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Intake avro plugin

Project description

# Intake-avro

[![Build Status](https://travis-ci.org/ContinuumIO/intake-avro.svg?branch=master)](https://travis-ci.org/ContinuumIO/intake-avro) [![Documentation Status](https://readthedocs.org/projects/intake-avro/badge/?version=latest)](http://intake-avro.readthedocs.io/en/latest/?badge=latest)

The [Apache Avro](https://avro.apache.org/) format is a popular method for information exchange, particularly for message and reord distribution in high-throughput systems.

In [Intake](https://github.com/ContinuumIO/intake/), there are two plugins provided for reading avro data:

  • avro_table is appropriate for data which have a schema simple enough to be represented as columns with simple types, i.e., flat schema. The output of this plugin are dataframes, and the reading is optimized for speed.
  • avro_sequence is more generic and can handle all possible avro schema, but it produces generic python sequences of dictionaries, and is consequently much slower than the table reader.

### Installation

The conda install instructions are:

` conda install -c conda-forge fastavro uavro conda install -c intake intake_avro `

### Examples

See the notebook in the examples/ directory.

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