This chapter explores the key enhancements in Oracle 23AI and 23c that streamline partitioning and storage optimization. It introduces improved metadata management using HIGH_VALUE_CLOB and HIGH_VALUE_JSON, replacing the legacy LONG datatype. These features simplify administration, improve scalability, and support efficient refreshes in large, dynamic datasets. The chapter also covers SQL improvements like enhanced DML RETURNING and multirow INSERTs that reduce complexity and boost performance. Practical examples, implementation steps, internal insights, and real-world case studies are provided throughout, with summaries and FAQs to reinforce key takeaways.

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Partitioning and Storage Optimization

  • Asim Chowdhury

摘要

This chapter explores the key enhancements in Oracle 23AI and 23c that streamline partitioning and storage optimization. It introduces improved metadata management using HIGH_VALUE_CLOB and HIGH_VALUE_JSON, replacing the legacy LONG datatype. These features simplify administration, improve scalability, and support efficient refreshes in large, dynamic datasets. The chapter also covers SQL improvements like enhanced DML RETURNING and multirow INSERTs that reduce complexity and boost performance. Practical examples, implementation steps, internal insights, and real-world case studies are provided throughout, with summaries and FAQs to reinforce key takeaways.