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HomePostgreSQL Performance

PostgreSQL Performance

DBA

How Long-Running Queries Negatively Influence PostgreSQL Execution Plans?

PostgreSQL Performance Tuning: Impact of Long-Running Queries on Execution Plans and Database Performance Objective: This analysis focuses on the impact of long-running queries on PostgreSQL execution plans and overall database performance. It aims to enhance [...]

DBA

Impact of Non-Covering Non-Clustered Indexes on Query Performance in PostgreSQL

Impact of Non-Covering Non-Clustered Indexes on Query Performance in PostgreSQL If a non-clustered index (also known as a secondary index in PostgreSQL) is useful for quickly finding one or more records but does not cover […]

PostgreSQL

Minimizing Performance Impact: Best Practices for PostgreSQL Tracing and Monitoring

When tracing or monitoring tools are enabled in PostgreSQL, it can introduce some overhead and potentially slow down database performance. This is because tracing mechanisms such as logging, detailed monitoring, or execution profiling require additional […]

PostgreSQL Performance

Optimizing PostgreSQL Performance with Execution Plan Caching

PostgreSQL uses a sophisticated query planner and optimizer to determine the most efficient way to execute a query. One of the mechanisms PostgreSQL uses to improve performance is caching execution plans. This process involves reusing […]

PostgreSQL Performance

Optimizing PostgreSQL Performance: Understanding and Managing Linux Page Types for Efficient Disk I/O

Detailed Explanation of Linux Page Types and Their Influence on Disk I/O Performance in PostgreSQL Applications In Linux, memory management involves various types of pages, which are fundamental units of memory used by the operating […]

PostgreSQL Performance

Optimizing Outer Joins with Aggregation in PostgreSQL: Best Practices and Examples

Performing optimal outer joins in PostgreSQL while doing aggregation involves understanding both the logical and performance aspects of SQL queries. Here are some best practices and examples to help you achieve this: Best Practices for […]

PostgreSQL Internals

Implementing a Custom date_bucket() Function in PostgreSQL for Timestamp Bucketing

PostgreSQL date_bucket Function The date_bucket() function in PostgreSQL is a powerful tool for time series analysis. It allows you to group timestamps into fixed-size intervals, often referred to as “buckets.” This grouping is useful for […]

pgvector in PostgreSQL
PostgreSQL Performance

Using eBPF to Troubleshoot Process Contention in PostgreSQL: A Guide to Monitoring Locks, CPU, and I/O Performance

PostgreSQL Performance Troubleshooting Whitepaper – Using eBPF to Troubleshoot Process Contention in PostgreSQL To use eBPF for troubleshooting process contention in PostgreSQL, we focus on understanding how processes interact with each other, particularly in terms […]

PostgreSQL Performance

Understanding Parsing and Binding in PostgreSQL’s Query Processing Pipeline

In PostgreSQL, the process of parsing and binding is a critical part of the SQL query processing that occurs before the optimizer comes into play. This phase ensures that the SQL statements are correctly interpreted, […]

PostgreSQL Performance

Understanding Index Selection Mechanics in PostgreSQL: How the Query Planner Optimizes Performance

In PostgreSQL, the mechanism of index selection is a crucial component of the query planner, which evaluates various possible execution plans to determine the most efficient way to execute a given query. Index selection involves […]

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Contents

×
  • 1. Understanding Indexes in PostgreSQL
  • 2. The Role of the Query Planner
  • 3. Factors Influencing Index Selection
  • 4. How PostgreSQL Chooses Indexes
  • 5. Optimizer Hints and Influence
  • 6. Monitoring and Adjusting Index Usage
→ Index