There are 2 tables. Table with reports and phrases (search phrases). The report table has a date field and other results (not important). When writing a sql query, connect a table with phrases and take the name and frequency from it, then the fields should be built according to the dates that are in the reports (distinct). How to do this ?
All I was able to do is the usual JOIN, but what to do with the dates I don't know:
SELECT
reports.url,
reports.position,
phrases.name,
phrases.counter
FROM reports JOIN phrases ON reports.phrase_id = phrases.id
AND reports.site_id = 98
The idea of the sample should be more distinct, but as it is there insert ?
SELECT DISTINCT report_date FROM reports WHERE site_id=98
The idea is to get something:
phrase | counter | 07.06.2019 | 09.06.2019 | 10.06.2019
buy.. 100 90 1 89
sell... 50 12 3 19
The numbers below the dates are reports.position.
(yandex translate on russian)
Related
I have two tables as below:
goods_in:
in_id|pid|in_num|in_date
1 1001 10 2020-06-28
2 1002 20 2020-06-28
3 1001 20 2020-05-25
......
stock:
stock_id|pid|num|price
1 1001 10 5
2 1002 15 6
3 1003 20 7
...
The "goods_in" table stores the records that all goods come into warehouse, the pid in this table is the same as in table "stock" which is the product ref code. There will be multiple records for each product in "goods_in" table.
The "stock" table stores all the SKU we are holding and the current stock level as well as the product cost.
What I'm trying to do is:
Group by pid AND date (Year+Month) from "goods_in" so I get sub-total number of goods booked-in in each month.
Multiple sub-total with stock.price.
Get total amount of above, something like SUMPRODUCT in excel.
Exports to html table or excel.
I've tried several answers from SO with GROUP BY/ROLLUP/JOIN, and apparently I haven't made it right as expected. I can make this simple if I just add a cost column to the "goods_in" table but that would make it untidy.
I'm still on my learning curves with MYSQL, forgive me if this looks simple to you guys.
Thanks.
Ken
Hard to know for sure what you want, but it sounds something like this:
select
pid,
year(in_date) as year,
month(in_date) as month,
sum(goods_in.in_num * stock.price)
from goods_in
join stock using (pid)
group by pid, year, month
For exporting to html or excel, you are best off asking a separate question.
I want to create a query to get the total number of produced products for each day in Microsoft Access.
Here are the few rows of my table as a sample:the table's name is Orders
ordernumber number of products Date
100 2 11-May-16
101 1 11-May-16
121 2 24-May-16
122 3 24-May-16
131 1 25-May-16
105 3 11-May-16
127 1 24-May-16
135 2 25-May-16
The desired output is :
TotalNoProducts Date
6 11-May-16
6 24-May-16
3 25-May-16
This is one of the more basic aggregate queries:
SELECT SUM([number of products]) As TotalNoProducts, CDate(Int([Date])) As TheDate
FROM Orders
GROUP BY CDate(Int([Date]))
Note that you can also build this query through the query builder, which is usually easier for beginners than using SQL
I've a SSRS report which should look like below,
--------------------------------
Year Product Total customers
--------------------------------
2015 prd1 100
prd2 50
prd3 60
2014 prd1 80
prd2 60
prd3 60
Varience
Prd1 20
Prd2 -10
Prd3 0
I've done the year wise grouping and the data mapping. But I'm not sure how to add variance(between 2015-2014) in each row based on the each product of the year
Update:
My dataset looks like this
Year CategoryId CategoryDesc TotalCustomerCount
2013 Prd1 Testproduct 100
2013 Prd2 Testprod2 50
2013 Prd3 Tesrprod3 45
2014 Prd1 Testproduct 80
2014 Prd2 Testprod2 60
You can see that some products may miss out in a year.
Note: The dataset is created from a Dimesional cube and not from SQL queries.
It is kind of hard to tell exactly without knowing what your current dataset looks like.
But I believe that Stanislovas' example will be of little use to you because his example only works if your dataset has a single row for each product, with columns with the total for each year. Which I'm guessing you do not have because you used row grouping to get the above result. If you did, you could've used column-grouping instead of row-grouping to get a better overview.
