SQL column merge with conditions and without duplicates - sql

Trying to combine 2 tables into 1 results table without having duplicate entries.
Conditions are:
1. For each t1name look for each days in t2date, and if there is 1 in t2update, use that info. If there is no 1, then use the 0 row.
2. If the t1name doesn't exist in t2name, create it with the t1date, and set t2update as 0.
Here the are tables examples:
| t1name | t1date | t1department |
| ------ | ---------- | ------------ |
| name 1 | 2000.01.01 | tlc |
| name 1 | 2000.01.01 | tlc |
| name 2 | 2000.01.04 | non-tlc |
| name 3 | 2000.01.04 | non-tlc |
| name 4 | 2000.01.04 | tlc |
| name 5 | 2000.01.04 | tlc |
| name 6 | 2000.01.04 | tlc |
| name 7 | 2000.01.04 | tlc |
Table 1
| t2name | t2update | t2date |
| ------ | -------- | ------------ |
| name 1 | 1 | 2000.01.01 |
| name 1 | 0 | 2000.01.02 |
| name 1 | 1 | 2000.01.02 |
| name 2 | 1 | 2000.01.04 |
| name 2 | 0 | 2000.01.04 |
| name 2 | 0 | 2000.01.09 |
| name 3 | 0 | 2000.01.09 |
| name 3 | 1 | 2000.01.05 |
| name 4 | 0 | 2000.01.03 |
Table 2
| rname | rupdate | rdate |
| ------ | ------- | ------------ |
| name 1 | 1 | 2000.01.01 |
| name 1 | 1 | 2000.01.02 |
| name 2 | 1 | 2000.01.04 |
| name 3 | 0 | 2000.01.02 |
| name 3 | 1 | 2000.01.05 |
| name 4 | 0 | 2000.01.03 |
| name 5 | 0 | 2000.01.09 |
| name 6 | 0 | 2000.01.09 |
| name 7 | 0 | 2000.01.09 |
Results table
Currently using following:
CREATE OR REPLACE VIEW "rtable" AS
(
SELECT DISTINCT
((CASE WHEN (t2.t2updates) > 0) AND (MAX(t1.t1date))) THEN name
, t1.date
, t1.t1department
, t2.updates
FROM (table1 t1
LEFT JOIN table2 t2 on (t2.t2name = t1.t1name))
GROUP BY
, t1.date
, t1.t1department
, t2.updates
ORDER BY t1.t1name ASC
)
And the results return duplicate values per day. For single t1name and t1date have both entries for 1 and 0. Need the outcome in a specific way so it I can do KPI on the updates of the VMs.

After simplifying the approach, and plenty of trials and error, simple right join did the job
CREATE OR REPLACE VIEW "rtable" AS
(
SELECT
t2.name
, t2.date
, t1.t1department
, t2.updates
FROM
(table1 t1
Right JOIN table2 t2 on (t2.t2name = t1.t1name) AND (t2.date = t1.date)))
)

Related

Inserting set of rows for every ID in another table

this is an initial table (this is just a part of a larger table where Article ID's can vary), database is MS Sql.
-----------------------------------
|ArticleID | GroupID |
-----------------------------------
| 1 | NULL |
-----------------------------------
| 2 | NULL |
-----------------------------------
| 3 | NULL |
-----------------------------------
| 4 | NULL |
-----------------------------------
Set of rows that should be entered for each ArticleID looks something like this:
------------------------
| GroupID |
------------------------
| A |
------------------------
| B |
------------------------
| C |
------------------------
| D |
------------------------
Result table should look something like this:
-----------------------------------
|ArticleID | GroupID |
-----------------------------------
| 1 | NULL |
-----------------------------------
| 1 | A |
-----------------------------------
| 1 | B |
-----------------------------------
| 1 | C |
-----------------------------------
| 1 | D |
-----------------------------------
| 2 | NULL |
-----------------------------------
| 2 | A |
-----------------------------------
| 2 | B |
-----------------------------------
| 2 | C |
-----------------------------------
| 2 | D |
-----------------------------------
| 3 | NULL |
-----------------------------------
| 3 | A |
-----------------------------------
| 3 | B |
-----------------------------------
| 3 | C |
-----------------------------------
| 3 | D |
-----------------------------------
| 4 | NULL |
-----------------------------------
| 4 | A |
-----------------------------------
| 4 | B |
-----------------------------------
| 4 | C |
-----------------------------------
| 4 | D |
-----------------------------------
Any suggestion how to insert it efficiently?
Thanks a lot for you suggestion.
Regards
This is a cross join between two sets.
with a as (
select * from(values (1),(2),(3),(4))v(ArticleId)
), g as (
select * from(values (null),('A'),('B'),('C'),('D'))v(GroupId)
)
select *
from a cross join g;
To insert into the original table you could do:
with g as (select * from(values('A'),('B'),('C'),('D'))v(GroupId))
insert into t
select t.ArticleId, g.GroupId
from t cross join g;
See Example Fiddle

SQL Query - Add column data from another table adding nulls

I have 2 tables, tableStock and tableParts:
tableStock
+----+----------+-------------+
| ID | Num_Part | Description |
+----+----------+-------------+
| 1 | sr37 | plate |
+----+----------+-------------+
| 2 | sr56 | punch |
+----+----------+-------------+
| 3 | sl30 | crimper |
+----+----------+-------------+
| 4 | mp11 | holder |
+----+----------+-------------+
tableParts
+----+----------+-------+
| ID | Location | Stock |
+----+----------+-------+
| 1 | A | 2 |
+----+----------+-------+
| 3 | B | 5 |
+----+----------+-------+
| 5 | C | 2 |
+----+----------+-------+
| 7 | A | 1 |
+----+----------+-------+
And I just want to do this:
+----+----------+-------------+----------+-------+
| ID | Num_Part | Description | Location | Stock |
+----+----------+-------------+----------+-------+
| 1 | sr37 | plate | A | 2 |
+----+----------+-------------+----------+-------+
| 2 | sr56 | punch | NULL | NULL |
+----+----------+-------------+----------+-------+
| 3 | sl30 | crimper | B | 5 |
+----+----------+-------------+----------+-------+
| 4 | mp11 | holder | NULL | NULL |
+----+----------+-------------+----------+-------+
List ALL the rows of the first table and if the second table has the info, in this case 'location' and 'stock', add to the column, if not, just null.
I have been using inner and left join but some rows of the first table disappear because the lack of data in the second one:
select tableStock.ID, tableStock.Num_Part, tableStock.Description, tableParts.Location, tableParts.Stock from tableStock inner join tableParts on tableStock.ID = tableParts.ID;
What can I do?
You can use left join. Here is the demo.
select
s.ID,
Num_Part,
Description,
Location,
Stock
from Stock s
left join Parts p
on s.ID = p.ID
order by
s.ID
output:
| id | num_part | description | location | stock |
| --- | -------- | ----------- | -------- | ----- |
| 1 | sr37 | plate | A | 2 |
| 2 | sr56 | punch | NULL | NULL |
| 3 | sl30 | crimper | B | 5 |
| 4 | mp11 | holder | NULL | NULL |

