0 views collected around this technical thread.
This article explains how Java developers can replace thousands of individual UPDATE statements with a single PostgreSQL stored procedure call, covering the motivation, procedure creation, Java invocation, scheduling with shell scripts, performance benchmarks, and common pitfalls.
This article demonstrates how to create a test table, bulk‑insert two million rows via a stored procedure, convert the table to the MEMORY engine, and compare query performance against the original InnoDB table, highlighting speed gains, configuration tweaks, and practical usage considerations.
This article explains how to troubleshoot a slow OceanBase stored procedure by locating its trace_id, analyzing audit logs to identify non‑cached UPDATE statements, revealing that preceding TRUNCATE operations invalidate the plan cache, and finally recommending replacing TRUNCATE with DELETE to restore performance.
This article explains how to design a SaaS system that isolates each subsidiary's data by adding a tenant_id column to a shared MySQL table, converting the table to LIST‑partitioned storage, and enforcing tenant‑level access through stored procedures and a MyBatis interceptor, complete with code examples and testing steps.
This article explains how to locate, trace, and resolve a syntax error that occurs when a stored procedure migrated from Oracle to OceanBase fails, detailing the use of trace IDs, SQL reconstruction, cursor analysis, and the necessary adjustments to primary‑key handling.
This article demonstrates how to convert a single‑tenant MySQL application into a multi‑tenant SaaS solution by adding a tenant_id column, using shared‑database partitioning, creating tenant tables, writing stored procedures for dynamic partition management, and implementing a MyBatis interceptor for hierarchical data permissions.
This article details a practical approach to handling massive billing data by dynamically creating monthly tables in MySQL via stored procedures, integrating them with a SpringBoot‑MyBatis backend, and providing APIs for insertion, serial‑number lookup, and time‑range queries, complete with code examples and operational tips.
This article investigates why Oracle and OceanBase return different results when querying the USER_TAB_COLUMNS view in stored procedures, demonstrates reproducible tests, analyzes system view behavior, and proposes workarounds such as using ALL_TAB_COLUMNS, creating synonyms, intermediate tables, or materialized views to ensure consistent table name retrieval.
This article presents a hands‑on walkthrough of implementing in‑database horizontal partitioning by month for a high‑volume billing table, covering the business background, design decisions, stored‑procedure table creation, dynamic table selection in MyBatis, and query strategies such as serial‑number lookup and date‑range retrieval.
This article presents a practical guide to implementing monthly sharding for high‑volume billing data using MySQL stored procedures, dynamic table creation, and SpringBoot‑MyBatis integration, covering schema design, code examples, and query strategies for inserting, retrieving, and managing partitioned tables.
An in-depth case study describes how to dramatically improve the performance of a massive MES reporting query—reducing execution from over half an hour to seconds—by analyzing inefficient SQL, adding proper indexes, avoiding full table scans, redesigning with stored procedures, temporary tables, and selective use of NOLOCK.
This article explains how to replace shell‑script based lock‑wait monitoring with MySQL Event and Stored Procedure mechanisms, showing step‑by‑step creation of a monitoring database, procedure, scheduled event, and how to interpret the generated lock‑wait log table for troubleshooting.
This article explains how to prevent duplicate order numbers in ERP systems under high concurrency by creating a dedicated table and a MySQL stored procedure that generates, validates, inserts, and returns a uniquely formatted order identifier.
This article explains how MySQL 8.0’s JSON data type enables range‑based traversal of JSON arrays, demonstrates extracting array elements with path expressions, and provides stored‑procedure examples—both a traditional loop version and an optimized version using the new "$[m to n]" syntax.
The article details how a half‑hour SSRS report query on a massive MES database was transformed into a sub‑second operation by analyzing the original SQL, eliminating full table scans, adding proper indexes, using temporary tables and a well‑designed stored procedure, while also discussing common pitfalls and best‑practice tips for high‑performance database querying.
The article describes how a massive MES reporting query that took over half an hour to run was analyzed, re‑engineered with proper indexing, partitioning considerations, and a comprehensive stored‑procedure redesign, resulting in sub‑second response times for both backend analysis and front‑end B/S applications.
This article details how to transform a painfully slow SSRS report that scanned billions of rows into a high‑performance solution by analyzing the original SQL, fixing indexing and partitioning mistakes, and rewriting the logic as a flexible stored procedure that runs in seconds.
This article provides a concise overview of relational database fundamentals, covering key terminology, the structure of SQL statements, essential DDL/DML/TCL/DCL commands, query operators, joins, subqueries, functions, indexing, constraints, transactions, permissions, stored procedures, cursors, and triggers, with practical code examples throughout.
This article explains how DBLE's hint mechanism can be used to specify database routing, classify different hint types, and demonstrate practical operations such as invoking stored procedures and executing custom SQL statements on selected nodes.
This article demonstrates how to use MySQL's stacked diagnostics and a custom stored procedure to automatically capture and log errors from bulk INSERT statements during Oracle‑to‑MySQL migration, enabling quick identification and correction of problematic rows without manual inspection.