## Dataset Filter dialog

This dialog appears when you click the Dataset Filter button on the toolbar of the Resource View panel. It helps you to set filter conditions for a dataset. See the dialog.

The following are details about options in this dialog:

Add Condition

Adds a new condition line.

Delete

Deletes the selected condition line.

Group

Makes the selected conditions in one group. Conditions can also be added to an existing group by selecting the conditions and the group while holding the Ctrl button, and then clicking the Group button.

Ungroup

Makes the selected condition ungrouped.

Up

Moves the selected condition up to a higher level.

Down

Moves the selected condition or group down to a lower level.

Logic

Lists the logic operator.

- And
  Logic operator And which is applied to this and the next line.
- Or
  Logic operator Or which is applied to this and the next line.
- And Not
  Logic operator And Not which is applied to this and the next line.
- Or Not
  Logic operator Or Not which is applied to this and the next line.

Field

Specifies the field to be filtered.

Operator

Specifies the operator to compose the filter expression.

- =
  Equal to
- >
  Greater than
- >=
  Greater than or equal to
- <
  Less than
- <=
  Less than or equal to
- !=
  Not equal to
- [not] in
  Causes an enumerated list of values which will appear in the WHERE clause predicate to be evaluated for a true condition. The [not] in operator supports multi-value parameters as the value.
- [not] like
  Like string pattern matching operator is used to compare the first expression string value to the pattern string (the second expression). If you want to use wildcard character in the pattern string, only "_" and "%" are supported.
- [not] between
  Allows the system to evaluate whether or not data values are located between a range of values indicated in the predicate. For operator ‘between' or ‘not between', there are two value input boxes for inputting the same type of values.
- is [not] null
  It is used in WHERE clause predicates to match null values occurring in a specified data field. For operator ‘is null' or ‘is not null', the value input box is hidden.

Value

Specifies the value of how to filter the field. You can either type in the value manually or click next to the text box to specify the value.

When you type in the value, if multiple values are required, they should be separated with ",", and if "," or "\" is contained in the values, write it as "\," or "\\".

When you click to specify the value, the Expressions dialog is displayed. The following are options in the dialog:

- Real Name tab
  Lists the tables added in the query on which the dataset is created with all their columns, also the formulas and parameters in the catalog. Double-click the required field to add it as the value.

  The following symbols at the bottom of the Expressions dialog allow you to modify the expression according to your requirements.

  - +
    Adds numbers or fields together.
  - -
    Subtracts numbers or fields together.
  - *
    Multiplies numbers or fields together.
  - /
    Divides numbers or fields together.
  - =
    Equates fields together.
  - "
    Places quotations on long character strings or name that have blanks in them. For example, you should place quotes on values such as "New York" or "Washington DC".
  - ||
    Places fields together in the same expression. For example, "New York" || "Washington DC".
  - ( )
    Places the fields in parentheses.
- Field Value tab
  Lists all column names of the related table, in which the field to be filtered is. Check the column name of the field to be filtered, click OK, then the values of the field will be displayed. Choose the required value and click Set to use it to filter the field.

SQL Statement

Displays the SQL statement of the filter condition.

OK

Applies the changes and closes the dialog.

Cancel

Cancels the changes and exits the dialog.

Help

Displays the help document about this feature.

###### Related topics:

- Datasets