Meta Web

In this chapter we go into details of how to build your own metamodel. Knowage allows to develop and manage metadata through the use of a web interface that is called Meta Web. We recall that dealing with metadata means to manage data that describe the structure of a relational model, namely to deal with the relationship between tables, table columns, keys and so on.

The Meta Web allows the user to access these information through the usage of a graphic interface and to easily combine, redefine and query them on an abstract model, guaranteeing the safety of the source model. In addition, we stress that the users can perform queries over data without the usage of a data query language.

Metamodel creation

Using the Meta Web application, it is possible to reverse the content of a database and manipulate this information creating a new model that can fit the user’s needs. In this section will we see what are the steps need in order to create a metamodel and query it with the QBE.

To create a Metamodel enter the Business Model Catalogue and add a new model clicking on the “Plus” icon. Referring to next figure, you will be prompted to enter the following fields:

  • Name (mandatory): Name of the model (cannot be changed after the save).
  • Description: A longer description of your model.
  • Category (mandatory): Select, from the ones available, a category that the model belongs to.
  • Data Source (mandatory): select the datasource that will be used to create your model (so the one that contains the tables that you need).
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Fig. 379 Setting the metamodel basic information.

After you have compiled these information, you can use the browse button to upload a model developed through an external (and specific) tool or you can click on “Save” on the top right corner of the screen and use the Meta Web engine to build it through Knowage interface. Now click on the switch Enable Meta Web that will show up a button Meta Web, click on that and you are ready to design the model.

Association with analytical drivers

The new feature in meta web are analytical drivers and their connection to meta model via filters. In this section we will show how to practically define this association.

To add a new parameter, you can click on the tab Drivers and then on a Add button, see the next figure.

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Fig. 380 Association with analytical driver panel.

Choose a name for the title of driver. Then choose analytical driver from drop-down menu that you wish to associate to the meta model.

Once you have selected the driver, you should write the exact URL of the corresponding parameter. Then set if the driver is multivalue or not. By default, drivers are set to be mandatory so you don’t have the option to change that like you have for analytical document.

After you have completed the definition of a parameter you can save it by clicking on main Save button in the upper right corner. To add further parameters, click on the Add button. Repeat the same procedure as many times you want. At this point you may wish to change the order of parameters (i.e., how they are presented to the user). To do so, click on the arrow in the list of drivers.

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Fig. 381 Association with analytical driver panel.

In the following we will see some special operations that can be performed on drivers associated to a meta model.

Correlation between parameters

In the context of a meta model, two different parameters may be connected to each other: this means that the possible values of a parameter are limited by the value(s) of another parameter.

This feature can be useful when two (or more) parameters are logically related. For example, suppose to have a parameter for all the possible countries and another one for all the possible cities. If the user selects a region, it is meaningless to show him all cities: he should only be enabled to choose among the cities in the selected region.

To set the correlation, select child parameter which will show you the details of that particular driver and then click on the Add condition button to open pop-up window for defining data correlation.

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Fig. 382 Adding data correlation.

In general, to configure a correlation within a meta model you should make sure that the LOV associated with the parent parameter and the one associated to the child parameter share at least one column. This column defines which value from the parent parameter will be applied to the child, in order to constrain the results.

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Fig. 383 Definition of the correlation.

Here you need to define:

  • the parent parameter;
  • the type of logical operator, in order to compare values of the parent parameter with values of the child parameter;
  • the column, generated by the child parameter, whose value will be compared with the value of the same column in the parent parameter.

If a parameter depends on multiple parent parameters, you can define multiple correlations.

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Fig. 384 Multiple correlations.

Once defined the correlation, the child parameters will display the labels during the runtime in italics.

Correlation through LOV and drivers

In previous sections we saw how to set correlation through the GUI available in meta model panel, but there is also the possibility to get the same result using the link between LOV and analytical drivers. More in depth, the user must have previously configured a driver that runs values that can be used in the “where” clause of a SQL query. Then the user must set a query-type LOV using the syntax

We stress that the AD_name is the name of the driver the administrator is trying to reach. Syntax for setting correlation through LOV configuration is:

Listing 48 Syntax for setting correlation through LOV configuration
1
 $P{AD_name}
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Fig. 385 Correlation passing driver values to LOV query .

As a result, when opening meta model, as soon as the user pick up a value from the “free” parameter, the other one is filtered and it will show only the value related to the previous selection, as shown in Figure below.

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Fig. 386 Filtering with correlation.

Create an empty model

The first time you enter the Meta Web, the interface (see Figure 10.2) will show you the available tables extracted from the selected data source.

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Fig. 387 Metaweb interface.

