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DBFS defaults edit for Cluster Logs best practices #25

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DBFS defaults edit for Cluster Logs best practices
a0x8o Oct 22, 2021
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Merge branch 'Azure:master' into master
a0x8o Oct 6, 2023
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Expand Up @@ -412,7 +412,7 @@ You should treat Init scripts with *extreme* caution because they can easily lea
## Use Cluster Log Delivery Feature to Manage Logs
*Impact: Medium*

By default, Cluster logs are sent to default DBFS but you should consider sending the logs to a blob store location under your control using the [Cluster Log Delivery](https://docs.azuredatabricks.net/user-guide/clusters/log-delivery.html#cluster-log-delivery) feature. The Cluster Logs contain logs emitted by user code, as well as Spark framework’s Driver and Executor logs. Sending them to a blob store controlled by yourself is recommended over default DBFS location because:
By default, Cluster logs are sent to DBFS by default (```dbfs:/cluster-logs```) but you should consider sending the logs to a blob store location under your control using the [Cluster Log Delivery](https://docs.azuredatabricks.net/user-guide/clusters/log-delivery.html#cluster-log-delivery) feature. The Cluster Logs contain logs emitted by user code, as well as Spark framework’s Driver and Executor logs. Sending them to a blob store controlled by yourself is recommended over default DBFS location because:
1. ADB’s automatic 30-day default DBFS log purging policy might be too short for certain compliance scenarios. A blob store loction in your subscription will be free from such policies.
2. You can ship logs to other tools only if they are present in your storage account and a resource group governed by you. The root DBFS, although present in your subscription, is launched inside a Microsoft Azure managed resource group and is protected by a read lock. Because of this lock the logs are only accessible by privileged Azure Databricks framework code. However, constructing a pipeline to ship the logs to downstream log analytics tools requires logs to be in a lock-free location first.

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