I have a table with the below columns. I would like to create the result table below that pairs transactions with "LIKE" transactions. The only exception is that "OUT" can basically stop anything.
compIDcommIDTRANSDATEUNIT
11MSF1/1/2012101
12CS11/1/2012101
13CS22/1/2012101
110OUT5/1/2012101
112MSF5/2/2012301
113CS15/2/2012301
114CS26/2/2012301
115OUT10/2/2012301
24MSF1/1/2012102
[code]...
I have transaction table I am pulling transactions from and can't quite figure out how to get a sum based on a few items.
I am trying to figure out how to show the sum of the InvestorAssumption and group it based on the DealId, then DealTransType and show the sum of the InvestorAssumption.
So I want to see a total of the InvestorAssumption by quarter split up by DealTransType, then DealId.
Not sure how to do this and any help would be greatly appreciated.
Here is my current view.
Code:
SELECT TOP 100 PERCENT dbo.DealTransactions.DealTransId, dbo.DealTransactions.DealId, dbo.DSGvwInvestorPercentage.InvestorID, DATEADD(quarter,
DATEDIFF(quarter, 0, dbo.DealTransactions.DealTransDate), 0) AS TransDateQuart, dbo.DealTransactions.DealTransType,
dbo.DealTransTypes.DealTransTypeName AS TransactionType, dbo.DealTransactions.DealTransAmount,
dbo.DSGvwInvestorPercentage.InvestorPercentage * dbo.DealTransactions.DealTransAmount / 100 AS InvestorAssumption,
dbo.DSGvwInvestorPercentage.InvestorPercentage, dbo.DealTransactions.DealTransDate AS TransDateActual
FROM dbo.DealTransactions INNER JOIN
dbo.DSGvwInvestorPercentage ON dbo.DealTransactions.DealId = dbo.DSGvwInvestorPercentage.DealID INNER JOIN
dbo.DealTransTypes ON dbo.DealTransactions.DealTransType = dbo.DealTransTypes.DealTransTypeId
GROUP BY dbo.DealTransTypes.DealTransTypeName, dbo.DealTransactions.DealTransAmount, dbo.DealTransactions.DealId,
dbo.DSGvwInvestorPercentage.InvestorID, dbo.DSGvwInvestorPercentage.InvestorPercentage * dbo.DealTransactions.DealTransAmount / 100,
dbo.DealTransactions.DealTransType, dbo.DSGvwInvestorPercentage.InvestorPercentage, dbo.DealTransactions.DealTransId,
dbo.DealTransactions.DealTransDate
ORDER BY dbo.DealTransactions.DealId, dbo.DSGvwInvestorPercentage.InvestorID, dbo.DealTransTypes.DealTransTypeName,
dbo.DealTransactions.DealTransAmount
Hello,
I have a table that contains rows which are either a type logon or logoff (this is determined by the column 'Type', which is either 'LogOn' or 'LogOff').
Other columns are LogOnID (an autonumber, primary key), UserID and Time.
I would like to pair log ons with log offs for users in a given day.
I am currently using the following query:
SELECT
l1.UserID, l1.Time AS 'Log On', l2.Time AS 'Log Off'
WHERE
l1.UserID = l2.UserID
AND l1.Type = 'LogOn' AND l2.Type = 'LogOff'
AND l1.Time > '2008-05-12 00:00:00.000' AND l1.Time < '2008-05-12 23:59:59.000'
AND l2.Time > '2008-05-12 00:00:00.000' AND l2.Time < '2008-05-12 23:59:59.000'
However this is flawed, as if a person logs in multiple times, it will pair each log on with each log off.
Is there a way to put them into pairs so that I get a log on and pair it with the log off that has the smallest time difference between it and the log on? So, for instance, if I have a log on at 12:30, it would pair with the log off at 13:30, rather than 13:45, as the 13:30 is the closer one, and so must be the one associated with that log on.
It gets even worse, too, because it is possible to have multiple logins in a row without a log off (so it could go log in, log in, log in, log off, log in, log off, for instance), but it should pair the LAST login with the log off (if you see what I mea, in the instance before, the third log in should be associated with the log off).
It seems like a tall order, and I don't know how to do it myself. Perhaps I could pair them based on the smallest difference between the ID, as this is just an incrementing number. Again, I wouldn't know how to do this.
If anyone could shed any light on how this might be possible I would appreciate it.
Thanks,
Simon
Hello,
I€™m trying to find pairs in my data.
