Skip to main content

Kukur makes time series data and metadata available to the Apache Arrow ecosystem.

Project description

Kukur

Kukur makes time series data and metadata available to the Apache Arrow ecosystem.


WARNING

Kukur is under active development. Breaking changes to the interfaces are possible.

Kukur uses semantic versioning. While < 1.0.0, changes to the minor version indicate breaking changes.


Usage

Kukur can be used as a Python library or as a standalone application that exposes an Arrow Flight interface.

A Kukur Docker container is published to Docker Hub:

$ docker pull timeseer/kukur

Supported Sources

Multiple types of time series sources are supported:

  • ADODB connections (including OLEDB)
  • Apache Feather files
  • Apache Parquet files
  • Azure Data Explorer
  • CrateDB
  • CSV files
  • InfluxDB databases
  • Other Kukur or Timeseer instances
  • ODBC data sources

Check the documentation for more info

Contributing

Kukur welcomes contributions. For small fixes, just open a pull request on GitHub. Please discuss major changes in a GitHub issue first.

Each file in Kukur requires an SPDX License Identifier and Copyright Text:

# SPDX-FileCopyrightText: 2021 <you/your company>
# SPDX-License-Identifier: Apache-2.0

Community interactions are governed by the Code of Conduct.

License

Copyright 2021 Timeseer.AI

Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at

    http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.

Development

Create a virtualenv and install dependencies:

$ python -m venv venv
$ source venv/bin/activate
(venv) $ make deps dev-deps

Launch Kukur using:

(venv) $ python -m kukur.cli

Lint and format:

(venv) $ make lint

Kukur uses black to format all code.

Run unit tests:

(venv) $ make test

Integration Tests

Kukur runs integration tests against real databases where possible.

OS requirements to complete the integration tests are:

  • unixodbc
  • freetds

Integration tests require Kukur to be running with a special configuration. Some time series databases need to be started using docker-compose.

$ make compose

Then, in another shell:

(venv) $ python -m kukur.cli --config-file tests/test_data/Kukur.toml

Since the location of the freetds libraries varies and this needs to be hardcoded in the unixodbc configuration, several configuration profiles exist. These profiles can be selected using the KUKUR_INTEGRATION_TARGET environment variable:

  • /usr/lib/x86_64-linux-gnu/odbc/libtdsodbc.so: the default, no KUKUR_INTEGRATION_TARGET required
  • /usr/lib/libtdsodbc.so: use KUKUR_INTEGRATION_TARGET=linux
  • /usr/local/lib/libtdsodbc.so: use KUKUR_INTEGRATION_TARGET=local

Then, run the tests:

(venv) $ KUKUR_INTEGRATION_TARGET=linux make integration-test

Stop the databases using:

$ docker-compose -f tests/test_data/docker-compose.yml down --volumes

Alternatively, run Kukur in docker-compose as well to have a known stable setup:

$ docker-compose -f tests/test_data/docker-compose.yml -f tests/test_data/docker-compose.container.yml up -d

or build the Kukur container to have the latest Kukur image:

$ docker-compose -f tests/test_data/docker-compose.yml -f tests/test_data/docker-compose.container.yml up --build

Run the tests using:

(venv) $ make integration-test

Stop all containers:

$ docker-compose -f tests/test_data/docker-compose.yml -f tests/test_data/docker-compose.container.yml down --volumes

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

kukur-0.1.20.tar.gz (63.6 kB view details)

Uploaded Source

Built Distribution

kukur-0.1.20-py3-none-any.whl (92.4 kB view details)

Uploaded Python 3

File details

Details for the file kukur-0.1.20.tar.gz.

File metadata

  • Download URL: kukur-0.1.20.tar.gz
  • Upload date:
  • Size: 63.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.0.0 CPython/3.12.3

File hashes

Hashes for kukur-0.1.20.tar.gz
Algorithm Hash digest
SHA256 02adb7b741961897e3908db0078cb3fe687330358cbbb7bfc16f09d9cf38712c
MD5 2001fc40b0edf7217625f517b0f50213
BLAKE2b-256 83c61a9edd11c2c2dc703823995dc71b9ca7988917312e9842ec10ab1779c53a

See more details on using hashes here.

File details

Details for the file kukur-0.1.20-py3-none-any.whl.

File metadata

  • Download URL: kukur-0.1.20-py3-none-any.whl
  • Upload date:
  • Size: 92.4 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.0.0 CPython/3.12.3

File hashes

Hashes for kukur-0.1.20-py3-none-any.whl
Algorithm Hash digest
SHA256 6bc490bc59a925e82f489e142e62720fb004edf08e340c2585cb029bcdd1e1ba
MD5 c8e082cd44fc1206fff05b19f36239f8
BLAKE2b-256 a6e729a4eb6e17933d27e394df59e41b416421a18038172e90d7fc7177380172

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page