XS Advanced, Use SQLScript in Calculation Views
- How to implement more complex logics using SQLScript in Table Functions
- How to incorporate Table Functions in Graphical Calculation views
- Create a replacement to the former Scripted Views in previous versions of SAP HANA
- Apply the
DENSE_RANKfunction, to establish the ranking of a row relative to a partition of a dataset
- This tutorial is designed for SAP HANA on premise and SAP HANA, express edition. It is not designed for SAP HANA Cloud.
- Getting started with SAP HANA, XS Advanced Development
- Import sample data from the SHINE model
This tutorial assumes general knowledge of the modeling tool has been acquired through completion of the beginner and intermediate tutorials about calculation views.
- Step 1
db/srcfolder, create a new folder called
Create a function called
A template is created for you with different sections
Remove the placeholder for the namespace. Paste the following code into the input section:sqlCopy
IP_FR_DATE DATE, IP_TO_DATE DATE, IP_REGION NVARCHAR(4)
Add the following as a returning table:SQLCopy
table ( COMPANY_NAME NVARCHAR(80), REGION NVARCHAR(4), SALES DECIMAL(18,2), ORDERS INTEGER, SALES_RANK INTEGER, ORDER_RANK INTEGER )
Add the following code between
return SELECT company_name, region, sales, orders, sales_rank, order_rank from( select T2."COMPANYNAME" as COMPANY_NAME, T3."REGION" as REGION, sum(T1."NETAMOUNT") as SALES, count(T0."SALESORDERID") as ORDERS, dense_rank() over ( order by sum(T1."NETAMOUNT") desc ) as sales_rank, dense_rank() over ( order by count(T0."SALESORDERID") desc ) as order_rank from "SO.Header" T0 inner join "SO.Item" T1 on T0."SALESORDERID" = T1."HEADER.SALESORDERID" inner join "MD.BusinessPartner" T2 on T0."PARTNER.PARTNERID" = T2."PARTNERID" inner join "MD.Addresses" T3 on T2."ADDRESSES.ADDRESSID" = T3."ADDRESSID" where TO_DATE(T1."DELIVERYDATE") between :IP_FR_DATE and :IP_TO_DATE and T3."REGION" = :IP_REGION group by T2."COMPANYNAME", T3."REGION" order by sales_rank, T2."COMPANYNAME" ) where sales_rank < 11;
Save and build the function. This is what it should look like
For more information about
DENSE_RANK()and other function modules, visit the SAP HANA and System Views Reference
- Step 2
You can test the function using the SQL console. Go into the database explorer and locate the function within your HDI container. Right-click on it and choose Generate Select Statement.
Use dates from
EMEAas parameters to complete the validation below. How many orders were sold by the company ranking number 1 in sales?
- Step 3
src/modelsfolder, create a Calculation View of type dimension
Add your table function to the projection node
In the projection node, add all the columns to the output
- Step 4
Go to the parameters tab and click on manage parameter mapping
Auto Mapbutton to automatically map the parameters to the columns in your calculation view
Save and Build your view.
#What are the different types of views for?
- Empty type: The view of type
defaultor empty, is not exposed to BI tools and is free-form.
- Cube: measures, aggregations. Exposed to BI Tools (generates BI Metadata)
- Cube with star Join: Join fact data with dimension type calculation view. For example, join transactional data containing prices and discounts (facts) with data that helps to organize those facts, such as master data (customers, product categories) or time dimensions (quarters, years).
- Dimension: No measures, no aggregations and no exposure to BI tools.
- Step 5
Right-click on the calculation view and choose data preview. Fill the parameters as follows and click Run
The results are displayed and the rank functionality becomes obvious. Copy and paste the SQL statement in the validation below to complete it: