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Developing a query optimizer similar to Neo using a different machine learning algorithm. This optimizer will focus on optimizing indexes and the IN clause to generate combinations of queries. After optimizing, it will predict the execution time of each query in these combinations using ML linear regression.The prediction based on vectorization

active 2024-03-122024-03-13 (UTC)

Complete coverage26,697 / 26,697 hourly files (100%) · 2 absent upstream2023-08-152026-08-31 (UTC)
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6
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1
Pull requests
0
Issues
0
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0
Forks
0

Activity over time

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Line chart, 2 days from 2024-03-12 to 2024-03-13. Pushes: 1 total, peak 1 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 0 total, peak 0 in a day. Comments: 0 total, peak 0 in a day. Stars: 0 total, peak 0 in a day.

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Top contributors

Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity

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houdakaissi1100

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Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 0 stars here means stars gained during the window, not the repo's star count.