A pair is two (and only two) products €“ both were bought by two different customers.
The more customers bought the same two products, the stronger the pair is.
So the rules I€™m looking for should be something like that:
X <=> Y & importance of the rule. That€™s it.
I thought association algorithm will do the work and I tried to play with the parameters, but I just couldn€™t get there.
Is it possible doing it with association algorithm?
(If it€™s not possible) what are my options? Writing a plug-in?
Hello,
I have the following problem.
I a making reports based on a database that i do not control.
In that database i have a table with statistical data including a field with datetime informtion.
The format of the data I receive is "5/04/2007 7:43:27".
In my report i want to create a group which groups my event by date : "05/04/2007"
In my output i always get subgroups by date & time so "5/04/2007 7:43:27", "5/04/2007 7:43:28", ....
How can i group only on the date.
Vincent
Hope this is the right forum. I'm using Transaction=required on a page which inserts on multiple tables, 2 of which have a foreign key relationship. All works fine as log as I don't input erroneous data. However, I have a range check in the code, and if the range is exceeded, an exception is thrown and the transaction fails using ContextUtil.SetAbort(). I then correct the data and try to save and get a Foreign key contraint error. I have debugged and the primary key table seems to be carrying out the insert ok (I'm retreiving the key at that point, and can see it). But when I use the key in the child table it fails and cites the foreign key relationship.
I suspect that having the same data for the primary key table 2nd time around means it doesn't think it has to commit????
Grateful for any help. I'm using Sqlserver 2005 by the way.
I'm adding up quantities of an item that are entered in one after another, so the date is the same, but the time differs.
I used the "first" function in access which works the way I want, but sql7 doesn't use the same function. The "convert" function does not work in access but Here is the gist of the query:
SELECT first(CONVERT(varchar,transactions.tran_date,101)) AS [trandate], transactions.tran_type,
SUM(transactions.qty) AS totqty,...etc.
thanx,
Herb
Hi Guys,
I want to group the records on the time difference
declare @tbl as table(id int,intid int,val int,dt datetime)
insert into @tbl
select 1,1,10,'03/31/2006 15:05:22' union all
select 2,1,12,'03/31/2006 15:10:22' union all
select 3,1,15,'03/31/2006 15:15:22' union all
select 4,1,12,'03/31/2006 15:25:22' union all
select 5,1,8,'03/31/2006 15:30:22' union all
select 6,1,6,'03/31/2006 15:35:22' union all
select 7,1,4,'03/31/2006 15:40:22' union all
select 8,1,3,'03/31/2006 15:45:22' union all
select 9,1,10,'03/31/2006 15:50:22'
declare @tbl1 as table(intid int,Tm int,val int)
insert into @tbl1
select 1,5,10
I want a output such that when the val in @tbl goes below the val in @tbl1 for the Tm mentioned in @tbl1
then the time difference should be shown.For example record 1 it starts with 10 the records remain more than 10 till
record number 5.From 5 the records remains lower than 10 till record number 9.So I need to show the the time
difference from record number 5 till 9.
But there is a catch.In @tbl1 there is column named Tm.The time difference sould be calculated only if the diff
more than Tm value in @tbl1.
For example if the value of Tm is changed to say 25 then the there is no need to show the time difference since the
time difference value from record 5 to record 9 is less than 25.
Hope I am clear.
Please help me out.
Regards
In SQL Server 2005, I want to do a set query on the following data that results in 3 groups:
Id
EventName
EventTime
1
First
41:40.2
2
First
41:41.6
3
First
41:43.1
4
First
41:44.4
5
Second
41:46.4
6
Second
41:48.3
7
Second
41:49.7
8
First
41:51.2
9
First
41:53.3
10
First
41:55.0
So, I want to have a query that returns one aggregate row for each of rows 1-4, 5-7 and 8-10 based on the EventName. Every time EventName 'changes' in the order that I sort it, I want to start a new grouping:
Group
EventName
Count
1
First
4
2
Second
3
3
First
3
With this query, I could also get the Min() and Max() EventTime for each group, etc.
However, this is proving difficult to do in set SQL. Obviously, if I group on EventName, then rows 1-4 *and* 8-10 will be rolled into my 'First' group. However, there is no other partitioning information that I can factor in that splits this data into *only* 3 groups, based on the order of the Event Time.
I have tried the various ranking functions, but the problem persists through any combination of function, PARTITION BY and ORDER BY that I can find.
Any insights would be appreciated!
There is a database "Foo" sitting on server "A". There is a database "Bar" sitting on server "B". A.Foo publishes a subset of its schema. B.Bar subscribes to A.Foo's publication. The distribution database is on "B" (B.distributor). This a push subscription (transactions are pushed to the subscriber from the distributor). Every day (including the weekend) I get the following alert:
"5/12/2015 3:53:16 AM, Unsubscribed Transactions (Count) on "B" is Warning.
SQL Server instance "B" has 636771 unsubscribed replication transactions received by the Distributor and not received by a Subscriber.
Unsubscribed Transactions (Count): Number of replication transactions received by the Distributor and not received by a Subscriber."
The number of transactions will vary. The alerts will be sent between 1:20 AM (EST) and 3:30 AM (EST). I'm trying to figure out what is causing the backup of transactions. I assume the issue precedes the alerts by 30-minutes or so.
There are no backups occurringNothing is blocking the distributor agent in the subscription databaseJob activity is at a minimum; the few jobs running run throughout the dayThe machine has plenty of resources -- CPU, RAM, etc.The publisher database shows no signs of stress.
To give you some context we have a new amendments application (nothing fancy, excel based with SQL Server back end) that allows users to submit amendments to product data (Product Info, PO Prices, Dates etc.). There is also an admin tool that a team uses to action these amendments in the various systems.
The old version of this tool, users submitted amendments by style and could if need be submit multiple amendments against one product at the same time. The new tool, I believe for audit reasons, users submit by amendment type, so for example I would submit a cost price change for a given style.
The issue now is that on the occasions where a user has multiple amendments, they now come through separately. So cost price would be Amendment 1 and a date change would be amendment 2 even though they could be the same product. This could potentially mean that the admin team would be duplicating work if the paperwork is updated and sent after each amendment, whereas before they would make both changes and only send the paperwork once.
Having not built either of these tools, I've been tasked with trying to fix this, my two thoughts being either to amend the user form to somehow capture/ allow users to submit amendments together or try to use the existing data and doing the grouping dynamically in the back end. Use that lag to look at grouping any submitted amendments that occur within 30mins of the first occurrence of that style
This grouping would then be given a joint time so when the 'time lag' period passes the amendments will be visible together.I've tried a few things and a few head on desk moments trying to get a set based approach but haven't been able to get where i want, its either an issue where amendments span an hour, such as 9:59 and then 10:03 or grouping together amendments that happen after the 30mins of the first one.
Here is some sample data
USE FF_Winning_Together;
IF OBJECT_ID(N'tempdb..#AmendTest',N'U') IS NOT NULL
DROP TABLE #AmendTest;
CREATE TABLE #AmendTest
(
AmendmentIDINT IDENTITY(1,1)NOT NULL,
StyleCHAR(1)NOT NULL,
AmendmentStatusVARCHAR(10)NOT NULL,
DTDATETIMENOT NULL
[code]....
I have a table of People and their ID, the starting month (a fixed number of months, say 10 for this), the ending month, and the percent of work time (0-1 being 0-100%). If they have a % work of 0, I do not want to see anything. But if the % changes, from say .5 to .75, I would need the first and last month they were at .5, and the first and last month they were at .75
The Table:
/****** Object: Table [dbo].[TestProject] Script Date: 02.07.2014 10:15:08 ******/
IF OBJECT_ID('TempDB..#TestProject2','U') IS NOT NULL
DROP TABLE [dbo].[#TestProject2]
GO
CREATE TABLE [dbo].[#TestProject2](
ID INT IDENTITY(1,1) PRIMARY KEY CLUSTERED,
[Code] ....
The data:
--===== All Inserts into the IDENTITY column
SET IDENTITY_INSERT #TestProject2 ON
INSERT INTO #TestProject2
("ID","PersonID", "PercentLoad","MonthID")
SELECT 1,123456,0,1 UNION ALL
[Code] ....
EXPECTED RESULT:
Person ID StartMonth EndMonth LOADPCT
123456 3 4 .5
123456 5 6 1
654321 1 2 1
654321 4 4 .5
654321 5 6 .75
654321 7 9 .5
Hi there,
I have decided to move all my transaction handling from asp.net to stored procedures in a SQL Server 2000 database. I know the database is capable of rolling back the transactions just like myTransaction.Rollback() in asp.net. But what about exceptions? In asp.net, I am used to doing the following:
<code>Try 'execute commands myTransaction.Commit()Catch ex As Exception Response.Write(ex.Message) myTransaction.Rollback()End Try</code>Will the database inform me of any exceptions (and their messages)? Do I need to put anything explicit in my stored procedure other than rollback transaction?
