select distinct on one column with multiple columns returned
If you want to select distinct values of some columns in the select list, you should use the GROUP BY clause.. The DISTINCT keyword is applied to all columns. SELECT DISTINCT TOP 3 customer_name, order_no, Purchase_Cost FROM PurchaseTable ORDER BY Purchase_Cost ... Get rows having different values for a column based on the duplicate values of combination of other 3 columns. One more approach not mentioned yet is to use window functions, for instance row_number: SELECT * FROM ( SELECT acss_lookup.ID AS acss_lookupID, ROW_NUMBER() OVER (PARTITION BY your_distinct_column ORDER BY any_column_you_think_is_appropriate) as num, acss_lookup.product_lookupID AS acssproduct_lookupID, acss_lookup.region_lookupID AS ⦠But I want a single column to have distinct ⦠values - select distinct on one column with multiple columns returned . Perhaps you have multiple rows for an ID and want to show only one row for that ID, but want to show multiple columns? SELECT key, value FROM tableX ( SELECT key, value, ROW_NUMBER() OVER (PARTITION BY key ORDER BY whatever) --- ORDER BY NULL AS rn --- for example FROM tableX ⦠Update: Tested all 5 queries in SQLfiddle with 100K rows (and 2 separate cases, one with few (25) distinct values and another with lots (around 25K values). select category , offer_id, store_image from `tbl_coupan_offer` where `offer_id` in (Select max(`offer_id`) ⦠When I run the query with COUNT() it returns the value 1. This method relies on another column that should be ⦠how to select top and last ranked record 1 Answer Convert string to RDD in pyspark 3 Answers How to concatenate/append multiple Spark dataframes column wise in Pyspark? DISTINCT on one column and return TOP rows. Query One. I have to display result with select multiple column but distinct on only one column i have also used following queries and also refereed below link. Select DISTINCT on One Column with Multiple Columns Returned. select id, (select top 1 Name + ' , ' + department from @t t2 where t.id = t2.id) from @t t group by id go. The advantage is that you can select other columns in the result as well (besides the key and value) :. 2 Answers Unable to collect data frame using dbconnect 1 Answer Gathers the result with two columns where name and dept are merged together in a single column. 2. Well, you can do that in SQL, but you canât do it with DISTINCT. Find answers to SELECT DISTINCT on one column, with multiple columns returned, ms access query from the expert community at Experts Exchange Get code examples like "select distinct on one column with multiple columns returned sql" instantly right from your google search results with the Grepper Chrome Extension. SELECT DISTINCT col1,col2,col3,col4 from table This doesn't work, because DISTINCT here applies to all columns so columns as a whole are distinct. Select Count(Distinct Value) returns 1 (4) I'm designing a query in SSMS 2005 which looks something like this: SELECT COUNT (DISTINCT ColumnName) FROM Table WHERE ColumnName IS NOT NULL. Do you want to use the DISTINCT keyword on one column and show multiple columns? Ask Question Asked 3 years, 7 months ago. It means that the query will use the combination of values in all columns to evaluate the distinction. In case a column contains multiple NULL values, DISTINCT will keep only one NULL in the result set. For other DBMSs, that have window functions (like Postgres, SQL-Server, Oracle, DB2), you can use them like this.
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