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# Databricks notebook sourcetable_name="old.things"# Migrated table according to the migration index# COMMAND ----------spark.table(table_name)
# COMMAND ----------table_name="not_migrated.table"# NOT a migrated table according to the migration index
The spark.table(table_name) is reading a migrated table hence we expect a deprecation warning to be given that says to use the migrated table. However, the linter does not yield such a warning because it uses the table_name from the lowest cell.
Expected Behavior
A cell should only include the context from itself cell, the cells above and possible context from %run references
Steps To Reproduce
No response
Cloud
Azure
Operating System
macOS
Version
latest via Databricks CLI
Relevant log output
The text was updated successfully, but these errors were encountered:
Is there an existing issue for this?
Current Behavior
See the following notebook
The
spark.table(table_name)
is reading a migrated table hence we expect a deprecation warning to be given that says to use the migrated table. However, the linter does not yield such a warning because it uses thetable_name
from the lowest cell.Expected Behavior
A cell should only include the context from itself cell, the cells above and possible context from
%run
referencesSteps To Reproduce
No response
Cloud
Azure
Operating System
macOS
Version
latest via Databricks CLI
Relevant log output
The text was updated successfully, but these errors were encountered: