diff --git a/bench/cross-system/README.md b/bench/cross-system/README.md index afebfc9..3edb577 100644 --- a/bench/cross-system/README.md +++ b/bench/cross-system/README.md @@ -14,8 +14,9 @@ across all (selected) systems. |---|---|---| | gqlite (lazy backend) | [`gqlite/`](gqlite/) | ✅ implemented | | GraphQLite — colliery-io/graphqlite (Cypher, SQLite-backed) | [`graphqlite/`](graphqlite/) | ✅ implemented | -| GraphLite — GraphLite-AI/GraphLite (ISO GQL, Sled-backed) | — | not yet integrated | -| GQLite — webbery/gqlite (custom DSL, dead since April 2023) | — | not yet integrated | +| GQLite — auksys/gqlite, [gqlite.org](https://gqlite.org/) (OpenCypher, SQLite/Redb/Postgres backends; PyPI: `gqlitedb`) | [`auksys_gqlite/`](auksys_gqlite/) | ⚠ integration scaffolded; **fails to load LDBC SF0.1 in reasonable time** — see [`auksys_gqlite/DIVERGENCES.md`](auksys_gqlite/DIVERGENCES.md) | +| GraphLite — GraphLite-AI/GraphLite (ISO GQL, Sled-backed) | [`graphlite/`](graphlite/) | ⚠ integration scaffolded; **load hangs on the comments phase** — see [`graphlite/DIVERGENCES.md`](graphlite/DIVERGENCES.md) | +| GQLite — webbery/gqlite (custom DSL, dead since April 2023) | — | not integrated; `auksys/gqlite` above is the actively-maintained successor | ## Setup @@ -86,12 +87,19 @@ the comment-link explains. ## Reading the results -`comparison.txt` has three sections: +`comparison.txt` has four sections: +0. **Errored param rows** — for each system, the count of param rows + where any iter returned `result_count = -1` (sentinel for runner- + level failure: SDK error, panic, etc.). A high tally means the + latency table below is over a partial sample. The integrated-but- + blocked systems (graphlite, auksys_gqlite) document their failure + modes in their per-system DIVERGENCES.md. 1. **Per-cell summary** — for each (params_row, system) pair, median latency, p95, iter count, the result_count, and the result_shape (per-row type signatures, deduped — e.g. `i,s,s,i,s,i|i,s,s,i,n,i` - for IC2 where `c.content` is sometimes null). + for IC2 where `c.content` is sometimes null). Errored rows are + excluded. 2. **Count + shape consistency** — for each params_row, do all systems agree on row count AND per-row column types? Without ORDER BY the actual row contents legitimately differ (each system picks a @@ -99,7 +107,8 @@ the comment-link explains. types must match. `WARN` flags disagreement, which means a per-system query translation bug. 3. **Side-by-side latency** — one row per params_row, one column per - system, median ms. + system, median ms. Cells where a system errored out show as `--` + (no successful samples to median). ## Out of scope diff --git a/bench/cross-system/auksys_gqlite/DIVERGENCES.md b/bench/cross-system/auksys_gqlite/DIVERGENCES.md new file mode 100644 index 0000000..f8cc2d1 --- /dev/null +++ b/bench/cross-system/auksys_gqlite/DIVERGENCES.md @@ -0,0 +1,308 @@ +# auksys/gqlite (gqlite.org) — divergences and integration notes + +auksys/gqlite is included as the third external system in the cross-system +bench, after the teacher pointed at [gqlite.org](https://gqlite.org/). +It's distinct from the dead `webbery/gqlite` listed in the original plan +and from our own `gqlite/` — three different systems share the name. + +This file documents: +1. The integration choices and divergences from spec-faithful execution + that affect the bench numbers. +2. **The integration journey itself**, including approaches that didn't + work and why. This is here on purpose: the teacher's framing applies + to `auksys/gqlite` as much as to GraphLite — bench-time friction is + itself a finding worth reporting, and the trail of "what we tried" + matters as much as the final code. + +## What it is + +- Rust core, OpenCypher subset, with C / C++ / Python / Ruby / Crystal / Rune bindings. +- Multiple backends: **SQLite** (default), Redb, PostgreSQL. +- Active project; latest changelog entry is v0.9 (2026-04-09) for the + engine and v1.5 for the Python distribution. Author: Cyrille Berger + / auKsys org. +- PyPI distribution name: `gqlitedb`. Python module name: `gqlite`. + (There's a totally unrelated `gqlite` package on PyPI — a GraphQL + HTTP client — that name-squats the obvious slot. The wrong one + installs cleanly but exposes no `Connection` class. Smoke check: + `hasattr(gqlite, "execute_oc_query")`.) + +## What's in the comparison + +- Same LDBC SF0.1 dataset as every other system. +- Same 15 IC2 substitution-param rows. +- Same cross-system CSV schema, dispatched the same way as graphqlite + (Python runner, no shell wrapper). +- Native parameter binding via `Connection.execute_oc_query(query, bindings)` + with `$param` syntax in queries and `{"$param": value}` dicts. + +## Documented divergences from spec-faithful execution + +### 1. IC2 uses `WHERE c:Comment OR c:Post`, not `(c:Comment|Post)` + +auksys/gqlite supports the cleaner `(c:Comment|Post)` Cypher 5+ union- +label syntax in standalone patterns, but in **multi-hop patterns +containing it** the planner errors with `CompileTime: UnknownFunction: +get_source` (gqlitedb 1.5.1). Reproducer: the IC2 query exact shape + +```cypher +MATCH (a)-[:knows]-(b)<-[:hasCreator]-(c:Comment|Post) +``` + +triggers it, while replacing the terminal node with `(c)` and adding +`WHERE c:Comment OR c:Post` works fine. The OR-form is what graphqlite +uses for the same logical query (graphqlite's dialect rejects `:A|B` +entirely), so this matches the apples-to-apples shape across systems. + +### 2. No `CREATE INDEX` in the parser + +The Cypher parser does not accept any of the standard index-creation +syntaxes: + +```cypher +CREATE INDEX FOR (n:Person) ON (n.id) -- rejected +CREATE INDEX ON :Person(id) -- rejected +CREATE INDEX person_id IF NOT EXISTS FOR (n:Person) ON (n.id) -- rejected +CREATE INDEX FOR (n:Person) ON n.id -- rejected +``` + +Each fails with the same `expected node_pattern or edge_pattern` error, +because the parser handles `CREATE` only as the node/edge-creation form. +There is no DDL surface for indexes in v1.5.1. + +This is a real divergence from "Cypher" the spec — but it doesn't break +the bench because the bench's load idiom (see below) avoids needing one. + +### 3. Properties stored as JSON in a TEXT column → no per-property index + +Inspecting the underlying SQLite schema (from a freshly-loaded DB): + +``` +gqlite_default_nodes: + id INTEGER PRIMARY KEY -- internal node rowid + node_key BLOB -- 128-bit node key (returned by id(n)) + labels TEXT -- '["Person"]' + properties TEXT -- '{"id":1,"firstName":"Alice"}' +indexes: only the auto sqlite_autoindex on metadata +``` + +Property values live JSON-encoded in a single `TEXT` column. Without a +JSON-extract expression index (which Cypher CREATE INDEX would have to +generate), `MATCH (n:Person {id: X})` is a full table scan with JSON +parsing per row. The bench's data-load idiom sidesteps this entirely +by using fresh node-variables in the same statement (see below). At +query time, since IC2 starts with a single `(p:Person {id: $personId})`, +the engine eats one full scan per query — that's reflected in the +latency numbers. + +## Setup — what we tried before settling on the canonical idiom + +This is documented because the journey took ~2 hours, and the wrong +turns are themselves data points about the system's API ergonomics. + +### Attempt 1: per-row UNWIND batches with property-MATCH for edges + +```python +conn.execute_oc_query( + "UNWIND $rows AS r CREATE (:Person {id: r.id, ...})", + {"$rows": [...]}, +) +# ... then for edges: +conn.execute_oc_query( + "UNWIND $rows AS r " + "MATCH (a:Person {id: r.s}), (b:Person {id: r.d}) " + "CREATE (a)-[:knows]->(b)", + {"$rows": [...]}, +) +``` + +**Outcome:** nodes loaded in ~seconds (288K of them via the UNWIND +CREATE path; that part is fine). **Edges then ground for an hour +without making meaningful progress.** Each MATCH lookup is O(N) due +to the JSON-property storage (above), and the LDBC IC2 hasCreator +phase has 287K edges × 2 lookups each, giving roughly 180 billion +property comparisons. + +### Attempt 2: add `CREATE INDEX FOR (n:Person) ON (n.id)` before edges + +The textbook fix. **Doesn't work** — see divergence 2. The parser +rejects every index-creation syntax we tried. + +### Attempt 3: id_map dance — load nodes, RETURN id(n), use internal IDs + +```python +result = conn.execute_oc_query( + "UNWIND $rows AS r CREATE (p:Person {id: r.id, ...}) RETURN id(p), p.id", + {"$rows": [...]}, +) +# Build Python-side dict: ldbc_id → internal_id (128-bit) +# Then for edges: +conn.execute_oc_query( + "UNWIND $rows AS r " + "MATCH (a) WHERE id(a) = r.aid AND id(b) = r.bid " + "CREATE (a)-[:knows]->(b)", + {"$rows": [{"aid": ..., "bid": ...}]}, +) +``` + +The same trick the graphqlite Python API does internally (returns +external→rowid maps from its bulk loaders). **Killed before completion** +because we found a better way before the run finished — see Attempt 4. +Whether `MATCH (a) WHERE id(a) = $x` actually hits a fast path in this +engine is unclear; the `node_key` BLOB column has no SQLite index in +the schema we inspected, so it'd likely also be a scan, just without +JSON parsing. Faster than Attempt 1 but probably not by enough to +matter at SF0.1 scale. + +### Attempt 4 (the one that works): single big CREATE with shared variables + +This is the canonical idiom from auksys's own benchmarks. Their bench +crate (`crates/gqlitedb/benches/common/pokec.rs`) loads the Pokec +social-network dataset by reading the entire file +`pokec_*_import.cypher` into one string and passing it to +`execute_oc_query`. The file is shaped: + +```cypher +CREATE + (user_4826:User {id: 4826, age: 22, ...}), + (user_3317:User {id: 3317, age: 21, ...}), + ... + (user_4826)-[:Friend]->(user_3317), + (user_3317)-[:Friend]->(user_4502), + ... +``` + +**One CREATE statement.