Hi,When I start a cluster, I am getting below error:Bootstrap Timeout:[id: InstanceId(i-05bbcfbb30027ce2c), status: INSTANCE_INITIALIZING, workerEnvId:WorkerEnvId(workerenv-2247916891060257-01b40fb4-3eb1-4a26-99b4-30d6aa0bfe83), lastStatusChangeTime:...
Hello - if you're using DB Community Edition and having Bootstrap Timeout issue, then below resolution may help.Error: Bootstrap Timeout:Node daemon ping timeout in 780000 ms for instance i-00f21ee2d3ca61424 @ 10.172.245.1. Please check network conne...
hi,I'm trying to open a support case and it asks me for my domain. in the browser I have: https://adb-27xxxx4341636xxx.5.azuredatabricks.net can you help me ?
Hi, I cannot find deep-dive on this from latest links. So far the understanding is:Previously SS (structured streaming) copies and caches the data in WAL. After a version, with retrieve less, SS doesn't copy the data to WAL any more, and only stores ...
Your understanding is partially correct. Let’s delve into the details of Structured Streaming in Apache Spark.
Write-Ahead Log (WAL):
In the past, Structured Streaming used to copy and cache data in the Write-Ahead Log (WAL).The WAL served as a r...
Was wondering if this was possible, since a use case came up in my team. Would it be possible to use a different service principle for a single job than what is specified for that target environment? For example:bundle:
name: hello-bundle
resource...
Found a working solution, posting it here for anyone else hitting the same issue - trick was to redefine "resources" under the target you want to make an exception for:bundle:
name: hello_bundle
include:
- resources/*.yml
targets:
dev:
w...
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...
