Here is my sample schema and data (http://sqlfiddle.com/#!3/0d8b7/3/0):
CREATE TABLE cpv
(
ClientId INT,
CodeName VARCHAR(20),
Value VARCHAR(30),
LastModified DATETIME
);
INSERT INTO cpv (ClientId,CodeName,Value,LastModified)
VALUES
(1000, 'PropA', 'A', '2014-05-15 17:02:00'),
(1000, 'PropB', 'B', '2014-05-15 17:01:00'),
(1000, 'PropC', 'C', '2014-05-15 17:01:00'),
(2000, 'PropA', 'D', '2014-05-15 17:02:00'),
(2000, 'PropB', 'E', '2014-05-15 17:05:00');
I need to reshape it into:
ClientId PropA PropB PropC LastModified
1000 A B C '2014-05-15 17:02:00'
2000 D E NULL '2014-05-15 17:05:00'
There are Two operations involved here:
aggregation of the LastModified - taking the Max within the same ClientId
pivoting the CodeName column
I have no idea how to combine them.
This SQL Fiddle demonstrates pivoting the CodeName column:
SELECT PropA,PropB,PropC
FROM (
SELECT CodeName,Value FROM cpv
) src
PIVOT (
MAX(Value)
FOR CodeName IN (PropA,PropB,PropC)
) p
But it does not group by ClientId and neither takes the Maximum of the LastModified.
This SQL Fiddle demonstrates grouping by the ClientId and aggregating LastModified:
SELECT ClientId,MAX(LastModified) LastModified
FROM cpv
GROUP BY ClientId
But it totally ignores the Name and Value columns.
How can I group by ClientId, aggregate by taking the Maximum LastModified within the group and also pivot the CodeName column, again within each group?
EDIT
The answer is available here.
Try this:
;with cte as
(SELECT ClientID,PropA,PropB,PropC
FROM (
SELECT ClientID, CodeName,Value FROM cpv
) src
PIVOT (
MAX(Value)
FOR CodeName IN (PropA,PropB,PropC)
) p)
SELECT DISTINCT cte.ClientID, PropA, PropB, PropC, MAX(LastModified) OVER(PARTITION BY cte.clientid ORDER BY cte.clientid) MaxLastModified FROM cte
INNER JOIN cpv ON cte.clientid = cpv.clientid
Demo here.
Related
I have the below records in my table,
If the HoleNumber combination is not having 'A' and 'B' for the particular datetime, we need to remove the alphabets from the number.
i.e., Remove 'A' from third record and sixth record. Because, it doesn't have B combinations for that datetime.
delete from myTable
where id in
(
select id from myTable t1
inner join
(
select [date], left([holeNumber], len(holeNumber)-1) as hNumber
from myTable
group by [date], left([holeNumber], len(holeNumber)-1)
having count(holeNumber) = 1
) tmp
on t1.[date] = tmp.[date] and left(t1.holeNumber, len(holeNumber)-1) = tmp.hNumber);
would do it, provided your requirements are strictly to remove having only 1 type of holeNumber.
DBFiddle demo
I have JSON data in a column in my table. I am trying to apply where condition on the JSON column and fetch records.
Employee table:
Here is my SQL query:
SELECT ID, EMP_NAME
FROM EMPLOYEE
WHERE JSON_VALUE(TEAM, '$') IN (2, 3, 4, 5, 7, 10)
I am getting an empty result when I use this query. Any help on how to do this?
You need to parse the JSON in the TEAM column with OPENJSON():
Table:
CREATE TABLE EMPLOYEE (
ID int,
EMP_NAME varchar(50),
TEAM varchar(1000)
)
INSERT INTO EMPLOYEE (ID, EMP_NAME, TEAM)
VALUES
(1, 'Name1', '[2,11]'),
(2, 'Name2', '[2,3,4,5,7,10]'),
(3, 'Name3', NULL)
Statement:
SELECT DISTINCT e.ID, e.EMP_NAME
FROM EMPLOYEE e
CROSS APPLY OPENJSON(e.TEAM) WITH (TEAM int '$') j
WHERE j.TEAM IN (2,3,4,5,7,10)
Result:
ID EMP_NAME
1 Name1
2 Name2
As an additional option, if you want to get the matches as an aggregated text, you may use the following statement (SQL Server 2017 is needed):
SELECT e.ID, e.EMP_NAME, a.TEAM
FROM EMPLOYEE e
CROSS APPLY (
SELECT STRING_AGG(TEAM, ',') AS TEAM
FROM OPENJSON(e.TEAM) WITH (TEAM int '$')
WHERE TEAM IN (2,3,4,5,7,10)
) a
WHERE a.TEAM IS NOT NULL
Result:
ID EMP_NAME TEAM
1 Name1 2
2 Name2 2,3,4,5,7,10
JSON_VALUE returns a scalar value, not a data set, which you appaer to think it would. If you run SELECT JSON_VALUE('[2,3,4,5,7,10]','$') you'll see that it returns NULL, so yes, no rows will be returned.
