Pivot multiple email addresses to columns - case

I need to pivot the email table so that the different email addresses are displayed in different columns. The data is relatively simple. I get the following error messages for the code below which is perplexing. Line 6, Incorrect syntax near the keyword 'FROM'. Line 14, Incorrect syntax near the keyword 'AS'. Thank you for all your help in advanced! I am a relative newbie :)
I need the emails to be in different columns
``
SELECT Emails.entity_FK,
CASE WHEN emails.MyDefault = 1 THEN emails.EmailAddress END AS EmailPrimary,
CASE WHEN em.RowNum = 1 THEN em.EmailAddress END AS Email_2,
CASE WHEN em.RowNum = 2 THEN em.EmailAddress END AS Email_3,
CASE WHEN em.RowNum = 3 THEN em.EmailAddress END AS Email_4,
FROM Emails
LEFT JOIN
(
SELECT Entity_FK, EmailAddress,
ROW_NUMBER() OVER (PARTITION BY Entity_FK ORDER BY Email_PK)
as RowNum
FROM emails
WHERE MyDefault = 0 AND EntityTypeCode_FK = 126
) AS em
emails.Entity_FK = em.Entity_FK
WHERE emails.EntityTypeCode_FK = 126
``

Related

Oracle Json object DISTINCT keep getting repeating columns

So i have a query and it need to return a JSON object but the DISTINCT doesn't work no matter what I try. I've been trying a series of other tests and no matter what the 'WBS' always shows up with 3 or more duplicated columns. Anyone got any ideas?
I am working in Asp.net 6 MVC
PROCEDURE GET_BASELINE_RPT (in_WBS_LEVEL_ID IN NUMBER, in_FISCAL_YEAR IN VARCHAR2,
in_FISCAL_MONTH IN VARCHAR2, RET OUT CLOB) AS
BEGIN
WITH cte AS (
SELECT /*+MATERIALIZE*/ DISTINCT L.WBS_LEVEL_ID
FROM
WBS_LEVEL L
)
SELECT
JSON_ARRAYAGG (
JSON_OBJECT (
'WBS' VALUE L.WBS_LEVEL_NAME,
'Title' VALUE W.DESCRIPTION,
'Rev' VALUE B.REV_NUMBER,
'ScopeStatus' VALUE W.STATUS,
'BCP' VALUE CASE WHEN BC.FISCAL_YEAR = 0 THEN '' ELSE
SUBSTR(BC.FISCAL_YEAR,3,2)||'-'||LPAD(BC.BCP_FISCAL_ID, 3, '0') END,
'BCPApprovalDate' VALUE BC.APPROVAL_DATE,
'Manager' VALUE P1.NICK_NAME,
'ProjectControlManager' VALUE P2.NICK_NAME,
'ProjectControlEngineer' VALUE P3.NICK_NAME,
'FiscalYear' VALUE W.FISCAL_YEAR,
'FiscalMonth' VALUE W.FISCAL_MONTH,
'WBSNumber' VALUE L.WBS_LEVEL_ID
)RETURNING CLOB)
INTO RET
FROM WBS_LEVEL L
LEFT OUTER JOIN BASELINE_RPT B ON L.WBS_LEVEL_ID = B.WBS_LEVEL_ID
JOIN BCP BC ON BC.BCP_ID = B.BCP_ID
LEFT OUTER JOIN WBS_TREE_MOD W ON L.WBS_LEVEL_ID = W.WBS_LEVEL_ID
LEFT OUTER JOIN VW_SITEPEOPLE P1 ON W.WBS_MANAGER_SNUMBER = P1.SNUMBER
LEFT OUTER JOIN VW_SITEPEOPLE P2 ON W.PCM_SNUMBER = P2.SNUMBER
LEFT OUTER JOIN VW_SITEPEOPLE P3 ON W.PCE_SNUMBER = P3.SNUMBER
ORDER BY L.WBS_LEVEL_NAME, B.REV_NUMBER DESC;
END GET_BASELINE_RPT;
so it turns out I wasn't getting duplicates at all. There were differences in the data but there were so many columns that had the same data that I didn't notice the differences until another review. I will try to restart my query but to be honest I may just put in a filter in my C#.