You have two possibilities:
Replace your current dataset completely with a dataset that has columns for each year value (like in Stanislovas' example). To achieve this kind of dataset you need your query to look like this for example:
SELECT DISTINCT(myTable.Product), t1.Total AS 'Total2014', t2.Total AS 'Total2015'
FROM myTable
JOIN (SELECT Product, SUM(Total) AS Total
FROM myTable
WHERE Year = 2014
GROUP BY Product) as t1 ON t1.Product = myTable.Product
JOIN (SELECT Product, SUM(Total) AS Total
FROM myTable
WHERE Year = 2015
GROUP BY Product) as t2 ON t2.Product = myTabel.Product
This can then be used to make a table that looks like this:
---------------------------------------
| Product | 2014 | 2015 | Variance |
---------------------------------------
| prd1 | 100 | 80 | 20 |
| prd2 | 50 | 60 | -10 |
| prd3 | 60 | 60 | 0 |
...
Or you can add a second datasource that has calculated these differences before sending it to the reporter. Here is an example to help you with your query: https://stackoverflow.com/a/15002915/4579864
If you need any more help, just leave a comment and I'll try and explain furthur. This should at least get you started.
I think the easiest way to handle this requeriment is generating the data from the query using T-SQL. However the output you require can be produced from SSRS using a dataset with the same structure as the dataset you provided in the update.
In order to recreate your scenario I used this dataset.
Year Product CategoryDesc TotalCustomerCount
2013 Prd1 Testproduct 100
2013 Prd2 Testprod2 50
2013 Prd3 Tesrprod3 45
2014 Prd1 Testproduct 80
2014 Prd2 Testprod2 60
My approach is take the minimum and maximum year values (2013 and 2014) and the product in every row and look up the TotalCustomerCount to substract it. This is a step by step guide.
First, create a calculated field in your dataset. Right click the dataset in Report Data pane, call it Year_Product and set this expression in the field source textbox.
=Fields!Year.Value & "-" & Fields!Product.Value
This will produce an additional field called Year_Product which has Year and Product fields concatenated with the - character in middle. In example: 2013-Prd1, 2014-Prd1, 2013-Prd3 etc.
Now create a tablix with this data arrangement:
In the cell highlighted in red use this expression:
=Lookup(Max(Fields!Year.Value,"DataSet13") & "-" &
Fields!Product.Value,Fields!Year_Product.Value,Fields!TotalCustomerCount.Value,"DataSet13")
-
Lookup(Min(Fields!Year.Value,"DataSet13") & "-" &
Fields!Product.Value,Fields!Year_Product.Value,Fields!TotalCustomerCount.Value,"DataSet13")
This will look up the max year and product of the row in the Year_Product field and get the TotalCustomerCount.
Year_Product: 2014-Prd1 and TotalCustomerCount: 80
Year_Product: 2013-Prd1 and TotalCustomerCount 100
The above example produces -20 since 80 - 100 = -20
It will show us repeated products because every product may be present two times. To avoid this it is necessary to sort the tablix by Product, go to tablix properties and set the below sorting option.
Now hide duplicated rows. Go to tablix properties / Row visibility and select Show or hide based on an expression.
Use this expression ton conditionally hide the duplicated products:
=IIF(
Fields!Product.Value=PREVIOUS(Fields!Product.Value),
true,
false
)
Finally if you preview the report you will see something like this (I recreated your both tables.)
Note I am using only one dataset, the same that you provide in your
question.
Hopefully this what you are looking for let me know if you need further help.
We have a database for patients that shows the details of their various visits to our office, such as their weight during that visit. I want to generate a report that returns the visit (a row from the table) based on the difference between the date of that visit and the patient's first visit being the largest value possible but not exceeding X number of days.
That's confusing, so let me try an example. Let's say I have the following table called patient_visits:
visit_id | created | patient_id | weight
---------+---------------------+------------+-------
1 | 2006-08-08 09:00:05 | 10 | 180
2 | 2006-08-15 09:01:03 | 10 | 178
3 | 2006-08-22 09:05:43 | 10 | 177
4 | 2006-08-29 08:54:38 | 10 | 176
5 | 2006-09-05 08:57:41 | 10 | 174
6 | 2006-09-12 09:02:15 | 10 | 173
In my query, if I were wanting to run this report for "30 days", I would want to return the row where visit_id = 5, because it's 28 days into the future, and the next row is 35 days into the future, which is too much.
