Does a delta live table automatically perform increments without needing timestamp columns?

[helius_205]

The code : 

import dlt

from pyspark.sql.functions import col

@dlt.table(

    name="silver_customers",

    comment="Cleaned customers data from bronze"

)

@dlt.expect("valid_email", "email IS NOT NULL")

@dlt.expect("valid_customer_id", "customer_id IS NOT NULL")

def silver_customers():

    return (

        spark.read.table("bronze.demo.customers")

        .dropDuplicates(["customer_id"])

        .select(

            "customer_id",

            "name",

            "email"

        )

    ) and the UI i have  

this table run incrementally?

Can some one confirm this  ?

[Sumit_7 · Accepted solution]

@helius_205 I doubt, do check the execution mode ~ should be triggered. Also it's a normal read instead of readStream. Read Docs for better understanding.