thevar1able/ClickHouse
1
0
Fork 0
mirror of https://github.com/ClickHouse/ClickHouse.git synced 2024-11-26 09:32:01 +00:00
Code Issues Packages Projects Releases Wiki Activity

Update youtube-dislikes.md

Browse Source
This commit is contained in:
rfraposa 2023-03-25 21:47:55 -06:00
parent ca732c4013
commit bc91bd518b
1 changed files with 31 additions and 2 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

33
docs/en/getting-started/example-datasets/youtube-dislikes.md
View File

@ -9,7 +9,7 @@ description: A collection is dislikes of YouTube videos.
In November of 2021, YouTube removed the public ***dislike*** count from all of its videos. While creators can still see the number of dislikes, viewers can only see how many ***likes*** a video has received.
:::important
The dataset has over 4 billion records, so be careful just copying-and-pasting the commands below unless your resources can handle that type of volume. The commands below were tested on a Development instance of [ClickHouse Cloud](https://clickhouse.cloud).
The dataset has over 4.5 billion records, so be careful just copying-and-pasting the commands below unless your resources can handle that type of volume. The commands below were ran on a **Development** instance of [ClickHouse Cloud](https://clickhouse.cloud).
:::
The data is in a JSON format and can be downloaded from [archive.org](https://archive.org/download/dislikes_youtube_2021_12_video_json_files). We have made this same data available in S3 so that it can be downloaded much more efficiently into a ClickHouse Cloud instance.
@ -113,4 +113,33 @@ SELECT
FROM s3Cluster('default','https://clickhouse-public-datasets.s3.amazonaws.com/youtube/original/files/*.zst', 'JSONLines');
```
4.
4. Open a new tab in the SQL Console of ClickHouse Cloud (or a new `clickhouse-client` window) and watch the count increase:
```sql
select formatReadableQuantity(count()) from youtube;
```
5. It will take a while to insert 4.56B rows, depending on your server resources. Once the data is inserted, go ahead and count the number of dislikes of your favorite videos or channels. Let's see how many videos were uploaded by ClickHouse:
```sql
SELECT *
FROM youtube
WHERE uploader ILIKE '%ClickHouse%';
```
6. Here is a search for videos with **ClickHouse** in the `title` or `description` fields:
```sql
SELECT
view_count,
like_count,
dislike_count,
concat('https://youtu.be/', id) AS url,
title
FROM youtube
WHERE (title ILIKE '%ClickHouse%') OR (description ILIKE '%ClickHouse%')
ORDER BY
like_count DESC,
view_count DESC;
```