** Variables defined when nodes are created +(`user_4826`, etc.) are reused for edges *within the same statement*, +so the engine binds them directly — no MATCH lookup, no property scan. +The pokec_small_import.cypher they ship is 132K lines. + +This is what `setup.py` does today. For LDBC SF0.1: +- 1.5K Persons + 151K Comments + 136K Posts = 288K node patterns +- 28K knows × 2 + 287K hasCreator = 315K edge patterns +- ~600K total patterns, ~46 MB query string +- Python build time: ~2 seconds +- gqlite ingest time: TBD on this run, but should match their pokec + scale expectation since the shape is the same. + +### Why this took two hours + +Lazy debugging order. We probed the Python API surface, hit the +property-MATCH wall, tried index DDL, designed the id_map workaround, +ran half of it — and only THEN cloned the upstream repo to look at +how *they* benchmark. The upstream answer was sitting in +`crates/gqlitedb/benches/common/pokec.rs` the whole time. It would +have taken five minutes to read first. + +The lesson, written here so it sticks: **for any external system +in the cross-system bench, look at how the upstream's own benchmarks +load data before designing your loader.** The integration shape they +ship is almost certainly faster (and certainly more idiomatic) than +whatever you'd reverse-engineer from their public API. + +## Why even the canonical idiom doesn't scale to LDBC SF0.1 + +After Attempt 4 ran for ~10 minutes with the DB growing at ~440 KB/sec +and no end in sight, we did a deep source-and-issues review of the +upstream. Findings (with file:line citations, all paths relative to +`auksys/gqlite` repo at the dev/1 branch): + +1. **All "alternative" code paths converge at `execute_oc_query`.** + - The CLI's `.read FILE` (`crates/gqlitecli/src/main.rs`) reads + lines and calls `execute_oc_query`. No fast-import path. + - `gqlitebrowser` (web UI), `gqb` (query builder), `gqls` (ORM) + all wrap `execute_oc_query`. + - All five language bindings (Python, Ruby, Crystal, C++, Rune) + expose only `new` / `execute_oc_query` / `close`. + +2. **`Connection::builder().set_option(...)` accepts a fixed key set:** + `path`, `backend`, `url`, `host`, `user`, `password`. **No PRAGMA, + `journal_mode`, `synchronous`, cache-size, batch-mode, or + durability knobs.** (`crates/gqlitedb/src/connection.rs:225-310`) + +3. **SQLite is opened with library defaults** — + `crates/gqlitedb/src/store/sqlite.rs:265` calls + `rusqlite::Connection::open(&path)`. That gives you rollback + journal, `synchronous=FULL`, 2 MB cache, no mmap. **Per-row fsync + per commit.** + +4. **The schema has no index on the node key column.** The CREATE + TABLE template (`crates/gqlitedb/templates/sql/sqlite/graph_create.sql`) + has only `id INTEGER PRIMARY KEY` and a `node_key` BLOB. **No index + on `node_key`, none on `properties`, none on `labels`.** Every + `MATCH (n {id:X})` is a full-table scan with `json_extract` per + row. + +5. **Redb has the same shape.** `crates/gqlitedb/src/store/redb.rs:540-555`: + when matching by a property (`{id: X}`), it does + `nodes_table.range::(..)` — a full scan, then a + linear filter. Switching backend doesn't help. + +6. **The interpreter doesn't batch even when the storage trait would + allow it.** `crates/gqlitedb/src/interpreter/evaluators.rs:1275,1286`: + each CREATE pattern calls `store.create_nodes(&mut tx, &name, vec![&n])` + — a Vec of ONE. The Store trait accepts iterators but the + interpreter never gathers them. + +7. **The missing pieces are on the published roadmap, not shipped.** + Open GitLab issues at gitlab.com/auksys/GQLite (none merged): + - #169 — custom indexes + - #196 — streaming / pipeline execution + - #198 — refactor interpreter into a stream pipeline + - #200 — introduce logical planner + - #202 — deterministic planner + The README itself states: *"Development effort has now slowed down."* + +## Designed-for scale, by the project's own benchmarks + +The Pokec social-network benchmark in `crates/gqlitedb/benches/`: + +| File | Nodes | Friend edges | Bytes | Patterns | +|---|---|---|---|---| +| pokec_micro (smallest) | 138 | 138 | 17 KB | ~280 | +| **pokec_tiny (largest in bench enum)** | **4,538** | **12,681** | **870 KB** | **~17K** | +| pokec_small (file exists, not in `PokecSize`) | 10,000 | 121,716 | 5.6 MB | ~132K | +| **LDBC SF0.1 (us)** | **~289K** | **~315K** | **46 MB** | **~604K** | + +Their `PokecSize` enum is `{Micro, Tiny}` — `Small` exists as a file +but **isn't even part of their benchmark suite**. Their largest *run* +is 17K patterns. We're throwing **35× their benched scale at the +system, and 5× their largest data file**. There's no realistic +expectation this would work; it's past the cliff. + +## Verdict for the bench writeup + +`auksys/gqlite` v1.5.1 cannot load LDBC SF0.1 in reasonable time. +This isn't a configuration miss or a missing idiom — the deep review +confirmed via source citations that the architecture lacks property +indexes, lacks batched store calls, lacks SQLite tuning, and the +upstream acknowledges these as roadmap items. LDBC SF0.1 is the +**smallest** scale factor LDBC publishes; this system can't ingest +it. That's the finding. + +## Project signals + +- Active project. Last engine release v0.9 (2026-04-09); changelog + entries are recent and meaningful (parser rewrite, postgres + backend, schema generation). Sub-1.0, but moving. +- README: *"still in its early stage"* and *"Development effort has + now slowed down."* +- Multiple language bindings, multiple backends, gqlitebrowser web UI. + Breadth over depth — they shipped lots of surface area before + shipping the load/index machinery underneath. + +## What would change this story + +1. **Property indexes (issue #169)** — would let MATCH-by-property + scale. Today only the shared-variable single-CREATE trick avoids + needing one, and that trick doesn't scale past their tested + pokec_tiny. +2. **Batched interpreter (issue #198)** — would let the engine + amortize parse/plan/execute over many patterns instead of paying + per-row. +3. **`CREATE INDEX` in the parser** — fixes divergence 2. +4. **Fix the `(c:A|B)` planner bug in multi-hop patterns** — fixes + divergence 1. + +Until those land — none earlier than v0.10 per the roadmap — +auksys/gqlite is not a candidate for LDBC-scale benchmarks. diff --git a/bench/cross-system/auksys_gqlite/ic2.cypher b/bench/cross-system/auksys_gqlite/ic2.cypher new file mode 100644 index 0000000..983f3af --- /dev/null +++ b/bench/cross-system/auksys_gqlite/ic2.cypher @@ -0,0 +1,40 @@ +// OpenCypher translation of bench/ldbc-queries/ic2.toml for +// auksys/gqlite (gqlite.org, distribution `gqlitedb` on PyPI). +// +// Source-of-truth IC2 lives in that toml; this file is a language +// translation. Substitution placeholders use Cypher's $-prefixed +// parameter syntax — auksys/gqlite supports it natively via +// `Connection.execute_oc_query(query, bindings)` where `bindings` +// is a dict whose keys INCLUDE the `$` prefix (see DIVERGENCES.md). +// +// Divergences from spec, applied to every system for apples-to-apples: +// - no ORDER BY (gqlite parser doesn't support it; we drop it +// from this translation even though auksys/gqlite handles it +// fine — fairness with our own engine) +// - no `coalesce(c.content, c.imageFile)` — we return c.content +// directly (Comment+Post both have a `content` column in our +// loaded subset; the original LDBC spec uses imageFile only for +// image-only Posts which we don't represent) +// - lowercase :knows / :hasCreator (loader convention) +// +// Structural shape: one MATCH with a label-disjunction predicate. +// auksys/gqlite supports `(c:Comment|Post)` syntax in standalone +// patterns (Cypher 5+ feature) — but in multi-hop patterns +// containing it, the planner errors with +// `CompileTime: UnknownFunction: get_source` (gqlitedb 1.5.1). +// Reproducer is one MATCH with two named edges and a union-label +// terminal node: +// +// MATCH (a)-[:knows]-(b)<-[:hasCreator]-(c:Comment|Post) +// +// fails, while the same query with `(c)` and `WHERE c:Comment OR +// c:Post` works. We use the OR-form here, which is also what +// graphqlite uses for the same logical query (graphqlite's dialect +// doesn't accept `:A|B` at all). The structural shape — one MATCH +// then a label predicate — matches gqlite's `(c: Comment | Post)`. +MATCH (p:Person {id: $personId})-[:knows]-(friend:Person)<-[:hasCreator]-(c) +WHERE (c:Comment OR c:Post) AND c.creationDate <= $maxDate +RETURN friend.id AS friend_id, friend.firstName AS friend_firstName, + friend.lastName AS friend_lastName, + c.id AS c_id, c.content AS c_content, c.creationDate AS c_creationDate +LIMIT 20 diff --git a/bench/cross-system/auksys_gqlite/requirements.txt b/bench/cross-system/auksys_gqlite/requirements.txt new file mode 100644 index 0000000..37865ad --- /dev/null +++ b/bench/cross-system/auksys_gqlite/requirements.txt @@ -0,0 +1 @@ +gqlitedb>=1.5.1 diff --git a/bench/cross-system/auksys_gqlite/run.py b/bench/cross-system/auksys_gqlite/run.py new file mode 100644 index 0000000..c26e109 --- /dev/null +++ b/bench/cross-system/auksys_gqlite/run.py @@ -0,0 +1,285 @@ +#!/usr/bin/env python3 +"""Run a chosen IC against auksys/gqlite (gqlitedb on PyPI) for every +substitution-param row, emitting per-iter CSV in the cross-system +schema. + +Output schema (matches src/bin/ldbc_bench.rs): + query;backend;params;row;iter;result_count;elapsed_ns + +The `backend` column is fixed to `auksys-gqlite-cypher`. `params` is +the raw pipe-joined param row from the LDBC params file (used as the +join key against gqlite's CSV in compare_results.py). `row` is the +0-based param-row index. + +Per-IC inputs (all derived from the IC number): + bench/ldbc-queries/ic.toml — query metadata + bench/cross-system/auksys_gqlite/ic.cypher — Cypher translation + bench/data/substitution_parameters-sf0.1/.../ + bench/data/cross-system/auksys_gqlite/ic.db — pre-loaded DB + +Prereq: setup.py has been run (or will be auto-run) so the DB exists. + +Usage: + python run.py [--ic ] [--iters N] [--warmup N] +""" + +from __future__ import annotations + +import argparse +import sys +import subprocess +import time +from pathlib import Path + +try: + import gqlite + if not hasattr(gqlite, "connect") or not hasattr(gqlite, "Connection"): + raise ImportError("wrong gqlite package") +except ImportError: + sys.stderr.write( + "auksys/gqlite not importable. From this directory:\n" + " pip install -r requirements.txt\n" + "(distribution is `gqlitedb` on PyPI; module is `gqlite`. Do NOT\n" + " install the unrelated `gqlite` package — that's a GraphQL HTTP\n" + " client that just shares the name.)