Sql To Dax Join
.Why use DAX.SQL to DAX –As Querying Language.Why faster and key techniques.Query plan and performance tuning.SQL to DAX: Select, Grouping and Table Joins.SQL to DAX: Filter and Customized Measures. Title: FROM SQL to DAX Author: Xu, Dan Created Date. A table expression defining the table on the right side of the join. Return value. A table which includes only rows for which the values in the common columns specified are present in both tables. The table returned will have the common columns from the left table and other columns from both the tables. From SQL to DAX: Joining Tables. Written by Marco Russo on 29 April 2015. Posted in Tabular DAX. In SQL there are different types of JOIN, available for different goals. This article shows what are the equivalent syntaxes supported in DAX. The SQL language has the following types of JOIN.
Today I am going to spend some time trying to convince (and demonstrate to) Excel Power Pivot users that it is easy and valuable to learn some simple SQL code. SQL is one of the easiest languages I have ever taught myself and you can do it too. I love your final point and it reminds me of when I started tinkering with SQL in Power Pivot. I tried to use our corporate MRP system to build a nice calendar table that tied each day to a fiscal month, calendar month, calendar week, etc. I felt this was a fairly simple request for 3-4 years prior (really only like what, 1600 lines of data and 7 columns??).
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The run would take forever and I just gave up on it after a few tries. A week later an email had filtered down to me with the subject “Nasty Query”, and someone who had an off-conversation with me linked the query detail in the email with me mentioning that I was trying to do this. Apparently my query was bogging the system down significantly and the IT folks asked me what I wanted so they could just pull it for me. I hung that email up as a badge of honor:). Matt – Nice article. SQL and PowerPivot are a phenomenally powerful combination. I think you can do Case 4 using Access though (or accessing Access through PowerPivot.
Here is the code:SELECT DISTINCT( Customers.CustomerKey ),Customers.GeographyKey,Customers.FullName,Customers.BirthDate,Customers.MaritalStatus,Customers.Gender,Customers.YearlyIncome,Customers.Occupation,Customers.HouseOwnerFlag,Customers.NumberCarsOwned,Customers.AddressLine1,Customers.AddressLine2,Customers.PhoneFROM SalesINNER JOIN CustomersON Sales.CustomerKey = Customers.CustomerKeyWHERE Sales.ProductKey IN ( 312, 310, 314, 311, 361, 353, 363, 359, 357 );Note that I changed Name to FullName as “Name” is a reserved word in Access. Like I said, there are lots of way to do these things. I found the WITH pattern on the Internet, learnt it, and now use it all the time. When I realised it didn’t work with Access I didn’t bother to Try to find an alternative as personally I don’t use Access anymore.
I was forced to move to SQL developer edition for file size reasons. Once you make the move, you would never touch Access again without a very good reason. For anyone that is reasonable in Access and is considering making that move to SQL Server Dev or Express, I recommend you bite the bullet and do it. This is definitely the way to go, if you’re able to.One approach I have recently started using is pulling data from a reporting server through Power Query, and using lookup tables and such in the excel data model to format the output parameters I am looking for. Then, loading the PowerPivot to a server on my PC in an SSAS database, and then creating the reports in a new excel file using a connection to the SSAS server.The result is most of the heavy processing being done on the servers, while my Excel files are less than 50KB each and tied to the data (for regular updating). I’m a huge proponent of utilizing SQL with Excel and PowerPivot.
I work to analyze close to a million rows of data daily and I just did a compression test by sorting my data and it saved me over 46%The memory size of my model (708,429 Rows) was 295,642 KB and after I sorted it by the largest row it went to 159,004 KB. A savings of 136,638 KB or 46.22%!!The standard way I develop a query is to use SSMS (SQL Server Mgnt Studio) and test my queries there and pull down the data first and then use the “Write a Query that will specify the data to import” option. I also like to format the query to help make it a little more usable. I’ve used the SQL Formatter as Matt mention’s but one of the better Add-In’s I have is RedGate’s SQL Prompt.If you’re able to learn and teach yourself DAX and PowerPivot, Power Query, Power BI, etc you can definitely teach yourself SQL as well. Having this skill will only increase your ability bend and analyze any type of data any way you choose. I work with Excel 2010, and as I’m sure you are aware, the data model does not play well with Power Query. To get around that, I used a slightly different approach.
Instead of trying to “Load To” the data model by checking the field – “Add this to the data model” (this is greyed out in 2010) – in other words to push the data, I went into the data model to pull the data. Although I’m relatively new to PQ, I have been using connections for a while within Excel.
Within the data model, I went to Design/Existing Connections. Within the “Existing Connections”, I initially found two types of data source connections – “Local Connections” and “Workbook Connections”.
Sql To Dax Joint
The “Workbook Connections” I found were apparently connections made between PQ and the source data. I double clicked the connection and up popped an SQL Statement showing an SQL statement apparently established within PQ – displayed as SELECT. FROM Append2. I hit finish, and the info imported into the data model.Now here is the SQL trick I found very helpful since I’m using 2010. When I went back into the “Existing Connections” a second time, a new type of connection was listed, “PowerPivot Data Connections”.
When I double clicked this connection, the “Table Import Wizard” opened up allowing me to choose the “Write a query that will specify the data to import”. I backed out, grabbed the SQL statement from the original query against PQ (SELECT.
FROM Append2). That is – select all from the Power Query connection called Append 2. I went back into the Existing Connections, double clicked the PowerPivot Connection and pulled a look up table against the PowerPivot Data Connection by slightly changing the SQL. Select DISTINCTCode FROM Append2 Order By Code.
To add look up tables for reason codes and stores, I simply connected to the PowerPivot Data Connection again, removed Code from the SQL above and replaced with RsnCode and Store.That is DISTINCTRsnCode FROM Append2 Order By Codeand separately as DISTINCTStore FROM Append2 Order By Code.If and WHEN the connection fails due to a change within Power Query, you can delete and simply reestablish the connection. And since your original file and look up tables within the data model all pull off the same connection, you need to reestablish ONE not MANY connections. Sorry if I made any errors above, I’m rushing to leave on time for work.
Thanks for your post Matt!! It was very helpful. Hi Matt,no need to worry about Query folding in Power Query. It will almost always do. Provided you follow the rules that I’ve linked to in my blogpost (which primarily is about avoiding a bug when using long parameter tables):The most important rule is: Don’t write the SQL-statements by hand in the editor, but use M for the filtering instead. So you actually don’t have to use SQL-statements if you want to query you SQL-server, but M only (1 less language to learn:-))Other main advantages are that you’re reducing the risk to “write bad SQL” substantially (actually, currently I cannot think how bad SQL would be created with M, but how knows.)Being able to use parameter tables in Excel where the user could actually adjust the filters without editing any code is one of the coolest features this method offers in my eyes.
If doing so, you should also use this trick:It nicely improves codewriting and readability when working with multiple different parameters.
Sql To Dax Join
Hi Friends,This is my LookUp table D: CREATE VIEW dbo.DASSELECT 1 C1, 10 C2 UNION ALLSELECT 2 C1, 20 C2 UNION ALLSELECT 3 C1, 30 C2 UNION ALLSELECT 4 C1, 40 C2 UNION ALLSELECT 5 C1, 50 C2 UNION ALLSELECT 6 C1, 60 C2This is my base table F: CREATE VIEW dbo.FASSELECT 1 C1, 2 C2 UNION ALLSELECT 2 C1, 4 C2This is my SQL to get the desired result: SELECTSUM(F.C2. D.C2)FROM FINNER JOIN D ON F.C1 = D.C1I am trying to create a measure which will give me result 100when I just drag it in the values part of pivot table.
I am not sure how to get the INNER JOIN work in DAX, I have tried lot but my code doesn't work as expected.Any help is appreciated. Thank you!If this post answers your query, please click 'Mark As Answer' or 'Vote as Helpful'. Thanks for the replySimon. I already browsed these links before posting the question.I think, I will be able to come to a solution if I am able to implement below calculation correctly. I am trying to get the sum of D2 where D.C1 = F.C1 (which is 30).When I select this measure in excel, I am getting error: ERROR - CALCULATION ABORTED: Calculation error in measure 'D'SumOfC2InTableD: A table of multiple values was supplied where a single value was expected. SumOfC2InTableD:=CALCULATE(SUM('D'C2),FILTER('D','D'C1 = VALUES('F'C1)))If this post answers your query, please click 'Mark As Answer' or 'Vote as Helpful'.