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Showing content from https://docs.databricks.com/aws/en/sql/language-manual/sql-ref-syntax-ddl-alter-streaming-table below:

ALTER STREAMING TABLE | Databricks Documentation

ALTER STREAMING TABLE table_name
{
{ ADD | ALTER } SCHEDULE [ REFRESH ] schedule_clause |
DROP SCHEDULE |
ALTER COLUMN clause |
SET ROW FILTER clause |
DROP ROW FILTER |
SET TAGS clause |
UNSET TAGS clause |
}

schedule_clause
{ EVERY number { HOUR | HOURS | DAY | DAYS | WEEK | WEEKS } |
CRON cron_string [ AT TIME ZONE timezone_id ] }
  • table_name

    The name of the streaming table to alter the definition of. The name must not include a temporal specification.

  • SCHEDULE [ REFRESH ] schedule_clause

    Allows you to add a schedule to or alter the schedule of a streaming table.

  • ALTER COLUMN

    Changes a property of a column.

  • SET ROW FILTER clause

    Adds a row filter function to the streaming table. All subsequent queries to the streaming table receive a subset of the rows where the function evaluates to boolean TRUE. This can be useful for fine-grained access control purposes where the function can inspect the identity or group memberships of the invoking user to determine whether to filter certain rows.

  • DROP ROW FILTER

    Drops the row filter from the streaming table, if any. Future queries return all rows from the table without any automatic filtering.

  • SET TAGS ( { tag_name = tag_value } [, ...] )

    Apply tags to the streaming table. You need to have APPLY TAG permission to add tags to the streaming table.

  • UNSET TAGS ( tag_name [, ...] )

    Remove tags from the streaming table. You need to have APPLY TAG permission to remove tags from the streaming table.


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