Add 98-http-server-experiments: how many connections can a Go server hold

One stdlib server under test (/static /compute /sleep /stats, ConnState
and in-flight counters) plus a load client with four modes: throughput,
idle, slow, and slowloris. loadlib holds the tested core (Burn,
Percentile, Classify). README documents the runs and how to tell a real
server ceiling from the load generator giving out first.

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_012MpK9niZm4jcs3mAJbxMfi
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2026-09-02 09:34:12 +02:00
co-authored by Claude Fable 5
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# 98 — HTTP server connection experiments
How many connections can a Go HTTP server hold, and what gives out first? This
folder finds the **order of magnitude** (not a portable constant) for four
different failure modes, and — just as important — teaches you to tell a real
server ceiling from your own load generator running out first.
One simple server is the subject under test; one load client drives it in four
modes. Run them in two terminals so each side has its own fd budget.
```
98-http-server-experiments/
server/main.go subject under test: /static /compute /sleep /stats, ConnState + in_flight counters
client/main.go load generator: -mode throughput | idle | slow | slowloris
loadlib/ tested core: Burn (CPU), Percentile, Classify (which side ran out)
README.md this file — decisions log + pasted evidence
```
Pure stdlib, zero dependencies. Part of the `gosre-exercises` module, so:
```sh
go run ./98-http-server-experiments/server # terminal 1
go run ./98-http-server-experiments/client -mode idle -n 2000 # terminal 2
go test -race ./98-http-server-experiments/loadlib/
```
## Run it
**Terminal 1 — the server.** Give it its own fd budget so *you* decide when it
runs out, not the OS default. bash sets both soft and hard limits:
```sh
ulimit -Hn 4096; ulimit -Sn 4096
go run ./98-http-server-experiments/server # naive: no timeouts
go run ./98-http-server-experiments/server -read-header-timeout 3s -idle-timeout 30s # hardened
```
(Since Go 1.19 the runtime raises the soft `RLIMIT_NOFILE` to the hard limit at
startup, so only the **hard** limit really caps you. bash's `ulimit -n` sets
both; zsh's sets only the soft one — use `-Hn`.)
The server prints one line per second:
```
19:12:20 accepted_total=10001 active=10001 in_flight=1 goroutines=10006 heap=107MiB
```
Three numbers that are easy to conflate:
| number | meaning | via |
|---|---|---|
| `accepted_total` | every TCP conn ever accepted (only grows) | `ConnState` StateNew |
| `active` | conns open **right now** — idle keep-alive *or* busy | `ConnState` new − closed |
| `in_flight` | handlers **actually running** right now | middleware around the mux |
An idle keep-alive counts in `active` but not `in_flight`; a running `/sleep`
counts in both. That gap is the whole point of the idle-vs-slow contrast.
**Terminal 2 — the client.** Give it *its own* fd budget, separate from the server:
```sh
ulimit -Hn 64; ulimit -Sn 64
go run ./98-http-server-experiments/client -mode idle -n 200
```
## The four dimensions
### 1. Idle connection ceiling — `-mode idle`
Open `-n` keep-alive conns and hold them idle. Uses **raw `net.Conn`**, not an
`http.Client` — with a fast endpoint the client's connection pool reuses conns
faster than you dial, so N concurrent GETs do *not* reliably produce N
simultaneous conns. Dialing raw and keeping each fd open guarantees exactly N.
```sh
go run ./98-http-server-experiments/client -mode idle -n 10000 -duration 30s
```
```
== mode=idle target=http://127.0.0.1:8098 ==
server before : active=1 in_flight=1 goroutines=6 heap=0MiB
opened : 10000/10000 idle conns held, 0 failed
client goroutines : before=3 after=3 (delta +0; raw fds, no per-conn goroutine)
server after open : active=10001 in_flight=1 goroutines=10006 heap=107MiB ← active≈n, in_flight≈0
```
**Reading it:** 10 000 idle conns cost the server ~107 MiB (from a <1 MiB
baseline) and one goroutine each → **order of magnitude ~10 KiB per idle
connection**. A million idle keep-alives would be ~10 GiB and a million
goroutines — the server holds them fine until it runs out of fds or RAM, not CPU.
Note the client's goroutine delta is **0**: raw fds have no per-conn goroutine,
unlike `http.Transport`'s pool (2 goroutines per pooled conn).
### 2. Active slow requests — `-mode slow`
Fire `-c` concurrent `/sleep` requests and hold them *all in flight* for the
duration. Same conn count as idle, but now each pins a **running** server
goroutine. Prints the server's `in_flight` each second.
```sh
go run ./98-http-server-experiments/client -mode slow -c 500 -duration 10s
```
```
== mode=slow target=http://127.0.0.1:8098 ==
firing 500 concurrent /sleep?d=10s ...
server 01:13:13 active=501 in_flight=501 goroutines=1006 heap=25MiB
requests : 500 ok, 0 failed (of 500 held in flight)
errors : none
```
**Reading it:** `in_flight=501` (the 500 sleepers + the stats poll) vs idle's
`in_flight=1` — that is the difference between "conn open" and "handler running."
Each in-flight request is one goroutine on a goroutine-per-request server; 500
held costs ~1000 goroutines and a few MiB. Push `-c` up in orders of magnitude to
find where the *server* (goroutine stacks, fds) — not the client — gives out.
`/sleep` honors `r.Context()`, so a client that hangs up or a server timeout
frees the goroutine immediately rather than sleeping to term.
### 3. Timeouts & slowloris — `-mode slowloris`
Open `-c` raw TCP conns, send a request line + one header on each, then dribble a
bogus header every `-drip` and **never** send the terminating blank line. The
handler never starts. The only thing that reclaims these conns is the server's
`ReadHeaderTimeout`.
