Databricks runtime version Error

[Solide]

Hello,

I'm following courses on the Databricks academy and using for that purpose the Databricks Community edition using a runtime 12.2 LTS (includes Apache Spark 3.3.2, Scala 2.12) and I believe it can't be changed

I'm following the Data engineering course and some commands are not working and throwing the error

The Databricks Runtime is expected to be one of ['11.3.x-scala2.12', '11.3.x-photon-scala2.12', '11.3.x-cpu-ml-scala2.12'], found "12.2.x-scala2.12".

Is there a way around it? I'd just like to finish the course

Thanks

[Anonymous]

Hi @Hakim Ennouni​ 

Great to meet you, and thanks for your question!

Let's see if your peers in the community have an answer to your question. Thanks.

[Kumaran]

Hi @Solide,

Thank you for posting the question in the Databricks community.

Please go ahead and create your own cluster with the suggested runtime, this seems to resolve the issue.

Please let us know how it works.

[emergentpropert]

In the CE there is no option to select 12.2.x-cpu-ml-scala2.12 runtime.

Only 12.2 LTS (Apache Spark 3.3.2, Scala 2.12)

I need it to follow training: Scalable Machine Learning with Apache Spark.

[emergentpropert]

Hello @Retired_mod, thank you for your answer. When I click click your Contact link (https://live-databricksinc.pantheonsite.io/company/contact) I got Access Denied error. Would like to use Community Edition to do my Machine Learning Practitioner courses, and it will take more than 14 days. I cannot use our .gov account for training. Thanks.

[V2dha]

I was facing the same error. This could be resolved by adding the version that you are currently working with in the config function present in '_common' notebook in the "Includes' folder. (This was the case of my folder structure that I downloaded for the Apache Spark Programming with Databricks course for you the file structure could be different). Below is the function where you have to add the version.

# The following attributes are externalized to make them easy
# for content developers to update with every new course.

course_config = CourseConfig(course_code = "asp",
                             course_name = "apache-spark-programming-with-databricks",
                             data_source_name = "apache-spark-programming-with-databricks",
                             data_source_version = "v03",
                             install_min_time = "2 min",
                             install_max_time = "5 min",
                             remote_files = remote_files,
                             supported_dbrs = ["11.3.x-scala2.12", "11.3.x-photon-scala2.12",  "12.2.x-scala2.12"], #add your version
                             expected_dbrs = "11.3.x-scala2.12, 11.3.x-photon-scala2.12, 12.2.x-scala2.12") #add your version

[gyulook]

This was helpful. I added my runtime version (`13.3.x-aarch64-scala2.12` shown in the error message) to the `_common` Notebook > CMD 4 > `supported_dbrs` and `expected_dbrs` lists. This helped me pass the `__validate_spark_version()` check.

It seems like the `Version Info` Notebook needs to be updated though, since it didn't contain any information related to this particular issue

```

Please see the "Troubleshooting | Spark Version" section of the "Version Info" notebook for more information.

```

[databee]

Problem solved. I didn't import all the folders into Databricks.

This was helpful, but I got another error. See the picture below. How can I get past this error?