I have a question: what is the right way to use a CASE statement in the ON clause of a JOIN?
(I saw a couple of similar questions had been asked by others, but I don't see how to replicate the solutions in my scenario.)
I try to connect 2 instances of the same table (self join).
The table contains a balance value of each customer for each day (row per customer per day, each customer appears multiple times- since the first day of his activity and till he/she closes the account)
For each customer i need to find what is the balance today and in another column - what was the balance on the "base date". The default for the base date is the 31 -dec-2019 BUT if the customer comes from a specific branch (BRANCH "X") then the base date should be 31-mar-2020 (instead of 31-dec-2019).
So what I'm trying to do is to write something like this:
select
B.branch_name,
B.customer_id,
B.balance as current_balance,
B1.balance as base_date_balance,
from
balance B inner join balance B1
on B.customer_id=B1.customer_id
and B.date = '20apr2020'
and B1.date= (case when B.branch_name = 'X' then '31-mar-2020' else '31-dec-2019' end)
I get that this is not the right way to do this, but I can't figure it out what the right way is.
Thanks in advance for all the answers and the help, highly appreciate ! :)
Use window functions!:
select b.*,
max(case when branch = 'B' and date = date '2019-03-31' then balance
when date = date '2019-12-31' then balance
end) over (partition by customer_id, branch_name
) as base_date_balance
from balance b;
This should have better performance than a JOIN with an OR or CASE condition.
Alternatively, the join would look like:
from b join
b bbase
on bbase.customer_id = b.customer_id and
bbase.branch_name = b.branch_name and
( (bbase.branch_name = 'B' and bbase.date = date '2019-03-31') or
(bbase.branch_name <> 'B' and bbase.date = date '2019-12-31')
)
Select b.* from table
where rownum=1
and date<(select date from table where cust=... order by date desc)
order by date desc
This will give you the previous transaction according to the criteria. The subquery returns the latest transaction.
The next step will depend on the database. On Oracle you use:
Select (select latest_transactions)-(select previous_tranaction) from dual.
If you need more info let me know. I am writing from my phone.
Related
I have two datasets hosted in Snowflake with social media follower counts by day. The main table we will be using going forward (follower_counts) shows follower counts by day:
This table is live as of 4/4/2020 and will be updated daily. Unfortunately, I am unable to get historical data in this format. Instead, I have a table with historical data (follower_gains) that shows net follower gains by day for several accounts:
Ideally - I want to take the follower_count value from the minimum date in the current table (follower_counts) and subtract the sum of gains (organic + paid gains) for each day, until the minimum date of the follower_gains table, to fill in the follower_count historically. In addition, there are several accounts with data in these tables, so it would need to be grouped by account. It should look like this:
I've only gotten as far as unioning these two tables together, but don't even know where to start with looping through these rows:
WITH a AS (
SELECT
account_id,
date,
organizational_entity,
organizational_entity_type,
vanity_name,
localized_name,
localized_website,
organization_type,
total_followers_count,
null AS paid_follower_gain,
null AS organic_follower_gain,
account_name,
last_update
FROM follower_counts
UNION ALL
SELECT
account_id,
date,
organizational_entity,
organizational_entity_type,
vanity_name,
localized_name,
localized_website,
organization_type,
null AS total_followers_count,
organic_follower_gain,
paid_follower_gain,
account_name,
last_update
FROM follower_gains)
SELECT
a.account_id,
a.date,
a.organizational_entity,
a.organizational_entity_type,
a.vanity_name,
a.localized_name,
a.localized_website,
a.organization_type,
a.total_followers_count,
a.organic_follower_gain,
a.paid_follower_gain,
a.account_name,
a.last_update
FROM a
ORDER BY date desc LIMIT 100
UPDATE: Changed union to union all and added not exists to remove duplicates. Made changes per the comments.
NOTE: Please make sure you don't post images of the tables. It's difficult to recreate your scenario to write a correct query. Test this solution and update so that I can make modifications if necessary.
You don't loop through in SQL because its not a procedural language. The operation you define in the query is performed for all the rows in a table.
with cte as (SELECT a.account_id,
a.date,
a.organizational_entity,
a.organizational_entity_type,
a.vanity_name,
a.localized_name,
a.localized_website,
a.organization_type,
(a.follower_count - (b.organic_gain+b.paid_gain)) AS follower_count,
a.account_name,
a.last_update,
b.organic_gain,
b.paid_gain
FROM follower_counts a
JOIN follower_gains b ON a.account_id = b.account_id
AND b.date < (select min(date) from
follower_counts c where a.account.id = c.account_id)
)
SELECT b.account_id,
b.date,
b.organizational_entity,
b.organizational_entity_type,
b.vanity_name,
b.localized_name,
b.localized_website,
b.organization_type,
b.follower_count,
b.account_name,
b.last_update,
b.organic_gain,
b.paid_gain
FROM cte b
UNION ALL
SELECT a.account_id,
a.date,
a.organizational_entity,
a.organizational_entity_type,
a.vanity_name,
a.localized_name,
a.localized_website,
a.organization_type,
a.follower_count,
a.account_name,
a.last_update,
NULL as organic_gain,
NULL as paid_gain
FROM follower_counts a where not exists (select 1 from
follower_gains c where a.account_id = c.account_id AND a.date = c.date)
You could do something like this, instead of using the variable you can just wrap it another bracket and write at end ) AS FollowerGrowth
DECLARE #FollowerGrowth INT =
( SELECT total_followers_count
FROM follower_gains
WHERE AccountID = xx )
-
( SELECT TOP 1 follower_count
FROM follower_counts
WHERE AccountID = xx
ORDER BY date ASCENDING )
I want to display each crew member, basic info, and the most recent start date from their contracts. With my basic query, it returns a row for each contract, duplicating the basic info with a distinct start and end date.
I only need one row per person, with the latest start date (or null if they have never yet had a start date).
I have limited understanding of group by and partition functions. Queries I have reverse engineered for similar date use partition and create temp tables where they select from. Ultimately I could reuse that but it seems more convoluted than what we need.
select
Case when P01.EMPLOYMENTENDDATE < getdate() then 'Y'
else ''
end as "Deactivate",
concat(p01.FIRSTNAME,' ',p01.MIDDLENAME) as "First and Middle",
p01.LASTNAME,
p01.PIN,
(select top 1 TELENO FROM PW001P0T WHERE PIN = P01.PIN and TELETYPE = 6 ORDER BY TELEPRIORITY) as "EmailAddress",
org.NAME AS Vessel,
case
WHEN c02.CODECATEGORY= '20' then 'MARINE'
WHEN c02.CODECATEGORY= '10' then 'MARINE'
ELSE 'HOTEL' end as "Department",
c02.name as RankName,
c02.Alternative RankCode,
convert(varchar, ACT.DATEFROM,101) EmbarkDate,
convert(varchar,(case when ACT.DATEFROM is null then p03.TODATEESTIMATED else ACT.DATEFROM end),101) DebarkDate
FROM PW001P01 p01
JOIN PW001P03 p03
ON p03.PIN = p01.PIN
LEFT JOIN PW001C02 c02
ON c02.CODE = p03.RANK
/*LEFT JOIN PW001C02 CCIRankTbl
ON CCIRankTbl.CODE = p01.RANK*/
LEFT JOIN PWORG org
ON org.NUMORGID = dbo.ad_scanorgtree(p03.NUMORGID, 3)
LEFT JOIN PWORGVESACT ACT
ON ACT.numorgid=dbo.ad_scanorgtree(p03.numorgid,3)
where P01.EMPLOYMENTENDDATE > getdate()-10 or P01.EMPLOYMENTENDDATE is null
I only need to show one row per column. The first 5 columns will be the same always. The last columns depend on contract, and we just need data from the most recent one.
<table><tbody><tr><th>Deactivate</th><th>First and Middle</th><th>Lastname</th><th>PIN</th><th>Email</th><th>Vessel</th><th>Department</th><th>Rank</th><th>RankCode</th><th>Embark</th><th>Debark</th></tr><tr><td> </td><td>Martin</td><td>Smith</td><td>123</td><td>msmith#fake.com</td><td>Ship1</td><td>Marine</td><td>ViceCaptain</td><td>VICE</td><td>9/1/2008</td><td>9/20/2008</td></tr><tr><td> </td><td>Matin</td><td>Smith</td><td>123</td><td>msmith#fake.com</td><td>Ship2</td><td>Marine</td><td>Captain</td><td>CAP</td><td>12/1/2008</td><td>12/20/2008</td></tr><tr><td> </td><td>Steve Mark</td><td>Dude</td><td>98765</td><td>sdude#fake.com</td><td>Ship1</td><td>Hotel</td><td>Chef</td><td>CHEF</td><td>5/1/2009</td><td>8/1/2009</td></tr><tr><td> </td><td>Steve Mark</td><td>Dude</td><td>98765</td><td>sdude#fake.com</td><td>Ship3</td><td>Hotel</td><td>Chef</td><td>CHEF</td><td>10/1/2010</td><td>12/20/2010</td></tr></tbody></table>
Change your query to a SELECT DISTINCT on the main query and use a sub-select for DebarkDate column:
(SELECT TOP 1 A.DATEFROM FROM PWORGVESACT A WHERE A.numorgid = ACT.numorgid ORDER BY A.DATEFROM DESC) AS DebarkDate
You can do whatever conversions on the date you need to from the result of that sub-query.
