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Remove SETTINGS from Youtube dataset #48798

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Apr 14, 2023
Merged

Remove SETTINGS from Youtube dataset #48798

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42554e2
Update youtube-dislikes.md
rfraposa Apr 14, 2023
d98bee8
Update youtube-dislikes.md
rfraposa Apr 14, 2023
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10 changes: 1 addition & 9 deletions docs/en/getting-started/example-datasets/youtube-dislikes.md
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Original file line number Diff line number Diff line change
Expand Up @@ -122,25 +122,17 @@ SELECT
super_titles,
ifNull(uploader_badges, '') AS uploader_badges,
ifNull(video_badges, '') AS video_badges
FROM s3Cluster(
'default',
FROM s3(
'https://clickhouse-public-datasets.s3.amazonaws.com/youtube/original/files/*.zst',
'JSONLines'
)
SETTINGS
max_download_threads = 24,
max_insert_threads = 64,
max_insert_block_size = 100000000,
min_insert_block_size_rows = 100000000,
min_insert_block_size_bytes = 500000000;
```

Some comments about our `INSERT` command:

- The `parseDateTimeBestEffortUSOrZero` function is handy when the incoming date fields may not be in the proper format. If `fetch_date` does not get parsed properly, it will be set to `0`
- The `upload_date` column contains valid dates, but it also contains strings like "4 hours ago" - which is certainly not a valid date. We decided to store the original value in `upload_date_str` and attempt to parse it with `toDate(parseDateTimeBestEffortUSOrZero(upload_date::String))`. If the parsing fails we just get `0`
- We used `ifNull` to avoid getting `NULL` values in our table. If an incoming value is `NULL`, the `ifNull` function is setting the value to an empty string
- It takes a long time to download the data, so we added a `SETTINGS` clause to spread out the work over more threads while making sure the block sizes stayed fairly large

4. Open a new tab in the SQL Console of ClickHouse Cloud (or a new `clickhouse-client` window) and watch the count increase. It will take a while to insert 4.56B rows, depending on your server resources. (Without any tweaking of settings, it takes about 4.5 hours.)

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