I've tried a variety of things, such as joining the table to itself, or creating a subquery in the WHERE clause to try to return the max value of created WHERE it is equal to or less than created + 30 days, but I seem to be at a loss at this point. As a last resort, I can just pull all of the data into a PHP array and build some logic there, but I'd really rather not.
The bigger picture is this: The database has about 5,000 patients, each with any number of office visits. I want to build the report to tell me what the average wait loss has been for all patients combined when going from their first visit to X days out (that is, X days from each individual patient's first visit, not an arbitrary X-day period). I'm hoping that if I can get the above resolved, I'll be able to work the rest out.
You can get the date of the first and next visit using query like this (Note that this doesn't has correct syntax for date comparing and it is just an schema of the query):
select
first_visits.patient_id,
first_visits.date first_date,
max(next_visit.created) next_date
from (
select patient_id, min(created) as "date"
from patient_visits
group by patient_id
) as first_visits
inner join patient_visits next_visit
on (next_visit.patient_id = first_visits.patient_id
and next_visit.created between first_visits.created and first_visits.created + 30 days)
group by first_visits.patient_id, first_visits.date
So basically you need to find start date using grouping by patient_id and then join patient_visits and find max date that is within the 30 days window.
Then you can join the result to patient_visits to get start and end weights and calculate the loss.
I have a table which is like a questionnaire type ..
My original table contains 450 columns and 212 rows.
Slno is the person's id who answer the questionaire .
SlNo Q1a Q1b Q2a Q2b Q2c Q2d Q2e Q2f .... Q37c <450 columns>
1 1
2 1 1
3 1
4 1 1
5 1
I have to do analysis for this data , eg Number of persons who is male (Q1a) and who owns a boat (Q2b) i.e ( select * from Questionnaire where Q1a=1 and Q2b=1 ).. etc .. many more combinations are there ..
I have designed in MS access all the design worked perfectly except for a major problem ( Number of table columns is restricted to 255 ).
To be able to enter this into access table i have inserted in as 450 rows and 212 columns (now am able to enter this into access db). Now while fetching the records i want the record set to transpose the results into the form that i wanted so that i do not have to change my algorithm or logic .... How to achieve this with the minimum changes ? This is my first time working with Access Database
You might be able to use a crosstab query to generate what you are expecting. You could also build a transpose function.
Either way, I think you'll stil run into the 255 column limit and MS Access is using temporary table, etc.
However, I think you'll have far less work and better results if you change the structure of your table.
I assume that this like a fill-in-the-bubble questionnaire, and it's mostly multiple choice. In which case instead of recording the result, I would record the answer for the question
SlNo Q1 Q2
1 B
2 B
3 A
4 A C
5 A
Then you have far fewer columns to work with. And you query for where Q1='A' instead of Q1a=1.
The alternative is break the table up into sections (personal, career, etc.) and then do a join, and only show the column you need (so as not to exceed that 255 column limit).
An way to do this that handles more questions is have a table for the person, a table for the question, and a table for the response
Person
SlNo PostalCode
1 90210
2 H0H 0H0
3
Questions
QID, QTitle, QDesc
1 Q1a Gender Male
2 Q1b Gender Female
3 Q2a Boat
4 Q2b Car
Answers
SlNo QID Result
1 2 True
1 3 True
1 4 True
2 1 True
2 3 False
2 4 True
You can then find the question takers by selecting Persons from a list of Answers
select * from Person
where SlNo in (
select SlNo from Answers, Questions
where
questions.qid = answers=qid
and
qtitle = 'Q1a'
and
answers.result='True')
and SlNo in (
select SlNo from Answers, Questions
where
questions.qid = answers=qid
and
qtitle = 'Q2a'
and
answers.result='True')
I finally got the solutions
I created two table one having 225 columns and the other having 225 column
(total 450 columns)
I created a SQL statement
select count(*) from T1,T2 WHERE T1.SlNo=T2.SlNo
and added the conditions what i want
It is coming correct after this ..
The database was entered wrongly by the other staff in the beginning but just to throw away one week of work was not good , so had to stick to this design ... and the deadly is next week .. now it's working :) :)