;WITH cte
AS
(
SELECT
SYMBOL,
[Time],
Price,
ROW_NUMBER() OVER(PARTITION BY CONVERT(CHAR(5), CAST(Time AS DATETIME), 114) ORDER BY CAST(Time AS DATETIME) ASC) AS rn_1,
ROW_NUMBER() OVER(PARTITION BY CONVERT(CHAR(5), CAST(Time AS DATETIME), 114) ORDER BY CAST(Time AS DATETIME) DESC) AS rn_2
FROM
Table1 WHERE SYMBOL='EUR A0-FX'
)
SELECT SYMBOL='EUR A0-FX',CONVERT(CHAR(5), CAST(Time AS DATETIME), 114) AS [Time],MAX(CASE WHEN rn_2 = 1 THEN Price ELSE NULL END) AS [Close] FROM cte
GROUP BY
CONVERT(CHAR(5), CAST(Time AS DATETIME), 114)
ORDER BY
CAST(CONVERT(CHAR(5), CAST(Time AS DATETIME), 114) AS DATETIME);
But I want to add some additional code in my procedure like AVERAGE of Previous 5 Price Values.
So I have this table called "listings"... there are 100 unique listings with an integer ID for each.
I have another table called "ratings"... in there are multiple entries that have a listing_id field and a rating field. The rating field is a value from 0-10.
I want to select ALL "listings" from the listings table... and then sort based on the average number that the multiple rating fields in the ratings table has for that listing.
I CAN NOT figure it out!! Any help would be greatly appreciated. Please respond if I have not explained this properly. Thanks in advance.
Let me explain. When retrieving a row, an extra column should be added.It's value should be the sum of previous rows whose type is the same with the encountered one. I made it with a function but it's performance was terible with large tables. I have tables larger then fifty housands rows.
Hi,In oracle I have a LAG function using which I could get the previousvalue of a field.Do we have anything similar to that in SQL Server or access?ThanksDevi
Wow, this board has gotten really busy lately - maybe 2007 is the year that a lot more people start using SSIS :)
Anyway my question is this: If I have an ordered set of data in the data flow and I want to add a column, lets just say "previousID" that basically has the ID value of a column from the row immediately before it - what is the most effecient way of doing that?
I've done much more complicated things with running averages, mean, etc by creating an asynchronous script transformation, pushing the data into a datatable in memory and looping through row by row using variables etc to do the calcs... but I just have this feeling that there is a "lighter, faster, easier" way for just getting previous row's value (with some special rows like first row has a null etc) than looping through a datatable row by row.
Can you push the buffer into an array (if so anyone have an example script) and use simple "n-1" logic? (ie using the array index)
I'm guessing this is a fairly straight forward need, but want to make sure I am using the correct set of tasks:
In the dataflow, some values I need to carry forward from the previous row, such as a balance that I need to carry forward for the current customer record. This is similar to a running total, only I am not summing anything, but just carrying over from the previous records value (assuming dataset is sorted correctly, first by customer #, then by date).
Do I need the Dervied Column transform, and use a variable to store the previous value, or is there another transform that would be better suited?
I've tried all sorts of code i.e. cross apply, running totals, etc. Cannot get this to work. I am trying to add a previous row value but only doing it for each group.
I would like to set the start time of the next row to be equal to the previous row time + duration. I know the start time of each group of 'Items' when the 'Sequence' number = 1. The last 'duration' value in the group would be ignored.
Hello,I know that I've seen this question asked on here before, but I can'tfind an answer that gives me the performance that I need.I have a table that stores events for users:CREATE TABLE Lead_Action_History (lead_action_seq INT IDENTITY NOT NULL,lead_action_date DATETIME NOT NULL,lead_seq INT NULL,operator_id VARCHAR(20) NOT NULL,call_time INT NOT NULL,CONSTRAINT PK_Lead_Action_History PRIMARY KEY (lead_action_seq) )GOThe table has a foreign key to another table through the lead_seqcolumn:CREATE TABLE Lead_Master (lead_seq INT IDENTITY NOT NULL,state CHAR(2) NOT NULL,CONSTRAINT PK_Lead_Master PRIMARY KEY (lead_seq) )GOI need to write a query that will give me a sum of call_time brokendown by a column that is in the table joined through the lead_seq.However, if the lead_seq for a row is NULL then I need to use thelead_seq for the previous row (based on lead_action_date) for the sameoperator.This is what I came up with:SELECT LM.state, SUM(call_time)FROM Lead_Action_History LAHINNER JOIN Lead_Master LM ON (LM.lead_seq = LAH.lead_seq)OR (LAH.lead_seq IS NULLAND LM.lead_seq = (SELECT TOP 1LAH2.lead_seqFROMLead_Action_History LAH2WHERELAH2.operator_id = LAH.operator_idAND LAH2.lead_seqIS NOT NULLORDER BYLAH2.lead_action_date DESC))GROUP BY LM.stateThe problem is that Lead_Action_History has millions of records andany solution that I've found involves one or more subqueries on itwhich kills performance. I am going to look at using a covering indexwith the solution above, but I thought that someone here might haveanother way of doing this.I can't really change the structure, but I can play with the indexing.I would still be curious though how other people model this type oftemporal data in a way that makes it easy to work with.Thanks!-Tom.
