I have a table "holidays" which represents people's holidays. It contains a FK to a person table, a from date column and a to date column. I want to add a constraint so that no person can have an over lapping holiday with themselves. So if Billy has a skiing holiday from 15th Jan - 20thJan, he can't have another vacation on the 18th Jan? But it's fine for him to do it on the 21st Jan?
Is this possible to do at database level via a constraint?
DB2 or Oracle can suffice?
Thanks
In DB2 you could use Temporal Tables and Time Travel Queries - check out the doumentation
Using Business Time with Business Period Temporal Tables will allow to define an index which enforces that periods do not overlap
CREATE UNIQUE INDEX I_vacation ON vacation (person, BUSINESS_TIME WITHOUT OVERLAPS)
Not directly. Constraints (at least in Oracle, I can't speak for other databases) work on one row at a time, they don't look at other rows - EXCEPT the UNIQUE constraint which looks across rows.
So - two solutions. One is, instead of storing ranges, to store one row per holiday DAY. (By the way, I believe what you call "holiday" is called "vacation", at least in America; "holiday" is reserved for common holidays, the same for all people, such as New Year or Christmas, etc.) In this arrangement, add a UNIQUE constraint on (person_id, vacation_day). Then re-work your input and reporting apps to translate from ranges to individual days, and respectively from individual days back to ranges.
The other solution, if you must store ranges, is to create a materialized view with refresh on commit (preferably fast refresh if the conditions permit), which shows person_id and vacation_day, one row per day - and put a UNIQUE constraint on the materialized view.
You can create a stored procedure wich take datestart and dateend of current row and use them parameter of this procedure. This procedure return 1 if exist in table a bad range and otherwise 0. Then you create your constraint check when this result procedure =0
Related
I have a table where I have these fields:
id(primary key, auto increment)
car registration number
car model
garage id
and 31 fields for each day of the mont for each row.
In these fields I have char of 1 or 2 characters representing car status on that date. I need to make a query to get number of each possibility for that day, field of any day could have values: D, I, R, TA, RZ, BV and LR.
I need to count in each row, amount of each value in that row.
Like how many I , how many D and so on. And this for every row in table.
What best approach would be here? Also maybe there is better way then having field in database table for each day because it makes over 30 fields obviously.
There is a better way. You should structure the data so you have another table, with rows such as:
CarId
Date
Status
Then your query would simply be:
select status, count(*)
from CarStatuses
where date >= #month_start and date < month_end
group by status;
For your data model, this is much harder to deal with. You can do something like this:
select status, count(*)
from ((select status_01 as status
from t
) union all
(select status_02
from t
) union all
. . .
(select status_31
from t
)
) s
group by status;
You seem to have to start with most basic tutorials about relational databases and SQL design. Some classic works like "Martin Gruber - Understanding SQL" may help. Or others. ATM you miss the basics.
Few hints.
Documents that you print for user or receive from user do not represent your internal data structures. They are created/parsed for that very purpose machine-to-human interface. Inside your program should structure the data for easy of storing/processing.
You have to add a "dictionary table" for the statuses.
ID / abbreviation / human-readable description
You may have a "business rule" that from "R" status you can transition to either "D" status or to "BV" status, but not to any other. In other words you better draft the possible status transitions "directed graph". You would keep it in extra columns of that dictionary table or in one more specialized helper table. Dictionary of transitions for the dictionary of possible statuses.
Your paper blank combines in the same row both totals and per-day detailisation. That is easy for human to look upon, but for computer that in a sense violates single responsibility principle. Row should either be responsible for primary record or for derived total calculation. You better have two tables - one for primary day by day records and another for per-month total summing up.
Bonus point would be that when you would change values in the primary data table you may ask server to automatically recalculate the corresponding month totals. Read about SQL triggers.
