Update CREATE_MATERIALIZED_VIEW.md

Signed-off-by: 絵空事スピリット <[email protected]>

docs/en/sql-reference/sql-statements/materialized_view/CREATE_MATERIALIZED_VIEW.md

@@ -242,7 +242,7 @@ Valid values:
 - `column_name`: The name of the column used for partitioning. The expression `PARTITION BY dt` means to partition the materialized view according to the `dt` column.
 - `date_trunc` function: The function used to truncate the time unit. `PARTITION BY date_trunc("MONTH", dt)` means that the `dt` column is truncated to month as the unit for partitioning. The `date_trunc` function supports truncating time to units including `YEAR`, `MONTH`, `DAY`, `HOUR`, and `MINUTE`.
 - `str2date` function: The function used to partition string type parititions of base table into materialized view's partition. `PARTITION BY str2date(dt, "%Y%m%d")` means that the `dt` column is a string date type whose date format is `"%Y%m%d"`. The `str2date` function supports a lot of date formats, you can refer to [str2date](../../sql-functions/date-time-functions/str2date.md) for more information. Supported from v3.1.4.
-- `time_slice` or `date_slice` functions: From v3.1 onwards, you can further use these functions to convert the given time into the beginning or end of a time interval based on the specified time granularity, for example, `PARTITION BY date_trunc("MONTH", time_slice(dt, INTERVAL 7 DAY))` where time_slice and date_slice must have a finer granularity than date_trunc. You can use them to specify a GROUP BY column with a finer granularity than that of the partitioning key, for example, `GROUP BY time_slice(dt, INTERVAL 1 MINUTE) PARTITION BY date_trunc('DAY', ts)`.
+- `time_slice` function: From v3.1 onwards, you can further use these functions to convert the given time into the beginning or end of a time interval based on the specified time granularity, for example, `PARTITION BY date_trunc("MONTH", time_slice(dt, INTERVAL 7 DAY))` where time_slice must have a finer granularity than date_trunc. You can use them to specify a GROUP BY column with a finer granularity than that of the partitioning key, for example, `GROUP BY time_slice(dt, INTERVAL 1 MINUTE) PARTITION BY date_trunc('DAY', ts)`.
 
 If this parameter is not specified, no partitioning strategy is adopted by default.