openhistorian 1.0.1

openHistorian Python API

openHistorian Python API

This is the Python API used for high-speed reading and writing of time-series data with the openHistorian.

The openHistorian is a back office system designed to efficiently integrate and archive process control data, e.g., SCADA, synchrophasor, digital fault recorder or any other time-series data used to support process operations. The openHistorian is optimized to store and retrieve large volumes of time-series data quickly and efficiently, including high-resolution sub-second information that is measured very rapidly, e.g., many thousands of times per second.

Overview

The openHistorian 2 is built using the SNAPdb Engine - a key/value pair archiving technology. SNAPdb was developed to significantly improve the ability to handle extremely large volumes of real-time streaming data and directly serve the data to consuming applications and systems. See the Python API implementation of SNAPdb.

Through use of the SNAPdb Engine, the openHistorian inherits very fast performance with very low lag-time for data insertion. The openHistorian 2 is a time-series implementation of the SNABdb engine where the "key" is a tuple of time and measurement ID, and the "value" is the stored data - which can be most any data type and associated flags. See the Python API implementation of the openHistorian instance of SNAPdb

The Python API for openHistorian is designed as a socket-based, high-speed API that interacts directly with the openHistorian in-memory cache for very high speed extraction of near real-time data. The archive files produced by the openHistorian are ACID Compliant which create a very durable and consistent file structure that is resistant to data corruption. Internally the data structure is based on a B+ Tree that allows out-of-order data insertion.

License

openHistorian and the Python API are licensed under the MIT License.