You need to treat the JSON like a data set, not a single value:
SELECT ID, EMP_NAME
FROM EMPLOYEE E
WHERE EXISTS (SELECT 1
FROM OPENJSON (E.TEAM) OJ
WHERE OJ.Value IN (2,3,4,5,7,10))
I am trying to order values that are going to be inserted into another table based on their order value from a secondary table. We are migrating old data to a new table with a slightly different structure.
I thought I would be able to accomplish this by using the string_split function but I'm not very skilled with SQL and so I am running into some issues.
Here is what I have:
UPDATE lse
SET Options = a.Options
FROM
dbo.LessonStepElement as lse
CROSS JOIN
(
SELECT
tbl1.*
tbl2.Options,
tbl2.QuestionId
FROM
dbo.TrainingQuestionAnswer as tbl1
JOIN (
SELECT
string_agg((CASE
WHEN tqa.CorrectAnswer = 1 THEN REPLACE(tqa.AnswerText, tqa.AnswerText, '*' + tqa.AnswerText)
ELSE tqa.AnswerText
END),
char(10)) as Options,
tq.Id as QuestionId
FROM
dbo.TrainingQuestionAnswer as tqa
INNER JOIN
dbo.TrainingQuestion as tq
on tq.Id = tqa.TrainingQuestionId
INNER JOIN
dbo.Training as t
on t.Id = tq.TrainingId
WHERE
t.IsDeleted = 0
and tq.IsDeleted = 0
and tqa.IsDeleted = 0
GROUP BY
tq.Id,
tqa.AnswerDisplayOrder
ORDER BY
(SELECT [Value] FROM STRING_SPLIT((SELECT AnswerDisplayOrder FROM dbo.TrainingQuestion WHERE Id = tmq.Id), ','))
) as tbl2
on tbl1.TrainingQuestionId = tbl2.QuestionId
) a
WHERE
a.TrainingQuestionId = lse.TrainingQuestionId
The AnswerDisplayOrder that I am using is just a nvarchar comma separated list of the ids for the answers to the question.
Here is an example:
I have 3 rows in the TrainingQuestionAnswer table that look like the following.
ID TrainingQuestionId AnswerText
-------------------------------------------
215 100 No
218 100 Yes
220 100 I'm not sure
I have 1 row in the TrainingQuestion table that looks like the following.
ID AnswerDisplayOrder
--------------------------
100 "218,215,220"
Now what I am trying to do is when I update the row in the new table with all of the answers combined, the answers will need to be in the correct order which is dependent on the AnswerDisplayOrder in the TrainingQuestion table. So in essence, the new table would have a row that would look similar to the following.
ID Options
--------------
193 "Yes No I'm not sure"
I'm aware that the way I'm trying to do it might not be even possible at all. I am still learning and would just love some advice or guidance on how to make this work. I also know that string_split does not guarantee order. I'm open to other suggestions that do guarantee the order as well.
I simplified the issue in the question to the following approach, that is a possible solution to your problem. If you want to get the results from the question, you need a splitter, that returns the substrings and the positions of the substrings. STRING_SPLIT() is available from SQL Server 2016, but is not an option here, because (as is mentioned in the documentation) the output rows might be in any order and the order is not guaranteed to match the order of the substrings in the input string.
But you may try to use a JSON based approach, with a small string manipulation, that transforms answers IDs into a valid JSON array (218,215,220 into [218,215,220]). After that you can easily parse this JSON array with OPENJSON() and default schema. The result is a table, with columns key, value and type and the key column (again from the documentation) holds the index of the element in the specified array.
