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Library for working with timeseries data on dynamodb

Project description

DynamoDB TimeSeries

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A set of libraries that make it easier to use DynamoDB as a timeseries datastore.

Installation

You can install DynamoDB TimeSeries from PyPI:

pip install python-dynamodb-timeseries

DynamoDB TimeSeries is supported on Python 3.6 and above.

Table Resolver

Helps partition your data into tables by hour, day, month, or year.

Timeseries

Put datapoints singly or in batches, query the tags in parallel across tags and assemble the results. Uses Table Resolver to partition data.

Datapoints

Datapoints are "narrow", meaning a datapoint consists of a tag, timestamp (ms since the epoch), and value. These are stored as individual items in DynamoDB.

Examples

from dynamodb_timeseries import MONTHLY, Timeseries

table_name_prefix = 'timeseries-testing'
timeseries = Timeseries(table_name_prefix, interval=MONTHLY, regions=['us-west-2', 'us-east-2'])
tag = 'example-tag'
timestamp = 1555722540000
value = 123.45
timeseries.put(tag, timestamp, value)
timeseries.put_batch([[tag, timestamp, value]])
datapoints = timeseries.query(['example-tag'])

Environment Variables

DYNAMODB_TIMESERIES_REGIONS Regions to create tables in. You can set this rather than passing the argument to each instance of TimeSeries.

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python-dynamodb-timeseries-0.2.0.tar.gz (5.3 kB view hashes)

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