The query can specify a list of columns to insert `[(c1, c2, c3)]`. In this case, the rest of the columns are filled with:
- The values calculated from the `DEFAULT` expressions specified in the table definition.
- Zeros and empty strings, if `DEFAULT` expressions are not defined.
If [strict_insert_defaults=1](../operations/settings/settings.md#settings-strict_insert_defaults), columns that do not have `DEFAULT` defined must be listed in the query.
Data can be passed to the INSERT in any [format](../interfaces/formats.md#formats) supported by ClickHouse. The format must be specified explicitly in the query:
```sql
INSERT INTO [db.]table [(c1, c2, c3)] FORMAT format_name data_set
```
For example, the following query format is identical to the basic version of INSERT ... VALUES:
```sql
INSERT INTO [db.]table [(c1, c2, c3)] FORMAT Values (v11, v12, v13), (v21, v22, v23), ...
```
ClickHouse removes all spaces and one line feed (if there is one) before the data. When forming a query, we recommend putting the data on a new line after the query operators (this is important if the data begins with spaces).
Example:
```sql
INSERT INTO t FORMAT TabSeparated
11 Hello, world!
22 Qwerty
```
You can insert data separately from the query by using the command-line client or the HTTP interface. For more information, see the section "[Interfaces](../interfaces/index.md#interfaces)".
Columns are mapped according to their position in the SELECT clause. However, their names in the SELECT expression and the table for INSERT may differ. If necessary, type casting is performed.
None of the data formats except Values allow setting values to expressions such as `now()`, `1 + 2`, and so on. The Values format allows limited use of expressions, but this is not recommended, because in this case inefficient code is used for their execution.
Other queries for modifying data parts are not supported: `UPDATE`, `DELETE`, `REPLACE`, `MERGE`, `UPSERT`, `INSERT UPDATE`.
However, you can delete old data using `ALTER TABLE ... DROP PARTITION`.
`INSERT` sorts the input data by primary key and splits them into partitions by month. If you insert data for mixed months, it can significantly reduce the performance of the `INSERT` query. To avoid this:
- Add data in fairly large batches, such as 100,000 rows at a time.
- Group data by month before uploading it to ClickHouse.