\n" + ) + sys.exit(1) + + +HERE = Path(__file__).resolve().parent +REPO_ROOT = HERE.parent.parent.parent + +PARAMS_DIR = ( + REPO_ROOT + / "bench/data/substitution_parameters-sf0.1/substitution_parameters-sf0.1" +) +DB_DIR = REPO_ROOT / "bench/data/cross-system/auksys_gqlite" +LDBC_QUERIES_DIR = REPO_ROOT / "bench/ldbc-queries" +BACKEND_LABEL = "auksys-gqlite-cypher" + + +def load_toml(path: Path) -> dict: + import tomllib + with path.open("rb") as f: + return tomllib.load(f) + + +def shape_of_value(v) -> str: + """Mirror of `shape_of_value` in src/bin/ldbc_bench.rs — keep in sync. + auksys/gqlite returns Python-native types from RETURN clauses + (int / float / str / None / list), so the standard mapping applies. + """ + if v is None: + return "n" + if isinstance(v, bool): + return "b" + if isinstance(v, int): + return "i" + if isinstance(v, float): + return "f" + if isinstance(v, str): + return "s" + if isinstance(v, list): + return "l" + return "r" + + +def shape_of_rows(rows: list[list], n_columns: int) -> str: + """Per-column type-set across all rows. Mirrors `shape_of_result` + in src/bin/ldbc_bench.rs: each column's distinct types join with + `/`, columns join with `,`. Example: `i,s,s,i,n/s,i` for IC2 when + `c.content` carries both Null and Str across the result set. + + `rows` here is the data-rows list (NOT including the column-name + header that auksys/gqlite prepends to every result). + """ + if not rows: + return "empty" + cols: list[set[str]] = [set() for _ in range(n_columns)] + for r in rows: + for i in range(min(n_columns, len(r))): + cols[i].add(shape_of_value(r[i])) + return ",".join("/".join(sorted(s)) for s in cols) + + +def verify_shape(actual: str, expected: str) -> str | None: + """Mirror of `verify_shape` in src/bin/ldbc_bench.rs. Returns + None if actual ⊆ expected per column, else a short diagnosis. + """ + a = [set(c.split("/")) for c in actual.split(",")] + e = [set(c.split("/")) for c in expected.split(",")] + if len(a) != len(e): + return f"column count: actual={len(a)}, expected={len(e)}" + for i, (ac, ec) in enumerate(zip(a, e)): + if not ac.issubset(ec): + extras = sorted(ac - ec) + return f"col {i}: actual {sorted(ac)} not subset of expected {sorted(ec)} (extra: {extras})" + return None + + +def load_query(path: Path) -> str: + """Read the Cypher query, stripping leading // comment lines so + they don't get sent to the engine. + """ + out_lines = [] + in_comment_block = True + for line in path.read_text(encoding="utf-8").splitlines(): + if in_comment_block and (line.startswith("//") or not line.strip()): + continue + in_comment_block = False + out_lines.append(line) + return "\n".join(out_lines).strip() + + +def load_params(path: Path) -> tuple[list[str], list[list[str]]]: + with path.open(encoding="utf-8") as f: + lines = [ln.rstrip("\n\r") for ln in f if ln.strip()] + if len(lines) < 2: + raise RuntimeError(f"params file too short: {path}") + header = lines[0].split("|") + data = [ln.split("|") for ln in lines[1:]] + return header, data + + +def coerce(s: str) -> int | str: + try: + return int(s) + except ValueError: + return s + + +def derive_columns(return_columns: list[str]) -> list[str]: + return [c.replace(".", "_") for c in return_columns] + + +def run_query(conn, query: str, bindings: dict) -> tuple[list[str], list[list]]: + """Execute, then split result into (column_names, data_rows). + auksys/gqlite returns `[[col_names], [row1...], [row2...]]` for + queries with RETURN; we split into header+rows so the rest of the + runner sees the same shape as graphqlite's row-of-dicts. + """ + raw = conn.execute_oc_query(query, bindings) + if not raw: + return [], [] + header = raw[0] + rows = raw[1:] + return header, rows + + +def main() -> int: + ap = argparse.ArgumentParser() + ap.add_argument("out_csv", type=Path) + ap.add_argument("--ic", type=int, default=2, + help="LDBC IC number (default: 2)") + ap.add_argument("--iters", type=int, default=10) + ap.add_argument("--warmup", type=int, default=2) + args = ap.parse_args() + + if args.iters < 1: + sys.stderr.write("--iters must be >= 1\n") + return 1 + + ic = args.ic + toml_path = LDBC_QUERIES_DIR / f"ic{ic}.toml" + query_file = HERE / f"ic{ic}.cypher" + db_path = DB_DIR / f"ic{ic}.db" + + if not toml_path.is_file(): + sys.stderr.write(f" toml missing: {toml_path}\n") + return 1 + if not query_file.is_file(): + sys.stderr.write( + f" cypher translation missing: {query_file}\n" + f" (write it as a translation of {toml_path})\n" + ) + return 1 + + toml = load_toml(toml_path) + if toml.get("status") != "implemented": + sys.stderr.write( + f" ic{ic}.toml status is {toml.get('status')!r}, not 'implemented'. " + f"Skipping.\n" + ) + return 0 + + params_file = PARAMS_DIR / toml["params_file"] + if not params_file.is_file(): + sys.stderr.write( + f" params file missing: {params_file}\n" + f" run ./target/release/bench_setup from the repo root first.\n" + ) + return 1 + + expected_shape = toml.get("expected_shape") + columns = derive_columns(toml.get("return_columns", [])) + query_label = f"IC{ic}" + + if not db_path.exists(): + sys.stderr.write( + f" auksys/gqlite db missing: {db_path}\n" + f" running setup.py to build it (one-time, ~minutes)...\n" + ) + rc = subprocess.run( + [sys.executable, str(HERE / "setup.py"), "--ic", str(ic)], + cwd=str(REPO_ROOT), + ).returncode + if rc != 0: + sys.stderr.write(f" setup.py failed with code {rc}\n") + return rc + + query = load_query(query_file) + header, params_rows = load_params(params_file) + sys.stderr.write( + f" auksys/gqlite ic{ic}: {len(params_rows)} param rows × {args.iters} iters " + f"(+ {args.warmup} warmup)\n" + ) + + conn = gqlite.connect(str(db_path)) + + with args.out_csv.open("w", encoding="utf-8", newline="") as out: + out.write("query;backend;params;row;iter;result_count;elapsed_ns\n") + + for row_idx, raw_row in enumerate(params_rows): + # bindings dict keys MUST include the `$` prefix per auksys/gqlite + # 1.5.1 convention — see DIVERGENCES.md. + param_dict = {f"${col}": coerce(val) for col, val in zip(header, raw_row)} + joined = "|".join(raw_row) + + for _ in range(args.warmup): + run_query(conn, query, param_dict) + + iter0_rows = None + elapsed_ns = 0 + for n in range(args.iters): + t = time.perf_counter_ns() + _hdr, rows = run_query(conn, query, param_dict) + elapsed_ns = time.perf_counter_ns() - t + out.write( + f"{query_label};{BACKEND_LABEL};{joined};{row_idx};{n};" + f"{len(rows)};{elapsed_ns}\n" + ) + if n == 0: + iter0_rows = rows + + actual_shape = shape_of_rows(iter0_rows or [], len(columns)) + actual_count = len(iter0_rows or []) + if expected_shape is None: + status = "no-expected" + else: + why = verify_shape(actual_shape, expected_shape) + status = "ok" if why is None else f'fail reason="{why}"' + sys.stderr.write( + f" SHAPE row={row_idx} count={actual_count} " + f"shape={actual_shape} status={status}\n" + ) + sys.stderr.write( + f" row {row_idx}: rc={actual_count} " + f"last_iter_ms={elapsed_ns / 1e6:.2f}\n" + ) + + sys.stderr.write(f" done -> {args.out_csv}\n") + return 0 + + +if __name__ == "__main__": + raise SystemExit(main()) diff --git a/bench/cross-system/auksys_gqlite/setup.py b/bench/cross-system/auksys_gqlite/setup.py new file mode 100644 index 0000000..2596df2 --- /dev/null +++ b/bench/cross-system/auksys_gqlite/setup.py @@ -0,0 +1,258 @@ +#!/usr/bin/env python3 +"""Load the IC2-relevant subset of LDBC SNB SF0.1 CSVs into an +auksys/gqlite SQLite-backed database (gqlitedb on PyPI, gqlite.org). + +IC2 only references these node/edge types: + - Person nodes (id, firstName, lastName) + - Comment nodes (id, creationDate, content) + - Post nodes (id, creationDate, content) + - knows edges (Person—Person, both directions materialized) + - hasCreator edges (Comment→Person, Post→Person) + +Output: `bench/data/cross-system/auksys_gqlite/ic2.db`. Idempotent; +pass --force to rebuild. + +Loading idiom — taken from auksys/gqlite's own pokec benchmark +(`crates/gqlitedb/benches/common/pokec.rs` calls +`execute_oc_query(import_query)` with the whole content of +`pokec_*_import.cypher` as one string). The idiom is a SINGLE big +`CREATE` statement with comma-separated patterns. Variables bound +in node patterns (`(p_933:Person {id: 933, ...})`) are reused in +subsequent edge patterns (`(p_933)-[:knows]->(p_1129)`) WITHIN THE +SAME STATEMENT — no MATCH lookup needed, so the load is O(N) instead +of the O(N²) you get if you split nodes and edges into separate +statements that have to look up endpoints by property value. + +We still chunk into ~10K-pattern statements to keep memory bounded +and to give progress feedback. Within each chunk we emit nodes and +THEIR adjacent edges together so cross-chunk edges still need a +MATCH — that's a small fraction of total edges in LDBC, kept +proportional via the chunk grouping. For SF0.1 we just emit all +nodes in chunk 1, all edges referencing them in chunks 2..N (where +the variable names are gone), but since we only emit edges in the +same chunk as both their endpoint variables, we can't do that +across chunks. So the simplest correct version is: ONE CHUNK per +load_*. We rely on gqlitedb being able to digest a multi-MB CREATE +(their own pokec_small_import.cypher is 132K lines / multi-MB). + +Variable naming: `p_` for Person, `c_` for Comment, +`po_` for Post. Tracked because edges later reference these. + +Usage: + python setup.py [--ic 2] [--force] [--csv-dir ] [--db ] +""" + +from __future__ import annotations + +import argparse +import csv +import os +import sys +import time +from pathlib import Path + +try: + import gqlite # noqa: F401 + if not hasattr(gqlite, "connect") or not hasattr(gqlite, "Connection"): + raise ImportError("wrong gqlite package") +except ImportError: + sys.stderr.write( + "auksys/gqlite not importable. From this directory:\n" + " pip install -r requirements.txt\n" + "(distribution is `gqlitedb` on PyPI; module is `gqlite`. Do NOT\n" + " install the unrelated `gqlite` package — that's a GraphQL HTTP\n" + " client that just shares the name.)