Update _bulk_inserts.md

Author: jangdan

docs/best-practices/_snippets/_bulk_inserts.md

@@ -7,5 +7,5 @@ We recommend inserting data in batches of at least 1,000 rows, and ideally betwe
 If you're unable to batch data client-side, ClickHouse supports asynchronous inserts that shift batching to the server ([see](/best-practices/selecting-an-insert-strategy#asynchronous-inserts)).
 
 :::tip 
-Regardless of the size of your inserts, we recommend keeping the number of insert queries around one insert query per second. The reason for that recommendation is that the created parts are merged to larger parts in the background (in order to optimize your data for read queries), and sending too many insert queries per second can lead to situations where the background merging can't keep up with the number of new parts. However, you can use a higher rate of insert queries per second when you use asynchronous inserts (see asynchronous inserts). 
+Regardless of the size of your inserts, we recommend keeping the number of insert queries around one insert query per second. The reason for this recommendation is that the created parts are merged to larger parts in the background (in order to optimize your data for read queries), and sending too many insert queries per second can lead to situations where the background merging can't keep up with the number of new parts. However, you can use a higher rate of insert queries per second when you use asynchronous inserts (see asynchronous inserts). 
 :::