**Naive server** (`go run .../server`, no timeouts):
```
== mode=slowloris target=http://127.0.0.1:8098 ==
opening 200 slowloris conns ...
server 01:13:26 active=201 in_flight=1 goroutines=206 heap=26MiB ← stuck, handler never runs
reclaimed by server: 0
(0 reclaimed: the server has no -read-header-timeout — these conns would stick until fds run out)
```
**Hardened server** (`go run .../server -read-header-timeout 3s`):
```
server 01:13:40 active=201 in_flight=1 goroutines=206 heap=2MiB
server 01:13:42 active=1 in_flight=1 goroutines=6 heap=3MiB ← reclaimed ~3s after opening
reclaimed by server: 200 (server closed the conn mid-headers → -read-header-timeout worked)
```
**Reading it:** with no `ReadHeaderTimeout`, 200 clients doing *nothing* consume
200 connections indefinitely — a handful of hosts can exhaust a server's fds
without ever completing a request. Setting `ReadHeaderTimeout=3s` drops each conn
~3 s after its last progress and `active` stays flat. The same logic applies to
`IdleTimeout` for *completed* keep-alives that then go quiet. **Every production
`http.Server` should set these; the stdlib defaults are all zero (off).**
### 4. Client-side limits — when the measurement is lying
The load generator hits its own walls, often *before* the server does. Push idle
past the ephemeral-port ceiling and watch the **client** fail while the server is
fine:
```sh
go run ./98-http-server-experiments/client -mode idle -n 20000 -duration 5s
```
```
opened : 16312/20000 idle conns held, 3688 failed
errors : client-port-limit=3688
server after open : active=16313 in_flight=1 goroutines=16318 heap=199MiB
```
**Reading it:** this host has 16 384 ephemeral ports (`49152–65535`), and every
conn to the same server `ip:port` needs a distinct one. At 16 312 the client got
`connect: can't assign requested address` — a **client-side** wall. The server
was untroubled (it held 16 313 conns on ~199 MiB). If you didn't cross-check the
server's `/stats`, you might wrongly conclude "the server maxes out at ~16 k."
Every mode fetches `/stats` at start and end for exactly this reason.
## What to watch
- **`active` vs `in_flight`** — open connections vs running handlers (dimensions 1 & 2).
- **`goroutines`** — ~1 per server conn, ~2 per pooled *client* conn, ~0 per raw client conn.
- **`heap`** — server memory; ~10 KiB per idle conn on this host.
- **`reused` vs `fresh`** (throughput) — is the pool actually reusing conns, or dialing every time?
- **`p50/p99/max`** latency and **error histogram** classified by which side ran out.
The throughput control shows how fast it goes when nothing is broken, and how a
CPU-bound endpoint plateaus near `GOMAXPROCS`:
```sh
go run ./98-http-server-experiments/client -mode throughput -path /static -c 50 -duration 3s
# requests : 445013 ok, 0 failed → 148338 req/s latency p50=259µs p99=1.4ms reused=444971 fresh=42
go run ./98-http-server-experiments/client -mode throughput -path "/compute?difficulty=200" -c 50 -duration 3s
# requests : 370 ok, 0 failed → 123 req/s latency p50=393ms p99=1.24s
```
150 k req/s on `/static` collapses to ~120 req/s on `/compute?difficulty=200`:
that's CPU-bound, not connection-bound — 8 cores fully busy, more concurrency
just deepens the queue.
## Reading it — symptom → cause
| symptom | cause |
|---|---|
| client `dial: socket: too many open files` | **client** fd/ulimit — raise the client's limit; the measurement was client-bound |
| client `connect: can't assign requested address` | **client** ephemeral ports exhausted — reuse conns, or use multiple client IPs |
| server log `accept: too many open files` | **server** fd ceiling — the real thing |
| `timeout awaiting response headers` / `connection reset` | server can't accept/service; client is fine |
| slowloris conns stick forever | server has no `ReadHeaderTimeout` |
| idle keep-alives never drop | server has no `IdleTimeout` |
| throughput plateaus near `GOMAXPROCS` on `/compute` | CPU-bound, not conn-bound |
The `Classify` helper in `loadlib` turns these strings into counted classes so
the client's error histogram tells you which side gave out.
## Client-side pitfalls (know when the number is yours, not the server's)
- **Ephemeral port exhaustion.** One client → one server `ip:port` gets ~16 k–28 k
ephemeral ports (`net.inet.ip.portrange.first/last` on macOS,
`net.ipv4.ip_local_port_range` on Linux). Above that, `connect` fails. Fix for
the *test*: reuse keep-alive conns (don't open a fresh 4-tuple per request), or
drive from several client IPs/hosts.
- **TIME_WAIT.** Every actively-closed conn sits in TIME_WAIT ~60 s holding its
4-tuple; a close-per-request pattern piles them up
(`netstat -an | grep -c TIME_WAIT`) and starves ephemeral ports. Keep-alive
reuse avoids it. `SO_REUSEADDR` does not help the client here.
- **`MaxIdleConnsPerHost` (default 2).** If it's below your concurrency, the
client dials fresh every round and you measure TCP handshakes, not the server.
The client auto-sizes it to `-c`; override with `-idle-per-host`.
- **`Client.Timeout` / `ResponseHeaderTimeout`.** A timeout force-closes a stuck
conn, which *hides* a hold or a leak. The client defaults `-timeout 0`; `slow`
mode disables the header timeout entirely because its responses are slow **by
design** (an early version misreported held requests as "server-cant-accept").
- **Always cross-check `/stats`.** If the client says "failed" but the server
never saw the conn, the client ran out first.
## Host caveats (numbers here are not portable)
Measured on: Apple M-series (Mac15,12), 8 cores, macOS (darwin/arm64), go 1.27.
`kern.maxfilesperproc=92160`, ephemeral ports `49152–65535` (16 384).
- **macOS vs Linux differ.** fd caps (`kern.maxfilesperproc` / `ulimit`), TIME_WAIT
and port-range sysctls, and even `accept`/`dial` error strings are not the same.
- **Listen backlog** caps the accept queue independently of your handler:
`kern.ipc.somaxconn` (macOS) / `net.core.somaxconn` (Linux).
- **One process, shared fd limit.** If you run both roles in one process they
share the fd budget and the server usually dies first — use two terminals.
## Decisions log (what we built, how, and why)
- **One server binary + one client binary; scenarios are `-mode`, not separate
binaries.** The four dimensions stress the *same* server; splitting them would
duplicate the transport/httptrace/reporting scaffolding four times. Two-process
split so each side gets its own fd/ulimit (same rationale as `99-experiments/body-drain`'s `-role`).
- **Three live counters, not one.** `active` (ConnState) and `in_flight`
(middleware) are tracked separately because "conn open" ≠ "handler running" —
that distinction *is* the idle-vs-slow experiment.
- **`idle` mode uses raw `net.Conn`, not `http.Client`.** The pool reuses conns
faster than we dial against a fast endpoint, so a pool-based idle mode
under-counts non-deterministically (20 000 GETs held only ~8 700). Raw dials
give exactly N — and, as a bonus, expose ephemeral-port exhaustion cleanly.