Any help is greatly appreciated
I'm really stumped on this one. I'm a self taught SQL guy, so there is probobly something I'm overlooking.
I'm trying to get information like this in to a report:
WO#
-WO Line #
--(Details)
--Work Order Line Detail #1
--Work Order Line Detail #2
--Work Order Line Detail #3
--Work Order Line Detail #etc
--(Parts)
--Work Order Line Parts #1
--Work Order Line Parts #2
--Work Order Line Detail #etc
WO#
-WO Line #
--(Details)
--Work Order Line Detail #1
--Work Order Line Detail #2
--Work Order Line Detail #3
--Work Order Line Detail #etc
--(Parts)
--Work Order Line Parts #1
--Work Order Line Parts #2
--Work Order Line Parts #etc
I'm unable to get the grouping right on this. Since the line details and line parts both are children of the line #, how do you do "parallel groups"?
There are 4 tables:
Work Order Header
Work Order Line
Work Order Line Details
Work Order Line Requisitions
The Header has a unique PK.
The Line uses the Header and a Line # as foreign keys that together are unique.
The Detail and requisition tables use the header and line #'s in addition to their own line number foreign keys. My queries ends up looking like this:
WO WOL WOLR WOLD
226952 10000 10000 10000
226952 10000 10000 20000
226952 10000 10000 30000
226952 10000 10000 40000
226952 10000 20000 10000
226952 10000 20000 20000
226952 10000 20000 30000
226952 10000 20000 40000
399999 10000 NULL 10000
375654 10000 10000 NULL
etc
Hierarchy:
WO > WOL > WOLD
WO > WOL > WOLR
It probobly isn't best practice, but I'm kinda new so I need some guidance. I'd really appreciate any help! Here's my query:
SELECT [Work Order Header].No_ AS WO_No, [Work Order Line].[Line No_] AS WOL_No,
[Work Order Requisition].[Line No_] AS WOLR_No, [Work Order Line Detail].[Line No_] AS WOLD_No
FROM [Work Order Header] LEFT OUTER JOIN
[Work Order Line] ON [Work Order Header].No_ = [Work Order Line].[Work Order No_] LEFT OUTER JOIN
[Work Order Line Detail] ON [Work Order Line].[Work Order No_] = [Work Order Line Detail].[Work Order No_] AND
[Work Order Line].[Line No_] = [Work Order Line Detail].[Work Order Line No_] LEFT OUTER JOIN
[Work Order Requisition] ON [Work Order Line].[Work Order No_] = [Work Order Requisition].[Work Order No_] AND
[Work Order Line].[Line No_] = [Work Order Requisition].[Work Order Line No_]
Hi all,
I have created a report in SSRS 2005 which is being viewed by users from different Time Zones.
I have a dataset which has a field of type datetime (UTC). Now I would like to display this Date according to the User Time Zone.
For example if the date is August 07, 2007 10:00 AM UTC,
then I would like to display it as August 07, 2007 03:30 PM IST if the user Time Zone is IST.
Similarly for other Time Zones it should display the time accordingly.
Is this possible in SSRS 2005?
Any pointers will be usefull...
Thanks in advance
sudheer racha.
Sample Table
USE [Testing]
GO
/****** Object: Table [dbo].[Testing] Script Date: 4/25/2014 11:08:18 AM ******/
SET ANSI_NULLS ON
GO
SET QUOTED_IDENTIFIER ON
[Code] ....
It seems to work fine with one million records.
Each primary key is unique, but the begindate is non-unique, and i guess even if i use datetime2 and add nanoseconds, from what i have read, there is a chance that i could have a duplicate datetime since the date is imported via XML from multiple sources.
Is there a way to keep track in real time on how long a stored procedure is running for? So what I want to do is fire off a trace in a stored procedure if that stored procedure is running for over like 5 minutes.
View 5 Replies View RelatedI am trying to load previous days data at 3 am via a SSIS job.
The Date variable is initiated as DATEADD("dd",-1, GETDATE()) in the for loop.
Now, as this job runs at 3 am, and I set the variable as GETDATE() - 1, it excluded the data from 12 am to 3 am in the resultset as Date is set as YYYY-MM-DD 03:00:00:000 I need this to be set as YYYY-MM-DD 00:00:00:000
How can i do this?Â
I hope to update a DateTime column value with a Time input parameter.  Poor attempt below but it looks like the @ApptTime param is coming in as 10:45:00.0000000 and I might have an existing @SendOnDate as: 2015-10-05 07:00:00.000...I hope to end up with 2015-10-05 10:45:00.000
ALTER PROCEDURE [dbo].[SendEditUPDATE]
@QuePoolID int=null
,@ApptTime time(7)
,@SendOnDate datetime
[code]...
I am using VS2005 (VB) to develop a PPC WM5.0 Program. And I am using SQLCE 3.0. My PPC Hardware is in 400MHz.
The question is when the program try to insert the first record into sdf database after each time the program started. It takes a long time. Does anyone know why and how can I fix it?
I will load the whole database into a dataset when the program start and do all the "Insert", "Update", "Delete" in this dataset and fill it into database after each action.
cn.Open()
sda = New SqlCeDataAdapter(SQL, cn) 'SQL = Select * From Table
scb = New SqlCeCommandBuilder(sda)
sda.Update(dataset)
cn.Close()
I check the sda.update(), it takes about 0.08s for filling one record into database normally. But:
1. Start the PPC Program
2. Load DB into dataset
3. Create a ONE new record in dataset
4. Fill back to DB
When I take this four steps everytime, the filling time is almost 1s or even more!
Actually, 0.08s is just a normal case. Sometimes, it still takes over 1s to filling back a dataset which only inserted one record when the program is running. (Even all inserted records are exactly the same in data jsut different in the integer key)
However, when I give up the dataset and using the following code:
cn.Open()
Dim cmd As New SqlCeCommand(SQL, cn) ' I have build the insert SQL before (Insert Into Table values(XXXXXXXXXXXXXXX All field)
cmd.CommandType = CommandType.Text
cmd.ExecuteNonQuery()
cn.Close()
StartTime = Environment.TickCount
I found that it is still the same that the first inserted record takes more time, but just about 0.2s. And the normal insert time is around 0.02s. It is 4 times faster!!!
SELECTÂ
  CONVERT(VARCHAR(10),attnc_chkin_dt,101) as INDATE,
  CONVERT(VARCHAR(10),attnc_chkin_dt,108) as TimePart
FROM pmt_attendance
o/p
indate   04/18/2015
time part :17:45:00
I need to convert this 17:45:00 to 12 hours date format...
Hi,
We need to select rows from the database that have been recently inserted/updated. We have a main primary table (COMMIT_TEST) and a second update table (COMMIT_TEST_UPDATE). The update table contains the primary key and a LAST_UPDATE field which is a datetime (to tell us when an update occurred). Triggers on the primary table are used to populate the update table.
If we insert or update the primary table in a transaction, we would expect that the datetime of the insert/update would be at the commit, however it seems that the insert/update statement is cached and getdate() is executed at the time of the cache instead of the commit. This causes problems as we select rows based on LAST_UPDATE and a commit may occur later but the earlier insert timestamp is saved to the database and we miss that update.
We would like to know if there is anyway to tell the SQL Server to not execute the function getdate() until the commit, or any other way to get the commit to create the correct timestamp.
