Create the custom expression distinct(case( = 'Shipped', )) and name it “Total Orders Shipped”.You can combine case with aggregate functions to only aggregate rows that meet your conditions.įor example, if we want to count the unique number of orders for each order date, but only those with a “Shipped” status: Order ID Apply business definitions or business logic to your datasets.Īggregating data based on conditions from multiple columns.You can use the columns holding your “labels” to: = FALSE AND = TRUE, 'Superman'), 'Unknown') Where Bucket is a custom column with the expression:Ĭase( = TRUE AND = TRUE, 'Bird', Returns the output from the first condition that’s met.Ĭase(isempty('glass half full'), 'empty glass', isnull('glass half full'), 'missing glass', 'glass half full')īucketing data for frequency tables or histograms Amount aggregate rows based on conditional logic.Ĭase(condition1, output1, condition2, output2.Use the case expression whenever you need to: If you don’t set a default output, case will return null after checking all of your conditions ( null values are displayed as blank values in Metabase). You can optionally tell case to return a default output if none of the conditions are met. Basically, case works the same way as “if… then” logic, but it’s much nicer to write. The values are sorted in descending date order so that the first element of each array is the most recently assigned for the given key.Case checks if a value matches a list of conditions, and returns some output based on the first condition that’s met. Currently I'm using: coalesce ( trim (stringexpression),'')'' But it looks a bit ugly. To get around this limitation, ARRAY_AGG is used to collect the filtered values within each group. What is best way to check if value is null or empty string in Postgres sql statements Value can be long expression so it is preferable that it is written only once in check. The FILTER clause is not implemented for non-aggregate window functions such as FIRST_VALUE and LAST_VALUE. (array_agg(te.value ORDER BY te.created_date DESC) filter (WHERE te.key = 'status')) AS 'Ticket Status' Min(te.created_date) AS 'Ticket Created Date', (array_agg(te.value ORDER BY te.created_date DESC) filter (WHERE te.key = '22820430')) AS 'Ticket Plan Tier', (array_agg(te.value ORDER BY te.created_date DESC) filter (WHERE te.key = 'type')) AS 'Ticket Type', The following query returns the required results: WITH ticket_events(id, created_date, KEY, value) AS ( Need to map the rest of the columns into each ticket. I am trying to have one row for each ticket by the ticket created date which I have already done using the partition. These are the columns that I need to pull from the events table (under key) and create a new table: Te.key is the columns in ticket events table and te.value has the corresponding value. I need to add in new columns that is within the ticket events table as rows. I have a ticket table with time stamp for different events within the ticket. Max(case when te.key = 22820430 then te.value end) as plan_tierįrom (select *,row_number()over(partition by te.ticket_id order by te.created_at)rn I am trying to add a CASE statement after a partition and I am getting null data in the new column that I created using case statement.Ĭode I am trying: select te.ticket_id,te.created_at,

Case in postgresql