Delta Live Table Graph different with no change in Notebook code

[Manjula_Ganesap]

I have a DLT code to create 40+ bronze tables. The tables are created on top of the latest parquet files for each of those tables. 

While executing the pipeline, sometimes I notice that the graph is different than the regular one i see. I do not understand why that happens. 

Graph i expect to see:

Graph i see sometimes:

As you can see from the screenshots - only 2 tables were created in the second run while all 40+ tables were created in the first run. The underlying parquet files were the same in both cases. 

[Manjula_Ganesap]

@Retired_mod  - Thank you for your response. There is no change in the table dependencies. 

The code to create the individual raw tables look like this: The input to this is always the same 40 tables with only the underlying parquet file changing. I cant understand why it creates 40 tables in the first run and then only 2 tables in the second run.

def CreateTable(tableSchema,tableName, tableFilePath):

  schemaTableName = 'test_dlt_'+tableName.lower()

  @dlt.table(

    name= schemaTableName,

    comment="Raw data capture for " + tableName,

    table_properties={

      "quality": "bronze",

      "pipelines.autoOptimize.managed": "true"

    }

   )

  def create_live_table():

    return (

     (spark.read.format("parquet").load(tableFilePath))

    )