Hi guys, I am stuck with a stubborn problem which I am unable to solve. Am trying to compile a report wherein all the dates coming from different tables would need to come into a single date field in the report. Ofcourse, the max or the most recent date from all these date columns needs to be added to the single date column for the report. I have multiple users of multiple branches/courses for whom the report would be generated.
There are multiple blogs and the latest date w.r.t to the blogtitle needs to be grouped, i.e. max(date_value) from the six date columns should give the greatest or latest date for that blogtitle.
Expected Result:
select u.batch_uid as ext_person_key, u.user_id, cm.batch_uid as ext_crs_key, cm.crs_id, ir.role_id as
insti_role, (CASE when b.JOURNAL_IND = 'N' then
'BLOG' else 'JOURNAL' end) as item_type, gm.title as item_name, gm.disp_title as ITEM_DISP_NAME, be.blog_pk1 as be_blogPk1, bc.blog_entry_pk1 as bc_blog_entry_pk1,bc.pk1,
b.ENTRY_mod_DATE as b_ENTRY_mod_DATE ,b.CMT_mod_DATE as BlogCmtModDate, be.CMT_mod_DATE as be_cmnt_mod_Date,
b.UPDATE_DATE as BlogUpDate, be.UPDATE_DATE as be_UPDATE_DATE,
bc.creation_date as bc_creation_date,
be.CREATOR_USER_ID as be_CREATOR_USER_ID , bc.creator_user_id as bc_creator_user_id,
b.TITLE as BlogTitle, be.TITLE as be_TITLE,
be.DESCRIPTION as be_DESCRIPTION, bc.DESCRIPTION as bc_DESCRIPTION
FROM users u
INNER JOIN insti_roles ir on u.insti_roles_pk1 = ir.pk1
INNER JOIN crs_users cu ON u.pk1 = cu.users_pk1
INNER JOIN crs_mast cm on cu.crsmast_pk1 = cm.pk1
INNER JOIN blogs b on b.crsmast_pk1 = cm.pk1
INNER JOIN blog_entry be on b.pk1=be.blog_pk1 AND be.creator_user_id = cu.pk1
LEFT JOIN blog_CMT bc on be.pk1=bc.blog_entry_pk1 and bc.CREATOR_USER_ID=cu.pk1
JOIN gradeledger_mast gm ON gm.crsmast_pk1 = cm.pk1 and b.grade_handler = gm.linkId
WHERE cu.ROLE='S' AND BE.STATUS='2' AND B.ALLOW_GRADING='Y' AND u.row_status='0'
AND u.available_ind ='Y' and cm.row_status='0' and and u.batch_uid='userA_157'
I am getting a resultset for the above query with multiple date columns which I want > > to input into a single columnn. The dates have to be the most recent, i.e. max of the dates in the date columns.
I have successfully done the Unpivot by using a view to store the above
resultset and put all the dates in one column. However, I do not
want to use a view or a table to store the resultset and then do
Unipivot simply because I cannot keep creating views for every user
one would query for.
The max(date_value) from the date columns need to be put in one single column. They are as follows:
* 1) b.entry_mod_date, 2) b.cmt_mod_date ,3) be.cmt_mod_date , 4) b.update_Date ,5) be.update_date, 6) bc.creation_date *
Apologies that I could not provide the desc of all the tables and the
fields being used.
Any help to get the above mentioned max of the dates from these
multiple date columns into a single column without using a view or a
table would be greatly appreciated.*
It is not clear what results you want, but the easiest solution is to use greatest().
with t as (
YOURQUERYHERE
)
select t.*,
greatest(entry_mod_date, cmt_mod_date, cmt_mod_date, update_Date,
update_date, bc.creation_date
) as greatestdate
from t;
select <columns>,
case
when greatest (b_ENTRY_mod_DATE) >= greatest (BlogCmtModDate) and greatest(b_ENTRY_mod_DATE) >= greatest(BlogUpDate)
then greatest( b_ENTRY_mod_DATE )
--<same implementation to compare each time BlogCmtModDate and BlogUpDate separately to get the greatest then 'date'>
,<columns>
FROM table
<rest of the query>
UNION ALL
Select <columns>,
case
when greatest (be_cmnt_mod_Date) >= greatest (be_UPDATE_DATE)
then greatest( be_cmnt_mod_Date )
when greatest (be_UPDATE_DATE) >= greatest (be_cmnt_mod_Date)
then greatest( be_UPDATE_DATE )
,<columns>
FROM table
<rest of the query>
UNION ALL
Select <columns>,
GREATEST(bc_creation_date)
,<columns>
FROM table
<rest of the query>
I need to pass from one select value to another one to get the calculation done and join the results but having problem with this "with" clause sub query.
