I have a table which requires filtering based on the dates. The goal is to select the latest date when there is multiple data points like in the example above. The account 3000 in the dataframe occurs under two Groups but the up-to-date and correct result should only reflect the group X because it was ingested into Databricks very recently.
Tag: aggregate-functions
INNER JOIN with aggregate functions in my SELECT
I’m trying to join a new column to my current query that uses aggregate functions. I create this column with a new query that also uses an aggregate function from a different table but I’m not sure if a JOIN will work for me since I need to join it to its respective row. TABLE A (employees that are enrolled
Allocate groups by size, preliminarily rounded and grouped
You are given a database of notebooks that contains two tables. the table notebooksbrand contains data about the name of notebook brands. the table notebooksnotebook contains data about the name of the notebook, its diagonal, width, depth, and height, and has a link to the brand to which this model belongs. You need to select groups of notebooks by size.
How to calculate rolling timestamp sum from table partitioned by specific column? – SQL
I have a table with a series of timelines that are normalized starting from 00:00:00.00000. I want to summate them sequentially and stitch them together based on my order_key value. Sample Data: Desired Output: My Attempt: Answer Consider below query: Recursive Approach Non-recursive Approach
SQL query to aggregate result of a column comparison
I have a SQL (Postgres) data structure that represents games for a group of matches. Table below shows that there have been 3 matches played (each consisting of either 2 or 3 games). match_id player_one player_two p1_game_result p2_game_result 1 player1 player2 12 10 1 player1 player2 3 11 1 player1 player2 5 9 2 player1 player3 11 2 2 player1
sql sales data grouped by year in separate columns in postgresql
I have two input tables: analysis (an_id, an_name, an_cost, an_price, an_group) orders (ord_id, ord_datetime, ord_an) # orders of analysis (sales) For every analysis_id I need to show the amount of orders for years 2020 and 2019. Expected output: an year2019 year2020 1 32 41 2 29 28 3 42 37 4 26 35 5 32 34 logic in my query:
How to Use Queries to show records based on conditions
I have an SQL query that selects data based on uploaded and not uploaded this is the query am using to achieve the data above I want to go a step further and group the data into two columns. I want to get the labnames grouped using the uploadstatus that is 0 as Not Uploaded and the ones having 1
PostgreSQL: Create array by grouping values of the same id
Given the following input data: id category 1 A 1 B 2 A 2 R 2 C 3 Z I aim aiming to get the following output table: id categories 1 {“A”,”B”} 2 {“A”,”R”,”C”} 3 {“Z”} using the following query: But what I get is the following table: id categories 1 {“A”,”B”,”R”,”C”,”Z”} 2 {“A”,”B”,”R”,”C”,”Z”} 3 {“A”,”B”,”R”,”C”,”Z”} How can I obtain
Invalid group by expression error when using any_value with max and window function in Snowflake
I was given a query and I am attempting to modify it in order to get the most recent version of each COMP_ID. The original query: I then attempted to use a window function to grab only the highest version for each comp_id. This is the modified query: When attempting to compile the below error is given: SQL compilation error:
How to classify rows having one or more related records
I need to add the additional column called rank_2 which will show whether the source has more than 1 source_ids. So, I need to get this result: I don’t know how to write a query to get rank_2, which will contain 1 when the source has the only source_id (like the source “b”) and contain 2 when the source has