Tables:
CREATE TABLE TrainingQuestionId (
ID int,
TrainingQuestionId int,
AnswerText varchar(1000)
)
INSERT INTO TrainingQuestionId
(ID, TrainingQuestionId, AnswerText)
VALUES
(215, 100, 'No'),
(218, 100, 'Yes'),
(220, 100, 'I''m not sure')
CREATE TABLE TrainingQuestion (
ID int,
AnswerDisplayOrder varchar(1000)
)
INSERT INTO TrainingQuestion
(ID, AnswerDisplayOrder)
VALUES
(100, '218,215,220')
Statement:
SELECT tq.ID, oa.Options
FROM TrainingQuestion tq
OUTER APPLY (
SELECT STRING_AGG(tqi.AnswerText, ' ') WITHIN GROUP (ORDER BY CONVERT(int, j.[key])) AS Options
FROM OPENJSON(CONCAT('[', tq.AnswerDisplayOrder, ']')) j
LEFT JOIN TrainingQuestionId tqi ON TRY_CONVERT(int, j.[value]) = tqi.ID
) oa
Result:
ID Options
100 Yes No I'm not sure
Notes: You need SQL Server 2017+ to use STRING_AGG(). For SQL Server 2016 you need a FOR XML to aggregate strings.
declare #TrainingQuestionAnswer table
(
ID int,
TrainingQuestionId int,
AnswerText varchar(20)
);
insert into #TrainingQuestionAnswer(ID, TrainingQuestionId, AnswerText)
values(215, 100, 'No'), (218, 100, 'Yes'), (220, 100, 'I''m not sure');
declare #TrainingQuestiontest table
(
testid int identity,
QuestionId int,
AnswerDisplayOrder varchar(200)
);
insert into #TrainingQuestiontest(QuestionId, AnswerDisplayOrder)
values(100, '218,215,220'), (100, '220,218,215'), (100, '215,218');
select *,
(
select string_agg(pci.AnswerText, '==') WITHIN GROUP ( ORDER BY pci.pos)
from
(
select a.AnswerText,
pos = charindex(concat(',', a.ID, ','), concat(',', q.AnswerDisplayOrder,','))
from #TrainingQuestionAnswer as a
where a.TrainingQuestionId = q.QuestionId
and charindex(concat(',', a.ID, ','), concat(',', q.AnswerDisplayOrder,',')) >= 1
) as pci
) as TestAnswerText
from #TrainingQuestiontest as q;
*Updated - Please see below(Past the picture)
I am really stuck with this particular problem, I have two tables, Projects and Project Allocations, they are joined by the Project ID.
My goal is to populate a modified projects table's columns using the rows of the project allocations table. I've included an image below to illustrate what I'm trying to achieve.
A project can have up to 6 Project Allocations. Each Project Allocation has an Auto increment ID (Allocation ID) but I can't use this ID in a sub-selects because it isn't in a range of 1-6 so I can distinguish between who is the first PA2 and who is PA3.
Example:
(SELECT pa1.name FROM table where project.projectid = project_allocations.projectid and JVID = '1') as [PA1 Name],
(SELECT pa2.name FROM table where project.projectid = project_allocations.projectid and JVID = '1') as [PA2 Name],
The modified Projects table has columns for PA1, PA2, PA3. I need to populate these columns based on the project allocations table. So the first record in the database FOR EACH project will be PA1.
I've put together an SQL Agent job that drops and re-creates this table with the added columns so this is more about writing the project allocation row's into the modified projects table by row_num?
Any advice?
--Update
What I need to do now is to get the row_number added as a column for EACH project in order of DESC.
So the first row for each project ID will be 1 and for each row after that will be 2,3,4,5,6.
I've found the following code on this website:
use db_name
with cte as
(
select *
, new_row_id=ROW_NUMBER() OVER (ORDER BY eraprojectid desc)
from era_project_allocations_m
where era_project_allocations_m.eraprojectid = era_project_allocations_m.eraprojectid
)
update cte
set row_id = new_row_id
update cte
set row_id = new_row_id
I've added row_id as a column in the previous SQL Agent step and this code and it runs but it doesn't produce me a row_number FOR EACH projectid.
As you can see from the above image; I need to have 1-2 FOR Each project ID - effectively giving me thousands of 1s, 2s, 3s, 4s.
That way I can sort them into columns :)
From what I can tell a query using row number is what you are after. (Also, it might be a pivot table..)
