I have two tables with:
Table1:
ID_Number | Description|
a | abc
b | cde
c | fgh
Table2:
ID | Title | value
a | phone number | 555-1234
a | address | somewhere USA
a | mobile_number | 867-5309
b | phone number | ...
b | address | ...
b | mobile_number | ...
I want to create a new table with all data that belong to each ID_number that exists in Table 2.
with the query I'm able to list all.
select Table1.ID_Number, Table2.ID from Table1, Table2
where Table1_ID_number = Table2.ID))
order by ID_Number
But I would like to create a new table with:
Table3
|ID | Description| ID_data
a , abc, "Address_A_PhoneNumber_A_Mobile_Number_A"
b , cde, "Address_B_PhoneNumber_B_Mobile_Number_B"
Is this possible with SQL???
I needed to edit your question and add a third column to the second table containing values for the various types of information. Without something like this, I'm afraid your question makes no sense.
We can aggregate by ID and pivot out the address and phone numbers into a single concatenated string.
SELECT
t1.ID_Number,
t1.Description
MAX(CASE WHEN t2.title = 'address' THEN t2.value END) || '_' ||
MAX(CASE WHEN t2.title = 'phone number' THEN t2.value END) || '_' ||
MAX(CASE WHEN t2.title = 'mobile_number' THEN t2.value END) AS ID_data
FROM Table1 t1
INNER JOIN Table2 t2
ON t1.ID_Number = t2.ID
GROUP BY
t1.ID_Number,
t1.Description;
Related
I have two tables of data which I can join using a left join linked on the ID in both tables. Where the course and the person are the same, I need to populate the RegNumber as the same as the RegNumber which is already there for 1 row:
How it is currently: if I join table 1 and table 2 with a left join.
Table 1
ID | Course| Person
67705 | A | 1
68521 | A | 1
85742 | A | 1
89625 | A | 1
67857 | B | 2
86694 | B | 2
88075 | B | 2
88710 | C | 3
47924 | C | 3
66981 | C | 3
12311 | B | 1
12312 | B | 1
12313 | B | 1
Table 2
ID | RegNumber
67705 | N712316
NULL | NULL
NULL | NULL
NULL | NULL
67857 | N712338
NULL | NULL
NULL | NULL
NULL | NULL
47924 | M481035
NULL | NULL
12311 | N645525
NULL | NULL
NULL | NULL
I need table 2 to look like this:
ID | RegNumber
67705 | N712316
68521 | N712316
85742 | N712316
89625 | N712316
67857 | N712338
86694 | N712338
88075 | N712338
88710 | N712338
47924 | M481035
66981 | M481035
12311 | N645525
12312 | N645525
12313 | N645525
That is, I need to insert new rows into Table 2
Can anyone help me please? This is Totally beyond my capability!
insert into table2 (ID,RegNumber)
select t1.ID,reg.regNumber
from table1 t1
cross join (select top 1 regNumber from table2 r2 join table1 r1
on r1.Id = r2.Id
and r1.Course = t1.Course
and r1.Person = t1.person
order by id) reg
where not exists (select 1 from table2 t2 where t1.ID = t2.ID)
you can improve performance a little bit by loading data into temp table first :
select t1.ID , Course,Person,regNumber
into #LoadedData
from table1 t1
join table2 t2 on t1.Id = t2.ID
insert into table2 (ID,RegNumber)
select t1.ID,reg.regNumber
from table1 t1
cross join (select top 1 regNumber from #LoadedData l
where l.Course = t1.Course
and l.Person = t1.person
order by id) reg
where not exists (select 1 from #LoadedData l where t1.ID = l.ID)
in either case having an index on (ID, Course, Person) will help with performance
Assuming:
You are missing items in table 2 that inherit data from other records in table 1.
What makes two different IDs share the same Regnumber is to have BOTH course and person number in common.
You really need to join table 1 to itself to create the mapping that associates ID 67705 with ID 68521, then you can join in table 2 to pick up the Regnumber.
