{"product_id":"139992","title":"Oracle SQL Practical Tuning Compass ","description":"\u003ccenter\u003e\u003cdiv style=\"text-align:center\"\u003e\u003cimg src=\"https:\/\/tmgdisk01.cafe24.com\/images\/vs\/4172\/sv\/3jXOZ3O4o2VtiiRGqijONP68gtVR5h.png?v=1765077655\" style=\"max-width:100%;max-height:10px\"\u003e\u003c\/div\u003e\u003c\/center\u003e\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\u003ccenter\u003e\n\n\u003cdiv style=\"width:95%\"\u003e\n\n\u003cdiv style=\"text-align:center;font-size:30px;font-weight:bolder;line-height:1.6em\"\u003e Oracle SQL Practical Tuning Compass \u003c\/div\u003e\n\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\n\u003cdiv style=\"border-bottom:1px;border-bottom-style:dotted;border-color:;padding-bottom:20px\"\u003e\u003ccenter\u003e\u003ctable align=\"center\" width=\"100%\"\u003e\u003ctbody style=\"border:0px\"\u003e\n\n\u003ctr\u003e\u003ctd align=\"center\" style=\"line-height:1.2em;text-align:center;font-size:18px;color:black;font-weight:bold;padding-bottom:20px;\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\n\n\u003ctr\u003e\u003ctd style=\"text-align:center\"\u003e\u003cimg src=\"https:\/\/image.yes24.com\/goods\/149107716\/XL\" style=\"max-width:100%;height:auto\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\n\n\n\u003c\/tbody\u003e\u003c\/table\u003e\u003c\/center\u003e\u003c\/div\u003e\n\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\n\u003cdiv style=\"width:95%;{split_style6}padding-top:20px;padding-bottom:20px\"\u003e\n\n\u003cdiv style=\"text-align:left;font-size:16px;font-weight:bold;padding-bottom:20px\"\u003e Description \u003c\/div\u003e\n\n\u003cdiv style=\"text-align:left;word-break:break-all;font-size:14px;line-height:1.6em;\"\u003e\n\n\u003cdiv\u003e\u003ch5\u003e \u003cb\u003eBook Introduction\u003c\/b\u003e\n\u003c\/h5\u003e\u003c\/div\u003e\n\u003cdiv\u003e\u003cdiv\u003e\u003cdiv\u003e \u003cb\u003eSQL Tuning: The Key to Optimizing Data Performance\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e In today's data environment, speed and efficiency are critical factors in determining business performance.\u003cbr\u003e As applications handling large amounts of data increase and data warehouses and cloud environments expand, SQL tuning is no longer simply a matter of performance optimization; it has become a core technology that determines business competitiveness.\u003cbr\u003e\u003cbr\u003e It's been a long time since I wrote a book on SQL tuning, \"Oracle Practical Tuning Basics\" about 10 years ago.\u003cbr\u003e “Oracle Practical Tuning Basic Solutions” was composed of a total of 12 chapters.\u003cbr\u003e This book has been expanded to a total of 19 chapters and is written based on the 19th century version, which is the most widely used version these days.\u003cbr\u003e\n\u003c\/div\u003e\u003c\/div\u003e\u003c\/div\u003e\n\u003cbr\u003e\u003cdiv\u003e\u003ch5\u003e \u003cb\u003eindex\u003c\/b\u003e\n\u003c\/h5\u003e\u003c\/div\u003e\n\u003cdiv\u003e\n\u003cdiv\u003e \u003cb\u003ePART 01.\u003cbr\u003e Oracle Basic Architecture\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e section 01 Oracle Database Architecture \u003cbr\u003esection 02 Memory Architecture\u003cbr\u003e section 03 Process Architecture\u003cbr\u003e section 04 Oracle Storage Structures\u003cbr\u003e\u003cbr\u003e \u003cb\u003ePART 02.