I came across this question on a coding platform One single table is given. It is of the following format: Temperature_records Record_date Data_type Data_value 2020-07-01 max 92 2020-07-01 min 71 2020-07-01 avg 74 2020-07-02 max 90 2020-07-02 min 67 2020-07-02…
Given the following sql table | id | name | mother | father | brothers | |----|-------|--------|--------|-----------| | 1 | danny | 3 | 2 | {4, 6, 7} | | 2 | bob | 20 | 30 | {}…
I was working on parsing sql queries and then turning them into their parse trees, but in calcite, the smallest node is broken down to SqlIdentifier. Which doesn't specify the context of the node. I want to know if that…
I have a table app_order with columns price (a number) and side (side can be either 'up' or 'down'). I need to write a postgreSQL condition within a WHERE clause that filters app_order entries for which price is both: bigger…
I have two tables I want to compare data from. The query of the first table is below and it gives me 12 rows. ***** 1st Query ************ SELECT distinct a.pnr AS PNR, a.station_code as Station,a.date as Date, sum(a.allamount) as…
I've a very big table (around 19.000.000 records), and I want to select 10 rows randomly. I found this solution: select * from my_table as one where one.id >= ( select FLOOR(rand() * (select max(two.id) from my_table as two)) as…
I'm currently working on LeetCode problem 619, "Biggest Single Number," using MySQL. The problem can be found at this link: https://leetcode.com/problems/biggest-single-number/description/ I've written a query for this problem, but I'm unable to obtain the correct answer. I suspect that the…
Given a row in an example table as: Column A abcccaaaaddeeaabbaa How can we get the following output using MYSQL? sequence occurrences aaaa 1 ccc 1 dd 1 ee 1 aa 2 bb 1 a 1 b 1 Tried to…
I have the following code: query = "SELECT * FROM appointments WHERE service IN %s AND location LIKE '%London%'" values = (services,) # services is a tuple of strings. cur.execute(query, values) When I execute this code I get the following…
There is a database with online store customers, which has the following data: id buyer's; order number; date and time of the order; order amount. Data on customers and orders for 3 months. How to withdraw customers who made more…