I have two tables. In Table A I have a "StartDate" besides other values. I also have a column "TimeZone". In Table B I have TimeZone, StartDST, EndDST (DST=DaylightSavingTime) for several years.
I want to check - if StartDate is in Table B between B.StartDST and B.EndDST. If NOT... it should give me 0 else 1.
TimeZone exists multiple Times in B.
FROM DutyList A
WHERE NOT EXISTS (SELECT 1
FROM TimeZoneDST B
WHERE A.StartDuty between B.DSTstart and B.DSTend))
This does not give me all records. I need ALL records from DutyList A.
I need an extra column "DSTexists" 0 or 1 - if StartDuty is in Table B.
I am using SQL Server 2014.
SELECT A.*,
CASE WHEN EXISTS (SELECT 1 FROM TimeZoneDST B
WHERE A.StartDuty between B.DSTstart and B.DSTend)
THEN 1
ELSE 0
END as DSTexists
FROM DutyList A;
Related
Using the query wizard, I built two different queries doing similar functionalities that I am trying to combine into one query. I have two tables (same structure) that I am matching to find duplicates:
Query #1 is as follows (Include ALL records from Table 1 and only those records from Table 2 where the joined fields are equal are applied to all the columns below):
Match Table 1 Column 3 to Table 2 Column 3
Match Table 1 Column 4 to Table 2 Column 4
Match Table 1 Column 5 to Table 2 Column 5
Match Table 1 Column 7 to Table 2 Column 7
If all of those columns from Table 1 match what’s in Table 2, it will identify the duplicates (I bring in Table 2 Column 7 which will show the duplicates I am looking for).
Query #2 is as follows (Include ALL records from Table 1 and only those records from Table 2 where the joined fields are equal are applied to all the columns below):
Match Table 1 Column 3 to Table 2 Column 3
Match Table 1 Column 4 to Table 2 Column 4
Match Table 1 Column 5 to Table 2 Column 5
Match Table 1 Column 8 to Table 2 Column 8
My second query has the same 3 columns, except the last column is different.
If all of those columns from Table 1, match what’s in Table 2, it will identify the duplicates (I bring in Table 2 Column 7/8 which will show the duplicates I am looking for).
What I am trying to do:
Add an OR statement for the query to show both duplicates on matches for Columns 8 and Columns 7. Such as if Table 1 Column 7 matches Table 2 Column 7 OR Table 1 Column 8 matches Table 2 Column 8, show the duplicates.
Would this require a UNION query?
Here is the query for one of them:
SELECT TABLE1.COLUMN_3, TABLE1.COLUMN_4, TABLE1. COLUMN_7,
TABLE2.COLUMN_7, TABLE1.COLUMN_5
FROM TABLE1
LEFT JOIN TABLE2
ON (TABLE1.COLUMN_7 = TABLE2.COLUMN_7)
AND (TABLE1.COLUMN_3 = TABLE2.COLUMN_3)
AND (TABLE1.COLUMN_4 = TABLE2.COLUMN_4)
AND (TABLE1.COLUMN_5 = TABLE2.COLUMN_5);
The given SQL will not run because of spaces in table and column names.
This example eliminates those spaces.
SELECT
Table1.Column3 , Table2.Column3
,Table1.Column4 , Table2.Column4
,Table1.Column5 , Table2.Column5
,Table1.Column7 , Table2.Column7
,Table1.Column8 , Table2.Column8
From Table1
Left Join Table2
On
( Table1.Column3 = Table2.Column3
AND Table1.Column4 = Table2.Column4
AND Table1.Column5 = Table2.Column5
AND ( Table1.Column7 = Table2.Column7
OR Table1.Column8 = Table2.Column8
)
)
Create query 3; add Q1 and Q2 - join them on F7. This will result in all matches of that field.
Create query 4; add Q1 and Q2 - join them on F8. This will result in all matches of that field.
You now have 2 data sets with those matches (you call duplicates). Then the decision is how to present/display. If you need them in a single record set - write those into a single common temp table. But otherwise you can easily present them together as sub reports/forms.
i have a requirement like below
i have two tables in same data base, both table have same structure and column count.but the columns not present in the same position.
ex:
table 1
id name age
1 dhileep 22
2 uday 33
table 2
id age name
1 20 udayga
2 22 uday
i have id column is same for all tables, if i change the table also i have id same, but may columns name and column count and data count will change.
my final output is:
column_name id table1 table 2
name 1 dhileep udayga
note: i gave above as example, the count of columns is more than 500 and data exist approximately 50000+
use Sql JOIN .to join the 2 tables
use the following answer .i think it is useful for u.
SELECT t1.id,t1.name,t2.name FROM table1 AS t1 JOIN table2 AS t2 ON t1.id = t2.id
I have a SQL Server database with two tables, table 1 lists membership records and table 2 lists the names for each membership record. There can be more than one person in table 2 per record in table 1.
table_1.MembershipNumber
table_1.MemberType
table_1.StartDate
table_2.MembershipNumber
table_2.FirstName
table_2.LastName
table_2.Age
I would like to create a view which filters out records in table 1 where the age of anyone in table 2 is over the age of, say, 50.
CREATE VIEW [dbo].[vw_Membership]
AS
Select t.MembershipNumber ,tt.FirstName,tt.LastName
from MembershipNumber_table_1 t
INNER JOIN MembershipNumber_table_2 tt
ON t.MembershipNumber = tt.MembershipNumber
AND MemberType = 'A'
WHERE (DATEDIFF(yy,MembershipNumber_table_2.Age,GetDate()) -
CASE WHEN((MONTH(MembershipNumber_table_2.Age)*100 + DAY(MembershipNumber_table_2.Age)) > (MONTH(GetDate())*100 + DAY(GetDate()))) THEN 1 ELSE 0 END)>50
GO
OR
WHERE DATEDIFF(YEAR, MembershipNumber_table_2.Age, GETDATE())>50
I have two tables looking like this:
A B
id_attr value id id_attr value
-------------- -------------------
1 a 1 2 b
2 b 1 3 c
3 c 2 2 b
4 NULL 2 4 d
2 5 e
3 1 aaa
3 3 c
Table A is my reference table and I have multiple entries in table B. (every group of entries with the same id cosists of pairs of (id_attr,value) similiar to structure of table A). Goal is to check if entry in table A matches any of the entries in table B (one or more). One entry matches another when every attribute existing in table B under one id matches similiar attributes in table A. Also, in table A values could be NULL, but in table B not.
In example above my query should return "1", becouse only entries with id 1 fully match similiar entries in table A. Id 2 doesn't match, becouse in table A value of attribute 4 is NULL and it has an attribute which doesn`t exist in table A. Id 3 doesn't match either even if attribute 3 is similiar, but attribute 1 doesn't match.
As you can see to achieve a match not every one of the entries existing in table A should be matching, but if an attribute exists in table B then it value has to match similiar value in table A.
What is the most efficient way to achieve this result in an Oracle query?
Every help would be greatly appreciated. I can provide answers to further questions if I didn't express myself clear enough.
You can try the following:
SELECT ID, MIN(IS_OK) FROM
(
SELECT B.ID ID,
DECODE(B.VALUE, A.VALUE, 'Y', 'N') IS_OK
FROM A INNER JOIN B
ON B.ID_ATTR = A.ID_ATTR
)
GROUP BY ID;
Which will return you B's ID and a flag that indicates whether this ID is OK or not.
(Note that Decode will properly take care of the null values comparison without having to test for null values)
Currently struggling with finding a way to validate 2 tables (efficiently lots of rows for Table A)
I have two tables
Table A
ID
A
B
C
Table matched
ID Number
A 1
A 2
A 9
B 1
B 9
C 2
I am trying to write a SQL Server query that basically checks to make sure for every value in Table A there exists a row for a variable set of values ( 1, 2,9)
The example above is incorrect because t should have for every record in A a corresponding record in Table matched for each value (1,2,9). The end goal is:
Table matched
ID Number
A 1
A 2
A 9
B 1
B 2
B 9
C 1
C 2
C 9
I know its confusing, but in general for every X in ( some set ) there should be a corresponding record in Table matched. I have obviously simplified things.
Please let me know if you all need clarification.
Use:
SELECT a.id
FROM TABLE_A a
JOIN TABLE_B b ON b.id = a.id
WHERE b.number IN (1, 2, 9)
GROUP BY a.id
HAVING COUNT(DISTINCT b.number) = 3
The DISTINCT in the COUNT ensures that duplicates (IE: A having two records in TABLE_B with the value "2") from being falsely considered a correct record. It can be omitted if the number column either has a unique or primary key constraint on it.
The HAVING COUNT(...) must equal the number of values provided in the IN clause.
Create a temp table of values you want. You can do this dynamically if the values 1, 2 and 9 are in some table you can query from.
Then, SELECT FROM tempTable WHERE NOT IN (SELECT * FROM TableMatched)
I had this situation one time. My solution was as follows.
In addition to TableA and TableMatched, there was a table that defined the rows that should exist in TableMatched for each row in TableA. Let’s call it TableMatchedDomain.
The application then accessed TableMatched through a view that controlled the returned rows, like this:
create view TableMatchedView
select a.ID,
d.Number,
m.OtherValues
from TableA a
join TableMatchedDomain d
left join TableMatched m on m.ID = a.ID and m.Number = d.Number
This way, the rows returned were always correct. If there were missing rows from TableMatched, then the Numbers were still returned but with OtherValues as null. If there were extra values in TableMatched, then they were not returned at all, as though they didn't exist. By changing the rows in TableMatchedDomain, this behavior could be controlled very easily. If a value were removed TableMatchedDomain, then it would disappear from the view. If it were added back again in the future, then the corresponding OtherValues would appear again as they were before.
The reason I designed it this way was that I felt that establishing an invarient on the row configuration in TableMatched was too brittle and, even worse, introduced redundancy. So I removed the restriction from groups of rows (in TableMatched) and instead made the entire contents of another table (TableMatchedDomain) define the correct form of the data.