CEB | Cardinality Estimation Benchmark

by learnedsystems Jupyter Notebook Version: Current License: MIT

X-Ray Key Features Code Snippets Community Discussions Vulnerabilities Install Support

kandi X-RAY | CEB Summary

CEB is a Jupyter Notebook library. CEB has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

Cardinality Estimation Benchmark

Support

Quality

Security

License

Reuse

Support

CEB has a low active ecosystem.

It has 45 star(s) with 14 fork(s). There are 5 watchers for this library.

It had no major release in the last 6 months.

There are 2 open issues and 2 have been closed. On average issues are closed in 3 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of CEB is current.

Quality

CEB has no bugs reported.

Security

CEB has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

CEB is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

CEB releases are not available. You will need to build from source code and install.

Installation instructions, examples and code snippets are available.

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CEB Key Features

No Key Features are available at this moment for CEB.

CEB Examples and Code Snippets

No Code Snippets are available at this moment for CEB.

Community Discussions

No Community Discussions are available at this moment for CEB.Refer to stack overflow page for discussions.

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install CEB

If you are only interested in evaluating the cardinalities, using a loss function such as Q-Error, or if you just want to use the queries for some other task, then you just need to download the workload. But the main goal of this dataset is to make it easy to evaluate the impact of cardinality estimates on query optimization. For this, we use PostgreSQL (and eventually plan to add support for other open source DBMS' like MySQL). We provide a dockerized setup with the appropriate setup to get started right away; Instead, you can also easily adapt it to your own installation of PostgreSQL. Docker is the easiest way to started with CEB.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

Find more information at: