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Chris_Konsur
New Contributor III
since ‎09-28-2022
‎02-29-2024

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  • 9 Posts
  • 0 Solutions
  • 1 Kudos given
  • 6 Kudos received

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I configured an autoloader in file notification mode to get files from S3 on AWS.spark.readStream\.format("cloudFiles")\.option("cloudFiles.format", "json")\.option("cloudFiles.inferColumnTypes", "true")\.option("cloudFiles.schemaLocation", "dbfs:/au...
I try to create a table but I get this error: AnalysisException: Cannot create table ('`spark_catalog`.`default`.`citation_all_tenants`'). The associated location ('dbfs:/user/hive/warehouse/citation_all_tenants') is not empty but it's not a Delta t...
When I run the simple test in a notebook, it works fine, but when I run it from the Azure ADO pipeline, it fails with the error.code;def __init__(self):  NutterFixture.__init__(self)  from runtime.nutterfixture import NutterFixture, tagclass uTestsDa...
 I’m configuring the Databricks JobAPIs and I get Error 403 User not authorized.I found out the issue is that I need to apply a rule and set API permissions for AzureDatabricksAzure Portal>Azure Databricks>Azure Databricks Service>Access control (IAM...
We do not want to use schema inference with schema evolution in Autoloader. Instead, we want to apply our schema and use the merge option. Our schema is very complex, with multiple nested following levels. When I apply this schema to Autoloader, it r...
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