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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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Forum Posts

kasuskasus1
by Databricks Partner
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Resolved! How to use GLOW in Databricks Premium on AWS?

Hi!Have connected workspace to AWS, but when I execute in a new notebook:  %python %pip install glow.py import glow from pyspark.sql import SparkSession # Create a Spark session spark = (SparkSession.builder .appName("Genomics Analysis") ...

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kasuskasus1
Databricks Partner
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Solved this with the help of colleagues at last. First of all, it won't work with Serverless mode, so a cluster is required. Once the cluster is created in Compute section, on Library tab add those 2 libraries:Then running:import glow from pyspark.sq...

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lozik
by Databricks Partner
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Python callback functions fail to trigger

How can I get sys.exceptionhook and atexit module to trigger a callback function on exit of a python notebook? These fail to work when an unhandled exception is encountered (exceptionhook), or the program exits (atexit). 

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Pieter
New Contributor II
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Hey Lozik,Ran into this myself as well. The reason this doesn't work is because Databricks is using Ipython under the hood.The following codesnippet creates an exception hook for all exceptions (using the general Exception), it's also possible to spe...

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mjedy78
by New Contributor II
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Databricks read CDF by partitions for better performance?

I’m working with a large dataframe in Databricks, processing it in a streaming-batch fashion (I’m reading as a stream, but using .trigger(availableNow=True) for batch-like processing).I’m fetching around 40GB of CDF updates daily and performing some ...

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cherry54wilder
New Contributor II
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You can indeed leverage your partitioned column to read and process Change Data Feed (CDF) changes in partitions. This approach can help you manage the processing load and improve performance. Here's a general outline of how you can achieve this:1. *...

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pra18
by New Contributor II
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Handling Binary Files Larger than 2GB in Apache Spark

I'm trying to process large binary files (>2GB) in Apache Spark, but I'm running into the following error:File format is : .mf4 (Measurement Data Format) org.apache.spark.SparkException: The length of ... is 14749763360, which exceeds the max length ...

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Alberto_Umana
Databricks Employee
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Hi @pra18, You can split and load the binary files using split command like this. ret = os.system("split -b 4020000 -a 4 -d large_data.dat large_data.dat_split_")

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shan-databricks
by Databricks Partner
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Databricks Workflow Orchestration

I have 50 tables and will increase gradually, so I want to create a single workflow to orchestrate the job and run it table-wise. Is there an option to do this in Databricks workflow?

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Edthehead
Contributor III
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Breakup these 50 tables logically or functionally and place them in their own workflows. A good strategy would be to group tables that are dependent in the same workflow. Then use a master workflow to trigger each child workflow. So it will be like a...

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subhas_1729
by New Contributor II
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Dashboard

Hi       I want to design a dashboard that will show some variables of Spark-UI. Is it possible to access Spark-UI variables from my spark program. 

  • 1845 Views
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Alberto_Umana
Databricks Employee
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Hi @subhas_1729, You can achieve this by leveraging Spark's monitoring and instrumentation APIs. Spark provides metrics that can be accessed through the SparkListener interface as well as the REST API. The SparkListener interface allows you to receiv...

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dbhavesh
by Databricks Partner
  • 1790 Views
  • 3 replies
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How to Apply row_num in DLT

Hi all,how to use row_num in DLT or What is the alternative for row_num function in DLT.We are looking for same functionality which row num is doing. Thanks in advance.

  • 1790 Views
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Takuya-Omi
Valued Contributor III
  • 1 kudos

@dbhavesh I apologize for the lack of explanation.The ROW_NUMBER function requires ordering over the entire dataset, making it a non-time-based window function. When applied to streaming data, it results in the "NON_TIME_WINDOW_NOT_SUPPORTED_IN_STREA...

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sachin_kanchan
by New Contributor III
  • 2229 Views
  • 6 replies
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Unable to log in into Community Edition

So I just registered for the Databricks Community Edition. And received an email for verification.When I click the link, I'm redirected to this website (image attached) where I am asked to input email. And when I do that, it sends me a verification c...

db_fail.png
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sachin_kanchan
New Contributor III
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What a disappointment this has been

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prasidataengine
by New Contributor II
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Issue when connecting with Databricks cluster 15.4 without unity catalog using databricks connect

Hi,I have a shared cluster created on databricks which uses 15.4 runtime.I dont want to enable the unity catalog for this cluster.Previously I used python 3.9.13 version to connect to 11.3 cluster using databricks connect 11.3Now my company has restr...

Data Engineering
Databricks
databricks-connect
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Alberto_Umana
Databricks Employee
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Hi @prasidataengine, For DBR runtime 13.3 LTS and above you must have Unity Catalog enabled to be able to use databricks-connect. A Databricks account and workspace that have Unity Catalog enabled. See Set up and manage Unity Catalog and Enable a wo...

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vidya_kothavale
by Contributor
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MongoDB Streaming Not Receiving Records in Databricks

Batch Read (spark.read.format("mongodb")) works fine.Streaming Read (spark.readStream.format("mongodb")) runs but receives no records.Batch Read (Works):df = spark.read.format("mongodb")\.option("database", database)\.option("spark.mongodb.read.conne...

  • 1092 Views
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Alberto_Umana
Databricks Employee
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Hello @vidya_kothavale, MongoDB requires the use of change streams to enable streaming. Change streams allow applications to access real-time data changes without polling the database. Ensure that your MongoDB instance is configured to support change...

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Dianagarces8
by New Contributor
  • 740 Views
  • 1 replies
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The lifetime of files in the DBFS are NOT tied to the lifetime of our cluster

What happen so that the lifetime of files in the DBFS are NOT tied to the lifetime of our cluster?

  • 740 Views
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-werners-
Esteemed Contributor III
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files in dbfs are typically not linked to a cluster or it's lifetime.There are tmp directories in dbfs so perhaps you are looking at those, but f.e. Filestore can definitely be used.However, I suggest not using dbfs but some data lake (S3/ADLS).

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AbishekP
by New Contributor
  • 1047 Views
  • 1 replies
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Unable to run selected lines in Databricks

I'm using SQL language in databricks. Basically I'm a tester and I'm trying to test the data load on tables by writing various queries. I'm unable to select a particular query and run. Ctrl+Shift+Enter shortcut is not working.Currently I need to open...

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Edthehead
Contributor III
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You cannot do this from the notebooks. But you can do it via the SQL editor as shown below. 

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Radix95
by New Contributor II
  • 2907 Views
  • 3 replies
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Resolved! Error updating tables in DLT

I'm working on a Delta Live Tables (DLT) pipeline in Databricks Serverless mode.I receive a stream of data from Event Hubs, where each incoming record contains a unique identifier (uuid) along with some attributes (code1, code2).My goal is to update ...

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Edthehead
Contributor III
  • 2 kudos

All the tables that DLT writes to or updates needs to be managed by DLT. The reason is that these tables are streaming tables and hence DLT needs to manage the checkpointing. It also does the optimization for such tables. So in your scenario, you can...

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Hariharan49
by New Contributor
  • 2588 Views
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How can I use multiple schema in DLT?

Hi I would like to use multiple schema as destination in dlt but currently I can just give single unity schema . I have my tables of multi hop in different schema.

  • 2588 Views
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kuldeep-in
Databricks Employee
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@Hariharan49  'Direct Publishing Mode' Public Preview is now live on all production regions. This feature will allow you to write to multiple schemas & catalogs from the same pipeline.

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