We are using default isolation level. We have tried using getdate(), current_timestamp and even {fn Now()} with the same results. SQL Queries that reproduce the problem are provided below:
/* Different functions to get current timestamp €“ all have been tested to produce the same results */
/*
SELECT GETDATE()
GO
SELECT CURRENT_TIMESTAMP
GO
SELECT {fn Now()}
GO
*/
/* Use these statements to delete the tables to allow recreate of the tables */
/*
DROP TABLE COMMIT_TEST
DROP TABLE COMMIT_TEST_UPDATE
*/
/* Create a primary table and an UPDATE table to store the date/time when the primary table is modified */
CREATE TABLE dbo.COMMIT_TEST (PKEY int PRIMARY KEY, timestamp) /* ROW_VERSION rowversion */
GO
CREATE TABLE dbo.COMMIT_TEST_UPDATE (PKEY int PRIMARY KEY, LAST_UPDATE datetime, timestamp ) /* ROW_VERSION rowversion */
GO
/* Use these statements to delete the triggers to allow reinsert */
/*
drop trigger LOG_COMMIT_TEST_INSERT
drop trigger LOG_COMMIT_TEST_UPDATE
drop trigger LOG_COMMIT_TEST_DELETE
*/
/* Create insert, update and delete triggers */
create trigger LOG_COMMIT_TEST_INSERT on COMMIT_TEST for INSERT as
begin
declare @time datetime
select @time = getdate()
insert into COMMIT_TEST_UPDATE (PKEY,LAST_UPDATE)
select PKEY, getdate()
from inserted
end
GO
create trigger LOG_COMMIT_TEST_UPDATE on COMMIT_TEST for UPDATE as
begin
declare @time datetime
select @time = getdate()
update COMMIT_TEST_UPDATE
set LAST_UPDATE = getdate()
from COMMIT_TEST_UPDATE, deleted, inserted
where COMMIT_TEST_UPDATE.PKEY = deleted.PKEY
end
GO
/* In our application deletes should never occur so we don€™t log when they get modified we just delete them from the UPDATE table */
create trigger LOG_COMMIT_TEST_DELETE on COMMIT_TEST for DELETE as
begin
if ( select count(*) from deleted ) > 0
begin
delete COMMIT_TEST_UPDATE
from COMMIT_TEST_UPDATE, deleted
where COMMIT_TEST_UPDATE.PKEY = deleted.PKEY
end
end
GO
/* Delete any previous inserted record to avoid errors when inserting */
DELETE COMMIT_TEST WHERE PKEY = 1
GO
/* What is the current date/time */
SELECT GETDATE()
GO
BEGIN TRANSACTION
GO
/* Insert a record into the primary table */
INSERT COMMIT_TEST (PKEY) VALUES (1)
GO
/* Simulate additional processing within this transaction */
WAITFOR DELAY '00:00:10'
GO
/* We expect at this point that the date is written to the database (or at least we need some way for this to happen) */
COMMIT TRANSACTION
GO
/* get the current date to show us what date/time should have been committed to the database */
SELECT GETDATE()
GO
/* Select results from the table €“ we see that the timestamp is 10 seconds older than the commit, in other words it was evaluated at */
/* the insert statement, even though the row could not be read with a SELECT as it was uncommitted */
SELECT * FROM COMMIT_TEST
GO
SELECT * FROM COMMIT_TEST_UPDATE
Any help would be appreciated, we understand we could make changes to the application/database to approximate what we need, but all the solutions have identified suffer from possible performance issues, or could still lead to missing deals (assuming the commit time is larger than some artifical time window).
Regards,
Mark
I need to do a time test for restoring an Azure SQL database from a point in time. Can I automate this through PowerShell.
View 3 Replies View RelatedI need to take a temporary table that has various times stored in a text field (4:30 pm, 11:00 am, 5:30 pm, etc.), convert it to miltary time then cast it as an integer with an update statement kind of like:
Update myTable set MovieTime = REPLACE(CONVERT(CHAR(5),GETDATE(),108), ':', '')
how this can be done while my temp table is in session?
I have a table called employee_punch_record that we use to store employee time clock punches.
The columns are:
employeeid,
punch_timestamp,
punch_type (In / Out),
closed (bit used as status for open or closed pay periods),
ident
Here are some examples of a record:
bkingery62015-10-06 16:59:04.000In0
bkingery72015-10-06 16:59:09.000Out0
bkingery82015-10-06 16:59:13.000In0
bkingery92015-10-06 18:22:44.000Out0
bkingery102015-10-06 18:22:46.000In0
bkingery112015-10-06 18:22:48.000Out0
bkingery122015-10-06 18:22:51.000In0
tfeller52015-10-05 17:00:05.000In0
We are using SQL Server 2008 as our database and use Access as a GUI. I am looking to create a form in Access where employees can access their time card and request changes from management. I want to use the format from the attached screen shot for the form. I pretty much know how to do it all, the only point of complication is trying to figure out the easiest way to get the transaction punch record data on employee_punch_record into a format where I can easily populate the form in the horizontal format you see in the screen shot.
I am not super strong in SQL, but figure I can do it using a formatting table of some sort. quick and easy way to move transaction records into a more horizontally oriented record?
Hi all,
I have a very simple time series model which processing works fine without any problem. However when I run the following query
SELECT
[TimeSeries].[PriceChange],
[TimeSeries].[Symbol],
PredictTimeSeries(PriceChange, -3, 2)
From
[TimeSeries]
WHERE
[TimeSeries].[Symbol] = 'x'
I get the following error:
TITLE: Microsoft SQL Server 2005 Analysis Services
------------------------------
Error (Data mining): A time series prediction was requested with a start time further in the past than the internal models of the mining model, TimeSeries, specified in the HISTORIC_MODEL_GAP and HISTORIC_MODEL_COUNT parameters can process.
