I have client records that may have related-records indicating they attended a conference. I want to tag client records that have not attended a conference in the last 3 years. They may have conference records prior to 3 years past, but will have none onward from that.
I'm asking Netsuite to search from 3 years ago, and return client records where conference records do not exist.
My question is, how can I get NetSuite to work with a system date range, today-3 years and out into the future, in a saved search?
The first criteria is, for example, 'conference record ID is NULL.'
The date criteria something like, 'after today -1095 days.'
I got this to work by adding a 'Formula (Date)' filter as a criteria in the saved search. Then, in the description, 'after 3 years ago (relative), and the field typed-in as {today}. This worked to filter the other criteria within the date range.
Related
I'm pretty new in Tableau. I have looked at the forum already and the answered suggested. But I'm not quite sure it match my question.
I have a bunch of records. This is about registration for a sport lesson depending on time. All of them have a start date and and some of them a finish date. The other never finish (They continue until date T with T = now).
My goal is to compare only the first 6 months of all my records, I think there are 50 of them, like the evolution during this period of time. So, for some the start date would be in January 2009, for some other, it would be in May 2016, etc.
As field provided, I have the start date and the number of person that have subscribed those lesson through time.
So, do you if there is any to achieve this goal? Is there enough detail for you to understand what I am saying ?
Thx to you guys !!
EDIT
You can find enclosed a screenshot of the result that I already have.
number of registration for all lesson through time
I'm not sure to be clear, what I try to do is to compare the first 6 months only of each courses. So the evolution of the first 6 months of this course compare to the evolution of the first 6 months of this other course and so on :)
If I understand your question correctly you are wanting to show only the first six months of your data but you want this by each category.
I am assumuming that by definition this means 6 months from the first record in your data for each category.
In order to achieve this I would create a true/false flag using a level of detail expression. As you are new to tableau I would suggest you do some reading on this but basically you can force a calculation to be at a certain level of the data rather than at the row level. You use this to find the minimum date in the table and then use a date diff to return true if the actual date field is within 6 months of this.
Create a calculated field as follows:
[date] <= DATEADD('month', 6, { FIXED [category] :min([date])})
Then drag this onto your filters pane and select "TRUE". This should give you only the first six months of records for each category.
Let me know if you need anything else.
I don't understand the optimizations described here https://jira.mongodb.org/browse/SERVER-1752
To let you know what I'm trying to do, I have a website with a bunch of articles. I want to know how many views an article has gotten in the last 24 hours, week, month, or year. I was thinking of just having a views collection where each time an article is viewed, an entry is added to the collection. Each entry would have an articleID and timestamp. To see how many views an article has gotten over the last month, I would just count the number of view entries for that article that have a timestamp after one month ago.
If I had a compound index on [articleID, timestamp], could I do this count in O(1)?
In my SSDT report I have a field coming from a database called modified date. I want in my table in my report to only display records where the modified date is more than 7 days old, so in another way if a record hasn't been modified in 7 days then show the record.
I've looked at the Filter properties of the table but can't figure out the exact way of achieving what I want
Does anyone have any suggestions/examples?
My actual documents are more complex than this but simplifying them like so will explain the problem I want to solve. I have daily and weekly documents.
Daily Document: ObjectId, Type, Count, Date
Weekly Documents: ObjectId, Type, Count, StartDate, EndDate
If I wanted a daily report I can run a query that will select documents with Date field value between range X to Y and Type equal to 'daily'. I can do the same thing for Weekly reports and it all works.
The problem:
For weekly reports if the start date is not the first day of the week and the end date is not exactly the last day of the week, selecting documents with Type 'weekly' will produce inaccurate reports since weekly documents store the data for the entire week. This may seem strange but Google Analytics lets you do it:
In the above screenshot Jul 3rd isn't the beginning of that week, nor is Jul 17th the end of that week. But Google Analytics lets you see the data as you want.
Possible Solution:
One possible solution is to produce a daily report for the overflowing days and subtract it from the weekly report.
The question:
Is there a nicer solution to solving the problem I described? I'm open to redesigning the documents
For weekly reports if the start date is not the first day of the week
and the end date is not exactly the last day of the week, selecting
documents with Type 'weekly' will produce inaccurate reports since
weekly documents store the data for the entire week. This may seem
strange but Google Analytics lets you do it:
Because they don't store documents like that.
The way this works (I reckon) is that Google just summerises the daily documents and ignores your "week" range and applies their own range of saying:
get as many full weeks as possible and aggregate the daily documents that
come under that range
and then:
Just throw the others ontop making each the end and start point
I wouldn't try to mix week and daily documents here I would just query over daily documents only and aggregate client side.
In my application I have to store data month wise and year wise. So for this, I have to store the data along with date into database.
My requirement is how to store in terms of date and how to retrieve data with group by month and year. In my app I am showing a table of years and months, based on selected month and year. I have to show the data in a dashboard.
My problem is in storing and retrieving date data types.
Use the following syntax
SELECT * FROM DATABASE WHERE REQUIREDDATEFIELD LIKE '%2011-01%';
2011 is supposed to be the year
01 is supposed to be the month
DATABASE is supposed to be your mysql database name
REQUIREDDATEFIELD is supposed to be the field you are hoping to sort from month and year.
like '%2011-01%' is supposed to be meaning, all the records containing 2011-01 in the given field. It could be in the beginning or the end or in the middle of a large text, so having % in both the beginning and end of the search criteria is a good habit.
You just select either for a specific month or year or month and year. Or if you want all, you use GROUP BY.
I know this answer is quite vague and generic, but that's because your question is vague. You probably need to be more specific. Explain not only what you want to do, but what you have tried, and in which way that didn't work.