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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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Forum Posts

Anonymous
by Not applicable
  • 17151 Views
  • 2 replies
  • 3 kudos
  • 17151 Views
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Latest Reply
zerasmus
Contributor
  • 3 kudos

On newer Databricks Runtime versions, %conda commands are not supported. You can use %pip commands instead:%pip list I have tested this on Databricks Runtime 15.4 LTS Beta.

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Student185
by New Contributor III
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Resolved! Is that long-term free version for students still available now?

Dear sir/madam,I've tried lots of methods in order to access the long-term Databricks' free version - community version for students.Also, I followed the instructions - Introduction to Databricks - in Coursera step by step: https://www.coursera.org/l...

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Latest Reply
shreeves
New Contributor II
  • 5 kudos

Look for the "Community Edition" in small print below the button

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ALIDI
by New Contributor II
  • 2021 Views
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training_set.load_df().toPandas() fails with the new pandas version (2.0.0)

pandas 2.0.0 was released on 4.3.2023 and was pushed to my cluster on the same day. The day after I tried using training_set.load_df().toPandas() and it failed. Reverting to pandas 1.5.3. fixed the problem.

  • 2021 Views
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Latest Reply
Anonymous
Not applicable
  • 3 kudos

Hi @Al IDI​ Thank you for posting your question in our community! We are happy to assist you.To help us provide you with the most accurate information, could you please take a moment to review the responses and select the one that best answers your q...

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William_Scardua
by Valued Contributor
  • 1893 Views
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Cosmos DB Connector for 12.1 Cluster and above

Hi guys,​You know what`s the version suporte the databricks cluster version above 12.1 ?my cluster:error: Thank you

databricks-cluster cosmosdb-connector-erro
  • 1893 Views
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Latest Reply
Anonymous
Not applicable
  • 1 kudos

Hi @William Scardua​ Thank you for posting your question in our community! We are happy to assist you.To help us provide you with the most accurate information, could you please take a moment to review the responses and select the one that best answe...

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Mahesh_789
by New Contributor II
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While accessing the data on recipient side using delta_sharing.load_table_changes_as_spark(), it shows data of all versions.

When I tried to access specific version data and set the arguments value to the specific number, I get all version data.data1 = delta_sharing.load_table_changes_as_spark(table_url, starting_version=1, ending_version=1)data2 = delta_sharing.load_table...

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nameziane
by New Contributor III
  • 10798 Views
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Set version (VERSION AS OF) dynamically from return of a subquery

Hello,We have a business request to compare the evolution in a certain delta table.We would like to compare the latest version of the table with the previous one using Delta time travel.The main issue we are facing is to retrieve programmatically us...

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Latest Reply
apingle
Contributor
  • 2 kudos

In the docs it says that "'Neither timestamp_expression nor version can be subqueries." So it does sound challenging. I also tried playing with widgets to see if it could be populated using SQL but didn't succeed. With python it's really easy to do.

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Yaswanth
by New Contributor III
  • 18113 Views
  • 2 replies
  • 12 kudos

Resolved! How can Delta table protocol version be downgraded from higher version to lower version the table properties minReader from 2 to 1 and MaxWriter from 5 to 3.

Is there a possibility to downgrade the Delta Table protocol versions minReader from 2 to 1 and maxWriter from 5 to 3? I have set the TBL properties to 2 and 5 and columnmapping mode to rename the columns in the DeltaTable but the other users are rea...

  • 18113 Views
  • 2 replies
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Latest Reply
youssefmrini
Databricks Employee
  • 12 kudos

Unfortunately You can't downgrade the version. it's an irreversible operation.

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vk217
by Contributor
  • 5101 Views
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Resolved! ERROR: No matching distribution found for databricks-connect==7.3.34

Previously, our databricks-connect was using 7.3.34 and the builds in pipenv and the builds were successful. As of today the builds are failing with error that the version 7.3.34 no longer exists.Is there a reason this version is no longer supported....

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Latest Reply
Atanu
Databricks Employee
  • 1 kudos

Hello @Vikas B​ this is the release note -https://docs.databricks.com/release-notes/dbconnect/index.htmlalso,Only the following Databricks Runtime versions are supported:Databricks Runtime 10.4 LTS ML, Databricks Runtime 10.4 LTSDatabricks Runtime 9....

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User16137833804
by Databricks Employee
  • 3663 Views
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Latest Reply
Sebastian
Contributor
  • 1 kudos

the best solution is to store the .whl locally and do a pip install of the local whl while server boots up. this will freeze the library version. if you install from the pip it might impact your production work.

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brickster_2018
by Databricks Employee
  • 1465 Views
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Resolved! What is the trade-off of using an unsupported DBR version on my cluster?

I do not want to upgrade my cluster every one month. I am looking for stability over new features.

  • 1465 Views
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brickster_2018
Databricks Employee
  • 0 kudos

The strong recommendation is not to use an unsupported version of DBR on your cluster. For production workloads where you don't welcome newer versions, then check the Databricks LTS DBR versions. if using an unsupported version then you don't receiv...

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User16783853906
by Contributor III
  • 4593 Views
  • 1 replies
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Metaexception [Version information not found in metastore] during cluster [re]start

Trying to configure new external metastore and running into the following exception during cluster initialization - Caused by: MetaException(message:Version information not found in metastore. )   at org.apache.hadoop.hive.metastore.RetryingHMSHandl...

  • 4593 Views
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Latest Reply
User16783853906
Contributor III
  • 0 kudos

The above exception happens when the hive schema is not available in the metastore instance. Please check in your init scripts to make sure the following flag is enabled to create hive Schema and tables if not already present. datanucleus.autoCreateA...

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