vldbss2022

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# VLDB Summer School 2022

## Introduction

This is the labs of VLDB Summer School 2022, which contains some experiments about learning-based optimizer.

## Labs

There are 4 labs in this course.

- [Lab 1](./lab1/doc/readme.md), learning-based cardinality estimation.
- [Lab 2](./lab2/doc/readme.md), learning-based cost estimation.
- [Lab 3](./lab3/doc/readme.md), integration with a realistic Database(TiDB).
- [Lab 4](./lab4/doc/readme.md), an end-to-end cardinality and cost estimator.

You need to fill some missing code in order to complete these labs.

## Autograding

The details of classroom usage can be found in the [classroom doc](docs/classroom.md).

The Assignment link is 'https://classroom.github.com/a/6StbajGD'

If you don't use [GitHub classroom](https://classroom.github.com/), just fork this repo, work in your repo, you will not have a score.

The course only grades lab1-3, but lab4 will also be automatically evaluated when you push to your repo.

### Getting started

First, please study the[classroom doc](docs/classroom.md) and clone the repository with git to get the source code of the project.

``` bash
git clone https://github.com/vldbss-2022/vldbss2022-{{username}}.git
```

Then make sure you have installed [python](https://www.python.org/downloads/) toolchains.

For the other matters needing attention, we will introduce them in detail in each lab.

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