Hey, I want to create a Job via the Python SDK with a JobSettings object.import os
import time
from databricks.sdk import WorkspaceClient
from databricks.sdk.service import jobs
from databricks.sdk.service.jobs import JobSettings
w = WorkspaceClien...
I just faced the same problem. The issue is that the when you do JobSettings.as_dict()the settings are parsed to a dict where all the values are also parsed recursively. When you pass the parameters as **params, the create method again tries to parse...
I do:df.write.format("delta").mode("append").partitionBy("timestamp").option("mergeSchema", "true").save(destination)If table doesn't exist, it creates new table with "minReaderVersion":3,"minWriterVersion":7.Yesterday it was creating table with "min...
Hi,I am facing this error when performing write operation in foreach() on a dataframe. The piece of code was working fine for over 3 months but started failing since last week.To give some context, I have a dataframe extract_df which contains 2 colum...
Hi @nihar_ghude,
Instead of using foreach(), consider using foreachBatch(). This method allows you to apply custom logic on the output of each micro-batch, which can help address parallelism issues.Unlike foreach(), which operates on individual rows...
hey i have this error from a while : Cannot resolve "(needed_skill_id = needed_skill_id)" due to data type mismatch: the left and right operands of the binary operator have incompatible types ("STRING" and "ARRAY<STRING>"). SQLSTATE: 42K09;and these ...
Hi @oussValrho, The error message you’re encountering indicates a data type mismatch in your SQL query. Specifically, it states that the left and right operands of the binary operator have incompatible types: a STRING and an ARRAY<STRING>.
Let’s bre...
Hi @Lightyagami, When working with Databricks and dealing with macros, there are a few approaches you can consider to save a workbook without losing the macros:
Export to Excel with Macros Enabled:
You can generate an Excel file directly from PyS...
I created a new workspace on Azure Databricks, and I can't get past this first step in the tutorial: DROP TABLE IF EXISTS diamonds;
CREATE TABLE diamonds USING CSV OPTIONS (path "/databricks-datasets/Rdatasets/data-001/csv/ggplot2/diamonds.csv", hea...
Hi @philipkd, It appears you’ve encountered an issue while creating a table in Azure Databricks using the Unity Catalog.
Let’s address this step by step:
URI Format: The error message indicates that the URI for your CSV file is missing a cloud f...
Hi everyone,We're looking at using the compute pool feature. Now we're mostly relying on all-purpose and job compute. On these two we're using instance profiles to let the clusters access our s3 buckets and more.We don't see anything related to insta...
Hi @alxsbn , Let’s delve into the details of compute pools and instance profiles.
Compute Pools:
Compute pools in Databricks allow you to manage and allocate compute resources efficiently. They provide a way to organize and share compute resource...
GoalWe would like to be in control of schema migrations of delta tables in all dev and production environments, and it must be automatically deployed.I anticipated this to be a common problem with a well-known standard solution. But unfortunately, I ...
Hello, I have a DLT pipeline where I want to calculate the rolling average of a column for the last 24 hours which is updated every hour.I'm using the below code to achieve this: @Dlt.table()
def gold():
df = dlt.read_stream("silver_table")...
Hi @exilon, It seems like you’re trying to calculate a rolling average for a specific time window in your DLT pipeline. Let’s address the issue you’re facing.
The behavior you’re observing is due to the way the window specification is defined. Whe...
Hi all,I'm trying to deploy with databricks asset bundles. When running bundle deploy, the process fails with following error message:failed execution pid=25092 exit_code=1 error="terraform apply: exit status 1\n\nError: failed to read schema for dat...
Hi @dbph , It seems you’re encountering an issue with deploying Databricks Asset Bundles.
Let’s troubleshoot this step by step.
Terraform Provider Issue: The error message indicates a problem with the Terraform provider for Databricks. Specifical...
Hi everyone,I am trying to build the pipeline but when I run it I receive an errorDataPlaneException: Failed to start the DLT service on the cluster. Please check the driver logs for more details or contact Databricks support.This is from the driver ...
Hi @Stellar, The error message you’re encountering indicates an issue with starting the Delta Live Tables (DLT) service on your cluster.
Let’s break it down:
DataPlaneException: This is a generic exception related to data plane operations.Failed ...
Hello,I have the following situation which I would like to fully understand.I have the delta table that consists of 10k active parquet files. Everyday I run merge operation based on new deliveries and joining by product_id key attribute. I checked me...
Hi @dasiekr , Please refer to the below content that might help you -MERGE: Under the hoodDelta Lake completes a MERGE in two steps.Perform an inner join between the target table and source table to select all files that have matches.Perform an outer...
Hi,I want to export notebook in python programming.is there a way to leverage databricks cli in python.Or any other way to export the notebook to my local PC.
Hi @Avinash_Narala, Let’s break down the steps for exporting a Databricks Notebook and explore options for leveraging the Databricks CLI in Python.
Exporting a Databricks Notebook:
Databricks allows you to import and export notebooks in various f...
I have a data bricks workspace and an Azure data lake storage account.Both are present in the same Vnet.Unity catalog is enabled in the worksapce.I have created some tables in unity catalog.I am able to query the data from the tables when I use the a...
Hi @NarenderKumar, Configuring an ETL framework using Delta Live Tables (DLT) can be powerful, especially when you want to maintain flexibility and avoid hardcoding configurations directly in your notebook.
Let’s explore some options for managing yo...