- **`slowloris` uses raw `net.Conn`.** The stdlib client won't send a deliberately
incomplete request, so we speak HTTP by hand: request line + headers, never the
terminating blank line.
- **`Burn` is deterministic and non-elidable.** A data-dependent integer hash of
`difficulty × 200k` iterations; the handler writes the checksum so the compiler
can't drop the loop. No `runtime.Gosched`, so it genuinely holds a P. Tested by
iteration count, not wall-clock, to stay non-flaky.
- **Zero dependencies.** No `x/net/netutil.LimitListener` for `-max-conns`; a real
server caps concurrency with a semaphore-guarded handler or a wrapped listener,
and we'd rather observe the OS ceiling than hide it.
- **Server timeouts default to OFF.** So the slowloris vulnerability is
demonstrable out of the box; turn `-read-header-timeout` / `-idle-timeout` on to
watch the server reclaim.
- **Network ceilings are not unit-tested.** They're environmental (ulimit, sysctl,
host); only `Burn`, `Percentile`, and `Classify` are tested. The ceilings live
here as pasted evidence.
## References
- `net/http.Server` timeout fields — https://pkg.go.dev/net/http#Server
- Cloudflare, "The complete guide to Go net/http timeouts" — https://blog.cloudflare.com/the-complete-guide-to-golang-net-http-timeouts/
- `net/http/httptrace` — https://pkg.go.dev/net/http/httptrace
- `http.ConnState` — https://pkg.go.dev/net/http#ConnState
- Slowloris (CWE-400 / low-and-slow) — https://en.wikipedia.org/wiki/Slowloris_(cyber_attack)
- Ephemeral ports & TIME_WAIT — https://www.rfc-editor.org/rfc/rfc6335, `sysctl net.inet.ip.portrange` / `net.ipv4.ip_local_port_range`
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// Load generator for the experiment server. One binary, four modes, each a
// different way to ask "how many connections, and what gives out first?".
//
// Modes (-mode):
//
// throughput closed loop: -c workers hammer -path for -duration, reusing conns.
// The control — how fast when nothing is broken. Point -path at
// /compute?difficulty=N to watch it plateau near GOMAXPROCS.
// idle open -n keep-alive conns to /static and HOLD them (don't close).
// Measures the cost of an idle connection: fds, goroutines, memory.
// slow fire -c concurrent /sleep requests and hold them all in flight.
// Same conn count as idle, but each pins a running server goroutine.
// slowloris -c raw TCP conns that dribble headers forever and never finish
// the request. Defeated only by the server's -read-header-timeout.
//
// Every mode cross-checks the server's own /stats so you can tell a real server
// ceiling from your own client running out first. Which error you get tells you
// which side gave out:
//
// dial ...: socket: too many open files → THIS process (raise the client's ulimit)
// timeout awaiting response headers → the server can't accept
// connection reset by peer → the server closed on you (or a timeout fired)
// connection refused → nothing listening
//
// Give the client its own fd budget, separate from the server's:
//
// ulimit -Hn 64; ulimit -Sn 64; go run ./98-http-server-experiments/client -mode idle -n 200
//
// (bash sets soft+hard; zsh only soft — use -Hn. Since Go 1.19 only the hard
// limit really caps you.)
package main
import (
"bufio"
"context"
"encoding/json"
"flag"
"fmt"
"io"
"net"
"net/http"
"net/http/httptrace"
"os"
"os/signal"
"runtime"
"strings"
"sync"
"sync/atomic"
"time"
"gosre-exercises/98-http-server-experiments/loadlib"
)
// serverStats mirrors the server's /stats JSON for the cross-check.
type serverStats struct {
AcceptedTotal int64 `json:"accepted_total"`
ActiveConns int64 `json:"active_conns"`
InFlight int64 `json:"in_flight"`
Goroutines int `json:"goroutines"`
HeapBytes uint64 `json:"heap_bytes"`
}
func (s serverStats) String() string {
return fmt.Sprintf("active=%d in_flight=%d goroutines=%d heap=%dMiB",
s.ActiveConns, s.InFlight, s.Goroutines, s.HeapBytes>>20)
}
// fetchStats reads the server's /stats over a throwaway conn (own transport so it
// never borrows from or perturbs the pool we're measuring).
func fetchStats(base string) (serverStats, error) {
var st serverStats
c := &http.Client{Timeout: 2 * time.Second}
resp, err := c.Get(base + "/stats")
if err != nil {
return st, err
}
defer resp.Body.Close()
err = json.NewDecoder(resp.Body).Decode(&st)
return st, err
}
// opts bundle the CLI knobs the modes read.
type opts struct {
url, path string
n, c int
duration time.Duration
idlePerHost int
headerTimeout time.Duration
clientTimeout time.Duration
drip time.Duration
}
// newTransport builds a fresh pool so runs don't share state. idlePerHost must be
// >= the concurrency you want reused, or conns get dropped instead of pooled.
func newTransport(o opts) *http.Transport {
tr := http.DefaultTransport.(*http.Transport).Clone()
tr.MaxIdleConns = o.n + o.c
tr.MaxIdleConnsPerHost = o.idlePerHost
tr.ResponseHeaderTimeout = o.headerTimeout
return tr
}
// errHistogram counts failures by which side they blame.
type errHistogram struct {
mu sync.Mutex
m map[loadlib.ErrClass]int
}
func newErrHistogram() *errHistogram { return &errHistogram{m: map[loadlib.ErrClass]int{}} }
func (h *errHistogram) add(err error) {
h.mu.Lock()
h.m[loadlib.Classify(err)]++
h.mu.Unlock()
}
func (h *errHistogram) String() string {
h.mu.Lock()
defer h.mu.Unlock()
if len(h.m) == 0 {
return "none"
}
s := ""
for cls, n := range h.m {
s += fmt.Sprintf("%s=%d ", cls, n)
}
return s
}
// ---- mode: throughput ----
// runThroughput drives a closed loop: c workers each loop Do()+drain for the
// duration. Conns are reused, so this measures service speed, not dial cost.
