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we have the below table
COUNTRY TOP_COUNTRY
-------------------
ST. HELENA OTHERS
BARBADOS OTHERS
UNITED STATES UNITED STATES
**RUSSIA OTHERS**
NETHERLANDS OTHERS
**GERMANY OTHERS**
ANGUILLA OTHERS
AUSTRALIA AUSTRALIA
CHINA CHINA
I would like to update TOP_COUNTRY row value for a few countries with the names as shown in COUNTRY column.
For eg:
Right now, we RUSSIA shown as 'OTHERS' in TOP_COUNTRY but i would like to update it to the 'RUSSIA'.
This needs to be done for a couple of values..
Can you please let me know how we can get this done..
You can do:
UPDATE tableName
SET TOP_COUNTRY = COUNTRY
WHERE <YourCLause>
In if you want a list of COUNTRY to be updated you can do:
WHERE COUNTRY IN ("COUNTRY1","COUNTRY2",...);
update [YourTableName] set top_country = 'RUSSIA'
where COUNTRY='RUSSIA'
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SELECT country_name
FROM Countries
WHERE country_name LIKE '%Word1%' AND country_name LIKE '%Word2%';
Display all countries that contain at least 2 words in the country name. It returns no results but in the system there's United states of America and United kingdom
If you want at least two words, then there is at least one space. So, if I understand correctly, you want:
where country_name like '% %'
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I was filling this exercise from Sqlzoo.
Which countries have a GDP greater than every country in Europe? [Give the name only.] (Some countries may have NULL gdp values)
the answer is
select name, continent
from world
where gdp >=all(select gdp
from world
where gdp>0 and continent='Europe') and continent!='Europe'
and results are
name
China
Japan
United States
but when I try to group and count them according to their continents it does not allow me to do it.
select count(name), continent
from world
where gdp >=all(select gdp
from world
where gdp>0 and continent='Europe') and continent!='Europe' and group by continent
it gives me a syntax error. it says "You have an error in your SQL syntax; check the manual that corresponds to your MariaDB server version for the right syntax to use near 'group by continent' at line 1"
Why does not it allow me do that?
6th exercise in that address https://sqlzoo.net/wiki/SELECT_within_SELECT_Tutorial
remove last and. group by is not condition
try it
select count(name), continent
from world
where gdp >=all(select gdp
from world
where gdp>0
and continent='Europe')
and continent!='Europe'
group by continent
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I have a table which contains countries:
Countries
============
Australia
South Africa
Bangladesh
New zeland
Sri Lanka
England
...
Desired out put is
Country
===========
India
Sri Lanka
Followed by other countries in `Asc` or `Desc`
You can use CASE:
SqlFiddleDemo
SELECT *
FROM Countries
ORDER BY
CASE Name
WHEN 'India' THEN 0
WHEN 'Sri Lanka' THEN 1
ELSE 10
END ASC,
Name ASC -- DESC
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Closed 8 years ago.
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We are currently building a complicated financial report where every cell in the table is link to a group of accounts. Currently we will look at the group of a accounts and we manually figure out the filter/wildcards that defines that group. We need the filters to only include the accounts in the list. I was wondering if there a program to do this for us or is there an algorithm we can implement this. Also, all account numbers will be the same length.
Example:
Group A
10004
10005
10006
21001
21023
Group B
10056
10055
Group C
10000
10001
10002
10003
10004
10005
10006
10007
10008
10009
Group A would look like 1000[4,5,6], 21001, 21023
Group B would look like 1005[5,6]
Group C would look like 1000%
One solution that comes to mind is trie.
The general algorithm would be to find the longest prefix starting from the 1-st level(not 0-th level), fix this prefix and then append the different suffixes. Hope you will guess the next steps.
For example
Group A would look like 1000[4,5,6], 21001, 21023
Trie would look like
In this case the result is: 1000[4,5,6], 210[01,23]
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I need to identify situations in a vacation booking database where an approver and submitter are the same person. Data looks like this:
TIME VACATION BOOKING ACTION NAME
1:00:00 1 SUBMIT Mike
1:01:00 1 APPROVE Mike
1:02:00 2 SUBMIT Jane
1:03:00 2 APPROVE Mike
Is "Count" the most efficient way to do this in SQL Queries?
I would want to "catch" the Mike results in Vacation Booking 1 above.
You could use count, but I would prefer a self-join
SELECT * FROM Bookings B1
INNER JOIN Bookings B2
ON B1.[Vacation Booking]= B2.[Vacation Booking]
AND B1.Action = 'SUBMIT'
AND B2.Action = 'APPROVE'
AND B1.Name = B2.Name