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Oct 21, 2019 · You should use distinct operator in your case: your_table. | distinct Category, Session_ID, Step_Name. then you can get the expected output like below, it works at my side: Category Session_ID Step_Name. A 100 1. A 100 2. A 200 1. A 200 2.
Code sample
your_table| distinct Category, Session_ID, Step_NameJun 13, 2022 · As with other languages such as SQL, KQL has an operator for returning a unique list of values in a column: distinct. Using this you can return the values in a column, but only once, removing any duplicate values from the result set.
- Overview
- Prerequisites
- Use the summarize operator
- Visualize query results
- Conditionally count rows
- Group data into bins
- Calculate the min, max, avg, and sum
- Calculate percentages
- Extract unique values
- Bucket data by condition
Aggregation functions allow you to group and combine data from multiple rows into a summary value. The summary value depends on the chosen function, for example a count, maximum, or average value.
In this tutorial, you'll learn how to:
•Use the summarize operator
•Visualize query results
•Conditionally count rows
•Group data into bins
•A Microsoft account or Microsoft Entra user identity to sign in to the help cluster
The summarize operator is essential to performing aggregations over your data. The summarize operator groups together rows based on the by clause and then uses the provided aggregation function to combine each group in a single row.
Find the number of events by state using summarize with the count aggregation function.
Run the query
Output
Visualizing query results in a chart or graph can help you identify patterns, trends, and outliers in your data. You can do this with the render operator.
Throughout the tutorial, you'll see examples of how to use render to display your results. For now, let's use render to see the results from the previous query in a bar chart.
When analyzing your data, use countif() to count rows based on a specific condition to understand how many rows meet the given criteria.
The following query uses countif() to count of storms that caused damage. The query then uses the top operator to filter the results and display the states with the highest amount of crop damage caused by storms.
Run the query
Output
To aggregate by numeric or time values, you'll first want to group the data into bins using the bin() function. Using bin() can help you understand how values are distributed within a certain range and make comparisons between different periods.
The following query counts the number of storms that caused crop damage for each week in 2007. The 7d argument represents a week, as the function requires a valid timespan value.
Run the query
Output
Add | render timechart to the end of the query to visualize the results.
Run the query
To learn more about types of storms that cause crop damage, calculate the min(), max(), and avg() crop damage for each event type, and then sort the result by the average damage.
Note that you can use multiple aggregation functions in a single summarize operator to produce several computed columns.
Run the query
Output
The results of the previous query indicate that Frost/Freeze events resulted in the most crop damage on average. However, the bin() query showed that events with crop damage mostly took place in the summer months.
Use sum() to check the total number of damaged crops instead of the amount of events that caused some damage, as done with count() in the previous bin() query.
Calculate percentage based on two columns
Use count() and countif to find the percentage of storm events that caused crop damage in each state. First, count the total number of storms in each state. Then, count the number of storms that caused crop damage in each state. Then, use extend to calculate the percentage between the two columns by dividing the number of storms with property damage by the total number of storms and multiplying by 100. To ensure that you get a decimal result, use the todouble() function to convert at least one of the integer count values to a double before performing the division. Run the query Output
Calculate percentage based on table size
To compare the number of storms by event type to the total number of storms in the database, first save the total number of storms in the database as a variable. Let statements are used to define variables within a query. Since tabular expression statements return tabular results, use the toscalar() function to convert the tabular result of the count() function to a scalar value. Then, the numeric value can be used in the percentage calculation. Run the query Output
Use make_set() to turn a selection of rows in a table into an array of unique values.
The following query uses make_set() to create an array of the event types that cause deaths in each state. The resulting table is then sorted by the number of storm types in each array.
Run the query
Output
The case() function groups data into buckets based on specified conditions. The function returns the corresponding result expression for the first satisfied predicate, or the final else expression if none of the predicates are satisfied.
This example groups states based on the number of storm-related injuries their citizens sustained.
Run the query
Output
Create a pie chart to visualize the proportion of states that experienced storms resulting in a large, medium, or small number of injuries.
Run the query
Dec 21, 2023 · This tutorial describes how to write queries using common operators in the Kusto Query Language to meet common query needs.
May 31, 2023 · The following series of KQL queries gives you a chance to get some hands-on experience with more of the Distinct operator and a chance to shine your growing expertise. While the following examples are not specifically security related, I believe you will find them interesting because KQL transcends one product, one workload, or one area of focus.
Mar 19, 2021 · I can get the distinct count: SecurityAlert. | where ProductName in ("Microsoft Defender Advanced Threat Protection") | where ProviderName == "MDATP". | mv-expand parsejson (Entities) |extend Computer = tostring (Entities.HostName) |summarize dcount (DisplayName) by Computer. |where dcount_DisplayName >= 2.
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Sep 27, 2022 · 3. C. Fiddle. Another option is to use leftanti join. let t1 = datatable(i:int, x:string)[1,"A", 2,"B", 3,"C" ,4,"D" ,5,"E"]; let t2 = datatable(y:string, i:int)["d",4 ,"e",5 ,"f",6 ,"g",7]; t1. | join kind=leftanti t2 on i. i.
