cancel
Showing results for 
Search instead for 
Did you mean: 
Data Engineering
Join discussions on data engineering best practices, architectures, and optimization strategies within the Databricks Community. Exchange insights and solutions with fellow data engineers.
cancel
Showing results for 
Search instead for 
Did you mean: 

Material View to External Delta Table using sink api

nkrom456
New Contributor III

Hi Team,

While executing the below code i am able to create the sink and my data is getting written into delta tables from materialized view.

 

import dlt
@Dlt.table(name = "employee_bronze3")
def create_table():
df = spark.read.table("dev.default.employee")
return df

@Dlt.table(name = "employee_silver3")
def create_table():
df = dlt.read("dev.default.employee_bronze3")
return df


dlt.create_sink(
name = "delta_sink",
format = "delta",
options = {"tableName": "dev.default.employee_test"}
)

@Dlt.append_flow(name = "delta_sink_flow", target="delta_sink")
def delta_sink_flow():
return(
dlt.read_stream("dev.default.employee_silver3")
)

 

But if i already have a materialized view created from different dlt and execute the below statement i am getting the error The sink created is giving error due to the below reason : Cannot stream from Materialized View `dev`.`default`.`employee_silver3`. Streaming from Materialized Views is not supported but why am i not getting the error in the above statement.

 

dlt.create_sink(
name = "delta_sink",
format = "delta",
options = {"tableName": "dev.default.employee_test"}
)

@Dlt.append_flow(name = "delta_sink_flow", target="delta_sink")
def delta_sink_flow():
return(
spark.readStream.table("dev.default.employee_silver3") , I have also tried with spark.read.table("dev.default.employee_silver3")
)

 

Can anyone please let me know why this is happening.

0 REPLIES 0

Join Us as a Local Community Builder!

Passionate about hosting events and connecting people? Help us grow a vibrant local community—sign up today to get started!

Sign Up Now