The case-sensitive in string operator
Filters a record set for data with a case-sensitive string.
Performance tips
Syntax
T |
where
col in
(
expression,
… )
Parameters
Name | Type | Required | Description |
---|---|---|---|
T | string | ✔️ | The tabular input to filter. |
col | string | ✔️ | The column by which to filter. |
expression | scalar or tabular | ✔️ | An expression that specifies the values for which to search. Each expression can be a scalar value or a tabular expression that produces a set of values. If a tabular expression has multiple columns, the first column is used. The search considers up to 1,000,000 distinct values. |
Returns
Rows in T for which the predicate is true
.
Examples
List of scalars
The following query shows how to use in
with a list of scalar values.
StormEvents
| where State in ("FLORIDA", "GEORGIA", "NEW YORK")
| count
Output
Count |
---|
4775 |
Dynamic array
The following query shows how to use in
with a dynamic array.
let states = dynamic(['FLORIDA', 'ATLANTIC SOUTH', 'GEORGIA']);
StormEvents
| where State in (states)
| count
Output
Count |
---|
3218 |
Tabular expression
The following query shows how to use in
with a tabular expression.
let Top_5_States =
StormEvents
| summarize count() by State
| top 5 by count_;
StormEvents
| where State in (Top_5_States)
| count
The same query can be written with an inline tabular expression statement.
StormEvents
| where State in (
StormEvents
| summarize count() by State
| top 5 by count_
)
| count
Output
Count |
---|
14242 |
Top with other example
The following example identifies the top five states with lightning events and uses the iff()
function and in
operator to classify lightning events by the top five states, labeled by state name, and all others labeled as “Other.”
let Lightning_By_State = materialize(StormEvents
| summarize lightning_events = countif(EventType == 'Lightning') by State);
let Top_5_States = Lightning_By_State | top 5 by lightning_events | project State;
Lightning_By_State
| extend State = iff(State in (Top_5_States), State, "Other")
| summarize sum(lightning_events) by State
Output
State | sum_lightning_events |
---|---|
ALABAMA | 29 |
WISCONSIN | 31 |
TEXAS | 55 |
FLORIDA | 85 |
GEORGIA | 106 |
Other | 415 |
Use a static list returned by a function
The following example counts events from the StormEvents
table based on a predefined list of interesting states. The interesting states are defined by the InterestingStates()
function.
StormEvents
| where State in (InterestingStates())
| count
Output
Count |
---|
4775 |
The following query displays which states are considered interesting by the InterestingStates()
function.
.show function InterestingStates
Output
Name | Parameters | Body | Folder | DocString |
---|---|---|---|---|
InterestingStates | () | { dynamic([“WASHINGTON”, “FLORIDA”, “GEORGIA”, “NEW YORK”]) } |
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