I wanted to check the previous and next record values.
For example:
sKey NextKey PreviousKey
1 2 Null 2 8 1 8 5 2 5 null 8
Ex : In the first record of the table, the NextKey is pointing to 2. So the next record of Skey will be 2. The Next Key for this record is 8. Like wise the next record of this should have the Skey as 8.
Now I need to check whether the NextKey and SKey are correct for all rows.
For that I need to check the previous record of "Next key" and next record of "Skey".
I am working on a rewards program and I have a table whenever customer completes a trip, his total fare,business points earned for that particular trip and respective Promotional points gets inserted.
Now I have a scenario whenever customer business points accumulates to 10 then need to award 3 promotional points.
If Business Points=14 for a single trip then for the first 10 points respective Promo points will be awarded and the remaining 4 points should get carry forward for the next trip and this 4 points should get accumulated with the next trip Business Points and so on.
Basically need to check for every 10 Business points accumulated award some Promo points and carry forward remaining points.
Here is the sample table structure and data :
CREATE TABLE [dbo].[tblRedeems] ( [Mobileno] [varchar](50) NOT NULL, [TripNo] [int] NOT NULL, [CustomerName] [varchar](50) NULL, [TripEndTime] DATETIME NOT NULL,
I need to write a t-sql query that will take the value of the previousrecord into consideration before calculating the current row's newcolumn value...Here's the situation...I have a query which return the following table structure...Full_Name Points----------------- ------------Name1 855Name2 805Name3 800Name4 775Name5 775Name6 741etc.... etc...I need to create a calculated column that tells me where the personranks in point position. The problem i run into is that in thesituation where two or more people have the same point value i need thecalculated rank column to display the same rank number (i.e. 4th orjust "4") I'm not sure how to to take into consideration the previousrow's point value to determine if it is the same as the current onebeing evaluated. If i new they were the same i could assign the samerank value (i.e. 4th or just "4").If any one has any insight that would be great.ThanksJeremy
This code displays dates, File name, and File size for four seperate dates 11/20/2007 , 11/30/2007, 12/30/2007 and 01/31/2007 . I'm trying to show the percentage growth from date to date (ie 11/20/2007 -11/30/2007 percentage growth)
is there a way i can get the previous date file size for each entry, so i can have a variable for the calculation. Or i can get the calculate it within this code (ie database_size_mb / ((database_size_md ) where database_size_datetime -1) *100 or whatever the formula is for percentage growth.
Code Snippet SELECT Database_Size_Datetime, Database_file_name, Database_Size_Mb FROM RC_STAT.dbo.Tbl_Database_Statistics AS Tbl_Database_Statistics_1 GROUP BY Database_Size_Datetime, Database_file_name, Database_Size_Mb
As the Microsoft Time Series algorithm implementation is based upon the Autoregressive Tree approach described in:
C. Meek, D. M. Chickering, D. Heckerman. Autoregressive Tree Models for Time-Series Analysis. In Proc. 2nd Intl. SIAM Conf. on Data Mining, 2002 (SDM-02). SIAM, pp. 229 €“ 244. http://www.siam.org/meetings/sdm02/proceedings/sdm02-14.pdf.
The model estimated is refererred to as an instance of "... autoregressive tree models of length p, denoted ART(p). An ART(p) model is an ART model in which each leaf node of the decision tree contains an AR(p) model, and the split variables for the decision tree are chosen from among the previous p variables in the time series..." (see the last paragraph of p. 2 of the paper).
What is the value of "p" used in the Microsoft Time Series implementation -- specifically, how many previous time series variables are used in estimating the model? It doesn't appear that this value can be specified in the algorithm parameters -- is that correct?
I am pulling down out of range values from a single table on one database to a different table on a different database on a different server (one i have full access to). Basically, it looks something like this:
id1 value1 prev_value1 value2 prev_value2 date prev_date id2 value1 prev_value1 value2 prev_value2 date prev_date id3 value1 prev_value1 value2 prev_value2 date prev_date
all the "prev"'s are null. I want to do one do one query that will get me the previous values and dates for each id from the original database. how to do this.
I have @Year and @Month as parameters , both integers , example @Year = '2013' , @Month = '11'
SELECT T.[Year], T.[Month]
-- select the sum for each year/month combination using a correlated subquery (each result from the main query causes another data retrieval operation to be run) , (SELECT SUM(Stores) FROM #ABC WHERE [Year] = T.[Year] AND [Month] = T.[Month]) AS [Sum_Stores], (SELECT SUM(SalesStores)
[code]....
What I want to do is to add more columns to the query which show the difference from the last month. as shown below. Example : The Diff beside the Sum_Stores shows the difference in the Sum_Stores from last month to this month.
