- 1394 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...
- 1394 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
- 1168 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...
- 1168 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
- 2248 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...
- 2248 Views
- 3 replies
- 1 kudos
- 1 kudos
Hi @lauraxyz, the files API should be helpful, particularly the upload endpoint.
- 1 kudos
- 1028 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
- 1028 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
- 21718 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...
- 21718 Views
- 15 replies
- 5 kudos
- 1734 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. ...
- 1734 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
- 1487 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...
- 1487 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
- 9042 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...
- 9042 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
- 970 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...
- 970 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
- 36567 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...
- 36567 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
- 4277 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...
- 4277 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
- 1221 Views
- 1 replies
- 0 kudos
Workflow Fail safe query
I have a large SQL query that includes multiple Common Table Expressions (CTEs) and joins across various tables, totaling approximately 2,500 lines. I want to ensure that if any part of the query or a specific CTE fails—due to a missing table or colu...
- 1221 Views
- 1 replies
- 0 kudos
- 0 kudos
There are few options you can try. Based of the information shared, I am assuming a skeleton for you complicated query as follows: WITH cte_one AS (SELECT *FROM view_one),-- Other CTEs...-- Your main query logicSELECTFROM cte_one-- Joins and other cl...
- 0 kudos
- 9699 Views
- 7 replies
- 5 kudos
Resolved! Migrating data from synapse to databricks
Hello team,I have a requirement of moving all the table from Azure Synapse (dedicated sql pool) to databricks.we have a data coming up from source to azure data lake frequently.we have Azure data factory to load data (data flow does the basic transfo...
- 9699 Views
- 7 replies
- 5 kudos
- 5 kudos
Hi @Krizofe , Just gone through you deatils and thought our similar experience with Azure Synapse to databrick migration. We faced a similar situation and were initially hesitant, One of the my colleague recommanded to use Travinto Technologies acc...
- 5 kudos
- 1996 Views
- 3 replies
- 0 kudos
Databricks Setting Dynamic Local Configuration Properties
It seems that Databricks is somehow setting the properties of local spark configurations for each notebook. Can someone point me to exactly how and where this is being done? I would like to set the scheduler to utilize a certain pool by default, but ...
- 1996 Views
- 3 replies
- 0 kudos
- 0 kudos
You will need to leverage cluster-level Spark configurations or global init scripts. This will allow you to set "spark.scheduler.poo" property automatically for all workloads on the cluster. You can try navigationg to "Compute", select the cluster y...
- 0 kudos
- 3078 Views
- 1 replies
- 0 kudos
cannot import name 'Buffer' from 'typing_extensions' (/databricks/python/lib/python3.10/site-package
I am trying to add messages to an azure service bus from a notebook. But I get error from title. Any suggestions how to solve this?import asynciofrom azure.servicebus.aio import ServiceBusClientfrom azure.servicebus import ServiceBusMessagefrom azure...
- 3078 Views
- 1 replies
- 0 kudos
- 0 kudos
@Sega2 it sounds like the error occurs because the typing_extensions library version in your Databricks environment is outdated and does not include the Buffer class, which is being imported by one of the Azure libraries. Can you first try: %pip inst...
- 0 kudos
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