| Commit message (Collapse) | Author | Age | Files | Lines |
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searched without branches
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A fold whose kind has PURE_FOLD_SLICED (128), and a walk whose argument
has PURE_EACH_SLICED (bit 0), first take two numbers, a low and a high
key, and run for the items of their list (keyed by a number) whose keys
are from low up to before high, found by key: the range is the program's
meaning, not an optimization, so their blocks may fault (items out of the
slice never run). A fold a leaf at a time now leaves out the lanes of a
leaf outside the items it runs for, and a leaf that would fault runs item
by item over those items alone. Slices are neither shaped nor given
automatic ranges.
ranges now checks a count over a slice whose test divides (a division by
zero failing it only when inside the slice) against a model, the same on
the item-by-item path, and a walk over a slice.
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A filter, a fold or a walk's where (a test at the start of its block and a
jump to its end when it fails) that ANDs comparisons of a keyed list's key
with values reading no item gets a range at load (PureRange: a lower bound
GT or GE, an upper LT or LE, EQ both). When it runs, the bounds are found
once and looked up by key, and only the leaves between the two positions
are read: O(log n + k) where it read every item. A filter leaves the items
out of range out anyway, so it always may; a fold or a walk only when the
rest of its test and its value cannot fault (no division, sum or product
that may overflow, key or item that may be missing), since the items it
skips would have run them; a walk's bounds must also read no state, local
or list its block writes, as the where reads them anew for every item.
A bound that faults leaves the test to run for every item, as written.
A fold of kind 5 (distinct) counts the different values its included
items give (-0 as 0), with a set per fold; it runs a leaf at a time and
is never shaped. max, min and first alone fault over no item.
ranges checks, against the same module reading every item, over 60 lists
of up to 400 keyed items and 3,600 views: a count between two bounds, a sum
between a lower and an upper bound with another condition, first equal to
a key, min with the bound on the right, a count whose test may fault (no
range), a filtered table in bounds, 359 walks changing and removing the
items in bounds, and a walk whose body moves its bound (no range).
lane_folds now makes distinct folds too.
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LOCAL_LOAD and LOCAL_STORE name one of an event's 64 slots, what it holds
(a number, or an index of a list) and that list: slots start at 0 when an
event begins, are shared by its handlers, the walks in them and the folds
in those, and are never saved nor in the states' namespace. A handler uses
a slot for one thing, so its type is verified as a state's is; views have
no locals (IN_LOCALS: a handler's block, a walk in it, a fold in either;
stores only in a handler and its walks). A fold reading a local still runs
a leaf at a time (one value for every item) and a shaped fold takes one
only on its key's side. The signature table's where widens to 16 bits.
locals checks a handler that sums items into a local in a walk, counts in
a fold the items below it, keeps an index in a local and reads it back,
over 80 events against a model, and five refusals. server_rows' shop now
takes stock through an index local and counts in one.
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GET /views/name?argument=value gives a view that takes arguments its
arguments: the query as it came is kept on the request's work slot (it
outlives the connection, which may go before the view is shown), and when
the view is shown, on the connection thread from a snapshot or by the
owner, its pairs (values %XX decoded) are laid out as a payload of the
arguments' shape and given before the view is evaluated. from and count
still page a table. An argument missing, unknown, given twice, not of its
type or badly escaped answers 400 invalid. A registered query takes its
view's arguments the same way (GET /queries/name?k=4). An arguments input
is not an input to post to.
server_arguments opens 200 accounts, then asks 83 times against a model:
balances by key (404 no_value for a key not there), counts above an
argument, texts with &, =, % and non-ASCII shown back, a table filtered by
two arguments whose column folds with one, paged, counts by an owner's
name, a registered query with an argument, and six refusals. The format's
document (008) describes arguments.
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An input of the new kind 6 holds the arguments a view takes: fields as a
message has, no handler, the view's number where a key input names its
key, and the view's name with .args after it; one set a view, never a
column's (a table's columns and filter read the table's). The view, its
columns and filter, and the folds in them read their arguments with
FIELD, verified as a handler reads its message (IN_ARGUMENTS: reads, no
reply or document), and a fold anywhere may now read the message or
arguments of the block it is in: a handler's count(a in accounts where
a.bid == pay.bid) verifies.
pure_app_arguments gives a view's arguments as a payload of their shape
(placed as a message's fields); the view shows nothing until they are
given, and a filtered table keeps its rows for the arguments they were
made for. A text argument a view shows stays in the caller's payload
(FROM_ARGUMENTS), so it outlives the evaluation. A fold reading a number
argument still runs a leaf at a time (the same value for every item), and
a shaped fold takes arguments only on its key's side, so its pass does not
depend on them. Message fields are placed by one function for messages
and arguments.
view_arguments checks a keyed lookup by argument, a count above an
argument for 43 values against a model, a text argument shown back as it
is, a table filtered by an argument whose column folds with it (rows kept
per arguments), a handler's fold over its message, and five refusals.
