Explore PostgreSQL internals through an interactive 3D city visualization
Explorable 3D city that visualizes how PostgreSQL internals actually work, walkable in the browser.
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Why it matters
Engineers hire this asset to understand how PostgreSQL actually works under the hood-from checkpoint latency spikes to transaction bloat and synchronous_commit behavior-through an explorable 3D city where database processes, memory structures, and storage layers are represented as buildings and districts they can inspect and interact with.
Outcomes
What it gets done
Visualize how backends, shared buffers, WAL, and storage interact during query execution
Trace statements from client connection through parsing, planning, caching, and commit phases
Understand checkpoint storms, cache thrashing, and long-running transaction bloat scenarios
Learn replication lag mechanics by watching WAL flow from sender to standby replay
Source
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Overview
PGSimCity
PGSimCity is an explorable 3D city that models PostgreSQL internals - buffer pool, WAL, checkpoints, vacuum, replication - so engineers can build intuition by walking through and breaking scenarios instead of reading documentation cold. Use it to teach or learn PostgreSQL internals visually through guided tours and failure scenarios, not as a substitute for testing against a real PostgreSQL instance.
The workflow you build
PGSimCity turns a PostgreSQL cluster into a 3D city you can inspect, walk through, and break, aimed at engineers who are good at their job but have never had to operate a database - the people who need to understand why a checkpoint spikes latency, why one forgotten transaction bloats a table forever, and what synchronous_commit really costs. Each district maps to a real PostgreSQL subsystem: the Postmaster forks one backend per connection; a backend row of 16 processes shows connection state (including idle in transaction) through lighting; the buffer pool renders a representative sample of 1,024 shared_buffers frames alongside wal_buffers, the ProcArray, lock table, and CLOG; storage below shows heap files as fields of 8 KiB pages and B-trees as actual trees; the WAL district traces walwriter through pg_wal segments to the archiver and walsender; and a maintenance yard covers the checkpointer, background writer, and autovacuum. A Query lab lets you select a backend and watch its statement unfold through parse, rewrite, plan, and execute. Colour is semantic throughout: WAL is amber, dirty pages red, clean pages blue, vacuum violet, checkpoints pink, replication orange.
When to use this bundle - and when NOT to
Use it to build intuition for PostgreSQL's internals through guided scenarios rather than reading source code cold: a 14-chapter guided tour follows one connection from the client through planning, caching, WAL, checkpoints, vacuum, and replication; a Cache thrash scenario sets shared_buffers to 16 MiB to show the clock sweep racing under pressure; a Long-running transaction scenario shows the xmin horizon blocking autovacuum from reclaiming rows; a Checkpoint storm scenario shows full-page writes flooding the WAL district. It is a model of PostgreSQL, not an emulator - no PostgreSQL source code runs in it, and the project is still 0.x, early and moving, with independently-reviewed but not infallible PostgreSQL correctness. It is not a substitute for a real PostgreSQL instance when you need to validate an actual production configuration; treat it as a teaching tool, not a benchmarking or testing environment.
How to get started
Explore the live city directly in the browser with no install required. To run it locally, you need Node.js 20 or newer and a browser with WebGL2:
npm install
npm run dev # http://localhost:5173
Press T for the guided tour, Enter to trace a statement, ? for the full keyboard map and colour legend, and G to walk the city at eye level. The stack is three.js r185, TypeScript, and Vite, with no application server - the result is a static bundle, and a separate Query flow can optionally load PGlite after an explicit click to run an in-memory PostgreSQL in the browser. It is licensed under Apache-2.0.
Who it's for
Engineers, backend developers, and DBAs-in-training who need a concrete, visual mental model of PostgreSQL internals - buffers, WAL, checkpoints, vacuum, replication - before or instead of learning them purely from documentation and incident postmortems.
Source README
PGSimCity
Walk through PostgreSQL. Break things. Understand why.
An explorable 3D city where buildings represent PostgreSQL internals and motion
shows their interaction. Follow a query, investigate a growing table, or see
what changes when memory, checkpoints and replication become bottlenecks.
Explore the city ·
Start an investigation
No installation. Runs in a browser with WebGL2.
Featured in InfoQ · IBM Think · Gizmodo · GIGAZINE
Start here: investigate a vacuum blockade
A table keeps growing even though autovacuum is running. Why?
- Open the city and choose Investigate.
This starts the guided vacuum-blockade case. - Inspect and record the table, worker, snapshot and application-owner evidence.
Explain what prevents cleanup before choosing an intervention. - End the transaction that the case establishes as abandoned, then check whether
vacuum actually reclaims row versions. Releasing a snapshot is not itself cleanup. - Choose Inspect a page and its row versions to connect the investigation
to the page layout, tuple header and snapshot diagrams.
Pause when you need time to read. Try challenge mode afterward for less guidance.
