Module 'dlt' has no attribute 'table' - databricks and delta live tables

It is a decorator, so I think you also need a function after. Meaning

@dlt.table(comment="your comment")
def get_bronze():
    df=spark.sql("""select * from myDb.MyRegisterdTable""")
    #If you wanna check logs:
    #print("bronze",df.take(5),"end")
    return df

In silver function then you can read it as:

@dlt.table
def get_silver():
    df = dlt.read("get_bronze")
    [..do_stuff...]
    return df

Also from your screenshots I am not sure, are you running all this as a pipeline or are you trying to run a Notebook? The latter does not work.

Sandro’s answer should solve your problem. For ingesting json files with live tables, you can check this article for some use cases https://medium.com/@chaobioz/create-delta-live-tables-dlt-dynamically-with-pyspark-e06a718199c8

Also if for production, better use auto loader as well.

Could you try to install dlt before importing it?

%pip install dlt

1. Create a Notebook with the scripts
2. Create a Pipeline (With your Required configs).
3. Start the Pipeline directly, don't run the notebook Delta Tables will be created directly.

You can check this process mentioned in the documentation itself. https://docs.databricks.com/workflows/delta-live-tables/delta-live-tables-quickstart.html

Read the steps just above the requirement, I guess that would help.