I am fetching data from SQLite database using following query:
SELECT p.sent,
e.*,
e.no _id
FROM ecare e
LEFT OUTER JOIN pweb p ON e.h_id = p.h_id
WHERE (ant = 'N' or ant = 'D')
GROUP BY e.h_id
ORDER BY p.sent
By using the above SQLite query, I am getting all the records belonging to sent (where sent = 1 and sent = 0).
Now, I would like to get only those records from database, where sent status is sent = 0. (In short, I don't want to fetch all the records belonging to sent, or records where sent = 1).
Have you tried with below query ?
SELECT p.sent,e.*, e.no _id from ecare e LEFT JOIN pweb p ON
e.h_id=p.h_id WHERE (ant = 'N' or ant = 'D') AND p.sent = '0' GROUP
BY e.h_id
Check below query for your question:
return db.rawQuery("SELECT p.sent,e.*, e.no _id from ecare e LEFT OUTER JOIN pweb p ON e.h_id=p.h_id WHERE (ant = 'N' or ant = 'D') AND p.sent = '1' GROUP BY e.h_id ORDER BY p.sent ", null);
You are already filtering on the ant column.
Adding a filter for sent works the same way:
SELECT ...
...
WHERE (ant = 'N' OR ant = 'D')
AND sent = 0
...
Related
We are working on PeopleSoft ELM 9.2 and I'm not finding what I need in any of the OOB queries so I'm attempting to build one. We need to get a "First Time Pass Rate" score, or the average of how many people pass a learning course on their first try. Ideally we would have the data for each attempt so that we could also see how many attempts a particular person or course has prior to getting a passing score.
Our setup includes SCORM 1.2 modules that pass off a score to the LMS for verification that a passing score was received. The closest I've been able to come so far is to get a "Pass/Fail" score but either my query unions are incorrect or the data is incorrect as it returns extraneous data that is not relevant to the other data returned or (if I force distinct values) it returns sporadically accurate data. Below is the SQL that I'm using if it helps.
Has anyone tried to build this kind of query before and how did you do it? :)
SELECT DISTINCT D1X.XLATLONGNAME, D.LM_ORGANIZATION_ID, D.LM_ORG_DESCR,
D.LM_HR_EMPLID, TO_CHAR(D.LM_HIRE_DT,'YYYY-MM-DD'), D.FIRST_NAME,
D.LAST_NAME, C.LM_CS_LONG_NM, C.LM_ACT_CD, A.LM_LC_LONG_NM, A.LM_LC_ID,
B12X.XLATLONGNAME, TO_CHAR(B.LM_COMPL_DT,'YYYY-MM-DD'), B.LM_ENRLMT_ID,
E15X.XLATLONGNAME
FROM PS_LM_LC A, PS_LM_ENRLMT B LEFT OUTER JOIN PSXLATITEM B12X ON
B12X.FIELDNAME='LM_STTS' AND B12X.FIELDVALUE=B.LM_STTS AND B12X.EFF_STATUS =
'A' AND B12X.EFFDT = (SELECT MAX(EFFDT) FROM PSXLATITEM TB WHERE
TB.FIELDNAME=B12X.FIELDNAME AND TB.FIELDVALUE=B12X.FIELDVALUE AND
TB.EFF_STATUS = 'A' AND TB.EFFDT <= TO_DATE(TO_CHAR(SYSDATE,'YYYY-MM-
DD'),'YYYY-MM-DD') ), PS_LM_ACT_CI_VW C, PS_LM_PERS_DTL_VW D LEFT OUTER JOIN
PSXLATITEM D1X ON D1X.FIELDNAME='LM_ACTIVE' AND D1X.FIELDVALUE=D.LM_ACTIVE
AND D1X.EFF_STATUS = 'A' AND D1X.EFFDT = (SELECT MAX(EFFDT) FROM PSXLATITEM
