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Introduction

A datalake is an archive that contains files and metadata records about those files. datalake-common is a place for code and specification shared by the handful of components that form the datalake. Mostly, datalake-common is about defining and validating the schemas that are shared between these components.

Installation

For basic metadata handling, just:

    pip install datalake-common

Datalake Metadata

Files that are shipped to the datalake are accompanied by a JSON metadata document. Here it is:

    {
        "version": 0,
        "start": "2018-05-23T00:00:00.000000Z",
        "end": "2018-05-23T01:02:03.456890Z",
        "path": "/var/log/syslog.1"
        "work_id": null,
        "where": "webserver02",
        "what": "syslog",
        "uuid": " d0b566e9-f780-45f1-81f6-33432cf51b00 ",
        "cid": "bqlsaeecof2h7x7wf32ys3r5ky6jk332k"
    }

version: This is the metadata version. It should be 0.

start: This is the UTC time of the first event in the file. It is an iso8601 datetime. It must use the 'T' separator, include microseconds, and use the 'Z' time-zone format. Alternatively, if the file is associated with an instant, this is the only relevant time. It is required.

end: This is the UTC time of the last event in the file. It is an iso8601 datetime. It must use the 'T' separator, include microseconds, and use the 'Z' time-zone format. If the key is not present or if the value is None, the file represents a snapshot of something like a weekly report where only one date (start) is relevant.

path: The absolute path to the file in the originating filesystem.

where: This is the location or server that generated the file. It is required and must only contain lowercase alpha-numeric characters, - and _. It should be concise. 'localhost' and 'vagrant' are bad names. Something like 'whirlyweb02-prod' is good.

what: This is the process or program that generated the file. It is required and must only contain lowercase alpha-numeric characters, - and _. It must not have trailing file extension (e.g., .log). The name should be concise to limit the chances that it conflicts with other whats in the datalake. So names like 'job' or 'task' are bad. Names like 'balyhoo-source-audit' or 'rawfood-ingester' are good.

uuid: A UUID4 for the file assigned by the datalake. It is required.

cid: A base32-encoded 16-byte blake2 hash of the file content. This is calcluated and assigned by the datalake. It uses mutlibase and multihash, so is self-describing. It is required.

work_id: This is an application-specific id that can be used later to retrieve the file. It is required but may be null. In fact the datalake utilities will generally default it to null if it is not set. It must not be the string "null". It should be prepended with a domain-specific prefix to prevent conflicts with other work id spaces. It must only contain lowercase alpha-numeric characters, -, and _.

Developer Setup

    mkvirtualenv datalake # Or however you like to manage virtualenvs
    pip install -e .[test]
    py.test

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  • Python 100.0%