Try this:
Insert into table2 (ID,RegNumber)
Select right1.ID, left2.RegNumber
From (
(table2 left2 INNER JOIN
table1 left1 On (left1.ID=left2.ID)
INNER JOIN table1 right1 On (left1.Course=right1.Course AND left1.Person=right1.Person)
) LEFT OUTER JOIN table2 right2 On (right1.ID=right2.ID)
WHERE right2.ID Is Null
The 4th table join (alias right2) is purely defensive, to handle two records in table2 having identical Person & Course in table1.
I have solved this myself.
I concatenated the person and course columns and then joined them using that new concatenated field
insert into table 2 (ID,RegNumber)
select X1.ID,X2.Regnumber
from (select concat(course,person) as X,ID from table1) X1
join (select concat(t1.course,t1.person) as X, t2.RegNumber
from table1 t1
join table2 t2 on t1.ID = t2.ID) X2
on X1.X = X2.X
where X1.ID not in (select ID from table2)
I want to take the data from two tables and output them in one row .
output will have two columns "to" and "from" where the condition is "from" will be having data from second table where type is true and "to" column will have data from second table where type is false . FK_ID in second table is linked to ID on the first table . Please help with the query.
I was trying to do with inner joins and union was not able to make it work . Thanks in advance .
TABLE 1
ID | PATH|
1 | ABC |
2 | EFG |
TABLE 2
ID | FK_ID | NUMBER | TYPE
20 | 1 | 123 | TRUE
21 | 1 | 456 | FALSE
28 | 2 | 888 | FALSE
29 | 2 | 939 | TRUE
OUTPUT SHOULD BE:
ID | PATH | TO | FROM
1 | ABC | 456 | 123
2 | EFG | 888 | 939
Use aggregation with pivoting logic to identify the "to" and "from" components of each path:
SELECT
t1.ID,
t1.PATH,
MAX(CASE WHEN t2.TYPE = 'FALSE' THEN t2.NUMBER END) AS "TO",
MAX(CASE WHEN t2.TYPE = 'TRUE' THEN t2.NUMBER END) AS "FROM"
FROM table1 t1
LEFT JOIN table2 t2
ON t1.ID = t2.FK_ID
GROUP BY
t1.ID,
t1.PATH
ORDER BY
t1.ID;
If performance is an issue, you might find a lateral join to be faster:
SELECT t1.*, t2.*
FROM table1 t1 LEFT JOIN LATERAL
(SELECT SUM(T2.NUMBER) FILTER (WHERE NOT t2.TYPE) as num_to,
SUM(T2.NUMBER) FILTER (WHERE t2.TYPE) as num_from
FROM table2 t2
WHERE t1.ID = t2.FK_ID
) t2
ORDER BY t1.ID;
This avoids the outer GROUP BY and probably the sorting as well (assuming that ID is the primary key).
It also assumes that TYPE is a Postgres boolean type. If not, use string comparisons for the WHERE clauses.
I have two tables with shared key and I'm trying to join them to filter data based on few conditions
tbl1
id | OutPutValue |
1 | 2019 |
2 | 2018 |
tbl2
object_id | status | type |
1 | 22 | a |
1 | 22 | c |
1 | 33 | b |
2 | 33 | c |
2 | 33 | c |
2 | 33 | c |
What I'm trying to get is : it must select all 'OutPutValue' from tbl1 where, in tbl2 column 'type' should be c, and column 'status' must have same value for all rows i.e. 33. Note that Primary key (id) of tbl1 is foreign key (object_id) in tbl2.
Select column from tbl1 if, All rows in tbl2 (id of tbl1 have multiple rows (based on object_id) in tbl2) have same status value i.e. 33 and Type should be 'c'.
OutPutValue | Type | status |
2018 | c | 33 |
I have tried with following solution, but it's not returning desired output :
SELECT a.OutPutValue FROM tbl1 a JOIN tbl2 b ON a.id = b.object_id WHERE b.Type =c
GROUP BY a.OutPutValue, b.status HAVING b.STATUS IN(33)
You can try using correlated subquery
DEMO
select distinct OutPutValue,type, status
from t2 a inner join t1 b on a.object_id=b.id
where type='c' and not exists
(select 1 from t2 a1 where a.object_id=a1.object_id and status<>33 and type='c')
OUTPUT:
OutPutValue type status
2018 c 33
Another solution could be the following :
SELECT T1.id, T1.outputvalue FROM tbl1 T1
JOIN (
SELECT tbl2.*, MAX(type), MAX(status)
FROM tbl2
GROUP BY object_id
HAVING
MIN(status) = MAX(status) AND
MIN(type) = MAX(type)
) T2 ON T1.id = T2.object_id
WHERE T2.type = 'c'
EDIT: I have updated my query to match a particular case which make it quite similar to another answer.