How to handle multiple rows fulfilling criteria when joining Oracle tables

Given a table of roles, companies and a employee table where we store for each employee which role he/she has at each company.
I'm trying to create a view which indicates for each combination of role and company and employee by a ‘Y’ or ‘N’ in the “checked_yn” column, whether this employee has this role at this company.
company table
----------------
|ID | name |
-----------------
| 1 | A |
| 2 | B |
-----------------
roles table
-------------
|ID | role |
-------------
| 1 | X |
| 2 | Y |
| 3 | Z |
-------------
employee table
----------------------------------------------
|ID | company_id | role_id | employee_log_id |
---------------------------------------------|
| 1 | 1 | 1 | 1 |
| 2 | 1 | 2 | 1 |
| 3 | 2 | null | 1 |
----------------------------------------------
The desired outcome is this:
EMPLOYEE_ROLES_VW view
------------------------------------------------------------------------
|Id |company_id | role_id | Checked_yn | employee_id | employee_log_id |
|----------------------------------------------------------------------|
| 1 | 1 | 1 | Y | 1 | 1 |
| 2 | 1 | 2 | Y | 2 | 1 |
| 3 | 1 | 3 | N | null | 1 |
| 4 | 2 | 1 | N | null | 1 |
| 5 | 2 | 2 | N | null | 1 |
| 6 | 2 | 3 | N | null | 1 |
------------------------------------------------------------------------
This is my current query:
with ROLES_X_COMP as (SELECT ROL.ID AS X_ROLE_ID,
COM.ID AS X_COMPANY_ID,
FROM ROLES ROL
CROSS JOIN COMPANY COM)
SELECT ROWNUM AS ID,
EMP.ID AS SMCR_EMPLOYEE_ID,
EMP.EMPLOYEE_LOG_ID AS EMPLOYEE_LOG_ID,
ROLES_X_COMP.X_ROLE_ID ,
EMP.ROLE_ID AS ROLE_ID,
ROLES_X_COMP.X_COMPANY_ID,
EMP.COMPANY_ID AS COMPANY_ID,
CASE
WHEN ROLES_X_COMP.X_ROLE_ID = SE.ROLE_ID AND ROLES_X_COMP.X_COMPANY_ID =
SE.COMPANY_ID THEN 'Y'
ELSE 'N' END AS CHECKED_YN
FROM ROLES_X_COMP
LEFT OUTER JOIN EMPLOYEE EMP ON ROLES_X_COMP.X_COMPANY_ID = EMP.COMPANY_ID
Because of the join on EMPLOYEE “finds” the company with id=1 twice it joins twice with the cross join of role and company table. So I'm getting this result:
------------------------------------------------------------------------
|Id |company_id | role_id | Checked_yn | employee_id | employee_log_id |
|----------------------------------------------------------------------|
| 1 | 1 | 1 | Y | 1 | 1 |
| 2 | 1 | 2 | N | 1 | 1 |
| 3 | 1 | 3 | N | 1 | 1 |
| 4 | 1 | 1 | N | 2 | 1 |
| 5 | 1 | 2 | Y | 2 | 1 |
| 6 | 1 | 3 | N | 2 | 1 |
| 7 | 2 | 1 | N | 3 | 1 |
| 8 | 2 | 2 | N | 3 | 1 |
| 9 | 2 | 3 | N | 3 | 1 |
------------------------------------------------------------------------
I think a JOIN might be the wrong option here and a UNION more appropriate but I can't figure it out.
Use a partitioned outer join:
Query:
SELECT ROWNUM AS id,
e.company_id,
r.id AS role_id,
NVL2( e.role_id, 'Y', 'N' ) AS CheckedYN,
e.role_id AS employee_id,
e.employee_log_id
FROM roles r
LEFT OUTER JOIN
employee e
PARTITION BY ( e.company_id, e.employee_log_id )
ON ( r.id = e.role_id )
or (depending on how you want to partition and join the data):
SELECT ROWNUM AS id,
c.id AS company_id,
r.id AS role_id,
NVL2( e.role_id, 'Y', 'N' ) AS CheckedYN,
e.role_id AS employee_id,
e.employee_log_id
FROM roles r
CROSS JOIN
company c
LEFT OUTER JOIN
employee e
PARTITION BY ( e.employee_log_id )
ON ( c.id = e.company_id AND r.id = e.role_id )
Output:
Both output the same for the test data but may give differing results depending on your actual data.
ID | COMPANY_ID | ROLE_ID | CHECKEDYN | EMPLOYEE_ID | EMPLOYEE_LOG_ID
-: | ---------: | ------: | :-------- | ----------: | --------------:
1 | 1 | 1 | Y | 1 | 1
2 | 1 | 2 | Y | 2 | 1
3 | 1 | 3 | N | null | 1
4 | 2 | 1 | N | null | 1
5 | 2 | 2 | N | null | 1
6 | 2 | 3 | N | null | 1
db<>fiddle here
AND ROLES_X_COMP.X_ROLE_ID = EMP.ROLE_ID
Is missing at the end of your query
But the outcome will be
EMPLOYEE_ROLES_VW view
------------------------------------------------------------------------
|Id |company_id | role_id | Checked_yn | employee_id | employee_log_id |
|----------------------------------------------------------------------|
| 1 | 1 | 1 | Y | 1 | 1 |
| 2 | 1 | 2 | Y | 2 | 1 |
| 3 | 1 | 3 | N | null | null |
| 4 | 2 | 1 | N | null | null |
| 5 | 2 | 2 | N | null | null |
| 6 | 2 | 3 | N | null | null |
------------------------------------------------------------------------