Example:
create table Something (
someId int,
someValue varchar(255)
);
insert into Something values (1, 'one'), (1, 'two'), (1, 'three'), (1, 'four'), (2, 'ein'), (2, 'swei'), (3, 'un')
with cte as (
select someId,
someValue,
row_number() over(partition by someId order by someId) as rn
from Something
)
select distinct someId,
(select someValue from cte where ct.someId = someId and rn = 1) as value1,
(select someValue from cte where ct.someId = someId and rn = 2) as value2,
(select someValue from cte where ct.someId = someId and rn = 3) as value3,
(select someValue from cte where ct.someId = someId and rn = 4) as value4
into somethingElse
from cte ct;
select * from somethingElse;
Result:
someId value1 value2 value3 value4
1 one two three four
2 ein swei NULL NULL
3 un NULL NULL NULL
I am trying to calculate the, say, 3 day moving average (in reality 30 day) volume for stocks.
I'm trying to get the average of the last 3 date entries (rather than today-3 days). I've been trying to do something with rownumber in SQL server 2012 but with no success. Can anyone help out. Below is a template schema, and my rubbish attempt at SQL. I have various incarnations of the below SQL with the group by's but still not working. Many thanks!
select dt_eod, ticker, volume
from
(
select dt_eod, ticker, avg(volume)
row_number() over(partition by dt_eod order by max_close desc) rn
from mytable
) src
where rn >= 1 and rn <= 3
order by dt_eod
Sample Schema:
CREATE TABLE yourtable
([dt_date] int, [ticker] varchar(1), [volume] int);
INSERT INTO yourtable
([dt_date], [ticker], [volume])
VALUES
(20121201, 'A', 5),
(20121201, 'B', 7),
(20121201, 'C', 6),
(20121202, 'A', 10),
(20121202, 'B', 8),
(20121202, 'C', 7),
(20121203, 'A', 10),
(20121203, 'B', 87),
(20121203, 'C', 74),
(20121204, 'A', 10),
(20121204, 'B', 86),
(20121204, 'C', 67),
(20121205, 'A', 100),
(20121205, 'B', 84),
(20121205, 'C', 70),
(20121206, 'A', 258),
(20121206, 'B', 864),
(20121206, 'C', 740);
Three day average for each row:
with top3Values as
(
select t.ticker, t.dt_date, top3.volume
from yourtable t
outer apply
(
select top 3 top3.volume
from yourtable top3
where t.ticker = top3.ticker
and t.dt_date >= top3.dt_date
order by top3.dt_date desc
) top3
)
select ticker, dt_date, ThreeDayVolume = avg(volume)
from top3Values
group by ticker, dt_date
order by ticker, dt_date
SQL Fiddle demo.
Latest value:
with tickers as
(
select distinct ticker from yourtable
), top3Values as
(
select t.ticker, top3.volume
from tickers t
outer apply
(
select top 3 top3.volume
from yourtable top3
where t.ticker = top3.ticker
order by dt_date desc
) top3
)
select ticker, ThreeDayVolume = avg(volume)
from top3Values
group by ticker
order by ticker
SQL Fiddle demo.
Realistically you wouldn't need to create the tickers CTE for the second query, as you'd be basing this on a [ticker] table, and you'd probably have some sort of date parameter in the query, but hopefully this will get you on the right track.
You mentioned SQL 2012, which means that you can leverage a much simpler paradigm.
select dt_date, ticker, avg(1.0*volume) over (
partition by ticker
order by dt_date
ROWS BETWEEN 2 preceding and current row
)
from yourtable
I find this much more transparent as to what is actually trying to be accomplished.
You may want to look at yet another technique that is presented here: SQL-Server Moving Averages set-based algorithm with flexible window-periods and no self-joins.
The algorithm is quite speedy (much faster than APPLY and does not degrade in performance like APPLY does as data-points-window expands), easily adaptable to your requirement, works with pre-SQL2012, and overcomes the limitations of SQL-2012's windowing functionality that requires hard-coding of window-width in the OVER/PARTITION-BY clause.
For a stock-market type application with moving price-averages, it is a common requirement to allow a user to vary the number of data-points included in the average (from a UI selection, like allowing a user to choose 7 day, 30 day, 60 day, etc), and SQL-2012's OVER clause cannot handle this variable partition-width requirement without dynamic SQL.