Count Multiple Rows from Multiple Table (Power BI)

I am trying to write a Power BI query that can calculate the number of ROWS with a Condition.
Now I have 5 tables- Table1, Table 2, Table 3, Table 4, Table 5.
Now in those Tables, I have two Column Called ID & Date. I would like to Count all ID where the Date is `not Empty
I am trying this Query but it is not helping my cause.
All Total Hires =
SUMX(
UNION(
SELECTCOLUMNS(Table1,"A",Table1[Name]),
SELECTCOLUMNS(Table2,"A",Table2[Name]),
SELECTCOLUMNS(Table3,"A",Table3[Name]),
SELECTCOLUMNS(Table4,"A",Table4[Name]),
SELECTCOLUMNS(Table5,"A",Table5[Name])
)
,IF([A] <> NULL, 1, 0))
Does Anyone know any solution to this Problem?
You can do something like this using COUNTROWS and BLANK(). Note: I've assumed that the Date is null/blank and not ' ' type of empty.
Table1 Non Blanks= CALCULATE(COUNTROWS('Table1'), FILTER('Table1', 'Table1'[Date] <> BLANK())
You create a measure per table, and add them together or
CALCULATE(COUNTROWS('Table1'), FILTER('Table1', 'Table1'[Date] <> BLANK())
+ CALCULATE(COUNTROWS('Table2'), FILTER('Table2', 'Table2'[Date] <> BLANK())
+ and Table3 etc
You can also try this below measure-
count_id =
COUNTROWS(
UNION(
FILTER(Table_1, Table_1[date] <> BLANK()),
FILTER(Table_2, Table_2[date] <> BLANK())
)
)

Counting 2 Columns from Separate Tables Between 2 Dates

I have a query that Counts 2 columns from 2 separate tables using subqueries, which works. Now I have to implement into this query the ability to filter out these results based on the Date of a Call Record. I will post the query in which I am working with:
SELECT (m.FirstName || " " || m.LastName) AS Members,
(
SELECT count(CallToLineOfficers.MemberID)
FROM CallToLineOfficers
WHERE CallToLineOfficers.MemberID = m.MemberID
)
+ (
SELECT count(CallToMembers.MemberID)
FROM CallToMembers
WHERE CallToMembers.MemberID = m.MemberID
) AS Tally
FROM Members AS m, Call, CallToMembers, CallToLineOfficers
Join Call on CallToMembers.CallID = Call.CallID
and CallToLineOfficers.CallID = Call.CallI
WHERE m.FirstName <> 'None'
-- and Call.Date between '2017-03-21' and '2017-03-22'
GROUP BY m.MemberID
ORDER BY m.LastName ASC;
Ok, so table Call stores the Date and its PK is CallID. Both CallToLineOfficers and CallToMembers are Bridge Tables that also contain only CallID and MemberID. With the current query, where the Date is commented out, that Date range should only return all names, but a count of 1 should appear under 1 person's name.
I have tried joining Call.CallID with both Bridge Tables' CallIDs without any luck, though I think this is the right way to do it. Could someone help point me in the right direction? I am lost. (I tried explaining this the best I could, so if you need more info, let me know.)
UPDATED: Here is a screenshot of what I am getting:
Based on the provided date in the sample, the new results, with the Date, should be:
Bob Clark - 1
Rob Catalano - 1
Matt Butler - 1
Danielle Davidson - 1
Jerry Chuska - 1
Tom Cramer - 1
Everyone else should be 0.
At the moment, the subqueries filter only on the member ID. So for any member ID in the outer query, they return the full count.
To reduce the count, you have to filter in the subqueries:
SELECT (FirstName || " " || LastName) AS Members,
(
SELECT count(*)
FROM CallToLineOfficers
JOIN Call USING (CallID)
WHERE MemberID = m.MemberID
AND Date BETWEEN '2017-03-21' AND '2017-03-22'
)
+ (
SELECT count(*)
FROM CallToMembers
JOIN Call USING (CallID)
WHERE MemberID = m.MemberID
AND Date BETWEEN '2017-03-21' AND '2017-03-22'
) AS Tally
FROM Members AS m
WHERE FirstName <> 'None'
ORDER BY LastName ASC;

