- 2856 Views
- 1 replies
- 1 kudos
- 2856 Views
- 1 replies
- 1 kudos
- 1 kudos
Databricks on AWS uses a custom cluster manager and not Kubernetes. EKS is not supported yet
- 1 kudos
- 3553 Views
- 1 replies
- 0 kudos
Resolved! how to troubleshot Python version mismatch error in DBconnect?
Im getting some weird messages when trying to run my Dbconnect. I would like to know if there is a troubleshooting guide to solve Python version mismatch errors.
- 3553 Views
- 1 replies
- 0 kudos
- 0 kudos
We have a troubleshooting section in our docs that could help you to solve this issue. Please check the docs here https://docs.databricks.com/dev-tools/databricks-connect.html#python-version-mismatch
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- 2830 Views
- 1 replies
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Resolved! can I use Dbconnect for my structured streaming jobs?
I would like to know if I can use Dbconnect to run all my structured streaming jobs.
- 2830 Views
- 1 replies
- 0 kudos
- 0 kudos
Unfortunately, no. You cannot use Dbconnect for your streaming jobs. This is one of Dbconnect's limitations. For more details please check the docs: https://docs.databricks.com/dev-tools/databricks-connect.html#limitations
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- 3734 Views
- 1 replies
- 0 kudos
Resolved! How often should I run OPTIMIZE on my Delta Tables?
I know it's important to periodically run Optimize on my Delta tables, but how often should I be doing this? Am I supposed to do this after every time I load data?
- 3734 Views
- 1 replies
- 0 kudos
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It would depend on how frequently you update the table and how often you read it. If you have a daily ETL job updating a delta table, it might make sense to run OPTIMIZE at the end of it so that subsequent reads would benefit from the performance imp...
- 0 kudos
- 4902 Views
- 1 replies
- 0 kudos
Resolved! How do I know which worker type to choose when creating my cluster?
I am new to using Databricks and want to create a cluster, but there are many different worker types to choose from. How do I know which worker type is the right type for my use case?
- 4902 Views
- 1 replies
- 0 kudos
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For delta workloads, where you could benefit from caching it is recommended to use storage optimized instances that come with NVMe SSDs. For other workloads, it would be a good idea to check Ganglia metrics to see whether your workload is Cpu/Memory ...
- 0 kudos
- 3177 Views
- 2 replies
- 1 kudos
Can you run non-spark jobs on Databricks?
Is spark the only type of code that can run on a Databricks cluster?
- 3177 Views
- 2 replies
- 1 kudos
- 1 kudos
Databricks has a Runtime for Machine Learning that comes with a lot of libraries/frameworks pre-installed. This allows you to run for example PyTorch / TensorFlow code without worrying about infrastructure setup, configuration and dependency manage...
- 1 kudos
- 2025 Views
- 1 replies
- 0 kudos
Resolved! What options do I have for controlling end user access to data?
For security and privacy reasons I need to limit what datasets are available for access by end users. How can I accomplish this in a Databricks workspace?
- 2025 Views
- 1 replies
- 0 kudos
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Unity Catalog is the recommended approach as it lets you manage fine-grained data permissions using standard ANSI SQL / UI . More details could be found here
- 0 kudos
- 3625 Views
- 2 replies
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Resolved! When should I set the cluster mode to High Concurrency vs Standard?
How do I know which mode I should be using when creating a cluster?
- 3625 Views
- 2 replies
- 0 kudos
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High Concurrency clusters are ideal for groups of users who need to share resources or run ad-hoc jobs - for example data scientists sharing a cluster. They come with Query Watchdog, a process which keeps disruptive queries in check by automatically ...
- 0 kudos
- 3183 Views
- 1 replies
- 1 kudos
Resolved! How long does the automatic notebook Revision History store the changes?
I am wondering how far back I can restore old versions of my notebook.
- 3183 Views
- 1 replies
- 1 kudos
- 1 kudos
I believe it stores since the beginning of the creation of the notebook assuming the revision history doesn't get cleared.
- 1 kudos
- 2287 Views
- 1 replies
- 0 kudos
Chargeback in Azure Databricks
What is the best way to monitor consumption and cost in Azure Databricks? Ultimate goal is to allocate consumption by team/workspace
- 2287 Views
- 1 replies
- 0 kudos
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If your goal is to charge back other teams or business units based on consumption then you should enforce tags on all clusters/compute. These tags will show up on your Azure bill which you can then identify which groups used which resources.
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- 3757 Views
- 1 replies
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Resolved! I have a job with strict performance requirements running in Azure Databricks. I had configured pools to reduce the startup time - but of late I'm seeing that the job cluster startup time is in the order of 5 to 8 minutes
Despite having it configured to run from pools, my Azure Databricks jobs cluster is taking 5 to 8 minutes to launch. Any pointers ?
- 3757 Views
- 1 replies
- 0 kudos
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If you are using pools then you should consider keeping a min idle count of machines greater than 2. This will allow you to have machines available and ready to use. If you have 0 machines on idle then the first job executed against the pool will hav...
- 0 kudos
- 2295 Views
- 1 replies
- 1 kudos
Receiving a "Databricks Delta is not enabled on your account" error
The team is using Databricks Light for some pipeline development and would like to leverage Delta but are running into this error? "Databricks Delta is not enabled on your account"How can we enable Delta for our account
- 2295 Views
- 1 replies
- 1 kudos
- 1 kudos
Databricks Light is the open source Apache Spark runtime and does not come with any type of client for Delta Lake pre-installed. You'll need to manually install open source Delta Lake in order to do any reads or writes.See our docs and release notes ...
- 1 kudos
- 2553 Views
- 1 replies
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Resolved! What happens when you write to same Delta table from two different clusters at the same time?
- 2553 Views
- 1 replies
- 0 kudos
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Delta Lake uses optimistic concurrency control to provide transactional guarantees between writes. Under this mechanism, writes operate in three stages:Read: Reads (if needed) the latest available version of the table to identify which files need to ...
- 0 kudos
- 1772 Views
- 1 replies
- 0 kudos
Resolved! Is it possible to have time travel capability but also be able to selectively vacuum ?
I would like to have time travel functionality for several months but that ends up adding up storage costs. Is there some way to have mix of vacuum and time travel?
- 1772 Views
- 1 replies
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There is not a way to time travel past the vacuum retention period. If you would like to time travel back lets say 3 months then you are not able to vacuum a shorter time frame.
- 0 kudos
- 2776 Views
- 1 replies
- 0 kudos
Overwriting Delta Table Using SQL
I have a delta table that is updated nightly, that I drop and recreate at the start of each day. However, this isn't ideal because every time I drop the table I lose all the info in the transaction log. Is there a way that I can do the equivalent of:...
- 2776 Views
- 1 replies
- 0 kudos
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I think you are looking for the INSERT OVERWRITE command in Spark SQL. Check out the documentation here: https://docs.databricks.com/spark/latest/spark-sql/language-manual/sql-ref-syntax-dml-insert-overwrite-table.html
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