I have a table named entryform having the following columns
NAME,BOOKING_TIME,SN
The NAME and BOOKING_TIME fields are entered by the users. The SN field is to be updated based on the ascending sequence of BOOKING_TIME.
Can some please help me out to write the SQL query for performing the above operation in ORACLE
It sounds like you want row_number() or dense_rank():
select t.*,
row_number() over (order by booking_time) as sn
from t;
The difference is that dense_rank() can remove duplicates if booking_time has duplicate values.
If you actually want to update the value, you can use merge, assuming you have a primary key of some type:
merge into t using
(select t.*,
row_number() over (order by booking_time) as new_sn
from t
) tt
on (t.pk = tt.pk)
when matched then
update set t.sn = tt.new_sn;
Situation:
I have three columns:
id
date
tx_id
The primary id column is tx_id and is unique in the table. Each tx_id is tied to an id and it has a record date. I would like to test whether or not the tx_id is incremental.
Objective:
I need to extract the first tx_id by id but I want to prevent using ROW_NUMBER
i.e
select id, date, tx_id, row_number() over(partition by id order by date asc) as First_transaction_id from table
and simply use
select id, date, MIN(tx_id) as First_transaction_id from table
So how can i make sure since i have more than 50 millions of ids that by using MINtx_id will yield the earliest transaction for each id?
How can i add a flag column to segment those that don't satisfy the condition?
how can i make sure since i have more than 50 millions of ids that by using MINtx_id will yield the earliest transaction for each id?
Simply do the comparison:
You can get the exceptions with logic like this:
select t.*
from (select t.*,
min(tx_id) over (partition by id) as min_tx_id,
rank() over (partition by id order by date) as seqnum
from t
) t
where tx_id = min_tx_id and seqnum > 1;
Note: this uses rank(). It seems possible that there could be two transactions for an id on the same date.
use corelated sunquery
select t.* from table_name t
where t.date= ( select min(date) from table_name
t1 where t1.id=t.id)
I have been looking around for 2 days and have not been able to figure out this one. Using dataset below and SQL server 2016 I would like to get the row number of each row by 'id' and 'cat' ordered by 'date' in asc order but would like to see a reset of the sequence if a different value in the 'cat' column for the same 'id' is found(see rows in green). Any help would be appreciated.
This is a gaps and islands problem. The simplest solution in this case is probably a difference of row numbers:
select t.*,
row_number() over (partition by id, cat, seqnum - seqnum_c order by date) as row_num
from (select t.*,
row_number() over (partition by id order by date) as seqnum,
row_number() over (partition by id, cat order by date) as seqnum_c
from t
) t;
Why this works is a bit tricky to explain. But, if you look at the sequence numbers in the subquery, you'll see that the difference defines the groups you want to define.
Note: This assumes that the date column provides a stable sort. You seem to have duplicates in the column. If there really are duplicates and you have no secondary column for sorting, then try rank() or dense_rank() instead of row_number().
I'm using SQL Azure with asp script, and for the life of me, have had no luck trying to get this to work. The table I'm running a query on has many columns, but I want to query for distinct values on 2 columns (name and email), from there I want it to return the entire row's values.
What my query looks like now:
SELECT DISTINCT quote_contact, quote_con_email
FROM quote_headers
WHERE quote_contact LIKE '"&query&"%'
But I need it to return the whole row so I can retrieve other data points. Had I been smart a year ago, I would have created a separate table just for the contacts, but that's a year ago.
And before I implemented LiveSearch features.
One approach would be to use a CTE (Common Table Expression). With this CTE, you can partition your data by some criteria - i.e. your quote_contact and quote_con_email - and have SQL Server number all your rows starting at 1 for each of those partitions, ordered by some other criteria - i.e. probably SomeDateTimeStamp.
So try something like this:
;WITH DistinctContacts AS
(
SELECT
quote_contact, quote_con_email, (other columns here),
RN = ROW_NUMBER() OVER(PARTITION BY quote_contact, quote_con_email ORDER BY SomeDateTimeStamp DESC)
FROM
dbo.quote_headers
WHERE
quote_contact LIKE '"&query&"%'
)
SELECT
quote_contact, quote_con_email, (other columns here)
FROM
DistinctContacts
WHERE
RowNum = 1
Here, I am selecting only the last entry for each "partition" (i.e. for each pair of name/email) - ordered in a descending fashion by the time stamp.
Does that approach what you're looking for??
You need to provide more details.
This is what I could come up with Without them:
WITH dist as (
SELECT DISTINCT quote_contact, quote_con_email, RANK() OVER(ORDER BY quote_contact, quote_con_email) rankID
FROM quote_headers
WHERE quote_contact LIKE '"&query&"%'
),
data as (
SELECT *, RANK() OVER(ORDER BY quote_contact, quote_con_email) rankID FROM quote_headers
)
SELECT * FROM dist d INNER JOIN data src ON d.rankID = src.rankID
I want to use the ROW_NUMBER() to get...
To get the max(ROW_NUMBER()) --> Or i guess this would also be the count of all rows
I tried doing:
SELECT max(ROW_NUMBER() OVER(ORDER BY UserId)) FROM Users
but it didn't seem to work...
To get ROW_NUMBER() using a given piece of information, ie. if I have a name and I want to know what row the name came from.