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A rows field's JSON value is an array of objects naming the record's
fields (numbers, strings; a field left out takes its default). The
connection thread encodes them as the list's stored form, which may be
longer than the JSON, grows the request's input by that much
(pure_runtime_grow: charged to the payload budget as admission charges an
input, 503 payload_budget when it does not fit) and places them after the
body, so the owner still applies a message it need not parse. A message
whose only variable field is rows takes a body that is not JSON as those
rows in their stored form: a bulk insert without JSON. An API's answer
(--reply) gives rows the same way. A delivered batch holds no rows.
server_rows loads 30,000 stock rows in one JSON request (some 250,000
rows a second, against 6,500 with a request a row) and 20,000 more as
bytes, refuses a load with a key already there whole (409 exists), then
checks 400 random orders against a model (294 applied, 106 refused with
none of their rows applied), texts with escapes and Korean, a walk that
removes, and a restart that keeps every state and no rows.
The format's document (008) describes walks, rows fields and lists of
rows, and OUTER_ROW.
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EACH runs the block that follows in a handler once for every item its list
has when it begins, in order, with ROW the item: the block may change
states, the list's items (a field, or removing one) and other lists, but
may not insert into the list it walks, hold another walk or reply, so a
walk runs at most its items times its block. Removing the walked item, or
one before it, moves the walk with it, so no item is skipped. A fold in
the block reads the walked item as OUTER_ROW, as a fold in a column reads
its row. SQL's UPDATE ... WHERE and DELETE ... WHERE are a walk.
A message field may now be rows (type 5, naming a list state): records
laid out as the list's stored form, filling that list, whose flags hold
PURE_LIST_ROWS and whose name is the field's path (order.lines), when the
message arrives; rows that are not whole fail it (limit). A list of rows
is emptied when every event ends, is never saved, and its changes are not
logged for undoing, so a handler walks, folds and counts a message's rows
as any list, and may use one as a scratch table within its event. An
output has no rows. pure_list_clear lets a list's items go.
walks checks a shop against a model over 3,000 random events: orders
whose rows each take stock and are logged, all or nothing (997 applied,
1,322 failed and undone, by an item not stocked or not enough of it), and
a clean that walks the stock removing items (83 while walking, 32 of them
before the walked item). Nine refusals are checked, and 20,000 damaged
walk modules run safely with no rows left after any event; all under
ASan and UBSan too.
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091 measures four queries on pgbench's tables of 100,000 accounts, the
same rows and answers on Pure (registered queries, HTTP and JSON
included) and SQLite 3.46.1, through each step: items field by field in
leaves, folds and filters a leaf at a time, and one pass answering a fold
in a column for every row. Per-branch totals went from 398 ms to 4.9 ms
(SQLite 45, 14.3 with a DBA's indexes), a three-table join from 3.3 to
0.48 ms (1.47), and each rich account's rank from 9.2 s to 6.8 ms
(2.84 s, 7.6 ms with an index); counting accounts in credit takes 1.05 ms
where an index lets SQLite count 0.16 ms. Pure declares no index.
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A fold in a table's column runs once per row, over its whole list each
time: per branch, the sum of its accounts read all 100,000 accounts for
every branch, and per rich account, how many are richer read them all for
each of 404 accounts. At load, a planned fold in a column whose test
compares a field of its item with a key the row gives, the rest of it
reading only its list, its item and constants, gets a shape: a group (the
field equals the key) or a rank (a count of items whose field orders
against the key, and nothing else). The app then keeps one pass over the
list per fold and list version: a group pass runs the block a leaf at a
time with the comparison taken as true and the key left out, folding each
item into its field's group; a rank pass radix-sorts the field's values.
A row runs its key alone and looks it up. The pass is made at the second
row that asks, so a fold asked once scans once.
