Amazon Redshift will no longer support the use of Python UDFs after June 30, 2026.
We will start enforcing it in phases. For more information on the details of Python end of life
and migration options, see the
blog post
analyze_threshold_percent
Values (default in bold)
10, 0 to 100.0
Description
Sets the threshold for percentage of rows changed for analyzing a table. To reduce
processing time and improve overall system performance, Amazon Redshift skips ANALYZE for any table
that has a lower percentage of changed rows than specified by
analyze_threshold_percent. For example, if a table contains 100,000,000
rows and 9,000,000 rows have changed since the last ANALYZE, then by default the table
is skipped because fewer than 10 percent of the rows have changed. To analyze tables
when only a small number of rows have changed, set
analyze_threshold_percent to an arbitrarily small number. For example,
if you set analyze_threshold_percent to 0.01, then a table with 100,000,000
rows will not be skipped if at least 10,000 rows have changed. To analyze all tables
even if no rows have changed, set analyze_threshold_percent to 0.
You can modify the analyze_threshold_percent parameter for the current
session only by using a SET command. The parameter can't be modified in a parameter
group.
Example
set analyze_threshold_percent to 15; set analyze_threshold_percent to 0.01; set analyze_threshold_percent to 0;