Evidence and notes belong to the current attempt; they do not survive a reload.
Choose your view
| Experience | What you can do |
|---|---|
| City | Explore the engine spatially, follow the guided tour and investigate a vacuum incident. |
| Diagnose | Follow a query’s path and inspect the simulation through a 2D diagnostic interface. |
| Machine | Run real SQL with opt-in PGlite beside a 2D architecture board; measured and modeled values are labeled separately. |
How much to trust this
The city is a model, not a running PostgreSQL server. Its numbers and timing
are scaled to make internals observable. The separate Machine and opt-in Query
flow can execute real PostgreSQL through PGlite; they do not turn the city into
a production monitor.
The project is an evolving 0.x prototype, with known simplifications and tests
against PostgreSQL behavior. See model accuracy and limitations
for the reviewed reference version, formulas and review history.
PGSimCity targets the PostgreSQL 18 major line, with PostgreSQL 18.6 as its
reviewed reference and REL_18_STABLE
as the source branch. Four review rounds are documented in the accuracy notes;
they do not establish complete coverage or make this model an emulator.
Report a PostgreSQL mismatch.
Lessons include keyboard and text-first routes; the 3D scene and first-person
walk do not have a nonvisual equivalent. Touch verification has used browser
emulation, not physical devices. Accessibility and alternatives.
Press coverage
Featured in InfoQ, IBM Think, Gizmodo and GIGAZINE.
Selected reporting and hands-on reviews of PGSimCity:
| Publication | Article | Published |
|---|---|---|
| InfoQ | How PGSimCity Turns PostgreSQL Complexity into a Virtual City 3D Simulation - Olimpiu Pop on the project’s architecture and educational approach. Also available in 简体中文, translated by 田橙. | August 16, 2026 |
| IBM Think | Someone turned PostgreSQL into a city you can walk around in - Antonia Davison’s feature, also included in the IBM Think newsletter. | July 31, 2026 |
| Gizmodo | This SimCity-Like Visualization Turns Tech’s Most Boring Systems Into Fun - Tom Hawking’s hands-on review. | July 28, 2026 |
| GIGAZINE | データベース「PostgreSQL」がどのように実際には内部で動いているかがシムシティっぽい3Dでわかる「PGSimCity」 - a screenshot-led Japanese walkthrough of connections, query planning, buffers, page storage, WAL, vacuum and replication. English edition. | July 28, 2026 |
Further reading
- Clement Mondary · Français: PGSIMCITY : comprendre PostgreSQL en visitant une ville en 3D - an introduction to the city’s visual language, interactive scenarios and distinction between the simulation and PGlite.
Articles describe the version available when published.
What you are looking at
| District | What it is |
|---|---|
| Client sky (north, above) | Connections arriving from the application tier |
| Postmaster | The supervisor. Forks one backend per connection and never touches your data |
| Backend row | 16 backend processes. Their lighting is their state - including idle in transaction |
Buffer pool (shared_buffers) |
Up to 1,024 representative frames (256 active at the 2 GiB model default; PostgreSQL 18 defaults to 128 MiB), beside wal_buffers, the ProcArray, lock table, CLOG and buffer mapping table |
| The excavation | The data directory: where memory ends and storage begins |
| Storage (below) | Heap files as fields of 8 KiB pages, B-trees as actual trees, TOAST, the FSM and visibility map, the OS page cache and the disks |
| WAL district (east) | Backends and walwriter write WAL into pg_wal; the archiver copies completed segments, while walsenders independently stream WAL as it is generated |
| Maintenance yard (west) | Checkpointer, background writer, autovacuum launcher and its workers |
| Standbys (south) | Two independent walreceivers, startup processes replaying WAL, and the lag on each stream |
| Continuity quarter (outer east and south) | WAL archive, base backups, point-in-time recovery, delayed replay, leader lease and rejoin machinery |
| Query lab (above the backends) | Select a backend and its statement unfolds: parse → rewrite → plan → execute |
PostgreSQL 18's bulk-read strategy grows with
io_combine_limit × effective_io_concurrency,
subject to caps. This city's animation uses a fixed 32-frame ring instead;
it is a historical simplification, not PostgreSQL 18's sizing rule.
Model accuracy and source reference.
Colour is semantic everywhere and never decorative: WAL is amber, dirty
pages are red, clean pages are blue, vacuum is violet, checkpoints
are pink, the background writer is teal, replication is orange,
storage is green, indexes are aqua, locks are red.