func runThroughput(o opts) {
tr := newTransport(o)
defer tr.CloseIdleConnections()
var reused, fresh, ok, failed atomic.Int64
trace := &httptrace.ClientTrace{GotConn: func(i httptrace.GotConnInfo) {
if i.Reused {
reused.Add(1)
} else {
fresh.Add(1)
}
}}
ctx := httptrace.WithClientTrace(context.Background(), trace)
deadline := time.Now().Add(o.duration)
client := &http.Client{Transport: tr, Timeout: o.clientTimeout}
hist := newErrHistogram()
target := o.url + o.path
var wg sync.WaitGroup
var lats []loadlib.Latencies
lats = make([]loadlib.Latencies, o.c)
for w := 0; w < o.c; w++ {
wg.Add(1)
go func(w int) {
defer wg.Done()
for time.Now().Before(deadline) {
start := time.Now()
req, _ := http.NewRequestWithContext(ctx, http.MethodGet, target, nil)
resp, err := client.Do(req)
if err != nil {
failed.Add(1)
hist.add(err)
continue
}
io.Copy(io.Discard, resp.Body)
resp.Body.Close()
lats[w].Add(time.Since(start))
ok.Add(1)
}
}(w)
}
wg.Wait()
var all loadlib.Latencies
for i := range lats {
all.Merge(&lats[i])
}
p50, p99, max := all.Snapshot()
rps := float64(ok.Load()) / o.duration.Seconds()
fmt.Printf(" target : %s (concurrency %d, %v)\n", target, o.c, o.duration)
fmt.Printf(" requests : %d ok, %d failed → %.0f req/s\n", ok.Load(), failed.Load(), rps)
fmt.Printf(" latency : p50=%v p99=%v max=%v\n", p50.Round(time.Microsecond), p99.Round(time.Microsecond), max.Round(time.Microsecond))
fmt.Printf(" conns : reused=%d fresh=%d\n", reused.Load(), fresh.Load())
fmt.Printf(" errors : %s\n", hist)
}
// ---- mode: idle ----
// runIdle opens n keep-alive conns and HOLDS them idle, then reports the server's
// view. It uses raw net.Conn rather than http.Client on purpose: with a fast
// endpoint the client's connection pool reuses conns faster than we dial, so n
// concurrent GETs do NOT reliably produce n simultaneous conns. Dialing raw and
// keeping each fd open guarantees exactly n idle keep-alives — the number we want
// to be honest about. Each does one real GET /static (so the server completes a
// request and parks the conn as idle: active=n, in_flight≈0), then we sit on it.
func runIdle(o opts) {
before, _ := fetchStats(o.url)
fmt.Printf(" server before : %s\n", before)
host := hostPort(o.url)
grBefore := runtime.NumGoroutine()
var opened, failed atomic.Int64
hist := newErrHistogram()
conns := make([]net.Conn, 0, o.n)
var mu sync.Mutex
// Bounded dial concurrency: fast enough to open thousands quickly, without a
// thundering herd of goroutines. Each conn, once its response is drained,
// just sits open — no per-conn goroutine, unlike the transport's 2-per-conn.
sem := make(chan struct{}, 256)
var wg sync.WaitGroup
for i := 0; i < o.n; i++ {
sem <- struct{}{}
wg.Add(1)
go func() {
defer wg.Done()
defer func() { <-sem }()
conn, err := net.DialTimeout("tcp", host, 5*time.Second)
if err != nil {
failed.Add(1)
hist.add(err)
return
}
// One real keep-alive request, response drained, conn left open.
if _, err := fmt.Fprintf(conn, "GET /static HTTP/1.1\r\nHost: %s\r\nConnection: keep-alive\r\n\r\n", host); err != nil {
failed.Add(1)
hist.add(err)
conn.Close()
return
}
br := bufio.NewReader(conn)
resp, err := http.ReadResponse(br, nil)
if err != nil {
failed.Add(1)
hist.add(err)
conn.Close()
return
}
io.Copy(io.Discard, resp.Body)
resp.Body.Close()
mu.Lock()
conns = append(conns, conn)
mu.Unlock()
opened.Add(1)
}()
}
wg.Wait()
time.Sleep(100 * time.Millisecond) // let the server finish parking them as idle
peak, _ := fetchStats(o.url)
fmt.Printf(" opened : %d/%d idle conns held, %d failed\n", opened.Load(), o.n, failed.Load())
fmt.Printf(" errors : %s\n", hist)
fmt.Printf(" client goroutines : before=%d after=%d (delta %+d; raw fds, no per-conn goroutine)\n",
grBefore, runtime.NumGoroutine(), runtime.NumGoroutine()-grBefore)
fmt.Printf(" server after open : %s ← active≈n, in_flight≈0: these conns are OPEN but no handler runs\n", peak)
fmt.Printf(" holding %d idle conns for %v — watch the server's active= stay put. Ctrl-C to release early.\n", opened.Load(), o.duration)
holdFor(o.url, o.duration)
for _, c := range conns {
c.Close()
}
time.Sleep(200 * time.Millisecond)
after, _ := fetchStats(o.url)
fmt.Printf(" server after close : %s (active should fall back toward its baseline)\n", after)
}
// ---- mode: slow ----
// runSlow fires c concurrent /sleep requests that each stay in flight for the
// whole duration, so c server goroutines are pinned at once. Prints the server's
// in_flight/goroutines each second while they're held.
func runSlow(o opts) {
before, _ := fetchStats(o.url)
fmt.Printf(" server before : %s\n", before)
// By design every response is slow (it arrives only after the sleep), so we
// must NOT apply a response-header timeout here — it would abort legitimate
// slow responses and lie that the server "can't accept". Instead we bound
// each request with a context deadline a bit past the sleep, so a truly
// stuck request still unblocks wg.Wait() and gets reported.
tr := newTransport(o)
tr.ResponseHeaderTimeout = 0
defer tr.CloseIdleConnections()
client := &http.Client{Transport: tr}
target := fmt.Sprintf("%s/sleep?d=%s", o.url, o.duration)
reqTimeout := o.duration + 10*time.Second
var ok, failed atomic.Int64
hist := newErrHistogram()
stopPoll := make(chan struct{})
go pollStats(o.url, stopPoll)
fmt.Printf(" firing %d concurrent /sleep?d=%v ...\n", o.c, o.duration)
var wg sync.WaitGroup
for i := 0; i < o.c; i++ {
wg.Add(1)
go func() {
defer wg.Done()
ctx, cancel := context.WithTimeout(context.Background(), reqTimeout)
defer cancel()
req, _ := http.NewRequestWithContext(ctx, http.MethodGet, target, nil)
resp, err := client.Do(req)
if err != nil {
failed.Add(1)
hist.add(err)
return
}
io.Copy(io.Discard, resp.Body)
resp.Body.Close()
ok.Add(1)
}()
}
wg.Wait()
close(stopPoll)
fmt.Printf(" requests : %d ok, %d failed (of %d held in flight)\n", ok.Load(), failed.Load(), o.c)
fmt.Printf(" errors : %s\n", hist)
}
// ---- mode: slowloris ----
// runSlowloris opens c raw TCP conns, sends a request line + one header on each,
// then dribbles a bogus header every -drip and NEVER sends the terminating blank
// line. The handler never starts. A server with -read-header-timeout closes the
// conn after that timeout; we detect it as a read returning EOF/reset and count
// how many the server reclaimed.
