WebDec 27, 2012 · 6 Answers Sorted by: 359 You can try this: select count (distinct tag) as tag_count, count (distinct (case when entryId > 0 then tag end)) as positive_tag_count from your_table_name; The first count (distinct...) is easy. The second one, looks somewhat complex, is actually the same as the first one, except that you use … WebApr 10, 2024 · In this example, we're selecting the customer_id column and a count of the number of orders placed by each customer, grouping the results by customer_id, and …
How to Use Filter to Have Multiple Counts in PostgreSQL
WebMay 1, 2024 · There are many occasions where you might like to filter data based on a list of values. That is where the SQL keyword IN comes into play. It works the same way as if you used the equals sign in the WHERE statement with multiple OR conditions. It is just a much cleaner and simpler way of writing the query. WebAug 11, 2016 · PostgreSQL 9.4 has introduced one of the very good FILTER CLAUSE which is used to apply filters in aggregate functions. Using FILTER, You can use different types of aggregate functions without applying any GROUP BY CLAUSE. Now Imagine, that I have one Student table and I want total number of Students based different grades. local government challenges
SQL Filtering 101 LearnSQL.com
WebUsing filter is useful when you want to do multiple counts on a table: select count(1), -- Count all users count(1) filter (where gender = 'male'), -- Count male users count(1) filter (where beta is true) -- Count beta users count(1) filter (where active is true and beta is false) -- Count active non-beta users from users. WebSELECT UID, COUNT (UID) AS TotalRecords, SUM (ContractDollars) AS ContractDollars, (COUNTIF (MyColumn, 1) / COUNT (UID) * 100) -- Get the average of all records that are 1 FROM dbo.AD_CurrentView GROUP BY UID HAVING SUM (ContractDollars) >= 500000 WebMar 18, 2016 · There is no filter here. Both col("is_fav") == 1 and col("is_fav") == 0) are just boolean expressions and count doesn't really care about their value as long as it is defined.. There are many ways you can solve this for example by using simple sum:. from pyspark.sql.functions import sum, abs gpd = df.groupBy("f") gpd.agg( … indian creek baptist church georgetown in