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Data Engineering
Join discussions on data engineering best practices, architectures, and optimization strategies within the Databricks Community. Exchange insights and solutions with fellow data engineers.
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User16826994223
by • Honored Contributor III
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what are the thresholds for no of jobs ,no of api calls, no of concurrent notebook

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User16826994223
Honored Contributor III
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Design to honor API and other limits of the platform.• Max API calls/ hr = 1500• Jobs per hour per workspace = 1000• Maximum concurrent Notebooks per cluster = 145

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User16826994223
by • Honored Contributor III
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Resolved! Can we convert non NPIP to NPIP works space

Hi I have a cluster which I created as NON NPIP initially on Azure , But I want to change it To NPIP , I am searching on portal to change but I am not seeing any optopn to change, is it possible or do I need to create a Complete different workspa...

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User16826994223
Honored Contributor III
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if you deployed a workspace with NPIP unchecked, you can't convert this to a NPIP workspace (unless something has changed that I was not aware of since a month ago). You'll have to redeploy the workspace with NPIP. NPIP should be a default for all de...

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User16826994223
by • Honored Contributor III
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Is this trigger supported -- trigger(Trigger.Continuous("1 second"))

Does delta file format support the continous trigger streaming as a sink?.trigger(Trigger.Continuous("1 second"))Can't find a document around itIn the spark documentation, I could see that below mentioned sinks are supported:Sinks:Kafka sink: All opt...

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User16826994223
Honored Contributor III
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Nope This is not supported with delta file format

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User16826994223
by • Honored Contributor III
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Resolved! If multiple streams as jar is running and one fail will it fails others also

Hi Team, IHAC who is running multiple stream in the jar based job, one of the streams got terminated, but other streams are processing without termination.Is this know behaviour in case of jar based streaming application? Any insight please? (edited)

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User16826994223
Honored Contributor III
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Failure in any of the active streaming queries causes the active run to fail and terminate all the other streaming queries. You do not need to use  streamingQuery.awaitTermination()or spark.streams.awaitAnyTermination() at the end of your notebook. ...

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User16826994223
by • Honored Contributor III
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Resolved! new input sources to a streaming job while retaining the old checkpoint ?

Hello Team, is there any way to add new input sources to a streaming job while retaining the old checkpoint ? I have seen - Changes in the number or type (i.e. different source) of input sources: This is not allowed . Want to find out if there is any...

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User16826994223
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No you cannot do this, but often you can start a new checkpoint that starts from the same offsets the old one left off at: https://docs.databricks.com/delta/delta-streaming.html#specify-initial-position

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User16826994223
by • Honored Contributor III
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For auto-loader, do we pause fetching the messages from SQS

Hi Team, For auto-loader, do we pause fetching the messages from SQS. Apple restarted their streaming workload and found no new messages are fetched or deleted. Taking the difference of the latest sequence processed and the latest sequence available ...

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User16826994223
Honored Contributor III
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Yes, this is something that is fixed in DBR 8.3

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User16826994223
by • Honored Contributor III
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How to provide access to user bases on the login credentials databricks

Hi Team I am trying to do security audit and its become tough to manage so many credentials and IAM role we have in databricks Different clusters, Is it possible that I simplify it , like a user who has type of access in s3 bucket get same type of...

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User16826994223
Honored Contributor III
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This is a great question and Databricks is working continuously working on management of security , to make user experience better and simple.The use case you are trying to solve will be easily solved using high concurrency cluster and checkin...

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User16826994223
by • Honored Contributor III
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How Databricks Addresses governance challenges ?

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User16826994223
Honored Contributor III
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Access control: Rich suite of access control all the way down to the storage layer. Databricks can take advantage of its cloud backbone by utilizing state-of-the-art AWS security services right in the platform. Federate your existing AWS data access ...

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User16826994223
by • Honored Contributor III
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spark is reading data from source even I am persisting the data

hI allI am reading data and I am caching the data and then I am performing Action Count to get the data in memory, but still, in dag I found out that every time it reads data from SOURCE.

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User16826994223
Honored Contributor III
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It looks like the the spark memory is not sufficient to cache all the data so it read always from source

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User16826994223
by • Honored Contributor III
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Resolved! Change in spark code if I migrate from spark 2.4 to 3.0

I am thinking of migrating the spark 2.4 to 3.0, what should I know to take care of changes thet I need to look at while migrating

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User16826994223
Honored Contributor III
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I see there are many changes that need to take care of if you have used coding in spark 2.4 the changes are in Data set API StatementBuiltin UDF and functionsMore you can get from spark Documentation https://spark.apache.org/docs/latest/sql-migrat...

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User16826987838
by • Contributor
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What type of aws instance and how many are used for an L sized Databricks SQL(SQLA) cluster ?

What type of aws instance and how many are used for an L sized Databricks SQL(SQLA) cluster with Photon enabled

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Taha
Databricks Employee
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L size is 16 workers of i3.8xlarge

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User16826987838
by • Contributor
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Refreshing external tables

After I vacuum the tables, do i need to update the manifest table and parquet table to refresh my external tables for integrations to work?

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Taha
Databricks Employee
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Manifest files need to be re-created when partitions are added or altered. Since a VACUUM only deletes all historical versions, you shouldn't need to create an updated manifest file unless you are also running an OPTIMIZE.

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