Logo

dev-resources.site

for different kinds of informations.

Understanding the High Water Mark

Published at
1/12/2025
Categories
codeproject
oop
databasesqlperforman
Author
anh_trntun_4732cf3d299
Categories
3 categories in total
codeproject
open
oop
open
databasesqlperforman
open
Author
22 person written this
anh_trntun_4732cf3d299
open
Understanding the High Water Mark

1. What is the High Water Mark?

Image

The High Water Mark represents the maximum extent to which a resource, such as storage or memory, has been utilized over a certain period. This concept is pivotal in understanding resource limits and performance metrics.

1.1 Concept Overview

The High Water Mark is essentially a marker that tracks the peak level of resource usage. For example, in a database, it could denote the highest amount of space that has been allocated and used. This marker helps in efficiently managing and planning resource allocations.

1.2 Importance in Resource Management

Understanding the High Water Mark helps in:

  • Planning Capacity : By knowing the peak usage, you can plan for future resource needs more accurately.
  • Optimizing Performance : Identifying high usage points can help in tuning performance and preventing bottlenecks.
  • Avoiding Over-Provisioning : Accurate HWM data prevents unnecessary over-allocation of resources.

2. How the High Water Mark Works

To fully appreciate the High Water Mark, it's essential to understand how it is implemented and utilized in various scenarios.

2.1 In Databases

Image

In databases, the High Water Mark is used to monitor the maximum extent of space utilized by database objects. This is particularly relevant for understanding space management and for reclaiming space.

Example:

Consider a database table that grows over time. Initially, the table occupies a small amount of space, but as more data is inserted, it expands. The High Water Mark will show the maximum space the table has ever used.

-- Example SQL query to view space usage
SELECT 
    table_name,
    high_water_mark
FROM 
    database_table_usage;
Enter fullscreen mode Exit fullscreen mode

2.2 In File Systems

For file systems, the High Water Mark can indicate the maximum disk space used by files at any point in time. This helps in monitoring file storage and optimizing disk usage.

Example:

Imagine a file system where several files are written and deleted frequently. The High Water Mark will capture the peak disk space usage at any time.

3. Techniques to Monitor and Utilize the High Water Mark

Proper monitoring and utilization of the High Water Mark involve various techniques and tools.

3.1 Using Monitoring Tools

Several monitoring tools can help in tracking the High Water Mark efficiently. Tools like Nagios, Prometheus, and custom scripts can provide real-time data and historical insights.

3.2 Analyzing Trends

Regularly analyzing HWM data helps in understanding usage trends and preparing for future requirements. This can be done through automated reports and dashboards.

4. Conclusion

The High Water Mark is a fundamental concept in resource management that provides valuable insights into the peak usage of resources. By understanding and applying this concept, you can enhance your resource planning, optimize performance, and avoid unnecessary overhead.

If you have any questions or need further clarification, feel free to leave a comment below!

Read posts more at : Understanding the High Water Mark

codeproject Article's
30 articles in total
Favicon
Default Methods in Java
Favicon
Secrets of Java's String Pool
Favicon
Reasons Why Docker Runs Natively on Linux but Needs Virtualization on Windows
Favicon
Secrets of URIs, URLs, and URNs: Understanding Their Differences and Uses
Favicon
When Should You Use Threads in Java?
Favicon
Secrets of Distributed Locks
Favicon
Understanding the High Water Mark
Favicon
Ways to Speed Up Spring Boot Application Startup Time
Favicon
Mastering Java Generics: A Comprehensive Guide with Code Examples
Favicon
Understanding and Managing Tablespace in MySQL
Favicon
Handling the "Forwarded" Header in Spring Boot Applications
Favicon
Secrets Behind Deleting or Updating Records in PostgreSQL
Favicon
Strategies to Optimize PostgreSQL Performance Using VACUUM
Favicon
Techniques for Storing JSON Documents in PostgreSQL
Favicon
Methods for Storing Boolean Values in MySQL
Favicon
Relational Database Partition with Example
Favicon
Techniques for Leveraging ReBAC: A Comprehensive Guide
Favicon
How Does CAPTCHA Work?
Favicon
Secure User Passwords in a Database
Favicon
Tips to Avoid NullPointerException in Java
Favicon
Methods for Efficient Large File Processing in Spring Boot
Favicon
Master Local Variable Type Inference in Java: A Guide to Using var Effectively
Favicon
Understanding JWE: Structure, Operations, Advantages, Disadvantages, and How to Create One
Favicon
Reasons Why Rainbow Table Attacks Are Dangerous and How Salting Passwords Protects Against Them
Favicon
OSI Model Overview
Favicon
Understanding Runnable and Callable in Java: Examples and Code Demos
Favicon
Methods to Optimize Database Queries Using Query Hints in Spring Data JPA
Favicon
Techniques for Managing Session, Cookie, JWT, and SSO
Favicon
Using CountDownLatch in Java: A Deep Dive with Code Examples and Demos
Favicon
Tips for Saving Redis Memory: Essential Techniques for Efficient Resource Management

Featured ones: