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Transforming row-oriented query results into a cross-tabular layout often makes data analysis more intuitive. Oracle’s PIVOT operator provides a concise way to acheive this, while ADD_MONTHS simplifies month‑based date calculations. PIVOT: Row‑to‑Column Transformation Consider a portfolio table that stores investment holdings: SELECT account_id ...

JSON Structural Transformation: Key and Value Swapping Between Objects A common requirement when integrating systems is to reshape JSON payloads—renaming keys, copying values, or populating fields with dynamic data such as timestamps. A mapping‑based approach can handle these transformations declaratively. This article demonstrates how to swap ...

Row to Column Conversion Problem Analysis Given the following employee data: 1,PK,RD,1 2,XIAOAI,RD,1 3,XIAOHONG,RD,2 4,XIAOZHANG,QA,1 5,XIAOLI,QA,2 6,XIAOFANG,QA,2 Group by department and gender to get: QA,1 XIAOZHANG QA,2 XIAOLI|XIAOFANG RD,1 PK|XIAOAI RD,2 XIAOHONG Required Functions concat: String concatenation concat_ws: Stri ...

LINQ (Language Integrated Query) provides a unified model for querying data across diverse sources. It integrates directly into C# without introducing a separate language. LINQ can be categorized functionally into LINQ to Objects for in-memory collections and LINQ to Providers for custom data sources like XML or JSON. Syntactically, it offers S ...

Processing MongoDB JSON Data with Custom UDTF When working with nested JSON structures from MongoDB in DataWorks, a User-Defined Table Function (UDTF) can transform complex hierarchical data into flatttened relational format. Consider this JSON structure containing premise and point details: { "id": 0, "premiseDetails": ...