Merge columns on two left joins

I have 3 tables as shown:
Video
+----+--------+-----------+
| id | name | videoSize |
+----+--------+-----------+
| 1 | video1 | 1MB |
| 2 | video2 | 2MB |
| 3 | video3 | 3MB |
+----+--------+-----------+
Survey
+----+---------+-----------+
| id | name | questions |
+----+---------+-----------+
| 1 | survey1 | 1 |
| 2 | survey2 | 2 |
| 3 | survey3 | 3 |
+----+---------+-----------+
Sequence
+----+---------+-----------+----------+
| id | videoId | surveyId | sequence |
+----+---------+-----------+----------+
| 1 | null | 1 | 1 |
| 2 | 2 | null | 2 |
| 3 | null | 3 | 3 |
+----+---------+-----------+----------+
I would like to query Sequence and join on both of video and survey tables and merge common columns without specifying the column names (in this case name) like this:
Query Result:
+----+---------+-----------+----------+---------+-----------+-----------+
| id | videoId | surveyId | sequence | name | videoSize | questions |
+----+---------+-----------+----------+---------+-----------+-----------+
| 1 | null | 1 | 1 | survey1 | null | 1 |
| 2 | 2 | null | 2 | video2 | 2MB | null |
| 3 | null | 3 | 3 | survey3 | null | 3 |
+----+---------+-----------+----------+---------+-----------+-----------+
Is this possible?
BTW the below sql doesn't work as it doesn't merge on the name field:
SELECT * FROM "Sequence"
LEFT JOIN "Survey" ON "Survey"."id" = "Sequence"."surveyId"
LEFT JOIN "Video" ON "Video"."id" = "Sequence"."videoId"
This query will show what you want:
select
s.*,
coalesce(y.name, v.name) as name, -- picks the right column
v.videoSize,
y.questions
from sequence s
left join survey y on y.id = s.surveyId
left join video v on v.id = s.videoId
However, the SQL standard requires you to name the columns you want. The only exception being * as shown above.

select from table using sql query

Table
id | name | type | x | y | z | refer
-----+------------+---------------+---------------+-------------+------------------+-----------------
1001 | A | 4 | | | | 0
2000 | B | 2 | -1062731776 | | -65536 | 1001
2001 | C | 2 | 167772160 | | -16777216 | 1001
2002 | D | 2 | -1408237568 | | -1048576 | 1001
I need to select columns name,x,y,z if in refer column it refers to id column
and name must be of that id's name. Is it possible with a single query? can anyone please help
here, output should be:
name| x | y | z
----+-----------------+-------------+-----------------
A | -1062731776 | | -65536
A | 167772160 | | -16777216
A | -1408237568 | | -1048576
SELECT t1.name, t2.x, t2.y, t2.z FROM TABLENAME t1
JOIN TABLENAME t2 on t1.id = t2.refer