I have one table:
Person Name Country code
Andrew 1
Philip 2
John 1
Daniel 2
and a lookup table:
Country code Country name
1 USA
2 UK
I added them to powerpivot, created a relationship between the country code fields, then I created a pivot table. I expect to get the following:
Person Name Country code
Andrew USA
Philip UK
John USA
Daniel UK
But what I actually get is:
Person Name Country code
Andrew USA
Andrew UK
Philip USA
Philip UK
John USA
John UK
Daniel USA
Daniel UK
Couple of options:
Add a column to your main table that uses a formula to pull in the Country Name from your LookUp Table e.g.
=RELATED(LookUpTable[Country Name])
If you drag in any measure that references the main table you will get your desired result e.g. =COUNTROWS('MainTable') You then hide the results column if you had to.
Related
I need to create column with name(s) (Supervisors - can be multiple supervisors at the same time, but also there might not be supervisor at all) from JSON format column, that not in 2 other column with names (Employee and Client).
Id
Employee
Client
AllParticipants
1
Justin Bieber
Ariana Grande
[{"ParticipantName":"Justin Bieber"},{"ParticipantName":"Ariana Grande"}]
2
Lionel Messi
Christiano Ronaldo
[{"ParticipantName":"Christiano Ronaldo"},{"ParticipantName":"Lionel Messi"}]
3
Nicolas Cage
Robert De Niro
[{"ParticipantName":"Robert De Niro"},{"ParticipantName":"Nicolas Cage"},{"ParticipantName":"Brad Pitt"}]
4
Harry Potter
Ron Weasley
[{"ParticipantName":"Ron Weasley"},{"ParticipantName":"Albus Dumbldor"},{"ParticipantName":"Harry Potter"},{"ParticipantName":"Lord Voldemort"}]
5
Tom Holland
Henry Cavill
[{"ParticipantName":"Henry Cavill"},{"ParticipantName":"Tom Holland"}]
6
Spider Man
Venom
[{"ParticipantName":"Venom"},{"ParticipantName":"Iron Man"},{"ParticipantName":"Superman"},{"ParticipantName":"Spider Man"}]
7
Andrew Garfield
Leonardo DiCaprio
[{"ParticipantName":"Tom Cruise"},{"ParticipantName":"Andrew Garfield"},{"ParticipantName":"Leonardo DiCaprio"}]
8
Dwayne Johnson
Jennifer Lawrence
[{"ParticipantName":"Jennifer Lawrence"},{"ParticipantName":"Dwayne Johnson"}]
The output column I need:
Supervisors
NULL
NULL
Brad Pitt
Albus Dumbldor, Lord Voldemort
NULL
Iron Man, Superman
Tom Cruise
NULL
I've tried to create extra columns to use Case expression after that, but it seems too complex.
SELECT *,
JSON_VALUE(w.AllParticipants,'$[0].ParticipantName') AS ParticipantName1,
JSON_VALUE(w.AllParticipants,'$[1].ParticipantName') AS ParticipantName2,
JSON_VALUE(w.AllParticipants,'$[2].ParticipantName') AS ParticipantName3,
JSON_VALUE(w.AllParticipants,'$[3].ParticipantName') AS ParticipantName4
FROM Work AS w
I'm wondering if there is an easy way to compare values and extract only unique ones.
I have two tables A and B. Table B has 4 columns(ID,NAME,CITY,COUNTRY), 3 columns has values and one column (ID) has NULLS. I want to insert max value from table A column ID to table B where the ID field in B should be in increasing order.
Screenshot
TABLE A
ID NAME
------- -------
231 Bred
134 Mick
133 Tom
233 Helly
232 Kathy
TABLE B
ID NAME CITY COUNTRY
------- ------- ---------- -----------
(NULL) Alex NY USA
(NULL) Jon TOKYO JAPAN
(NULL) Jeff TORONTO CANADA
(NULL) Jerry PARIS FRANCE
(NULL) Vicky LONDON ENGLAND
ID in column in B should be populated as MAX(ID) +1 from table A. The output should look like this:
TABLE B
ID NAME CITY COUNTRY
------ -------- ---------- -----------
234 Alex NY USA
235 Jon TOKYO JAPAN
236 Jeff TORONTO CANADA
237 Jerry PARIS FRANCE
238 Vicky LONDON ENGLAND
Perhaps the simplest method is to create a one-time sequence for the update:
create sequence temp_b_seq;
update b
set id = (select max(id) from a) + temp_b_seq.nextval;
drop sequence temp_b_seq;
You could actually initialize the sequence with the maximum value from a, but that requires dynamic SQL, so this seems like the simplest approach. Oracle should be smart enough to run the subquery only once.