This one calculates balance from supplied number loan_id from the second query
WITH my_select (balance, type) As
(
select sum(amount_o-amount_h) as balance, type
from decret d
where d.idnumber = **loan_id**
and d.DATE_D <= '2013-10-31'
and type in (1,2,3,4,11,12,13,18,20,25)
group by type
having sum(amount_o-amount_h) <> 0
)
select sum(balance) FROM my_select //just returns client balance
And this one selects clients data and I want for every client add the balance also to the result calculated in first query.
SELECT *, /*balance*/ from clients
where **loan_id** in (select LoanNum
from NumsFromEx)
How to join them together? (I have simplified a little bit queries to show it cleaner)
Given the sample queries, the following should work:
WITH cteBalances AS
(
SELECT loan_id, SUM(amount_o-amount_h) AS balance
FROM decret d
WHERE d.DATE_D <= '2013-10-31'
AND type IN (1,2,3,4,11,12,13,18,20,25)
GROUP BY loan_id
)
SELECT c.*, b.balance
FROM clients c
LEFT JOIN cteBalances b ON b.loan_id = c.loan_id
WHERE loan_id IN (SELECT LoanNum
FROM NumsFromEx)
I have 2 SQL Tables
unit_transaction
unit_detail_transactions
(tables schema here: http://sqlfiddle.com/#!3/e3204/2 )
What I need is to perform an SQL Query in order to generate a table with balances. Right now I have this SQL Query but it's not working fine because when I have 2 transactions with the same date then the balance is not calculated correctly.
SELECT
ft.transactionid,
ft.date,
ft.reference,
ft.transactiontype,
CASE ftd.isdebit WHEN 1 THEN MAX(ftd.debitaccountid) ELSE MAX(ftd.creditaccountid) END as financialaccountname,
CAST(COUNT(0) as tinyint) as totaldetailrecords,
ftd.isdebit,
SUM(ftd.amount) as amount,
balance.amount as balance
FROM unit_transaction_details ftd
JOIN unit_transactions ft ON ft.transactionid = ftd.transactionid
JOIN
(
SELECT DISTINCT
a.transactionid,
SUM(CASE b.isdebit WHEN 1 THEN b.amount ELSE -ABS(b.amount) END) as amount
--SUM(b.debit-b.credit) as amount
FROM unit_transaction_details a
JOIN unit_transactions ft ON ft.transactionid = a.transactionid
CROSS JOIN unit_transaction_details b
JOIN unit_transactions ft2 ON ft2.transactionid = b.transactionid
WHERE (ft2.date <= ft.date)
AND ft.unitid = 1
AND ft2.unitid = 1
AND a.masterentity = 'CONDO-A'
GROUP BY a.transactionid,a.amount
) balance ON balance.transactionid = ft.transactionid
WHERE
ft.unitid = 1
AND ftd.isactive = 1
GROUP BY
ft.transactionid,
ft.date,
ft.reference,
ft.transactiontype,
ftd.isdebit,
balance.amount
ORDER BY ft.date DESC
The result of the query is this:
Any clue on how to perform a correct SQL that will show me the right balances ordered by transaction date in descendant mode?
Thanks a lot.
EDIT: THINK OF 2 POSSIBLE SOLUTIONS
The problem is generated when you have the same date in 2 transactions, so here is what Im going to do:
Save Date and Time into "date" column. That way there won't be 2 exact dates.
OR
Create a "priority" column and set the priority for each record. So if I found that the date already exists and it has priority = 1 then the current priority will be 2.
What do you think?
There are two ways to do a running sum. I am going to show the syntax on a simpler table, to give you an idea.
Some databases (Oracle, PostgreSQL, SQL Server 2012, Teradata, DB2 for instance) support cumulative sums directly. For this you use the following function:
select sum(<val>) over (partition by <column> order by <ordering column>)
from t
This is a windows function that will calculate the running sum of for each group of records identified by . The order of the sum is .
Alas, many databases don't support this functionality, so you would need to do a self join to do this in a single SELECT query in the database:
select t.column, sum(tprev.<val>) as cumsum
from t left join
t tprev
where t.<column> = tprev.<column> and
t.<ordering column> >= tprev.<ordering column>
group by t.column
There is also the possibility of creating another table and using a cursor to assign the cumulative sum, or of doing the sum at the application level.