I am using Informix database for storing data.Iam continuously running my application from 08:00AM to 04:00pm.I want to take the average in every half hour from 08:00AM till end and generate report.I am using VBA script in my application.
If any one know how to take average in every half hour and generate report by using script.
Is this an Informix doubt, or a VBA one?
If you mean "how can I get an average in Informix", you can use (as in several other database engines, AVG function).
Related
Hope I can explain the problem I'm having trouble with.
I have to write a stepwise methodology using pseudocode/SQL query to auto generate a list of products/items with low stock/expiry from the inventory database.The list must be updated at 12 a.m. daily.
I tried this
CREATE EVENT IF NOT EXISTS update_table
ON SCHEDULE EVERY 1 DAY STARTS '2022-05-22 00:00:00'
ON COMPLETION PRESERVE ENABLE
Do
Select inventory.products from inventory where inventory.stocks <
inventory.required_stocks.
Your stated requirement is to run some sort of report very soon after the beginning of each calendar day.
The next question you must answer is this: What will you do with that report? Will you simply drop it into "low_stock" table someplace in your database? Will you format it into an email message and send it to your purchasing department? It will be difficult to make "pseudocode" for your requirement without first analyzing the overall business process you intend to enhance.
Various RDBMS systems have ways of doing scheduled things at particular times of day. You've shown the EVENT setup provided by MariaDB / MySQL. SQL Server has their "Jobs" system. postgreSQL has the pg_cron extension. Yo
The thing is, you can't just do SELECT operations from within these scheduled database actions: the result sets have noplace to go from that context. You can do CREATE TABLE midnight_run AS SELECT whatever ... to place the results in a table. But then the results are in another table.
If you want to get the results out of the DBMS, you'll need a UNIXish cron job or a Windowsish scheduled task running an appropriate application at midnight each day.
Pro tip Do your best to avoid scheduling stuff for precisely midnight. Many things run then. If you wait until a couple of minutes after the hour, your code is less likely to contend with other midnight code.
Recently I created an automated production scheduling tool through Excel that assigns a rank to items being produced in the same process, and then uses that rank in combination with the workload to create a schedule.
It functions exactly the way it is intended to, but due to the large amount of data and it being excel it has very slow performance, which is why I am looking to move the calculations over to SQL.
The general logic is like this:
-Always produce everything from the first day before the second day
-Always produce items from an earlier rank before items from a later rank
You can see how this plays out in the image below, where the line has 21.5 hours today, so items will be produced on day 1 until it equals 21.5, where the remainder is then carried over to day 2 and so on.
I was able to do this in excel using lengthy positional based formulas, but I am trying to think of a way to get the same result in SQL without having to rely on looking at the row above.
I am not sure how to convey something like 'Subtract from the available time production time of higher priority items produced on the same day'.
I apologize if the question is unclear, but any advice would be appreciated.
Image of Production Hours Cascading by Priority and Day
Example of Position-Based Fomula
Thanks to shawnt00, that put me in the right direction. Ultimately I had to modify the case statements a bit to go off of the cumulative total instead, but I was able to get the desired results using a sum() Over (partition by order by ) statement.
I am looking to pull data between two time periods at only 15 to 30 mins apart. I want to be able to rerun the code multiple times to constantly update the data I had already pulled. I know there is a function for current system time but I am unable to use it effectively in SQL developer.
I have tried using the function CURRENT_TIMESTAMP but could not get it to work effectively.
Currently i am using the following code and just pulling over a broad time frame, but i would like to shrink that down to 15 to 30 minute intervals that could be used to continue to pull updated data.
I expect to be able to pull current data within 15 to 30 minute segments of time.
I have a database which captures everyday every column data as binary 0 or 1 in a SQL database. Now I want to calculate what is the avg no. of days a user takes to complete that column. How can I run the query for that?
Please note timeline for every user is different and I want data to be in 3 days slab (for example 1-3,4-6 so on and so forth).
I am looking for an algorithm to extract data from one system in to another but on a sliding scale. Here are the details:
Every two weeks, 80 weeks of data needs to be extracted.
Extracts take a long time and are resource intensive so we would like to distribute the load of the extract over time.
The first 8-12 weeks are the most important and need be updated more often over the two week window. Data further out can be updated less frequently to the point where the last 40 weeks+ could even just be extracted once every two weeks.
Every two weeks, the start date shifts two weeks ahead and so two new weeks are extracted.
Extract procedure takes a start and end date (this is already made and should be treated like a black box). The procedure could be run for multiple date spans in a day if required but contiguous dates are faster than multiple blocks of dates.
Extracts blocks should be no smaller than 2 weeks and probably no greater than 16 weeks. Longer blocks are possible but at 16 weeks are already a significant load to the system.
4 contiguous weeks of data takes about 1 hour approximately. It takes a long time because the data needs to be generated/calculated.
Data that is newly extracted replaces the old data for the timespan. No need to merge or diff the data, it is just replaced.
This algorithm needs to be built into a SQL job which will handle the daily process (triggered once a day only).
My initial thought was to create a sliding schedule pretty much. Rotate the first 4 week block every second day and then the second 4 week block every 3 to 4 days. The rest of the data would be extracted in blocks in smaller chunks over the two week period.
What I am going to do will work but I wanted to spend some time seeing if there might be a better way to approach the problem. Mainly looking for an algorithm to do the start/end date schedule for the daily extract.