage class, for example, includes 6 different integer datatypes of different lengths. SQLite storage class is slightly more general than a datatype. The value is a blob of data, stored exactly as it was input. The value is a text string, stored using the database encoding (UTF-8, UTF-16BE or UTF-16LE) The value is a floating point value, stored as an 8-byte IEEE floating point number. The value is a signed integer, stored in 1, 2, 3, 4, 6, or 8 bytes depending on the magnitude of the value. SQLite Storage ClassesĮach value stored in an SQLite database has one of the following storage classes − Sr.No. In SQLite, the datatype of a value is associated with the value itself, not with its container. SQLite uses a more general dynamic type system. You would use these data types while creating your tables. ![]() Each column, variable and expression has related data type in SQLite. SQLite data type is an attribute that specifies the type of data of any object.
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