[new]: is_table_row_number_anomalous(fully_qualified_table_name)

[unytics]

Check the idea has not already been suggested

• I could not find my idea in existing issues

Edit the title above with self-explanatory function name and argument names

• The function name and the argument names I entered in the title above seems self explanatory to me.

BigFunction Description as it would appear in the documentation

Get table row count for the last 7 days (using time travelling feature of BigQuery) and check that current row count is not unusual compared to yesterday row count and regarding the evolution of the 7 latest days

Examples of (arguments, expected output) as they would appear in the documentation

one_public_table_name --> false

[shivam221098]

I can't understand clearly. Does that mean comparing today's row count with yesterday's and today's row count with the day before yesterday and so on up to 7 days latest days?

For example - if today is 28 April 2023

then the comparison will be

Today	previous	is_equal
28-April-2023	27-April-2023	true
28-April-2023	26-April-2023	true
28-April-2023	25-April-2023	true
28-April-2023	24-April-2023	false
28-April-2023	23-April-2023	true
28-April-2023	22-April-2023	true
28-April-2023	21-April-2023	true

Is this need to be done or just have to compare it with 7 days old table? and output as true or false.

[unytics]

I was thinking on:

• getting table row count for today using INFORMATION_SCHEMA
• getting table row count for latest 7 days using INFORMATION_SCHEMA and time travel
• calling prophet bigfunction to forecast the row count of today given the row counts of the latest 7 days
• return an anomaly score given the distance from the prediction and the real value. The score computation must be clever.

We can also avoid prophet and use a business rule.