I have a simple table that looks as follows:
I'm executing the following query:
SELECT
DeviceId,
[UCL],
[LCL]
FROM dbo.BreweryTemperatureSetpoint
PIVOT
(
SUM(SetpointValue) FOR SetpointName IN ([UCL], [LCL])
) AS PVT
The output looks like this:
What I would like is a single row that looks like this:
Prototype1, 24, 21.75
There is something about Pivot I don't quite understand since I would have thought my query would produce the desired output, but it isn't.
Limit the fields in the "Source" to what is needed. XAxis, YAxis and Value
SELECT *
FROM (
Select DeviceId,SetpointValue,SetpointName
FROM dbo.BreweryTemperatureSetpoint
) A
PIVOT
(
SUM(SetpointValue) FOR SetpointName IN ([UCL], [LCL])
) AS PVT
Related
Okay so I currently have tables called ModTable, Slots, and I want to pass All of the values from the column [Modules] in ModTable to a LIKE. In effect, I need to search my Slots table, specifically the SlotValue column, for entries matching the entries in ModTable, which I have reformatted to be %//[Module]/%. I did it this way because the values in Slots.SlotValue that I want to pull follow the pattern of %//[Module]/%, but there are multiple modules in the column. My code looks like this:
(
SELECT [ObjectID]
FROM [Slots]
WHERE SlotValue LIKE
(
SELECT [Module]
FROM [ModTable]
)
)
ModTable:
Modules
%//XYZ/%
%//ABC/%
%//LMN/%
Want:
WHERE [Slots].[SlotValue] LIKE(%//XYZ/% OR %//ABC/% OR %//LMN/%)
SELECT [ObjectID]
FROM [Slots]
JOIN [ModTable] ON SlotValue LIKE ModTable.Module
This might give you more than one row with the same value -- so you can use a distinct if you want.
Use a correlated EXISTS:
SELECT [ObjectID]
FROM dbo.[Slots] S
WHERE EXISTS
(
SELECT 1
FROM dbo.[ModTable] MT
WHERE S.SlotValue LIKE MT.Module
);
I have a bunch of rows with values that look like below. It's json extract that I unfortunately have to parse out and load. Anyway, my json parsing tool for some reason doesn't want to parse this full column out so i need to do it in TSQL. I only need the unique_id field:
[{"unique_id":"12345","system_type":"Test System."}]
I tried the below SQL but it's only returning the first 5 characters of the whole column. I know what the issue is which is I need to know how to tell the substring to continue until the 4th set of quotes which comes after the value. I'm not sure how to code the substring like that.
select substring([jsonfield],CHARINDEX('[{"unique_id":"',[jsonfield]),
CHARINDEX('"',[jsonfield]) - CHARINDEX('[{"unique_id":"',[jsonfield]) +
LEN('"')) from etl.my_test_table
Can anyone help me with this?
Thank you, I appreciate it!
Since you tagged 2016, why not use OPENJSON()
Here's an example:
DECLARE #TestData TABLE
(
[SampleData] NVARCHAR(MAX)
);
INSERT INTO #TestData (
[SampleData]
)
VALUES ( N'[{"unique_id":"12345","system_type":"Test System."}]' )
,( N'[{"unique_id":"1234567","system_type":"Test System."},{"unique_id":"1234567_2","system_type":"Test System."}]' )
SELECT b.[unique_id]
FROM #TestData [a]
CROSS APPLY
OPENJSON([a].[SampleData], '$')
WITH (
[unique_id] NVARCHAR(100) '$.unique_id'
) AS [b];
Giving you:
unique_id
---------------
12345
1234567
1234567_2
You can get all the fields as well, just add them to the WITH clause:
SELECT [b].[unique_id]
, [b].[system_type]
FROM #TestData [a]
CROSS APPLY
OPENJSON([a].[SampleData], '$')
WITH (
[unique_id] NVARCHAR(100) '$.unique_id'
, [system_type] NVARCHAR(100) '$.system_type'
) AS [b];
Take it step by step
First get everything to the left of system_type
SELECT LEFT(jsonfield, CHARINDEX('","system_type":"',jsonfield) as s
FROM -- etc
Then take everything to the right of "unique_id":"
SELECT RIGHT(S, LEN(S) - (CHARINDEX('"unique_id":"',S) + 12)) as Result
FROM (
SELECT LEFT(jsonfield, CHARINDEX('","system_type":"',jsonfield) as s
FROM -- etc
) X
Note, I did not test this so it could be off by one or have a syntax error, but you get the idea.
If your larger string ist just a simple JSON as posted, the solution is very easy:
SELECT
JSON_VALUE(N'[{"unique_id":"12345","system_type":"Test System."}]','$[0].unique_id');
JSON_VALUE() needs SQL-Server 2016 and will extract one single value from a specified path.
Working on a new TSQL Stored Procedure, I am wanting to get all rows where values in a specific column don't start with any of a specific set of 2 character substrings.
The general idea is:
SELECT * FROM table WHERE value NOT LIKE 's1%' AND value NOT LIKE 's2%' AND value NOT LIKE 's3%'.
The catch is that I am trying to make it dynamic so that the specific substrings can be pulled from another table in the database, which can have more values added to it.
While I have never used the IN operator before, I think something along these lines should do what I am looking for, however, I don't think it is possible to use wildcards with IN, so I might not be able to compare just the substrings.