\u003cbr\u003e Fundamentals of Oracle Performance Optimization\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e Section 01 Overview of Oracle SQL Performance Optimization\u003cbr\u003e Section 02 Overview of DB Tuning Core Principles\u003cbr\u003e Section 03 Library Cache Efficiency: Reducing SQL Parsing Load\u003cbr\u003e Section 04 Minimizing Database Calls\u003cbr\u003e Section 05 I\/O Efficiency\u003cbr\u003e\u003cbr\u003e \u003cb\u003ePART 03.\u003cbr\u003e Performance Tuning Tools and Execution Plan Analysis\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e section 01 DBMS_XPLAN.DISPLAY_CURSOR\u003cbr\u003e section 02 DBMS_XPLAN.DISPLAY_AWR\u003cbr\u003e Section 03 SQL_MONITOR\u003cbr\u003e Section 04 Basic Analysis Method of Execution Plan Sequence\u003cbr\u003e Section 05 Analysis of Exceptions to Execution Plan Sequence\u003cbr\u003e\u003cbr\u003e \u003cb\u003ePART 04. INDEX ACCESS PATTERN\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e Section 01 B-Tree INDEX Structure\u003cbr\u003e Section 02 INDEX RANGE SCAN\u003cbr\u003e section 03 INDEX RANGE SCAN DESCENDING\u003cbr\u003e Section 04 INDEX UNIQUE SCAN\u003cbr\u003e section 05 INDEX RANGE SCAN(MIN\/MAX)\u003cbr\u003e Section 06 ROWID ACCESS\u003cbr\u003e Section 07 INDEX Column Processing\u003cbr\u003e Section 08 Clustering Factor\u003cbr\u003e Section 09 FULL TABLE SCAN\u003cbr\u003e Section 10 INDEX ACCESS Conditions, FILTER Conditions, Selectivity\u003cbr\u003e section 11 INDEX SKIP SCAN  \u003cbr\u003esection 12 INDEX INLIST INTERATOR\u003cbr\u003e Section 13 INDEX FULL SCAN\u003cbr\u003e section 14 INDEX FULL SCAN(MIN\/MAX)\u003cbr\u003e section 15 INDEX FAST FULL SCAN\u003cbr\u003e Section 16 INDEX COMBINE\u003cbr\u003e Section 17 INDEX JOIN\u003cbr\u003e Section 18 Comparing the Differences Between INDEX COMBINE and INDEX JOIN\u003cbr\u003e Section 19 INDEX FILTERING EFFECTS\u003cbr\u003e\u003cbr\u003e \u003cb\u003ePART 05. INDEX DESIGN STRATEGY\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e Section 01 Selectivity and Cardinality\u003cbr\u003e section 02 INDEX column input, deletion, and update\u003cbr\u003e Section 03 INDEX Selection Criteria\u003cbr\u003e Section 04 Index design criteria by table type\u003cbr\u003e Section 05 Combined Column INDEX Features and Column Order Determination Criteria\u003cbr\u003e Section 06 INDEX Selection Procedure\u003cbr\u003e Section 07 INDEX Design Example\u003cbr\u003e\u003cbr\u003e \u003cb\u003ePART 06. JOIN\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e section 01 NESTED LOOP JOIN\u003cbr\u003e Section 02 HASH JOIN\u003cbr\u003e Section 03 SORT MERGE JOIN\u003cbr\u003e section 04 JPPD(Join Predicate Push Down)\u003cbr\u003e Section 05 The Impact of JOIN Order on Performance\u003cbr\u003e\u003cbr\u003e \u003cb\u003ePART 07.\u003cbr\u003e Subquery\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e section 01 FILTER subquery\u003cbr\u003e section 02 EARLIER FILTER subquery\u003cbr\u003e section 03 NL SEMI \/ ANTI JOIN\u003cbr\u003e Section 04 Using Correlated Subqueries (FILTER, NL SEMI JOIN)\u003cbr\u003e section 05 HASH SEMI \/ ANTI JOIN \u003cbr\u003esection 06 SORT MERGE SEMI \/ ANTI JOIN\u003cbr\u003e Section 07 Scalar Subqueries\u003cbr\u003e Section 08 Non-correlated subqueries\u003cbr\u003e\u003cbr\u003e \u003cb\u003ePART 08.\u003cbr\u003e Separate execution plans\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e Section 01 Separating execution plans using CONCATNATION\u003cbr\u003e Section 02 Separating execution plans using UNION ALL\u003cbr\u003e\u003cbr\u003e \u003cb\u003ePART 09.