I have two differents tables. The have some columns in common, for this example lets say 'name' and 'id'.
By making
( SELECT name,id FROM table1
EXCEPT
SELECT name,id FROM table2)
UNION ALL
( SELECT name,id FROM table2
EXCEPT
SELECT name,id FROM table1)
I get a list of the elements that are on one tablet but not in the other one.
Up to this point everything is OK.
But now, I want to make a select all from table1 where the name and the id matches the result of the query above.
After lots of comments I think this is what you're after...
SELECT T1.*
FROM table1 t1
LEFT JOIN table2 t2
on T1.ID = T2.ID
and T1.Name = T2.Name
AND E2.event_Time_UTC between convert(datetime,'2016-02-09 00:00:20',101) and convert(datetime '2016-02-09 23:59:52',101)
WHERE T2.Name is null
AND E1.Event_Time_UTC between convert(datetime,'2016-02-09 00:00:20',101) and convert(datetime,'2016-02-09 23:59:52',101)
You may allow implicit casting to work but above is the explicit approach.
If not then you would need to cast the string dates to a date time, assuming Event_Time_UTC is a date/time datatype.
A left join lets us return all records from the 1st table and only those that match from the 2nd.
The t1.* returns only the columns from table1. The join criteria (on) allows us to identify those records which match so they can then be eliminated in the where clause by 'where t2.name is null' they will always be null when no record match in t2.
Thus you get a result set that is: all records from t1 without a matching record on name and id in table2.
Old version
The below content is no longer relevant, based on comments.
I redacted previous answer a lot because you're using SQL Server not MySQL and I know you want multiple records not table1 and table2 joined.
In the below I create two tables: table1 and table2. I then populate table1 and table2 with some sample data
I then show how to get only those records which exist in one table but not the other; returning a separate ROW for each. I then go into detail as to why I choose this approach vs others. I'll finally review what you've tried and try to explain why I don't think it will work.
create table table1 (
ID int,
name varchar(20),
col1 varchar(20),
col2 varchar(20),
col3 varchar(20));
Create table table2 (
id int,
name varchar(20));
Insert into table1 values (1,'John','col1','col2','col3');
Insert into table1 values (2,'Paul','col1','col2','col3');
Insert into table1 values (3,'George','col1','col2','col3');
Insert into table2 values (1,'John');
Insert into table2 values (4,'Ringo');
Option 1
SELECT T1.name, T1.ID, T1.Col1, T1.Col2, T1.Col3
FROM Table1 T1
LEFT JOIN Table2 T2
on T1.Name = T2.Name
and T1.ID = T2.ID
WHERE T2.ID is null
UNION ALL
SELECT T2.name, T2.ID, NULL, NULL, NULL
FROM Table1 T1
RIGHT JOIN Table2 T2
on T1.Name = T2.Name
and T1.ID = T2.ID
WHERE T1.ID is null ;
which results in...
Notice John isn't there as it's in both tables. We have the other 2 records from table1, and the ID, name from table2 you're after.
Normally I would do this as a full outer join but since I think you want to reuse the name and id fields to relate to BOTH tables in the same column we had to use this approach and spell out all the column names in table 1 and put NULL for each column in table1 when displaying records from table2 in order to make the output of the second query union to the first. We simply can't use *
Option 2: Using a full outer join... with all columns from T1
SELECT T1.*
FROM Table1 T1
FULL OUTER JOIN Table2 T2
on T1.ID = T2.ID
and T1.Name = T2.Name
WHERE (T1.ID is null or T2.ID is null)
you get this... which doesn't show Ringo...
But then I would ask why you need anything from Table 2 at all so I think you're wanting to still show the ID, Name from table2 when it doesn't exist in table1.
Which is why What I think you're after is the results from the 1st query using the union all.
Option 3 I suppose we could avoid the second query in option 1 by doing...
SELECT coalesce(T1.Name, T2.name) as name, coalesce(T1.Id,T2.ID) as ID, T1.col1, T1.Col2, T1.Col3
FROM Table1 T1
FULL OUTER JOIN Table2 T2
on T1.ID = T2.ID
and T1.Name = T2.Name
WHERE (T1.ID is null or T2.ID is null)
which gives us what I believe to be the desired results as well.
This works because we know we only want the name,id from table2 and all the column values in table1 will be blank.
Notice however in all cases we simply can't use Tablename.* to select all records from table1.