Answers are the fold's own: items join their group in order, so a sum
adds as it would; a key that faults leaves that row to run the fold as
written, and an item that would fault in the pass leaves every row to.
lane_folds now also makes shaped folds (185 groups, 127 ranks, 98 passes
made) and checks them against the same module run item by item.
On the bank of 100,000 accounts: per-branch totals 4.8 ms (16 ms before,
SQLite 46 ms, 14 ms with the index a DBA would add on branch and balance)
and each rich account's rank 6.7 ms (268 ms before, SQLite 2.84 s, 7.6 ms
with an index on balance), HTTP and JSON included on Pure's side. Pure is
given no index.
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A fold ran its block once per item through the interpreter, a call and a
lookup of the item each: counting 100,000 accounts took 4.7 ms and a
per-account rank over them 5.3 s. When every instruction of a fold's
block (or a table's filter) has a lane form, as numbers and indexes with
no branch and no text do, the module marks it at load, and the block
then runs for a leaf's items at once: a value is one per item (a leaf's
column read in place, or computed into a row per stack depth), the
items' positions, or one value for all. Lookups by a value for all items
are made once per fold, not per leaf. Leaves are walked with an iterator
that keeps its path (pure_list_next) and fetches the next leaf ahead.
The lanes only take what the interpreter would compute. Where an item
would fault (division by zero, a non-finite result, a key not found, an
index past the end, a clamp the wrong way round, a fractional move), the
whole leaf runs again item by item, so a fold faults, and a filter leaves
the item out, exactly as before; items join the fold in order, so a sum
adds as it did. lane_folds checks it: 300 rounds of random well-typed
folds in views, in a table's columns reading their row and in a handler
storing them, with a random filter, over random lists, answer bit for bit
as the same module run item by item, 920 faults included by kind and
instruction. list_trees now walks runs too.
On the bank of 100,000 accounts (benchmarks/bank/queries.py), against
the same SQL on SQLite 3.46.1: per-branch totals 16 ms (SQLite 46 ms),
accounts in credit 1.1 ms (6.2 ms), large transfers with their accounts
and tellers 0.77 ms (2.1 ms), each rich account's rank 268 ms (2.85 s),
HTTP and JSON included on Pure's side.
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An item was its own allocation (a share stamp and a cell per field) that
a leaf pointed to, so reading a field of items one after another chased a
pointer to wherever each was made: a count over 100,000 accounts built by
HTTP took 14.5 ms, against 4.6 ms after a restart laid them out in order.
A leaf now holds its items' cells field by field, numbers as binary64
arrays and texts as spans, and pure_list_run gives a leaf's columns to
read item after item.
Copy on write moves to the leaf: a change copies the path including its
leaf, whose texts stay shared; texts carry the share stamp items had, so
one a snapshot may read is retired, not freed. An event's log keeps a
removed item's cells until the event is kept or undone. A node split at
the end of the list leaves the full node full, so lists that grow at
their end (histories, keyed lists filled in key order) fill their leaves.
An account of three numbers and a text now takes 41 bytes in a leaf, not
some 130 across its allocation and the leaf's pointer.
The same count now takes 4.7 ms however the list was built, below
SQLite's 6.1 ms on the same rows. list_trees passes unchanged, and the
app model's tests under ASan and UBSan.
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PUT /queries/NAME takes a module compiled with aup query: the node loads
and verifies it, checks that its states are the app's (names, types,
records) and that it has a view NAME, and keeps it (64 at most; 409 for
another app's module, 400 for bytes that are no module, 404 without the
view). GET /queries/NAME?from=&count= shows that view from the last
save's snapshot with a reader of the query's module, as a declared view
is shown, so a query runs beside writes and sees one save whole. A query
registered again answers anew.
server_queries registers a per-branch total (a correlated fold), a join
of history rows with their accounts and tellers, each rich account's
rank and a filtered count, checks them against a model of the same
transfers, asks while transfers go on, pages, and checks the refusals.
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OUTER_ROW pushes the row of the column a fold's block runs for, as an
index of the column's list; ROW inside the block stays the fold's own
item. The verifier accepts it only in a fold's block inside a column,
naming that column's list (a fold in a handler, a plain view or a filter
has no outer row). So a column can hold a correlated fold: per branch,
the sum of its accounts; per account, how many are richer. aup compiles
the column's row inside a fold to it.