\u003cbr\u003e Paging processing\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e Section 01 Partial range processing, full range processing\u003cbr\u003e Section 02 How to Use Standard PAGENATION\u003cbr\u003e Section 03 Using Standard PAGENATION - Existence of Optimal INDEX\u003cbr\u003e Section 04 Using Standard PAGENATION - No Optimal INDEX\u003cbr\u003e Section 05 Using Standard PAGENATION - Processing Order\u003cbr\u003e Section 06 PAGING Processing Application\u003cbr\u003e Section 07 PAGING Processing in Web Bulletin Board Format\u003cbr\u003e\u003cbr\u003e \u003cb\u003ePART 10. PGA TUNING\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e Section 01 SORT ORDER BY\u003cbr\u003e section 02 SORT ORDER BY \u0026amp; SORT ORDER BY STEOPKEY (STOPKEY)\u003cbr\u003e section 03 SORT GROUP BY \u0026amp; HASH GROUP BY\u003cbr\u003e section 04 SORT UNIQUE \u0026amp; HASH UNIQUE\u003cbr\u003e section 05 HASH JOIN, HASH SEMI JOIN \u0026amp; HASH ANTI JOIN\u003cbr\u003e section 06 SORT MERGE JOIN, MERGE SEMI JOIN \u0026amp; MERGE ANTI JOIN\u003cbr\u003e\u003cbr\u003e \u003cb\u003ePART 11.\u003cbr\u003e Analytical functions and execution plans\u003c\/b\u003e\u003cbr\u003e \u003cbr\u003eSection 01 WINDOW SORT\u003cbr\u003e section 02 WINDOW SORT PUSHED RANK\u003cbr\u003e Section 03 WINDOW NOSORT\u003cbr\u003e section 04 WINDOW NOSORT STOPKEY\u003cbr\u003e Section 05 WINDOW BUFFER\u003cbr\u003e Section 06: Deep Dive into Analytical Function Execution Plans\u003cbr\u003e\u003cbr\u003e \u003cb\u003ePART 12.\u003cbr\u003e Repeated access tuning of the same data\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e Section 01 Repeating Access via Subquery OR Inline View - Using Analytical Functions\u003cbr\u003e Section 02 UNION ALL Repeat ACCESS - SQL Integration\u003cbr\u003e Section 03 UNION ALL Repeat ACCESS - Cartesian JOIN\u003cbr\u003e Section 04 UNION ALL Repeat ACCESS - Utilizing the subtotal processing function\u003cbr\u003e Section 05 UNION ALL Repeat ACCESS - WITH Statement Utilization\u003cbr\u003e Section 06 UPDATE Statement Subquery Repeat ACCESS - Utilizing MERGE Statement\u003cbr\u003e section 07 MERGE target table iteration ACCESS\u003cbr\u003e\u003cbr\u003e \u003cb\u003ePART 13.\u003cbr\u003e Other application tuning\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e Section 01 Multiple rows → Group into one row and column\u003cbr\u003e Section 02 Data grouped into one row and column → Split into multiple rows\u003cbr\u003e section 03 Cumulative product between rows\u003cbr\u003e Section 04 Cartesian JOIN Application - Daily, Weekly, and Monthly Status\u003cbr\u003e Section 05 INDEX JOIN Application\u003cbr\u003e section 06 Tuning using OUTLINE information\u003cbr\u003e\u003cbr\u003e \u003cb\u003ePART 14.\u003c\/b\u003e \u003cbr\u003eOptimizer\u003cbr\u003e\u003cbr\u003e Section 01 What is an Optimizer?\u003cbr\u003e section 02 10053 Trace\u003cbr\u003e section 03 Heuristic Query Transformation\u003cbr\u003e\u003cbr\u003e \u003cb\u003ePART 15.\u003cbr\u003e Oracle Transaction and Redo Log Tuning\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e Section 01 Transaction\u003cbr\u003e Section 02 Redo \u0026amp; Undo\u003cbr\u003e Section 03 Data Changes and Redo \u0026amp; Undo\u003cbr\u003e Section 04 Tuning Practice Cases\u003cbr\u003e\u003cbr\u003e \u003cb\u003ePART 16.