Right now I'm doing this:
SELECT * FROM messages WHERE location_id = 7 AND date(date) <= date('now', 'localtime') ORDER BY date,revision LIMIT 1
This gives me the most recent message, with the highest revision #.
How can retrieve all of the most recent messages? If I do:
SELECT * FROM messages WHERE date(date) <= date('now', 'localtime') ORDER BY date,revision
I still get messages with lower revision numbers.
SELECT * FROM messages m1
WHERE date(date) <= date('now', 'localtime')
and revision = (select max(revision) from messages m2 where date(m2.date) = date(m1.date))
and location_id = 7
ORDER BY date,revision
Here's a query that finds the most recent revision per location:
SELECT m1.* FROM messages m1
LEFT OUTER JOIN messages m2
ON (m1.location_id = m2.location_id AND m1.revision < m2.revision)
WHERE m2.location_id IS NULL
ORDER BY date, revision;
Related
I want to query last 24h in my database SQLite. I have 2 rows time example (18:04:56) and date (2020-12-06 ). When I use this query
SELECT name,cdate,ctime, * FROM {table} WHERE cdate >= datetime('now','-1 day') ORDER BY id DESC
I got only last queries in the same day. (LAST QUERY 00:00:46)
How deal with it ?
You should create a datetime value from cdate and ctime to compare with DATETIME('now','-1 day'):
SELECT name, cdate, ctime
FROM {table}
WHERE (cdate || ' ' || ctime) >= DATETIME('now','-1 day')
ORDER BY id DESC
I have a table of transactions in SQLite
number date Category Amount runningBalance
I want the running balance column to have a running sum of the amount column after the table is sorted by Date first and number second.
I can do this with a select when reading. But this table has the potential to get very large and I don't want to recalculate every time. I want to make a trigger where all the transactions following (by date then number) the inserted/edited transaction have their runningBalance value updated.
This will mean that the calculations are reduced... as more recent transactions are likely to be edited more often, and older ones rarely. It also will spread the computation over writes so that reads are near instant.
Can anyone provide assistance on how to set up such a trigger?
so far this is what I have but it does not give desired results. And recalculates all every time. Not just the ones following the change.
CREATE TRIGGER RunningTotal AFTER UPDATE ON Transactions FOR EACH ROW
BEGIN
UPDATE Transactions
SET RunningBalance = (
SELECT (
SELECT sum(Amount)
FROM TopInfo t2
WHERE t2.Date <= t1.Date
)
FROM Transactions t1
);
END;
Thanks!
I've managed to find a way that works. Not sure how efficient it is though. Love to hear if anyone knows a more efficient way to update the Balance column.
CREATE TRIGGER Balance AFTER UPDATE OF Amount ON Transactions FOR EACH ROW
BEGIN
UPDATE Transactions
SET Balance = (
SELECT Balance
FROM (
SELECT TransactionID,
(
SELECT sum(t2.Amount)
FROM Transactions t2
WHERE t2.Date <= t1.Date
ORDER BY Date
)
AS Balance
FROM Transactions t1
WHERE TransactionID = Transactions.TransactionID
ORDER BY Date
)
)
WHERE Transactions.Date >= NEW.Date;
END;
UPDATE:
CREATE TRIGGER Balance AFTER UPDATE OF Amount ON Transactions FOR EACH ROW
BEGIN
UPDATE Transactions
SET Balance = (
SELECT Balance
FROM (
SELECT TransactionID,
(
SELECT sum(t2.Amount)
FROM Transactions t2
WHERE CASE WHEN t2.Date = t1.Date THEN t2.TransactionID <= t1.TransactionID ELSE t2.Date <= t1.Date END
ORDER BY Date,
TransactionID
)
AS Balance
FROM Transactions t1
WHERE TransactionID = Transactions.TransactionID
ORDER BY Date,
TransactionID
)
)
WHERE Transactions.Date >= NEW.Date;
END;
I've Done Some more with running total and have come up with 2 ways. The second is much slower than the first. Any ideas why???
