how to select table from select other table ?
Table1
ID| Name |
1 | Henry
2 | Dony
Table2
ID| Addres|
1 | London
2 | Texas
I have select ID table2 From Select table1, like below :
SELECT ID From Table2 Where Select ID From Table1
You could write a JOIN to do so:
SELECT ID FROM Table2 AS T2
INNER JOIN Table1 AS T1
ON T2.ID=T1.ID
Christos is totally right, you can just use an INNER JOIN to join the two tables. Basically, what this will do is combine both tables, returning only those values from where your specified match key exists. So if you have an ID from table 1, and it isn't in table 2, then you won't see that ID in the query Christos specified. You can use a LEFT JOIN on the command above to get ALL ID's from the T1 table (or a RIGHT JOIN to get all ID's from T2).
Good luck!
Related
I have to select every name from table1 where there's tuples that match every type from table2 without grouping or aggregate functions.
table1 table2
name|type type|info
a | 1 1 | .
a | 2 2 | ..
a | 3 3 | ...
b | 1
b | 2
b | 3
c | 2
From here, it should output
name|
a |
b |
edit:
ended up doing something like
SELECT distinct outside.name
FROM table1 outside
WHERE '' NOT IN
[ (SELECT *
FROM table1 t
WHERE t.name=outside.name)
RIGHT OUTER JOIN
table2 ]
Second select makes a table with empty values for names that don't have a type in table2. So if '' isn't in the second select that means it has a tuple for every type in table2. I think
Here is one method:
select t1.name
from table1 t1
where exists (select 1 from table2 t2 where t2.type = t1.type)
group by t1.name
having count(distinct t1.type) = (select count(distinct t2.type) from table2);
This filters t1 down to the matches in t2. It then counts the number that match.
This uses count(distinct), which allows duplicates in the respective tables. If there are no duplicates, then just use count().
I have difficulties summarizing the issue into a nice, neat title, so the title may be misleading. Here is the situation
Table 1 has an ID, an Issue, and a resolution date, so it is expected that some dates will be null. ID's can be assigned to multiple issues as well.
Table_1:
ID | Issue | Date
1 | a | 1/1
2 | a | 1/1
3 | b |
4 | c | 1/2
I use another table to update this table, so for this example, the data in table_2 looks like:
ID | Issue | Date
3 | b | 1/3
1 | b | 1/3
Now, I have one query which will update table_1 dates using table_2 information, based on the ID/Issue pairing, using something like this:
Update Table_1 tab1
left outer join Table_2 tab2
on tab1.id = tab2.id and tab1.issue = tab2.issue
set tab1.date = tab2.date
However, there will be times where table 2 has ID/Issue pairs that are not in table_1. I would like to instead insert those rows into table_1, but I'm not sure how to do this.
If it was just one single field, say ID, i could just do something like:
insert into table_1 (ID, Issue, Date)
select ID, Issue, Date
from table_2 where table_2.ID not in (select ID from table_1)
How would I do this for an ID/Issue pairing?
Using the above example, I would want to insert the following row from table_2 into table_1:
1 | b | 1/3
since an ID/Issue pair of 1/b exists in table 2 but not table 1.
How would I go about selecting from table 2 the id/issue pairs that do not exist in table 1?
You can use a left outer join to do this:
insert into table_1 (ID, Issue, Date)
select ID, Issue, Date
from table_2 t2
left outer join table_1 t1 on t1.ID = t2.ID and
t1.Issue = t2.Issue
where t1.ID is null
This guarantees you to get every row in table_2 and then limit the rows in table two if there isn't a match in table_1.
One method is to use not exists:
insert into table_1 (ID, Issue, Date)
select ID, Issue, Date
from table_2
where not exists (select 1
from table_1
where table_2.ID = table_1.ID and table_2.issue = table_1.issue
);
I have a table with this structure:
Table 1: ID(PK) | <other columns>
1 | otherdata
2 | otherdata
the other table, It´s a list of documents (PDF,DOC,etc) with a URL to download. these documents is stored in my network.