This is what you tried:
( SELECT name,id FROM table1
EXCEPT
SELECT name,id FROM table2)
UNION ALL
( SELECT name,id FROM table2
EXCEPT
SELECT name,id FROM table1)
Assuming you want to reuse the ID, Name fields; you can't select *. Why? because the records in Table2 not in table1 aren't in table1. In my example if you want Ringo to show up you have to reference table2! Additionally, * gives you no ability to "Coalesce" the ID and name fields together as I did in option 3 above.
If you ONLY want the columns from table1, that means you will NEVER see data from table2. If you don't need the data from table2, (such as ringo in my example) then why do we need to do the union at all?) I'm assuming you want ringo, thus you HAVE to somewhere reference name, id from table2.
You could also do this with NOT EXISTS:
SELECT *
FROM table1
WHERE
NOT EXISTS
(SELECT 1
FROM table2
WHERE table1.id = table2.id
AND table1.name = table2.name)
;with cte as
(
( SELECT name,id FROM table1
EXCEPT
SELECT name,id FROM table2)
UNION ALL
( SELECT name,id FROM table2
EXCEPT
SELECT name,id FROM table1)
)
Select *
from table1 as tbl1
where
tbl1.id = cte.id
and tbl1.name = cte.name
Related
So, I would like the next query for postgres:
SELECT name
FROM Table1 as T1
WHERE T1.id = (
SELECT id
FROM Table2 AS T2
WHERE T2.active=true)
So, I need to get all the values from the first table, whose id matches the ones set as active in another table.
You don't need a sub query for this. Use a join. It will be a lot more efficient.
SELECT T1.name
FROM Table1 as T1
INNER JOIN Table2 as T2 ON T2.id = T1.id AND T2.active=true
The equality operator imposes that the subquery should return a single record. You want IN instead, which accepts a resultset:
SELECT T1.name
FROM Table1 as T1
WHERE T1.id IN (SELECT id FROM Table2 AS T2 WHERE T2.active)
This can also be expressed with EXISTS:
SELECT T1.name
FROM Table1 as T1
WHERE EXISTS (SELECT 1 FROM Table2 AS T2 WHERE T2.id = T1.id AND T2.active)
Note that in Postgres condition T2.active = true can be shortened T2.active.
For performance, you want an index on Table2(id, active) and another on Table1(id).
I wish to select some rows from a table based on values from another table:
Table1 (wish to select from here)
Columns Date, Name, Pay
Table2 (contains a 'list' that determines what is selected from Table1)
Columns Date, Name
The query I wish to write is to:
Select Date,Name,Pay from Table1 where Date,Name is present in Table2
I got as far as being able to do it on one value
SELECT Date,Name,Pay FROM Table1 WHERE Table1.Name IN (Select Table2.name from Table2)
but Im stuck with how to add the date qualifier. The names in either table are not unique, what makes them unique is the date and name combination.
If I understood your question clearly, you want to apply join
select t1.Date,t1.Name,t1.Pay FROM Table1 t1 inner join Table2 t2
ON t1.Name = t2.Name and t1.Date = t2.Date
The generic SQL solution uses exists:
Select Date, Name, Pay
from Table1 t1
where exists (select 1 from table2 t2 where t2.date = t1.date and t2.name = t1.name);
This will not match values in table 2 if they are NULL. For that, you would need a NULL-safe comparison operation. The ANSI standard is is not distinct from.
Some databases support in with tuples. In those databases, you can write:
Select Date, Name, Pay
from Table1 t1
where (t1.date, t1.name) in (select t2.date, t2.name from table2 t2);
Once again, this might have an issue with NULL values, depending on how you want to treat them.
Interestingly, you could extend your logic by using a correlated subquery:
SELECT Date, Name, Pay
FROM Table1 t1
WHERE t1.Name IN (Select t2.name from Table2 t2 where t2.date = t1.date);
Although this does what you want, I think the previous two approaches are clearer in their intent.
I should note that you could use a join for this. However, that would return duplicate values if you had duplicates in table2. For that reason, I prefer the exists or in methods, because these have no risk of duplicating values.
