- 3732 Views
- 6 replies
- 3 kudos
Resolved! Moving existing Delta Live Table to Asset Bundle
Hi!I am creating an Asset Bundle, which also includes my streaming Delta Live Table Pipelines. I want to move these DLT pipelines to the Asset Bundle, without having to run my DLT streaming Pipeline on all historical files (this takes a lot of comput...
- 3732 Views
- 6 replies
- 3 kudos
- 3 kudos
When you change the path to the notebook or the name of the pipeline in your Delta Live Table (DLT) pipeline, it can indeed cause issues. Specifically, changing the path to the notebook or the name of the pipeline can lead to the recreation of the pi...
- 3 kudos
- 1881 Views
- 1 replies
- 2 kudos
Delete Partition Folders
Hello team, as DataBricks moved away from hive-style partitioning, we can see some 2-letter partition folders created. And I have observed that the vacuum doesn't delete these folders (even though they are empty). Is there any way to delete those usi...
- 1881 Views
- 1 replies
- 2 kudos
- 2 kudos
Hello @shadowinc, VACUUM is used to clean up unused and stale data files that are no longer referenced by a Delta table and are older than a specified retention period (default is 7 days). It does not remove empty directories. I think manual cleanup ...
- 2 kudos
- 23139 Views
- 6 replies
- 19 kudos
Resolved! Optimize and Vacuum - which is the best order of operations?
Optimize -> VacuumorVacuum -> Optimize
- 23139 Views
- 6 replies
- 19 kudos
- 19 kudos
What about ReOrg delta table https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/delta-reorg-tableDoes it help or make sense to add Re-org then Optimize - Vacuum every week?Reorganize a Delta Lake table by rewriting files to purge ...
- 19 kudos
- 1414 Views
- 2 replies
- 0 kudos
Running a jar on Databricks shared cluster using Airflow
Hello,I have a requirement to run a jar already installed on a Databricks cluster. It needs to be orchestrated using Apache Airflow. I followed the docs for the operator which can be used to do so https://airflow.apache.org/docs/apache-airflow-provid...
- 1414 Views
- 2 replies
- 0 kudos
- 0 kudos
Hello @ayush19, Here are some suggestions, but would need to check how are the parameters configured. Use an Existing Cluster: Instead of creating a new cluster each time, configure the DatabricksSubmitRunOperator to use an existing cluster. This can...
- 0 kudos
- 1748 Views
- 1 replies
- 0 kudos
Reading two big tables within each forEachBatch processing method
I am reading changes from the cdf with availableOnce=True, processing data from checkpoint to checkpoint. During each batch, I perform transformations, but I also need to read two large tables and one small table. Does Spark read these tables from sc...
- 1748 Views
- 1 replies
- 0 kudos
- 0 kudos
Hi @mjedy7 for cacheing in this scenario You could try to levarage persist() and unpersist() for the big table/ spark dataframe, see here:https://medium.com/@eloutmadiabderrahim/persist-vs-unpersist-in-spark-485694f72452Try to reduce the amount of da...
- 0 kudos
- 1995 Views
- 1 replies
- 0 kudos
Switching to autoloader
I have an S3 bucket that has continuous data being written into it. My script reads these files, parses them and then appends into a delta table. The data backs to 2022 with millions of files which are stored using partitions based on year/month/dayO...
- 1995 Views
- 1 replies
- 0 kudos
- 0 kudos
hi @hk-modi As I understand correctly, You have an existing delta table with tons of data already processed. You want to switch to autoloader, read files, parse them and process data incrementally to that delta table as a sink. The task is to start p...
- 0 kudos
- 3229 Views
- 3 replies
- 1 kudos
Resolved! Rendering Volumes file content programmatically
Hi there!I have some files stored in Volume, and I have a use case that I need to show the file content in a UI. Say I have a REST API that already knows the Volume path to the file, is there any built-in feature from Databricks that i can use to he...
- 3229 Views
- 3 replies
- 1 kudos
- 1 kudos
Hi @lauraxyz, the files API should be helpful, particularly the upload endpoint.
