Manage tables in a Log Analytics workspace

A Log Analytics workspace lets you collect log data from Azure and non-Azure resources into one space for analysis, use by other services, such as Sentinel, and to trigger alerts and actions, for example, using Azure Logic Apps. The Log Analytics workspace consists of tables, which you can configure to manage your data model, data access, and log-related costs. This article explains the table configuration options in Azure Monitor Logs and how to set table properties based on your data analysis and cost management needs.

Table properties

This diagram provides an overview of the table configuration options in Azure Monitor Logs:

Table type and schema

A table's schema is the set of columns that make up the table, into which Azure Monitor Logs collects log data from one or more data sources.

Your Log Analytics workspace can contain the following types of tables:

Table type	Data source	Schema
Azure table	Logs from Azure resources or required by Azure services and solutions.	Azure Monitor Logs creates Azure tables automatically based on Azure services you use and diagnostic settings you configure for specific resources. Each Azure table has a predefined schema. You can add columns to an Azure table to store transformed log data or enrich data in the Azure table with data from another source.
Custom table	Non-Azure resources and any other data source, such as file-based logs.	You can define a custom table's schema based on how you want to store data you collect from a given data source.
Search results	All data stored in a Log Analytics workspace.	The schema of a search results table is based on the query you define when you run the search job. You can't edit the schema of existing search results tables.
Restored logs	Data stored in a specific table in a Log Analytics workspace.	A restored logs table has the same schema as the table from which you restore logs. You can't edit the schema of existing restored logs tables.

Table plan

Configure a table's plan based on how often you access the data in the table:

• The Analytics plan is suited for continuous monitoring, real-time detection, and performance analytics. This plan makes log data available for interactive multi-table queries and use by features and services for 30 days to two years.
• The Basic plan is suited for troubleshooting and incident response. This plan offers discounted ingestion and optimized single-table queries for 30 days.
• The Auxiliary plan is suited for low-touch data, such as verbose logs, and data required for auditing and compliance. This plan offers low-cost ingestion and unoptimized single-table queries for 30 days.

For full details about Azure Monitor Logs table plans, see Azure Monitor Logs: Table plans.

Long-term retention

Long-term retention is a low-cost solution for keeping data that you don't use regularly in your workspace for compliance or occasional investigation. Use table-level retention settings to add or extend long-term retention.

To access data in long-term retention, run a search job.

Ingestion-time transformations

Reduce costs and analysis effort by using data collection rules to filter out and transform data before ingestion based on the schema you define for your custom table.

Huomautus

Tables with the Auxiliary table plan do not currently support data transformation. For more details, see Auxiliary table plan public preview limitations.

View table properties

Huomautus

The table name is case sensitive.

Portal

To view and set table properties in the Azure portal:

1. From your Log Analytics workspace, select Tables.

   The Tables screen presents table configuration information for all tables in your Log Analytics workspace.

   

2. Select the ellipsis (...) to the right of a table to open the table management menu.

   The available table management options vary based on the table type.

   1. Select Manage table to edit the table properties.

   2. Select Edit schema to view and edit the table schema.

API

To view table properties, call the Tables - Get API:

HTTP

GET https://management.azure.com/subscriptions/{subscriptionId}/resourcegroups/{resourceGroupName}/providers/Microsoft.OperationalInsights/workspaces/{workspaceName}/tables/{tableName}?api-version=2021-12-01-preview

Response body

Name	Type	Description
properties.plan	string	The table plan. Analytics, Basic, or Auxiliary.
properties.retentionInDays	integer	The table's interactive retention in days. For Basic and Auxiliiary, this value is 30 days. For Analytics, the value is between four and 730 days.
properties.totalRetentionInDays	integer	The table's total data retention, including interactive and long-term retention.
properties.archiveRetentionInDays	integer	The table's long-term retention period (read-only, calculated).
properties.lastPlanModifiedDate	String	Last time when the plan was set for this table. Null if no change was ever done from the default settings (read-only).

Sample request

HTTP

GET https://management.azure.com/subscriptions/ContosoSID/resourcegroups/ContosoRG/providers/Microsoft.OperationalInsights/workspaces/ContosoWorkspace/tables/ContainerLogV2?api-version=2021-12-01-preview

Sample response

Status code: 200

HTTP

{
    "properties": {
        "retentionInDays": 8,
        "totalRetentionInDays": 8,
        "archiveRetentionInDays": 0,
        "plan": "Basic",
        "lastPlanModifiedDate": "2022-01-01T14:34:04.37",
        "schema": {...},
        "provisioningState": "Succeeded"        
    },
    "id": "subscriptions/ContosoSID/resourcegroups/ContosoRG/providers/Microsoft.OperationalInsights/workspaces/ContosoWorkspace",
    "name": "ContainerLogV2"
}

To set table properties, call the Tables - Create Or Update API.

Azure CLI

To view table properties using Azure CLI, run the az monitor log-analytics workspace table show command.

For example:

Azure CLI

az monitor log-analytics workspace table show --subscription ContosoSID --resource-group ContosoRG --workspace-name ContosoWorkspace --name Syslog --output table  

To set table properties using Azure CLI, run the az monitor log-analytics workspace table update command.

PowerShell

To view table properties using PowerShell, run:

PowerShell

Invoke-AzRestMethod -Path "/subscriptions/ContosoSID/resourcegroups/ContosoRG/providers/microsoft.operationalinsights/workspaces/ContosoWorkspace/tables/Heartbeat?api-version=2021-12-01-preview" -Method GET 

Sample response

JSON

{
  "properties": {
    "totalRetentionInDays": 30,
    "archiveRetentionInDays": 0,
    "plan": "Analytics",
    "retentionInDaysAsDefault": true,
    "totalRetentionInDaysAsDefault": true,
    "schema": {
      "tableSubType": "Any",
      "name": "Heartbeat",
      "tableType": "Microsoft",
      "standardColumns": [
        {
          "name": "TenantId",
          "type": "guid",
          "description": "ID of the workspace that stores this record.",
          "isDefaultDisplay": true,
          "isHidden": true
        },
        {
          "name": "SourceSystem",
          "type": "string",
          "description": "Type of agent the data was collected from. Possible values are OpsManager (Windows agent) or Linux.",
          "isDefaultDisplay": true,
          "isHidden": false
        },
        {
          "name": "TimeGenerated",
          "type": "datetime",
          "description": "Date and time the record was created.",
          "isDefaultDisplay": true,
          "isHidden": false
        },
        <OMITTED>
        {
          "name": "ComputerPrivateIPs",
          "type": "dynamic",
          "description": "The list of private IP addresses of the computer.",
          "isDefaultDisplay": true,
          "isHidden": false
        }
      ],
      "solutions": [
        "LogManagement"
      ],
      "isTroubleshootingAllowed": false
    },
    "provisioningState": "Succeeded",
    "retentionInDays": 30
  },
  "id": "/subscriptions/{guid}/resourceGroups/{rg name}/providers/Microsoft.OperationalInsights/workspaces/{ws id}/tables/Heartbeat",
  "name": "Heartbeat"
}

Use the Update-AzOperationalInsightsTable cmdlet to set table properties.

Next steps

Learn how to:

• Set a table's log data plan
• Add custom tables and columns
• Configure data retention
• Design a workspace architecture