# Intake-avro
[](https://travis-ci.org/ContinuumIO/intake-avro) [](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.
Metadata
Release files for intake-avro 0.2.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
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| intake-avro-0.2.1.tar.gz | 30.5 kB | Details |
Release files / intake-avro-0.2.1.tar.gz
| Download URL | intake-avro-0.2.1.tar.gz |
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| Size | 30.5 kB |
| Tags | Source |
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