You can use alias (and instead of subquery a join ) for a more easy vision of your related table
SELECT a.Date, a.Name, a.Pay
FROM Table1 a
inner join Table2 b on a.name = b.name
in this case date is obtain from table1, changing the alias or addingi both column if you need more
I have a SQL Insert statement that needs to insert records into another table only if the the record doesn't exist in table2 or the zip code has changes in table1. I have tried the following but it throws an error and it is the logic I am looking for:
INSERT INTO table2
SELECT id, zip
FROM table1 t1
JOIN table2 t2
ON t1.id = t2.id and t1.zip <> t2.zip
I also need it to insert the records if the id doesn't exist at all in table2. I have googled the crap out of this and can't seem to find the solution anywhere.
What about this?
INSERT INTO table2
SELECT t2.id, t2.zip
FROM table1 t1
LEFT OUTER JOIN table2 t2
ON t1.id = t2.id
WHERE (t1.id IS NULL OR t2.zip <> t1.zip)
Also, be sure to clarify which table's id and zip columns you are asking for.
You should always include column lists when doing inserts. Second, your query doesn't quite capture your logic. You need a left outer join to find the records that don't exist in the second table. Perhaps this might do what you want:
INSERT INTO table2(id, zip)
SELECT id, zip
FROM table1 t1 LEFT JOIN
table2 t2
ON t1.id = t2.id
WHERE (t1.zip <> t2.zip) or (t2.zip is null)
You just need a WHERE NOT EXISTS clause
INSERT INTO table2
SELECT id, zip
FROM table1
WHERE NOT EXISTS (SELECT 1 FROM table2 WHERE table2.id = table1.id AND table2.zip = table1.zip)
Is there a quicker way to get the ids that exist in table1 but not exist in table2 and insert them in table2?
insert into table2 (id)
select id
from table1
where table1.id not in (select id from table2)
In addition to your solution using the in operator try the exists one
select id
from table1 t1
where not exists (
select 1
from table2
where id = t1.id
)
If the subquery returns an empty set not exists evaluates to true
The outer join
select id
from
table1 t1
left join
table2 t2 on t1.id = t2.id
where t2.id is null
Use explain analyze to compare
Updating a column that is part of your selection criteria should be no problem I think/thought.
I still have a query that gives odd results:
update table1 as t1
inner join table2 as t2 on t1.id = t2.old_id
set t1.id = t2.id
I use table2 to map id to old_id.
table1.id and table2.id are both primary keys. table2.old_id is also unique.
It follows that table1.id will still be unique after this update.
WRONG! MS Access will make rumble of this, with some duplicate table.id values.
I think however this is the correct way of updating a column that is used in a join? How could we achieve the desired result in MS Access?
Note: table2 is a mysql view accessed via ODBC.
table1.id and table2.id are both
primary keys. table2.old_id is also
unique.
It follows that table1.id will still
be unique after this update.
That ain't necessarily so.
It seems old_ID and (new) ID are of the same data type. A row in table1 that has no matching row in table2 based on the predicate (table1.ID = table2.old_ID) would not be updated. A different row could match a (new) ID value, hence get updated, with the same value as that row that didn't get updated.
Here's an example using Standard SQL (works in SQL Server 2008, not it Access/Jet) which I hope you can follow. Note I've re-written your INNER JOIN using an EXISTS construct to fit the logic of what I am trying to convey:
WITH Table1 (ID) AS
(
SELECT ID
FROM (
VALUES (1),
(2),
(3),
(4)
) AS Table2 (ID)
),
Table2 (old_ID, ID) AS
(
SELECT old_ID, ID
FROM (
VALUES (1, 55),
(2, 99),
(3, 4)
) AS Table2 (old_ID, ID)
)
-- ID of rows that will not be updated:
SELECT T1.ID
FROM Table1 AS T1
WHERE NOT EXISTS (
SELECT *
FROM Table2 AS T2
WHERE T1.ID = T2.old_ID
)
UNION ALL
-- updated IDs
SELECT T2.ID
FROM Table2 AS T2
WHERE EXISTS (
SELECT *
FROM Table1 AS T1
WHERE T1.ID = T2.old_ID
);
The resultset:
ID
---
4 --<-- duplicate
55
99
4 --<-- duplicate
In other words, even though all the following are unique:
(table1.ID)
(table2.ID)
(table2.old_ID)
...the following may contain duplicates:
table1.ID
UNION ALL
table2.ID
Using JOINs in UPDATE statements isn't consistently supported, which is why they aren't my habit to use.
UPDATE TABLE1 AS t1
SET t1.id = (SELECT t2.id
FROM TABLE2 t2
WHERE t2.old_id = t1.id)