The following is the excerpt of the minding model script related to the two parameters:
<AlgorithmParameters>
<AlgorithmParameter>
<Name>MISSING_VALUE_SUBSTITUTION</Name>
<Value xsi:type="xsdtring">Previous</Value>
</AlgorithmParameter>
<AlgorithmParameter>
<Name>HISTORIC_MODEL_GAP</Name>
<Value xsi:type="xsd:int">1</Value>
</AlgorithmParameter>
<AlgorithmParameter>
<Name>HISTORIC_MODEL_COUNT</Name>
<Value xsi:type="xsd:int">10</Value>
</AlgorithmParameter>
</AlgorithmParameters>
These HISTORIC_MODEL_GAP (1) and HISTORIC_MODEL_COUNT (10) should accommodate PredictTimeSeries(PriceChange, -3, 2). Could anyone shed some light on this?
we have problems with our SQL Reporting Service 2012 (SSRS) server . We have setup Kerberos delegation between SSRS and the database server (SQL Server Always-on cluster) so users are authenticated down to the database. The issue occurs from time to time that SSRS loses the ability to delegate the user credentials to the database. At this point in time the Report Server logs contain rejected database connections because of ANONYMOUS logon. After restarting SSRS the problem is gone.
View 2 Replies View RelatedHi,
I have a table which has a few fields, one being "datetime_traded". I need to write a query which returns the row which has the closest time (down to second) given a date/time. I'm using MS SQL.
Here's what I have so far:
Code:
select * from TICK_D
where datetime_traded = (select min( abs(datediff(second,datetime_traded , Convert(datetime,'2005-05-30:09:31:09')) ) ) from TICK_D)
But I get an error - "The conversion of a char data type to a datetime data type resulted in an out-of-range datetime value.".
Does anyone know how i could do this? Thanks a lot for any help!
Ok, so I have some horribly convuluted SQL that I would love to optomize. I'm not happy leaving it in it's current state, that's for sure!
I'm currently working on our test bed servers, so obviously my stats are out because of the "crap-ness" (yes, that's the technical term) of the hardware, but still, it should NEVER need to take this long!!
Basically, the issue arises in the nasty join to the career table (one employee can have multiple career lines). Just to make things complicated, employees can have any number of career records on any given date, these can even be input for future career events. The following SQL picks out the latest-current career date for each employee based on the career_date being <= GetDate() and the date of entry for this date being the greatest.
E.g.
career_date | datetime_created
2009-01-01 | 2006-05-05 13:55:21.000
2007-01-01 | 2006-05-05 13:54:18.000
2007-01-01 | 2006-05-05 13:52:55.000
From the above we want to return
2007-01-01 | 2006-05-05 13:54:18.000
SET STATISTICS IO ON
SET STATISTICS TIME ON
SELECT a.sAMAccountNameAs 'sAMAccountName'
, a.userPrincipalNameAs 'userPrincipalName'
, 'TRUE'As 'Modify'
, RTRIM(e.unique_identifier)As 'employeeID'
, RTRIM(e.employee_number)As 'employeeNumber'
, RTRIM(e.known_as)
+ CASE WHEN RTRIM(e.surname) IS NOT NULL THEN
' ' + RTRIM(e.surname) ELSE NULL ENDAs 'displayName'
, RTRIM(e.known_as)As 'givenName'
, RTRIM(e.surname)As 'sn'
, RTRIM(c.job_title)As 'title'
, RTRIM(c.division)As 'company'
, RTRIM(c.department)As 'department'
, RTRIM(l.description)As 'physicalDeliveryOfficeName'
, RTRIM(REPLACE(am.dn,'\',''))As 'manager'
, t.full_mobile
+ CASE WHEN RTRIM(t.mobile_number) IS NOT NULL THEN
' (DD: ' + RTRIM(t.mobile_number) + ')'ELSE NULL END
As 'mobile'
, t.mobile_numberAs 'otherMobile'
, ad.address_ad_countryAs 'c'
, ad.address_ad_address1
+ CASE WHEN ad.address_ad_address2 IS NOT NULL THEN
', ' + ad.address_ad_address2 ELSE NULL END
+ CASE WHEN ad.address_ad_address3 IS NOT NULL THEN
', ' + ad.address_ad_address3 ELSE NULL END
+ CASE WHEN ad.address_ad_address4 IS NOT NULL THEN