method 1
SELECT TransactionID,Date, Account, Amount,
(SELECT sum(t2.Amount)
FROM Transactions t2
WHERE
CASE WHEN t2.Date = t1.Date
THEN t2.TransactionID <= t1.TransactionID
AND t2.Account == t1.Account
ELSE t2.Date <= t1.Date
AND t2.Account == t1.Account
END
ORDER BY Date, TransactionID)
AS Balance
FROM Transactions t1
ORDER BY Date, TransactionID
Method2
SELECT n.TransactionID, n.Date, n.Account, n.Amount,
SUM(o.Amount) As running_total
FROM Transactions n LEFT JOIN Transactions o
ON (
CASE WHEN o.Date = n.Date
THEN n.TransactionID >= o.TransactionID
AND o.Account == n.Account
ELSE n.Date >= o.Date
AND o.Account == n.Account
END
)
GROUP BY n.Account, n.Date, n.TransactionID
ORDER BY n.Date, n.TransactionID;
I can't get the following query to work:
UPDATE ISSUE
SET DUE_DATE = DATE(ISSUE.DATE_ADDED,'+90 day')
JOIN CVE on CVE.CVE_ID = ISSUE.CVE_ID
WHERE CVE.CVSS >= 4 AND CVE.CVSS < 9
This is because in sqlite3 you can't join in an UPDATE. What I'm trying to do is set the due date of an issue to be 90 days after the date added if the CVE associated with the issue is: greater than or equal to four and less than 9. Is there an alternative option that I'm missing here?
You can join the rows in a sub-query.
UPDATE ISSUE
SET DUE_DATE = DATE(ISSUE.DATE_ADDED,'+90 day')
WHERE ISSUE.CVE_ID IN (
SELECT ISSUE.CVE_ID
FROM ISSUE JOIN CVE on CVE.CVE_ID = ISSUE.CVE_ID
WHERE CVE.CVSS >= 4 AND CVE.CVSS < 9
)
If I query:
select max(date_created) date_created
on a datefield in PL/SQL (Oracle 11g), and there are records that were created on the same date but at different times, Max() returns only the latest times on that date. What I would like to do is have the times be ignored and return ALL records that match the max date, regardless of their associated timestamp in that column. What is the best practice for doing this?
Edit: what I'm looking to do is return all records for the most recent date that matches my criteria, regardless of varying timestamps for that day. Below is what I'm doing now and it only returns records from the latest date AND time on that date.
SELECT r."ID",
r."DATE_CREATED"
FROM schema.survey_response r
JOIN
(SELECT S.CUSTOMERID ,
MAX (S.DATE_CREATED) date_created
FROM schema.SURVEY_RESPONSE s
WHERE S.CATEGORY IN ('Yellow', 'Blue','Green')
GROUP BY CUSTOMERID
) recs
ON R.CUSTOMERID = recs.CUSTOMERID
AND R.DATE_CREATED = recs.date_created
WHERE R.CATEGORY IN ('Yellow', 'Blue','Green')
Final Edit: Got it working via the query below.
SELECT r."ID",
r."DATE_CREATED"
FROM schema.survey_response r
JOIN
(SELECT S.CUSTOMERID ,
MAX (trunc(S.DATE_CREATED)) date_created
FROM schema.SURVEY_RESPONSE s
WHERE S.CATEGORY IN ('Yellow', 'Blue','Green')
GROUP BY CUSTOMERID
) recs
ON R.CUSTOMERID = recs.CUSTOMERID
AND trunc(R.DATE_CREATED) = recs.date_created
WHERE R.CATEGORY IN ('Yellow', 'Blue','Green')
In Oracle, you can get the latest date ignoring the time
SELECT max( trunc( date_created ) ) date_created
FROM your_table
You can get all rows that have the latest date ignoring the time in a couple of ways. Using analytic functions (preferrable)
SELECT *
FROM (SELECT a.*,
rank() over (order by trunc(date_created) desc) rnk
FROM your_table a)
WHERE rnk = 1
or the more conventional but less efficient
SELECT *
FROM your_table
WHERE trunc(date_created) = (SELECT max( trunc(date_created) )
FROM your_table)
I want to compare two results
one is stored in the first query, and the other is exactly the same as the first, but i want only to recieve data < today
"SELECT s.GSP_nom as nom, timestamp, COUNT(s.GSP_nom) as nb_votes, AVG(v.vote+v.prix+v.serviceClient+v.interface+v.interface+v.services)/6 as moy
FROM votes_serveur AS v
INNER JOIN serveur AS s ON v.idServ = s.idServ
WHERE s.valide = 1
AND v.date < CURDATE()
GROUP BY s.GSP_nom
HAVING nb_votes > 9
ORDER BY moy DESC LIMIT 0,15";
is that correct ?
thank you
GROUP BY, not ROUP BY
v.date < CURDATE() looks o.k.