More things to try
- Press
Tfor the 14-chapter guided tour. It follows one connection from
the client through planning, caching, WAL, checkpoints, vacuum and replication. - Press
Enterto trace one statement. Pick Non-HOT UPDATE and slow
playback exposes where it enters the buffer pool, creates WAL and waits to
commit. - Run Cache thrash from the Scenarios menu. It sets
shared_buffersto
16 MiB - below the manual control's 128 MiB minimum - so the clock sweep races
and backends write their own dirty victims before they can read another page. - Run The work_mem cliff. Its fixed Sort and HashAggregate nodes spill at
2 MiB, then fit at 4 MiB without replanning; the private reservoirs,base/pgsql_tmp, temp counters and latency breakdown show the consequence. - Turn on Long-running transaction. The xmin horizon blade sinks and goes
red; autovacuum still travels to the tables, but reports zero removable rows
while thesessionstable keeps bloating. Release the transaction and cleanup
can begin again. - Run Checkpoint storm. Watch the checkpointer's flywheel spin up, the fsync
phase shudder, and a wall of full-page writes flood the WAL district after
each checkpoint begins. - Set
synchronous_committooffand watch backends stop waiting incommit_wait. Then read what you just traded away. - Turn on Slow replay and watch
sent_lsn,write_lsn,flush_lsnandreplay_lsnpull apart on the standby. - Press
Gand walk through the city at eye level. A buffer frame that read
as one tile from the establishing shot becomes a structure above your head.
PressEat the autovacuum lever or the postmaster door to operate it;
the control center inside can trace one of six statements across a map of the city. - Try an operator scenario, wait for its decision, and choose a response. Slot
pressure, failover, and recovery make the consequence visible and offer a safe reset.
Controls
Start with drag to pan, wheel/pinch to zoom, T for the tour,
K to pause and H to return to the overview.
All camera controls and keyboard shortcuts
Press ? in the city for the city control map and colour legend.
Camera
| Input | Action |
|---|---|
| Left-drag | Pan in orbit mode - grab the ground and move it, the way a map does |
Shift-left-drag or Ctrl/Cmd-left-drag |
Orbit around the city |
| Middle-drag | Pan in orbit mode |
| Right-click or touch long-press | Open the context menu |
| Wheel | Zoom towards the cursor in orbit mode · adjust movement speed in fly mode |
| 1 finger | Pan in orbit mode |
| 2 fingers | Pinch to zoom · twist to orbit · drag both up/down to tilt |
| First-person touch | Left thumb moves · right thumb looks · buttons jump and crouch (rise and dive while swimming) |
| Click | Select a building · in fly or walk mode, capture the mouse for looking |
| Double-click | Focus a component - semantic focus instead of a map-style zoom step |
W A S D or the arrow keys |
Move |
Shift + left/right arrow |
Turn left/right in orbit, fly, or walk mode |
Shift + up/down arrow |
Tilt or look up/down in orbit, fly, or walk mode |
+ / - |
Zoom in/out in orbit mode |
Space or E · C or Q |
Rise · descend in fly mode; in walk mode, Space jumps, E operates nearby levers, doors, or consoles, and C crouches |
PageUp / PageDown |
Change altitude in orbit or fly mode |
Shift · Alt |
Boost · precision in orbit or fly mode; Shift runs in walk mode |
Esc |
Leave pointer lock |
Keys
| Key | Action |
|---|---|
F |
Toggle fly / orbit camera |
G |
Get down and walk the city on foot, 1.7 m tall |
H |
Back to the establishing shot |
Home |
Back to the default establishing shot |
O |
Straight-down overview of the whole plate |
T |
Guided tour - the core query and maintenance path in 14 chapters |
Enter |
Open Run a Query |
/ or Ctrl/Cmd+K |
Command palette - search every component, setting and scenario |
? |
Keyboard map and colour legend |
L |
Toggle the floating labels |
N |
Cycle night / afternoon daylight / approximate local-time light |
M |
Toggle walk sound |
K or P |
Pause / resume |
Focus +0.1 model s, then Enter |
Advance the paused workload by 0.1 model seconds; remain paused |
, . |
Slower / faster (0.1× - 5×) |
R |
Reset to the default settings |
Esc |
Close the topmost overlay |
1 - 8 |
Jump to a district: clients, backends, buffer pool, WAL, storage, query lab, maintenance, standby |
WAL operations campaign
Choose Campaign, or open the required-standby case and the retired-consumer challenge.
Opening preserves the city; Reset city and start explicitly creates a fresh
case and clears replay history. Record ownership and live pressure, intervene,
then observe and verify recovery. Explain why the same slot operation has a
different trade-off when the consumer must return versus when it is retired.
Observation advances at most 300 model seconds per request and can be stopped.
Slot removal releases one retention requirement; physical WAL reclamation waits
for checkpoint completion and other retainers. Completion records an observed
model result, not a graded explanation or measured learning gain. Only bounded
case-completion identifiers persist locally; notes/evidence stay in this attempt
and are discarded when switching cases. Clear local completion history
removes that record. Storage failure leaves session-only progress usable.