func runSlowloris(o opts) {
host := hostPort(o.url)
before, _ := fetchStats(o.url)
fmt.Printf(" server before : %s\n", before)
fmt.Printf(" opening %d slowloris conns to %s (drip every %v) ...\n", o.c, host, o.drip)
var held, reclaimed, dialFailed atomic.Int64
hist := newErrHistogram()
ctx, stop := signal.NotifyContext(context.Background(), os.Interrupt)
defer stop()
var wg sync.WaitGroup
for i := 0; i < o.c; i++ {
conn, err := net.DialTimeout("tcp", host, 5*time.Second)
if err != nil {
dialFailed.Add(1)
hist.add(err)
continue
}
held.Add(1)
wg.Add(1)
go func(conn net.Conn) {
defer wg.Done()
defer conn.Close()
// Incomplete request: a valid start line and Host, but no blank line.
fmt.Fprintf(conn, "GET /static HTTP/1.1\r\nHost: %s\r\n", host)
dripTick := time.NewTicker(o.drip)
defer dripTick.Stop()
// A reader goroutine turns a server-side close into a signal.
closed := make(chan struct{})
go func() {
buf := make([]byte, 1)
conn.Read(buf) // blocks until the server closes → EOF/reset
close(closed)
}()
for {
select {
case <-ctx.Done():
return
case <-closed:
reclaimed.Add(1)
return
case <-dripTick.C:
// One more bogus header — still no terminating blank line.
if _, err := fmt.Fprint(conn, "X-Keep: alive\r\n"); err != nil {
reclaimed.Add(1)
return
}
}
}
}(conn)
}
// Report the server's view periodically while conns are held.
stopPoll := make(chan struct{})
go pollStats(o.url, stopPoll)
select {
case <-ctx.Done():
case <-time.After(o.duration):
}
stop() // stop the drip loops
close(stopPoll) // stop polling
wg.Wait()
after, _ := fetchStats(o.url)
fmt.Printf(" held : %d conns opened, %d dial-failed\n", held.Load(), dialFailed.Load())
fmt.Printf(" reclaimed by server: %d (server closed the conn mid-headers → -read-header-timeout worked)\n", reclaimed.Load())
fmt.Printf(" errors : %s\n", hist)
fmt.Printf(" server after : %s\n", after)
if reclaimed.Load() == 0 {
fmt.Println(" (0 reclaimed: the server has no -read-header-timeout — these conns would stick until fds run out)")
}
}
// ---- helpers ----
// pollStats prints the server's /stats once a second until stop is closed.
func pollStats(base string, stop <-chan struct{}) {
tick := time.NewTicker(time.Second)
defer tick.Stop()
for {
select {
case <-stop:
return
case <-tick.C:
if st, err := fetchStats(base); err == nil {
fmt.Printf(" server %s %s\n", time.Now().Format("15:04:05"), st)
}
}
}
}
// holdFor blocks for d or until Ctrl-C, printing the server's view each second so
// you can watch the held conns sit there.
func holdFor(base string, d time.Duration) {
ctx, stop := signal.NotifyContext(context.Background(), os.Interrupt)
defer stop()
stopPoll := make(chan struct{})
go pollStats(base, stopPoll)
select {
case <-ctx.Done():
case <-time.After(d):
}
close(stopPoll)
}
// hostPort turns http://host:port[/...] into host:port for net.Dial.
func hostPort(rawurl string) string {
s := strings.TrimPrefix(rawurl, "http://")
if i := strings.IndexByte(s, '/'); i >= 0 {
s = s[:i]
}
return s
}
func main() {
mode := flag.String("mode", "throughput", "throughput | idle | slow | slowloris")
url := flag.String("url", "http://127.0.0.1:8098", "server base URL")
path := flag.String("path", "/static", "throughput: path to hit, e.g. /static or /compute?difficulty=50")
n := flag.Int("n", 1000, "idle: number of keep-alive conns to open and hold")
c := flag.Int("c", 50, "throughput/slow/slowloris: concurrency (workers / held conns)")
duration := flag.Duration("duration", 10*time.Second, "how long to run / hold")
idlePerHost := flag.Int("idle-per-host", 0, "Transport.MaxIdleConnsPerHost (0 = auto: n for idle, c otherwise)")
headerTimeout := flag.Duration("header-timeout", 3*time.Second, "Transport.ResponseHeaderTimeout (0 = none)")
clientTimeout := flag.Duration("timeout", 0, "http.Client.Timeout (0 = none; a timeout force-closes stuck conns and hides holds)")
drip := flag.Duration("drip", 10*time.Second, "slowloris: interval between dribbled header bytes")
flag.Parse()
o := opts{
url: *url, path: *path, n: *n, c: *c, duration: *duration,
idlePerHost: *idlePerHost, headerTimeout: *headerTimeout,
clientTimeout: *clientTimeout, drip: *drip,
}
// Auto-size the idle pool so conns are actually reused/held, not dropped.
if o.idlePerHost == 0 {
if *mode == "idle" {
o.idlePerHost = o.n
} else {
o.idlePerHost = o.c
}
}
fmt.Printf("== mode=%s target=%s ==\n", *mode, o.url)
switch *mode {
case "throughput":
runThroughput(o)
case "idle":
runIdle(o)
case "slow":
runSlow(o)
case "slowloris":
runSlowloris(o)
default:
fmt.Fprintf(os.Stderr, "unknown -mode %q (throughput|idle|slow|slowloris)\n", *mode)
os.Exit(2)
}
}
@@ -0,0 +1,164 @@
// Package loadlib holds the small, pure pieces the server and load client share
// and that are worth a unit test: a deterministic CPU burn, a percentile helper,
// and an error classifier that says which side of a connection ran out.
//
// Everything network-shaped lives in the two binaries; those ceilings are
// environmental (ulimit/sysctl/host) and are documented as pasted evidence in
// the folder README rather than asserted in a test.
package loadlib
import (
"errors"
"net"
"sort"
"strings"
"time"
)
// burnIters is the inner-loop count per unit of difficulty. Kept as a named
// constant so the test can reason about total iterations without a wall clock.
const burnIters = 200_000
// Iterations returns how many inner-loop steps Burn(difficulty) will run.
