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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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Data + AI Summit 2024 - Data Engineering & Streaming

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User16826992666
by • Valued Contributor
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Resolved! MLflow Model Serving latency expectations

What kind of latency should I expect when using the built in model serving capability in MLflow. Evaluating whether it would be a good fit for our use case

Data Engineering
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sajith_appukutt
Honored Contributor II
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What are your throughput requirements in addition to latency. Currently this is in private preview and databricks recommends this only for low throughput and non-critical applications. However, as it move towards GA, this would change. Please get in...

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brickster_2018
by • Databricks Employee
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Resolved! How to find which delta commit removed a specific file?

Data Engineering
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brickster_2018
Databricks Employee
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val oldestVersionAvailable = val newestVersionAvailable = val pathToDeltaTable = "" val pathToFileName = "" (oldestVersionAvailable to newestVersionAvailable).map { version => var df1 = spark.read.json(f"$pathToDeltaTable/_delta_log/$version%0...

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User16826992666
by • Valued Contributor
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Trying to write my dataframe out as a tab separated .txt file but getting an error

When I try to save my file I getorg.apache.spark.sql.AnalysisException: Text data source supports only a single column, and you have 2 columns.; Is there any way to save a dataframe with more than one column to a .txt file?

Data Engineering
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sajith_appukutt
Honored Contributor II
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Would pyspark.sql.DataFrameWriter.csv work? You could specify the separator (sep) as tabdf.write.csv(os.path.join(tempfile.mkdtemp(), 'data'))

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brickster_2018
by • Databricks Employee
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Resolved! How to find what files were added in a specific version of Delta Table

Data Engineering
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brickster_2018
Databricks Employee
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%scala     display(spark.read.json("//path-to-delta-table/_delta_log/0000000000000000000x.json") .where("add is not null") .select("add.path"))

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jason_mcdonald
by • New Contributor
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Is there a way so set DBU or cost limits so I don't get an unexpected bill?

I'm wondering if there's a way to set a monthly budget and have my workloads stop running if I hit it.

Data Engineering
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aladda
Databricks Employee
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Cluster Policies would help with this not only from a cost management perspective but also standardization of resources across the organization as well simplification for a better user experience. You can find Best Practices on leveraging cluster pol...

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User16826992666
by • Valued Contributor
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What is the default location where dataframes are written if I don't specify a location?

If I save a dataframe without specifying a location, where will it end up?

Data Engineering
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brickster_2018
Databricks Employee
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You cant save a dataframe without specifying a location. If you are using saveAsTable API then the table will be created in the hive warehouse location. The default location is user.hive.warehouse

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User16826992666
by • Valued Contributor
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Why would I make a deep clone of a Delta table vs reading the table and writing a copy to a new location?

It seems like with both techniques I would end up with a copy of my table. Trying to understand when I should be using a deep clone.

Data Engineering
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brickster_2018
Databricks Employee
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A deep clone is recommended way as it holds the history of the table. Also, the DEEP clone is faster than the read-write approach.

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User16826992666
by • Valued Contributor
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How can I run OPTIMIZE on a table if I am streaming to it 24/7?

I have a table that I need to be continuously streaming into. I know it's best practice to run Optimize on my tables periodically. But if I never stop writing to the table, how and when can I run OPTIMIZE against it?

Data Engineering
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brickster_2018
Databricks Employee
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If the streaming job is making bling appends to the delta table, then it's perfectly fine to run OPTIMIZE query in parallel.However, if the streaming job is performing MERGE or UPDATE then it can conflict with the OPTIMIZE operations. In such cases w...

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Anonymous
by • Not applicable
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DBFS Permissions

if there is permission control on the folder/file level in DBFS.e.g. if a team member uploads a file to /Filestore/Tables/TestData/testfile, could we mask permissions on TestData and/or testfile?

Data Engineering
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brickster_2018
Databricks Employee
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DBFS does not have ACL at this point

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User16826987838
by • Contributor
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I am looking for default values for the following two properties delta.logRetentionDuration delta.deletedFileRetentionDuration Any insight?

Data Engineering
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brickster_2018
Databricks Employee
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delta.logRetentionDuration - 30 daysdelta.deletedFileRetentionDuration - 7 days

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brickster_2018
by • Databricks Employee
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Resolved! Best practices for DStream application in Databricks

I do not see any best practice guide for the DStream application in Databricks docs. Any reference

Data Engineering
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brickster_2018
Databricks Employee
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Dstream is unsupported by Databricks. Databrcks strongly recommend migrating the Dstream applications to use Structured Streaminghttps://kb.databricks.com/streaming/dstream-not-supported.html

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brickster_2018
by • Databricks Employee
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Optimize Command not performing the bin packing

I have a daily OPTIMIZE job running, however, the number of files in the storage is not going down. Looks like the optimize is not helping to reduce the files.

Data Engineering
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brickster_2018
Databricks Employee
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The files are not physically removed from the Storage by the optimize command. A VACUUM command has to be executed to achieve the same

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