Replay and compare an incident
Choose Replay, then Save checkpoint before an intervention. Observe an
outcome, Rewind to checkpoint, change a model control or operator decision,
and Run alternative to same duration. The comparison preserves the seeded
prefix and labels counters, current gauges and model-time latency explicitly.
Rewind reconstructs the model; saved investigation evidence and Diagnose’s
previous-step button are navigation, not rewind.
The linked Console and Back to city controls transfer the current model
incident in the same tab, including selection and diagnostic trail. Diagnostic
sampling windows restart on arrival; PGlite remains a separate opt-in database.
Export a comparison before switching views: saved replay checkpoints, comparison
baselines and investigation notes do not transfer.
Browser reload/Back is not linked navigation and can reject an expired or
already-consumed transfer. Use the explicit new-city link to discard it.
Replay records are local, bounded and exact-build-specific; copying a record
is not a URL share, and does not include lesson answers or PGlite data.
Export a presentation image
Choose Export image in the city toolbar. The model pauses until you return
to the city. PNG export keeps the current camera and graphics quality; visible
object names are optional, but the model disclosure, version, and model clock
always remain in the image footer. After a replay comparison, include the
comparison explanation to retain the seed/checkpoint, recorded interventions,
original and alternative durations, and qualified outcomes. Unequal durations
are marked as not a controlled comparison. Long action lists are summarized
with an explicit omitted count.
The default 2× option caps the scene at 4 megapixels. An explicit 4K scene option
fits the camera aspect within 3840 × 2160 (rotated for a portrait view), subject
to GPU limits. The disclosure footer adds height. Large captures can exhaust GPU
memory; try 1× if an export fails. A prepared-image link remains available if
the browser blocks the automatic download.
How it is built
src/
core/ shared contracts, event bus, registry, themes and utilities
sim/ the PostgreSQL simulation
world/ the city geometry, one module per district
engine/ renderer, camera, flows, labels, picking, collision and audio
ui/ controls, inspector, tour, search and written explanations
observability/ a separate diagnostic interface over the same simulation
machine/ a separate psql workbench and 2D architecture board
Three rules hold it together:
world/layout.tsis the single source of truth for geography. Anchors,
table definitions and the route network live there. No district hard-codes a
coordinate another district needs.- The simulation never imports three.js, and the world never mutates the
simulation. They meet atSimState. - Rendering carries meaning differently by theme. At night structure is
matte and meaning is neon; in daylight hue and value carry meaning without
relying on bloom. Local-time light follows an approximate 06:00-18:00 path
from the reader's clock; it uses neither geolocation nor an astronomical
latitude/season model.
Stack: three.js r185, TypeScript, Vite. three.js is the
3D application's only bundled runtime dependency. The separate 2D Query flow
and Machine may lazy-load PGlite after reader opt-in. There is no framework,
and Plausible analytics is the sole external service.
window.PGSIMCITY in the browser console includes sim, registry, bus,rig, gfx and flows if you would rather drive the city from the outside.
For formulas, review history and known simplifications, see
Model accuracy and limitations. Each inspector names
material simplifications at the point where they matter.
Real PostgreSQL beside the model
The accuracy boundary makes internals
such as the clock sweep's frame-by-frame victim choice observable. The separate
Query flow and the Machine offer opt-in PGlite modes: real PostgreSQL
supplies parsing, plans, catalogs, buffer counters, errors and results, while the
visual model supplies the otherwise hidden interior. Each surface labels those
sources separately because PostgreSQL exposes the former and not the latter.
Run it locally
You need Node.js ^20.19.0 || >=22.12.0 and a browser with WebGL2.
npm install
npm run dev # http://localhost:5173
npm test
npm run typecheck
npm run build # static bundle in dist/
npm run preview # http://localhost:4173
There is no application server. The result is a static bundle. The 3D city and
Diagnose model path make only the analytics requests described below. Query flow
and the Machine may, after an explicit click or first submitted query, load the
same-origin PGlite JavaScript, data and WebAssembly assets and run an in-memory
PostgreSQL in the browser. Their model paths continue to work when analytics or
PGlite is blocked.
Analytics and privacy. PGSimCity uses
Plausible for aggregate, cookie-free analytics on the
city, observability, and Machine pages. It records pageviews, unique visitors,
referring sites, bounce rate, visit duration and interactions such as starting
the tour, changing playback, opening a panel, tracing a statement, selecting a
building or following an outbound link. PGSimCity sends no names, email addresses,
free-form input, browser fingerprint or application-supplied personal data, and
creates no analytics cookies, analytics local storage, advertising identifier
or session recording. Blocking plausible.io stops measurement without
affecting the application.
Roadmap
Follow the living delivery roadmap
for current milestones and the technical roadmap for longer-term
direction. See releases for what
is actually shipped.
FAQ
Common questions
Discussion
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