Dataframe write to SQL Server table containing Always autogenerate column fails. I am using Apache Spark Connector for SQL Server and Azure SQL. When autogenerate field are not included in dataframe, I encountered - "No key found " error If auto-gene...
I'm trying to create a new cluster in Databricks on Azure using databricks-cli.I'm using the following command:databricks clusters create --json '{ "cluster_name": "template2", "spark_version": "4.1.x-scala2.11" }'And getting back this error: Error: ...
I found the right answer here.The correct format to run this command on azure is:databricks clusters create --json '{ "cluster_name": "my-cluster", "spark_version": "4.1.x-scala2.11", "node_type_id": "Standard_DS3_v2", "autoscale" : { "min_workers": ...
It's governed by Azure subscription limits.
In addition to subscription limits, the total capacity of clusters in each workspace is a function of the masks used for the workspace's enclosing Vnet and the pair of subnets associated with each cluster in the workspace. The masks can be changed if...
Best instance types to use Delta in a better way, are there any recommendations?Example: i3.xlarge vs m5.2x large vs D3v2
Depending on your queries, if you're looking for Delta Cache Optimized instances, here's the list per provider:AWS: i3.* (i.e. i3.xlarge)Azure: Ls-types (i.e. L4sv2)GCP: n2-highmem-*
what is the best way to see all the data , I see display shows up to 100000 data only . any way in which I can see all the data or do I need to download or export it in different file
Yes, databricks display only a limited dataframe. It allows you to download the data like a csv, . You can save the dataframe as a table in the databricks database with this:predictions.select("salry", "dept").write.saveAsTable("depsalry")Then you ca...
Are there recommendations and/or examples of leveraging AWS and Azure with Databricks? If so, is there any best practices to follow? Want to ensure we avoid expensive data transfer across clouds
Can I convert my jdbc Dataframe into JSON ? Because when I tried it, it got an error. I'm using a script as Pandas DataFrame function df.to_json()
Hi,I have files hosted on an Azure Data Lake Store which I can connect from Azure Databricks configured as per instructions here.I can read JSON files fine, however, I'm getting the following error when I try to read an Avro file.spark.read.format("c...
Taras's answer is correct. Because spark-avro is based on the RDD APIs, the properties must be set in the hadoopConfiguration options. Please note these docs for configuration using the RDD API: https://docs.azuredatabricks.net/spark/latest/data-sou...
