I have a basic model with a fact table, and 2 dimensions (one of them is Date dimension).
Now, a new column with a date has been added to the fact table… Therefore I have created a second ‘Dim Date’ and connected to it:
I have the next doubts:
Can I have any problem in my .pbix or cube if I use 2 dim dates?
Shall I mark this new ‘dim date’ also as ‘Mark as date table’? can I have 2 tables marked as date table?
This new 'Dim Date' shall be used only as a filter in the pbix, I dont plan on using any time intelligence on it...
It depends:
The analysis services tabular engine that power bi runs on supports multiple connections between tables. I would generally recommend using this with the USERELATIONSHIP() function and then your measures will give context to the report.
However, I have found there are situations where using USERELATIONSHIP() in many measures can introduce unnecessary complexity in your model. You can end up with far too many measures and it can get confusing when you use two measures that are using two different relationships in the same visual.
In short: There is not anything inherently wrong with duplicating a dimension but for data storage optimization and model cleanliness I would be sure USERELATIONSHIP() with multiple relationships between fact and dimension will NOT work before duplicating the dimension.
Using jqGrid free (version 4.15.6) to show very basic information about invoices (ie: date created, date due, client, total, status). The invoices grid only has a few pertinent columns that are displayed because it is just not needed to show more than that. In reality there are a lot of other invoice-related fields that are not shown. I would like to offer end-users the ability to filter the grid based on a lot of these other parameters that are simply not part of the grid contents.
I know jqGrid offers built-in searching, and you can easily just add hidden columns with all the data, but I feel this is not good for us--invoices contain a lot of data--data that is not necessarily present in just the invoices database table. We want the grid to provide many other filtering options outside of the base invoice data but we do NOT want to use the built-in filter options. Instead, I would like to use a separate HTML table with a bunch of search fields that our server-side code would know how to pull back). When one decides to invoke the external filter, we want the grid to load all invoices matching that combined filter. And if one chooses to navigate using the grid's paging buttons, we want the grid to continue using the original external filtering parameters.
Hope this makes sense. Maybe I am just overthinking this but I am fairly certain the grid is designed to use it's built in filtering/searching tools/dialog and I have not found anyway to override this behavior. Actually I have using an older jqGrid but that involved using jQuery to completely REPLACE the default pager with custom HTML and event handling. I never could figure this out with older jqGrid so I chose to write it myself. But that code is less than optimum and even I know it is subject to much criticism. Having upgraded to 4.15.6, I want to do this the best way and I want to keep it logical and practical.
I have tried using beforeRequest() and onPaging() events to change the 'url' parameter, thinking that if I modified the url, I could change the GET to include all of our custom filtering fields. It seems that does not work as the url NEVER changes from the originally defined value. Console logging does show the events firing but no change to url. On top of that, the grid ALWAYS passes its own page field, _search field, etc. to the server so the server NEVER sees the filter request.
How does one define their own custom filtering coupled with paging loader and still take advantage of the built-in paging events? What am I missing?
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It's difficult to answer on your question because you didn't posted code fragments, which shows how you use jqGrid and because the total number of data, which could be needed to display in all pages isn't known.
In general there are two main alternatives implementing of custom filtering:
server side filtering
client side filtering
One can additionally use a mix from both filtering. For example, one can load from the server all invoices based on some fixed filters (all invoices of specific user or all invoices of one organization, all invoices of the last month) and then use loadonce: true, forceClientSorting: true options to sort and to filter the returned data on the client side. The user could additionally to filter the subset of data locally using filter toolbar of searching dialog.
The performance of client side is essentially improved last years and loading relatively large JSON data from the server could be done very quickly. Because of that Client-Side-Filtering is strictly recommended. For better understanding the performance of local sorting, filtering and paging I'd recommend you to try the functionality on the demo. You will see that the timing of local filtering of the grid with 5000 rows and 13 columns is better as you can expect mostly from the round trip to the server and processing of server side filtering on some very good organized database. It's the reason why I recommend to consider to use client side sorting (or loadonce: true, forceClientSorting: true options) as far it's possible.
If you need to filter data on the server then you need just send additional parameters to the server on every request. One can do that by including additional parameters in postData. See the old answer for additional details. Alternatively one can use serializeGridData to extend/modify the data, which will be set to the server.
After the data are loaded from the server, it could be sorted and filtered locally before the first page of data will be displayed in the grid. To force local filtering one need just add forceClientSorting: true additionally to well known loadonce: true parameter. It force applying local logic on the data returned from the server. Thus one can use postData.filters, search: true to force additional local filtering and sortname and sortorder parameter to force local sorting.
