📖 READER VIEW (Read-Only, Public Access)
Slow Database Queries Impacting Performance
AI Analysis Summary
The application is experiencing significant database retrieval slowdowns, leading to poor user experience with slow page loads and unresponsive operations.
報告された問題
質問
5 questionsWhen did these slowdowns begin? (ID: 4326)
Recently (last few days)
What specific database operations are most affected? (ID: 4327)
Data retrieval (SELECT queries),Complex joins or aggregations
What is the database system being used (e.g., PostgreSQL, MySQL, SQL Server, Oracle)? (ID: 4328)
PostgreSQL
What is the approximate size of the database and the tables involved in the slow operations? (ID: 4329)
Around 50GB, main table 10GB
Are there any recent changes to the application code, database schema, or infrastructure? (ID: 4330)
Yes
Identified Causes
4 原因非効率なデータベースクエリ
90%最適化されていないSQLクエリ、インデックスの欠落、または過剰なデータ取得は、実行時間の長期化とリソース消費の増大につながる可能性があります。
データベースリソース競合
75%データベースサーバーでのCPU、メモリ、またはディスクI/Oの負荷が高いと、データ取得を含むすべての操作がボトルネックになる可能性があります。
ネットワーク遅延
60%アプリケーションサーバーとデータベースサーバー間のネットワーク接続が遅いと、データ取得時間が大幅に増加する可能性があります。
データベースロックの問題
50%長期間実行されるトランザクションやデッドロックは、他のクエリを待機させ、パフォーマンスの低下につながる可能性があります。
Recommended Solutions
8 ソリューションAdd/Optimize Indexes
🤖 AI Analysis
"The user is experiencing slowdowns in data retrieval (SELECT queries) and mentions complex joins/aggregations. Adding or optimizing indexes is a primary method to speed up these types of operations, especially with a database size of 50GB. The recent onset of the problem also suggests that a missing or outdated index due to recent code/schema changes could be a cause."
Analyze Slow Queries
🤖 AI Analysis
"The user explicitly states that 'Data retrieval (SELECT queries)' and 'Complex joins or aggregations' are the most affected operations. Analyzing and optimizing these specific slow queries is a direct approach to resolving the performance issue. The recent changes also make it likely that new or modified queries are performing poorly."
Monitor Server Resources
🤖 AI Analysis
"Significant slowdowns can often be attributed to resource contention on the database server. Given the database size and the nature of the queries, it's plausible that CPU, memory, or disk I/O could be a bottleneck, especially if recent changes have increased the load. This is a general but important diagnostic step."
Identify Locking Queries
🤖 AI Analysis
"Complex joins and aggregations, especially in a large database, can sometimes lead to locking issues if not handled efficiently. Identifying and resolving locking queries can significantly improve performance for concurrent data retrieval operations. The recent changes could have introduced new locking scenarios."
Scale Database Resources
🤖 AI Analysis
"If server resources (as identified in 5104) are consistently maxed out, scaling database resources becomes a necessary step. However, this is a more drastic measure and should be considered after investigating more direct query and indexing optimizations."
Optimize Transaction Management
🤖 AI Analysis
"While not explicitly mentioned, complex joins and aggregations can sometimes be part of longer-running transactions. Optimizing transaction management could indirectly improve data retrieval performance by reducing contention and resource usage. The recent changes might have impacted transaction patterns."
Test Network Performance
🤖 AI Analysis
"Network performance is a potential factor, but the problem description focuses on database retrieval. Unless there's an indication of network issues or the application and database are physically separated, this is less likely to be the primary cause compared to database-specific optimizations."
Optimize Network Configuration
🤖 AI Analysis
"Similar to network performance testing, optimizing network configuration is a lower priority given the problem description. It's more relevant if network latency is suspected, which isn't directly indicated by the user's answers."