Databricks Certified Data Engineer - Associate
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A data analyst has a series of queries in a SQL program. The data analyst wants this program to run every day. They only want the final query in the program to run on Sundays. They ask for help from the data engineering team to complete this task. Which of the following approaches could be used by the data engineering team to complete this task?
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A
They could submit a feature request with Databricks to add this functionality.
B
They could wrap the queries using PySpark and use Python's control flow system to determine when to run the final query.
C
They could only run the entire program on Sundays.
D
They could automatically restrict access to the source table in the final query so that it is only accessible on Sundays.
E
They could redesign the data model to separate the data used in the final query into a new table.
Explanation:
Explanation
The correct answer is B because:
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Using PySpark with Python's control flow allows for conditional execution of queries based on the day of the week. The data engineering team can wrap the SQL queries in a PySpark script and use Python's datetime module to check if today is Sunday before executing the final query.
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Why other options are incorrect:
- A: Submitting a feature request is not a practical solution for immediate implementation.
- C: Running the entire program only on Sundays contradicts the requirement to run the program daily (with only the final query conditionally executed on Sundays).
- D: Restricting table access based on days is not a standard practice and would affect all users, not just this specific program.
- E: Redesigning the data model is unnecessary and doesn't solve the conditional execution requirement.
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Implementation approach:
from pyspark.sql import SparkSession import datetime spark = SparkSession.builder.appName("ConditionalQuery").getOrCreate() # Run first queries daily spark.sql("SELECT * FROM table1 WHERE ...") spark.sql("SELECT * FROM table2 WHERE ...") # Check if today is Sunday if datetime.datetime.today().weekday() == 6: # Sunday is 6 in Python spark.sql("SELECT * FROM final_table WHERE ...") # Final queryfrom pyspark.sql import SparkSession import datetime spark = SparkSession.builder.appName("ConditionalQuery").getOrCreate() # Run first queries daily spark.sql("SELECT * FROM table1 WHERE ...") spark.sql("SELECT * FROM table2 WHERE ...") # Check if today is Sunday if datetime.datetime.today().weekday() == 6: # Sunday is 6 in Python spark.sql("SELECT * FROM final_table WHERE ...") # Final query
This approach provides the flexibility to run the program daily while conditionally executing the final query only on Sundays.
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