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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

Forum Posts

sajith_appukutt
by Honored Contributor II
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Resolved! Are there any ways to automatically cleanup temporary files created in s3 by the Amazon Redshift connector

The Amazon Redshift data source in Databricks seems to be using S3 for storing intermediate results. Are there any ways to automatically cleanup temporary files created in S3

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Latest Reply
sajith_appukutt
Honored Contributor II
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You could use storage lifecycle policy for the s3 bucket used for storing intermediate results and configure expiration actions. This way temporary/intermediate results would be automatically cleaned up

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User16752246553
by New Contributor
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How does Vectorized Pandas UDF work?

Do Vectorized Pandas UDFs apply to batches of data sequentially or in parallel? And is there a way to set the batch size?

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sajith_appukutt
Honored Contributor II
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>How does Vectorized Pandas UDF work?Here is a video explaining the internals of Pandas UDFs (a.k.a. Vectorized UDFs) - https://youtu.be/UZl0pHG-2HA?t=123 . They use Apache Arrow, to exchange data directly between JVM and Python driver/executors wit...

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User16826992666
by Valued Contributor
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Resolved! What is the difference between a trigger once stream and a normal one time write?

It seems to me like both of these would accomplish the same thing in the end. Do they use different mechanisms to accomplish it though? Are there any hidden costs to streaming to consider?

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Ryan_Chynoweth
Esteemed Contributor
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The biggest reason to use the streaming API over the non-stream API would be to enable the checkpoint log to maintain a processing log. It is most common for people to use the trigger once when they want to only process the changes between executions...

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User16752240150
by New Contributor II
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What's the best way to use hyperopt to train a spark.ml model and track automatically with mlflow?

I've read this article, which covers:Using CrossValidator or TrainValidationSplit to track hyperparameter tuning (no hyperopt). Only random/grid searchparallel "single-machine" model training with hyperopt using hyperopt.SparkTrials (not spark.ml)"Di...

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sean_owen
Honored Contributor II
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It's actually pretty simple: use hyperopt, but use "Trials" not "SparkTrials". You get parallelism from Spark, not from the tuning process.

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User16826992666
by Valued Contributor
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Ryan_Chynoweth
Esteemed Contributor
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A bloom filter index is a space-efficient data structure that enables data skipping on chosen columns, particularly for fields containing arbitrary text. The Bloom filter operates by either stating that data is definitively not in the file, or that i...

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User16826994223
by Honored Contributor III
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Delta concurrency write Issue

What is concurrent issue in delta, If at a time if we try to write same delta table , it some times fail , how to mitigate that

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Ryan_Chynoweth
Esteemed Contributor
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Delta Lake uses optimistic concurrency control to provide transactional guarantees between writes. Read: Reads (if needed) the latest available version of the table to identify which files need to be modified (that is, rewritten).Write: Stages all th...

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sajith_appukutt
by Honored Contributor II
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Latest Reply
sajith_appukutt
Honored Contributor II
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You'd need to open connections to Databricks web applicationDatabricks secure cluster connectivity (SCC) relayAWS S3 global URLAWS S3 regional URLAWS STS global URLAWS STS regional URLAWS Kinesis regional URLTable metastore RDS regional URL (by data ...

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Anonymous
by Not applicable
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Resolved! Collaborative features

What do you mean by collaborative data science? What collaboration features do you support?

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sean_owen
Honored Contributor II
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This primarily refers to the fact that notebooks can be shared to the whole org, to groups, to users, and can be limited to read/write/execute. You could argue that MLflow is also a form of collaboration, where multiple users can share an experiment ...

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Srikanth_Gupta_
by Valued Contributor
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What are best instance types to use Delta Lake on AWS, Azure and GCP?

Best instance types to use Delta in a better way, are there any recommendations?Example: i3.xlarge vs m5.2x large vs D3v2

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Mooune_DBU
Valued Contributor
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Depending on your queries, if you're looking for Delta Cache Optimized instances, here's the list per provider:AWS: i3.* (i.e. i3.xlarge)Azure: Ls-types (i.e. L4sv2)GCP: n2-highmem-*

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User16790091296
by Contributor II
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sean_owen
Honored Contributor II
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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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User16826994223
by Honored Contributor III
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multitask in Databricks

Hi Team is there any way we can utilize same cluster to run multiple dependent jobs in multi-task, starting cluster for every jobs take time

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User16830818524
New Contributor II
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At this time it is not possible

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sajith_appukutt
by Honored Contributor II
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sean_owen
Honored Contributor II
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Does this help? "No Public IPs": https://docs.microsoft.com/en-us/azure/databricks/security/secure-cluster-connectivity

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User16826994223
by Honored Contributor III
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How to Log Pickle files as a part of Mlflow experiment run

I want to log certain artifacts as python pickle as part of mlflow experimentIs there a way to achieve this?

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sean_owen
Honored Contributor II
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Sure, pickle the object to a local file. Log it to your current run with mlflow.log_artifact. That's it. MLflow lets you log just about anything you want. However if you're experimenting with different variations on a sklearn Pipeline model, you coul...

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User16826992666
by Valued Contributor
  • 1402 Views
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  • 1402 Views
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Latest Reply
Ryan_Chynoweth
Esteemed Contributor
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Standard tiers are allowed to have 1000 saved jobs. Premium tiers have a higher limit at 1500. Some clouds have an enterprise tier which has a saved job limit of 2000. A workspace is limited to 1000 concurrent job runs. A 429 Too Many Requests respon...

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