\u003cbr\u003e Partitioning\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e Section 01 Overview\u003cbr\u003e Section 02 Basic Concepts\u003cbr\u003e Section 03 Partitioning Types\u003cbr\u003e Section 04 Partition Key Strategy\u003cbr\u003e section 05 INDEX of partitioned table\u003cbr\u003e Section 06 Partition Management\u003cbr\u003e Section 07 Partition Pruning\u003cbr\u003e\u003cbr\u003e \u003cb\u003ePART 17.\u003cbr\u003e Oracle Exadata Basic\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e Section 01 Exadata Overview\u003cbr\u003e Section 02 Offloading\u003cbr\u003e Section 03 STORAGE INDEX\u003cbr\u003e section 04 HCC (Hybrid Columner Compression)\u003cbr\u003e Section 05 SMART FLASH CACHE\u003cbr\u003e Section 06 Parallel Processing\u003cbr\u003e Section 07 Considerations for Development on Exadata\u003cbr\u003e\u003cbr\u003e \u003cb\u003ePART 18.\u003cbr\u003e Oracle Performance Analysis Basic Methodology\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e Section 01 Overview of Performance Analysis Methodology\u003cbr\u003e Section 02 Understanding Core Performance Data\u003cbr\u003e Section 03 Performance Analysis Utility\u003cbr\u003e Section 04 Basic Performance Analysis\u003cbr\u003e\u003cbr\u003e \u003cb\u003ePART 19.\u003c\/b\u003e \u003cbr\u003eTuning practice examples\u003cbr\u003e\u003cbr\u003e Section 01 Related Sections - 4. INDEX ACCESS Pattern\u003cbr\u003e Section 02 Related Sections - 4. INDEX ACCESS Pattern\u003cbr\u003e Section 03 Related Sections - 6. JOIN\u003cbr\u003e Section 04 Related Sections - 6. JOIN (JPPD)\u003cbr\u003e Section 05 Related Sections - 7.\u003cbr\u003e Subquery\u003cbr\u003e Section 06 Related Sections - 6. JOIN, 7.\u003cbr\u003e Subquery, 12.\u003cbr\u003e Repeating the same data ACCESS Tuning section 07 Related section - 8.\u003cbr\u003e Separate execution plans\u003cbr\u003e Section 08 Related Sections - 6. JOIN, 8.\u003cbr\u003e Separate execution plans\u003cbr\u003e Section 09 Related Sections - 7.\u003cbr\u003e Subquery, 10. PGA Tuning\u003cbr\u003e Section 10 Related Sections - 6. JOIN, 7.\u003cbr\u003e Subqueries, 10. PGA Tuning\u003cbr\u003e Section 11 Related Sections - 12.\u003cbr\u003e Repeated access tuning of the same data\u003cbr\u003e Section 12 Related Sections - 5. INDEX ACCESS Pattern, 9.\u003cbr\u003e Paging processing\u003cbr\u003e Section 13 Related Sections - 9.\u003cbr\u003e Paging processing, 7.\u003cbr\u003e Subquery\u003cbr\u003e Section 14 Related Sections - 6. JOIN\u003cbr\u003e Section 15 Related Sections - 6. JOIN (JPPD)\u003cbr\u003e Section 16 Related Sections - 7.\u003cbr\u003e Subquery\u003c\/div\u003e\n\u003cdiv\u003e\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cbr\u003e\u003cdiv\u003e\u003ch5\u003e \u003cb\u003ePublisher's Review\u003c\/b\u003e\n\u003c\/h5\u003e\u003c\/div\u003e\n\u003cdiv\u003e  \u003cdiv\u003eEven if you've been developing SQL for several years, the topic of SQL tuning itself isn't easy to approach.\u003cbr\u003e Using the results of my on-the-job tuning, I conducted SQL tuning training and case studies for my development team. I put a lot of thought into how to organize the content and topics to make it accessible. While SQL beginners might find tuning challenging, anyone with two to three years of experience studying and developing SQL will find this book a breeze.\u003cbr\u003e\u003cbr\u003e \u003cb\u003eThe role of tuning experts is crucial even in the AI ​​era.