I have a table with 1 million records. I want to update only 400 records. The update statement is provided by a 3rd party vendor. Once i run the update statement it will update all the 400 records. Once the table is updated the users will validate the table
if the update is successful or not. What i'm looking for is:
1) Is there a way to identify what records were updated. 2) If the update done is not what the users wanted i need to undo and bring back the 400 records to their previous values.
Calculation of an average using DAX' AVERAGE and AVERAGEX.This is the manual calculation in DW, using SQL.In the tabular project (we're i've noticed that these 4 %'s are in itself strange), in a 1st moment i've noticed that i would have to divide by 100 to get the same values as in the DW, so i've used AVERAGEX:
The results were, respectively: 701,68; 2120,60...; -669,441; and  finally **-694,74** for Avg_FMPdollar.i can't understand the difference to SQL calculation, since calculations are similar to the other ones. After that i've tried:
test:=SUM([_FMPdollar])/countrows('Fct Sales') AND the value was EQUAL to SQL: -672,17 test2:=AVERAGE('Fct Sales'[_Frontend Margin Percent ACY]), and here, without dividing by 100 in the end, -696,74...
So, AVERAGE and AVERAGEX have a diferent behaviour from the SUM divided by COUNTROWS, and even more strange, test2 doesn't need the division by 100 to be similar to AVERAGEX result.
I even calculated the number of blanks and number of zeros on each column, could it be a difference on the denominator (so, a division by a diferente number of rows), but they are equal on each row.
I have a temp_max column and a temp_min column with data for every day for 60 years. I want the average temp for jan of yr1 through yr60, averaged... I.E. the avg temp for Jan of yr1 is 20 and the avg temp for Jan of yr2 is 30, then the overall average is 25. The complexity lies within calculating a daily average by month, THEN a yearly average by month, in one statement. ?confused?
Here's the original query. accept platformId CHAR format a6 prompt 'Enter Platform Id (capital letters in ''): '
SELECT name, country_cd from weather_station where platformId=&&platformId;
SELECT to_char(datetime,'MM') as MO, max(temp_max) as max_T, round(avg((temp_max+temp_min)/2),2) as avg_T, min(temp_min) as min_temTp, count(unique(to_char(datetime, 'yyyy'))) as TOTAL_YEARS FROM daily WHERE platformId=&&platformId and platformId = platformId and platformId = platformId and datetime=datetime and datetime=datetime GROUP BY to_char(datetime,'MM') ORDER BY to_char(datetime,'MM');
Hello,I have two tables:[Posts] > PostId, ...[Ratings] > RatingId, PostId, RatingI want to select all posts and add a new column named AverageRating.This new column is the average of all ratings associated to that Post.If a post was not rated then its AverageRating would be NULL.How can I do this?Thanks,Miguel
I am getting the number of transactions for two different months based on dates entered from the user. I need to display the number of transactions along with the average sale. I have figured out how to get the dates and sum the transactions but I can't seem to add in the average....
I am at a loss how to calculate the group footer (Result = 30.88 ) which is equal to (96.82 + 26.70 + 0 + 0 ) / 4 . This is the result from the existing Crystal report. I am trying to convert this report to reporting services. Now I cannot nest aggregate functions and also the row number can be dynamic I am confused how to resolve it.
I was hoping someone could help me with pluging moving average into my report.
This is the template I am using for moving average: // /*Returns the average value of a member over a specified time interval.*/ CREATE MEMBER CURRENTCUBE.[MEASURES].[Moving Average] AS Avg ( [<<Target Dimension>>].[<<Target Hierarchy>>].CurrentMember.Lag(<<Periods to Lag>>) : [<<Target Dimension>>].[<<Target Hierarchy>>].CurrentMember, [Measures].[<<Target Measure>>] ) // This calculation returns the average value of a member over the specified time interval. FORMAT_STRING = "Standard";
This is what I have before I started to add the moving average. The report works but only displays the cummulative complexity rank.
What I want to do is also add the moving average for this over the parameter of Iterations. (IterationParam). This is what I have so far with the moving average in my report: I know I must have a lot of errors but I can't get past this first error. I highlighted the line with error. The error said: Query(7, 15) Parser: The syntax for '.' is incorrect. (msmgdsrv)
I have two tables, table a holds all the votes by users of each element in table b. I was wondering, how do I get the average of all those votes in table a that relate to that each instance of a element in table b. For example table b has two elements created by a certain user that has been voted 5 times each by users with scores like 2, 5, 4, 2 , 2 for both of them. I just need to get the average of those numbers that pertain to those elements in table b. Thanks for any help.
Hello all!This might be a newbie question, and there might be something Im just not thinking of right now, but I have a set of values that I need to get the average of but only from the middle 90%. Example:11 <-From here1234456 <- To here.7I thought I could solve it by subqueries and do the following:Select (((Select sum top 5 order asc) + (Select sum top 5 order desc)) - sum total)/rows*0.9 which would give me what I want, but I realised that when aggregating I cant order the subqueries.This is for an application (that will run the query on a sql-server) that only takes one query (although subqueries should be fine), and thats why I have a problem, I cant build any views or things like that.I guess my question is very simple: How can I get a sum of the bottom 5 percent without sorting descending?
