Hello Everyone!I've been using the Databricks extension in VSCode for a while know and I'm syncing my repository to my Databricks workspace. In the beginning syncing files to my workspace was basically instant. But now it is starting to take a lot of...
I want to control which schema a notebook writes. I want it to depend on the user that runs the notebook.For now, the scope is to suport languages Python and SQL. I have written a Python function, `get_path`, that returns the full path of the destina...
I want to suppress all output of a cell, including text and charts plots, Is it possible to do in Data Bricks. I am able to do the same in other notebook environments, but exactly the same does not work in Databricks. Any insight or even understandab...
Hi @rajeevk ,The one way is to use cell hiding:Databricks notebook interface and controls | Databricks on AWS
I am using azure data bricks. we have a version control system git along with it . How do i get to know if this particular notebook is created or owned by whom ??
Hi @Pawanukey12 ,There is no direct API to get the owner of a notebook using the notebook path in Databricks. However, you can manually check the owner of the notebook by the notebook name. You can manually go to the folder where the notebook is loca...
I have created a notebook for my Delta Live Table pipeline and it runs without errors however if I run the notebook alone in my cluster it, says not allowed and show this error. Does it mean I can only run delta live table in the pipeline and canno...
Hi @ruoyuqian Delta Live Tables (DLT) have specific execution contexts and dependencies that are managed within their pipeline environment. This is why the code runs successfully only when executed within the pipeline, as DLT creates its own job clus...
I want to implement source to target mapping in such a way that source and target columns are auto mapped using intelligent AI mapping resulting in reduction of mapping efforts especially when there are 100+ columns in a table. Metadata information o...
Hello, I have a Databricks environment provisioned by AWS. I would like to know if it is possible to add new roles or change existing roles. In my environment, Admin and User appear. I have the following need: how can I have a group, but the users th...
spark.sql() is suddenly giving an error "Unable to instantiate org.apache.hadoop.hive.metastore.HiveMetaStoreClient" on databricks jobs and python scripts that worked last month. No local changes on my end.What could be the cause of this and what sh...
we have set up the entitlement,but it doest work, i checked the blogs. it also need the set up in cluster policy. but i dont find how to set up in cluster policy. could you give some suggestions?
Hi, have you checked if users are admins inside the workspace? Because this can greatly change the policies and restrictions on the clusters
I have create a dev resource group for databricks which includes "storage account", "access connector" and "databricks workspace". In the storage account I have created a container which is linked to the metastore. This container also contain raw dat...
Hei, for some use cases we have created external volumes in Databricks because they needed to access them outside of Databricks and directly on the storage account, as the files had to interact with other tools.
What is more optimized way of writing delta table in a workflow which is running every hour, "append" or "overwrite"?
There's no "optimized way", as these are two different concepts, and depend on your use case: Overwrite removes existing data, i.e. replaces it with new data, while append adds new data to your existing table.
My task is to sync 300 tables from on prem sql server to delta lake. I will load CDC from Raw. First step is to move CDC data to bronze with autoloader. Then using delta stream get changes from bronze, make simple datatype changes and merge this data...
Hi @alesventus ,You can apply metadata/config driven approch. You can create control table (or json/yaml file) with all information that are required for processing like:- table name- target table- table primary keys- transformation to applyAnd then ...
Hi,i am getting data from event hub and stored in delta table as a row table, i data i received in json , the problem i data i have different schema in each row but i code i use it take first row a json schema i am stuck how to do please any one gui...
Currently my Databricks looks like this: I want to create volume to access external location. Where exactly should I create it? Should a create new schema in "poe" catalog and create a volume inside it or create it in a existing schema? What is the b...
I trying to parse VARIANT data type column, what is the correct sintax to parse sub columns using Pyspark, is it possible?.I'd like to know how to do it this way (I know how to do it using SQL syntax).
As an addition to what @szymon_dybczak already said correctly. It's actually not a workaround, it's designed and documented that way. Make sure that you understand the difference between `:`, and `.`.Regarding PySpark, the API has other variant relat...
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