\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e AI can automatically analyze execution plans or attempt tuning and recommend tuning results, but it cannot accurately interpret all situations. \u003cbr\u003eComplex business logic or data models require expert experience and interpretation. AI-based tuning tools (e.g., Oracle SQL Tuning Advisor) can improve performance, but if applied incorrectly, they can also degrade performance. Therefore, expert pre- and post-implementation review and verification are essential.\u003cbr\u003e SQL with complex JOINs and analytic functions is difficult to auto-tune, and high-difficulty SQL still requires expert manual handling.\u003cbr\u003e\u003cbr\u003e\u003cbr\u003e In short, AI is a tool for tuning experts, not a replacement, and it remains the tuning experts who will interpret and be responsible for AI's recommendations.\u003cbr\u003e \u003cbr\u003eDevelopers and tuning experts must validate AI-recommended tuning techniques and design optimal SQL tailored to the business logic. While AI can automate SQL tuning, it cannot automatically determine data partitioning, index design, and optimization strategies for OLTP and OLAP environments. Even in the AI ​​era, tuning experts need to understand data models and design optimal SQL. They must understand the principles of SQL tuning and grow into experts capable of collaborating with automation tools.\u003cbr\u003e\u003cbr\u003e \u003cb\u003eStructure and Features of This Book\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e This book covers essential concepts and practical tuning techniques for SQL performance optimization based on Oracle 19c.\u003cbr\u003e When tuning a lot of SQL, I find that 80% of the most common performance degradations have a narrow pattern. \u003cbr\u003eThis book focuses on how to resolve 80% of the most common performance degradation patterns encountered in practice, while also introducing advanced tuning techniques.\u003cbr\u003e\u003cbr\u003e \u003cb\u003e● Basic principles of SQL tuning\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e Oracle Basic Architecture (Chapter 1)\u003cbr\u003e Principles and Tuning Tools for SQL Performance Optimization (Chapters 2-3)\u003cbr\u003e Understanding how SQL is executed and the primary causes of performance degradation is the first step to tuning.\u003cbr\u003e This chapter covers the basic principles of SQL performance optimization and covers various tuning tools (DBMS_XPLAN_DISPLAY_CURSOR, SQL Monitoring Report, etc.) for analyzing execution plans and measuring performance.\u003cbr\u003e\u003cbr\u003e \u003cb\u003e● SQL execution optimization strategy\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e INDEX (Chapters 4-5)\u003cbr\u003e JOIN (Chapter 6)\u003cbr\u003e Subqueries and Execution Plan Separation (Chapters 7-9)\u003cbr\u003e One of the most important factors in SQL tuning is how you utilize indexes. Performance can vary significantly depending on how you design indexes and optimize join methods, and this article covers strategies for optimizing these aspects. \u003cbr\u003eIt also provides methods to improve SQL performance by detailing subqueries, execution plan splitting, and paging processing optimization techniques.\u003cbr\u003e\u003cbr\u003e \u003cb\u003e● Other SQL tuning techniques\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e PGA Tuning and Execution Plan Analysis (Chapters 10-11)\u003cbr\u003e Data Repeat ACCESS Optimization (Chapter 12)\u003cbr\u003e Understanding Other Application Tuning and Optimizers (Chapters 13-14)\u003cbr\u003e We introduce strategies to reduce unnecessary memory usage during SQL execution and minimize repeated access to the same data.