I am trying to add two values or get sum of two values and show it under one Exchange Name. Data below:
Table
--------------------------------------------------
EXCHANGE NAME CODE TURNOVER TRADEDATE
PARIS PA 12 14-NOV-2019
SWISS SW 14 14-NOV-2019
NULL SA 2 14-NOV-2019
NULL MI 2 14-NOV-2019
MILAN MI_1 3 14-NOV-2019
My Query
----------------------------------------------------
SELECT CE.EXCHANGE_NAME, sum(CE.TURNOVER)
FROM CE
WHERE CE.tradedate = '14-NOV-2019'
GROUP BY CE.EXCHANGE_NAME
Result
-----------------------------------------------------
EXCHANGE NAME SUM
PARIS 12
SWISS 14
MILAN 3
What I would like to achieve is that the total for SWISS to be 16 and MILAN to be 5 as MI belongs to MILAN also. There are NULL Values for EXCHANGE NAME but they belong to a certain exchange (Swiss in this case and Milan) i.e. code SA belongs to SWISS and MI belongs to MILAN.
How can I accommodate this in my query for situation like SWISS and MILAN where I know which code belongs to EXCHANGE_NAME?
Many thanks
You can use COALESCE():
SELECT COALESCE(CE.EXCHANGE_NAME, 'SWISS') as EXCHANGE_NAME, SUM(CE.TURNOVER)
FROM CE
WHERE CE.tradedate = '14-NOV-2019'
GROUP BY COALESCE(CE.EXCHANGE_NAME, 'SWISS');
As a note: I like the use of DATE for date constants:
WHERE CE.tradedate = DATE '2019-11-14'
This allows the use of ISO standard date formatting.
EDIT:
Use a CASE expression:
SELECT (CASE WHEN CE.CODE = 'SA' THEN 'SWISS'
WHEN CE.CODE = 'MI_1' THEN 'MILAN'
ELSE CE.EXCHANGE_NAME
END) as EXCHANGE_NAME,
SUM(CE.TURNOVER)
FROM CE
WHERE CE.tradedate = DATE '2019-11-14'
GROUP BY (CASE WHEN CE.CODE = 'SA' THEN 'SWISS'
WHEN CE.CODE = 'MI_1' THEN 'MILAN'
ELSE CE.EXCHANGE_NAME
END);
To me, it looks like you have to create a mapping table which will map codes to exchange names:
SQL> create table exmap
2 (exchange_name varchar2(20),
3 code varchar2(10));
Table created.
SQL> insert into exmap
2 select 'PARIS', 'PA' from dual union all
3 select 'SWISS', 'SW' from dual union all
4 select 'SWISS', 'SA' from dual union all
5 select 'MILAN', 'MI' from dual union all
6 select 'MILAN', 'MI_1' from dual;
5 rows created.
SQL>
Now, with date in the CE table (the one you posted), you'd join those two tables:
SQL> select e.exchange_name,
2 sum(c.turnover) sum_turnover
3 from ce c join exmap e on e.code = c.code
4 group by e.exchange_name;
EXCHANGE_NAME SUM_TURNOVER
-------------------- ------------
PARIS 12
MILAN 5
SWISS 16
SQL>
Why such an approach? Because sooner or later you'll add something like this to the CE table (so PARIS will now be 20):
SQL> insert into ce values ('PARIS', 'PR', 8);
1 row created.
Now, if you choose to maintain the mapping within the code, you'll have to fix it everywhere, in all your stored procedures, reports, forms ... whatever uses that table, and add yet another CASE, e.g.
case when code in ('PA', 'PR') then 'PARIS'
... ^^^^
this
That might drive you mad. But, if you simply add it to the mapping table:
SQL> insert into exmap values ('PARIS', 'PR');
1 row created.
the "old" join query will work without any further action:
SQL> select e.exchange_name,
2 sum(c.turnover) sum_turnover
3 from ce c join exmap e on e.code = c.code
4 group by e.exchange_name;
EXCHANGE_NAME SUM_TURNOVER
-------------------- ------------
PARIS 20
MILAN 5
SWISS 16
SQL>
You can use COALESCE() to turn NULL values of EXCHANGE_NAME to 'SWISS':
SELECT COALESCE(CE.EXCHANGE_NAME, 'SWISS'), sum(CE.TURNOVER)
FROM CE
WHERE CE.tradedate = '14-NOV-2019'
GROUP BY COALESCE(CE.EXCHANGE_NAME, 'SWISS')
Edit: you can use handy Oracle function decode() to map the code to a default EXCHANGE_NAME:
SELECT
COALESCE(
CE.EXCHANGE_NAME,
DECODE(CE.CODE, 'SA', 'SWISS', 'MI_1', 'MILAN')
) EXCHANGE,
SUM(CE.TURNOVER)
FROM CE
WHERE CE.tradedate = '14-NOV-2019'
GROUP BY COALESCE(
CE.EXCHANGE_NAME,
DECODE(CE.CODE, 'SA', 'SWISS', 'MI_1', 'MILAN')
)
You can expand the DECODE() argument as needed for your use case.
