Log analytics workspace query

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Change your preferences any time. Stack Overflow for Teams is a private, secure spot for you and your coworkers to find and share information. I want to then configure my Application Gateway to log to the same workspace. I don't have this type of scenario deployed in my sub, so no way to dig at it. Take a look at this. Workspaces - Get.

And use the provided properties to cross reference, specifically the resourceGroupName and or workspaceName. Learn more. Ask Question. Asked 1 year, 3 months ago. Active 1 year, 2 months ago. Viewed times. I'm not sure how to get just the workspace that it is logging to. Kathrine Stack Kathrine Stack 7 7 bronze badges. What have you tried so far? Well, I've been looking for ways to get the workspace as a property of the resource.

Active Oldest Votes. However, since you are here My issue is that I don't know the name or the rgn.Azure Monitor stores log data in a Log Analytics workspace. A workspace is a container that includes data and configuration information. To manage access to log data, you perform various administrative tasks related to your workspace.

This article explains how to manage access to logs and to administer the workspaces that contain them, including how to grant access to:. You can view the access control mode configured on a workspace from the Azure portal or with Azure PowerShell.

You can change this setting using one of the following supported methods:. You can view the current workspace access control mode on the Overview page for the workspace in the Log Analytics workspace menu.

You can change this setting from the Properties page of the workspace. Changing the setting will be disabled if you don't have permissions to configure the workspace. Use the following command to examine the access control mode for all workspaces in the subscription:.

A value of False means the workspace is configured with the workspace-context access mode. A value of True means the workspace is configured with the resource-context access mode. If a workspace is returned without a boolean value and is blank, this also matches the results of a False value. Use the following script to set the access control mode for a specific workspace to the resource-context permission:.

Use the following script to set the access control mode for all workspaces in the subscription to the resource-context permission:. To configure the access mode in an Azure Resource Manager template, set the enableLogAccessUsingOnlyResourcePermissions feature flag on the workspace to one of the following values.

Each workspace can have multiple accounts associated with it, and each account can have access to multiple workspaces. Access is managed using Azure role-based access. To grant access to the Log Analytics workspace using Azure permissions, follow the steps in use role assignments to manage access to your Azure subscription resources. For example custom roles, see Example custom roles. Includes all the privileges of the Log Analytics Reader roleallowing the user to read all monitoring data.

In order to successfully perform the last two actions, this permission needs to be granted at the resource group or subscription level. You can use the ability to add a virtual machine extension to a virtual machine to gain full control over a virtual machine.

Azure Log Analytics – meet our new query language

To add and remove users to a user role, it is necessary to have Microsoft. We recommend performing assignments at the resource level workspace to assure accurate access control. Use custom roles to create roles with the specific permissions needed. When users query logs from a workspace using resource-context access, they'll have the following permissions on the resource:.

Custom roles that include specific actions or dedicated built-in roles might not include this permission. See Defining per-table access control below if you want to create different access control for different tables.The API supports the ability to query across multiple workspaces. There are currently two ways to execute these queries: implicit and explicit, differing in syntax and semantics of query execution.

The implicit method performs an automatic union over data in the requested workspace, while the explicit method allows more precision and control over how to access data from each workspace.

log analytics workspace query

For either implicit or explicit cross-workspace queries, you need to specify the resources you will be accessing. There are four types of identifier we accept. For the implicit syntax, you specify the workspaces that you would like for your queries to be scoped over and the API will perform a single query over each application provided in your list.

The syntax for a cross-workspace POST is as follows:. In the GET version, the workspaces query parameters is a comma-separated list of resources to query. In some cases you might want the query to operate over a more targeted subset of the data in the workspaces of interest, combining data from multiple workspaces. For these scenarios, it is possible to explicitly mention a workspace and table in the query, similar to how one makes cross-cluster or cross-database queries or joins between tables today.

Here, there would be no query parameter for additional workspaces since the workspaces will get referenced from inside the query itself. For the purposes of rate limiting, 1 cross-resource query counts as 1 API query, regardless of the number of resources in the query. The maximum number of resources in any cross-resource query is limited to Identifiers For either implicit or explicit cross-workspace queries, you need to specify the resources you will be accessing.

