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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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APol
by • New Contributor II
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Read/Write concurrency issue

Hi. I assume that it can be concurrency issue. (a Read thread from Databricks and a Write thread from another system)From the start:I read 12-16 csv files (approximately 250Mb each of them) to dataframe. df = spark.read.option("header", "False").opti...

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FerArribas
Contributor
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Hi @Anastasiia Polianska​,I agree, it looks like a concurrency issue. Very possibly this concurrency problem will be caused by an erroneous ETAG in the HTTP call to the Azure Storage API (https://azure.microsoft.com/de-de/blog/managing-concurrency-in...

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Saikrishna2
by • New Contributor III
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Data bricks SQL is allowing 10 queries only ?

•Power BI is a publisher that uses AD group authentication to publish result sets. Since the publisher's credentials are maintained, the same user can access the data bricks database.•Number of the users are retrieving the data from the power bi or i...

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VaibB
Contributor
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I believe 10 is a limit as of now. See if you can increase the concurrency limit from the source.

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Phani1
by • Valued Contributor II
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Delta table Concurrent Updates for Non-partitioned tables

When we implemented the concurrent updates on a table which do not have a partition column we ran into ConcurrentAppendException [ensured where the condition is different for each concurrent update statement]So do we need to go by partition approach ...

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Hubert-Dudek
Esteemed Contributor III
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Please check that both streaming queries don't use the same checkpoint,Auto increment id can also make problems as it is kept in schemaSchema evolution also can make problems

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KrishZ
by • Contributor
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How to prevent sql queries in 2 notebooks from reading the same row from a Table ?

I have an SQL query to select and update rows in a table. I do this in batches of 300 rows (select 300 , update the selected 300 , select new 300 and update the newly selected and so on..) I run this query in 2 different notebooks concurrently to spe...

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Anonymous
Not applicable
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Hi @Krishna Zanwar​ Hope all is well! Just wanted to check in if you were able to resolve your issue and would you be happy to share the solution or mark an answer as best? Else please let us know if you need more help. We'd love to hear from you.Tha...

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jwilliam
by • Contributor
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Resolved! What is the maximum of concurrent streaming jobs for a cluster?

What is the maximum of concurrent streaming jobs for a cluster? How can I have the right amount of concurrent streaming jobs for different cluster configuration?Should I use multiple cluster for different jobs or combine it into a big cluster to hand...

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Prabakar
Databricks Employee
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Hi @John William​ it would be better to use different clusters for each streaming jobs.

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MiguelKulisic
by • New Contributor II
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Resolved! ProtocolChangedException on concurrent blind appends to delta table

Hello, I am developing an application that runs multiple processes that write their results to a common delta table as blind appends. According to the docs I've read online: https://docs.databricks.com/delta/concurrency-control.html#protocolchangedex...

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-werners-
Esteemed Contributor III
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I think you are right, the mergeSchema will change the schema of the table, but if you both write to that same table with another schema, which one will it be?Can you check if both of you actually write the same schema, or remove the mergeschema?

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User16790091296
by • Contributor II
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Why doesn’t high concurrency cluster support Scala?

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sean_owen
Databricks Employee
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Broadly, it's because high-concurrency cluster have to have much more control of user workloads in order to enforce resource sharing constraints. Scala is the lowest-level language you can access in Databricks, as you execute directly in the JVM, and...

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