I have a table similar to this:
stud_ID | first_name | last_name | email | col_num | user_value
1 tom smith 50 Retail
1 tom smith 60 Product
2 Sam wright 50 Retail
2 Sam wright 60 Sale
but need to convert it to: (basically transpose 'col_num' to column headers and change 50 to function, 60 to department)
stud_ID | first_name | last_name | email | Function | Department
1 tom smith Retail Product
2 Sam wright Retail Sale
Unfortunately Pivot doesn't work in my system, just wondering if there is any other way to do this please?
The code that I have so far (sorry for the long list):
SELECT c.person_id_external as stu_id,
c.lname,
c.fname,
c.mi,
a.cpnt_id,
a.cpnt_typ_id,
a.rev_dte,
a.rev_num,
cp.cpnt_title AS cpnt_desc,
a.compl_dte,
a.CMPL_STAT_ID,
b.cmpl_stat_desc,
b.PROVIDE_CRDT,
b.INITIATE_LEVEL1_SURVEY,
b.INITIATE_LEVEL3_SURVEY,
a.SCHD_ID,
a.TOTAL_HRS,
a.CREDIT_HRS,
a.CPE_HRS,
a.CONTACT_HRS,
a.TUITION,
a.INST_NAME,
--a.COMMENTS,
a.BASE_STUD_ID,
a.BASE_CPNT_TYP_ID,
a.BASE_CPNT_ID,
a.BASE_REV_DTE,
a.BASE_CMPL_STAT_ID,
a.BASE_COMPL_DTE,
a.ES_USER_NAME,
a.INTERNAL,
a.GRADE_OPT,
a.GRADE,
a.PMT_ORDER_TICKET_NO,
a.TICKET_SEQUENCE,
a.ORDER_ITEM_ID,
a.ESIG_MESSAGE,
a.ESIG_MEANING_CODE_ID,
a.ESIG_MEANING_CODE_DESC,
a.CPNT_KEY,
a.CURRENCY_CODE,
c.EMP_STAT_ID,
c.EMP_TYP_ID,
c.JL_ID,
c.JP_ID,
c.TARGET_JP_ID,
c.JOB_TITLE,
c.DMN_ID,
c.ORG_ID,
c.REGION_ID,
c.CO_ID,
c.NOTACTIVE,
c.ADDR,
c.CITY,
c.STATE,
c.POSTAL,
c.CNTRY,
c.SUPER,
c.COACH_STUD_ID,
c.HIRE_DTE,
c.TERM_DTE,
c.EMAIL_ADDR,
c.RESUME_LOCN,
c.COMMENTS,
c.SHIPPING_NAME,
c.SHIPPING_CONTACT_NAME,
c.SHIPPING_ADDR,
c.SHIPPING_ADDR1,
c.SHIPPING_CITY,
c.SHIPPING_STATE,
c.SHIPPING_POSTAL,
c.SHIPPING_CNTRY,
c.SHIPPING_PHON_NUM,
c.SHIPPING_FAX_NUM,
c.SHIPPING_EMAIL_ADDR,
c.STUD_PSWD,
c.PIN,
c.PIN_DATE,
c.ENCRYPTED,
c.HAS_ACCESS,
c.BILLING_NAME,
c.BILLING_CONTACT_NAME,
c.BILLING_ADDR,
c.BILLING_ADDR1,
c.BILLING_CITY,
c.BILLING_STATE,
c.BILLING_POSTAL,
c.BILLING_CNTRY,
c.BILLING_PHON_NUM,
c.BILLING_FAX_NUM,
c.BILLING_EMAIL_ADDR,
c.SELF_REGISTRATION,
c.SELF_REGISTRATION_DATE,
c.ACCESS_TO_ORG_FIN_ACT,
c.NOTIFY_DEV_PLAN_ITEM_ADD,
c.NOTIFY_DEV_PLAN_ITEM_MOD,
c.NOTIFY_DEV_PLAN_ITEM_REMOVE,
c.NOTIFY_WHEN_SUB_ITEM_COMPLETE,
c.NOTIFY_WHEN_SUB_ITEM_FAILURE,
c.LOCKED,
c.PASSWORD_EXP_DATE,
c.SECURITY_QUESTION,
c.SECURITY_ANSWER,
c.ROLE_ID,
c.IMAGE_ID,
c.GENDER,
c.PAST_SERVICE,
c.LST_UNLOCK_TSTMP,
c.MANAGE_SUB_SP,
c.MANAGE_OWN_SP,
d.col_num,
d.user_value
FROM pa_cpnt_evthst a,
pa_cmpl_stat b,
pa_student c,
pv_course cp,
pa_stud_user d
WHERE a.cmpl_stat_id = b.cmpl_stat_id
AND a.stud_id = c.stud_id
AND cp.cpnt_typ_id(+) = a.cpnt_typ_id
AND cp.cpnt_id(+) = a.cpnt_id
AND cp.rev_dte(+) = a.rev_dte
AND a.CPNT_TYP_ID != 'SYSTEM_PROGRAM_ENTITY'
AND c.stud_id = d.stud_id
AND d.col_num in ('10','30','50','60')
I would just use conditional aggregation:
select stud_ID, first_name, last_name, email,
max(case when col_num = 50 then user_value end) as function,
max(case when col_num = 60 then user_value end) as department
from t
group by stud_ID, first_name, last_name, email;
Your code seems to have nothing to do with the sample data. I do notice however that you are using implicit join syntax. You really need to learn how to use proper, explicit, standard JOIN syntax.
