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From Sterpu Victor
Subject CONCAT returns null
Date
Msg-id emf4faf124-bac4-4809-8371-ef9b41853ad0@victor-pc
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Responses Re: CONCAT returns null
Re: CONCAT returns null
Re: CONCAT returns null
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Hello
 
I have this concat: 
CONCAT(f.nrfo, '/', TO_CHAR(fd1.validfrom, 'YYYY-MM-DD'), f2.nrfo, TO_CHAR(fd7.validfrom, 'YYYY-MM-DD'), DATE(fd5.validto)-DATE(fd1.validfrom))
that works fine but when I change to this(I added a ' with '):
ARRAY_AGG(CONCAT(f.nrfo, '/', TO_CHAR(fd1.validfrom, 'YYYY-MM-DD'), ' with ', f2.nrfo, TO_CHAR(fd7.validfrom, 'YYYY-MM-DD'), DATE(fd5.validto)-DATE(fd1.validfrom))) AS temp,
then concat returns NULL.
Why? I tried to add ' with '::VARCHAR and ' with '::TEXT but the result is still NULL.
 
Thank you
 
This is part of a bigger query that I wrote down.
SELECT d1.id AS id, d1.name AS name, COUNT(DISTINCT(f2.id)) AS nr_spitalizari,
ARRAY_AGG(CONCAT(f.nrfo, '/', TO_CHAR(fd1.validfrom, 'YYYY-MM-DD'), ' cu ', f2.nrfo, '/', TO_CHAR(fd7.validfrom, 'YYYY-MM-DD'), ' diferenta de ', DATE(fd5.validto)-DATE(fd1.validfrom), ' zile ')) AS fise
 
FROM focg f
JOIN person p ON p.id = f.idpatient
JOIN focgdepartment fd1 ON fd1.idfocg = f.id
JOIN department d1 ON d1.id = fd1.iddepartment
LEFT JOIN focgdepartment fd2 ON fd2.idfocg = f.id AND fd2.validfrom < fd1.validfrom
JOIN focgdepartment fd3 ON fd3.idfocg = f.id
JOIN department d2 ON d2.id = fd3.iddepartment
LEFT JOIN focgdepartment fd4 ON fd4.idfocg = f.id AND fd4.validfrom > fd3.validfrom
 
JOIN focg f2 ON f2.idpatient = f.idpatient AND f2.id != f.id
JOIN focgdepartment fd5 ON fd5.idfocg = f2.id
LEFT JOIN focgdepartment fd6 ON fd6.idfocg = f2.id AND fd6.validfrom > fd5.validfrom
JOIN focgdepartment fd7 ON fd7.idfocg = f2.id
LEFT JOIN focgdepartment fd8 ON fd8.idfocg = f2.id AND fd8.validfrom < fd8.validfrom

WHERE fd2.id IS NULL AND fd4.id IS NULL AND fd6.id IS NULL AND fd8.id IS NULL AND fd5.validto IS NOT NULL AND fd1.validfrom >= '2015-02-01' AND fd1.validfrom <= '2016-02-29' AND DATE(fd5.validto)-DATE(fd1.validfrom)<=30 AND DATE(fd5.validto)-DATE(fd1.validfrom)>=0
GROUP BY d1.name, d1.id;

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