For each table you can decide if you want to include it in your metamodel. More in detail a metamodel is divided in two model:

  • Physical Model: it represents a “snapshot” of the database at the moment of the creation of you metamodel. The physical model contains a list of tables and information like columns and foreign keys retrieved from the database. The Physical Model cannot be modified but could be updated to reflect changes made on the database after the creation.
  • Business Model: it is based on the physical model but let the user recombine some of his information. For example is possible to create a Business Class that contains only some of the columns of a Physical Table and create new relationships between Business Classes that are not defined on the physical database.

If you choose to include a table only in the physical model is always possible to create a corresponding business class later during the editing. When you have finished to select the tables you can proceed to the editing clicking on the Continue button.

Editing the metamodel

The Meta Web Editor is divided in two main tabs Business Model and Physical Model corresponding to the related models. Clicking on one of this tab will change the view showing the elements of the specific model.

The “Physical Model” tab contains the tables that the user has checked earlier. On the left side of the interface you will see a tree like structure with the list of tables imported in the Physical Model (see figure below).

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Fig. 388 Physical Model Tab.

The “hambuger-like” icon lets the user to update the Physical Model at any time. Referring to the figure below, selecting the “Update Physical Model” option the user can refresh the model metadata.

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Fig. 389 Update the physical model.

As shown below, the interface shows if tables have been added or deleted to the datasource and lets the user to add tables to the Physical Model.

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Fig. 390 Update the physical model.

Each table of Physical Model brings the information read from data base. Selecting each table, the interface shows on the right the list of its properties (Property List tab) and its foreign keys (Foreign Keys tab). Clicking on the icon on the left of each Physical Table, it is possible to expand the corresponding node. Highlight each column name to see (on the right side of the screen) a list of properties, like data type or length.

The Business Model tab, shown below, allows the user to custom the model in terms of column name, type, visibility, format, etc.

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Fig. 391 Physical Model Tab.

In this view, you see all the Business Class created at the first initialization. As well, the Business Classes are represented in a tree structure on the left side of the page. Clicking on each business class name, generic information are reported in the five tabs available on the right side of the page (Figure below).

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Fig. 392 Exploring Business Class properties.

Change the order of the business classes

If you want to change order of the business classes, you can do it using drag and drop functionality.

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Using the Property List tab, the user can custom the business class name, type a description and see the corresponding physical table name. Here the user can also choose to hide the business class setting its visibility to false. Furthermore, when specifying the business class type, the user activates some peculiar functions that can be used in the QbE interface we described in Section 9.1. For instance, selecting the geographic dimension, the user will be able to apply the spatial functions to the dimension fields available in the QbE interface.

The Attributes tab lets the user to define which columns to be used as primary keys and which are effectively functional for the Business Class (not to be confused with the visibility condition). Note that, for instance, it is not possible to disable the “In Use” option when the field has already been set as foreign key.

The Calculated field tab is used to configure computed measures or attributes. Click on the dedicated button, as shown below, to create a new field. Use the list of functions to retrieve right function syntax and the list of fields on the left to correctly type the fields name.

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Fig. 393 Add calculated fields.

The Inbound and Outbound tabs are described in the following section.

Create a new relationship

In the Business Model is possible to define new relationships between Business Classes that are not inherited from the physical foreign keys. The Business Relationships are divided in two types:

  • Inbound: relationships that have the selected Business Class as a target (so they are entering);
  • Outbound: relationships that have the selected Business Class as a source (so the starts from).

The two relationships differ then for the direction of the bounds between tables that they establish.

To create a new relationship, just select the tab “Inbound” or “Outbound” after selecting one Business Class. Then click on the button “Add” and you will see a dialog.

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Fig. 394 Setting the outbound relationship.

In Figure above the outbound relationship is shown. Here you have to:

  • enter the business relationship name,
  • select the cardinality of the relationship (1 to N is suggested),
  • select the Source and Target Business Classes,
  • Then is possible to drag and drop a Business attribute from the source Business Class to another Business attribute in the target Business Class. This will create a link between the two attributes.

When all these steps are accomplished, click on “Create” to save.

We stress that the cardinality of the outbound relationship can be of two types:

  • 1 to N,
  • 1 to N*.

Use the second type of cardinality when the type of cardinality can be optional.

As well, the cardinality of the inbound relationship can be of two types:

  • N to 1,
  • N* to 1.

Use the second type of cardinality when the type of cardinality can be optional.

SQL Filter

There is a new feature that is added in meta web. It is SQL Filter which we can define in Filter tab in meta web as you can see in the figure below. SQL Filter is used for applying already defined drivers in query.