I'm assuming you have Sql Server 2000 or 2003. What you need to do in that case is create a script with one cursor.
This cursor will create a text with something like this:
string var = "CREATE TABLE #Report (Col1 VARCHAR(20), Col2, VARCHAR(20), " + ColumnName
That way you can create a temp table on the fly, at the end you will need to do a Select of your temp table to get your pivot table ready.
Its not that easy if you are not familiar with cursors.
OR
if there are only few values on your 'pivot' column and they are not going to grow you can also do something like this:
Pivot using SQL Server 2000
I'm unable to understand your code, so I'll just assume the table mentioned in the sample data as stud(because of stud_id).
So here is what I think can do the work of pivot.
SELECT ISNULL(s1.stud_ID, s2.stud_id),
ISNULL(s1.first_name, s2.first_name),
ISNULL(s1.last_name, s2.last_name),
ISNULL(s1.email, s2.email),
s1.user_value as [Function], s2.user_value as Department
FROM stud s1 OUTER JOIN stud s2
ON s1.stud_ID = s2.stud_ID -- Assuming stud_ID is primary key, else join on all primary keys
AND s1.col_num = 50 AND s2.col_num = 60
Explanation: I'm just trying to simulate here what PIVOT does. For every column you want, you create a new table in the JOIN and constaint it to only one value in your col_num column. For example, if there are no values for 50 in s1, the OUTER JOIN will get make it NULL and we need to pull records from s2.
Note: If you need more than 2 new columns, then you can use COALESCE instead of ISNULL
Say I have a table A that contains a list of a potential employees ID's and their professional skills in the form of a skill code:
ID | skill code
005 12
005 3
007 42
007 8
013 6
013 22
013 18
And I have another table B that lists several job position ID's and their corresponding required skill ID's:
Job ID | skill code
1 3
1 32
1 21
1 44
2 15
2 62
.
.
.
How can I find out which Job Id's a specific person is qualified for? I need to select all Job Id's that contain all the person's skills. Say for instance I need to find all job ID's that employee ID 003 is qualified for, how would I structure an Oracle SQL query to get this information?
I want to be able to enter any employee ID in a WHERE clause to find what jobs that person is qualified for.
An idea would be to count the number of skills for every person and job:
SELECT A.id as person_id,
B.JOB_ID
FROM A
JOIN B
ON A.skill_code=B.skill_code
GROUP BY a.id, b.job_id
HAVING count(*) = (select count(*) from b b2 where b2.job_id = b.job_id);
Not tested and assuming that tables are well normalized.
UPDATE after the OP's comment.
It is asked for all the jobs which necessitate all skills of a person:
SELECT A.id as person_id,
B.JOB_ID
FROM A
JOIN B
ON A.skill_code=B.skill_code
GROUP BY a.id, b.job_id
HAVING count(*) = (select count(*) from a a2 where a2.job_id = b.job_id);
Update2: The question was updated with:
I want to be able to enter any employee ID in a WHERE clause to find what jobs that person is qualified for.
For this, you just add WHERE a.id = :emp_id to the first query. (above group by)
Try this one
WITH b1 AS
(SELECT job_id,
skill,
COUNT(*) over (partition BY job_id order by job_id) rr
FROM b
) ,
res1 AS
(SELECT a.id,
b1.job_id,
rr,
COUNT(*) over (partition BY id, job_id order by id) rr2
FROM A
JOIN B1
ON A.skill=B1.skill
)
SELECT id, job_id FROM res1 WHERE rr=rr2
Please have a look at this. The result shows, indeed, a join of two sets. I want the output as following i.e. No Cartesian Product.