Table 2: ID | IDDOC | LINKDOC | INFO
1 | 1 | 'http://URL1' | 'Info1'
1 | 2 | 'http://URL2' | 'Info2'
2 | 1 | 'http://URL3' | 'Info3'
ID is the foreign key for Table 1,IDDOC is a foreign key to a 3rd table (below) that describe the document type:
Table 3: IDDOC | Name
1 | 'Contract'
2 | 'Notification'
I need to generate a query to join these tables and get a similar structure
ID | <SomeCollumsTable1> | NameDesc1 | NameURL1 | ... | NameDesc2 | NameURL2
Example output:
ID | <SomeCollumsTable1> | ContractDesc | ContractURL | NotificationDesc | NotificationURL
1 | otherdata | 'Info1' | 'http://URL1' | 'Info2' | 'http://URL2'
2 | otherdata | 'Info3' | 'http://URL3' | '' | ''
I.E. Generate many pairs Desc/URL as many records exits in "Table3". the sample data have 2 documents types and generate 4 columns.
Currently i have subquerys to each desired document, but sounds very inefficient for me, the query is big and new documents i add in "Table3" need change in the whole query and need to just adjust the Where clause to indicate why IDDOC´s need. (using a IN clause)
Or its better to manipulate this in my application (winforms/vb.net)?
The App generate a report in EXCEL format.
Please try the below query:
DECLARE #qu NVARCHAR(MAX), #pcol NVARCHAR(MAX)
SELECT #pcol= COALESCE(#pcol + ',','') + type FROM
(SELECT Name+N'URL' AS type FROM t3 UNION SELECT Name+N'Desc' AS type FROM t3 ) A
SET #qu=N'Select ID,b,c,'+ #pcol + N' FROM
(
SELECT t1.ID, t1.b,t1.c, t2.linkdoc as data,t3.Name +N''URL'' as Type FROM t1 LEFT JOIN t2 ON t1.ID=t2.ID
LEFT JOIN t3 ON t2.iddoc=t3.iddoc
UNION
SELECT t1.ID, t1.b, t1.c, t2.info as data, t3.Name +N''Desc'' as Type FROM t1 LEFT JOIN t2 ON t1.ID=t2.ID
LEFT JOIN t3 ON t2.iddoc=t3.iddoc
)S
PIVOT
(
MAX(data)
FOR Type IN ('+#pcol +N')) AS piv'
EXEC sp_executesql #qu
Here's a sql fiddle for you :
http://sqlfiddle.com/#!6/9fb46/1
EDIT:explanation added
So basically I am using PIVOT, except that PIVOT can be done on a
single column , in our case, either on URL or Desc columns. But we
need both these columns to be pivoted,so I used UNION to get both into
a single column data like below
SELECT t1.ID, t1.b,t1.c, t2.linkdoc as data,t3.Name +N'URL' as Type FROM t1 LEFT JOIN t2 ON t1.ID=t2.ID
LEFT JOIN t3 ON t2.iddoc=t3.iddoc
UNION
SELECT t1.ID, t1.b, t1.c, t2.info as data, t3.Name +N'Desc' as Type FROM t1 LEFT JOIN t2 ON t1.ID=t2.ID
LEFT JOIN t3 ON t2.iddoc=t3.iddoc
which I then used in PIVOT like this :
Select ID,b,c,[ContractURL],[ContractDesc],[NotificationURL],[NotificationDesc]
FROM
(
SELECT t1.ID, t1.b,t1.c, t2.linkdoc as data,t3.Name +N'URL' as Type FROM t1 LEFT JOIN t2 ON t1.ID=t2.ID
LEFT JOIN t3 ON t2.iddoc=t3.iddoc
UNION
SELECT t1.ID, t1.b, t1.c, t2.info as data, t3.Name +N'Desc' as Type FROM t1 LEFT JOIN t2 ON t1.ID=t2.ID
LEFT JOIN t3 ON t2.iddoc=t3.iddoc
)S
PIVOT
(
MAX(data)
FOR Type IN ([ContractURL],[ContractDesc],[NotificationURL],[NotificationDesc])
)piv
Now for making this dynamic I calculated all the unique columns from table t3 like
SELECT Name+N'URL' AS type FROM t3 UNION SELECT Name+N'Desc' AS type FROM t3
I'm wondering if anybody can help me solve this question I got at a job interview. Let's say I have two tables like:
table1 table2
------------ -------------
id | name id | name
------------ -------------
1 | alpha 1 | alpha
3 | charlie 3 | charlie
4 | delta 5 | echo
8 | hotel 7 | golf
9 | india
The question was to write a SQL query that would return all the rows that are in either table1 or table2 but not both, i.e.:
result
------------
id | name
------------
4 | delta
5 | echo
7 | golf
8 | hotel
9 | india
I thought I could do something like a full outer join:
SELECT table1.*, table2.*
FROM table1 FULL OUTER JOIN table2
ON table1.id=table2.id
WHERE table1.id IS NULL or table2.id IS NULL
but that gives me a syntax error on SQL Fiddle (I don't think it supports the FULL OUTER JOIN syntax). Other than that, I can't even figure out a way to just concatenate the rows of the two tables, let alone filtering out rows that appear in both. Can somebody enlighten me and tell me how to do this? Thanks.