SELECT * FROM table WHERE value NOT IN (SELECT substrings FROM subTable)
To get around that limitation, I am trying to do something like this:
SELECT * FROM table WHERE SUBSTRING(value, 1, 2) NOT IN (SELECT Prefix FROM subTable WHERE Prefix IS NOT NULL)
but I'm not sure this is right, or if it is the most efficient way to do this. My preference is to do this in a Stored Procedure, but if that isn't feasible or efficient I'm also open to building the query dynamically in C#.
Here's an option. Load values you want to filter to a table, left outer join and use PATINDEX().
DECLARE #FilterValues TABLE
(
[FilterValue] NVARCHAR(10)
);
--Table with values we want filter on.
INSERT INTO #FilterValues (
[FilterValue]
)
VALUES ( N's1' )
, ( N's2' )
, ( N's3' );
DECLARE #TestData TABLE
(
[TestValues] NVARCHAR(100)
);
--Load some test data
INSERT INTO #TestData (
[TestValues]
)
VALUES ( N's1 Test Data' )
, ( N's2 Test Data' )
, ( N's3 Test Data' )
, ( N'test data not filtered out' )
, ( N'test data not filtered out 1' );
SELECT a.*
FROM #TestData [a]
LEFT OUTER JOIN #FilterValues [b]
ON PATINDEX([b].[FilterValue] + '%', [a].[TestValues]) > 0
WHERE [b].[FilterValue] IS NULL;
I have a table like below:
and I want to group by the date and name and then order by the MAX of rate. I use such an Expression:
NewTable =
CALCULATETABLE (
Table1,
GROUPBY ( Table1, Table1[Day], Table1[Name], "maxrate", MAX ( Table1[Rate] ) ))
But I receive an error. Can anyone explain how max and group by can be used together in DAX?
Just use SUMMARIZE function instead of GROUPBY:
New Table = SUMMARIZE (Table1, Table1[Day], Table1[Name], "maxrate', MAX(Table1[Rate]))
GROUPBY requires an iterator (such as MAXX). For example, let's say your table has rate and quantity, and your want to calculate max amount (rate * quantity). Then you should use GROUPBY:
New Table =
GROUPBY (
Table1,
Table1[Day],
Table1[Name],
"Max Amount", MAXX ( CURRENTGROUP (), Table1[Rate] * Table1[Quantity] )
)
Here, you first group table1 by day and name, and then iterate current group, to find max amount.
GROUPBY is very handy in some complicated cases, but your situation seems straightforward.
It's all in the title. Documentation has something like this:
SELECT *
FROM crosstab('...') AS ct(row_name text, category_1 text, category_2 text);
I have two tables, lab_tests and lab_tests_results. All of the lab_tests_results rows are tied to the primary key id integer in the lab_tests table. I'm trying to make a pivot table where the lab tests (identified by an integer) are row headers and the respective results are in the table. I can't get around a syntax error at or around the integer.
Is this possible with the current set up? Am I missing something in the documentation? Or do I need to perform an inner join of sorts to make the categories strings? Or modify the lab_tests_results table to use a text identifier for the lab tests?
Thanks for the help, all. Much appreciated.
Edit: Got it figured out with the help of Dmitry. He had the data layout figured out, but I was unclear on what kind of output I needed. I was trying to get the pivot table to be based on batch_id numbers in the lab_tests_results table. Had to hammer out the base query and casting data types.
SELECT *
FROM crosstab('SELECT lab_tests_results.batch_id, lab_tests.test_name, lab_tests_results.test_result::FLOAT
FROM lab_tests_results, lab_tests
WHERE lab_tests.id=lab_tests_results.lab_test AND (lab_tests.test_name LIKE ''Test Name 1'' OR lab_tests.test_name LIKE ''Test Name 2'')
ORDER BY 1,2'
) AS final_result(batch_id VARCHAR, test_name_1 FLOAT, test_name_2 FLOAT);
This provides a pivot table from the lab_tests_results table like below:
batch_id |test_name_1 |test_name_2
---------------------------------------
batch1 | result1 | <null>
batch2 | result2 | result3
If I understand correctly your tables look something like this:
CREATE TABLE lab_tests (
id INTEGER PRIMARY KEY,
name VARCHAR(500)
);
CREATE TABLE lab_tests_results (
id INTEGER PRIMARY KEY,
lab_tests_id INTEGER REFERENCES lab_tests (id),
result TEXT
);
And your data looks something like this:
INSERT INTO lab_tests (id, name)
VALUES (1, 'test1'),
(2, 'test2');
INSERT INTO lab_tests_results (id, lab_tests_id, result)
VALUES (1,1,'result1'),
(2,1,'result2'),
(3,2,'result3'),
(4,2,'result4'),
(5,2,'result5');
First of all crosstab is part of tablefunc, you need to enable it:
CREATE EXTENSION tablefunc;
You need to run it one per database as per this answer.
The final query will look like this:
SELECT *
FROM crosstab(
'SELECT lt.name::TEXT, lt.id, ltr.result
FROM lab_tests AS lt
JOIN lab_tests_results ltr ON ltr.lab_tests_id = lt.id'
) AS ct(test_name text, result_1 text, result_2 text, result_3 text);
Explanation:
The crosstab() function takes a text of a query which should return 3 columns; (1) a column for name of a group, (2) a column for grouping, (3) the value. The wrapping query just selects all the values those crosstab() returns and defines the list of columns after (the part after AS). First is the category name (test_name) and then the values (result_1, result_2). In my query I'll get up to 3 results. If I have more then 3 results then I won't see them, If I have less then 3 results I'll get nulls.
The result for this query is:
test_name |result_1 |result_2 |result_3
---------------------------------------
test1 |result1 |result2 |<null>
test2 |result3 |result4 |result5