Refactor int_topline__student_metrics to use CTEs#3328
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anthonygwalters wants to merge 4 commits intomainfrom
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Refactor int_topline__student_metrics to use CTEs#3328anthonygwalters wants to merge 4 commits intomainfrom
anthonygwalters wants to merge 4 commits intomainfrom
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… avoid repeated scans Five upstream tables were referenced multiple times across separate UNION ALL branches, causing BigQuery to scan each table more than once per model run: - int_topline__iready_diagnostic_weekly (2x) - int_topline__dibels_pm_weekly (2x) - int_topline__college_matriculation_weekly (4x) - int_topline__state_assessments_weekly (3x) - int_extracts__student_enrollments_weeks (3x) Adding named CTEs at the top of the with block for each of these and referencing the CTE alias in the body allows BigQuery to treat each as a single scan. https://claude.ai/code/session_01VwB9BpfUrxTnCVYPa16md9
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Pull Request
Summary & Motivation
When merged, this pull request will refactor
int_topline__student_metrics.sqlto use Common Table Expressions (CTEs) for all referenced source models. This improves code readability and maintainability by centralizing all source model references at the top of the query, making dependencies explicit and reducing repetition throughout the file.The following models are now referenced via CTEs:
int_topline__iready_diagnostic_weeklyint_topline__dibels_pm_weeklyint_topline__college_matriculation_weeklyint_topline__state_assessments_weeklyint_extracts__student_enrollments_weeksSelf-review
General
dbt
[model name].ymlproperties file for all models.SQL
union_dataset_join_clause()macro for queries that employ models that use regional datasetsgroup bywithout any aggregations when you mean to usedistinctdistinctusage must be accompanied by a comment explaining its necessityorder byforselectstatements. That should be done in the reporting layer.Troubleshooting
https://claude.ai/code/session_01VwB9BpfUrxTnCVYPa16md9