cancel
Showing results for 
Search instead for 
Did you mean: 
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.
cancel
Showing results for 
Search instead for 
Did you mean: 
Data + AI Summit 2024 - Data Engineering & Streaming

Forum Posts

User16826992666
by Valued Contributor
  • 982 Views
  • 1 replies
  • 0 kudos
  • 982 Views
  • 1 replies
  • 0 kudos
Latest Reply
Ryan_Chynoweth
Esteemed Contributor
  • 0 kudos

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...

  • 0 kudos
User16826994223
by Honored Contributor III
  • 861 Views
  • 1 replies
  • 0 kudos

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

  • 861 Views
  • 1 replies
  • 0 kudos
Latest Reply
Ryan_Chynoweth
Esteemed Contributor
  • 0 kudos

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...

  • 0 kudos
sajith_appukutt
by Honored Contributor II
  • 891 Views
  • 1 replies
  • 1 kudos
  • 891 Views
  • 1 replies
  • 1 kudos
Latest Reply
sajith_appukutt
Honored Contributor II
  • 1 kudos

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 ...

  • 1 kudos
Anonymous
by Not applicable
  • 1012 Views
  • 2 replies
  • 0 kudos

Resolved! Collaborative features

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

  • 1012 Views
  • 2 replies
  • 0 kudos
Latest Reply
sean_owen
Honored Contributor II
  • 0 kudos

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 ...

  • 0 kudos
1 More Replies
Srikanth_Gupta_
by Valued Contributor
  • 1758 Views
  • 2 replies
  • 0 kudos

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

  • 1758 Views
  • 2 replies
  • 0 kudos
Latest Reply
Mooune_DBU
Valued Contributor
  • 0 kudos

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-*

  • 0 kudos
1 More Replies
User16790091296
by Contributor II
  • 1807 Views
  • 1 replies
  • 0 kudos
  • 1807 Views
  • 1 replies
  • 0 kudos
Latest Reply
sean_owen
Honored Contributor II
  • 0 kudos

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...

  • 0 kudos
User16826994223
by Honored Contributor III
  • 919 Views
  • 1 replies
  • 0 kudos

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

  • 919 Views
  • 1 replies
  • 0 kudos
Latest Reply
User16830818524
New Contributor II
  • 0 kudos

At this time it is not possible

  • 0 kudos
sajith_appukutt
by Honored Contributor II
  • 1011 Views
  • 1 replies
  • 0 kudos
  • 1011 Views
  • 1 replies
  • 0 kudos
Latest Reply
sean_owen
Honored Contributor II
  • 0 kudos

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

  • 0 kudos
User16826994223
by Honored Contributor III
  • 3221 Views
  • 1 replies
  • 0 kudos

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?

  • 3221 Views
  • 1 replies
  • 0 kudos
Latest Reply
sean_owen
Honored Contributor II
  • 0 kudos

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...

  • 0 kudos
User16826992666
by Valued Contributor
  • 1369 Views
  • 1 replies
  • 0 kudos
  • 1369 Views
  • 1 replies
  • 0 kudos
Latest Reply
Ryan_Chynoweth
Esteemed Contributor
  • 0 kudos

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...

  • 0 kudos
User16826992185
by New Contributor II
  • 3897 Views
  • 1 replies
  • 0 kudos

Delta vs. Parquet

I'm curious about the benefits of using the Delta file format vs. Parquet. Is there any downside to using Delta?

  • 3897 Views
  • 1 replies
  • 0 kudos
Latest Reply
sean_owen
Honored Contributor II
  • 0 kudos

Not really. You get upsides like transactions, time travel, upsert/merge/deletes. There is some cost to that, as Delta manages that by writing and managing many smaller Parquet files and has to re-read them to recreate the current or past state of th...

  • 0 kudos
sajith_appukutt
by Honored Contributor II
  • 1055 Views
  • 1 replies
  • 0 kudos

Resolved! I have a streaming aggregation query with highly variable micro-batch processing times. Seeing a lot of GC pauses in the logs . Any pointers on how to debug ?

Though the data volume is relatively even, the  streaming aggregation query is showing highly variable micro-batch processing times

  • 1055 Views
  • 1 replies
  • 0 kudos
Latest Reply
sajith_appukutt
Honored Contributor II
  • 0 kudos

By default, the state data (streaming aggregation query) is maintained in the JVM memory of the executors and large number of state objects could put memory pressure on the JVM causing high GC pauses. If you have stateful operations in your streamin...

  • 0 kudos
Anonymous
by Not applicable
  • 1340 Views
  • 1 replies
  • 0 kudos
  • 1340 Views
  • 1 replies
  • 0 kudos
Latest Reply
sean_owen
Honored Contributor II
  • 0 kudos

DBFS is the "Databricks File System", but really it's just a shim / wrapper on top of distributed storage, that makes files in S3 or ADLS look like local files under the path /dbfs/... This can be really useful when working with libraries that do not...

  • 0 kudos
User16826992666
by Valued Contributor
  • 6101 Views
  • 1 replies
  • 0 kudos

Resolved! When should I choose a different driver type on my cluster vs the worker type?

When creating a cluster the driver type defaults to choose the same type as the workers, and this is what I usually choose. But in what of situation would I want to choose a different driver type?

  • 6101 Views
  • 1 replies
  • 0 kudos
Latest Reply
sean_owen
Honored Contributor II
  • 0 kudos

Using the same instance type is a fine default. If you know that you need very large workers, but little happens on the driver, maybe you can save money with a smaller driver. Conversely, you may know that some parts of your notebook involve a lot of...

  • 0 kudos

Connect with Databricks Users in Your Area

Join a Regional User Group to connect with local Databricks users. Events will be happening in your city, and you won’t want to miss the chance to attend and share knowledge.

If there isn’t a group near you, start one and help create a community that brings people together.

Request a New Group
Labels