FIND A DEMO HERE
Try a join combined with an aggregation:
SELECT
t1.OutPutValue,
MAX(t2.type) AS type,
MAX(t2.status) AS status
FROM tbl1 t1
INNER JOIN tbl2 t2
ON t1.id = t2.object_id
GROUP BY
t1.id,
t1.OutPutValue
HAVING
MIN(t2.status) = MAX(t2.status) AND
MAX(t2.status) = 33 AND
MIN(t2.type) = MAX(t2.type) AND
MAX(t2.type) = 'c';
How to join values from two tables ...
Table_1:
ID | Value
----------
10 | Dog
27 | Cat
Table_2:
ID | Value
----------
27 | Cat
My SQL... (Microsoft Access 2016)
SELECT ID, VALUE , "YES" AS Table_1, NULL AS Table_2
FROM Table_1
UNION
SELECT ID, VALUE, NULL AS Table_1, "YES" AS Table_2
FROM Table_2
...returns this result:
ID | Value | Table_1 | Table_2
------------------------------
10 | Dog | YES |
27 | Cat | YES |
27 | Cat | | YES
But I would like to get a result like this:
ID | Value | Table_1 | Table_2
------------------------------
10 | Dog | YES |
27 | Cat | YES | YES
You can use aggregation and union all:
select id, value, max(table_1) as table_1, max(table_2) as table_2
from (select ID, VALUE , "YES" AS Table_1, NULL AS Table_2
from Table_1
union
select ID, VALUE, NULL AS Table_1, "YES" AS Table_2
from Table_2
) t
group by id, value;
The alternative in SQL is a FULL JOIN, but MS Access does not support full joins.
You can make a list of table1 + table2 values and then check if the values exists in table2 or 2 using simple jeft join.
select
base.*,
iif(isnull(t.value), null, 'YES') table1,
iif(isnull(t2.value), null, 'YES') table2
from
(
Select value from Table_1 -- if you have duplicate values add groupby here
union
select value from Table_2
) base -- Make a collection of values from table1 and 2
left join Table_1 T on base.value = T.value
left join Table_2 T2 on base.value = T2.value;
Not sure if you can open above query in design view but the query should work in access. to be design view friendly, you need to make a query object for the base and then you can simply do left joins and iifs
In SQL Server 2008, how can I retrieve data from table1 with new magic column (bit value), this new column take 'true' if current id from table1 exist in table2, else take 'false'.
For example :
Table1
id | name
-----------
10 | USA
11 | UK
12 | France
table2
id | title | fk
----------------------
1 | v1 | 10
2 | v2 | 10
3 | v3 | 11
result :
id | name | new column
----------------------------
10 | USA | true
11 | UK | true
12 | France | false
SELECT DISTINCT table1.id, table1.name,
CASE WHEN table2.id IS NULL THEN 'False' ELSE 'True' END AS mycolumn
FROM table1
LEFT OUTER JOIN table2
ON table1.id = table2.fk
You can use left join to get the data you want.
SQL
select A.*
,case when B.fk is not null then 'true' else 'false' end as [new column]
from table1 A
left join
(
select distinct fk from table2
)B on A.id=B.fk
OUTPUT
id name new column
10 USA true
11 UK true
12 France false
Read about different join types. this is basic SQL.
SELECT Table1.[id], [name], CASE WHEN Table2.[id] IS NULL THEN 0 ELSE 1 END As [New column]
FROM Table1 LEFT JOIN
Table2 ON(Table1.[id] = Table2.[fk])
The following query returns the expected result:
SELECT T1.*
,CAST(CASE
WHEN T2.id IS NOT NULL THEN 1
ELSE 0
END AS BIT) AS magic_column
FROM table1 T1
LEFT JOIN table2 T2 ON T1.id = T2.fk