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benchmarks/bank/bank.aup keeps accounts, tellers and branches as keyed
lists and a history list; a transfer changes a row of each and appends a
history row in one event, as pgbench's TPC-B-like transaction does in
SQL. run.py makes a scale's rows and drives transfers through the load
generator's new transfer kind; sqlite-bank.c runs the same tables and
SQL on SQLite 3.46.1, a connection a thread, WAL.
With lists as trees, transfers run at 30.5k a second on 1,000 accounts
and 24.5k on 100,000 (RAM store, one connection thread, HTTP and JSON
included), where they ran at 3.2k on 30,000 before. Durable on the SD
card, Pure makes 1,339 a second and SQLite with synchronous=FULL 84 to
153. SQLite in process with no HTTP makes about 40k in RAM: recorded as
it is, with the write amplification of 100,000-row tables on the card
and ad hoc queries as what comes next.
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A list's stored form is one value in the tree store, so the limit on a
document (1.38 MiB, what a host carries whole as an HTTP body) capped a
table at about 51,000 rows of 28 bytes. A value the runtime owns, a state
(a key starting with '.') or a draft without a key, may now grow to 1 GiB;
documents keep their limit. The store's format is unchanged: its trees
already reach far past either.
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A list was one array of item pointers: an item's place in the stored form
was found by adding up the sizes of every item before it, so each change
and each appended row cost O(n); a snapshot copied a changed list's whole
array at each save; and a list held at most 65,536 items. A bank of
30,000 accounts ran transfers at 299 us of CPU each, and set up in time
growing with the square of its rows.
Items now live in a B+tree of fanout 32 whose nodes know the items below
them, their stored bytes and the first of them: positions, keys (keyed
lists) and stored offsets are found in O(log n). Nodes carry the list's
share count when made, as items do: one a snapshot may read never changes,
so a change copies the path to it and retires the nodes it replaced, and
a share is a root and a count. Reads in order go through a finger, each
thread's last leaf. A list may hold 2^24 items.
list_trees checks it against a model array: 6,000 events of inserts,
removals and field changes, 1,195 of them undone, up to 8,983 items (three
levels), the stored form equal byte for byte, four shares kept whole while
the list changes on, and 13,959 keyed items found by key as a binary
search finds them. The app model's tests pass under ASan and UBSan too.
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The roadmap's E2EE messenger made of the runtime's general parts, with
no messenger code in it: sealed, authenticated sessions between nodes
(086, 088), Vega on each node's display as a surface (design 010), the
app in Vega's examples. Vega's check runs two nodes through a recording
relay: a line typed on one display is drawn on the other, frames match
the vega command's, and the relay sees no text.
A line takes 0.79 ms at p50 and 1.1 ms at p99 from one node's program
to the other node's views with stores in RAM, both commits, the HTTP
delivery and the seal included (sealing adds nothing measurable); on the
Pi's SD card 3.5 ms at p50, the long tail being the card's syncs.
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pure-serve --surface LIBRARY [-- ARGUMENTS] maps a library and runs its
pure_surface_run in a thread of its own (serve/surface.h). The surface
reads the app as of the last save where it is, a published snapshot in a
reader app, as a connection thread reads views; an eventfd tells it of
each new snapshot; and its events (a key pressed, text typed) are
requests without a host in the owner's queue, applied and saved with the
round, their results handed back to the surface's waiter. So one node
serves programs over HTTP and people on its display with one owner of
its states, and nothing between the states and the screen. pure-serve
exports its pure_* functions for the surface to call, one copy of the
app model in the process; the table carries sizeof(PureApp) and
sizeof(PureModule) so a surface built for another layout refuses.
The check builds a probe surface that types, presses and reads: its
events show in HTTP views, an HTTP input shows in it, wrong inputs are
refused, it stops with the server, and a module without states cannot
have one. Without a surface the request path measured the same (small
GETs 140.9k vs 139.9k, app totals 126.3k vs 126.3k over eight rounds);
the exported symbols cost 11 KB of the file and 24 KiB idle.
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A sealed request cost three X25519 operations (about 0.5 ms), so sealed
sends drained at half the plain rate. A wire now keeps one HPKE context,
encapsulated at its first seal, and seals each request as the context's
next number (a failed seal or a restart starts a new session); the
header carries the session's encapsulated key and the number, so a
receiver opens a session once per connection thread (16 remembered, the
least used replaced) and each seal by its number, also after it restarts,
unasked. A sender with a key of its own seals in HPKE auth mode and names
that key in the header; a receiver started with --sender NAME=KEY takes
deliveries only from the senders it names, each sealed with its key
(403 sender otherwise). The body is now the ciphertext and its tag.