\n" + ) + sys.exit(1) + + +HERE = Path(__file__).resolve().parent +REPO_ROOT = HERE.parent.parent.parent + +DEFAULT_CSV_DIR = REPO_ROOT / "bench/data/ldbc-sf0.1/social_network-sf0.1-CsvBasic-LongDateFormatter/dynamic" +DEFAULT_DB_DIR = REPO_ROOT / "bench/data/cross-system/auksys_gqlite" + +SUPPORTED_ICS = {2} + + +def quote(s: str) -> str: + """Escape a string for inclusion as a Cypher single-quoted literal. + Uses backslash-escape for both `\\` and `'` (auksys/gqlite's lexer + follows OpenCypher's standard escape; doesn't accept SQL-style `''`). + """ + out = ["'"] + for c in s: + if c == "\\": + out.append("\\\\") + elif c == "'": + out.append("\\'") + elif c == "\n": + out.append("\\n") + elif c == "\r": + out.append("\\r") + else: + out.append(c) + out.append("'") + return "".join(out) + + +def emit_node(buf: list[str], var: str, label: str, props: dict) -> None: + parts = [] + for k, v in props.items(): + if isinstance(v, str): + parts.append(f"{k}: {quote(v)}") + else: + parts.append(f"{k}: {v}") + buf.append(f" ({var}:{label} {{{', '.join(parts)}}})") + + +def emit_edge(buf: list[str], src_var: str, rel: str, dst_var: str) -> None: + buf.append(f" ({src_var})-[:{rel}]->({dst_var})") + + +def read_csv_dict(path: Path): + with path.open(encoding="utf-8") as f: + yield from csv.DictReader(f, delimiter="|") + + +def read_csv_rows(path: Path): + with path.open(encoding="utf-8") as f: + reader = csv.reader(f, delimiter="|") + next(reader, None) # header + for r in reader: + if r: + yield r + + +def main() -> int: + ap = argparse.ArgumentParser() + ap.add_argument("--ic", type=int, default=2) + ap.add_argument("--force", action="store_true") + ap.add_argument("--csv-dir", type=Path, default=DEFAULT_CSV_DIR) + ap.add_argument("--db", type=Path, default=None) + args = ap.parse_args() + + if args.ic not in SUPPORTED_ICS: + print( + f"setup.py only supports IC(s) {sorted(SUPPORTED_ICS)}; got ic{args.ic}", + file=sys.stderr, + ) + return 1 + + csv_dir: Path = args.csv_dir + db_path: Path = args.db or (DEFAULT_DB_DIR / f"ic{args.ic}.db") + + if not csv_dir.is_dir(): + print(f"CSV dir not found: {csv_dir}", file=sys.stderr) + return 1 + + if db_path.exists() and not args.force: + print(f" cached: {db_path} (pass --force to rebuild)", file=sys.stderr) + return 0 + + if db_path.exists() and args.force: + db_path.unlink() + db_path.parent.mkdir(parents=True, exist_ok=True) + + print(f" building {db_path} from {csv_dir}", file=sys.stderr) + t0 = time.perf_counter() + + # Build the single CREATE statement in memory. Each pattern is + # one line in the buffer. We end up with ~600K patterns total and + # ~50-100 MB string. That's the same scale as auksys's own + # pokec_small_import.cypher (132K lines) — they ship that and + # their CI runs it via execute_oc_query, so it's the supported path. + print(" building Cypher import statement...", file=sys.stderr) + t_build = time.perf_counter() + buf: list[str] = ["CREATE"] + + # ---- Persons ---- + n_persons = 0 + for r in read_csv_dict(csv_dir / "person_0_0.csv"): + var = f"p_{r['id']}" + emit_node(buf, var, "Person", { + "id": int(r["id"]), + "firstName": r["firstName"], + "lastName": r["lastName"], + }) + n_persons += 1 + print(f" persons: {n_persons} patterns staged", file=sys.stderr) + + # ---- Comments ---- + n_comments = 0 + for r in read_csv_dict(csv_dir / "comment_0_0.csv"): + var = f"c_{r['id']}" + emit_node(buf, var, "Comment", { + "id": int(r["id"]), + "creationDate": int(r["creationDate"]), + "content": r.get("content", ""), + }) + n_comments += 1 + print(f" comments: {n_comments} patterns staged", file=sys.stderr) + + # ---- Posts ---- + n_posts = 0 + for r in read_csv_dict(csv_dir / "post_0_0.csv"): + var = f"po_{r['id']}" + emit_node(buf, var, "Post", { + "id": int(r["id"]), + "creationDate": int(r["creationDate"]), + "content": r.get("content", ""), + }) + n_posts += 1 + print(f" posts: {n_posts} patterns staged", file=sys.stderr) + + # ---- knows edges (both directions) ---- + n_knows = 0 + for r in read_csv_rows(csv_dir / "person_knows_person_0_0.csv"): + s, d = r[0], r[1] + emit_edge(buf, f"p_{s}", "knows", f"p_{d}") + emit_edge(buf, f"p_{d}", "knows", f"p_{s}") + n_knows += 2 + print(f" knows edges: {n_knows} patterns staged (both directions)", + file=sys.stderr) + + # ---- hasCreator (Comment → Person) ---- + n_cc = 0 + for r in read_csv_rows(csv_dir / "comment_hasCreator_person_0_0.csv"): + emit_edge(buf, f"c_{r[0]}", "hasCreator", f"p_{r[1]}") + n_cc += 1 + print(f" comment hasCreator edges: {n_cc} patterns staged", + file=sys.stderr) + + # ---- hasCreator (Post → Person) ---- + n_pc = 0 + for r in read_csv_rows(csv_dir / "post_hasCreator_person_0_0.csv"): + emit_edge(buf, f"po_{r[0]}", "hasCreator", f"p_{r[1]}") + n_pc += 1 + print(f" post hasCreator edges: {n_pc} patterns staged", + file=sys.stderr) + + # Join with `,\n` between patterns. The first element is the bare + # `CREATE` keyword (no comma after); patterns 1..N each get a + # leading two-space indent already. + query = buf[0] + "\n" + ",\n".join(buf[1:]) + n_total_patterns = len(buf) - 1 + qsize_mb = len(query) / (1024 * 1024) + elapsed_build = time.perf_counter() - t_build + print( + f" staged {n_total_patterns} patterns in {qsize_mb:.1f} MB query " + f"({elapsed_build:.1f}s)", + file=sys.stderr, + ) + + # Execute as one big query (auksys/gqlite's canonical bulk-load idiom). + print(" executing single CREATE statement...", file=sys.stderr) + t_exec = time.perf_counter() + conn = gqlite.connect(str(db_path)) + conn.execute_oc_query(query) + elapsed_exec = time.perf_counter() - t_exec + print(f" execute_oc_query: {elapsed_exec:.1f}s", file=sys.stderr) + + elapsed = time.perf_counter() - t0 + print(f" done in {elapsed:.1f}s. db at {db_path}", file=sys.stderr) + return 0 + + +if __name__ == "__main__": + raise SystemExit(main()) diff --git a/bench/cross-system/compare_results.py b/bench/cross-system/compare_results.py index aa9fbe8..4fad476 100644 --- a/bench/cross-system/compare_results.py +++ b/bench/cross-system/compare_results.py @@ -65,6 +65,12 @@ def main() -> int: by_cell: dict[tuple[int, str], list[tuple[int, int]]] = defaultdict(list) raw_params_by_row: dict[int, str] = {} queries_seen: set[str] = set() + # Per-system error tally. A CSV row with `result_count == -1` is a + # sentinel emitted by a runner whose query failed (panic, error, + # whatever); we count those separately and exclude them from the + # latency / count summaries below. + errors_by_system: dict[str, int] = defaultdict(int) + error_rows_by_system: dict[str, set[int]] = defaultdict(set) with path.open() as f: reader = csv.DictReader(f, delimiter=";") @@ -77,20 +83,54 @@ def main() -> int: print(f" ! malformed row, skipping: {e} :: {r}", file=sys.stderr) continue backend = r["backend"] - by_cell[(row_idx, backend)].append((elapsed, rc)) - raw_params_by_row.setdefault(row_idx, r["params"]) queries_seen.add(r.get("query", "")) + raw_params_by_row.setdefault(row_idx, r["params"]) + if rc < 0: + errors_by_system[backend] += 1 + error_rows_by_system[backend].add(row_idx) + continue + by_cell[(row_idx, backend)].append((elapsed, rc)) - if not by_cell: - print("no rows found in input — nothing to compare.", file=sys.stderr) + if not by_cell and not errors_by_system: + print("no rows found in input -- nothing to compare.", file=sys.stderr) return 1 - systems = sorted({b for (_, b) in by_cell.keys()}) - rows = sorted({r for (r, _) in by_cell.keys()}) + # Systems set is the union of "any successful row" and "any errored row", + # so a system that errored on every param row still shows up in tables + # (with a column of dashes) instead of vanishing silently. + systems = sorted( + {b for (_, b) in by_cell.keys()} | set(errors_by_system.keys()) + ) + rows = sorted( + {r for (r, _) in by_cell.keys()} + | {r for s in error_rows_by_system.values() for r in s} + ) query_label = sorted(queries_seen).pop() if len(queries_seen) == 1 else ( ",".join(sorted(queries_seen)) if queries_seen else "?" ) + # ---- 0. Errored-row tally per system ---- + # Surface this BEFORE the per-cell table because a high error count means + # the latency numbers below are over a partial sample. Per-system + # divergences (e.g. graphlite/DIVERGENCES.md) document why a system + # might error. + print(f"=== Errored param rows [{query_label}] (sentinel result_count = -1) ===") + print() + if not errors_by_system: + print(" none -- every system answered every param row.") + else: + for s in systems: + n_iters = errors_by_system.get(s, 0) + n_rows = len(error_rows_by_system.get(s, set())) + if n_iters == 0: + continue + erows = sorted(error_rows_by_system.get(s, set())) + print( + f" {s:<22} {n_rows} param row(s) errored " + f"({n_iters} sentinel iter(s)): rows={erows}" + ) + print() + # ---- 1. 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"b8848ee67ecc8aedbaf3e4122217aff892639231befc6a1b58d29fff4c2cabaa" diff --git a/bench/cross-system/graphlite/Cargo.toml b/bench/cross-system/graphlite/Cargo.toml new file mode 100644 index 0000000..7cf3ead --- /dev/null +++ b/bench/cross-system/graphlite/Cargo.toml @@ -0,0 +1,28 @@ +[package] +name = "graphlite-bench" +version = "0.0.0" +edition = "2021" +publish = false +description = "Cross-system bench harness for GraphLite-AI/GraphLite. Loads LDBC SF0.1 into a Sled-backed GraphLite database and runs the chosen IC, emitting per-iter CSV in the cross-system schema." + +# Standalone, NOT a workspace member of the parent gqlrust crate. +# Keeping it isolated means graphlite-rust-sdk's deps don't pollute +# the main crate's lockfile, and someone who only wants to bench +# gqlite + graphqlite doesn't have to compile this. + +[workspace] + +[[bin]] +name = "graphlite-setup" +path = "src/setup.rs" + +[[bin]] +name = "graphlite-run" +path = "src/run.rs" + +[dependencies] +graphlite-rust-sdk = "0.0.1" +csv = "1" +toml = "0.8" +serde = { version = "1", features = ["derive"] } +clap = { version = "4", features = ["derive"] } diff --git a/bench/cross-system/graphlite/DIVERGENCES.md b/bench/cross-system/graphlite/DIVERGENCES.md new file mode 100644 index 0000000..942c737 --- /dev/null +++ b/bench/cross-system/graphlite/DIVERGENCES.md @@ -0,0 +1,283 @@ +# GraphLite-AI/GraphLite — divergences from spec-faithful execution + +GraphLite is included as the third system in the cross-system bench, +but we had to make several concessions to get LDBC SF0.1 data through +its loader and IC2 through its query engine. This file documents each +concession plain — readers should know what's in the comparison +numbers and what isn't. + +The teacher's read on this is right: bench-time bugginess of an external +system is itself a finding worth reporting. We run the queries that +succeed, and `compare_results.py` surfaces a per-system error count +alongside the latency table so failures are visible, not hidden. + +## What's in the comparison + +- Same LDBC SF0.1 dataset (`bench/data/ldbc-sf0.1/...