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The benchmark runs an earlier pure-serve build in turn with the current one
(--baseline). Against the build before the move, linking through libpure.a
costs nothing: a one-command build with the library's object order has the
same size and the same CPU per request. What moved was code placement, so
the runtime links last again, as it did; the two orders now differ by less
than rounds of one build do (total -0.4%, page +1.2%, mixed -0.1%). The
binary is 5,008 B smaller: unused flow.c functions stay in the library, and
the linker's A53 erratum padding is gone.
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The app model, the tree store and the HTTP host lived in
prototypes/connections among the earlier document runtime, the store was
known only by its format's name, and Vega compiled six Pure sources by path.
Now, as the README's principle has it:
core/ runtime, flow and the app model (module*.c), with what the core
asks of storage (state.h, store.h)
store/ the tree store (PURETRE3, PUREREC1)
serve/ pure-serve: HTTP host, outbound delivery, JSON in place
cli/ pure-run, pure-edit-module
A top-level make builds libpure.a (app model and store, for hosts to link)
and the hosts; make check runs the store's and the app model's tests. The
earlier runtime still builds from prototypes/connections against core/ and
store/ (check, check-tree and check-core pass). Design 009 records the rule:
parts by role behind libraries; git repositories split by coupling, so the
store stays here while its contract moves with the core, and Vega stays apart.
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The app suite's last workload, mixed, runs two load generators at once:
8 connections post durable scores while 56 read the total. It shows
whether a server's reads wait while its writes sync. It is reported as
two rows, posts and reads; answers per CPU second count both.
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The scoreboard, 22 lines of aup served by its views and inputs, against
the same service written by hand in axum and drogon on the Pi: durable
posts about 76 times as many, reads level with drogon and ahead of axum
with the least CPU and memory. The note keeps what the profile showed on
the way (the kernel's share of a single thread, integers through printf,
an owner that saved too early) and what comes next. run.py gains
pure-serve-2 and waits for a server that prints its port before it
listens.
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run.py --suite app serves the scoreboard of scores.aup (22 lines of aup)
with pure-serve against the same scoreboard written by hand in axum and
drogon: POST /inputs/score?points=N with a name as the body, GET
/views/total and a page of 20 rows as JSON. Durable, the baselines append
each score to a log and fdatasync it before answering (replayed at
start); the load generator learns the three requests.
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A drogon 1.9 service with the axum baseline's contract joins the benchmark
(memory, fdatasync and crash-safe modes, three IO threads), built from
Debian's packages unpacked under .deps without installing them. drogon
listens once per event loop, so the service picks a free port itself:
with port 0 every loop got a port of its own and the load reached one.
The load generator has one core and saturates near 150k answers a second,
so the harness now also reports answers per second of server CPU time
(all threads). Over three rotated rounds: small GETs 151.6k/s on three
shards (drogon 145.3k, axum 120.9k) and 128k per CPU-second on one thread
(drogon 65k, axum 62k); 1 MiB GETs 2,794/s (axum 1,372, drogon 708);
crash-safe PUTs 5.1-5.8 times axum and 13-30 times drogon; peak RSS
5.0 MiB against 14.4 and 76.5 MiB. --workloads is now a regular expression.
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An SD card slows down under sustained syncs, so the order of runs alone
changed write results several times over. The HTTP benchmark now repeats
rounds with the servers in a rotated order, gives every run a fresh store,
times the device (an in-place 4 KiB write + fdatasync) before each write
workload and reports medians over rounds with the probe range beside them.
--workloads picks workloads by label prefix.
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A burst now looks at the store once (pure_store_pin) instead of once per
request; another shard's commit ends before its answer is sent, so a
request made after that answer still reads it. With this alone one thread
serves 125k small keep-alive reads per second, as many as axum on three
cores, with a shorter p99.
--threads N runs a shard per thread: its own SO_REUSEPORT listener, epoll
set, runtime domain, app and store handle. Writer sessions of the tree
store now take turns inside a process with a mutex (the file lock belongs
to the process and does not keep threads apart), and revisions settle
concurrent edits of a key. A module with states runs on one thread. Three
shards serve 151k reads per second; they still commit one by one, so
durable writes and 1 MiB reads are better on one thread for now, which
stays the default. Note 075 records the numbers.
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pure-serve replaces the module mode of server.c, which goes back to what
it was. It keeps the document contract, the runtime core (a work slot per
connection, the payload budget, core-owned ingress, borrowed PUT replies)
and the group commits, and adds what server.c lacked: HTTP/1.1 persistent
connections with in-order pipelining, an edge-triggered epoll owner
thread, up to 1,024 connections allocated as they arrive and reused, one
writev per answer, and documents opened through a store handle.
On the Pi 5 with one thread it serves 106k small keep-alive reads per
second (axum on three cores: 126k) at the same p99, 1,741 1 MiB reads
(axum: 1,370), and 1,126 durable writes from 64 connections (crash-safe
axum: 372), in 7.3 MiB against axum's 17-20 MiB. Note 075 has the table.
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A C load generator, an axum service with the same document contract (in
memory, fdatasync, and crash-safe replacement), and a runner that pins the
servers and the load to separate CPUs. On the Pi 5, Pure uses about 40%
less memory, wins with a new connection per request and with eight durable
writers (3.2x the crash-safe axum), but loses 5x on keep-alive reads and
1.5x on 64 durable writers: no persistent connections, one thread, eight
connection slots and two fsyncs per commit. Note 075 records the numbers
and the targets.
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