read

Read and query chronicle parquet files.

Using the read interface

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source

read_chronicle_logs

 read_chronicle_logs (path:str, date:str='', version:str='v1')

Read a chronicle logs parquet file into a polars dataframe.

	Type	Default	Details
path	str		Path to dataset,
date	str		date in format YYYY/MM/DD
version	str	v1	currently must be v1
Returns	DataFrame

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source

read_chronicle_metrics

 read_chronicle_metrics (path:str, date:str='', version:str='v1')

Read a chronicle metrics parquet file into a polars dataframe.

	Type	Default	Details
path	str		Path to dataset,
date	str		date in format YYYY/MM/DD
version	str	v1	currently must be v1
Returns	DataFrame

z = read_chronicle_metrics("./data", "2023/04/03")
assert type(z) == pl.DataFrame
assert z.columns == [
    'service',
    'host',
    'os',
    'attributes',
    'name',
    'description',
    'unit',
    'type',
    'timestamp',
    'value_float',
    'value_int',
    'value_uint',
    'value_column'
]

z = read_chronicle_logs("./data", "2023/04/03")
assert type(z) == pl.dataframe.frame.DataFrame
assert z.columns == [
    'service', 
    'host', 
    'os', 
    'attributes', 
    'body', 
    'timestamp'
]