- 3099 Views
- 2 replies
- 0 kudos
Merge using DLT
I have a requirement where i need only 24 hours data from my delta tablelets call this as latest tablethis latest table should be in sync with sourceso, it should handle all updates and inserts along with delete (if something gets deleted at source, ...
- 3099 Views
- 2 replies
- 0 kudos
- 0 kudos
from pyspark.sql.functions import col, lit, expr, when, to_timestamp, current_timestampfrom pyspark.sql.functions import max as max_import dltfrom pyspark.sql.types import StructType, StructField, StringTypefrom pyspark.sql.utils import AnalysisExcep...
- 0 kudos
- 13926 Views
- 7 replies
- 4 kudos
Resolved! Databricks Autoloader Checkpoint
Hello Databricks Community,I'm encountering an issue with the Databricks Autoloader where, after running successfully for a period of time, it suddenly stops detecting new files in the source directory. This issue only gets resolved when I reset the ...
- 13926 Views
- 7 replies
- 4 kudos
- 4 kudos
I have found that reducing the number of objects in the landing path (via an archive/cleanup process) is the most reliable fix. Auto Loader's file discovery can bog down in big/"long-lived" landing folders—especially in directory-listing mode—so clea...
- 4 kudos
- 7402 Views
- 7 replies
- 8 kudos
- 7402 Views
- 7 replies
- 8 kudos
- 41020 Views
- 8 replies
- 12 kudos
Resolved! Table write command stuck "Filtering files for query."
Hello all,Background:I am having an issue today with databricks using pyspark-sql and writing a delta table. The dataframe is made by doing an inner join between two tables and that is the table which I am trying to write to a delta table. The table ...
- 41020 Views
- 8 replies
- 12 kudos
- 12 kudos
@timo199 , @boskicl I had similar issue and job was getting stuck at Filtering Files for Query indefinitely. I checked SPARK logs and based on that figured out that we had enabled PHOTON acceleration on our cluster for job and datatype of our columns...
- 12 kudos
- 770 Views
- 3 replies
- 0 kudos
Spark Memory Configuration– Request for Clarification
Hi Team,I have noticed the following Spark configuration is being applied, though it's not defined in our repo or anywhere in the policies:spark.memory.offHeap.enabled = true spark.memory.offHeap.size = Around 3/4 of the node instance memory (i.e 1-...
- 770 Views
- 3 replies
- 0 kudos
- 0 kudos
Now I understand how it's automatically configured in our cluster along with the rationale behind this off-heap memory approach.However, I have some concerns about this configuration:General applicability: Most jobs don't actually require 70% off-hea...
- 0 kudos
- 585 Views
- 1 replies
- 0 kudos
how to manage a dynamic scheduled job if an INTERNAL_ERROR occurs?
Hi community,My team and I have been occasionally experiencing INTERNAL_ERROR events in Databricks. We have a job that runs on a schedule, but the start times vary. Sometimes, when the job is triggered, the underlying cluster fails to start for some ...
- 585 Views
- 1 replies
- 0 kudos
- 0 kudos
Hi @jeremy98 ,To investigate, check the Jobs UI for failed runs and review both error messages and cluster logs. Monitor failure trends over time and adjust cluster settings or quotas if needed.https://docs.databricks.com/gcp/en/jobs/repair-job-failu...
- 0 kudos
- 1455 Views
- 1 replies
- 1 kudos
Resolved! Notebook not found: Error
Last execution failed Notebook not found: Users/manojdatabricks73@gmail.com/includes/CreateRawData. Notebooks can be specified via a relative path (./Notebook or ../folder/Notebook) or via an absolute path (/Abs/Path/to/Notebook). Make sure you are s...
- 1455 Views
- 1 replies
- 1 kudos
- 1 kudos
Hi @ManojkMohan 1. Verify the exact notebook location in the workspaceIn Databricks, open the Workspace browser.Navigate manually to where you think CreateRawData lives.Right-click on the notebook and select Copy Path — this gives you the exact absol...
- 1 kudos
- 2101 Views
- 2 replies
- 2 kudos
Resolved! Autoloader Checkpoint Issue
I was pulling data from an S3 source using a Databricks Autoloader pipeline. Some files in the source contained bad characters, which caused the Autoloader to fail to load the data. These problematic files have now been removed from the source, but D...
- 2101 Views
- 2 replies
- 2 kudos
- 2 kudos
Hello @databricks_use2 If you are okay this please make this as solution so that this can help others.