One more important remark about using hidden columns. Every hidden column will force creating DOM elements, which represent unneeded <td> elements. The more DOM elements you place on the page the more slow will be the page. If local data will be used (or if loadonce: true be used) then jqGrid hold data associated with every row twice: once as JavaScript object and once as cells in the grid (<td> elements). Free jqGrid allows to use "additional properties" instead of hidden columns. In the case no data will be placed in DOM of the grid, but the data will be hold in JavaScript objects and one able to sort or filter by additional properties in the same way like with other columns. In the simplest way one can remove all hidden columns and to add additionalProperties parameter, which should be array of strings with the name of additional properties. Instead of strings elements of additionalProperties could be objects of the same structures like colModel. For example, additionalProperties: [{ name: "taskId", sorttype: "integer"}, "isFinal"]. See the demo as an example. The input data of the grid can be seen here. Another demo shows that searching dialog contains additional properties additionally to jqGrid column. The commented part columns of searching shows more advanced way to specify the list and the order of columns and additional properties displayed in searching dialog.
Forgive my answering like this but this question started out on one subject related to filtering and paging but with using an external filtering source. Oleg actually has several demos over many threads that I was able to use to accomplish the custom filtering and maintain default built-in paging. So his answer will be the accepted answer for the original question topic.
But in the solution of original, I encountered another issue with loading the grid initially. I wanted to have the grid load with default filtering values should no other filter already be in place. That really should have been a different question because it really did not affect the first.
I found yet another Oleg reply on a completely different question:
jqGrid - how to set grid to NOT load any data initially?.
Oleg answered that question and that answer solved our second need to load one way, then allow another way.
So, on initial load, we look for the filter params server-side. None given? We pull records using default filtering. Params present? We use initial provided params. The difference with initial loading we do not AJAX exit. We instead json_encode the data and place it in the grid definition as follows:
$('#grd_invoices').jqGrid(
...
url: '{$modulelink}&sm=130',
data: {$json_encoded_griddata},
datatype: 'local',
...
});
Since the datatype is set to 'local', the grid does NOT go to server initially, so the data parameter is used by the grid. Once we are ready to filter, we use Oleg's solution from yet another answer on yet another question to dynamically apply the filter as follows:
var myfilter = { groupOp: 'AND', rules: []};
myfilter.rules.push({field:'fuserid',op:'eq',data:$('#fuserid').val()});
myfilter.rules.push({field:'finvoicenum',op:'eq',data:$('#finvoicenum').val()});
myfilter.rules.push({field:'fdatefield',op:'eq',data:$('#fdatefield').val()});
myfilter.rules.push({field:'fsdate',op:'eq',data:$('#fsdate').val()});
myfilter.rules.push({field:'fedate',op:'eq',data:$('#fedate').val()});
myfilter.rules.push({field:'fwithin',op:'eq',data:$('#fwithin').val()});
myfilter.rules.push({field:'fnotes',op:'eq',data:$('#fnotes').val()});
myfilter.rules.push({field:'fdescription',op:'eq',data:$('#fdescription').val()});
myfilter.rules.push({field:'fpaymentmethod',op:'eq',data:$('#fpaymentmethod').val()});
myfilter.rules.push({field:'fstatus',op:'eq',data:$('#fstatus').val()});
myfilter.rules.push({field:'ftotalfrom',op:'eq',data:$('#ftotalfrom').val()});
myfilter.rules.push({field:'ftotal',op:'eq',data:$('#ftotal').val()});
myfilter.rules.push({field:'fmake',op:'eq',data:$('#fmake').val()});
myfilter.rules.push({field:'fmodel',op:'eq',data:$('#fmodel').val()});
myfilter.rules.push({field:'fserial',op:'eq',data:$('#fserial').val()});
myfilter.rules.push({field:'fitemid',op:'eq',data:$('#fitemid').val()});
myfilter.rules.push({field:'ftaxid',op:'eq',data:$('#ftaxid').val()});
myfilter.rules.push({field:'fsalesrepid',op:'eq',data:$('#fsalesrepid').val()});
var grid = $('#grd_invoices');
grid[0].p.search = myfilter.rules.length>0;
$.extend(grid[0].p.postData,{filters:JSON.stringify(myfilter)});
$('#grd_invoices').jqGrid('setGridParam',{datatype:'json'}).trigger('reloadGrid',[{page:1}]);
This allows us to have the grid show initial data loaded locally, and then subsequent filtering changes the grid datatype to 'json', which forces the grid to go to server with new filter params where it loads the more specific filtering.