', ' + ad.address_ad_address4 ELSE NULL END
+ CASE WHEN ad.address_ad_address5 IS NOT NULL THEN
', ' + ad.address_ad_address5 ELSE NULL ENDAs 'streetAddress'
, ad.address_ad_poboxAs 'postOfficeBox'
, ad.address_ad_cityAs 'l'
, ad.address_ad_CountyAs 'st'
, ad.address_ad_postcodeAs 'postalCode'
, RTRIM(ad.address_ad_telephone) +
CASE WHEN RTRIM(a.othertelephone) IS NOT NULL
AND RTRIM(ad.address_ad_telephone) IS NOT NULL THEN
' (Ext: ' + RTRIM(a.othertelephone) + ')'
ELSE
CASE WHEN RTRIM(a.othertelephone) IS NOT NULL
AND RTRIM(ad.address_ad_telephone) IS NULL THEN
'Ext: ' + RTRIM(a.othertelephone)
ELSE NULL
END
ENDAs 'telephoneNumber'
FROM employee e
LEFT
JOIN career c
ON c.parent_identifier = e.unique_identifier
AND c.career_date =(
SELECTmax(c2.career_date)
FROMpwa_master.career c2
WHEREc2.parent_identifier = c.parent_identifier
ANDc2.career_date <= GetDate()
)
AND c.datetime_created =(
SELECT max(c3.datetime_created)
FROMpwa_master.career c3
WHEREc3.parent_identifier = c.parent_identifier
ANDc3.career_date = c.career_date
)
LEFT
OUTER
JOIN AD_Import am
ON am.employeeNumber = c.manager_number
INNER
JOIN AD_Import a
ON a.employeeID = e.unique_identifier
LEFT
JOIN AD_Telephone t
ON t.unique_identifier = e.unique_identifier
LEFT
JOIN AD_Address ad
ON ad.address_pwa_location = e.location
LEFT
JOIN xlocat l
ON l.code = c.location
WHERE (a.employeeNumber IS NOT NULL
OR a.employeeID IS NOT NULL)
SQL Server Execution Times:
CPU time = 0 ms, elapsed time = 0 ms.
(1706 row(s) affected)
Table 'AD_Import'. Scan count 4, logical reads 106, physical reads 0, read-ahead reads 0.
Table 'AD_Address'. Scan count 1, logical reads 2, physical reads 0, read-ahead reads 0.
Table 'AD_Telephone'. Scan count 2, logical reads 10, physical reads 0, read-ahead reads 0.
Table 'Worktable'. Scan count 868, logical reads 956, physical reads 0, read-ahead reads 0.
Table 'xlocat'. Scan count 2, logical reads 8, physical reads 0, read-ahead reads 0.
Table 'career'. Scan count 5088, logical reads 2564843, physical reads 0, read-ahead reads 0.
Table 'people'. Scan count 1697, logical reads 5253, physical reads 0, read-ahead reads 0.
Table 'Worktable'. Scan count 826, logical reads 914, physical reads 0, read-ahead reads 0.
SQL Server Execution Times:
CPU time = 15203 ms, elapsed time = 8114 ms.
Any advice on what I can do to optomize?
Oh judt to point out that "employee" is a view on the "Table 'people'."
EDIT: I know it's pointing out the obvious, but I'm pulling out the managers "DN" from AD_Import based on the manager_number and employeeNumber matching.
I need a formula to calculate the time (let's say in minutes) between two dates/times.
The problem is that I have to exclude the time between 06 PM and 06 AM and also exclude the time in the weekend (Saturday and Sunday).
I will use this in a couple of reports made in Reporting Services.
If anyone have an algoritm that could be modified for this and is willing to share this I would be very grateful.
Many thanks!
/Per Lissel
Hi all,
I have created several global temp tables to cache some intermediate results ...
However, it seems that after a while those tables will be dropped by SQL Server 2005 automatically (I have not restarted the server and no drop table statement ever executed against those tables). Is this a feature by design? How to make those global temp tables persistence to next service restart?
Thanks,
Ning
I wanted to know how we can handle Time Zones and Daylight Savings Time in SQL Server 2000 as well as 2005.
Any pointers would be helpful.
Pranav
At the moment I already added the DataSet I'm gonna be using. I have 2 date parameters Start Time and End Time.
What I would like to do  for the report is to only pull results greater than 48 hours to the report
How can I accomplish this?