`) as the other + systems consume. +- Same 15 IC2 substitution-param rows, same `personId|maxDate` columns, + same per-row `RETURN`. +- Latency measured with the same cross-system CSV schema + (`query;backend;params;row;iter;result_count;elapsed_ns`), so the + comparison code treats all three systems identically. + +## What's divergent + +### 1. Non-ASCII string content is dropped at load time + +GraphLite 0.0.1's lexer (`graphlite-0.0.1/src/ast/lexer.rs:488`) slices +into a UTF-8 string by byte offset (`&input[..N]`) during keyword +detection without checking `is_char_boundary`. Any non-ASCII byte +that lands inside a multi-byte char triggers a panic before the parser +or planner even see the input. + +LDBC SF0.1 includes names like "Amenábar" and content with accented +characters; without intervention the loader panics on the first such +row (~10% of `Person` and a similar fraction of `Comment` / `Post`). + +**What we do:** `setup.rs` calls `ascii_only(&str)` on every string +property before formatting the INSERT. Non-ASCII chars are dropped: +"Amenábar" → "Amenbar". The escape function (`quote`) sees ASCII-only +input and the lexer is happy. + +**Why this is acceptable for IC2:** IC2 doesn't `WHERE`-filter on +string content — it only RETURNs `friend.firstName`, `friend.lastName`, +`c.content`. Row counts, column types, and join structure all stay +intact. The only thing affected is the *contents* of returned name / +content fields, which our `compare_results.py` doesn't compare on +(it checks counts and column-type signatures, not row values). + +**Why this is NOT acceptable in general:** for any IC that filters +on a string property (e.g. `WHERE friend.firstName = 'María'`), the +ASCII-folded data would silently miss matches. We'd need to either fix +the underlying lexer bug or ASCII-fold the query parameters too. IC2 +is the only IC currently `status = "implemented"` in our toml, and it's +not a string-filter query, so the issue doesn't bite. + +### 1b. String literals: backslash-escape only + +GraphLite's lexer (`graphlite-0.0.1/src/ast/lexer.rs::escaped_string_content`) +recognises `\'` as the only way to embed a single quote in a `'...'`-quoted +string. SQL-style `''` doubling is NOT recognised — the lexer terminates +the string at the first inner `'` and the rest of the statement becomes +garbage tokens. Symptom on bulk-insert: every row whose content contains +an apostrophe (e.g. LDBC's `BBC's` or names like `O'Brien`) fails the +NEXT statement's parse with `Parse error: UnexpectedToken(Insert)`, +because the lexer's earlier confusion bleeds into the next read. + +**What we do:** `setup.rs::quote()` writes `\'` (and escapes any literal +backslashes as `\\`) for every embedded apostrophe in property values. +Keeps load throughput intact — only ~5 rows in the SF0.1 comments file +were affected, but in a larger dataset (SF1+) we'd lose thousands. + +This is documented for completeness; it doesn't compromise bench +fidelity since query content goes through the same engine that decoded +it on insert. + +### 2. `USE SCHEMA` / `USE GRAPH` are rejected by the parser + +Documented quick-start usage: +```rust +session.execute("USE SCHEMA myschema")?; +session.execute("USE GRAPH social")?; +``` + +Parser rejects `USE`: +``` +Parse error: UnexpectedToken(Identifier("USE")) +``` + +The runtime error message recommends `SESSION SET SCHEMA ` / +`SESSION SET GRAPH `, which the parser does accept. We use the +working form. Surface area: just `setup.rs` and `run.rs` — both have a +comment noting the doc divergence. + +### 2c. Why the load hung — root cause from the source (post-mortem) + +Initial diagnosis was "Sled WAL contention." Wrong. After a deep +review of the upstream source, the actual reason is at the executor +level, not the storage layer: + +- `graphlite/src/exec/write_engine/operations/match_insert.rs:506` — + `MATCH (a {id:X}) ... INSERT (a)-[:rel]->(b)` resolves variable `a` + by calling `graph.get_all_nodes()` and `.filter()` in Rust. **A + full O(N) linear filter over the in-memory node `HashMap`, not a + hash lookup.** Per matched variable. Per edge insert. +- `graphlite/src/storage/graph_cache.rs:21` — `nodes: HashMap` + is keyed by GraphLite-internal id, not by user `id` property. There + is no secondary property index ever, despite what `Architecture.md` + claims. The "Property Index" string in the docs is aspirational. +- `graphlite/src/storage/persistent/sled.rs:97` — `batch_insert` is + declared but the body is `for (k,v) in entries { self.insert(k,v)?; }`. + **No `sled::Batch`**. Pretending to batch. +- `graphlite/src/storage/data_adapter.rs:415-418` — every commit + flushes all four trees (`nodes_tree`, `edges_tree`, `metadata_tree`, + `catalog_tree`). Per-row commits = four fsyncs per row. + +So with persons (1.5K) we got ~30s — fine, the in-memory HashMap is +small, the per-edge filter is cheap. With **comments + their edges** +the in-memory node HashMap grows past 150K and **every edge insert +runs a linear filter over that growing set**. That's quadratic in +total entities. + +The "RSS dropped to 700kB, no disk writes for 90 min" detail we saw +matches this exactly: the executor is stuck in a tight CPU filter-loop +over the in-memory node set, Sled is idle (nothing to write yet +because nothing committed), Windows pages out the cold parts of the +process. + +### 2d. Bulk load is on the upstream roadmap, not shipped + +Source comment in `graphlite/src/storage/indexes/traits.rs:61` literally +reads: *"ROADMAP v0.4.0 - Batch index operations for bulk data loading"* +and `schema/validator.rs:216` mentions index schema validation as a +future item. The maintainers know the system can't bulk-load at scale +in v0.0.1. The `block_cache_size: 64MB` field on the storage trait +(`storage/persistent/traits.rs:174`) is silently ignored — `sled.rs:117` +calls `sled::open(path)` flat with library defaults, no `sled::Config`, +no `Mode::HighThroughput`, no `flush_every_ms`. The knob exists; it's +not wired up. + +### 2e. Designed-for scale, by their own tests/examples/benches + +We checked the entire repository for any bulk-load idiom or richer SDK +method. Findings: + +- CLI (`gql-cli/src/cli/commands.rs`) has 4 commands: `Version`, + `Query`, `Gql` (REPL), `Install`. **No `import`, no `\copy`, no CSV + loader, no `-f script.gql`.** +- C-FFI (`graphlite-ffi/src/lib.rs`) has 7 functions, the same surface + as the SDK: `open / create_session / query / close_session / + free_string / close / version`. No batch entrypoint. +- All bindings (Python, Java, Rust SDKs and their bindings/) expose + only `execute / query / transaction`. No bulk methods. We checked. +- Largest example anywhere in `examples/` is `drug_discovery` with + ~25 INSERT patterns. No LDBC, no bulk, no large-data example. +- Their own benches (`benches/session_throughput.rs` and + `benches/catalog_cache_throughput.rs`) exercise 1000 sessions and + 5 schemas / 15 graphs respectively. Both run on near-empty graphs. + +**Project's own performance-testing scale: ~10³ entities.** LDBC SF0.1 +(~604K node+edge entities) is **two-to-three orders of magnitude past +what GraphLite v0.0.1 was designed and tested for.** Document it as +out-of-scale and move on. + +### 2b. Setup hangs partway through bulk load (observed empirically) + +In the run we recorded for the bench, `graphlite-setup` (Rust loader, +auto-commit per row, batch=40 nodes / batch=15 edges to stay under the +1000-iteration lexer cap, after the apostrophe-escape fix) completed +the persons phase (1528 nodes in ~30s) but then ran for 90+ minutes +on the comments phase without emitting a single batch-success or +skip line and without growing the on-disk DB beyond ~37 MB. The +process became effectively idle — RSS dropped to ~700 kB and the +last write to `ic2.db/db` was minutes after persons completed. We +killed it and proceeded with a partial-load DB rather than wait +indefinitely. + +The auksys/gqlite loader (different system, also Rust-core-based, +also auto-commit) processed all 287K nodes via UNWIND in a few +seconds on the same machine and dataset, so this isn't a +system-load issue — it's specific to GraphLite's storage stack +locking up under sustained per-statement INSERTs against a Sled +backend. + +For the bench, this means we either: +- Run with the partial DB (persons-only) — IC2 returns 0 rows + for every param row because the join requires Comments / Posts + / edges, none of which are loaded. +- Run with the empty `expected_shape = "empty"` and the runner's + sentinel-row mechanism flagging every iter as errored. + +Either way the GraphLite column in the comparison table is going +to be mostly empty / sentinels. That's the honest finding. + +### 3. Per-row INSERT pipeline (no bulk-insert API) + +The published SDK has no batch / parameterised / bulk-insert path — +only `tx.execute(&str)` and `session.query(&str)`. So the loader +formats and executes individual GQL statements through the full +lex→parse→plan→execute pipeline (1.5K Persons + 151K Comments + 136K +Posts + 28K knows-edges-both-directions + 287K hasCreator-edges). +This makes one-time setup considerably slower than gqlite's CSV +importer (which does it in a single linear pass over the files). + +We do batch multiple graph patterns into one INSERT statement +(`INSERT (:L {...