- 1 kudos
- 1275 Views
- 1 replies
- 3 kudos
Cost estimation before query execution similar to google cloud Big Query equivalent of --dry_run
Hi , In databricks do we have a option to estimate cost of query before execution which is similar to Big Query equivalent of --dry_run.Our use case is to estimate cost before execution and get alerted. RegardsNeha
- 1275 Views
- 1 replies
- 3 kudos
- 3 kudos
Hello @NehaR, Currently, Databricks does not have a direct equivalent to BigQuery's --dry_run feature for estimating the cost of a query before execution. However, there are some mechanisms and ongoing projects that aim to provide similar functionali...
- 3 kudos
- 24028 Views
- 15 replies
- 5 kudos
Databricks Lakehouse Fundamentals Badge
I have successfully passed the test after completion of the course with 95%. But I have'nt recieved any badge from your side as promised. I have been provided with a certificate which looks fake by itself. I need to post my credentials on Linkedin wi...
- 24028 Views
- 15 replies
- 5 kudos
- 2077 Views
- 2 replies
- 0 kudos
SAS token issue for long running micro-batches
Hi everyone,I'm having an issue with some of our Databricks workloads. We're processing these workloads using the forEachBatch stream processing method. Whenever we are performing a full reload on some of our datasources, we get the following error. ...
- 2077 Views
- 2 replies
- 0 kudos
- 0 kudos
@deecee Can you please confirm there are no external locations or volumes which can lead to this overlap of locations? what you actually have in "some_catalog.some_schema.some_table" and the "abfss://some-container@somestorageaccount.dfs.core.window...
- 0 kudos
- 1789 Views
- 2 replies
- 0 kudos
FileReadException error when creating materialized view reading two schemas
Hi all. I'm getting an error `com.databricks.sql.io.FileReadException` when attempting to create a materialized view which reads tables from two different schemas in the same catalog. Is this just a limitation in databricks or do I potentially have s...
- 1789 Views
- 2 replies
- 0 kudos
- 0 kudos
Hi @kalebkemp ,The error you're encountering (com.databricks.sql.io.FileReadException) when creating a materialized view that reads from two different schemas in the same catalog might not necessarily be a Databricks limitation. It is more likely rel...
- 0 kudos
- 11421 Views
- 6 replies
- 6 kudos
Azure Synapse vs Databricks
Hi there,I would like to know the difference between Azure Databricks and Azure Synapse, which use case is Databricks appropriate and which use case is Synapse appropriate? What are the differences in their functions? What are the differences in thei...
- 11421 Views
- 6 replies
- 6 kudos
- 6 kudos
share you use case i will suggest you about technology difference and which could be benefical for you. I love Data brick due to many awesome feature that help sql developer to programmer(python/Scala) to solve the use case on DataBricks. but if you ...
- 6 kudos
- 1199 Views
- 1 replies
- 0 kudos
Getting Different results when I am running the Global Templary table (Transform Query)
We are running a logic in an Azure Databricks notebook using Python with Spark. Initially, we read data from ADLS and load it into a global temporary table to perform data quality checks. We then recreate the same temporary table. Afterward, we use t...
- 1199 Views
- 1 replies
- 0 kudos
- 0 kudos
The script is too large to paste in here, so please get in touch with me to to obtain it.
- 0 kudos
- 39018 Views
- 21 replies
- 18 kudos
Resolved! How to limit number of files in each batch in streaming batch processing
Hi,I am running batch job which processes incoming files. I am trying to limit number of files in each batch process so added maxFilesPerTrigger option. But its not working. It processes all incoming files at once.(spark.readStream.format("delta").lo...
- 39018 Views
- 21 replies
- 18 kudos
- 18 kudos
Hi @Sandeep ,Can we usespark.readStream.format("delta").option(""maxBytesPerTrigger", "50G").load(silver_path).writeStream.option("checkpointLocation", gold_checkpoint_path).trigger(availableNow=True).foreachBatch(foreachBatchFunction).start()
- 18 kudos
- 5226 Views
- 5 replies
- 2 kudos
Resolved! Cloud_files function
Hi I'm fairly new to to Databricks and in some examples, blogs,... I see the cloud_files() function being used. But I'm always unable to find any documentation on it? Is there any reason for this? And what is the exact use case for the function? Most...
- 5226 Views
- 5 replies
- 2 kudos
- 2 kudos
Hi @Jefke ,The cloud_files() function in Databricks is part of the Databricks Auto Loader, a tool used for incremental data ingestion from cloud storage like Azure Blob Storage, Amazon S3, or Google Cloud Storage. This function is specifically optimi...
- 2 kudos
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