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Currently, the bigquery_analytics package used in the Addiante project is experiencing performance issues due to the growing size of the metadata table, which is information_schema_jobs. Since its addition to the project on 04/16/2024, the table has accumulated a total of 1,286,869 rows, resulting in a table size of 25.87 GB.
To improve efficiency and performance, I would like to request the inclusion of incremental functionality in the bigquery_analytics package model. Implementing an incremental approach will allow only new or changed data since the last run to be processed, reducing execution time and system load.
Justification:
Performance: The information_schema table is becoming very large, making full processing increasingly slow.
Efficiency: An incremental approach will enable the package to process only recent changes, optimizing resource use and improving response time.
Scalability: Incremental tables will help ensure that the package can handle the continuous data growth without compromising performance.
Additional Information:
Package: bigquery_analytics
Metadata Table: information_schema_jobs
Min data for the Addiante project: 04/16/2024
Number of Rows Accumulated: 1,286,869
Table Size: 25.87 GB
Please let me know if you need more information or if there are any additional details to discuss.
Thank you!
The text was updated successfully, but these errors were encountered:
Description:
Currently, the bigquery_analytics package used in the Addiante project is experiencing performance issues due to the growing size of the metadata table, which is information_schema_jobs. Since its addition to the project on 04/16/2024, the table has accumulated a total of 1,286,869 rows, resulting in a table size of 25.87 GB.
To improve efficiency and performance, I would like to request the inclusion of incremental functionality in the bigquery_analytics package model. Implementing an incremental approach will allow only new or changed data since the last run to be processed, reducing execution time and system load.
Justification:
Performance: The information_schema table is becoming very large, making full processing increasingly slow.
Efficiency: An incremental approach will enable the package to process only recent changes, optimizing resource use and improving response time.
Scalability: Incremental tables will help ensure that the package can handle the continuous data growth without compromising performance.
Additional Information:
Package: bigquery_analytics
Metadata Table: information_schema_jobs
Min data for the Addiante project: 04/16/2024
Number of Rows Accumulated: 1,286,869
Table Size: 25.87 GB
Please let me know if you need more information or if there are any additional details to discuss.
Thank you!
The text was updated successfully, but these errors were encountered: