EDIT
I was working on a new report and I tried to make a blank one. Even this one takes ~12 seconds to appear. There's clearly something wrong but I'd like to try possible solutions you might have before reinstalling.
My application has a couple of SSRS reports. They're all simple tables listing the data. In the designer's preview tab, they all appear within 1-3 seconds. The SQL queries or Stored procedure they use all execute fast enough. The reports are hosted in a ReportViewer, inside a tabcontrol.
My problem is that most of these reports are going to be generated around 20 times in a row, each with different parameters, and it take a report 12 seconds or more to appear in the actual application, which is a big problem. What could be causing such a slowdown?
Here's a example of the simplest report I have, which still takes way too much time:
**Table Users**
Id uniqueidentifier PK
Name varchar(50)
Salary decimal
TimeInBank decimal
Enabled bit
The table has less than 100 rows, nothing special.
The query:
Select * from Users where Enabled=1
In the execution log, this report has the following statistics:
TimeRendering: 79
TimeProcessing: 54
TimeDataRetrieval: 22
Status: rsSuccess
ByteCount: 5305
RowCount: 7
Nothing seems wrong with these numbers but it still takes at least 12 seconds from the moment I press the button to the moment I can see the report.
If the data in your reports is not changing very often, you could consider caching the reports:
http://msdn.microsoft.com/en-us/library/ms155927.aspx
You still may want to figure out what the bottleneck is in the first place, but at least the viewers of the report won't have to wait in the meantime.
Related
I have a database of about 100 million customer relation records and 3 million distinct clients
I need to write a SQL script to work out which clients have registered 5 or more complaints within 30 days of each other, over the entire history of the client
I thought that a window function would be the answer but I haven't had any luck
Any ideas would be useful, but efficient ones would be even better, as I have low system priority and my codes takes hours to run.
this is my first question here.
I struggled days and days trying to find a solution everywhere with no success.
Basically I have a standard stored procedure pulling out a report dataset in a few seconds (5-6 seconds).
It aggregates (GROUPING BY and SUMMING) 23000 rows.
Indeed, my final dataset comes out with 4 rows and 33 columns executing, as said, in 5-6 seconds.
Unfortunately, while trying to load it via ReportBuilder, it loads endlessly (querying SQL Server, the StoredProcedure remains stuck in a RUNNING status forever).
Everything on ReportBuilder (DB Accesses, Dataset, Parameters, Matrix....) is right configured: I was indeed able to load it until I added a few additional (4) fields.
The SQL dataset is basically something like:
PARAMETERS DECLARATION
SELECT
FIELDS
FROM
(SELECT
FIELD A
SUMS
FROM
TABLE
JOIN TABLES
WHERE
PARAMETERS MATCHING
GROUP BY A
) AS B
ORDER BY FIELD
An "external layer" SELECT was needed to make some calculations on some FIELDS, also in some cases using some PARAMETERS.
That's it.
I use to work with huge datasets, sometimes pulling out 30,000 rows with 110 fields, but if something loads via SQL it also does always via ReportBuilder: this is the very first time it behaves in this different way.
So I'm asking if there are some strange SSRS/ReportBuilder limitations I never faced in my experience.
Any help would be really really appreciated!
Thanks in advance to everyone who'll spend time :)
I have two data-sets in my SSRS tool, first table contain 12,000 records and second one 26,000 records. And 40 columns in each table.
While building a report each time I go preview - it takes forever to display.
Is any way to do something to avoid that, so I can at least not spent so much time to build this report?
Thank you in advance.
Add a dummy parameter to limit your dataset. Or just change your select to select top 100 while building the report
#vercelli's answer is a good one. In addition you can change your cache options in the designer (for all resultsets including patramters) so that the queries are not rerun each time.
This is really useful plus - a couple of tips for you:
1. I don't recommend caching until you are happy with the your dataset results.
2. If you are using the cache and you want to do a quick refresh then the data is stored in a ".data" file in the same location as a your .rdl. You can delete this to query the database again if required.
We have a system that records data to an SQL Server DB captured from field equipment every minute. This data is used for a number of purposes, one of which is for charting in reports via SSRS.
The issue is that with such a high volume of data, when a report is run for period of for example 3 months, the volume of data returned obviously causes excessive report rendering times.
I've been thinking of finding a way of dynamically reducing the amount of data returned, based on the start and end time periods chosen. Something along the lines of a sliding scale where from the duration between the start and end period, I can apply different levels of filtering so that where larger periods are chosen, more filtering occurs while for smaller periods less or no filtering occurs.
There is still a need to be able to produce higher resolution (as in more data points returned) reports for troubleshooting purposes.
For example:
Scenario 1:
User is executing a report for a period of 3 months. Result set returned by the query is reduced for performance reasons without adversely affecting what information the user wants to see (the chart is still representative of the changes over time).
Scenario 2:
User executes the report for a period of 1 hour, in order to look for potential indicator(s) of problems with field devices while troubleshooting the system. For this short time period, no filtering is applied.
My first thought was to use a modulo operation on the primary key of the data (which is an identity field), whereby the divisor is chosen depending on the difference between the start and end dates.
For example, something like if the difference between the start and end dates for the report execution period is 5 weeks, choose a divisor of 5 and apply a mod to the PK, selecting where the result is equal to zero.
I would love to get feedback as to whether this sounds like a valid approach or whether there is a better way to do this.
Thanks.
I am very new to BO webintelligence.
I am doing a very simple query, retrieve Sales Amount for dates between 2012 and 2013. Just for this simple query when I run it, my BO crashes or gets stuck on "please wait" window. Why is this happening? If I select like 3 or 4 days like between Jan 1st 2012 and Jan 4th 2012, it runs fine. Is there anything from my end that I am doing wrong? This is in production mode.
I also wanted to point out that I have tried limiting my data set for specific region etc.
Too many unknowns to successfully assist. I presume this is webi 3.1.x or 4.1.x and I presume that the Sales Amount is a measure and that your query includes a date which does not include a time component. If you only have these two objects in your results pane and have the region in your conditions then pulling something like [Date] and sum([Sales Amt]) should not take long to execute. As previous poster suggests, try to execute the sql in a tool like SQL*Developer or Management Studio or however the source database / OLAP is stored.
Even though you've limited the data to a "region" this may be too much data. Try selecting a smaller result set of 100 rows or changing the option for "retrieve duplicate rows" on the query panel.
If possible, post the query from your report using generic object names?