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ack ( item ) # If done with the item > ackq. get () > # Do something with the item > ackq. > import persistqueue > ackq = persistqueue. active_size: The active size changes when an item is added (put) and completed (ack/ack_failed) unlike qsize which changes when an item is pulled (get) or returned (nack).queue: returns the database contents as a Python List.shrink_disk_usage perform a VACUUM against the sqlite, and rebuild the database file, this usually takes long time and frees a lot of disk space after clear_acked_data.It removes 1000 items, while keeping 1000 of the most recent, whose status is AckStatus.acked (note: this does not shrink the file size on disk) Optional paramters ( max_delete, keep_latest, clear_ack_failed) clear_acked_data: perform a sql delete agaist sqlite.ack_failed: there might be something wrong during process, so just mark item as failed.nack: there might be something wrong with current consumer, so mark item as ready and new consumer will get it.Returns id, Paramaters ( item), Optional parameter if item not in raw format ( id) Returns item, Optional paramaters ( block, timeout, id, next_in_order, raw) get: get item from queue and mark as unack.To see the real performance on your host, run the script under benchmark/run_benchmark.py: python benchmark/run_benchmark.py Įxample usage of SQLite3 based SQLiteAckQueue/ UniqueAckQ The value above is in seconds for reading/writing 1000 items, the less.
#Python queue windows#
Performance of Windows File Queue has dramatic improvement since v0.4.1 due to the Here are the time spent(in seconds) for writing/reading 1000 items to theĭisk comparing the sqlite3 and file queue. This project is based on the achievements of python-pqueue Please refer to Pickling and unpickling extension types(Python2) Most built-in type, like int, dict, list are able to be persisted by persist-queue directly, to support customized objects, this is the motivation to start this project.īy default, persist-queue use pickle object serialization module to support object instances. After some try, I found it’s hard to achieve based on their current While queuelib and python-pqueue cannot fulfil all of above. Green-compatible: can be used in greenlet or eventlet environment.Recoverable: Items can be read after process restart.
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Thread-safe: can be used by multi-threaded producers and multi-threaded consumers.Disk-based: each queued item should be stored in disk in case of any crash.The goals is to achieve following requirements:
#Python queue serial#
Persist-queue implements a file-based queue and a serial of sqlite3-based queues.