Also your triggers may check if the new state properly transits from the previous day state, as described in the "business rules". They would also maybe have to check there is not gaps between day. If there is a record for "march 03" and there is inserted a new the record for "march 05" then a record for "march 04" should exists, or the server would prohibit adding such a row. Well, maybe not, that is dependent upon you business processes. The general idea is that server should reject storing any data that is not valid and server can know it.
you per-date and per-month tables should have proper UNIQUE CONSTRAINTs prohibiting entering duplicate rows. It also means the former should have DATE-type column and the latter should either have month and year INTEGER-type columns or have a DATE-type column with the day part in it always being "1" - you would want a CHECK CONSTRAINT for it.
If your company has some registry of cars (and probably it does, it is not looking like those car were driven in by random one-time customers driving by) you have to introduce a dictionary table of cars. Integer ID (PK), registration plate, engine factory number, vagon factory number, colour and whatever else.
The per-month totals table would not have many columns per every status. It would instead have a special row for every status! The structure would probably be like that: Month / Year / ID of car in the registry / ID of status in the dictionary / count. All columns would be integer type (some may be SmallInt or BigInt, but that is minor nuancing). All the columns together (without count column) should constitute a UNIQUE CONSTRAINT or even better a "compound" Primary Key. Adding a special dedicated PK column here in the totaling table seems redundant to me.
Consequently, your per-day and per-month tables would not have literal (textual and immediate) data for status and car id. Instead they would have integer IDs referencing proper records in the corresponding cars dictionary and status dictionary tables. That you would code as FOREIGN KEY.
Remember the rule of thumb: it is easy to add/delete a row to any table but quite hard to add/delete a column.
With design like yours, column-oriented, what would happen if next year the boss would introduce some more statuses? you would have to redesign the table, the program in many points and so on.
With the rows-oriented design you would just have to add one row in the statuses dictionary and maybe few rows to transition rules dictionary, and the rest works without any change.
That way you would not
I'm trying to make a attendance management system for my college project.
I'm planning to createaone table for each month.
Each table will have
OCT(Roll_no int ,Name varchar, (dates...) bool)
Here dates will be from 1 to 30 and store boolean for present or absent.
Is this a good way to do it?
Is there a way to dynamically add a column for each day when the data was filled.
Also, how can I populate data according to current day.
Edit : I'm planning to make a UI which will have only two options (Present, absent) corresponding to each fetched roll no.
So, roll nos. and names are already going to be in the table. I'll just add status (present or absent) corresponding to each row in table for each date.
I would use Firebase. Make a node with a list of users. Then inside the uses make a attendance node with time-stamps for attended days. That way it's easier to parse. You also would leave room for the ability to bind data from other tables to users as well as the ability to add additional properties to each user.
Or do the SQL equivalent which would be make a table list of users (names and user properties) with associated keys (Primary keys in the user table with Foreign keys in the attendance table) that contained an attendance column that would hold an array of time-stamps representing attended days.
Either way, your UI would then only have to process timestamps and be able to parse through them with dates.
Though maybe add additional columns as years go so it wouldnt be so much of a bulk download.
Edit: In your case you'd want the SQL columns to be by month letting you select whichever month you'd like. For your UI, on injecting new attendance you'd simply add a column to the table if it does not already exist and then continue with the submission. On search/view you'd handle null results (say there were 2 months where no one attended at all. You'd catch any exceptions and continue with your display.)
Ex:
User
Primary Key - Name
1 - Joe
2 - Don
3 - Rob
Attendance
Foreign Key - Dates Array (Oct 2017)
1 - 1508198400, 1508284800, 1508371200
2 - 1508284800
3 - 1508198400, 1508371200
I'd agree with Gordon. This is not a good way to store the data. (It might be a good way to present it). If you have a table with the following columns, you will be able to store the data you want:
role_no (int)
Name (varchar)
Date (Date)
Present (bool)
If you want to then pull out the data for a particular month, you could just add this into your WHERE clause:
WHERE DATEPART(mm, [Date]) = 10 -- for October, or pass in a parameter
Dynamically adding columns is going to be a pain in the neck and is also quite messy
I have an order table in sql server and I need for the order number primary key to be like this
OR\20160202\01
OR is just a string
20160202 is the Date
01 is sequence number for that day
for second Order record the same day it would be
OR\20160202\02 and so on..
backlashes should also be included...
