- 3838 Views
- 1 replies
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What timezone is the “timestamp” value in the Databricks Usage log?
What timezone is the “timestamp” value in the Databricks Usage log ?Is it UTC?timestamp2020-12-01T00:59:59.000ZNeed to match this to AWS Cost Explorer timezone for simplicity.It's UTC.Please see timestamp under Audit Log Schema https://docs.databrick...
- 3838 Views
- 1 replies
- 0 kudos
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UTC
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- 3999 Views
- 1 replies
- 1 kudos
Resolved! Create a new cluster in Databricks using databricks-cli
I'm trying to create a new cluster in Databricks on Azure using databricks-cli.I'm using the following command:databricks clusters create --json '{ "cluster_name": "template2", "spark_version": "4.1.x-scala2.11" }'And getting back this error: Error: ...
- 3999 Views
- 1 replies
- 1 kudos
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I found the right answer here.The correct format to run this command on azure is:databricks clusters create --json '{ "cluster_name": "my-cluster", "spark_version": "4.1.x-scala2.11", "node_type_id": "Standard_DS3_v2", "autoscale" : { "min_workers": ...
- 1 kudos
- 25214 Views
- 1 replies
- 1 kudos
Read Delta Table with Pandas
Is it possible to read a Delta table directly into a Pandas Dataframe?
- 25214 Views
- 1 replies
- 1 kudos
- 1 kudos
You'd have convert a delta table to pyarrow and then use to_pandas. See https://databricks.com/blog/2020/12/22/natively-query-your-delta-lake-with-scala-java-and-python.html for details# Create a Pandas Dataframe by initially converting the Delta Lak...
- 1 kudos
- 2617 Views
- 1 replies
- 1 kudos
Why do we need the ec2:CreateTags and ec2:DeleteTags permissions?
Why do we need the ec2:CreateTags and ec2:DeleteTags permissions?Are they required?Are ec2 tags used internally as well?
- 2617 Views
- 1 replies
- 1 kudos
- 1 kudos
Yes, it’s required. It’s how Databrics tracks and tags resources.The tags are used to identify the owner of clusters on the AWS side and Databricks uses the tag information internally as well.
- 1 kudos
- 2699 Views
- 1 replies
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- 2699 Views
- 1 replies
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Yes. We can convert an existing workspace to PrivateLink on E2.So you can have one workspace that's on PL and one that's not.Please contact your Databricks Representative and we can help you make this change.
- 0 kudos
- 3146 Views
- 0 replies
- 3 kudos
What is the difference between a host subnet and a container subnet when deploying a workspace with vnet injection?
How is the host subnet and container subnet used with vnet injection?
- 3146 Views
- 0 replies
- 3 kudos
- 1155 Views
- 0 replies
- 0 kudos
How do you handle Kafka offsets in a DR scenario?
If on one region running a structured streaming job with a checkpoint fails for whatever reason, DR kicks in to run a job in another region. What is the best way for the pick up the offset to continue where the failed job stopped?
- 1155 Views
- 0 replies
- 0 kudos
- 1839 Views
- 1 replies
- 1 kudos
Does Databricks provide any isolation mechanisms when deployed in my account?
Does Databricks provide any isolation mechanisms when deployed in my account?
- 1839 Views
- 1 replies
- 1 kudos
- 1 kudos
If you're running on AWS: Databricks deploys Spark nodes in an Amazon Virtual Private Cloud (VPC) running in the customer’s own AWS account, giving the customer full control over their data and instances. VPCs enable customers to isolate the network ...
- 1 kudos
- 1564 Views
- 1 replies
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- 1564 Views
- 1 replies
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Yes. Please refer here for the limits per Tier.https://docs.databricks.com/resources/limits.html
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- 3506 Views
- 1 replies
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What is Photon in DataBricks
Hey I am new to Databricks and heard of photon , which is the fastest engine developed by Databricks , Will it make the query faster , what about Concurrency of the queries , will it increase
- 3506 Views
- 1 replies
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Photon is databrick's brand new native vectorized engine developed in C++ for improved query performance (speed and concurrency). It integrates directly with the Databricks Runtime and Spark, meaning no code changes are required to use Photon. At thi...
- 0 kudos
- 2153 Views
- 1 replies
- 1 kudos
What are the best ways of developing a customer churn usecase on databricks?
In this blog we implement a typical model for customer attrition in subscription models from data preparation to operationalisation of the model.
- 2153 Views
- 1 replies
- 1 kudos
- 1 kudos
Hello have you read our solution accelerator for prediction customer churn?If you have further questions, please contact your databricks liaison and we can walk you through the solution and how you can deploy it at scale.
- 1 kudos
- 2252 Views
- 1 replies
- 0 kudos
- 2252 Views
- 1 replies
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Delta Live Tables offers built-in data lineage between tables and views defined in a pipeline, which allows for easier monitoring and simplified recovery
- 0 kudos
- 4977 Views
- 2 replies
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- 4977 Views
- 2 replies
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You can monitor user access to data and other resources using Databricks Audit Logs.Diagnostic logging in Azure DatabricksConfigure audit logging in AWS Databricks
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- 3951 Views
- 2 replies
- 1 kudos
What are Best Practices for Spark streaming in Databricks
What are best practices for Spark streaming in Databricksis it good idea to consume multiple topics in one streaming jobis Auto scaling recommended for spark streamingHow many worker nodes we should choose for streaming jobWhen should we run OPTIMIZE...
- 3951 Views
- 2 replies
- 1 kudos
- 1 kudos
See our docs for other considerations when deploying a production streaming job.
- 1 kudos
- 6525 Views
- 2 replies
- 0 kudos
How to do a unionAll() when the number and the name of columns are different?
Looking at the API for Dataframe.unionAll() when you have 2 different dataframes with different number of columns and names unionAll() doesn't work.How can you do it?One possible solution is using the following function which performs the union of tw...
- 6525 Views
- 2 replies
- 0 kudos
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I'm not sure union is the right tool, if the DataFrames have fundamentally different information in them. If the difference is merely column name, yes, rename. If they don't, then the 'union' contemplated here is really a union of columns as well as ...
- 0 kudos
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