Sealed sends, sender authenticated, drain at 461-464k a second against
462-470k plain and 207-234k sealed a request at a time (Raspberry Pi 5).
The check adds: a wire's requests share one session numbered from 0; a
changed number or sender key does not open; a receiver restarted naming
its sender opens the same session again; another node claiming that
sender's name with its own key is refused and applies nothing.
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What the app model, snapshot reads and delivery had cost small reads
(126.7k -> 116.1k GETs a second) and idle memory (2.0 -> 4.5 MiB), how
the sampler found it, and the four steps and the crypto split that took
it back: 139.9k and 2.3 MiB. Measured again today beside axum 0.8.9 and
drogon 1.9.0 on the same Pi: a one-thread pure-serve answers small GETs
at 139k/s (2.2x axum and drogon a CPU second), 1 MiB GETs at 2,362/s
(axum 1,304, drogon 754), durable app writes at 21.3k/s (both about
200), with the least idle memory of the three.
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Linking OpenSSL cost every pure-serve 2.3 MiB of resident memory, 0.66
MiB of it the process's own (relocated data), though most servers never
reach an https receiver or seal a send. The code that uses OpenSSL (TLS
to https receivers, sealing) is now built as pure-crypto.so beside
pure-serve and exports one table; pure-serve maps it the first time a
wire to an https URL opens or a key is read or a seal wired
(serve/crypto.c), and a missing library is reported at startup. What
needs no OpenSSL, a key's hex and the suite this CPU seals with, stays in
pure-serve.
An idle server: RSS 4,496 -> 2,320 kB, PSS 1,639 -> 881 kB, private
dirty 1,296 -> 864 kB. A static OpenSSL was measured too and is worse
(RSS 3.8 MiB, but 2.3 MiB private: all of its tables relocated). The
checks, https webhooks and sealed sends included, pass unchanged.
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After answering, a connection went back to recv for its next request and
got EAGAIN nearly every time: a failed syscall a request. A recv that
returns less than it asked for has emptied the socket, and the
edge-triggered epoll reports the next bytes when they come (epoll(7); as
nginx does), so the connection now waits for that; a peer that hung up
is read to its end as before.
Small keep-alive GETs, 64 connections, five rounds in rotation
(Raspberry Pi 5): 131.9k/s before this step, 139.9k after. With the
three steps before it (a burst's keys in one look, the clock once a
round, the head without printf): 116.1k -> 139.9k/s, p99 672 -> 512 us,
above the 127.0k of 2026-09-26's build that the app model had since
slowed. App reads: the total 111.5k -> 125.4k/s, a 20-row page 86.2k ->
94.3k; 1 MiB reads and durable posts unchanged.
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Three snprintf calls a response (the head, its ETag and a delivery's
batch size) spent a sixth of a small read's user time in printf's
format scanning. The head is now written part by part, the same bytes
as before, clipped at the end of its buffer where snprintf's would-be
length could have sent bytes past it.
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A connection's deadline was counted from a fresh clock_gettime on every
read and write, three times a request, and every event took the wall
clock again: 5.7% of a small read's user time. A connection thread now
reads the monotonic clock once after each epoll_wait and deadlines count
from that (they are 10 s by default and swept every second), and a
round's events share the time it began.
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A message for a document scanned the burst's pending keys with strcmp to
see whether its key was there, and the host scanned the burst's earlier
requests the same way before each one: both quadratic in the burst (64
concurrent reads, about 31 compares each, twice). The app now indexes its
pending documents by key (open addressing over an FNV-1a hash, 1 KiB),
answers pure_app_pending in one look, and the host asks it; whether the
current event's document is pending is a flag instead of a scan by
pointer. Bursts split where they did, except that on an owner, which
applies a round's reads first, an edit of a key read in the same round
now splits the burst at the host rather than the app saving on its own.
A unit test checks the index at 200 keys.
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benchmarks/sample.c runs a command and samples where its threads spend
user time (the task clock every 50 us, one perf_event_open event a CPU,
since the kernel maps no ring for an inherited per-task event), then
names the samples from the ELF symbol tables of the files the command had
mapped: a stripped library from its debug file by build id. On arm64 it
also takes the link register, so time in a library's leaf (memcpy,
strcmp) is shown again by its caller. The command's user and system time
head the report.
