- Relating Tables with Lookup Columns
- Enforcing Data Integrity
- Cascade on Delete
- Set NULL on Delete
- Joining Tables with Lookup Column
- Joining Tables with Auto-Join
- Joining Tables with Query Table
A nifty feature in ManageEngine Analytics Plus is the way it supports relational data modeling. You can create or import a database consisting of multiple tables which have relationships defined between them as in a relational database. In relational databases world, tables are related using Foreign Key relationships. In ManageEngine Analytics Plus, this is done using the Lookup Column feature where a column in one table points to a column in another table.
With a feature like Lookup Columns you can
- Organize your data in a normalized model avoiding duplication of information across tables
- Segregate as measures (numeric data columns which you could aggregate) and facts/dimensions (data columns which you use for grouping in reports).
- Define familiar models like Star Schema & Snow-flake Schema which are optimized for reporting and analysis.
Once you relate two tables using lookup columns, ManageEngine Analytics Plus will use this information to enable you create reports by combining columns from these tables, seamlessly without no additional effort.
Let us try to explain this by creating a sample Employee database. Say the Employee DB consists of two tables Department and Employee. The Department table has two columns - Department Name and Department ID.
We define the Department ID in the Department table as the column that is being looked up by the Department ID column of the Employee table. Click on the Edit Design button in the Employee table to define this relationship. Double-clicking on the cell in the Lookup Column field, lists the different tables & their columns in a drop-down box. In our example, we choose the Department table's Department ID.
- Set empty value for the column in the corresponding record:
- Stop conversion and rollback the changes: Choosing this option, if an error occurs during conversion the entire conversion will be aborted and the changes done will be rolled back. This way the table will retain the existing design & values without any lookup column being created and no changes done.
This section provides options on the action to be taken in the child table (table in which you define the lookup) when a record is deleted in the Parent table (the table which you are looking up). The options are discussed in detail under the next topic Enforce Data Integrity.
On clicking OK, ManageEngine Analytics Plus will create the Lookup column relationship between the tables.
When a new row is added in a table that looks up a column from another table, all the values get listed automatically. Let's say a new Employee is to be added. The Department IDs get listed in the Department column and you can choose the appropriate department the new Employee belongs to.
This feature will be available when you select No action on this (child) table option in the Design Modification settings dialog that opens while relating tables with lookup column. Selecting this option will retain the data in the child table even when the corresponding data is deleted in the parent table. This option is highly recommended as it provides high performance in data uploads (add/modify/delete records) into this table.
This feature will be available when you select Delete the Corresponding rows in the (child) table option in the Design Modification settings dialog box that appears while relating tables with lookup column. Selecting this option will make ManageEngine Analytics Plus to delete all the corresponding rows in the child table when a row gets deleted in the parent table (Parent and Child tables are related in ManageEngine Analytics Plus using the Lookup column feature discussed above). This option basically ensures that there will not be any row in the child table which does not have a corresponding related row in the parent table. This is called enforcing data integrity in relational modeling.
Continuing the above example, if any department gets deleted in the Department table (parent table), then all the employees will get deleted automatically from the Employee table (child table). Suppose, let's say the Accounts department (row) is deleted.
This feature will be available when you select Set empty (Null) to the Corresponding values in the (child) table option in the Design Modification settings dialog box, when defining a lookup column. If this option is chosen and a row in the parent table is deleted, then for the corresponding rows in the child table the lookup column value will be set to NULL (i.e. empty). What this means is, you are allowing the existence of rows in the child table even though there are no related row(s) in the parent table.
Lookup columns can be used to join tables where you need to retrieve data from two or more tables in a reporting database. In ManageEngine Analytics Plus, tables with lookup relationship can be joined in the following two ways:
- Joining Tables with Auto-Join
- Joining Tables with Query Table
While creating reports, ManageEngine Analytics Plus provides you with a special feature called Auto-Join which automatically joins tables connected using lookup column. After selecting a table you want to create the report on, Auto-Join feature attempts to determine if it the selected table has any lookup relationship defined with other tables in the database. If it has, Auto-Join will list all the columns of the related tables in Column List panel in Report Designer.
Once listed, you can drag and drop the required columns from the list in to respective shelves to create the reports. ManageEngine Analytics Plus will join the corresponding tables and fetch the required data to generate the report. (You can also join tables using Query Tables. Refer to the topic Joining Tables with Query Table).
Following example shows Department wise Employee count Pivot Table created over the Employee and Department tables using Auto-Join feature.
In the above example, Auto-Join feature detects the lookup relationship created between Department and Employee tables (Refer to the example model discussed under the topic Relating Tables with Lookup Columns using the common Department ID (Lookup) column present in both the tables). Based on this relationship it lists the columns from both the table under Column List panel in the Report Designer as shown in the above screen-shot.
In this Pivot table, we have used the Department Name column from the Department table (dropped in the Rows shelf) and Employee ID from Employee table (dropped in the Data shelf with "Count" function applied). On generating the Pivot Table, the Auto-join feature will automatically join the data from both the Department and Employee table using the Lookup column Department ID and provide the report.
Note on configuring the Join type:
By default ManageEngine Analytics Plus will join tables using Left Join type. 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.
- 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.
You can choose to change the join type. You will find a view relationship icon in the report designer while creating reports by joining tables. Click this, the View Relationship Used dialog will open. Select the type of join and click Apply.
In ManageEngine Analytics Plus you can combine the data in one or more tables using common columns, by creating a Query Table which contains a SQL Select Join query. For example, a query combining the Employee and Department tables can be made as shown below.
The example query above joins the Employee & Department tables, getting the department name mapped to each employee. Over the query table that you have created by joining the necessary tables, ManageEngine Analytics Plus allows you to create any type of reports for analysis and visualization.