In a reporting system often you might require to combine data from two or more tables to get the required information for analysis and reporting. To retrieve data from two or more tables, you have to combine the tables through the operation known as "Joining of tables". Joining is a method of establishing a relationship between tables using a common column.
In SkyDesk Reports you can join tables to create reports using one of the following two methods.
When you want to create reports using data spanning across multiple tables, SkyDesk Reports provides you with a special feature called Auto-Join . This feature automatically joins tables when creating reports, if the tables are connected using a Lookup column. For this feature to work, you need to specify that two tables are related using the Lookup column. To define a lookup relationship between two tables, it is essential that the tables have at least one column which is common between them. Lets look at this further with an example.
Here's an example to illustrate how to define lookup columns and how Auto-Join combines tables while creating reports, based on lookup relationship
"Store Sales Database" Model:
In the Store Sales Database model given above, the Sales and Sales Person tables have a common column called Sales Person Id . In the 'Sales' table every sale is associated to the Sales Person Id , who did the sale. In the 'Sales Person' table each sales person is identified by a unique id specified in the column Sales Person Id . Similarly Sales and Product Details tables have a common column called Product_ID . In the 'Sales' table each sale is associated with a product identified by the column Product_ID . In the Product table each product is identified by a unique id specified in the column Product_ID .
Given these related columns we can define lookup relationship between Sales and Sales Person table through the column Sales Person Id. Similarly between Sales and Product Details tables a lookup relationship can be established based on the common column Product_ID . Once the lookup column relationship is defined SkyDesk Reports will automatically join data from these tables using the Auto-join feature, when you start creating reports based on these tables.
Here's how the lookup relationship is defined.
It is assumed that the above Store Sales Database has already been created with the corresponding tables in SkyDesk Reports. Let's start defining lookup between Sales and Sales Person tables through the common column Sales Person ID.
Now a dialog box will come up as shown below with the options to handle errors during conversion and options to select actions to be performed by SkyDesk Reports on the corresponding rows of the child table when a row in the parent table is deleted.
If error occurs on conversion:
On Deleting the values in the Lookup(parent) column :
Now, a relationship between Sales and Sales Person tables is established through the lookup column Sales Person ID . Here we call the Sales table as the child table to Sales Persons table, since the Sales table is looking up a column from Sales Person table which is termed as the parent.
Similarly we can define the lookup relationship between Sales and Product Details tables using the Product Id column. Here the lookup column is defined for the Sales table (child table), with Product Details table which is the parent.
Once tables are related with each other using lookup columns, you can create the reports by selecting any of table with lookup relationship. SkyDesk Reports will automatically join the data from these tables and generate the report, when you drag and drop columns from across tables.
Here's how the Sales by each Sales Person chart is created using Auto-Join feature :
The Auto-join feature will automatically join the data from both the Sales and Sales Person table using the Lookup column Product ID and provide the report.
Also, columns from the related tables can be used to filter the report. Continuing the above example, Product Name column from Product Details table can be used to filter the chart data and display Sales made by the Sales Person for the selected Products as shown below.
|Note on configuring the Join type:|
By default SkyDesk Reports will join tables using Left Join. Possible join types are:
Left Join - Report will be computed with all the rows from the child table (left) and only the matching rows from the parent table (right). Matching is done based on lookup columns defined between child & parent tables. This will be the default join type. In this case the Sales table is the child and Sales Person table is the parent.
Right Join - Report will be computed with all the rows from the parent table (right) and only the matching rows from the child table (left). Matching is done based on lookup columns defined between parent & child tables. Here the child will be Sales Person table and parent will be Sales table.
You can choose to change the join type. To do so,
If the generated reports by using Auto-Join feature does not meet your specific needs, you could always create a query table to join the tables and use the same to create reports over it . A query table can be created using a SQL Select Join query to join separate tables using a common column and retrieve data you want from both the tables.
For example, a query to combine the Sales and Sales Person tables and to retrieve Sales made by each Sales Person data can be created as shown below.
The example query above joins the Sales & Sales Person tables. Once you create query table joining the necessary tables, then SkyDesk Reports allows you to create any type of reports for analysis and visualization over the same.