TB WHERE TB.FIELDNAME=D1X.FIELDNAME AND TB.FIELDVALUE=D1X.FIELDVALUE AND
TB.EFF_STATUS = 'A' AND TB.EFFDT <= TO_DATE(TO_CHAR(SYSDATE,'YYYY-MM-
DD'),'YYYY-MM-DD') ), PS_LM_ENR_LC_BL_VW E LEFT OUTER JOIN PSXLATITEM E15X
ON E15X.FIELDNAME='LM_PASS_STTS' AND E15X.FIELDVALUE=E.LM_PASS_STTS AND
E15X.EFF_STATUS = 'A' AND E15X.EFFDT = (SELECT MAX(EFFDT) FROM PSXLATITEM TB
WHERE TB.FIELDNAME=E15X.FIELDNAME AND TB.FIELDVALUE=E15X.FIELDVALUE AND
TB.EFF_STATUS = 'A' AND TB.EFFDT <= TO_DATE(TO_CHAR(SYSDATE,'YYYY-MM-
DD'),'YYYY-MM-DD') )
WHERE ( A.LM_ACT_ID = B.LM_ACT_ID
AND A.LM_ACT_ID = C.LM_ACT_ID
AND D.LM_PERSON_ID = B.LM_PERSON_ID
AND D.BUSINESS_UNIT IN ('00340','00235')
AND B.LM_ENRL_DT BETWEEN TO_DATE(:1,'YYYY-MM-DD') AND TO_DATE(:2,'YYYY-MM-DD')
AND D.LM_HR_EMPLID = :3
AND D.LM_ACTIVE = :4
AND B.LM_STTS = 'COMP'
AND A.LM_LC_ID = E.LM_LC_ID
AND E.LM_PASS_STTS IN ('FAIL','PASS'))
UPDATE STG_ABS_DSD_RECEIPTS_PI_WRK1 A
SET
(
RECEIPT_HEADER_KEY,
ORIG_ACNTNG_EFF_DATE,
GL_DEPT_ID,
RECEIPT_DATE,
RECEIPT_TIME,
TOTAL_INVOICE_COST_HDR,
SUM_EXTENDED_COST_AMT
) =
(SELECT
HDR_RECEIPT_HEADER_KEY,
HDR_ORIG_ACNTNG_EFF_DATE,
HDR_GL_DEPT_ID,
HDR_RECEIPT_DATE,
HDR_RECEIPT_TIME,
HDR_SUM_TOTAL_INVOICE_COST,
PIEDW_EXTENDED_COST_AMT
FROM
STG_ABS_DSD_RECEIPTS_PI_WRK4 B
WHERE
A.SUPPLIER_KEY = B.PIEDW_SUPPLIER_KEY
AND
A.STORE_KEY = B.PIEDW_STORE_KEY
AND
RTRIM(LTRIM(A.SUPPLIER_INVOICE_NBR,0)) = RTRIM(LTRIM(B.PIEDW_SUPPLIER_INVOICE_NBR,0))
AND
TO_DATE(A.PIEDW_INV_TRAN_DATE,'YYYYMMDD') = B.PIEDW_INVOICE_DATE
AND
B.HDR_FOUND_FLAG IN ('N', 'MY'))
WHERE EXISTS
(SELECT 1 FROM STG_ABS_DSD_RECEIPTS_PI_WRK4 B
WHERE
A.SUPPLIER_KEY = B.PIEDW_SUPPLIER_KEY
AND
A.STORE_KEY = B.PIEDW_STORE_KEY
AND
RTRIM(LTRIM(A.SUPPLIER_INVOICE_NBR,0)) = RTRIM(LTRIM(B.PIEDW_SUPPLIER_INVOICE_NBR,0))
AND
TO_DATE(A.PIEDW_INV_TRAN_DATE,'YYYYMMDD') = B.PIEDW_INVOICE_DATE
AND
B.HDR_FOUND_FLAG IN ('N', 'MY'));
You should ensure that the subquery only returns the row that you want by providing the correct joins from the table you are updating, or if you just want one row out of many that might be returned then use "WHERE ROWNUM = 1" (or a LIMIT clause in other RDBMSs or Oracle 12c)
I want to add data to table STATISTICS using INSERT statements.
I also want to move new counts to old counts and new date to old date as the new data comes in.
This is where it gets lil tricky because I don't know if there is such a thing as INSERT INTO table with SET in Oracle.
INSERT INTO STATISTICS
SET
MODEL = '&MY_MODEL',
NEW_COUNT =
(
SELECT COUNT(*)
FROM TABLE CLIENTS
),
NEW_DATE = SYSDATE,
OLD_COUNT = NEW_COUNT,
OLD_DATE = NEW_DATE,
PRNCT_CHANGE = ((NEW_COUNT) - (OLD_COUNT)) / (NEW_COUNT)*100
);
How do I accomplish this in Oracle?
This should upsert statistics, adding new ones as you go. It presumes a unique key on MODEL; if that's not true, then you'd have to do inserts as Angelina said, getting only the most recent row for a single MODEL entry.
