cognitedata / cognitedata/cognite-sdk-python
Optimize datapoints retrival speed when specifying duplicate time series IDs
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- Dominant language
- Python
- Stars
- 92
- Forks
- 38
- Avg merge
- 2d 9h
- Merged PRs (30d)
- 42
Description
Is your feature request related to a problem? Please describe.
If the time series IDs are retrieved dynamically, you do not always know if the list of IDs will contain duplicates. However, it seems like retrieval time scales linearly with the number of duplicated IDs.
Describe the solution you'd like
Could the retrieval speed be improved in this case?
Describe alternatives you've considered
A clear and concise description of any alternative solutions or features you've considered.
Additional context
Add any other context or screenshots about the feature request here.
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
No file or test is named. Start by locating the SDK entry point for datapoint retrieval and reproduce the duplicate-time-series-ID case; done means retrieval no longer scales linearly with duplicate IDs while existing behavior remains covered by tests.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- api, data
- Issue type
- Feature
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Active
- Clarity
- Needs clarification
- Newbie friendliness
- 48/100