- 2 kudos
- 3931 Views
- 4 replies
- 3 kudos
Do you need to be workspace admin to create jobs?
We're using a setup where we use gitlab ci to deploy workflows using a service principal, using the Jobs API (2.1) https://docs.databricks.com/dev-tools/api/latest/jobs.html#operation/JobsCreateWhen we wanted to reduce permissions of the ci to minimu...
- 3931 Views
- 4 replies
- 3 kudos
- 3 kudos
Hi @Geir Iversen​ Thank you for posting your question in our community! We are happy to assist you.To help us provide you with the most accurate information, could you please take a moment to review the responses and select the one that best answers ...
- 3 kudos
- 1331 Views
- 3 replies
- 0 kudos
Spark streaming failing intermittently with FileAlreadyExistsException RocksDB checkpointing
We are encountering an issue in our Spark streaming pipeline when attempting to write checkpoint data to S3. The error we are seeing is as follows:25/08/12 13:35:40 ERROR RocksDBFileManager : Error zipping to s3://xxx-datalake-binary/event-types/chec...
- 1331 Views
- 3 replies
- 0 kudos
- 0 kudos
Hi @susmitsircar Best practices / Fixes1. Clean up the checkpoint directory before restartIf you know the stream can safely start from scratch or reprocess data:Delete the S3 checkpoint path before restarting.This ensures no stale 0.zip files remain....
- 0 kudos
- 2182 Views
- 7 replies
- 3 kudos
Resolved! Spark streaming failing intermittently with llegalStateException: Found no SST files
I'm encountering the following error while trying to upload a RocksDB checkpoint in Databricks:java.lang.IllegalStateException: Found no SST files during uploading RocksDB checkpoint version 498 with 2332 key(s). at com.databricks.sql.streaming.s...
- 2182 Views
- 7 replies
- 3 kudos
- 3 kudos
@mani_22 Do you see any risk of disabling this flag in our pipeline, as we will be bypassing some heuristic checks, as far as i understand, while uploading the state filesspark.databricks.rocksDB.verifyBeforeUpload false
- 3 kudos
- 812 Views
- 1 replies
- 1 kudos
Resolved! Lakeflow Designer, DAB & Git
Hi, i'm trying to understand the process and configuration needed to get the new Lakeflow designer, DAB and Git Folder play together.What i've done:Created an empty Github repository and created a Git Folder for it in DatabricksIn the Git Folder i cr...
- 812 Views
- 1 replies
- 1 kudos
- 1 kudos
Hi @absan ,It’s recommended to create and deploy your DAB templates from within the Git folder, as this ensures the pipeline’s root is set correctly to that folder.
- 1 kudos
- 404 Views
- 1 replies
- 0 kudos
Column access patterns
Hello allFloating this question again separately ((few weeks ago I clubbed this as part of predictive optimization)) -Has anyone cracked to get the list if columns being used in joins & filters, especially in the context that access to end users is g...
- 404 Views
- 1 replies
- 0 kudos
- 0 kudos
Hi @noorbasha534 ,I’m not aware of a direct way to do this, but one approach is to parse each view’s SQL definition to identify the columns used in join and filter conditions, then use lineage tools to trace them through nested views back to the unde...
- 0 kudos
- 1079 Views
- 2 replies
- 0 kudos
Autoloader: Unexpected UnknownFieldException after streaming query termination
I am using Autoloader to ingest source data into Bronze layer Delta tables. The source files are JSON, and I rely on schema inference along with schema evolution (using mode: addNewColumns). To handle errors triggered by schema updates in the stream,...
- 1079 Views
- 2 replies
- 0 kudos
- 0 kudos
Hi @yit ,This is expected behaviour of Auto Loader with schema evolution enabled. Default mode is addNewColumns which causes stream fail. As documentation says:"Auto Loader detects the addition of new columns as it processes your data. When Auto Load...
- 0 kudos
- 518 Views
- 1 replies
- 1 kudos
Resolved! Thoughts on AutoLoader schema inferral into raw table (+data flattening)
I am curious to get the community's thoughts on this. Is it generally preferrable to load raw data based on its inferred columns or not? And is it preferred to keep the raw data in its original structure or to flatten it into a more tabular structure...
- 518 Views
- 1 replies
- 1 kudos
- 1 kudos
Hi @ChristianRRL ,When loading raw data into bronze tables with Auto Loader, it’s usually best to keep the original structure rather than flattening it right away. You can use schema inference for convenience, but to avoid mistakes, add schema hints ...
- 1 kudos
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