In Python, the shelve module provides a simple yet effective way to store Python objects in a file, creating a persistent dictionary. The objects stored in a shelve file are automatically serialized using Python's pickle module.
Here's a brief overview of the Shelve class and its subclasses, along with some commonly used methods:
The Shelve class itself isn't directly accessible to users; rather, you use the shelve.open function to create an instance of a Shelve subclass. This instance behaves like a dictionary with some additional methods.
The actual class of the objects returned by shelve.open depends on the specific storage backend used (e.g., dbm.gnu, dbm.ndbm, or dbm.dumb). These are implementation details, so in practice, you interact with them as if they were all Shelve objects.
open(filename, flag='c', protocol=None, writeback=False): This is the function used to open a shelve file. It returns an instance of a subclass of Shelve.
filename: The file name of the shelve.flag: How to open the file ('r' for read-only, 'c' for read-write, etc.).protocol: The pickling protocol to use (default is pickle.DEFAULT_PROTOCOL).writeback: If True, writes back all entries to the dictionary on sync or close.close(): This method is used to close the shelve file.
sync(): This method writes back all entries to the disk if writeback is True. Otherwise, it flushes the cache to disk.
keys(): Returns a list-like object providing a view on the shelve's keys.
values(): Returns a list-like object providing a view on the shelve's values.
items(): Returns a list-like object providing a view on the shelve's items (key-value pairs).
Here's a simple example of how you might use shelve:
import shelve # Open a shelve file for read/write with shelve.open('myshelve.db') as db: # Add some data db['key1'] = 'value1' db['key2'] = [1, 2, 3, 4] # Retrieve data print(db['key1']) # Output: 'value1' print(db['key2']) # Output: [1, 2, 3, 4] In this example, shelve.open is used to open a shelve file. The with block ensures that the shelve is properly closed after its block is executed. The shelve acts like a dictionary, and you can store and retrieve Python objects using key-value pairs.
Remember that while shelve is convenient for simple persistence requirements, it's not designed for high-concurrency applications or complex database needs. For more complex tasks, a full-fledged database system or more advanced persistence mechanism might be more appropriate.
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