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--seal OUTPUT=KEY seals each request's body whole to the receiving node's
public key with HPKE (RFC 9180, base mode: X25519, HKDF-SHA256, AES-128-GCM
where the CPU has AES, else ChaCha20-Poly1305), bound to the request's
source, first number and count; X-Pure-Seal names the suite. A receiver's
--key is a raw 32-byte file, made 0600 when missing, held in OpenSSL's
secure heap; it opens the body where it lies (400 seal when it does not
open) and zeroes the plain text when the request's ticket goes.
--sealed-only refuses unsealed deliveries (403 unsealed).
The check puts a recording relay between two apps: every order applies
once, no body shows an item or a field name, a flipped bit is refused, a
replayed request applies nothing twice, and a seal to another key does not
open. Its hosts choose their own ports (--port 0). Sealed sends drain at
233-235k a second against 469-470k plain (Raspberry Pi 5): three X25519
operations a request, 164 us each. The plain request path measured the
same as before.
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A batch went out as a write for its head, then a bracket or comma and the
send for each of its sends: two writes a send. Now the head and the whole
body are built in one buffer and written once. A receiver stopped while
20,000 sends piled up drained them at 91k sends a second before and at
470k after (three rounds each, Raspberry Pi 5). Writing the head apart
from the body measured the same (468k), so the gain is the body's; one
buffer is kept as the simpler of the two, and a lone send now leaves in
one segment instead of two.
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Commits grew the tree store's tail 256 KiB at a time, each growth a sync
that also committed the ext4 journal for the new size and blocks. A file
installed by compaction now carries written zeros up to where the next
compaction will come (4 x live + slack, plus a commit's margin), capped at
the size of the file it replaces, so a store never takes more space than
before and shrinks when its live data does. The cycle's commits then only
overwrite blocks the file has.
Store commits: 317.5 -> 385.5 a second, ext4 journal commits 109 -> 45 for
4,000 commits; durable app posts +5.3%, their p99 the same within this SD
card's noise. The new cycles test keeps sizes still between compactions
once the live data is whole, and shows the file shrinking with it.
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Nothing a thread can give: with writes saturated the device's one line of
syncs is the bottleneck, so zeroing the tail or compacting on another
thread only queues that device work behind the commits, and the owner's
idle gap is shorter than one journal commit. Built without compaction the
store is no faster; without compaction and without tail growth durable
posts gain 1.4% and the p99 drops 24% (17.4 to 13.3 ms). New blocks are the
tail latency, so the way to it is a store that rewrites its space in place,
a ring cleaned forward instead of compacted into new files.
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It would not, on this device. One file's syncs or four at once, the SD card
completes the same 510-690 commits per second, the latency growing with the
number of files. The scoreboard app with two owners, each with a store of
its own, took 23% fewer durable posts than one owner (median 16,230 against
20,974 a second) with 2-3x the p99: syncs queue, and each carries half the
events. One owner's group commit stays; cores serve reads, and writes grow
by making the sync itself cheaper.
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The HTTP host's end-to-end checks (documents against the earlier server,
lending, kill -9 durability, JSON, timers, links, webhooks and answers) sat
in aup's tests, so a change to the host was verified from the toolchain.
They now live in tests/check.py; make check builds their apps with the
sibling aup and runs them after the unit tests, which stay beside their
parts. Design 009 states the rule for all three repositories.
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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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After each save the owner walked the whole outbox to find the sends
not yet queued, so a receiver long down made every save walk the
backlog. pure_app_outbox_newest visits saved sends newest first, and
the owner stops once every wired output reaches the number it queued
last, then queues what it found in order.
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The final answer to each send of a wired output (a 2xx, or a 4xx but
408 and 429) becomes a message event of the given input: fields from
the answer's JSON object by name, other members skipped; a field the
answer lacks from the send's field of that name and type, so the
request's own id is there; a u32 http_status field is the status. It is
applied with the send's number from the wire's source, before the send
is trimmed and in the same save, so an answer that comes again after a
restart (the API repeating itself for the Idempotency-Key) applies once.
Sends that wait for answers go one per request; answers are saved with
the next round, or at once when none waits.
A server that writes an answer in pieces holds the second until the
first is acknowledged, and a delayed acknowledgement stalled every
answer 40 ms: the client now acknowledges at once (TCP_QUICKACK) after
each read. Against a payments API that answers 200 or 402, with the
sender killed (-9) midway, paid and declined orders matched the API's
answers one to one.
