- 27 Views
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Looking for Advice: Robust Backup Strategy for Databricks System Tables
HI,I’m planning to build a backup system for all Databricks system tables (audit, usage, price, history, etc.) to preserve data beyond retention limits. Currently, I’m using Spark Streaming with readStream + writeStream and checkpointing in LakeFlow ...
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Greetings @Danish11052000 , here’s a pragmatic way to choose, based on the nature of Databricks system tables and the guarantees you want. Bottom line For ongoing replication to preserve data beyond free retention, a Lakeflow Declarative Pipeline w...
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- 49 Views
- 4 replies
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Resolved! [FREE TRIAL] Missing All-Purpose Clusters Access - New Account
Issue Description: I created a new Databricks Free Trial account ("For Work" plan with $400 credits) but I don't have access to All-Purpose Clusters or PySpark compute. My workspace only shows SQL-only features.Current Setup:- Account Email: ronel.ra...
- 49 Views
- 4 replies
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Ah, got it @pabloratache , I did some digging and here is what I found (learned a few things myself). Thanks for the detailed context — this behavior is expected for the current Databricks 14‑day Free Trial (“For Work” plan). What’s happening with ...
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- 28 Views
- 1 replies
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Resolved! Databricks Streaming: Recommended Cluster Types and Best Practices
Hi Community, I recently built some streaming pipelines (Autoloader-based) that extract JSON data from the Data Lake and, after parsing and logging, dump it into the Delta Lake bronze layer. Since these are streaming pipelines, they are supposed to r...
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- 1 replies
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When running streaming pipelines, the key is to design for stability and isolation, not to rely on restart jobs.The first thing to do is run your streams on Jobs Compute, not All-Purpose clusters. If available, use Serverless Jobs. Each pipeline shou...
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- 148 Views
- 2 replies
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Resolved! Course - Introduction to Apache Spark
Hi,In the course Introduction to Apache Spark; according to Apache Spark Runtime Architecture; Page 6 of 15. It says that :The cluster manager allocates resources and assigns tasks......Workers perform tasks assigned by the driverCan you help me plea...
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Hi @fundat Perhaps the picture is useful here:Give this blog a read, I think this will answer some of your questions: https://medium.com/@knoldus/understanding-the-working-of-spark-driver-and-executor-4fec0e669399 .All the best,BS
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- 70 Views
- 2 replies
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Resolved! DLT | Communication lost with driver | Cluster was not reachable for 120 seconds
Hey Community, I'm facing this error, It says that "com.databricks.pipelines.common.errors.deployment.DeploymentException: Communication lost with driver. Cluster 1030-205818-yu28ft9s was not reachable for 120 seconds" This issue occurred in producti...
- 70 Views
- 2 replies
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This is actually a known intermittent issue in Databricks, particularly with streaming or Delta Live Tables (DLT) pipelines.This isn’t a logical failure in your code — it’s an infrastructure-level timeout between the Databricks control plane and the ...
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- 64 Views
- 1 replies
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Pull workspace url and workspace name using databricks-sdk / programaticaly in notebook
1. How could I pull workspace url (https://adb-XXXXX.XX.....net) 2. How could I get workspace name visible in top right corner.I know that easies solution is dbutils.notebook.entry_point.... browserHostName but unfortunetly it is not working in job c...
- 64 Views
- 1 replies
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Can you give this a shot? Not sure if you've a hard requirement of using SDK. workspace_url = spark.conf.get('spark.databricks.workspaceUrl') Getting name is more tricky. You could potentially get it from tags if there is a tagging strategy in place...
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- 45 Views
- 1 replies
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Resolved! Stack traces as standard error in job logs
When using DBR 16.4, I am seeing a lot of Stack traces as standard error in jobs, any idea why they are showing up and how to turn then off? Thx"FlagSettingCacheMetricsTimer" id=18 state=WAITING- waiting on <0x2d1573c6> (a java.util.TaskQueue)- locke...
- 45 Views
- 1 replies
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spark.databricks.driver.disableJvmThreadDump=trueThis setting will remove the ST.
