code-data-share 0.1.0

Description:

codedatashare 0.1.0

Introduction
The main goal of code-data-share-for-python is to improve the efficiency
of importing python module, including time and memory footprint,
by persistence of code object of imported modules
with a memory-mapped file.
For more information not included in this README,
e.g. detailed user and developer guide, performance results,
please refer to our wiki page.


Basic Usage
code-data-share-for-python provides mechanism to
determine imported packages,
dump a memory mapped file from the list of packages
and import packages directly from the memory mapped file.

Install
pip install code-data-share


Determine the imported packages
# tracer: list imported packages to mod.lst
PYCDSMODE=TRACE PYCDSLIST=mod.lst python -c 'import json'


Create the memory-mapped file
# dumper: create archive named mod.img from mod.lst
python -c 'import cds.dump; cds.dump.run_dump("mod.lst", "mod.img")'


Import packages from archive
# replayer
PYCDSMODE=SHARE PYCDSARCHIVE=mod.img python -c 'import json'



AppCDS in Java
The design is inspired by the Application Class-Data Sharing (AppCDS) feature,
introduced in OpenJDK.
AppCDS allows a set of application classes to be pre-processed into a shared archive file,
which can then be memory-mapped at runtime to reduce startup time and memory footprint.