100% Free Forever
AI-Powered Learning
Industry Expert Content
Certificates & Badges
Learn At Your Own Pace

Page Cache vs Buffer Cache: What Is the Difference?

Page cache vs buffer cache explained — indexing, the historical split, and how Linux 2.4+ unified them into one cache.

mediumQ218 of 234 in Operating Systems Est. time: 6 minsLast updated:
Open Code Lab
218 / 234

Expected Interview Answer

The page cache caches file contents in memory indexed by file and byte offset (used for regular file reads, writes, and mmap()), while the buffer cache historically caches raw disk blocks indexed by device and block number for lower-level, unstructured I/O; on modern Linux the two have been merged so buffers are simply pages managed within the unified page cache.

In older Unix designs, the two caches were genuinely separate: the page cache held file-backed memory pages keyed by (inode, offset), serving read()/write() and mmap() traffic at the virtual-memory level, while the buffer cache held raw disk blocks keyed by (device, block number), serving lower-level filesystem metadata I/O like inode tables and superblocks. This duplication meant the same physical data — say, a file block also cached as part of a memory-mapped page — could exist in RAM twice, wasting memory and risking inconsistency between the two views. Since Linux kernel 2.4, the buffer cache was merged into the page cache: a disk block’s buffer_head structure now just points into a page that lives in the unified page cache, so reading a file’s data via read() and mapping the same file via mmap() reference the exact same physical page instead of two copies. In modern interviews, the key point to make is that block-level buffers still exist as a bookkeeping structure (buffer_head) attached to pages, but the actual caching pool, eviction, and writeback logic is unified under the page cache.

  • Explains the historical duplication problem the merge solved
  • Clarifies why read() and mmap() on the same file share one cached copy today
  • Distinguishes indexing by (inode, offset) versus (device, block number)
  • Common OS interview question that tests kernel evolution knowledge

AI Mentor Explanation

The page cache is like a broadcaster’s shot-by-shot highlight reel indexed by match and minute, while the older buffer cache was like a separate technician’s raw-tape-reel index by camera and timecode — the same footage could exist twice under two different filing systems. Modern broadcast centers merged these into one indexed archive, so pulling up a highlight by match-minute and pulling the raw tape by timecode both point at the exact same stored footage instead of two separate copies sitting in storage.

Step-by-Step Explanation

  1. Step 1

    Historical split

    The page cache indexed file-backed pages by (inode, offset); the buffer cache indexed raw disk blocks by (device, block number).

  2. Step 2

    Duplication problem

    The same physical data could be cached twice — once as a file page, once as a raw block — wasting RAM and risking inconsistency.

  3. Step 3

    Kernel 2.4 unification

    Linux merged the buffer cache into the page cache, so a buffer_head now points into a page owned by the unified cache.

  4. Step 4

    Result today

    read(), write(), and mmap() on the same file all reference one shared cached page, with a single writeback and eviction path.

What Interviewer Expects

  • Correctly distinguishing indexing by (inode, offset) vs (device, block number)
  • Naming the duplication problem the historical split created
  • Knowledge that Linux 2.4+ unified the two into a single page cache
  • Understanding that read()/mmap() on the same file now share one cached copy

Common Mistakes

  • Claiming the two caches are still fully separate on modern Linux
  • Confusing this distinction with CPU hardware cache levels (L1/L2/L3)
  • Not knowing which structure (buffer_head) still exists as bookkeeping post-merge
  • Assuming the merge means block-level metadata caching disappeared entirely

Best Answer (HR Friendly)

Historically, operating systems kept two separate memory caches — one for whole file contents (the page cache) and one for raw disk chunks (the buffer cache) — which meant the same data could sometimes be stored in memory twice. Modern Linux merged them into a single unified cache, so whether you are reading a file normally or memory-mapping it, you are working with the exact same cached copy in RAM, which saves memory and keeps everything consistent.

Code Example

read() and mmap() on the same file share one cached page today
#include <fcntl.h>
#include <sys/mman.h>
#include <unistd.h>

int main(void) {
    int fd = open("shared.dat", O_RDWR);

    char buf[4096];
    read(fd, buf, 4096);
    /* populates a page in the unified page cache */

    void *map = mmap(NULL, 4096, PROT_READ | PROT_WRITE, MAP_SHARED, fd, 0);
    /* maps the SAME cached page -- no separate buffer-cache copy on modern Linux */

    /* writes through map[] and future read() calls both see one consistent copy */

    munmap(map, 4096);
    close(fd);
    return 0;
}

Follow-up Questions

  • What kernel version unified the page cache and buffer cache in Linux?
  • What is a buffer_head and does it still exist today?
  • Why did the old split risk data inconsistency?
  • How does mmap() benefit from the unified page cache?

