I’m attempting to return only the modified records in a table, using T-SQL. This is what I’ve done thus far: Results: Expected results: The following statement returns all the 0 to 1, and 1 to 0 records and I don’t understand why: Answer To track the changes at whole dataset, you were almost there, you just need to remove the
Tag: lag
Presto lag dates, group/partitioned by id
Say that I want to find every time that a client updated their budget. Here’s what my data looks like And the code I’ve run. What I’m expecting returned will be Hence there are NULL values for dt_2 in the first entry of each client_id. I’m not sure what code will accomplish this effect; is a GROUP BY clause will
how to select third, fourth, fifth date in sql using window function
The table rental of movies has this data: how to generate pairs of : first rental_ts, second rental date, second rental, third rental date, …. second LAST rental date, last rental date, last rental date, null? using window functions- this is not working: i expect: basically i need more than 1 level back – but dont know how to use
How can I create a column which computes only the change of other column on redshift?
I have this dataset: The dataset has the product the company sells and the customers who saw the product. A customer can see more than one product, but the combination product + customer doesn’t have any repetition. I want to get how many people bought the product before the customer sees it. This would be the perfect output: As you
compute time difference between rows and conditional group by using PostgreSQL
I have data like as shown below: +——-+——-+ | index | time | +——-+——-+ | 1 | 09.00 | | 2 | 09.02 | | 3 | 09.03 | | 4 | 09.05 | | 5 | 09.11 | | 6 | 09.12 | | …
Seeking help fixing a small sql query
I am needing a query to return a list of time entries from the last 21 days, sort that list by member id and then by start time, then compare the start time in each row against the end time of the previous row, then display the rows where the start time is larger than the previous rows end time.
how to comparison LAG function in mysql
I got complicated problem in mysql. I have some table on mydatabase. sample docs(this is only simple sample, actual data are so many table that I have to join) table “merchant” table “transaction” I want to know the information of merchants transaction daily “before” and “after” to comparison like this below I tried with this query but that query didn’t
SQL Server Lag and Lead
I’m using SQL Server 2014. I have a table: I have some data: If I perform a LAG and LEAD using the below for one Job, I get the desired result: Result: Notice the NULL for the first FromActionCode and LastToCode, which is correct. However, If I look at all records, it messes it up: What am I missing? Answer