Is a SQL function exists to SUM some numbers in a column but only if they are different ?
You can use subqueries to achive this:
Select Sum(TBL.column) From
( Select distinct column From Table) as TBL
SELECT SUM(DISTINCT(COLUMN_NAME)) FROM TABLE
Related
I want to get numbers of rows in a table according to certain criteria.
Please see the below table:-
Herein I want to get numbers of rows according to Column StationTo.
I want to get numbers of rows of each StationTo entries.
You could group by the StationTo and use the aggregate count(*) function:
SELECT StationTo, COUNT(*)
FROM mytable
GROUP BY StationTo
EDIT:
If you just want the number of rows for a single StationTo, you could use a where clause:
SELECT COUNT(*)
FROM mytable
WHERE StationTo = 'P11004400000'
Hi have you master table for stationTo records?
select s.stationto, count(data.*) from stationtomaster
left join data on data.stationto=stationtomaster.stationto
group by s.stationto
Select StationTo,Date, count(*) from table group by StationTo, Datemeaning all the stationTo having rows display their count.
or select count(distinct StationTo) from table or Select count(*) from table where stationTo='yourvalue'
I need to sum the result of count of a column in one query.
Is it possible to have like this query?
SELECT sum(count(pro_id)) from jalasat group by pro_id
You have not mentioned which SQL database you are using so you may modify this slightly to fit it to what you are using:
SELECT SUM(cnt) FROM (SELECT COUNT(pro_id) as cnt
FROM jalasat
GROUP BY continent) as t1
I have a table that contains 10 million rows, like this:
I want to group by [CoinNameId] (this column is a foreign key) and get max value of [CreatedAt] for each [CoinNameId] group, but my query returns an error:
How can I solve this?
When you use aggregates in the select clause, every field that is not aggregated needs to be in the group by. That's why you are getting an error. I'm not sure why you had select * in your query.
You'd have to have a query like this:
SELECT CoinNameID, max([CreatedAt])
FROM [dbo].[CoinData]
GROUP BY [CoinNameID]
If you just want column CreatedAt and MAX(CreatedAt) in that case you can do like following.
SELECT CoinNameID, MAX([CreatedAt])
FROM [dbo].[CoinData]
GROUP BY [CoinNameID]
In case if you want all columns along with the MAX([CreatedAt]), you can get it like following.
SELECT *,
(SELECT MAX([CreatedAt])
FROM [dbo].[CoinData] CDI WHERE CDI.CoinNameID=CD.CoinNameID) AS MAX_CreatedAt
FROM [dbo].[CoinData] CD
You have select * on your query
SELECT
CoinNameId,MAX(CreatedAt) AS MaxCreatedAt
FROM [dbo].[CoinData]
GROUP BY CoinNameId
This will return MAX(CreatedAt) with other columns
SELECT
*, MAX([CreatedAt]) OVER (PARTITION BY [CoinNameId])
FROM [dbo].[CoinData]
I would like to count the number of rows from a mysql table and not to include duplicate entries,
Could I use distinct with count()?
Sure.
SELECT COUNT(DISTINCT column) FROM table;
What you need is the following:
SELECT field_type_name, count(*) FROM fields GROUP BY field_type_name;
This will give you something like this:
image 14
string 75
text 9
SELECT COUNT(DISTINCT field) from Table
See this.
SELECT count(DISTINCT column Name) as alias from table_Name;
If i perform a standard query in SQLite:
SELECT * FROM my_table
I get all records in my table as expected. If i perform following query:
SELECT *, 1 FROM my_table
I get all records as expected with rightmost column holding '1' in all records. But if i perform the query:
SELECT *, COUNT(*) FROM my_table
I get only ONE row (with rightmost column is a correct count).
Why is such results? I'm not very good in SQL, maybe such behavior is expected? It seems very strange and unlogical to me :(.
SELECT *, COUNT(*) FROM my_table is not what you want, and it's not really valid SQL, you have to group by all the columns that's not an aggregate.
You'd want something like
SELECT somecolumn,someothercolumn, COUNT(*)
FROM my_table
GROUP BY somecolumn,someothercolumn
If you want to count the number of records in your table, simply run:
SELECT COUNT(*) FROM your_table;
count(*) is an aggregate function. Aggregate functions need to be grouped for a meaningful results. You can read: count columns group by
If what you want is the total number of records in the table appended to each row you can do something like
SELECT *
FROM my_table
CROSS JOIN (SELECT COUNT(*) AS COUNT_OF_RECS_IN_MY_TABLE
FROM MY_TABLE)