\u003cbr\u003e We also cover the basic principles of optimizers and their application tuning.\u003cbr\u003e\u003cbr\u003e \u003cb\u003eTuning and practical examples in large-scale data environments\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e Oracle Transaction and Redo Log Tuning (Chapter 15)\u003cbr\u003e Partitioning and Exadata Basics (Chapters 16-17)\u003cbr\u003e Oracle Performance Analysis and Practical Cases (Chapters 18-19)\u003cbr\u003e\u003cbr\u003e Partitioning is essential in large data environments.\u003cbr\u003e And Exadata utilization is increasing in large-scale data environments. \u003cbr\u003eIn this regard, we covered partitioning and leveraging Oracle Exadata.\u003cbr\u003e\u003cbr\u003e\u003cbr\u003e And SQL tuning experts don't just do SQL tuning.\u003cbr\u003e When a performance issue occurs in a database, it is responsible for identifying and analyzing the cause of the performance issue across the database.\u003cbr\u003e Accordingly, we also covered the basic methodology of Oracle performance analysis.\u003cbr\u003e Finally, we have structured the course to help you understand how the theory is applied in real-world work through practical examples.\u003cbr\u003e\u003cbr\u003e \u003cb\u003eBecoming a guide and compass for SQL tuning\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e In the age of AI, SQL tuning is assisted, but the role of tuning experts will still be necessary.\u003cbr\u003e Oracle also released 23ai in its latest version, 23, but the essence of tuning remains unchanged.\u003cbr\u003e I hope this book serves as a reliable compass on your journey to SQL performance optimization. Let's begin your journey to becoming a SQL tuning expert today. \u003cbr\u003e\n\n\u003c\/div\u003e\n\u003cdiv\u003e\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\n\n\u003c\/div\u003e\n\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\n\u003cdiv style=\"width:95%;padding-top:20px;padding-bottom:20px\"\u003e\n\n \u003cdiv style=\"text-align:left;font-size:16px;font-weight:bold;padding-bottom:20px\"\u003eGOODS SPECIFICS \u003c\/div\u003e\n\n\u003cdiv style=\"text-align:left;font-size:14px;line-height:1.6em;\"\u003e\n\n\u003cdiv style=\"width:100%;margin-bottom:5px;line-height:1.6em;font-size:14px\"\u003e - \u003cstrong\u003eDate of issue:\u003c\/strong\u003e July 15, 2025\u003c\/div\u003e\n\n\u003cdiv style=\"width:100%;margin-bottom:5px;line-height:1.6em;font-size:14px\"\u003e - \u003cstrong\u003ePage count, weight, size:\u003c\/strong\u003e 872 pages | 1,724g | 190*250*34mm\u003c\/div\u003e\n\n\u003cdiv style=\"width:100%;margin-bottom:5px;line-height:1.6em;font-size:14px\"\u003e - \u003cstrong\u003eISBN13:\u003c\/strong\u003e 9788996384069\u003c\/div\u003e\n\n\u003cdiv style=\"width:100%;margin-bottom:5px;line-height:1.6em;font-size:14px\"\u003e - \u003cstrong\u003eISBN10:\u003c\/strong\u003e 8996384062 \u003c\/div\u003e\n\n\n\u003c\/div\u003e\n\n\n\u003c\/div\u003e\n\n\n\u003c\/div\u003e\n\n\u003ccenter\u003e\n\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\n\u003cspan\u003e\u003c\/span\u003e\n\n\u003c\/center\u003e\n\n\n\u003c\/center\u003e","brand":"LIBRAIRIE COREENNE","offers":[{"title":"Default Title","offer_id":43893392539690,"sku":"139992","price":69.0,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0683\/2750\/5962\/files\/ffeb797b48b7ad93ba76a331ba595156.jpg?v=1765399887","url":"https:\/\/librairie.coreenne.fr\/en\/products\/139992","provider":"LIBRAIRIE COREENNE","version":"1.0","type":"link"}