I assume it would be something similar to what I tried for #1
SELECT ROW_NUMBER() OVER(ORDER BY UserId) From Users WHERE UserName='Joe'
but this didn't work either...
Any Ideas?
For the first question, why not just use?
SELECT COUNT(*) FROM myTable
to get the count.
And for the second question, the primary key of the row is what should be used to identify a particular row. Don't try and use the row number for that.
If you returned Row_Number() in your main query,
SELECT ROW_NUMBER() OVER (Order by Id) AS RowNumber, Field1, Field2, Field3
FROM User
Then when you want to go 5 rows back then you can take the current row number and use the following query to determine the row with currentrow -5
SELECT us.Id
FROM (SELECT ROW_NUMBER() OVER (ORDER BY id) AS Row, Id
FROM User ) us
WHERE Row = CurrentRow - 5
Though I agree with others that you could use count() to get the total number of rows, here is how you can use the row_count():
To get the total no of rows:
with temp as (
select row_number() over (order by id) as rownum
from table_name
)
select max(rownum) from temp
To get the row numbers where name is Matt:
with temp as (
select name, row_number() over (order by id) as rownum
from table_name
)
select rownum from temp where name like 'Matt'
You can further use min(rownum) or max(rownum) to get the first or last row for Matt respectively.
These were very simple implementations of row_number(). You can use it for more complex grouping. Check out my response on Advanced grouping without using a sub query
If you need to return the table's total row count, you can use an alternative way to the SELECT COUNT(*) statement.
Because SELECT COUNT(*) makes a full table scan to return the row count, it can take very long time for a large table. You can use the sysindexes system table instead in this case. There is a ROWS column that contains the total row count for each table in your database. You can use the following select statement:
SELECT rows FROM sysindexes WHERE id = OBJECT_ID('table_name') AND indid < 2
This will drastically reduce the time your query takes.
You can use this for get first record where has clause
SELECT TOP(1) * , ROW_NUMBER() OVER(ORDER BY UserId) AS rownum
FROM Users
WHERE UserName = 'Joe'
ORDER BY rownum ASC
ROW_NUMBER() returns a unique number for each row starting with 1. You can easily use this by simply writing:
ROW_NUMBER() OVER (ORDER BY 'Column_Name' DESC) as ROW_NUMBER
May not be related to the question here. But I found it could be useful when using ROW_NUMBER -
SELECT *,
ROW_NUMBER() OVER (ORDER BY (SELECT 100)) AS Any_ID
FROM #Any_Table
select
Ml.Hid,
ml.blockid,
row_number() over (partition by ml.blockid order by Ml.Hid desc) as rownumber,
H.HNAME
from MIT_LeadBechmarkHamletwise ML
join [MT.HAMLE] h on ML.Hid=h.HID
SELECT num, UserName FROM
(SELECT UserName, ROW_NUMBER() OVER(ORDER BY UserId) AS num
From Users) AS numbered
WHERE UserName='Joe'
You can use Row_Number for limit query result.
Example:
SELECT * FROM (
select row_number() OVER (order by createtime desc) AS ROWINDEX,*
from TABLENAME ) TB
WHERE TB.ROWINDEX between 0 and 10
--
With above query, I will get PAGE 1 of results from TABLENAME.
If you absolutely want to use ROW_NUMBER for this (instead of count(*)) you can always use:
SELECT TOP 1 ROW_NUMBER() OVER (ORDER BY Id)
FROM USERS
ORDER BY ROW_NUMBER() OVER (ORDER BY Id) DESC
Need to create virtual table by using WITH table AS, which is mention in given Query.
By using this virtual table, you can perform CRUD operation w.r.t row_number.
QUERY:
WITH table AS
-
(SELECT row_number() OVER(ORDER BY UserId) rn, * FROM Users)
-
SELECT * FROM table WHERE UserName='Joe'
-
You can use INSERT, UPDATE or DELETE in last sentence by in spite of SELECT.
SQL Row_Number() function is to sort and assign an order number to data rows in related record set. So it is used to number rows, for example to identify the top 10 rows which have the highest order amount or identify the order of each customer which is the highest amount, etc.
If you want to sort the dataset and number each row by seperating them into categories we use Row_Number() with Partition By clause. For example, sorting orders of each customer within itself where the dataset contains all orders, etc.
SELECT
SalesOrderNumber,
CustomerId,
SubTotal,
ROW_NUMBER() OVER (PARTITION BY CustomerId ORDER BY SubTotal DESC) rn
FROM Sales.SalesOrderHeader
But as I understand you want to calculate the number of rows of grouped by a column. To visualize the requirement, if you want to see the count of all orders of the related customer as a seperate column besides order info, you can use COUNT() aggregation function with Partition By clause
For example,
SELECT
SalesOrderNumber,
CustomerId,
COUNT(*) OVER (PARTITION BY CustomerId) CustomerOrderCount
FROM Sales.SalesOrderHeader
This query:
SELECT ROW_NUMBER() OVER(ORDER BY UserId) From Users WHERE UserName='Joe'
will return all rows where the UserName is 'Joe' UNLESS you have no UserName='Joe'
They will be listed in order of UserID and the row_number field will start with 1 and increment however many rows contain UserName='Joe'
If it does not work for you then your WHERE command has an issue OR there is no UserID in the table. Check spelling for both fields UserID and UserName.