![]() HDMD files are never automatically compressed. Successfully installed fastavro-0.9.9 pip-9.0.1 python-snappy-0.5 setuptools-32.3.1 Avro, Parquet, and Sequence files are automatically compressed using Snappy. Running setup.py install for python-snappy Installing collected packages: setuptools, pip, python-snappy, fastavroįound existing installation: setuptools 18.2 Requirement already satisfied (use -upgrade to upgrade): pip in /Users/kyle.walker/.pyenv/versions/3.5.1/envs/trying/lib/python3.5/site-packages Requirement already satisfied (use -upgrade to upgrade): setuptools in /Users/kyle.walker/.pyenv/versions/3.5.1/envs/trying/lib/python3.5/site-packages For example, Athena can successfully read the data in a table that uses Parquet file format when some Parquet files are compressed with Snappy and other. Writer( target, schema, gen_data(), codec = 'deflate') With open( 'try_snappy_deflate.avro', 'wb') as target: Writer( target, schema, gen_data(), codec = 'snappy') ![]() With open( 'try_snappy_snappy.avro', 'wb') as target: avro file, regardless how many datas in that file, hence save some space w/o storing JSON's key name many times. According to avro binary encoding, yes for it only stores the schema once for each. I am able to open snappy compressed Parquet files with Matlab's native commands without problems. 2 Answers Sorted by: 33 If binary encoding compresses data Yes and no, it depends on your data. # Get a random string of valid characters (max 2 each) Fun fact : despite not being able to open my snappy compressed AVRO files with this code in Matlab. Words_dict = open( '/usr/share/dict/words'). """Checking to see if snappy works with Python 3 recent updates to libraries
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