Does anybody knows how can I create a youtrack report which show how many free hours left for a user per days if a day is 8 work hours?
Partially this can be addressed by Time report, Per-user mode. You can create daily reports and check Spent time VS Estimation. Though it's not the best approach, but at least it's available at the moment.
We have this task for managing resources https://youtrack.jetbrains.com/issue/JT-29980 , please upvote.
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I have linked google analytic with big-query. After some hours I only got data of the past 1 day. What should I do since the data of the past 6 months?
You need to do the wizard for Backfilling. Essentially you setup a scheduling process that will ad your data from past. Some limitations apply, so don't expect this will be a full backfilling.
I've been tasked to create a data visualisation dashboard that relies on me drilling into the existing database.
One report is 'revenue per available covers' - part of the calculation determining how many hours were booked against how many hours were available.
The problem is the 'hours available', currently this is stored in a schedule table that has a 1-1 link with the venue - and if admin want to update this there is a simple CRUD panel with the pre-linked field ready to complete.
I have realised that if I rely on this table at any point in the future when the schedule changes the calculations change for any historic data.
Any ideas on how to keep a 'historic' schedule with as minimum impact as possible to the database?
What you have is a (potentially) slowly-changing dimension. Basically, there are two approaches:
For each transactional record, include the hours that you are interested in.
Store the schedule with time frames, which capture the schedule at a particular point in time.
In SQL Server, I would normally go for the second option, using effDate and endDate columns to capture the period when the schedule is active.
I would suggest that you start with a deeper explanation of the concept, such as the Wikipedia page.
we have been running a query on BigQuery for the last couple of weeks, and it has been executing fine. However, as of the morning of February 16 2016, it would only run at billing tier 2. Did Google change the billing tier definitions internally over the weekend as a Valentine's gift? ...
More seriously, it is important to communicate these changes (well) ahead of time.
Apologies for the surprise!
This change is part of our new high-compute query pricing, which is documented here:
https://cloud.google.com/bigquery/pricing#high-compute
The original announcement of the high-compute query pricing plan was here:
http://googlecloudplatform.blogspot.com/2015/08/Google-BigQuery-adds-UDF-support-for-deeper-cloud-analytics.html
This change was originally intended to go live earlier in the year, but was delayed for several weeks. I've rolled it back once again, but you should expect it to get rolled forward soon (weeks, if not days).
If you have additional questions or concerns, feel free to contact support, post here, or file a bug on our issue tracker:
https://cloud.google.com/bigquery/support
For more info about high-compute queries, see this SO answer:
https://stackoverflow.com/a/32638711/1375400
I'm making a financial app and I run into some problems with recurring money like fixed payment, salary, bank saving, ... I tried to add these payments on a certain day by comparing the current day and day of payments. The code is something like this:
If Date.Now.Day = GetPayDate(date) then
//code here //
It's in a start up event and it works but the problem is if users don't open the app on that day, the app will ignore and nothing will be added.
I'm using ADO.net with sql database. It's an app on local client without real time data.
In order to work correctly, users don't have to log on but the app must be run, so I tried to fix it by adding an auto start function on it. But it's not an option because users may not use computer for few days.
Is there any other way to resolve this problem? I just need some solutions or ideas about it, so even if users don't use the app in 2 or 3 months, it still calculate everything once they log on.
Sounds like you really need a windows service that runs on startup, or a scheduled task. A windows service is a type of C# / VB.Net application that's designed to run in the background, and has no UI. The Windows task scheduler can start a program on a regular basis.
For more info about windows services, see https://msdn.microsoft.com/en-us/library/zt39148a%28v=vs.110%29.aspx. For more information on scheduled tasks, see http://www.7tutorials.com/task-scheduler. For a discussion about which is better, see Which is better to use for a recurring job: Service or Scheduled Task?
Or you could compare the current date to >= the pay date if you don't mind paying a few days late.
I have a set of users in my system. Many of which are young users with regards to the age of their account.
I have then looked at a users event per day over the life time of the account (ie the event can occur on the 2nd day of their account existing then again on the 10th and so on all the way up to the life time of their account.)
What I am trying to do is look at the average occurrence of this event on a daily basis over all accounts, but need to take into consideration that I actually have many more young users (ie users which have not been around a long time).
I have tried a couple of statistical tricks, but am not 100% sure the best method to go about doing this.
Any point in the right direction would help.