MCQ Practice

1. Historically, how was the buffer cache indexed?

The buffer cache indexed raw disk blocks by (device, block number), unlike the page cache which indexed by (inode, offset).

2. What problem did the old separate-cache design create?

A file block accessed both via read() and via a raw block reference could be duplicated in two separate caches.

3. What changed in Linux kernel 2.4 regarding these caches?

Since Linux 2.4, buffer_head structures point into pages owned by the unified page cache rather than a separate buffer cache pool.

Flash Cards

How did the page cache index data historically?By (inode, offset) for file-backed pages.

How did the buffer cache index data historically?By (device, block number) for raw disk blocks.

What problem did having both caches separately cause?The same data could be duplicated in memory, wasting RAM and risking inconsistency.

What happened in Linux 2.4 and later?The buffer cache was merged into the page cache into one unified caching layer.

1 / 4
218 / 234

Continue Learning

Frequently Asked Questions

21 categories · pick one to explore

Where can I practice technical interview questions for free in India?
SkillVeris offers a free interview questions section with readiness scoring, so you can practice technical interview questions at no cost from anywhere in India or worldwide. Questions span AI/ML, programming, web development, DevOps, cloud and security. Combine them with Code Lab for hands-on coding practice and the AI Mentor for instant explanations whenever an answer confuses you.
How do I prepare for a coding interview if I am a complete beginner?
Start by learning one language well, then practice small problems daily before attempting interview questions. On SkillVeris you can take a free structured programming course with 24–40 lessons, write code in the in-browser Code Lab across 6 languages, and then move to the interview questions bank with readiness scoring to measure how prepared you actually are.
What is interview readiness scoring and how does it work?
Interview readiness scoring measures how prepared you are for a technical interview based on your performance across practice questions. On SkillVeris, as you answer interview questions, your readiness score updates so you can see weak topics before the real interview. It turns vague confidence into a concrete signal, telling you which areas need more revision and which are already strong.
How long does it take to get interview ready for a developer job?
Most beginners need a few months of consistent practice to feel interview ready, though timelines vary with background and daily study time. A practical route is finishing a structured SkillVeris course, which includes 24–40 lessons, module assessments and a final exam at an 80 percent pass mark, then drilling the free interview questions until your readiness score is consistently strong.
What are the most common technical interview topics for freshers?
Freshers are commonly tested on programming fundamentals, data structures, problem solving, databases, and basics of the role's stack such as web development or cloud. SkillVeris covers these through 37 free courses, a glossary of around 2,000 terms for quick definitions, cheat sheets for revision, and interview questions with readiness scoring so you can practise exactly what interviewers usually ask.
Can I practice coding interview prep without installing anything?
Yes, SkillVeris Code Lab runs entirely in your browser, so you can practice coding interview prep without installing compilers or editors. It supports 6 languages across 15 categories of exercises. Pair Code Lab sessions with the interview questions bank and readiness scoring, and you have a complete free preparation setup that works on any machine with an internet connection.
How do I explain technical concepts clearly in an interview?
Practice explaining each concept through a simple analogy first, then add the technical detail, because interviewers value clarity over jargon. SkillVeris teaches with its Learn Through Hobbies method, explaining concepts through cricket, music, gaming, cooking and eight more domains. Learning a topic through an analogy gives you a ready-made, memorable way to explain it when an interviewer asks.
Are there free mock interview resources for software engineers?
SkillVeris provides free interview questions with readiness scoring, which works like a self-paced mock interview you can repeat any time. You answer real-style technical questions, get scored, and see where you stand. The AI Mentor is available 24/7 to explain any answer at Quick, Detailed or Deep-dive depth, acting like an always-available interviewer who never gets tired.
How should I prepare for an AI or machine learning interview?
Cover ML fundamentals, Python, and modern topics like LLMs and RAG, then practise explaining projects clearly. SkillVeris has free AI/ML courses including Python for AI and ML, Large Language Models and Retrieval-Augmented Generation, each with 24–40 lessons and assessments. After finishing, use the interview questions bank and readiness scoring to confirm you can answer under pressure.
What should I revise the night before a technical interview?
