You have an MLflow project that fails to access a Hive table and returns a
Table or view not found error.
pyspark.sql.utils.AnalysisException: "Table or view not found: `default`.`tab1`; line 1 pos 21;\n'Aggregate [unresolvedalias(count(1), None)]\n+- 'UnresolvedRelation `default`.`tab1`\n" xxxxx ERROR mlflow.cli: === Run (ID 'xxxxx') failed ===
This happens when the
SparkSession object is created inside the MLflow project without Hive support.