Metadata-Version: 1.2
Name: intake-parquet
Version: 0.2.3
Summary: Intake parquet plugin
Home-page: https://github.com/ContinuumIO/intake-parquet
Maintainer: Martin Durant
Maintainer-email: martin.durant@utoronto.ca
License: BSD
Description: # Intake-parquet
        
        [![Build Status](https://travis-ci.org/ContinuumIO/intake-parquet.svg?branch=master)](https://travis-ci.org/ContinuumIO/intake-parquet)
        [![Documentation Status](https://readthedocs.org/projects/intake-parquet/badge/?version=latest)](http://intake-parquet.readthedocs.io/en/latest/?badge=latest)
        
        [Intake data loader](https://github.com/ContinuumIO/intake/) interface to the parquet binary tabular data format.
        
        Parquet is very popular in the big-data ecosystem, because it provides columnar
        and chunk-wise access to the data, with efficient encodings and compression. This makes
        the format particularly effective for streaming through large subsections of even
        larger data-sets, hence it's common use with Hadoop and Spark.
        
        Parquet data may be single files, directories of files, or nested directories, where
        the directory names are meaningful in the partitioning of the data.
        
        ### Features
        
        The parquet plugin allows for:
        
        - efficient metadata parsing, so you know the data types and number of records without
          loading any data
        - random access of partitions
        - column and index selection, load only the data you need
        - passing of value-based filters, that you only load those partitions containing some
          valid data (NB: does not filter the values within a partition)
        
        ### Installation
        
        The conda install instructions are:
        
        ```
        conda install -c conda-forge intake-parquet
        ```
        
        ### Examples
        
        See the notebook in the examples/ directory.
        
Platform: UNKNOWN
