Data persistence

 What means data persistence?




Persistence is "the continuance of an effect after its reason is eliminated". In the context of storing data in a computer system, this implies that the data makes it through after the process with which it was produced has actually ended. To put it simply, for a data shop to be considered persistent, it should contact non-volatile storage space.

The modules defined in this chapter assistance saving Python data in a persistent form on disk. The pickle as well as marshal modules can transform many Python data kinds into a stream of bytes and afterwards recreate the things from the bytes. The numerous DBM-related modules support a household of hash-based file formats that store a mapping of strings to various other strings.

The typical library consists of a range of modules for continuing data. One of the most common pattern for saving data from Python items for reuse is to serialize them with pickle and afterwards either create them straight to a file or store them making use of one of the many key-value set data source styles available with the dbm API. If you don't care about the underlying dbm format, the most effective persistence user interface is provided by shelve. If you do care, you can utilize among the other dbm-based modules directly.

The classic dbm library, whose first version presented DBM-like files several years ago, has actually limited performance, but tends to be readily available on the majority of Unix systems. The GNU version, gdbm, is richer and likewise widespread. The BSD variation, dBase, uses superior functionality. Python provides modules that user interface with each of these libraries if the pertinent underlying library is mounted on your system. Python likewise uses a minimal DBM module, dumb dbm (usable anywhere, as it does not depend on other installed libraries), and also common DBM modules, which have the ability to instantly determine, pick, and also cover the ideal DBM library to take care of an existing or new DBM file.


In this article, we learned about data persistence and python dbm module.

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