hassuffix operator
Applies to: ✅ Microsoft Fabric ✅ Azure Data Explorer ✅ Azure Monitor ✅ Microsoft Sentinel
Filters a record set for data with a case-insensitive ending string. hassuffix returns true if there is a term inside the filtered string column ending with the specified string expression.
The following table compares the hassuffix operators using the abbreviations provided:
- RHS = right-hand side of the expression
- LHS = left-hand side of the expression
| Operator | Description | Case-Sensitive | Example (yields true) |
|---|---|---|---|
hassuffix |
RHS is a term suffix in LHS | No | "North America" hassuffix "ica" |
!hassuffix |
RHS isn't a term suffix in LHS | No | "North America" !hassuffix "americ" |
hassuffix_cs |
RHS is a term suffix in LHS | Yes | "North America" hassuffix_cs "ica" |
!hassuffix_cs |
RHS isn't a term suffix in LHS | Yes | "North America" !hassuffix_cs "icA" |
For more information about other operators and to determine which operator is most appropriate for your query, see datatype string operators.
Performance tips
Note
Performance depends on the type of search and the structure of the data. For best practices, see Query best practices.
When possible, use the case-sensitive hassuffix_cs.
Note
Text index cannot be fully utilized for this function, therefore the performance of this function is comparable to endswith function, though the semantics is different.
Syntax
T | where Column hassuffix (Expression)
Learn more about syntax conventions.
Parameters
| Name | Type | Required | Description |
|---|---|---|---|
| T | string |
The tabular input whose records are to be filtered. | |
| Column | string |
The column by which to filter. | |
| Expression | scalar | The scalar or literal expression for which to search. |
Returns
Rows in T for which the predicate is true.
Example
StormEvents
| summarize event_count=count() by State
| where State hassuffix "o"
| project State, event_count
Output
| State | event_count |
|---|---|
| COLORADO | 1654 |
| OHIO | 1233 |
| GULF OF MEXICO | 577 |
| NEW MEXICO | 527 |
| IDAHO | 247 |
| PUERTO RICO | 192 |
| LAKE ONTARIO | 8 |