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The in-place JSON reader of pure-serve's request bodies moves into its
own file with a small interface (pure_json_message, pure_json_fixed,
pure_json_space), so the delivery client can read an API's answers
with it. It gains a lenient mode for answers: a member that names no
field is skipped, value and all. Requests read as before.
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A wire to an https:// URL speaks TLS 1.2 or later through OpenSSL: the
receiver's certificate must chain to the system's CAs (or to the file
--send-ca names) and name its host (SNI and SSL_set1_host, or the IP
address). An untrusted receiver gets nothing: the send stays in the
outbox, the wire logs it and tries again every 10 s. pure-serve now
links libssl and libcrypto.
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pure-serve --send OUTPUT=http://host:port/path wires an output: after
every save the owner queues the new sends as JSON (fields and groups)
and a thread per output posts them in order with X-Pure-Source,
X-Pure-Sequence and Idempotency-Key. A 2xx, or a Pure receiver's
refusal, delivers; the owner then trims. 408, 429, 5xx and no answer
are sent again after a pause growing to 10 s, other answers every 10 s:
nothing is dropped. A Pure receiver applies a delivered message with
pure_app_deliver (now taking placed fields) and advertises
X-Pure-Batch: 256; the sender then posts up to that many numbers in a
row as one JSON array (X-Pure-Count), applied in order in one burst
with one save.
Delivery kept up with orders once batched (391 deliveries/s one at a
time; a backlog of 20,000 went at 60k/s). With four clients ordering,
killing the receiver and then the sender (-9) left the receiver's count
and total equal to what the sender saved, five times and under ASan.
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An output (input kind 5) is a message the app sends; SEND (72) takes
an output's field values in order in a handler, lays them out as a
message's payload and keeps it, numbered per output from 1, with the
event's changes: a failed event sent nothing, and a failed save takes
back every send since the last save with its numbers. A host sees only
saved sends (pure_app_outbox) and trims what its receiver has saved
(pure_app_trim, gone with the next save). pure_app_deliver applies a
message from a named source once: a number heard before succeeds
without applying, a refused message counts as heard, a failed save
forgets what it heard.
Sends, numbers and heard numbers are the app's links state, stored
whole in one runtime document (PLK1) with the states, in the same
commit. Outputs follow their names across module changes; a module
that drops or retypes an output with sends left is refused, and a
dropped output's number is kept for when it returns. Killing the
process at every commit stage leaves an event and its send, or a
delivery and its effect, together or neither. pure-serve answers a
post to an output or a timer with 404 no_input.
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One connection thread for each CPU the process may run on (its
affinity, or the online CPUs), less the one the owner of an app with
states takes: three CPUs give two connection threads and the owner.
The default stays one thread.
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After a round that saved, the owner waited for 100 us without a new
request (1 ms at most) before the next round. Requests that queued up
during the save made that quiet start at once, so the clients just
answered missed the next round; the clients then settled into two
halves taking turns, each save carrying half of them. It showed with
two connection threads: 34 events a round and 15.8-16.0k posts/s with
64 connections, against about 61 and 22-24k/s with one or three. The
quiet now counts only once a request has come after the answers were
handed back: two threads carry 61.6 events a round, 22.9-23.9k/s.
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Measured with a build that grows its tail by 64 MiB once and never
compacts: durable posts +5-8% (64 connections), p99 about halved; the
slow syncs that remain come from the device.
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pure-serve no longer copies a JSON body's strings into the message's
payload. The ingress is the prefix, a table of each field's start and
size, and the body as it came; the connection thread scans the body
once, puts numbers into the prefix and records where each string is.
Only a string with escapes is unescaped, over itself (it never grows).
A group of fields comes as an object inside the body and, for a fixed
field, as its path in the query (?to.zip=7). A group where a field
belongs, a value where a group does, an array or true/false/null is
json_type; an unknown member, inside a group too, json_field.
The string scan and UTF-8 checks now pass over eight bytes at a time
while none needs a look (pure_utf8_step, so every text check gains).
On the Pi, posting {"name":"k","text":"x..."} to a stateless app went
from 652-655 to 3,737-3,953 requests/s with 256 KiB of text (server
CPU 1.52 to 0.25 ms a request, peak RSS 5.2 to 3.2-3.4 MiB) and from
29.1k to 76.3-76.7k/s with 4 KiB; the load generator gains a json
method and benchmarks/http/echo.aup is the app.
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