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SQL filter is expression that is added in the end of query as part of where clause. The right syntax for sql filter is: column_name = $P{url_name_of_the_driver}. For example: city = $P{cityUrl}. If you want to add more than one filter, you can connect them with an operator (AND, OR…) as you can see in an example in figure below.

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If you want to add filter for multivalue driver the right syntax is this: column_name IN ($P{url_name_of_the_driver}). For example: city IN ($P{cityUrl}).

Create a new business class

In the “Business Model” tab, the sandwich icon lets the user add other Business Classes (from the tables of the Physical Model) or a Business View (a combination of more tables with a predefined join path).

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Fig. 395 Create a new business class.

When clicking on the icon, as shown in Figure above), and selecting “New Business Class”, a new dialog asks to the users to:

  • select a Physical Table from the available ones;
  • insert a description for this new business class;
  • select one or more columns.

Then click on save to add the business class.

As well, when clicking on “New Business View”, as reported in Figure below the user is asked to select two or more tables from the available ones and insert a description for this new business view.

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Fig. 396 Create a new business view.

Then, moving to the next step, the user must join tables through specific columns, typically the tables’ foreign keys. Figure below shows an example.

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Fig. 397 Create a new business view.

For each business view, the interface reports the same property tabs we saw for each business class. In addition, the user finds the Join relationships tab and the Physical table tab, as highlighted in the following figure. The “Join relationships” tab shows the join clauses set to create the business view while the “Physical Table” tab recalls the physical table names.

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Fig. 398 Additional property tabs for business view.

Table property list

Scrolling the table “Property list” tab, the user finds the Type menu item. Expanding the related combobox the user can custom the table type among the ones available and listed below.

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Fig. 399 Table property list.

Column property list

As well, the user can employ each field property list (see next figure) to both inspect the object and custom it.

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Fig. 400 Column property list.

The Structural area covers an important role for the field properties. Here the user can set:

  • Visibility over the field,
  • Type, among measure, attribute, calendar, temporal_id, the_date and hour_id,
  • Aggregation type for measure field type,
  • Format string, to custom the format of the string for measure field type,
  • Profile attribute, to filter the field (and then the table records) by the user profile attributes (note that the combobox lists the available profile attributes),
  • Profile attribute filter type, to define the filter operator among “equals to”, “in”, “like”,
  • Data type, to indicate the field data type.

In the Behavioural Model area, the user can assign the field’s visibility permission to specific roles.

In the Physical area, recalls the physical table and field name from which the field have been take.

Add new column into business class

If you did not choose all columns from physical table, when you were creating new business class, you can do it easily. Click on business class in which you want to add new column. Open Attributes tab and click on above column name.

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Fig. 401 Remove existing column from business class

If you want to remove column from business table, you need to click on business class from which you want to remove column. Open Attributes tab and click on three dots of column you want to delete. It will open details panel. Click on delete button.

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Fig. 402 Change the order of the columns

If you want to change order of columns, you can do it using drad and drop functionality.

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Generate the datamart

After the editing of the metamodel, click on “Save” on the Meta Web toolbar on the upper right corner. Now you have a metamodel that can be compiled and used to generate a datamart. Now if you go back to the Business Model catalog you will see that near the “Meta Web” button there is a “Generate” button. Clicking on it, a dialog will open:

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Fig. 403 Generate datamart dialog.

If you just press “Create” the generation of the datamart begins otherwise clicking on the switch “Show Advanced options” (see figure below) the user can modify model name, change the schema or the catalogue of the database used to query the metamodel. This option is useful when the user wishes to build the model on a source schema and produce the datamart on a different one. Furthermore, the user can check the Generate for registry box. In this instance, the generated datamart will be used as a registry (but will not be exploited as a QbE). The Include source code produces a “file.jar” containing both the compiled code (.class) and the source files (.java), useful for the debagging process.

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Fig. 404 Generate datamart dialog: advanced options.

When the datamart is generated it will be possible to query the metamodel accessing it in the Workspace interface.

Additional functions for business model

In this section, we briefly describe the generic available options for business model development. Referring to figure below, the user first finds the Lock Model: if enabled, only the user who developed the model can modify it.

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Fig. 405 Business model lock.

Once the model has been saved, some more options are enabled. In fact, the user can make advantage of the Metadata section. Clicking the Import metadata button, the metadata information related to the business classes (their composition, properties, etc.) are stored into the (metadata) Knowage database. Those information can then be visualized via specific document (developed for the data lineage context).

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Fig. 406 Importing metadata.

Finally the Saved versions section the user keeps trace of model changes over time. Furthermore it is possible to restore old versions by checking the active column. Selecting the “three-dots” icon the user can download the jar file or the model itself or delete the version. Figure below shows an example.

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Fig. 407 Saved version functionalities.