// It is the seam the test asserts on: cost is linear in difficulty, no timing.
func Iterations(difficulty int) int {
if difficulty < 1 {
difficulty = 1
}
return difficulty * burnIters
}
// Burn occupies a CPU for an amount of work proportional to difficulty and
// returns a checksum. The caller must use the return value (write it to the
// response) so the compiler cannot elide the loop.
//
// The mix is a cheap integer hash with a data dependency across iterations, so
// each step depends on the last and the optimizer can't collapse the loop or
// vectorize it away. There is deliberately no runtime.Gosched inside: Burn is
// meant to genuinely hold a P, which is the whole point of the /compute probe
// (how many CPU-bound requests before GOMAXPROCS saturates).
func Burn(difficulty int) uint64 {
var x uint64 = 1469598103934665603 // FNV-1a offset basis, just a seed
n := Iterations(difficulty)
for i := 0; i < n; i++ {
x ^= uint64(i)
x *= 1099511628211 // FNV-1a prime
x = x<<13 | x>>51 // rotate so high bits feed back in
}
return x
}
// Percentile returns the p-th percentile (p in [0,1]) of an already-sorted
// slice. Empty → 0, p<=0 → first, p>=1 → last. Nearest-rank, no interpolation —
// good enough for "orders of magnitude" latency reporting.
func Percentile(sorted []time.Duration, p float64) time.Duration {
if len(sorted) == 0 {
return 0
}
if p < 0 {
p = 0
}
if p > 1 {
p = 1
}
i := int(float64(len(sorted)-1) * p)
return sorted[i]
}
// Latencies accumulates request durations and reports percentiles, keeping the
// client's main loop thin. Not safe for concurrent use — each worker should own
// one and they get merged, or a single collector goroutine owns it.
type Latencies struct {
d []time.Duration
}
func (l *Latencies) Add(d time.Duration) { l.d = append(l.d, d) }
func (l *Latencies) Len() int { return len(l.d) }
// Merge folds another accumulator's samples in (for per-worker collection).
func (l *Latencies) Merge(o *Latencies) { l.d = append(l.d, o.d...) }
// Snapshot sorts and returns p50, p99, and max. Sorts in place; call once at end.
func (l *Latencies) Snapshot() (p50, p99, max time.Duration) {
sort.Slice(l.d, func(i, j int) bool { return l.d[i] < l.d[j] })
return Percentile(l.d, 0.50), Percentile(l.d, 0.99), Percentile(l.d, 1)
}
// ErrClass names which side of the connection gave out. It turns the body-drain
// "which error string means what" table into something the client can count.
type ErrClass int
const (
ErrNone ErrClass = iota // no error
ErrClientFdLimit // this process ran out of fds (dial: too many open files)
ErrClientPortLimit // this process ran out of ephemeral ports (can't assign requested address)
ErrServerCantAccept // server can't accept (out of fds / backlog full) — we time out
ErrTimeout // request/response timed out (ambiguous, but usually the server)
ErrConnReset // peer reset/closed the connection
ErrRefused // nothing listening / server gone
ErrOther
)
func (c ErrClass) String() string {
switch c {
case ErrNone:
return "none"
case ErrClientFdLimit:
return "client-fd-limit"
case ErrClientPortLimit:
return "client-port-limit"
case ErrServerCantAccept:
return "server-cant-accept"
case ErrTimeout:
return "timeout"
case ErrConnReset:
return "conn-reset"
case ErrRefused:
return "conn-refused"
default:
return "other"
}
}
// Classify maps a net/http client error to the side that most likely caused it.
// It leans on error strings because the kernel/runtime messages are the only
// distinguishing signal for several of these; the checks are ordered most- to
// least-specific so, e.g., "too many open files" wins over the generic timeout.
func Classify(err error) ErrClass {
if err == nil {
return ErrNone
}
msg := strings.ToLower(err.Error())
switch {
case strings.Contains(msg, "too many open files"):
// A dial failing this way is THIS process out of fds. (A server out of
// fds fails on accept and never produces this string on the client.)
return ErrClientFdLimit
case strings.Contains(msg, "assign requested address"):
// EADDRNOTAVAIL: no ephemeral port left for a fresh 4-tuple to this
// server. A client-side wall, often hit before the fd limit.
return ErrClientPortLimit
case strings.Contains(msg, "connection refused"):
return ErrRefused
case strings.Contains(msg, "connection reset") || strings.Contains(msg, "broken pipe") ||
strings.Contains(msg, "eof"):
return ErrConnReset
}
// "awaiting response headers" / a dial timeout usually means the server
// accepted us into its backlog but can't service (or can't accept at all),
// so we sit waiting. Treat a timeout as a server-can't-keep-up signal, but
// keep a generic ErrTimeout for the plain deadline case.
var ne net.Error
if errors.As(err, &ne) && ne.Timeout() {
if strings.Contains(msg, "awaiting response headers") {
return ErrServerCantAccept
}
return ErrTimeout
}
if strings.Contains(msg, "timeout") || strings.Contains(msg, "deadline exceeded") {
return ErrTimeout
}
return ErrOther
}
@@ -0,0 +1,147 @@
package loadlib
import (
"errors"
"fmt"
"net"
"testing"
"time"
)
func TestBurnDeterministic(t *testing.T) {
// Same difficulty must give the same checksum: the /compute endpoint returns
// it, and a flaky checksum would mean a non-deterministic loop.
for _, d := range []int{1, 3, 10} {
if a, b := Burn(d), Burn(d); a != b {
t.Errorf("Burn(%d) not deterministic: %d != %d", d, a, b)
}
}
}
func TestBurnDifficultyChangesResult(t *testing.T) {
// Different difficulties should not collide (they run different iteration
// counts); a collision here would suggest the loop body ignores i.
if Burn(1) == Burn(2) {
t.Error("Burn(1) == Burn(2): difficulty has no effect on the checksum")
}
}
func TestIterationsLinearAndFloored(t *testing.T) {
if got := Iterations(2); got != 2*burnIters {
t.Errorf("Iterations(2) = %d, want %d", got, 2*burnIters)
}
// difficulty < 1 is clamped to 1 so /compute?difficulty=0 still does work.
for _, d := range []int{0, -5} {
if got := Iterations(d); got != burnIters {
t.Errorf("Iterations(%d) = %d, want %d (floor of 1)", d, got, burnIters)
}
}
// Cost is monotonic in difficulty.