}), (:L {...}), ...`) where the parser allows it, +but **the lexer hard-caps tokenization at 1000 iterations** +(`graphlite-0.0.1/src/ast/lexer.rs:326`, with the comment "Infinite +loop protection") so node batches above ~50 patterns and edge batches +above ~25 pairs hit `Parse error: LexerError("Infinite loop detected +in lexer")` even on perfectly valid syntax. We use NODE_BATCH=40 and +EDGE_BATCH=15 to stay safely under the cap. + +This is reported as setup-time cost; query-time cost (what the latency +table actually measures) is unaffected. + +### 4. Numbers are `f64` everywhere + +`graphlite_sdk::Value::Number(f64)` is the only numeric variant — no +separate Int / Float discrimination. LDBC IDs are conceptually i64 but +this engine transports them as f64. Our shape-of-value mapping in +`run.rs` calls a `Number(n)` "i" when `n.fract() == 0.0` so the column +type signature still matches `expected_shape = "i,s,s,i,n/s,i"`. For +SF0.1 the ID range fits within f64 mantissa (53-bit) so precision +holds; at SF1+ scale this would start dropping bits. + +### 5. No parameter-binding API + +`session.query` only takes a `&str`. The runner does string +substitution of `{{personId}}` / `{{maxDate}}` / `{{messageLabel}}` +into the template per param row before calling `query`. Substitution +values are LDBC-supplied integers, so injection-shaped concerns +don't apply, but it's a syntax-fragile pattern. + +### 6. No `:A | :B` union-label syntax + +IC2's `(c:Comment | Post)` doesn't compile in this dialect. The +runner runs the template once per label (`Comment`, then `Post`) and +concatenates the rows before passing to the shape/count logic. Cost: +two queries per param row instead of one. Reported latency is +wall-clock for both queries summed. + +### 7. Errors are caught, not fatal + +Per-query failures (panics or `Err` returns from the SDK) are caught +in `run.rs` via `catch_unwind`. The runner emits a sentinel CSV row +with `result_count = -1` and continues. `compare_results.py` reads +sentinel rows as "errored" and reports a per-system error tally +alongside the latency table. + +This is necessary because GraphLite 0.0.1 is buggy enough that any +single query is a non-trivial chance of bringing the whole runner +down (lexer panics on input we didn't ASCII-fold, SDK Result errors +on parser surface mismatches, etc.). Aborting the bench on first +error would lose all the other rows' measurements. + +## Project activity signals (still relevant) + +- `graphlite-rust-sdk` v0.0.1 published 2025-11-23 — only version. +- `graphlite` core crate v0.0.1 published 2025-11-21 — only version. +- Upstream repo's most recent commit at the time of bench integration + is ~4 months old: `fix(GQL): ORDER BY clause not sorting results + correctly` — followed by no further activity. + +So we're benching against an early, slow-moving project, and reporting +both its latency (where it can answer) and its error rate (where it +can't). Both numbers are findings. + +## What would change this story + +If upstream: +1. Fixes the UTF-8 lexer panic — we drop the ASCII-fold concession. +2. Reconciles `USE` keyword surface — minor cleanup, no behavior change. +3. Ships a bulk-insert API — setup time drops to comparable scale. +4. Stops `Value::Number(f64)` collapsing Int and Float — we get a real + `i` vs `f` shape signature without our heuristic. +5. Adds `:A | :B` union-label syntax — we drop the runner-side + per-label loop. + +…then the bench numbers become more directly comparable. Until then +the divergences above are the contract: read the table knowing what's +been compromised, and the error count tells you how often "compromised" +becomes "couldn't answer." diff --git a/bench/cross-system/graphlite/ic2.gql b/bench/cross-system/graphlite/ic2.gql new file mode 100644 index 0000000..57f1426 --- /dev/null +++ b/bench/cross-system/graphlite/ic2.gql @@ -0,0 +1,28 @@ +-- ISO GQL translation of bench/ldbc-queries/ic2.toml. +-- +-- Source-of-truth IC2 lives in that toml; this file is a language +-- translation. Substitution placeholders use double-curly form +-- (`{{personId}}` / `{{maxDate}}`) which run.rs replaces per param row +-- because graphlite-rust-sdk 0.0.1 has no parameter-binding API. +-- +-- Divergences from the LDBC spec, applied to every system in the +-- cross-system bench for apples-to-apples: +-- - no ORDER BY (gqlite parser doesn't support it) +-- - no `coalesce(c.content, c.imageFile)` — return c.content directly +-- - lowercase :knows / :hasCreator (loader convention) +-- +-- GraphLite-specific divergences (driven by the SDK 0.0.1 dialect docs): +-- - `:knows` is loaded in both directions during setup, so the +-- pattern uses a directed `-[:knows]->`. Equivalent to the +-- undirected `~[:knows]~` in our own gqlite IC2. +-- - No `(c:Comment | Post)` union-label syntax; we issue this as +-- two separate queries (one per label) at the runner level and +-- concatenate the results before returning. The runner takes +-- care of union-ing — this template covers ONE message label, +-- with `{{messageLabel}}` filled in by the runner. +MATCH (p:Person {id: {{personId}}})-[:knows]->(friend:Person)<-[:hasCreator]-(c:{{messageLabel}}) +WHERE c.creationDate <= {{maxDate}} +RETURN friend.id AS friend_id, friend.firstName AS friend_firstName, + friend.lastName AS friend_lastName, + c.id AS c_id, c.content AS c_content, c.creationDate AS c_creationDate +LIMIT 20 diff --git a/bench/cross-system/graphlite/run.sh b/bench/cross-system/graphlite/run.sh new file mode 100644 index 0000000..940f6b2 --- /dev/null +++ b/bench/cross-system/graphlite/run.sh @@ -0,0 +1,86 @@ +#!/usr/bin/env bash +# Run a chosen IC against GraphLite-AI/GraphLite and emit per-iter CSV +# in the cross-system schema. +# +# Output schema (matches src/bin/ldbc_bench.rs): +# query;backend;params;row;iter;result_count;elapsed_ns +# +# Usage: +# bench/cross-system/graphlite/run.sh [--ic ] [--iters N] [--warmup N] +# +# Default --ic is 2. The runner reads the IC's toml + the local +# ic.gql translation file, opens the pre-loaded Sled DB at +# bench/data/cross-system/graphlite/ic.db/, and runs the query for +# each substitution-param row. +# +# Prereq: ./target/release/bench_setup has been run, AND `cargo run +# --release --bin graphlite-setup -- --ic ` has loaded the data +# subset for this IC into the Sled DB. The runner errors out cleanly +# if the DB is missing. + +set -euo pipefail + +if [[ $# -lt 1 ]]; then + echo "usage: $0 [--ic ] [--iters N] [--warmup N]" >&2 + exit 1 +fi + +OUT_CSV="$1"; shift + +IC=2 +ITERS=10 +WARMUP=2 +while [[ $# -gt 0 ]]; do + case "$1" in + --ic) IC="$2"; shift 2 ;; + --iters) ITERS="$2"; shift 2 ;; + --warmup) WARMUP="$2"; shift 2 ;; + *) echo "unknown arg: $1" >&2; exit 1 ;; + esac +done + +SCRIPT_DIR="$(cd "$(dirname "$0")" && pwd)" +REPO_ROOT="$(cd "$SCRIPT_DIR/../../.." && pwd)" + +# GraphLite is included with documented divergences — see DIVERGENCES.md. +# We pass an early heads-up so the operator knows what they're looking +# at; the runner itself counts errored param rows in CSV via sentinel +# (result_count = -1) and reports them in stderr. The orchestrator's +# SKIPPED.md detection is intentionally NOT used here — we want the +# runner to proceed and let compare_results.py surface the error count +# alongside per-row latency. +if [[ -f "$SCRIPT_DIR/DIVERGENCES.md" ]]; then + echo " graphlite: running with documented divergences (see $SCRIPT_DIR/DIVERGENCES.md)" >&2 +fi + +# Convert the OUT_CSV to absolute path before changing dirs (OUT_CSV +# may be relative to the orchestrator's CWD). +case "$OUT_CSV" in + /*) ABS_OUT="$OUT_CSV" ;; + *) ABS_OUT="$(pwd)/$OUT_CSV" ;; +esac + +cd "$SCRIPT_DIR" + +# Build release binary if missing. Standalone Cargo.toml — its target +# dir is local to the graphlite/ subdir, NOT the repo's main target/. +if [[ ! -x ./target/release/graphlite-run ]] \ + || [[ ! -x ./target/release/graphlite-setup ]]; then + cargo build --release --bin graphlite-run --bin graphlite-setup >&2 +fi + +DB_DIR="$REPO_ROOT/bench/data/cross-system/graphlite/ic${IC}.db" +if [[ ! -d "$DB_DIR" ]]; then + echo " graphlite db missing: $DB_DIR" >&2 + echo " building (one-time, ~minutes)..." >&2 + ./target/release/graphlite-setup --ic "$IC" >&2 || { + echo " graphlite-setup failed; see stderr above" >&2 + exit 1 + } +fi + +echo " --- graphlite ic$IC ---" >&2 +./target/release/graphlite-run "$ABS_OUT" \ + --ic "$IC" --iters "$ITERS" --warmup "$WARMUP" + +echo " done -> $ABS_OUT" >&2 diff --git a/bench/cross-system/graphlite/src/run.rs b/bench/cross-system/graphlite/src/run.rs new file mode 100644 index 0000000..3e6b3b2 --- /dev/null +++ b/bench/cross-system/graphlite/src/run.rs @@ -0,0 +1,392 @@ +//! Run a chosen IC against GraphLite-AI/GraphLite for every substitution-param +//! row, emitting per-iter CSV in the cross-system schema. +//! +//! Output schema (matches src/bin/ldbc_bench.rs): +//! query;backend;params;row;iter;result_count;elapsed_ns +//! +//! `backend` is fixed to `graphlite-iso-gql`. `params` is the raw pipe-joined +//! param row from the LDBC params file. `row` is the 0-based param-row index. +//! +//! GraphLite SDK 0.0.1 has no parameter-binding API, so the runner does +//! string substitution per param row before calling `session.query`. The +//! template uses double-curly placeholders (`{{name}}`); see ic.gql for +//! the template. +//! +//! IC2 also requires union over the `:Comment | :Post` message labels — +//! GraphLite has no documented `:A | :B` syntax — so the runner issues +//! two queries per param row (one per label), concatenates the rows, and +//! treats the merged set as the IC's result for shape/timing. + +use clap::Parser; +use graphlite_sdk::{GraphLite, QueryResult, Value}; +use serde::Deserialize; +use std::fs; +use std::io::{BufWriter, Write}; +use std::panic::{catch_unwind, AssertUnwindSafe}; +use std::path::{Path, PathBuf}; +use std::time::Instant; + +#[derive(Parser, Debug)] +#[command(about = "Run an IC against GraphLite, emitting cross-system CSV.")] +struct Args { + /// Output CSV path. + out_csv: PathBuf, + /// LDBC IC number. + #[arg(long, default_value_t = 2)] + ic: u32, + /// Measured iterations per param row. + #[arg(long, default_value_t = 10)] + iters: u32, + /// Warmup iterations per param row (discarded). + #[arg(long, default_value_t = 2)] + warmup: u32, +} + +#[derive(Deserialize)] +struct IcToml { + status: String, + params_file: String, + return_columns: Option>, + expected_shape: Option, +} + +fn repo_root() -> PathBuf { + let here = Path::new(env!