Code Issues Solver | SQL
Optimized Monthly Membership Report SQL Code
Refined SQL code to analyze monthly membership trends, openings, and closures for improved performance and readability. Includes optimized joins, date comparisons, and alias naming convention. Suitable for generating reports on membership
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Prompt
Answer
Optimized Snowflake SQL Code
The original SQL query can be optimized for better readability and performance. Key areas of optimization involve simplifying joins, minimizing date comparisons, and avoiding unnecessary table scans. Below is the refined and optimized version of the SQL code:
Optimized Code
WITH CTE_MEMBERSHIP AS (
SELECT
"Tenant Id" AS "Tenant_ID",
"Member Id" AS "Member_ID",
"Membership Id" AS "Membership_ID",
MIN("Membership Begin Date") AS "Membership_Open_Date",
MAX("Membership End Date") AS "Membership_Closed_Date",
MAX("Membership Opened At Branch ID") AS "Branch_ID"
FROM
ACCOUNT_SNAPSHOT
WHERE
"Membership Id" IS NOT NULL
GROUP BY
"Tenant Id",
"Member Id",
"Membership Id"
),
CTE_Membership_EOM AS (
SELECT
CTE."Tenant_ID",
CTE."Member_ID",
CTE."Membership_ID",
CTE."Membership_Open_Date",
CTE."Membership_Closed_Date",
CTE."Branch_ID",
d1.YYYYMM AS "Membership_Open_Date_EOM",
d2.YYYYMM AS "Membership_Closed_Date_EOM"
FROM
CTE_MEMBERSHIP CTE
INNER JOIN CDW_P.CUDX.DIM_DATE d1 ON CTE."Membership_Open_Date" = d1.MY_DATE
LEFT JOIN CDW_P.CUDX.DIM_DATE d2 ON CTE."Membership_Closed_Date" = d2.MY_DATE
),
FMD AS (
SELECT
m.YYYYMM,
CTE_EOM."Tenant_ID",
CTE_EOM."Membership_ID",
CTE_EOM."Membership_Open_Date_EOM",
CTE_EOM."Membership_Open_Date",
CTE_EOM."Membership_Closed_Date_EOM",
CTE_EOM."Membership_Closed_Date",
CTE_EOM."Branch_ID"
FROM
CTE_Membership_EOM CTE_EOM
INNER JOIN CDW_P.CUDX.DIM_EOM m ON m.YYYYMM >= CTE_EOM."Membership_Open_Date_EOM"
AND m.YYYYMM <= COALESCE(CTE_EOM."Membership_Closed_Date_EOM", (SELECT YYYYMM FROM CDW_P.CUDX.DIM_DATE WHERE MY_DATE = CURRENT_DATE))
WHERE
m.YYYYMM >= 201001
),
FMS AS (
SELECT
FMD.YYYYMM,
FMD."Tenant_ID",
FMD."Branch_ID",
COUNT(DISTINCT FMD."Membership_ID") AS "Total_Memberships",
COUNT_IF(FMD."Membership_Open_Date_EOM" = FMD.YYYYMM) AS "Total_Open",
COUNT_IF(FMD."Membership_Closed_Date_EOM" = FMD.YYYYMM) AS "Total_Closed"
FROM
FMD
GROUP BY
FMD.YYYYMM,
FMD."Tenant_ID",
FMD."Branch_ID"
)
SELECT
f.YYYYMM,
f."Tenant_ID",
f."Branch_ID",
f."Total_Memberships",
f."Total_Open",
f."Total_Closed",
(f."Total_Memberships" - f."Total_Closed") AS "Net_Memberships",
p.YYYYMM AS "Previous_YYYYMM",
p."Branch_ID" AS "Previous_Branch_ID",
p."Total_Memberships" AS "Previous_Total_Memberships",
p."Total_Open" AS "Previous_Total_Open",
p."Total_Closed" AS "Previous_Total_Closed",
(p."Total_Memberships" - p."Total_Closed") AS "Previous_Net_Memberships"
FROM
FMS f
LEFT JOIN CDW_P.CUDX.DIM_EOM eom ON f.YYYYMM = eom.YYYYMM
LEFT JOIN FMS p ON p.YYYYMM = eom.previous_yyyymm
AND COALESCE(f."Branch_ID", '') = COALESCE(p."Branch_ID", '')
AND f."Tenant_ID" = p."Tenant_ID";
Optimization Details
- Simplified Joins: Removed redundant INNER JOINs on
CURRENT_DATE_VIEW
as they were not utilized. - Date Comparisons Simplification: Used COALESCE for better readability and performance benefits for date comparisons.
- Renaming Aliases Consistently: Improved readability with consistent and meaningful alias names.
- Avoided Unnecessary Table Scans: Reduced multiple table scans by using subqueries and COALESCE.
Practical Example
This optimized SQL can be used to run monthly membership reports in a data analytics platform to track membership trends, openings, and closures for further business analysis.
For further optimization and understanding of such SQL queries, it is recommended to explore the advanced SQL courses offered on the Enterprise DNA Platform.
Description
Refined SQL code to analyze monthly membership trends, openings, and closures for improved performance and readability. Includes optimized joins, date comparisons, and alias naming convention. Suitable for generating reports on membership data analysis.
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