if Iterations(3) <= Iterations(2) {
t.Error("Iterations not increasing with difficulty")
}
}
func TestPercentileEdges(t *testing.T) {
if got := Percentile(nil, 0.5); got != 0 {
t.Errorf("Percentile(empty) = %v, want 0", got)
}
s := []time.Duration{10, 20, 30, 40, 50}
cases := []struct {
p float64
want time.Duration
}{
{-1, 10}, // clamped to first
{0, 10}, // first
{0.5, 30}, // middle
{1, 50}, // last
{2, 50}, // clamped to last
}
for _, c := range cases {
if got := Percentile(s, c.p); got != c.want {
t.Errorf("Percentile(%v, %v) = %v, want %v", s, c.p, got, c.want)
}
}
if got := Percentile([]time.Duration{99}, 0.9); got != 99 {
t.Errorf("Percentile(single) = %v, want 99", got)
}
}
func TestLatenciesSnapshot(t *testing.T) {
var l Latencies
// Add out of order; Snapshot must sort before reporting.
for _, d := range []time.Duration{50, 10, 30, 40, 20} {
l.Add(d * time.Millisecond)
}
if l.Len() != 5 {
t.Fatalf("Len = %d, want 5", l.Len())
}
p50, p99, max := l.Snapshot()
if p50 != 30*time.Millisecond {
t.Errorf("p50 = %v, want 30ms", p50)
}
if max != 50*time.Millisecond {
t.Errorf("max = %v, want 50ms", max)
}
// Nearest-rank: index int(4*0.99)=3 → 40ms for this 5-sample set.
if p99 != 40*time.Millisecond {
t.Errorf("p99 = %v, want 40ms", p99)
}
}
func TestLatenciesMerge(t *testing.T) {
var a, b Latencies
a.Add(10 * time.Millisecond)
b.Add(20 * time.Millisecond)
a.Merge(&b)
if a.Len() != 2 {
t.Fatalf("after merge Len = %d, want 2", a.Len())
}
}
func TestClassify(t *testing.T) {
timeoutErr := &net.OpError{
Op: "dial",
Err: timeoutError{},
}
headerTimeout := fmt.Errorf("net/http: timeout awaiting response headers")
cases := []struct {
name string
err error
want ErrClass
}{
{"nil", nil, ErrNone},
{"client fds", errors.New("dial tcp 127.0.0.1:8098: socket: too many open files"), ErrClientFdLimit},
{"client ports", errors.New("dial tcp 127.0.0.1:8098: connect: can't assign requested address"), ErrClientPortLimit},
{"refused", errors.New("dial tcp 127.0.0.1:8098: connect: connection refused"), ErrRefused},
{"reset", errors.New("read tcp: connection reset by peer"), ErrConnReset},
{"eof", errors.New("unexpected EOF"), ErrConnReset},
{"plain net timeout", timeoutErr, ErrTimeout},
{"server cant accept", headerTimeoutNetErr{}, ErrServerCantAccept},
{"header timeout string", headerTimeout, ErrTimeout}, // not a net.Error, but has "timeout"
{"deadline", errors.New("context deadline exceeded"), ErrTimeout},
{"other", errors.New("something weird"), ErrOther},
}
for _, c := range cases {
if got := Classify(c.err); got != c.want {
t.Errorf("%s: Classify(%v) = %v, want %v", c.name, c.err, got, c.want)
}
}
}
// timeoutError is a minimal net.Error whose Timeout() reports true, used to build
// a synthetic *net.OpError the way the runtime would on a real dial timeout.
type timeoutError struct{}
func (timeoutError) Error() string { return "i/o timeout" }
func (timeoutError) Timeout() bool { return true }
func (timeoutError) Temporary() bool { return true }
// headerTimeoutNetErr is a net.Error whose message is the exact one net/http
// produces when ResponseHeaderTimeout fires — the "server can't accept" signal.
type headerTimeoutNetErr struct{}
func (headerTimeoutNetErr) Error() string { return "net/http: timeout awaiting response headers" }
func (headerTimeoutNetErr) Timeout() bool { return true }
func (headerTimeoutNetErr) Temporary() bool { return true }
+219
View File
@@ -0,0 +1,219 @@
// Experiment subject — a deliberately simple HTTP server whose only job is to
// be measured. How many connections can it hold, and what breaks first?
//
// Endpoints:
//
// GET /static fixed tiny body, no per-request work (the baseline)
// GET /compute?difficulty=N burns CPU ∝ N, returns the checksum (CPU-bound probe)
// GET /sleep?d=500ms sleeps d, honoring client disconnect (in-flight holder)
// GET /healthz liveness
// GET /stats JSON: accepted_total, active_conns, in_flight, goroutines, heap_bytes
//
// Observability. We separate three numbers that are easy to conflate:
//
// accepted_total every TCP conn ever accepted (only grows)
// active_conns conns open right now (idle keep-alive OR busy) — via ConnState
// in_flight handlers actually running right now — via middleware
//
// An idle keep-alive conn counts in active_conns but not in_flight; a running
// /sleep counts in both. That gap is the whole point of the idle-vs-slow contrast.
//
// Timeout flags are the naive-vs-hardened knobs. They default to OFF so the
// slowloris experiment works out of the box; turn them on to watch the server
// reclaim connections:
//
// -read-header-timeout 3s drop a conn that dawdles sending headers (kills slowloris)
// -idle-timeout 30s drop a keep-alive conn that goes quiet
// -read-timeout / -write-timeout whole-request deadlines
//
// Run (terminal 1), then drive it with ./client (terminal 2):
//
// go run ./98-http-server-experiments/server
// go run ./98-http-server-experiments/server -read-header-timeout 3s -idle-timeout 30s # hardened
//
// Give the server its own fd budget so YOU decide when it runs out (not the OS
// default of a few hundred / a few thousand). bash sets both soft and hard:
//
// ulimit -Hn 4096; ulimit -Sn 4096; go run ./98-http-server-experiments/server
//
// (Since Go 1.19 the runtime raises the soft RLIMIT_NOFILE to the hard limit at
// startup, so only the hard limit really caps you. zsh's `ulimit -n` sets only
// the soft one — use `-Hn`.)
package main
import (
"context"
"encoding/json"
"flag"
"fmt"
"net"
"net/http"
"os"
"os/signal"
"runtime"
"strconv"
"sync/atomic"
"time"
"gosre-exercises/98-http-server-experiments/loadlib"
)
// server is the subject under test: an http.Server plus the three live counters.