Well, you could use UNION instead of OUTER JOIN.
SELECT * FROM table1 t1
LEFT JOIN table2 t2 ON t1.id = t2.id
UNION
SELECT * FROM table1 t1
RIGHT JOIN table2 t2 ON t1.id = t2.id
Here's a little trick I know: not equals is the same as XOR, so you could have your WHERE clause something like this:
WHERE ( table1.id IS NULL ) != ( table2.id IS NULL )
select id,name--,COUNT(*)
from(
select id,name from table1
union all
select id,name from table2
) x
group by id,name
having COUNT(*)=1
I'm sure there are lots of solutions, but the first thing that comes to mind for me is to union all the two tables, then group by name, filter with a having clause on the count.
(
SELECT * FROM TABLE1
EXCEPT
SELECT * FROM TABLE2
)
UNION ALL
(
SELECT * FROM TABLE2
EXCEPT
SELECT * FROM TABLE1
)
This should work on most database servers
SELECT id, name
FROM table1
WHERE NOT EXISTS(SELECT NULL FROM table2 WHERE table1.id = table2.id AND table1.name = table2.name)
UNION ALL
SELECT id, name
FROM table2
WHERE NOT EXISTS(SELECT NULL FROM table1 WHERE table1.id = table2.id AND table1.name = table2.name)
I have 2 tables (perhaps they are badly built).
table1
id | word | user
1 | a | me
2 | b | dad
3 | c | mom
4 | d | sister
table2
id | word | user
1 | a | me
2 | b | dad
I want to show all rows from table1 excluding the rows from table2 which are equal to table1. In this case, the select must display row 3 and 4 from table.
Thanks.
Try this
Select * from Table1
Except
Select * from Table2
You did not specify what RDBMS but you can use NOT EXISTS in all databases:
select *
from table1 t1
where not exists (select *
from table2 t2
where t1.word = t2.word
and t1.user = t2.user
-- add other columns here for comparison including id)
See SQL Fiddle with Demo
Like so:
SELECT *
FROM Table1
WHERE id NOT IN(SELECT id FROM Table2);
Predicate NOT IN Fiddle Demo
Or: using a LEFT JOIN like so:
SELECT t1.*
FROM table1 t1
LEFT JOIN table2 t2 ON t1.id = t2.id
WHERE t2.id IS NULL;
LEFT JOIN Fiddle Demo
You can use EXCEPT (SQL-Server >= 2005)
SELECT id, word, user
FROM Table1
EXCEPT
SELECT id, word, user
FROM Table2;
DEMO
As you did not specify what flavour of SQL you are using, it is probably wise to steer clear of EXCEPTS and use standard ANSI SQL. So this is a case for using a left outer join.
SELECT t1.*
FROM table1 AS t1
LEFT OUTER JOIN table2 AS t2
ON t1.word = t2.word
AND t1.user = t2.user
WHERE t2.id IS NULL