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https://docs.databricks.com/dev-tools/api/latest/scim/scim-users.html#create-user
I see a significant performance difference when calling spark.sessionState.catalog.list compared to spark.catalog.list. Is that expected?
spark.sessionState.catalog.listTables is a more lazy implementation.. it does not pull the column details when listing the tables. Hence it's faster. Whereas catalog.listTables will pull the column details as well. If the database has many Delta tabl...
I wanted to get a list of all the Delta tables in a Database. What is the easiest way of getting it.
Below code, the snippet can be used to list down the tables in a databaseval db = "database_name" spark.sessionState.catalog.listTables(db).map(table=>spark.sessionState.catalog.externalCatalog.getTable(table.database.get,table.table)).filter(x=>x....
This is by design and working as expected. Spark writes the data distributedly. use of coalesce (1) can help to generate one file, however this solution is not scalable for large data set as it involves bringing the data to one single task.
Photon is supported for batch workloads today and is the standard on Databricks SQL clusters and available as an option for Automated and Interactive clusters. And photon is in public preview today so available as an option for everyone. See this lin...
Delta has significant value beyond the DML/ACID capabilities. Delta's data organization strategies that @Ryan Chynoweth​ mentions also offer an advantage even for read-only use cases for querying and joining the data. Delta also supports in-place con...
This spark-salesforce connector looks like an option to query this data via SOQL/SAQL and brought into Databricks/Spark
There's actually several options here!AWSIf you'd like a very quick setup but full featured environment for your org, use the AWS quickstart: https://aws.amazon.com/quickstart/architecture/databricks/If you're solo exploring, you can use Databricks c...
is there a way to set the following cluster settings through the SCIM? I am not seeing anything in the API docs that would suggest it is possible but I want to double check here.Enable credential passthroughSingle User AccessPermission settings
Credential passthroughThis actually needs some setting up in AWS IAM to get started. Once you've created the right instance profiles, you'll need to add them to your Databricks workspace. There's pretty exhaustive guides here that has each of the ste...
Databricks jobs api can invoke code from cloud storage. But please note that it will not be stored as a Databricks notebook, rather it would be a source file or jar.
A common option is to use AWS DMS, https://databricks.com/blog/2019/07/15/migrating-transactional-data-to-a-delta-lake-using-aws-dms.html
https://databricks.com/blog/2019/07/15/migrating-transactional-data-to-a-delta-lake-using-aws-dms.html
I've written the code in the notebooks using the Python, and I want to add tests to it to make sure that it won't break when I do more changes.What tools can I use for that tasks?
@Alex Ott​ has an awesome answer!Here is a great blog from our engineering team that may help as well. https://databricks.com/blog/2020/01/16/automate-deployment-and-testing-with-databricks-notebook-mlflow.html
Ray has been getting a lot of traction lately for shining at distributed compute.What are the primary differences between Spark and Ray?In which areas/applications would each be best ? (i.e. Reinforcement Learning)In which cases would it make sense f...
You can use change data feed feature of delta tables as described here: https://docs.databricks.com/delta/delta-change-data-feed.html
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