sort semicolon separated values per row in a column

I want to sort semicolon separated values per row in a column. Eg.
Input:
abc;pqr;def;mno
xyz;pqr;abc
abc
xyz;jkl
Output:
abc;def;mno;pqr
abc;pqr;xyz
abc
jkl;xyz
Can anyone help?
Perhaps something like this. Breaking it down:
First we need to break up the strings into their component tokens, and then reassemble them, using LISTAGG(), while ordering them alphabetically.
There are many ways to break up a symbol-separated string. Here I demonstrate the use of a hierarchical query. It requires that the input strings be uniquely distinguished from each other. Since the exact same semicolon-separated string may appear more than once, and since there is no info from the OP about any other unique column in the table, I create a unique identifier (using ROW_NUMBER()) in the most deeply nested subquery. Then I run the hierarchical query to break up the inputs and then reassemble them in the outermost SELECT.
with
test_data as (
select 'abc;pqr;def;mno' as str from dual union all
select 'xyz;pqr;abc' from dual union all
select 'abc' from dual union all
select 'xyz;jkl' from dual
)
-- End of test data (not part of the solution!)
-- SQL query begins BELOW THIS LINE.
select str,
listagg(token, ';') within group (order by token) as sorted_str
from (
select rn, str,
regexp_substr(str, '([^;]*)(;|$)', 1, level, null, 1) as token
from (
select str, row_number() over (order by null) as rn
from test_data
)
connect by level <= length(str) - length(replace(str, ';')) + 1
and prior rn = rn
and prior sys_guid() is not null
)
group by rn, str
;
STR SORTED_STR
--------------- ---------------
abc;pqr;def;mno abc;def;mno;pqr
xyz;pqr;abc abc;pqr;xyz
abc abc
xyz;jkl jkl;xyz
4 rows selected.

How to get value from oracle stored in || separated?

I am new in oracle and I want to get the value from a column which is stored as "Ashu||123 ||Main Menu|ENG||1|1".
as you can see each value is separated by || symbol.in the above value Ashu is the customer name and 123 is the id, I want both value as customer-name and customer id.
In the query below, I include some test data "on the fly" (not part of the solution; use your actual table name instead of test_data in the main query, and your actual column name instead of str). I included several special cases for testing, to make sure the query works correctly in all cases. I assume the first value (before the first ||) is the customer name and the second the customer id, and the rest of the input string can be ignored. I looked in particular to see that the query handles null values correctly (assuming they may happen in your data).
I left the customer id as a string; if it must be a number, it may be better to wrap it all within to_number().
with
test_data ( str ) as (
select 'Ashu||123||Main Menu|ENG||1|1' from dual union all
select 'Misha||125' from dual union all
select 'Babu||||Main Menu|NZL||?' from dual union all
select 'Rim||' from dual union all
select 'Todd' from dual union all
select '||139||Other Stuff' from dual
)
-- end of test data (only for testing and illustration) - not part of solution
-- SQL query begins BELOW THIS LINE
select str,
regexp_substr(str, '([^|]*)(\|\||$)', 1, 1, null, 1) as cust_name,
regexp_substr(str, '([^|]*)(\|\||$)', 1, 2, null, 1) as cust_id
from test_data
;
STR CUST_NAME CUST_ID
----------------------------- --------- -------
Ashu||123||Main Menu|ENG||1|1 Ashu 123
Misha||125 Misha 125
Babu||||Main Menu|NZL||? Babu
Rim|| Rim
Todd Todd
||139||Other Stuff 139
6 rows selected.

Resources