Explicit Cross Workspace Queries In some cases you might want the query to operate over a more targeted subset of the data in the workspaces of interest, combining data from multiple workspaces.

The syntax to reference another application is: workspace 'identifier'. Throttling For the purposes of rate limiting, 1 cross-resource query counts as 1 API query, regardless of the number of resources in the query.In Log Analytics, queries typically execute in the context of a workspace. A workspace may contain data for many resources, making it difficult to isolate data for a particular resource.

Resources may additionally send data to multiple workspaces. Azure resource queries produce the same response shape as queries targeting a Log Analytics workspace. The microsoft. These operations have the following format for a table named tableName. Today, Azure resource queries look over Log Analytics workspaces as possible data sources. However, administrators may have locked down access to the workspace via RBAC roles. By default, the API only returns results from workspaces the user has permissions to access.

This creates a scenario where a user may have access to read the logs for an Azure resource, but may not have permission to query the workspace containing those logs.

Workspace administrators resource, to view logs via a boolean property on the workspace. This allows users to access the logs pertaining to the target Azure resource in a particular workspace, so long as the user has access to read the logs for the target Azure resource.

The action for scoping access to Tables at the workspace level is the following:. Below is a brief listing of common failure scenarios when querying Azure resources along with a description of symptomatic behavior. Depending on the precise combination of data and permissions, the response will either contain a with no resulting data or will throw a syntax error 4xx error.

There are some scenarios where a user may have partial permissions to access a particular resource's logs. When a user is missing either:. They will see a normal response, with data sources the user does not have permissions to access silently filtered out. This will cause the response JSON to include a section like the following:. The resources payload describes an attempt to query two VMs.

Additionally, the user does not have permission to query the SecurityEvent or SecurityBaseline tables for the resource. The dataSources payload filters the results further by describing which workspaces the user can query.

Here the user does not have permissions to query WS3, and an additional table filtered out of WS1. Response Format Azure resource queries produce the same response shape as queries targeting a Log Analytics workspace. The action for scoping access to Tables at the workspace level is the following: microsoft. Partial access There are some scenarios where a user may have partial permissions to access a particular resource's logs. When a user is missing either: Access to the workspace containing logs for the Azure resource Access to the tables reference in the query They will see a normal response, with data sources the user does not have permissions to access silently filtered out.

Custom from the workspace.Azure Log Analytics has recently been enhanced to work with a new query language. Recently, the language and the platform it operates on have been integrated into Log Analytics, which allows us to introduce a wealth of new capabilities, and a new portal designed for advanced analytics. This post reviews some of the cool new features now supported. The examples shown throughout the post can also be run in our Log Analytics playground — a free demo environment you can always use, no registration needed.

This is as simple as you can get, but it's still a valid query, that simply returns everything in the Event table. Grabbing every record in a table usually means way too many results though. When analyzing data, a common first step is to review just a bunch of records from a table, and plan how to zoom in on relevant data. This is the general structure of queries — multiple elements separated by pipes. The output of the first element i. In this case, the final query output will be 10 records from the Event table.

After reviewing them, we can decide how to make our query more specific. Often, we will use where to filter by a specific condition, such as this:. Looks like our query still returns a lot of records though. To make sense of all that data, we can use summarize. Summarize identifies groups of records by a common value, and can also apply aggregations to each group.

Try it out on our playground! Sometimes we need to search across all our data, instead of restricting the query to a specific table. Scanning all data could take a bit longer to run.

To search for a term across a set of tables, scope the search this way:. Note that search terms are by default case insensitive. Search queries have many variants, you can read more about them in our tabular operators. We often find that we want to calculate custom fields on the fly, and use them in our analysis.

One way to do it is to assign our own name to automatically-created columns, such as ErrorsCount :. But adding fields does not require using summarize. The easiest way to do it is with extend:. A similar operator is project. Instead of adding the calculated field to the results set, project keeps only the projected fields. In this example, the results will have only four columns:.

log analytics workspace query

Try it out on our playground. A complementary operator is Project-awaywhich specifies columns to remove from the result set. Join merges the records of two data sets by matching values of the specified columns.Previously with Azure Monitor, you could only analyze data from within the current workspace, and it limited your ability to query across multiple workspaces defined in your subscription.

