Library for working with timeseries data on dynamodb
A set of libraries that make it easier to use DynamoDB as a timeseries datastore.
You can install DynamoDB TimeSeries from PyPI:
pip install python-dynamodb-timeseries
DynamoDB TimeSeries is supported on Python 3.6 and above.
Helps partition your data into tables by hour, day, month, or year.
Put datapoints singly or in batches, query the tags in parallel across tags and assemble the results. Uses Table Resolver to partition data.
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.
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'])
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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