Whats the way to go about creating such a field in sql server (using version 2016)
EDIT: to add more context to what sequence number is, its just a way for this field composite or not to be unique. without a sequence number i would get duplicate records in DB because i could have many records the same day so date would remain the same thus it would be something like
OR\20160202 for all rows for that particular day so it would be duplicate. Adding a "sequence" number helps solve this.
The best way is to not create such a column in SQL. You're effectively combining multiple pieces of data into the same column, which shouldn't happen in a relational database for many reasons. A column should hold one piece of data.
Instead, create a composite primary key across all of the necessary columns.
composite pk
order varchar(20)
orDate DateTime
select *
, row_number() over (partition by cast(orDate as Date) order by orDate) as seq
from table
Will leave it to you on how to concatenate the data
That is presentation thing - don't make it a problem for the PK
About "sequence number for that day" (department, year, country, ...).
Almost every time I discussed such a requirement with end users it turned out to be just misunderstanding of how shared database works, a vague attempt to repeat old (separate databases, EXCEL files or even paper work) tricks on shared database.
So i second Tom H and others, first try not to do it.
If nevertheless you must do it, for legal or other unnegotiatable reasons then i hope you are on 2012+. Create SEQUENCE for every day.
Formatted PK is not a good idea.Composite key is a better approach.The combination of day as a date column and order number as a bigint column should be used.This helps in improving the query performance too.
You might want to explore 'Date Dimension' table. Date Dimension is commonly used table in data warehousing. It stores all the days of the calendar(based on your choice of years) and numeric generated keys for these days. Check this post on date dimension. It talks about creating one in SQL SERVER.
https://www.mssqltips.com/sqlservertip/4054/creating-a-date-dimension-or-calendar-table-in-sql-server/
I have a fact table that has 4 date columns CreatedDate, LoginDate, ActiveDate and EngagedDate. I have a dimension table called DimDate whose primary key can be used as foreign key for all the 4 date columns in fact table. So the model looks like this.
But the problem is, when I want to do sub-filtering for the measures based on the date column. For ex: Count all users who were created in the last month and are engaged in this month. This is not possible to do with this design, coz when I filter the measure with create date , I can’t further filter for a different time window for engaged date. Since all the connected to same dimension, they are not working independently.
However, If I create a separate date dimension table for each of the columns, and join them like this then it works.
But this looks very cumbersome when I have 20 different date columns in fact table in real world scenario, where I have to create 20 different dimensions and connect them one by one. Is there any other way I can achieve my scenario w/o creating multiple duplicated date dimensions?
This concept is called a role-playing dimension. You don't have to add the table to the DSV or the actual dimensions one time for each date. Instead add the date once, then go to the dimension usage tab. Click Add Cube Dimension, and then choose the date dim. Right-click and rename it. Then update the relationship to use the correct fields.
There's a good article on MSSQLTips.com that covers this topic.
I have these 2 tables and I need to create a relationship between them so that I can import them into SSAS Tabular and run some analysis.
The first table has RollingQuarter(Moving Quarter) data. The second is a basic Date table with Date as PK.
Can anyone suggest ways to create a relationship with these?
Ill be using SQL Server 2012.
I could re-create a new date table also.
I think you may have a rough time finding a relationship with these tables.
Your top data table is derived data. It's an average over three months, reported monthly. The Quantity column applies to that window, not to a particular date like all of the stuff in the second table. So what would any relationship really mean?
If you have the primary data that were used to calculate your moving average, then use those instead. Then you can relate dates between the two tables.
But if your analysis is such that you don't need the primary data for the top table, then just pick the middle of each quarter (March 15th 2001 for the first record) and use that as your independent variable for your time series on the top. Then you can relate them by that.