ID_1 TYPE_1 NAME_1 ID_2 TYPE_2 NAME_2
===============================================================
TP001 1 Adam Smith TV001 2 Leon Crowell
TP002 1 Ben Conrad TV002 2 Chris Hobbs
TP003 1 Lively Jonathan
I used one of the solution, join, known to me to select rows as columns but i need results in required format while join is not mandatory.
You need an artificial column as id. Use rownum for that on both types of teachers.
Because you do not know if there are more Teachers of type 1 or of Type 2, you must do a full outer join to combine both sets.
SELECT *
FROM (SELECT ROWNUM AS cnt, teacherid
, teachertype, teachername
FROM teachers
WHERE teachertype = 1) qry1
FULL OUTER JOIN (SELECT ROWNUM AS cnt, teacherid
, teachertype, teachername
FROM teachers
WHERE teachertype = 2) qry2
ON qry1.cnt = qry2.cnt
In general, databases think in rows, not in columns. In your example you are lucky - you only have two types of teachers. For every new type of teacher you would have to alter your statement and append a full outer join only to present the output of your query in a special way - one set per column.
But with a simple select you retrive the same Information and it will work regardless how many teacher types you have.
SQL is somewhat limited in presenting data, i would leave that to the client retriving the data or use PL/SQL for a more generic aproach.
There should be some constraint of keys on which you join table or tables. If there is no constraint it will always result in Cartesian Product i.e number of rows of first table x numbers of rows of second table
SELECT TONE.TEACHERID ID_1, TONE.TEACHERTYPE TYPE_1, TONE.TEACHERNAME NAME_1
,TTWO.TEACHERID ID_2, TTWO.TEACHERTYPE TYPE_2, TTWO.TEACHERNAME NAME_2
FROM
(SELECT TEACHERID, TEACHERTYPE, TEACHERNAME FROM TEACHERS WHERE TEACHERTYPE = 1)
TONE
FULL OUTER JOIN
(SELECT TEACHERID, TEACHERTYPE, TEACHERNAME FROM TEACHERS WHERE TEACHERTYPE = 2)
TTWO
ON TONE.TEACHERID = REPLACE(TTWO.TEACHERID,'TV','TP');
ID_1 TYPE_1 NAME_1 ID_2 TYPE_2 NAME_2
===== ====== ====== ====== ====== ======
TP001 1 Adam Smith TV001 2 Leon Crowell
TP002 1 Ben Conrad TV002 2 Chris Hobbs
TP003 1 Lively Jonathan (null) (null) (null)
http://www.sqlfiddle.com/#!4/c58f3/28
I am trying to set up a query to return data to a VB.Net datagrid. I want to rollup the results into a new column kinda like below:
For example on Match-no:
Date Sponsor Match_no Team
---------------------------------------
1-1-11 Nike 1 Tigers
1-1-11 Nike 1 Bears
2-1-11 Crisco 2 Llamas
2-1-11 Crisco 2 Tigers
Roll it up into a new column.
Date Sponsor Match_no Teams_playing
---------------------------------------------------
1-1-11 Nike 1 Tigers vs Bears
2-1-11 Crisco 2 Llamas vs Tigers
I tried using "group_concat" but for some reason it rolled up the entire list on teams into a column regardless of match_no.
In this example there would be 4 tables :
Dates Sponsors Match Team
------ -------- ------- --------
Date_id Sponsor_id Match_id Team_id
Date Sponsor_name Match_no Team_name
Sponsor_id Match_id
Try:
SELECT m.date,
m.sponsor,
m.match_no,
GROUP_CONCAT(m.team, SEPARATOR ' vs ')
FROM MATCH_NO m
GROUP BY m.date, m.sponsor, m.match_no
Your table structure looks suspicious. Dates has no correspondence to Match. Team should be in a separate table with a bridge:
match_team
-----------
match_id
team_id
Or if there are only ever going to be two teams per match, then just
match
---------
match_id
Match_no
sponsor_id
date_id
team_id_a
team_id_b
Normally, one would not create a date table with just id and date, e.g. it doesn't help indexing or searching on the Match table by date.
For your original question, the query would be
select d.date, s.sponsor_name, m.match_no,
group_concat(teams_playing separator ' vs ') Teams_playing
from match m
inner join dates d on d.date_id = m.date_id
inner join sponsors s on s.sponsor_id = m.sponsor_id
inner join team t on t.match_id = m.match_id
group by m.match_id, d.date, s.sponsor_name, m.match_no
Ref: GROUP_CONCAT