Hi,I am exploring Schema inference and Schema evolution using Autoloader.I am reading a single line json file and writing in a delta table which does not exist already (creating it on the fly), using pyspark (below is the code).Code :spark.readStream...
Hi all,I’ve been looking into the Python Data Source API and wanted to get some feedback from others who may be experimenting with it.One of the more common challenges I run into is working with applications that expose APIs but don’t have out-of-the...
Adding on to @edonaire, which are accurate. @beaglerot , your contacts project is the right use case for the pattern you have. Small data, infrequent changes, direct read into bronze. That works. The real question you're asking is what happens when t...
Hi,We are planning to re-write our application ( which was originally running in R) in python. We chose to use Polars as they seems to be faster than pandas. We have functions written in R which we are planning to convert to Python.However in one of ...
Thank you @Louis_Frolio and @pradeep_singh for the detailed explanation. I will discuss your inputs with the team and get back in case we have more question..
Hello Community!writing to you with the question about what are the best way to run spark unit tests in databricks. Currently we have a set of notebooks which are responsible for doing the operations on the data (joins, merging etc.).Of course to do ...
Great suggestions @lingareddy_Alva regarding Databricks Connect v2! @maikel , A few things to layer on top of that. First, the fact that you already have your functions in a separate directory outside of notebooks is exactly the right foundation. T...
Using the Observable API on the source dataframe to a Delta Table merge seems to hang indefinitely.Steps to reproduce:Create one or more pyspark.sql.Observation objects.Use DataFrame.observe on the merge source.Run merge.Accessing Observation.get blo...
Hi @Malthe, You have hit a very specific, known behavioral gap in how Apache Spark and Delta Lake interact. To answer your question directly: Yes, the Observable API is effectively incompatible with Delta Table merges when used directly. Why It ...
We are using databricks to connect to a glue catalog which contains iceberg tables. We are using DBR 17.2 and adding the jars org.apache.iceberg:iceberg-spark-runtime-4.0_2.13:1.10.0org.apache.iceberg:iceberg-aws-bundle:1.10.0the spark config is then...
Hi @stemill , The way of connecting to Iceberg tables managed by Glue catalog that you described is not officially supported. Because spark_catalog is not a generic catalog slot – it’s a special, tightly‑wired session catalog with a lot of assumptio...
I’ve spent the last few years jumping between insurance, healthcare, and retail, and I’ve come to a very painful conclusion that we should never have let humans type their own addresses into a text box. For a pet project, I’m currently looking at a ...
I have never worked on this problem but based on previous posts from other community user i have come to know that fuzzy logic can help finding records that are most likely to be same or similar . Here are some links where this has been discussed i g...
We 're currently working with Databricks AUTO CDC in a data pipeline and have encountered an issue with create_auto_cdc_flow (AUTO CDC) when using SCD Type 2. We are using the following configuration: stored_as_scd_type = 2apply_as_deletes = expr("op...
Operation type DELETE means the record is supposed to disappear. If you were using SCD Type 1, the record would be removed from the silver table. When using SCD Type 2, AUTO CDC only updates the lifecycle metadata columns to make the record inactive;...
Hi everyone,I’m dealing with a scenario combining Delta Live Tables, CDC ingestion, and streaming pipelines, and I’ve hit a challenge that I haven’t seen clearly addressed in the docs.Some Context:Source is an upstream system emitting CDC events (ins...
In practice, the impact of adding a normalization layer is usually small compared to the gains in stability and control.At scale, the key is how you implement that layer. If it is designed to operate incrementally and aligned with your partitioning s...
Hi! I'm looking for any ETL or Transformations Testing Framework for Databricks -need to support automation of the following steps:1) create/store test datasets (mock inputs and a golden copy of the output),2) run ETL (notebook) being tested3) compar...
Hi Rjdudley, tuff for me to understand the readme file and execute the framework. can you post video of how to install and use for any custom data source with customization test cases
Queries that previously worked started failing in SQL Warehouse (Dashboards) without any changes on our side.The query succeeds, but fails to render results with error:"Cannot read properties of undefined (reading 'data')"This happens with:- system.b...
Hi, Just had a look at this and I'm trying to replicate my end, can you confirm what type of compute you're using? And is it the SQL editor that it's failing in? Also what region and cloud you're using? I ran the cost query on serverless and it ran f...
Hi, I'm using create_auto_cdc_flow, scd type 2. In source I have a metadata which tells the origin of the row. This column should not trigger new version row, so it is added to track_history_except_column_list. I don't want to add it to exception col...
@rplazaman This is a well-known limitation of create_auto_cdc_flow / AUTO CDC INTO — and unfortunately there is no native way to achieve exactly what you want within the API's parameters. Here's why, and what you can do about it:The Core ProblemThe t...
Hello,I have a process that uses transformWithStateInPandas on a dataframe that has the content on entire files in on of the columns. Recently, the exception OversizedAllocationException has started happening. I have tried setting these configs in th...
Hi @twbde This is a genuinely tricky problem. Here's the diagnosis and the best available workarounds:Root Cause: useLargeVarTypes Is Not Wired Into transformWithStateInPandasYour instinct is correct. The spark.sql.execution.arrow.useLargeVarTypes co...
What permissions does a Service Principal need to run Databricks jobs that reference notebooks created by a user and stored in Git?Hi everyone,We are exploring the notebooks‑first development approach with Databricks Bundles, and we’ve run into a wor...
Thank you so much Ashwin, this provides a lot of clarity.1. Where to deploy Bundles in the workspaceWe plan to deploy the bundle using a service principal , so the bundle we plan to deploy under /Workspace/<service_principal>1. Create notebooks under...
Hi everyone,I’m trying to write Delta tables to my S3-compatible (non-AWS) endpoint, and it was writing perfectly fine last week with the same setup. Now, without any changes on my end, it’s failing and giving me anUnknownException: (com.amazonaws.se...
Hi @demo-user , Can you share more information about your setup: Cluster type and DBR versionS3-compatible storage implementation (MinIO / something else?) AFAIK this is not supposed to work as Delta client in DBR relies on AWS STS to perform S3 comm...
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