Revise concise summaries rather than learning anything new: core definitions, common patterns, and your own project stories. SkillVeris cheat sheets and study notes are built exactly for this kind of quick revision, and the glossary of around 2,000 terms lets you verify any definition fast. A short readiness-score check on the interview questions bank confirms nothing critical is shaky.
How do I prepare for a DevOps interview with no work experience?
Build demonstrable knowledge through structured learning and hands-on practice, since you cannot point to job experience. SkillVeris offers free DevOps, Docker and Kubernetes related courses within its 37-course catalog and a DevOps Engineer learning path. Complete the courses, earn certificates by passing the final exams, then use the interview questions section to rehearse common DevOps scenarios.
Do certificates help in clearing technical interviews?
Certificates alone do not clear interviews, but they signal structured learning and give interviewers a starting point for questions. SkillVeris awards certificates when you pass a course final exam at 80 percent, after 24–40 lessons and module assessments, so the certificate reflects genuine effort. Pair it with practised interview answers and Code Lab projects to make a stronger impression.
How can I improve my problem solving speed for coding interviews?
Speed comes from repetition on progressively harder problems, not from rushing. Practise daily in SkillVeris Code Lab, which offers in-browser coding in 6 languages across 15 categories, and time yourself on interview questions. Review every mistake with the AI Mentor, which explains solutions 24/7 at Quick, Detailed or Deep-dive depth, so each session genuinely improves your pattern recognition.
What questions are asked in a Python technical interview?
Python interviews typically cover data types, functions, comprehensions, OOP, error handling and libraries relevant to the role, such as ML packages for AI positions. SkillVeris interview questions include Python topics, and its free Python for AI and ML course builds the underlying knowledge across 24–40 lessons. Readiness scoring then shows whether your Python answers are interview grade.
How do I handle interview questions I don't know the answer to?
Say what you do know, reason aloud toward an approach, and be honest about the gap, because interviewers value thinking over bluffing. Reduce how often this happens by broadening fundamentals: SkillVeris study notes, cheat sheets and the roughly 2,000-term glossary fill knowledge gaps quickly, and readiness scoring highlights weak areas before an interviewer ever finds them.
Is there a free way to check my interview readiness before applying for jobs?
Yes, SkillVeris interview questions come with readiness scoring, all completely free, so you can measure preparation before applying. Once your score looks solid, browse the SkillVeris Jobs page, which aggregates live roles across India, UK, USA, Germany and Remote with salary and experience filters, and apply knowing your technical preparation has been objectively tested.
How do I prepare for web developer interview questions?
Focus on JavaScript fundamentals, your framework of choice, HTTP basics, and building things you can discuss. SkillVeris offers free web development courses among its 37-course catalog, plus a Full Stack Java Developer learning path. After the courses, drill the interview questions bank, practise coding tasks in Code Lab, and use readiness scoring to verify you cover typical frontend and backend topics.
Can the AI Mentor help me practice interview answers?
Yes, the SkillVeris AI Mentor answers questions 24/7 and can explain any concept at Quick, Detailed or Deep-dive depth, which makes it useful for rehearsing interview explanations. Ask it to clarify a topic, then try explaining it back in your own words. Combined with the interview questions bank and readiness scoring, it becomes a free, always-available practice partner.
What is the best free platform for technical interview prep in 2026?
SkillVeris is a strong free option because it combines structured learning with dedicated interview preparation in one place. You get 37 free courses, interview questions with readiness scoring, an in-browser Code Lab for hands-on practice, cheat sheets and study notes for revision, and a 24/7 AI Mentor. Everything is free, which matters for learners in India and worldwide.
How do I stay calm and confident during a technical interview?
Confidence comes from evidence of preparation, so build that evidence deliberately. Complete a SkillVeris course, pass its final exam at the 80 percent bar, and watch your readiness score climb on the interview questions bank. Knowing you have explained concepts through analogies, coded in Code Lab, and scored well on practice questions gives you genuine, grounded calm on the day.

What Learners Say

Real journeys from the SkillVeris community — swipe for more.

SkillVeris taught me Python through Cricket. Now I’m building real projects and feeling confident!
Arjun S. · B.Tech Student
The best platform for hobby-based learning. Concepts finally stick.
Priya R. · Data Analyst
I went from zero coding to a portfolio of projects — all by learning through my love for gaming. Landed my first internship!
Kabir M. · CS Undergraduate
Trending Topics50 popular tags — tap to explore
Trending CoursesAll 37 free courses — tap to browse