DataGrip 2020.1 Help

Search templates, filters, and script constraints

When you construct a pattern for a structural search you are basically writing a script. To simplify your scripting process, DataGrip offers you a list of predefined search templates that you can use as prototypes for your search pattern.

Existing search templates for HTML

On how to access the list of the existing search and replace templates, see the structural search and replace section.

Each search or replace template consists of variables $variable_name$ to which you can add a condition (filter) to narrow your search results. Filters depend on a variable in your search template.

Count filter

The Count filter specifies a number of occurrences.

If you do not set the Count filter explicitly, the IDE looks for only one template match. In other words, when the Count filter is not applied, the default values for the filter are min = 1 and max = 1.

DataGrip adds [0,∞] to the variable and searches for the specified range of numbers.

Reference filter

The Reference filter lets you reference some other search template in the variable.

The reference will always contain the name of a preconfigured or saved pattern, and you can use auto-completion to fill out this field.

Type filter

The Type filter adds a type of the value or expression that is expected for the specified variable.

To find the type category, use the name of the category in square brackets (for example, [string] or [integer]).

To find a specific type, use the name of the type as a filter value (for example, text, varchar(50), int). Also, you can use regular expression in filter values (for example, varchar\(.*\)). To enable regular expression, select the Regex checkbox in filter settings.

  • UNKNOWN is used for expressions the type of which cannot be identified.

  • INTEGER is a numeric data type for a range from -2147483648 to 2147483647 (for example, column_1 int).

  • REAL is a numeric data type for floating precision number data from -3.40E + 38 to 3.40E + 38 (for example, column_1 real).

  • STRING is a string data type that includes all corresponding types like CHAR, VARCHAR, TEXT and others (for example, column_1 real)

  • BOOLEAN is a boolean type that can be true or false.

  • DATE_TIME is a combination of a date and time. Format: YYYY-MM-DD hh:mm:ss.

  • DATE is a type for dates. Format: YYYY-MM-DD.

  • TIME is a type for time. Format: hh:mm:ss.

  • TIMESTAMP is a date and time type that is stored as the number of seconds since the Unix epoch ('1970-01-01 00:00:00' UTC). Format: YYYY-MM-DD hh:mm:ss.

  • INTERVAL is a type that stores the quantity of time between two datetime values (for example, now() - INTERVAL '1 year 3 hours 20 minutes').

  • BYTES is a data type that allows whole numbers from 0 to 255.

  • ARRAY is a composite data type that consists of zero or more elements of a specified data type (for example, column_1 ARRAY[int]).

  • COLLECTION is an ordered group of elements, all of the same type.

  • TABLE is a data type that stores a result set for later processing.

  • RECORD is a data type that allows to create a new data type with the desired column structure.

  • SETOF is a return type to return a result set.

Type filter

Text filter

The Text filter checks the variable against regular expressions or plain text.

For example, the var\d value for the text filter in the expression context will find all the variables that start with var and have one digit afterwards.

Text filter

Script constraints

The Script filter adds Groovy script constraints to the search pattern. Script constraints are used when you search for certain language constructs.

All variables used in a pattern can be accessed from script constraints. When you add a script constraint to your variable, DataGrip matches it against the PSI tree, this variable is in fact a node in the PSI tree.

The Script filter
Last modified: 2 July 2020