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Update clickhouse-v21.12-released.md

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website/blog/en/2021/clickhouse-v21.12-released.md
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@ -261,7 +261,7 @@ ClickHouse combines fast query engine and efficient data storage. It also allows
When reading large files in `Parquet`, `ORC`, and `Arrow` format using the `s3`, `url`, and `hdfs` table functions, ClickHouse will now automatically choose whether to read the entire file at once or read parts of it incrementally. This is now enabled by default and the setting `remote_read_min_bytes_for_seek` controls when to switch from reading it all to reading in chunks. The default is 1MiB.
`Parquet`, `ORC`, and `Arrow` are column-oriented formats (quite similar to ClickHouse Native format) and now we can read only requested columns even if they are being read from remote HTTP server with the `url` table function (range requests will be performed).
`Parquet`, `ORC`, and `Arrow` are column-oriented formats (quite similar to ClickHouse Native format) and now we can read only requested columns even if they are being read from remote HTTP server with the `url` table function (range requests will be performed to skip unneeded data).
**How does this help our ClickHouse Users?**