MERGE INTO STATISTICS tgt
using (SELECT '&MY_MODEL' AS MODEL,
(SELECT COUNT(*) FROM CLIENTS) AS NEW_COUNT,
SYSDATE AS DATE_COUNT,
NULL AS OLD_COUNT,
NULL OLD_DATE,
NULL AS PRCNT_CHANGE
FROM DUAL) src
on (TGT.MODEL = SRC.MODEL)
WHEN MATCHED THEN UPDATE
SET TGT.NEW_COUNT = SRC.NEW_COUNT,
TGT.NEW_DATE = SRC.NEW_DATE,
TGT.OLD_COUNT = TGT.NEW_COUNT,
TGT.OLD_DATE = TGT.NEW_DATE,
TGT.PRCNT_CHG = 100 * (SRC.NEW_COUNT - TGT.NEW_COUNT) / (SRC.NEW_COUNT)
-- NEEDS DIV0/NULL CHECKING
WHEN NOT MATCHED THEN INSERT
(MODEL, NEW_COUNT, NEWDATE, OLD_COUNT, OLD_DATE, PRCNT_CHANGE)
VALUES
(src.MODEL, src.NEW_COUNT, src.NEWDATE, src.OLD_COUNT, src.OLD_DATE, src.PRCNT_CHANGE);
INSERT INTO STATISTICS(MODEL,NEW_COUNT,NEW_DATE,OLD_COUNT,OLD_DATE,PRNCT_CHANGE)
SELECT MODEL,
( SELECT COUNT(*)
FROM TABLE(USERS)
),
SYSDATE,
NEW_COUNT,
NEW_DATE,
(((NEW_COUNT) - (OLD_COUNT)) / (NEW_COUNT)*100)
FROM SEMANTIC.COUNT_STATISTICS
WHERE MODEL = '&MY_MODEL'
AND trunc(NEW_DATE) = trunc(NEW_DATE -1)
;
I need to select data from four tables based on only one.
In my 'calculated' table, I have all the records I need.
But I need to retrieve some other info for each record, from 'programs', 'term' and 'imported' tables.
'calculated' has ID from 'programs'.
But, to achieve a record from 'imported', I need to join the 'item' table, because 'item' has ID from 'programs' and from 'imported'.
'term' has ID from 'imported'.
So, I tried this:
select c.date,
p.name,
c.name1,
c.name2,
t.date,
i.version,
c.price1,
c.price2,
c.price3
from calculated c, programs p, term t, imported i, item it
where c.programs_id = p.programs_id
and c.programs_id = it.programs_id
and it.imported_id = i.imported_id
and i.term_id = t.term_id;
But when I use count(*) on 'calculated', I get 30k of records, and from my select statement I get more than 130 millions of records.
What am I doing wrong?
What should I do for this to work?
If all duplicates rows are equivalent, u can try smth like this
select c.date,
p.name,
c.name1,
c.name2,
t.date,
i.version,
c.price1,
c.price2,
c.price3
from calculated c, programs p, term t, imported i
where c.programs_id = p.programs_id and
(select imported_id from item it where c.programs_id = it.programs_id and rownum = 1) = i.imported_id
and i.term_id = t.term_id;
where "rownum = 1" is restriction on the selection of one line for oracle.
you forgot to join term table.
Probably you need to add
and t.term_id = i.term_id
I'm having difficulty with a query which displays records according to their fill rate.
For instance, a vacancy can have no bookings or some bookings. If a vacancy has bookings, they can be in the form of 'active [1]', 'pending [0]'. The query I have written so far works if the vacancy has booking records but I can't get it to work if it doesn't have booking records.
My query (which works) for vacancies with a booking is as follows:-
SELECT v.*, j.job_category_name, bu.business_unit_name
FROM vacancy v
INNER JOIN job_category j ON j.job_category_id = v.job_category_id
INNER JOIN business_unit bu ON bu.business_unit_id = v.business_unit_id
INNER JOIN booking b ON b.vacancy_id = v.vacancy_id
INNER JOIN booking_status bs ON bs.id = b.booking_status_id
WHERE
v.vacancy_status <> 'revoked' AND
v.vacancy_reference <> 'auto-generated booking' AND
v.business_unit_id IN (series of primary keys) AND
(bs.booking_status_type_id = 1 OR bs.booking_status_type_id = 2)
GROUP BY v.vacancy_id
HAVING v.vacancy_limit > count(b.booking_id)
ORDER BY v.vacancy_id DESC
I thought by changing the join of b and bs to LEFT JOIN would have worked, but it hasn't.
Any ideas?
Without a copy of your schema to work from, it's difficult to tell exactly, but when you changed booking and bookingstatus to LEFT JOINs, did you also modify your WHERE clause so that it read something like:
WHERE
v.vacancy_status <> 'revoked' AND
v.vacancy_reference <> 'auto-generated booking' AND
v.business_unit_id IN (series of primary keys) AND
(ISNULL(bs.booking_status_type_id, 1) = 1 OR ISNULL(bs.booking_status_type_id, 2) = 2)
i.e. Ensured that the full WHERE clause would be satisfied, thus not stripping out the records where all the values for columns from booking and bookingstatus were NULL?
Try LEFT OUTER JOIN for the tables for which the joins may return 0 matches.
For eg:- in your case have LEFT OUTER JOIN for b and bs and check