Log Analytics Query Language - Unified (2024)

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You can enjoy the benefit of IT Health and On-Demand Assessments with your Premier agreement by purchasing a RAP as a Service subscription. Contact your Microsoft representative for more information.

The new and improved Azure Log Analytics announced recently provides a powerful query language with built-in Smart Analytics.

To make the best use of the enhancements, we have provided few queries tomake sense of your assessments data using the new query language.

Try the new query language:

  1. Ramp-Up in 5 minutes with our query language cheat sheet.

  2. Visit Getting Started with Queries to learn how to write new queries.

  3. Use the Query Language Reference for details on functions, operators, and types.

  4. Check out our tutorials on Working with String, and Date and Time Operations to learn about data types.

  5. Use aggregations to get insights on your data.

Relevant Queries

  1. Get Assessment Log Data for a Particular Computer

    • Operation | where Computer == "ContosoADDS1.ContosoRetail.com" |summarize arg_max(TimeGenerated, *) by OperationCategory, Solution, Detail
  2. Check the Status of a Solution for Various Operation Categories on AllComputers

    • Check whether Operations such as Assessment Target Check, .NET Check, IsLocal Administrator Check etc. were successful or not.

    • Operation | where Solution =="SQLAssessment" | summarizearg_max(TimeGenerated, *) by Computer, OperationCategory | sort byTimeGenerated desc , OperationStatus asc

  3. For an Assessment, get all Affected Objects and when they were Accessed

    • SQLAssessmentRecommendation | summarize AggregatedValue =max(TimeGenerated) by AffectedObjectName | sort by AggregatedValue desc
  4. Check for Recommendation Data Available for an Assessment or Not

    • SQLAssessmentRecommendation | summarize Result = count() > 0(returns atrue or false value based on whether data is available or not)
  5. To Get Details for a Particular Recommendation Id that Failed

    • SQLAssessmentRecommendation | where RecommendationId=="7821eda2-c420-4920-bc0c-ca8cd1d48482" and RecommendationResult=="Failed"
  6. Get Prioritized list of Failed Recommendations

    • This lists the failed recommendations for unique combinations ofRecommendationId and AffectedObjectUniqueName for the latest run of anAssessment.
    • ADAssessmentRecommendation | summarize arg_max(TimeGenerated, *) byRecommendationId, AffectedObjectUniqueName |where RecommendationResult =="Failed" | sort by RecommendationScore desc, TimeGenerated desc

Refer use of arg_max as mentioned in query 1 above.

  1. Get Details Related to Recommendations that Failed for a ParticularAffected Object

    • SQLAssessmentRecommendation | where AffectedObjectName =="ContosoMABSVM1.CONTOSORETAIL.COM" | summarize arg_max(TimeGenerated, *)by RecommendationId | where RecommendationResult == "Failed"

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Log Analytics Query Language  - Unified (2024)

FAQs

What query language does Log Analytics use? ›

Azure Monitor Logs is based on Azure Data Explorer, and log queries are written by using the same Kusto Query Language (KQL). This rich language is designed to be easy to read and author, so you should be able to start writing queries with some basic guidance.

What is the query language in ADX? ›

Kusto Query Language, or KQL, is a read-only request language used to write queries for Azure Data Explorer (ADX), Azure Monitor Log Analytics, Azure Sentinel, and more.

What is the query language used to query long analytics? ›

Initially created in the 1970s, SQL is regularly used not only by database administrators but also by developers writing data integration scripts and data analysts looking to set up and run analytical queries.

What query language is used to query log data in App insights? ›

Azure Application Insights uses Kusto Db to store all the log information and Kusto Query Language (KQL) to query that information. KQL is a read-only query language that processes the data and returns results. It uses a pipe (|) operator to concatenate all statements.

Is log analytics deprecated? ›

The legacy Log Analytics agent will be deprecated by August 2024. After this date, Microsoft will no longer provide any support for the Log Analytics agent.

What is the best query language? ›

SQL is by far the most popular and commonly used query language for relational databases. It is known as a declarative language, meaning it describes what needs to be accomplished rather than how to accomplish it, but it also includes traditionally procedural elements.

What are the 5 query languages? ›

Depends on what we need to do when managing the database, SQL programming differ into 5 types which is DCL, TCL, DQL, DDL, and DML. DDL helps us to define the database structure. There are 5 types of command that included into DDL, such as: CREATE, this statements is used to define the database structure.

What is the ADX formula in Python? ›

Simply put, ADX is derived from two other indicators: plus DI and minus DI. The plus DI, or plus directional index, quantifies the presence of an uptrend; and the minus DI, or minus directional index, quantifies the presence of a downtrend. ADX is the smoothed averages of the difference between plus DI and minus DI.

What is the formula for ADX? ›

The smoothed moving average is calculated over the number of periods selected, and the average true range is a smoothed average of the true ranges. Then: ADX = 100 times the smoothed moving average of the absolute value of (+DI − -DI) divided by (+DI + -DI)

What are the 4 types of query language? ›

Data Query Language (DQL) is part of the base grouping of SQL sub-languages. These sub-languages are mainly categorized into four categories: a data query language (DQL), a data definition language (DDL), a data control language (DCL), and a data manipulation language (DML).

Does Splunk use Kusto? ›

In the following examples, the Splunk field rule maps to a table in Kusto, and Splunk's default timestamp maps to the Logs Analytics ingestion_time() column.

Is KQL easy to learn? ›

KQL is a simple yet powerful language to query structured, semi-structured, and unstructured data. The language is expressive, easy to read and understand the query intent, and optimized for authoring experiences.

What is log analytics query language? ›

The Log Analytics query language is a powerful and flexible way to search and analyze data in Log Analytics. It includes a variety of operators and functions that you can use to filter, group, and aggregate data.

What query language is Splunk? ›

Splunk developed the Search Processing Language (SPL) to use with Splunk software. SPL encompasses all the search commands and their functions, arguments, and clauses. One way to learn the SPL language is by using the Search Assistant.

What is query log analysis? ›

Each data source has a query log that lists all the running and completed queries that were run against it in the last 30 days. It also provides other details and stats for each query that can help you analyze its performance. You must have permission to manage the data source to view its query log.

What query language does Splunk use? ›

Splunk developed the Search Processing Language (SPL) to use with Splunk software. SPL encompasses all the search commands and their functions, arguments, and clauses.

What is the query language for data analysis? ›

SQL (Structured Query Language) is a programming language designed for managing data in a relational database. It's been around since the 1970s and is the most common method of accessing data in databases today.

Is datalog a query language? ›

Datalog, a declarative subset of Prolog, is a flexible and powerful declarative query language proficient at dealing with the complex and multi-hop relationships that occur in graphs. Graph query languages not based on Datalog lack the level of clarity, simplicity, and logical framework that Datalog provides.

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