I have created a log analytics workspace which used the grab all metrics from a databricks cluster.
Actually, my query would be to get the times when the cluster were running more than 10 worker instances. Can I find this information through log analytics in azure for databricks?
any hint would be apprecited.
You can use the Log4j appender to send your Azure Databricks application logs to Azure Log Analytics.
Refer Send application logs using Log4j to know the steps to implement the same.
You can also visualize the Databricks resource metrics using Grafana and Virtual Machine. Check this official Microsoft documentation for the same. Use dashboards to visualize Azure Databricks metrics
Related
Is there a way to access the metadata of Azure Data Catalog? I looked up the documentation and went through the Azure Activity log of Azure Data Catalog. However, it seems like there is no access activities(i.e. who accessed Azure Data Catalog at what point of time) log I can use. Is there such activity anywhere in Azure at the moment?
Unfortunately there is no such way to check the activity logs. I would recommend you to please have a look at Azure Purview which has updated Data Catalog features.
You can refer to this document which has describes how to configure metrics, alerts, and diagnostic settings for Azure Purview using Azure Monitor: Azure Purview metrics in Azure Monitor
Databricks only provides cluster level logs in the UI or in the API. Is there a way to configure spark or log4j in databricks such that we get run/job level logs?
You can find a Guide on Monitoring Azure Databricks on the Azure Architecture Center, explaining the concepts used in this article - Monitoring And Logging In Azure Databricks With Azure Log Analytics And Grafana.
To provide full data collection, we combine the Spark monitoring library with a custom log4j.properties configuration. The build of the monitoring library for Spark 2.4 and the installation in Databricks is automated through the scripts referenced in the tutorial and available at https://github.com/algattik/databricks-monitoring-tutorial/.
I created notebooks in Azure databricks workspace and want to monitor my notebooks by using Log Analytics workspace but I could not see any log metrics for databricks notebook because databricks is a third-party tool. Like as we create log metrics monitoring for Azure SQL database by using log analytics with SQL analytics. After following few docs and blogs I got to know there is no inbuilt feature in log analytics for monitoring databricks notebook, I have to write custom code(using Python) for monitoring databricks notebook. Team, could you please help me here if anyone has implemented the same and have some idea. I followed this link:
https://learn.microsoft.com/en-us/azure/databricks/administration-guide/account-settings/azure-diagnostic-logs
Have you tried the steps mentioned in this document: “Diagnostic logging in Azure Databricks”?
By configuring Diagnostic setting, you can configure the collection of following data:
{ dbfs, clusters, accounts, jobs, notebook,ssh, workspace, secrets, sqlPermissions, instancePools}
STEP1: Make sure you have configured the diagnostic setting.
STEP2: After configuring the diagnostic setting, you can go to Log Analytics Workspace => Logs => Log Management => You will find Databricks Notebook => Run the below query to get the details about the notebook.
DatabricksNotebook
| where TimeGenerated > ago(24h)
| limit 10
STEP3: You can select any one from the results and check all the details regarding the notebook.
Our Project is a Java Spring boot application, We have a logging system using log4j, Which we are pushing into the Azure Storage accounts.
Question:
I want to query these custom logs in OMS. (Is it possible)
If Yes how.
Till now what i have tried is.
1. Pushed the logs in Blob storage using Logback and container looks like
Pushed logs in table storage
And configured Storage accounts in log analytics in Azure workspace
But i am unable to see any Analytic data to query in OMS .
Please help.
If you can't use Application Insights, you can read logs files from Storage and use HTTP Data Collector API to push logs into Log Analytics workspace. Samples and reference: https://learn.microsoft.com/en-us/azure/log-analytics/log-analytics-data-collector-api
Where does data logs of Azure Pipeline v2 gets stored, I would like to retrieve data of failed pipelines for specific date.( Dont want to use azure portal to view these data). Is there any table/view holds such datalogs from database.
To my knowledge, to obtain diagnostic logs you can use Azure Monitor, Operations Management Suite (OMS), or monitor those pipelines visually.
By Azure Pipeline v2, you mean Azure Data Factory v2. Alert and Monitor data factories using Azure Monitor
Diagnostic logs:
Save them to a Storage Account for auditing or manual inspection. You can specify the retention time (in days) using the diagnostic settings.
Stream them to Event Hubs for ingestion by a third-party service or custom analytics solution such as PowerBI.
Analyze them with Log Analytics
The logs are stored on Azure Data Factory web server for 45 days. If you want to get the pipeline run and activity run metadata, you can use Azure Data Factory SDK to extract the information you need and save it somewhere you want.
Recommended approach on this for log term analysis as well as limiting access to a production data factory would be to configure logs to be sent to log analytics. Be sure to enable dedicated logging tables as this will help on the backend in terms of organizing your logs.
From there you can also set up alerts and access groups running off of log analytics queries for better monitoring.