Credit goes to Oleg because I used many of his posts from many questions to reach the end result. Thank you #Oleg!
I currently try to solve the following issue in Tableau:
In the end, I would like to have a Tableau dashboard where the user can select a Customer, and then can see the Customer's KPIs. Nothing spectacular so far.
To obtain a Customer's KPIs, there is a CustomSQL query with a parameter "CustomerName" (that returns the KPIs for that Customer).
Now the thing:
I don't want to have a hardcoded list of CustomerNames, as it would be possible with Tableau Parameters. Instead, the CustomerNames should be fetched from another datasource. I did not find a way to "link" a Parameter to a DataSource, and/or inject something other than static Parameters into CustomSQL.
My Question: Is there really no solution for this, or am I just doing something wrong (I hope so).
I found this workaround here https://www.interworks.com/de/blog/daustin/2015/12/17/dynamic-parameters-tableau that seems to work, but that looks like... a workaround.
Few background info:
I have to stick to using a CustomSQL because
It is not viable for me to calculate all KPIs for all CustomerNames
and then filter by Tableau, since the data amount is too big.
It is not viable to replace the CustomSQL with Tableau Calculations
and Filters (already tried that, ended up in having Tableau pulling
too much data instead of pushing the work to the database).
I cannot believe that Tableau does not offer a solution here, since the use case is pretty common I believe.
Do you have some input for me?
Thank you for your help in advance!
Kind Regards
have you tried using rawsql() functions together with stored functions on the database side? I found it pretty useful when needed to load single value from the dataset completely not related to currently used datasource.
For example, running foo stored function which accepts 2 dates and calculated sum of something, Syntax should be something like:
rawsql_int(your_db_schema.foo(%1,%2),[startDateFieldTableau],[endDateFieldTableau])
but you can access it directly:
rawsql_int("select sum(bar) from sales")
but this is bit risky.
Drawbacks:
it relies on the current connection (you create a calculated field (duh!)
it will not work with extract (but you are using custom sql anyways so I believe you are more into live connection
How can I make my Crystal Report look like the attached image? I have had no success creating it with a crosstab.
The short answer is that Crystal Reports isn't really equipped to handle the format you're dealing with. And here's why:
Let's assume for a moment you've already figured out how to interpret your query into something usable. Since we aren't using a Cross Table, the best you could hope for would be setting a Details section for each individual time slot and arranging a large number of formulas into a grid shape:
The problem is that every Formula would need to be unique; interpreting whether there is a Class at that Time and Date, and which Class it is. There would be up to 168 of those formulas and you'd have to manually go in and modify each one to check for their own unique combination of Date and Time. Which defeats the whole purpose of using a computer - to make repeated tasks easier.
Plus you'll have difficulty with the formatting: You'd need to program every "cell" to use a unique set of colors based on the displayed Class. That part is technically doable, but there's no way to "merge the cells" when classes last longer than a half hour. You'd end up with something like this:
So don't torture yourself trying to make this happen in Crystal. Even with all the time and effort it would take to formulate the grid, there's no good way to make it look like your screenshot.
That said, it looks as though you managed to put a schedule together in Excel. Is there any reason you can't use Excel instead? It's a much more powerful tool, and a cursory Google search suggests it can handle queries as well.
I have a SQL SERVER 2008R2 Standard Edition. The Cube has one measure called "AUM". Basically this measure is only additive across One Dimension Portfolio.
Across Time I need to pick LastChild, Across Security I need to pick Max and Across Portfolio I need to pick SUM.
How should I create the measure ? what should be the Aggregation property to achieve all 3 types of calculations.
currently we have written SCOPE statement for Security and Time to overwrite Default SUM behavior. this works great but as the members in security and Time Dimension increases the SSRS reporting query gets slow down a lot.
I am currently testing creating new persisted measures with changing the property of aggregations and combinations of some additional create member statements to see if I can avoid scope statements.
Any kind of help be great. Thanks
It's a nice problem. some thoughts
There is a problem on the order you evalute your tuple if the aggregation is not associative. I'd take care with scope (when you're evaluating a tuple that does not fall inside). Check this presentation from Chris Webb (nice SSAS guru)
The order of you aggregation is important, LastChild(Max(Sum( tuple) ) ) is not Max( LasChild (Sum (tuple) ) ). I'd go for a calculated member if performance is a problem :
First calculating the LastChild with data in your time dimension. Here you can use any aggregation method with a nonempty. Once you got using another measure to get properly the max.
P.S. : I think in SSAS you can define special aggregation methods (somewhere there is an use case for that).
hope it helps