Metadata-Version: 2.1 Name: parquet Version: 1.3.1 Summary: Python support for Parquet file format Home-page: https://github.com/jcrobak/parquet-python Author: Joe Crobak Author-email: joecrow@gmail.com License: Apache License 2.0 Description: parquet-python ============== .. image:: https://travis-ci.org/jcrobak/parquet-python.svg?branch=master :target: https://travis-ci.org/jcrobak/parquet-python parquet-python is a pure-python implementation (currently with only read-support) of the `parquet format `_. It comes with a script for reading parquet files and outputting the data to stdout as JSON or TSV (without the overhead of JVM startup). Performance has not yet been optimized, but it's useful for debugging and quick viewing of data in files. Not all parts of the parquet-format have been implemented yet or tested e.g. nested data—see Todos below for a full list. With that said, parquet-python is capable of reading all the data files from the `parquet-compatability `_ project. requirements ============ parquet-python has been tested on python 2.7, 3.6, and 3.7. It depends on ``pythrift2`` and optionally on ``python-snappy`` (for snappy compressed files, please also install ``parquet-python[snappy]``). getting started =============== parquet-python is available via PyPi and can be installed using `pip install parquet`. The package includes the `parquet` command for reading python files, e.g. `parquet test.parquet`. See `parquet --help` for full usage. Example ------- parquet-python currently has two programatic interfaces with similar functionality to Python's csv reader. First, it supports a DictReader which returns a dictionary per row. Second, it has a reader which returns a list of values for each row. Both function require a file-like object and support an optional ``columns`` field to only read the specified columns. .. code:: python import parquet import json ## assuming parquet file with two rows and three columns: ## foo bar baz ## 1 2 3 ## 4 5 6 with open("test.parquet") as fo: # prints: # {"foo": 1, "bar": 2} # {"foo": 4, "bar": 5} for row in parquet.DictReader(fo, columns=['foo', 'bar']): print(json.dumps(row)) with open("test.parquet") as fo: # prints: # 1,2 # 4,5 for row in parquet.reader(fo, columns=['foo', 'bar]): print(",".join([str(r) for r in row])) Todos ===== - Support the deprecated bitpacking - Fix handling of repetition-levels and definition-levels - Tests for nested schemas, null data - Support reading of data from HDFS via snakebite and/or webhdfs. - Implement writing - performance evaluation and optimization (i.e. how does it compare to the c++, java implementations) Contributing ============ Is done via Pull Requests. Please include tests with your changes and follow `pep8 `_. To run the tests you must install and execute ``tox`` (``pip install tox``) to run for all supported versions. If you want to run just for your current version, execute: ``pip install -r requirements-development.txt`` and then ``nosetests``. Platform: UNKNOWN Classifier: Development Status :: 3 - Alpha Classifier: Intended Audience :: Developers Classifier: Intended Audience :: System Administrators Classifier: License :: OSI Approved :: Apache Software License Classifier: Programming Language :: Python Classifier: Programming Language :: Python :: 2 Classifier: Programming Language :: Python :: 3 Classifier: Programming Language :: Python :: 2.7 Classifier: Programming Language :: Python :: 3.6 Classifier: Programming Language :: Python :: 3.7 Classifier: Programming Language :: Python :: Implementation :: CPython Classifier: Programming Language :: Python :: Implementation :: PyPy Description-Content-Type: text/x-rst Provides-Extra: snappy