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- 73 Views
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Location of spark.scheduler.allocation.file
In DBR 164.LTS, I am trying to add the following Spark config: spark.scheduler.allocation.file: file:/Workspace/init/fairscheduler.xmlBut the all purpose cluster is throwing this error Spark error: Driver down cause: com.databricks.backend.daemon.dri...
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- 124 Views
- 2 replies
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Resolved! org.apache.spark.SparkRuntimeException: [UDF_USER_CODE_ERROR.GENERIC]
Hi EveryoneI am writing a small function, with spark read from a csv and spark write into a table. I could execute this function within the notebook. But, when I register the same function as a unity catalog function and calling it from Playground, i...
- 124 Views
- 2 replies
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Hi @GiriSreerangam, You cannot use a Unity Catalog user-defined function (UDF) in Databricks to perform Spark read from a CSV and write to a table. Unity Catalog Python UDFs execute in a secure, isolated environment without access to the file system ...
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- 365 Views
- 4 replies
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Access to Databricks Volumes via Databricks Connect not working anymore
Hi all, I use the extension to debug my python code regularly and since yesterday accessing files in the Databricks Volume isn't working anymore. The situation in the UI of Databricks is as follows:When I execute a glob statement to list all zip-file...
- 365 Views
- 4 replies
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hi @JuliandaCruz Thank you for reaching out! I was able to reproduce your case while using Databricks Connect. The "Upload and Run file" option worked fine and returned results, which is essentially the same as running from the Databricks UI. Thou...
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- 217 Views
- 5 replies
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Resolved! when automatic liquid clustering is enabled, how to know which columns are used for clustering?
Let's say a table is configured to have automatic liquid clustering:ALTER TABLE table1 CLUSTER BY AUTO; How to know which columns were chosen by Databricks?
- 217 Views
- 5 replies
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From the documentation, it seems that in Python, there is such an option, only when creating or replacing a table.# To set clustering columns and auto, which serves as a way to give a hint # for the initial selection. df.writeTo(...).using("delta") ...
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- 637 Views
- 7 replies
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Slow PySpark operations after long DAG that contains many joins and transformations
We are using PySpark and notice that when we are doing many transformations/aggregations/joins of the data then at some point the execution time of simple task (count, display, union of 2 tables, ...) become very slow even if we have a small data (ex...
- 637 Views
- 7 replies
- 7 kudos
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It's a cluster with 128 GO of memory, when looking in Spark UI there is 54 GO for storage memory. Honestly I don't think it's memory issue like I said it's a small data and if we do checkpoint at same point then continu we don't have the problem afte...
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- 420 Views
- 3 replies
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Resolved! Cannot import pyspark.pipelines module
Question: What could be a cause of the following error of my code in a Databricks notebook, and how can we fix the error? I'm using latest Free Edition of Databricks that has runtime version 17.2 and PySpark version 4.0.0.Error:ImportError: cannot im...
- 420 Views
- 3 replies
- 2 kudos
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Hi @Saf4Databricks - Are you trying to use it from a standalone Databricks notebook? You should only use it from with Lakeflow Declarative Pipeline (LDP). The link you shared is about LDP. Here is an example where I used it.
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- 327 Views
- 3 replies
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Resolved! Liquid Clustering With Merge
Hello I’m facing severe performance issues with a merge into databricksmerge_condition = """ source.data_hierarchy = target.data_hierarchy AND source.sensor_id = target.sensor_id AND source.timestamp = target.timestamp """The target Delt...
- 327 Views
- 3 replies
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- 231 Views
- 1 replies
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Resolved! Learning Path for Spark Developer Associate
Hello Everyone,Happy for being a part of Virtual Journey !!Enrolled in Associate Spark Developer and completed learning path in Databricks Academy. Can anyone please confirm is completing learning path enough for obtaining 50% off voucher for certifi...
- 231 Views
- 1 replies
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Hello @Bhavana_Y! To be eligible for the incentives, you’ll need to complete one of the pathways mentioned in the Learning Festival post. Based on your screenshot, it looks like you’ve completed all four modules of LEARNING PATHWAY 7: APACHE SPARK DE...
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