Tableau-Desktop-Found Connecting to and Preparing Data — All Questions With Answers

JSON_Policy: { "allow_cross_db": true, "join_type": "physical", "engine": "hyper" }

{
  "source": "SQL Server",
  "field_type": "DateTime",
  "pivot": "Unsupported",
  "error": "Columns in a live connection to this database cannot be pivoted."
}

{"Data_Model": "Logical Layer", "Join_Type": "Relationship", "Fields": [{"Name": "OrderID", "Table": "Sales"}, {"Name": "OrderID", "Table": "Returns"}], "Performance": "Optimized"}

ERROR: Unable to create extract. The data source contains a circular dependency.

ERROR: 'The relationship cannot be created because the types of the joining fields do not match.'

{
  "connection_type": "Live",
  "join_type": "Left Join",
  "table_1": "Sales",
  "table_2": "Targets",
  "filter": "None",
  "result": "Duplicated Sales Records"
}

{
  "field": "Revenue",
  "type": "String",
  "format": "$1,000",
  "error": "Cannot perform sum aggregation on string type."
}

{"error": "Calculation cannot be performed on mixed data types", "field": "Revenue", "current_format": "String", "expected_format": "Number"}

{"error": "Invalid usage of aggregate and non-aggregate fields", "calculation": "[Sales] / [Target]", "target_type": "Dimension"}

Error: 'Join type not supported for this data source. Cross-database joins are not allowed for this connection type.'

Log: 'Metadata extraction failed for table [Orders]. Connection established, but table schema is inaccessible.'