I have tried to simplify my question with the following example:
I have a table with the following data:
Marker Name Location
1 Eric Benson Mixed
2 John Smith Rural
3 A David Rural
4 B John Mixed
And i want to insert into the table:
Name Location
Andy Jones Mixed
Ian Davies Rural
How can i continue the sequencein the Marker column to end up with:
Marker Name Location
1 Eric Benson Mixed
2 John Smith Rural
3 A David Rural
4 B John Mixed
5 Andy Jones Mixed
6 Ian Davies Rural
If you make this with a Stored Procedure you can ask the max of the Marker before to insert.
(That only works if the Marker Column is not identity)
Like This:
declare #max_marker int
set #max_marker=isnull((select max(marker) from table),0)
--Insert comes here
Insert into table (Marker,Name,Location) Values(#max_marker+1,'Andy Jones','Mixed')
I have to write a query in Oracle. I have a table called 'Entity' with 2 columns 'Pref_mail_name' and 'spouse_name'.
Now i want list of all spouse_name where the last name of the spouse_name is not populated from pref_mail_name.
For example my table has following data
Pref_mail_name spouse_name
Kunio Tanaka | Lorraine
Mrs. Betty H. Williams | Chester Williams
Mr. John Baranger | Mrs. Cathy Baranger
William kane Gallio | Karen F. Gallio
Sangon Kim | Jungja
i need output as 1st and 5th row only. I did some analysis and came up with oracle built in function
SELECT PREF_MAIL_NAME, SPOUSE_NAME, UTL_MATCH.JARO_WINKLER_SIMILARITY(a, b)
similarity from entity
order by similarity;
But above query is not looking genuine.Even though spouse last name is not populated from pref_mail_name its giving a value above 80 for similarity.
I have two tables:
RecommendedFriends and AddedFriends
each of the tables have a User field and a Friend field. I am trying to figure out how I can see how many friends a User added that they were also recommended. Heres an example of the tables:
RecommendedFriends
User Friends Time
------------------------------------
Jake Eric 8:00am
Jake John 8:00am
Jake Jack 8:30am
Greg John 8:30am
Greg Tim 9:00am
Greg Steve 9:30am
Will Jackson 9:30am
AddedFriends
User Friends Time
------------------------------------
Jake Jack 8:35am
Greg John 8:35am
Greg Tim 9:00pm
Greg Jim 10:30am
Greg Tina 10:45am
Greg Bob 10:00am
Charlie Brian 11:00am
So the table I need would look like this:
Results
User RecFriends AddFriends
------------------------------------
Jake Eric
Jake John
Jake Jack Jack
Greg John John
Greg Tim Tim
Greg Steve
Greg Tina
Will Jackson
Charlie Brian
So I can go in and say 3 people added friends they were recommended, 4 Recommendations failed, and 2 people added someone they weren't recommended.
I think what you want is full outer join:
select coalesce(rf.USER, af.user) as user, rf.friends as RecFriends, af.Friends as AddFriends,
from RecommendedFriends rf full outer join
AddedFriends af
on rf.user = af.user and
rf.Friends = af.Friends
This doesn't take time into account. You might want to check that the time of the add is after the time of the recommendation, if you want to infer causality between the recommendation and the add.
If you are using a database that doesn't support full outer join (can anyone say "MySQL"), you can get the same result doing:
select t.user, MAX(case when which = 'rec' then friends end) as RecFriends,
MAX(case when which = 'add' then friends end) as AddFriends
from ((select rf.user, rf.friends, 'rec' as which
from RecommendedFriends af.user
) union all
(select af.user, af.friends, 'add' as which
from AddedFriends af
)
) t
group by user
This version has the nice feature that it will not produce duplicate records, in the event of multiple recommendations or adds.