Additionally, you could only search telemetry items collected from your web-based application with Application Insights directly in Application Insights or from Visual Studio. This also made it a challenge to natively analyze operational and application data together. Now you can query not only across multiple Log Analytics workspaces, but also data from a specific Application Insights app in the same resource group, another resource group, or another subscription.

log analytics workspace query

This provides you with a system-wide view of your data. You can only perform these types of queries in Log Analytics. To reference another workspace in your query, use the workspace identifier, and for an app from Application Insights, use the app identifier.

The following examples demonstrate queries across Log Analytics workspaces to return summarized counts of logs from the Update table on a workspace named contosoretail-it.

Resource name - is a human-readable name of the workspace, sometimes referred to as component name. Azure Resource ID — the Azure-defined unique identity of the workspace. You use the Resource ID when the resource name is ambiguous. The following examples return a summarized count of requests made against an app named fabrikamapp in Application Insights. Identifying an application in Application Insights can be accomplished with the app Identifier expression.

The Identifier argument specifies the app using one of the following:. Resource name - is a human readable name of the app, sometimes referred to as the component name. Identifying an application by name assumes uniqueness across all accessible subscriptions. If you have multiple applications with the specified name, the query fails because of the ambiguity. In this case, you must use one of the other identifiers. Azure Resource ID - the Azure-defined unique identity of the app.

You can query multiple resources from any of your resource instances, these can be workspaces and apps combined.

Azure Log Analytics (Preview)

When using cross-resource queries to correlate data from multiple Log Analytics workspaces and Application Insights resources, the query can become complex and difficult to maintain. You should leverage functions in Azure Monitor log queries to separate the query logic from the scoping of the query resources, which simplifies the query structure. The following example demonstrates how you can monitor multiple Application Insights resources and visualize the count of failed requests by application name.

Create a query like the following that references the scope of Application Insights resources. Save the query as function with the alias applicationsScoping. You can now use this function in a cross-resource query like the following. The function alias applicationsScoping returns the union of the requests table from all the defined applications. The query then filters for failed requests and visualizes the trends by application.

The parse operator is optional in this example. It extracts the application name from SourceApp property. If you prefer to use function for resource scoping in log alerts, you need to edit the alert rule in the portal or with a Resource Manager template to update the scoped resources.

Alternatively, you can include the list of resources in the log alert query.Log queries help you to fully leverage the value of the data collected in Azure Monitor Logs. A powerful query language allows you to join data from multiple tables, aggregate large sets of data, and perform complex operations with minimal code. Virtually any question can be answered and analysis performed as long as the supporting data has been collected, and you understand how to construct the right query.

AZ-300 Log Analytics and Query Function

Some features in Azure Monitor such as insights and solutions process log data without exposing you to the underlying queries. To fully leverage other features of Azure Monitor, you should understand how queries are constructed and how you can use them to interactively analyze data in Azure Monitor Logs. Use this article as a starting point to learning about log queries in Azure Monitor. It answers common questions and provides links to other documentation that provides further details and lessons.

Once you have the basics down, walk through multiple lessons using either your own data or data from our demo environment starting with:. This is a rich language designed to be easy to read and author, and you should be able to start using it with minimal guidance.

See Get started with log queries in Azure Monitor for a quick walkthrough of the language using data from Azure Monitor Logs. All data collected in Azure Monitor Logs is available to retrieve and analyze in log queries. Different data sources will write their data to different tables, but you can include multiple tables in a single query to analyze data across multiple sources.

When you build a query, you start by determining which tables have the data that you're looking for, so you should have at least a basic understanding of how data in Azure Monitor Logs is structured. See Structure of Azure Monitor Logs for an explanation of how the data is structured. For more complex analysis, you might retrieve data from multiple tables using a join to analyze the results together.

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Even if you aren't familiar with KQL, you should be able to at least figure out the basic logic being used by these queries. They start with the name of a table and then add multiple commands to filter and process that data.

A query can use any number of commands, and you can write more complex queries as you become familiar with the different KQL commands available. See Get started with log queries in Azure Monitor for a tutorial on log queries that introduces the language and common functions. Log Analytics is the primary tool in the Azure portal for writing log queries and interactively analyzing their results.


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