type server struct {
srv *http.Server
ln net.Listener
acceptedTot atomic.Int64 // every conn ever accepted
activeConns atomic.Int64 // conns open right now
inFlight atomic.Int64 // handlers running right now
}
func (s *server) handleStatic(w http.ResponseWriter, r *http.Request) {
w.Header().Set("Content-Type", "text/plain")
fmt.Fprint(w, "ok\n")
}
// handleCompute burns CPU proportional to ?difficulty= and writes the checksum
// back. Writing it matters: it forces the burn to actually happen (the compiler
// can't prove the result is unused) and lets the client confirm the work ran.
func (s *server) handleCompute(w http.ResponseWriter, r *http.Request) {
difficulty := 1
if v := r.URL.Query().Get("difficulty"); v != "" {
if n, err := strconv.Atoi(v); err == nil {
difficulty = n
}
}
sum := loadlib.Burn(difficulty)
w.Header().Set("Content-Type", "text/plain")
fmt.Fprintf(w, "difficulty=%d checksum=%d\n", difficulty, sum)
}
// handleSleep keeps the request in flight for ?d= but returns early if the
// client disconnects or a server timeout fires — otherwise a client that hangs
// up would leave the goroutine sleeping to full term, hiding the reclaim.
func (s *server) handleSleep(w http.ResponseWriter, r *http.Request) {
d := 500 * time.Millisecond
if v := r.URL.Query().Get("d"); v != "" {
if parsed, err := time.ParseDuration(v); err == nil {
d = parsed
}
}
select {
case <-time.After(d):
w.Header().Set("Content-Type", "text/plain")
fmt.Fprintf(w, "slept %v\n", d)
case <-r.Context().Done():
// Client went away or a timeout fired; nothing to write.
}
}
type statsSnapshot struct {
AcceptedTotal int64 `json:"accepted_total"`
ActiveConns int64 `json:"active_conns"`
InFlight int64 `json:"in_flight"`
Goroutines int `json:"goroutines"`
HeapBytes uint64 `json:"heap_bytes"`
}
func (s *server) snapshot() statsSnapshot {
var m runtime.MemStats
runtime.ReadMemStats(&m)
return statsSnapshot{
AcceptedTotal: s.acceptedTot.Load(),
ActiveConns: s.activeConns.Load(),
InFlight: s.inFlight.Load(),
Goroutines: runtime.NumGoroutine(),
HeapBytes: m.HeapInuse,
}
}
func (s *server) handleStats(w http.ResponseWriter, r *http.Request) {
w.Header().Set("Content-Type", "application/json")
json.NewEncoder(w).Encode(s.snapshot())
}
// countInFlight wraps a handler so in_flight tracks handlers actually running,
// as distinct from conns merely open (which ConnState already counts).
func (s *server) countInFlight(next http.Handler) http.Handler {
return http.HandlerFunc(func(w http.ResponseWriter, r *http.Request) {
s.inFlight.Add(1)
defer s.inFlight.Add(-1)
next.ServeHTTP(w, r)
})
}
func main() {
addr := flag.String("addr", "127.0.0.1:8098", "address to listen on")
readHeaderTimeout := flag.Duration("read-header-timeout", 0, "Server.ReadHeaderTimeout (0 = off; set 3s to defeat slowloris)")
readTimeout := flag.Duration("read-timeout", 0, "Server.ReadTimeout (0 = off; whole-request read deadline)")
writeTimeout := flag.Duration("write-timeout", 0, "Server.WriteTimeout (0 = off)")
idleTimeout := flag.Duration("idle-timeout", 0, "Server.IdleTimeout (0 = off; set 30s to reclaim quiet keep-alives)")
maxHeaderBytes := flag.Int("max-header-bytes", http.DefaultMaxHeaderBytes, "Server.MaxHeaderBytes (1<<20 default)")
flag.Parse()
// NOTE: no -max-conns. Capping concurrent connections in the stdlib means
// wrapping the Listener (x/net/netutil.LimitListener) or a semaphore in the
// handler; we keep this zero-dependency and instead observe the ceiling the
// OS imposes (fds/backlog). See the README for the stdlib-only pattern.
ln, err := net.Listen("tcp", *addr)
if err != nil {
fmt.Fprintln(os.Stderr, "listen:", err)
os.Exit(1)
}
s := &server{ln: ln}
mux := http.NewServeMux()
mux.HandleFunc("/static", s.handleStatic)
mux.HandleFunc("/compute", s.handleCompute)
mux.HandleFunc("/sleep", s.handleSleep)
mux.HandleFunc("/healthz", func(w http.ResponseWriter, r *http.Request) { fmt.Fprintln(w, "ok") })
mux.HandleFunc("/stats", s.handleStats)
s.srv = &http.Server{
Handler: s.countInFlight(mux),
ReadHeaderTimeout: *readHeaderTimeout,
ReadTimeout: *readTimeout,
WriteTimeout: *writeTimeout,
IdleTimeout: *idleTimeout,
MaxHeaderBytes: *maxHeaderBytes,
ConnState: func(c net.Conn, st http.ConnState) {
switch st {
case http.StateNew:
s.acceptedTot.Add(1)
s.activeConns.Add(1)
case http.StateClosed, http.StateHijacked:
s.activeConns.Add(-1)
}
},
}
go func() {
if err := s.srv.Serve(ln); err != nil && err != http.ErrServerClosed {
fmt.Fprintln(os.Stderr, "serve:", err)
}
}()
fmt.Printf("serving on http://%s (timeouts: readHeader=%v read=%v write=%v idle=%v)\n",
ln.Addr(), *readHeaderTimeout, *readTimeout, *writeTimeout, *idleTimeout)
fmt.Println("point the client at it: go run ./98-http-server-experiments/client -mode idle -n 2000")
ctx, stop := signal.NotifyContext(context.Background(), os.Interrupt)
defer stop()
tick := time.NewTicker(time.Second)
defer tick.Stop()
for {
select {
case <-ctx.Done():
fmt.Println("\nshutting down")
shutCtx, cancel := context.WithTimeout(context.Background(), 2*time.Second)
defer cancel()
s.srv.Shutdown(shutCtx)
return
case <-tick.C:
snap := s.snapshot()
fmt.Printf("%s accepted_total=%d active=%d in_flight=%d goroutines=%d heap=%dMiB\n",
time.Now().Format("15:04:05"), snap.AcceptedTotal, snap.ActiveConns,
snap.InFlight, snap.Goroutines, snap.HeapBytes>>20)
}
}
}