You have a Serverless SQL pool development assigned by your company.
This should follow the best practices and optimized solutions.
Which of the following solutions will help you increase the performance?
Click on the arrows to vote for the correct answer
A. B. C. D.Correct Answers: A, B and C
When Azure Storage account and serverless SQL pool are co-located, the latency of loading will be reduced.
Thus, there will be an increase in total performance.
In situations where these are in different regions, data has to travel more, increasing the latency.
Parquet is columnar formats and compressed and have a smaller size than CSV.
So, the time to read it will be less.
CETAs are parallel operations that create external table metadata and export the result of the SELECT query to a set of files in your storage account.
We can enhance the query performances.
Options A, B and C are correct: These are the best practices followed to improve the performance of the Serverless SQL pool.
Option D is incorrect: Storage throttling detection will slow down the SQL pool, and thus the performance will be decreased.
To know more about Serverless SQL pool development best practices, please refer to the doc below:
Sure, I'd be happy to provide a detailed explanation of the options given and their potential impact on performance for a Serverless SQL pool in Azure.
A. Use the same region for Azure Storage account and Serverless SQL pool: When using a Serverless SQL pool, data is often stored in an Azure Storage account. Using the same region for both the Storage account and the Serverless SQL pool can help increase performance by reducing network latency and improving data transfer speeds. This is because when the Storage account and Serverless SQL pool are in different regions, data needs to be transferred over the network, which can add additional latency and slow down query performance.
B. Convert CSV to Parquet: Parquet is a columnar storage format that is highly optimized for analytics workloads. Converting data from CSV to Parquet can help increase query performance in a Serverless SQL pool by reducing the amount of data that needs to be scanned during a query. This is because Parquet stores data in a highly compressed and optimized format, which can reduce the amount of I/O needed to read data from disk and speed up queries.
C. Use CETAS: CETAS stands for "Create External Table As Select", which is a feature in Azure SQL that allows you to create a new table based on the results of a query. CETAS can help increase performance in a Serverless SQL pool by reducing the amount of data that needs to be scanned during a query. This is because CETAS creates a new table that is optimized for the specific query, which can reduce the amount of I/O needed to read data from disk and speed up queries.
D. Use Azure Storage throttling: Azure Storage throttling is a feature that allows you to limit the amount of data that can be transferred to and from an Azure Storage account. While this can help prevent excessive resource consumption and improve overall system stability, it is not necessarily a performance optimization for a Serverless SQL pool. In fact, limiting the amount of data that can be transferred may actually slow down queries and reduce overall system performance.
In summary, the options that can potentially help increase performance for a Serverless SQL pool are using the same region for Azure Storage account and Serverless SQL pool, converting CSV to Parquet, and using CETAS. Using Azure Storage throttling is not necessarily a performance optimization for a Serverless SQL pool.