("CARGO_MANIFEST_DIR")).to_path_buf(); + here.parent().unwrap().parent().unwrap().parent().unwrap().to_path_buf() +} + +fn load_toml(path: &Path) -> Result> { + let raw = fs::read_to_string(path)?; + Ok(toml::from_str(&raw)?) +} + +/// Read an LDBC pipe-delimited params file. +/// Returns (header_columns, [data_rows]). +fn load_params(path: &Path) -> Result<(Vec, Vec>), Box> { + let raw = fs::read_to_string(path)?; + let mut lines = raw.lines().filter(|l| !l.trim().is_empty()); + let header_line = lines.next().ok_or("empty params file")?; + let header: Vec = header_line.split('|').map(str::to_string).collect(); + let data: Vec> = lines + .map(|l| l.split('|').map(str::to_string).collect()) + .collect(); + Ok((header, data)) +} + +/// `dot.path` (in the toml) → `dot_path` (the AS-alias form we use in queries). +fn derive_columns(return_columns: &[String]) -> Vec { + return_columns.iter().map(|c| c.replace('.', "_")).collect() +} + +fn shape_of_value(v: &Value) -> &'static str { + // Map GraphLite's Value variants to the cross-system shape vocabulary + // used in `expected_shape` (i=int, s=str, n=null, b=bool, f=float, l=list, + // r=record). GraphLite stores all numbers as f64 (`Number(f64)`), so we + // call a Number "i" when its fractional part is zero (the LDBC dataset's + // ids and creationDates are conceptually ints, just transported as f64 + // by this engine) and "f" otherwise. Without this the bench would never + // match the expected `i,s,s,i,n/s,i` shape for IC2 even on correct + // results. + match v { + Value::Null => "n", + Value::Boolean(_) => "b", + Value::Number(n) if n.fract() == 0.0 => "i", + Value::Number(_) => "f", + Value::String(_) => "s", + Value::Array(_) | Value::List(_) | Value::Vector(_) => "l", + _ => "r", + } +} + +/// Per-column type-set across all rows; columns join with `,`, types within +/// a column join with `/`. Mirrors `shape_of_result` in src/bin/ldbc_bench.rs. +fn shape_of_rows(rows: &[Vec], n_columns: usize) -> String { + if rows.is_empty() { + return "empty".into(); + } + let mut cols: Vec> = + (0..n_columns).map(|_| std::collections::BTreeSet::new()).collect(); + for r in rows { + for (i, v) in r.iter().enumerate().take(n_columns) { + cols[i].insert(shape_of_value(v)); + } + } + cols.iter() + .map(|s| s.iter().copied().collect::>().join("/")) + .collect::>() + .join(",") +} + +fn verify_shape(actual: &str, expected: &str) -> Option { + let a: Vec> = actual + .split(',') + .map(|c| c.split('/').collect()) + .collect(); + let e: Vec> = expected + .split(',') + .map(|c| c.split('/').collect()) + .collect(); + if a.len() != e.len() { + return Some(format!("column count: actual={}, expected={}", a.len(), e.len())); + } + for (i, (ac, ec)) in a.iter().zip(e.iter()).enumerate() { + if !ac.is_subset(ec) { + let extras: Vec<&str> = ac.difference(ec).copied().collect(); + return Some(format!( + "col {i}: actual {ac:?} not ⊆ expected {ec:?} (extra: {extras:?})" + )); + } + } + None +} + +/// Pull the rows out of a `QueryResult` as positional `Vec` keyed by +/// the alias names we asked for in the RETURN. The SDK 0.0.1 surface gives us +/// `Row` accessors; we keep the public types here narrow to simplify the rest +/// of the runner. +fn extract_rows(result: &QueryResult, columns: &[String]) -> Vec> { + let mut out = Vec::with_capacity(result.rows.len()); + for row in &result.rows { + let vals: Vec = columns + .iter() + .map(|c| row.get_value(c).cloned().unwrap_or(Value::Null)) + .collect(); + out.push(vals); + } + out +} + +fn main() -> Result<(), Box> { + let args = Args::parse(); + let repo = repo_root(); + let ic = args.ic; + let toml_path = repo.join(format!("bench/ldbc-queries/ic{ic}.toml")); + let template_path = + Path::new(env!("CARGO_MANIFEST_DIR")).join(format!("ic{ic}.gql")); + let db_path = repo.join(format!("bench/data/cross-system/graphlite/ic{ic}.db")); + + if !toml_path.is_file() { + eprintln!(" toml missing: {}", toml_path.display()); + std::process::exit(1); + } + if !template_path.is_file() { + eprintln!( + " query template missing: {}\n \ + (write it as a translation of {})", + template_path.display(), + toml_path.display() + ); + std::process::exit(1); + } + let ic_toml = load_toml(&toml_path)?; + if ic_toml.status != "implemented" { + eprintln!( + " ic{ic}.toml status is {:?}, not 'implemented'. Skipping.", + ic_toml.status + ); + return Ok(()); + } + let params_file = repo + .join("bench/data/substitution_parameters-sf0.1/substitution_parameters-sf0.1") + .join(&ic_toml.params_file); + if !params_file.is_file() { + eprintln!(" params file missing: {}", params_file.display()); + eprintln!(" run ./target/release/bench_setup from the repo root first."); + std::process::exit(1); + } + if !db_path.exists() { + eprintln!(" graphlite db missing: {}", db_path.display()); + eprintln!(" run `cargo run --release --bin graphlite-setup --` from this dir first."); + std::process::exit(1); + } + + let columns = derive_columns(ic_toml.return_columns.as_deref().unwrap_or(&[])); + let template = fs::read_to_string(&template_path)?; + // Strip leading `--` comment lines so they don't reach the engine. + let template: String = template + .lines() + .skip_while(|l| l.starts_with("--") || l.trim().is_empty()) + .collect::>() + .join("\n"); + + let (header, params_rows) = load_params(¶ms_file)?; + eprintln!( + " graphlite ic{ic}: {} param rows × {} iters (+ {} warmup)", + params_rows.len(), + args.iters, + args.warmup + ); + + let db = GraphLite::open(&db_path)?; + let session = db.session("bench")?; + session.execute("USE SCHEMA ldbc")?; + session.execute("USE GRAPH sf01")?; + + let backend_label = "graphlite-iso-gql"; + let query_label = format!("IC{ic}"); + + let out = fs::File::create(&args.out_csv)?; + let mut out = BufWriter::new(out); + writeln!(out, "query;backend;params;row;iter;result_count;elapsed_ns")?; + + // IC2's union-of-message-labels expressed at the runner level: run the + // template once per label, concatenate rows. For other ICs without this + // pattern, the labels list will be `["Person"]` or similar (TODO when + // such an IC lands; for now hard-code IC2's set). + let message_labels: Vec<&str> = match ic { + 2 => vec!["Comment", "Post"], + _ => vec![], + }; + + let mut error_rows = 0usize; + for (row_idx, raw_row) in params_rows.iter().enumerate() { + let joined = raw_row.join("|"); + + // warmup. A warmup failure is a strong signal that this param row + // will fail for every measured iter too — record one sentinel and + // skip the measured iters rather than spam identical failures. + let mut warmup_failed: Option = None; + for _ in 0..args.warmup { + if let Err(why) = run_one( + &session, &template, &header, raw_row, &message_labels, &columns, + ) { + warmup_failed = Some(why); + break; + } + } + if let Some(why) = warmup_failed { + eprintln!(" row {row_idx}: WARMUP FAIL — {why}; emitting sentinel and skipping measured iters"); + // Emit ONE sentinel row per failing param row. result_count = -1 + // marks "errored" for compare_results.py. + writeln!( + out, + "{};{};{};{};{};{};{}", + query_label, backend_label, joined, row_idx, 0, -1, 0 + )?; + error_rows += 1; + continue; + } + + let mut iter0_rows: Option>> = None; + let mut last_elapsed_ns: u128 = 0; + let mut iter_errored = false; + for n in 0..args.iters { + let t = Instant::now(); + let outcome = run_one( + &session, &template, &header, raw_row, &message_labels, &columns, + ); + let elapsed_ns = t.elapsed().as_nanos(); + last_elapsed_ns = elapsed_ns; + match outcome { + Ok(rows) => { + writeln!( + out, + "{};{};{};{};{};{};{}", + query_label, backend_label, joined, row_idx, n, rows.len(), elapsed_ns + )?; + if n == 0 { + iter0_rows = Some(rows); + } + } + Err(why) => { + eprintln!(" row {row_idx} iter {n}: ERROR — {why}"); + writeln!( + out, + "{};{};{};{};{};{};{}", + query_label, backend_label, joined, row_idx, n, -1, elapsed_ns + )?; + iter_errored = true; + } + } + } + if iter_errored { + error_rows += 1; + } + + match iter0_rows { + Some(rows) => { + let actual_shape = shape_of_rows(&rows, columns.len()); + let actual_count = rows.len(); + let status = match &ic_toml.expected_shape { + None => "no-expected".to_string(), + Some(exp) => match verify_shape(&actual_shape, exp) { + None => "ok".to_string(), + Some(why) => format!("fail reason=\"{why}\""), + }, + }; + eprintln!( + " SHAPE row={row_idx} count={actual_count} shape={actual_shape} status={status}" + ); + eprintln!( + " row {row_idx}: rc={actual_count} last_iter_ms={:.2}", + last_elapsed_ns as f64 / 1e6 + ); + } + None => { + eprintln!(" row {row_idx}: no successful iters"); + } + } + } + + eprintln!( + " done -> {} ({} of {} param rows had at least one error)", + args.out_csv.display(), + error_rows, + params_rows.len() + ); + Ok(()) +} + +/// Outcome of running the template once for a single param row. +/// +/// `Ok(rows)` carries the union of returned rows across the per-label sub-queries. +/// `Err(reason)` is set if ANY sub-query failed (returned `Err` or panicked) — +/// we treat the whole param-row run as failed because the IC2 result is the +/// union of Comment + Post, and a partial union would silently undercount. +/// The runner emits a sentinel CSV row (result_count = -1) for failures so +/// compare_results.py can surface them. +fn run_one( + session: &graphlite_sdk::Session, + template: &str, + header: &[String], + raw_row: &[String], + message_labels: &[&str], + columns: &[String], +) -> Result>, String> { + let mut all_rows = Vec::new(); + let labels_iter: Vec<&str> = if message_labels.is_empty() { + vec![""] // single pass with no message-label substitution + } else { + message_labels.to_vec() + }; + for label in labels_iter { + let mut q = template.to_string(); + for (col, val) in header.iter().zip(raw_row.iter()) { + q = q.replace(&format!("{{{{{col}}}}}"), val); + } + if !label.is_empty() { + q = q.replace("{{messageLabel}}", label); + } + // Catch both `Err(_)` and panics. GraphLite 0.0.1's lexer panics on + // some inputs (UTF-8 boundary slicing, see DIVERGENCES.md); we want + // to record the failure rather than abort the whole bench. + let result: Result, _> = catch_unwind(AssertUnwindSafe(|| { + session.query(&q).map_err(|e| format!("{e}")) + })); + match result { + Ok(Ok(qr)) => all_rows.extend(extract_rows(&qr, columns)), + Ok(Err(e)) => return Err(format!("error: {e}")), + Err(p) => { + let msg = if let Some(s) = p.downcast_ref::<&str>() { + (*s).to_string() + } else if let Some(s) = p.downcast_ref::() { + s.clone() + } else { + "".to_string() + }; + return Err(format!("panic: {msg}")); + } + } + } + Ok(all_rows) +} diff --git a/bench/cross-system/graphlite/src/setup.rs b/bench/cross-system/graphlite/src/setup.rs new file mode 100644 index 0000000..b2da3e0 --- /dev/null +++ b/bench/cross-system/graphlite/src/setup.rs @@ -0,0 +1,432 @@ +//! Load the LDBC SF0.1 IC2 subset into a GraphLite-AI/GraphLite Sled-backed +//! database. Mirrors the role of `bench/cross-system/graphqlite/setup.py` for +//! the GraphLite engine. +//! +//! IC2 only references these node/edge types: +//! - Person nodes (id, firstName, lastName) +//! - Comment nodes (id, creationDate, content) +//! - Post nodes (id, creationDate, content) +//! - knows edges (Person—Person; LDBC stores one direction, we insert both +//! to simulate undirected matching) +//! - hasCreator edges (Comment→Person, Post→Person) +//! +//! Output: a Sled directory at +//! `bench/data/cross-system/graphlite/ic.db/` with the schema/graph created +//! and all rows loaded. Idempotent: skips if the directory already exists. + +use clap::Parser; +use csv::ReaderBuilder; +use graphlite_sdk::GraphLite; +use std::fs; +use std::panic::{catch_unwind, AssertUnwindSafe}; +use std::path::{Path, PathBuf}; + +#[derive(Parser, Debug)] +#[command(about = "Load LDBC CSVs into a GraphLite Sled-backed DB.")] +struct Args { + /// LDBC IC number this DB is for (used in the output dir name). + #[arg(long, default_value_t = 2)] + ic: u32, + /// LDBC dynamic-CSVs directory (Person, Comment, Post + edge files). + #[arg(long)] + csv_dir: Option, + /// Output Sled directory. + #[arg(long)] + db: Option, + /// Rebuild even if the directory already exists. + #[arg(long)] + force: bool, +} + +fn repo_root() -> PathBuf { + // setup.rs is at bench/cross-system/graphlite/src/setup.rs. + let here = Path::new(env!("CARGO_MANIFEST_DIR")).to_path_buf(); + here.parent().unwrap().parent().unwrap().parent().unwrap().to_path_buf() +} + +fn default_csv_dir(repo: &Path) -> PathBuf { + repo.join("bench/data/ldbc-sf0.1/social_network-sf0.1-CsvBasic-LongDateFormatter/dynamic") +} + +fn default_db(repo: &Path, ic: u32) -> PathBuf { + repo.join(format!("bench/data/cross-system/graphlite/ic{ic}.db")) +} + +fn main() -> Result<(), Box> { + let args = Args::parse(); + let repo = repo_root(); + let csv_dir = args.csv_dir.unwrap_or_else(|| default_csv_dir(&repo)); + let db_path = args.db.unwrap_or_else(|| default_db(&repo, args.ic)); + + if args.ic != 2 { + eprintln!( + "setup currently only loads the IC2 subset (Person/Comment/Post + knows/hasCreator). \ + Add per-IC loaders before benching ic{}.", + args.ic + ); + std::process::exit(1); + } + + if !csv_dir.is_dir() { + eprintln!("CSV dir not found: {}", csv_dir.display()); + eprintln!("Run ./target/release/bench_setup from the repo root first."); + std::process::exit(1); + } + + if db_path.exists() { + if args.force { + fs::remove_dir_all(&db_path)?; + } else { + eprintln!(" cached: {} (pass --force to rebuild)", db_path.display()); + return Ok(()); + } + } + fs::create_dir_all(db_path.parent().unwrap())?; + + eprintln!(" building {} from {}", db_path.display(), csv_dir.display()); + let t0 = std::time::Instant::now(); + + let db = GraphLite::open(&db_path)?; + let session = db.session("admin")?; + + // GraphLite SDK 0.0.1: schema/graph context is set with SESSION SET, + // not `USE` (which the parser rejects). Order matters — schema first, + // graph second. + session.execute("CREATE SCHEMA IF NOT EXISTS ldbc")?; + session.execute("SESSION SET SCHEMA ldbc")?; + session.execute("CREATE GRAPH IF NOT EXISTS sf01")?; + session.execute("SESSION SET GRAPH sf01")?; + + load_persons(&session, &csv_dir.join("person_0_0.csv"))?; + load_messages(&session, &csv_dir.join("comment_0_0.csv"), "Comment")?; + load_messages(&session, &csv_dir.join("post_0_0.csv"), "Post")?; + + // knows is undirected per LDBC; the CSV lists each pair once. We + // insert the edge in both directions so query patterns can match + // either direction without needing native undirected-pattern syntax. + load_edges_knows(&session, &csv_dir.join("person_knows_person_0_0.csv"))?; + load_edges_has_creator(&session, &csv_dir.join("comment_hasCreator_person_0_0.csv"))?; + load_edges_has_creator(&session, &csv_dir.join("post_hasCreator_person_0_0.csv"))?; + + eprintln!(" done in {:.1}s. db at {}", t0.elapsed().as_secs_f64(), db_path.display()); + Ok(()) +} + +/// Escape a string literal for inclusion in a GQL query: wrap in single quotes +/// and **backslash-escape** embedded single quotes and backslashes. LDBC strings +/// can contain apostrophes (e.g. names like "O'Brien", LDBC content text like +/// "BBC's") so this matters. GraphLite's lexer recognises only backslash escape +/// (`\'`) — NOT the SQL-style double-quote escape (`''`) — see +/// `graphlite-0.0.1/src/ast/lexer.rs::escaped_string_content`. Without this fix +/// the lexer terminates the string at the first inner quote and the remainder +/// of the INSERT becomes garbled, surfacing as `Parse error: UnexpectedToken(Insert)` +/// when the next statement begins. +fn quote(s: &str) -> String { + let mut out = String::with_capacity(s.len() + 2); + out.push('\''); + for c in s.chars() { + match c { + '\\' => { + out.push('\\'); + out.push('\\'); + } + '\'' => { + out.push('\\'); + out.push('\''); + } + _ => out.push(c), + } + } + out.push('\''); + out +} + +/// Strip non-ASCII characters from `s`. GraphLite 0.0.1's lexer panics on +/// any non-ASCII byte that lands inside a multi-byte char boundary during +/// keyword detection (`src/ast/lexer.rs:488`, `&input[..N]` slicing without +/// `is_char_boundary` check). Until upstream fixes that, we drop non-ASCII +/// chars from string property values at load time. This affects content +/// fidelity for names like "Amenábar" → "Amenbar" but preserves IC2 row +/// counts and result shapes (IC2 doesn't filter on string content, only +/// returns it). See DIVERGENCES.md. +fn ascii_only(s: &str) -> String { + s.chars().filter(|c| c.is_ascii()).collect() +} + +/// Run a closure that calls into the SDK, catching both `Result::Err` and +/// any `panic!` inside the SDK. Returns `Ok(())` on success and `Err(reason)` +/// on either kind of failure so the caller can log + skip the row instead +/// of aborting the whole load. The lexer-bug surface area is wide enough +/// that we treat any panic as a "skip this row" signal rather than try to +/// classify upstream's failure modes. +fn try_execute(f: F) -> Result<(), String> +where + F: FnOnce() -> graphlite_sdk::Result<()>, +{ + match catch_unwind(AssertUnwindSafe(f)) { + Ok(Ok(())) => Ok(()), + Ok(Err(e)) => Err(format!("error: {e}")), + Err(p) => { + let msg = if let Some(s) = p.downcast_ref::<&str>() { + (*s).to_string() + } else if let Some(s) = p.downcast_ref::() { + s.clone() + } else { + "".to_string() + }; + Err(format!("panic: {msg}")) + } + } +} + +/// Number of node patterns per batched INSERT statement. The lex/parse/plan +/// overhead is fixed-per-statement in this engine, so batching N patterns +/// gives an ~Nx speedup on bulk loads. Capped at 40 because GraphLite's +/// lexer (`graphlite-0.0.1/src/ast/lexer.rs:326`) enforces a hard +/// 1000-iteration limit per tokenize call to guard against infinite loops; +/// a Comment INSERT pattern is ~18 tokens, so 40 × 18 + INSERT/separators +/// ≈ 760 tokens — comfortably under the cap with headroom for property +/// values that lex to multiple tokens. +const NODE_BATCH: usize = 40; + +/// Number of edge patterns per batched MATCH+INSERT statement. We use disjoint +/// alias names per edge (`a0/b0/a1/b1/...`) so each MATCH pair binds the +/// correct endpoints independently. Capped at 15 because each pair uses +/// ~36 tokens (MATCH for two nodes + INSERT for one edge), so 15 × 36 ≈ 540, +/// well under the 1000-iteration lexer cap. +const EDGE_BATCH: usize = 15; + +fn load_persons( + session: &graphlite_sdk::Session, + path: &Path, +) -> Result<(), Box> { + // We use `session.execute` (auto-commit) instead of opening a single + // transaction across the whole load. SDK 0.0.1 has a state bug where + // the SECOND transaction opened on a session rejects valid INSERT + // statements with `Parse error: UnexpectedToken(Insert)` — first + // observed when persons committed cleanly but every comment INSERT + // in the next tx panicked. Auto-commit avoids the transitions + // entirely. Sled handles the resulting per-row durability cost. + // + // Per-row INSERTs through the SDK pipeline (lex+parse+plan+execute) are + // pathologically slow at LDBC scale (~600K total inserts after persons), + // so we batch NODE_BATCH patterns into one INSERT. The parser accepts + // `INSERT (:L {...}), (:L {...}), ...` (comma-separated graph patterns + // per graphlite-0.0.1 src/ast/parser.rs::insert_statement). + let mut rdr = ReaderBuilder::new().delimiter(b'|').from_path(path)?; + let mut n = 0usize; + let mut skipped = 0usize; + let mut batch: Vec = Vec::with_capacity(NODE_BATCH); + let mut flush = |batch: &mut Vec, n: &mut usize, skipped: &mut usize| { + if batch.is_empty() { + return; + } + let q = format!("INSERT {}", batch.join(", ")); + match try_execute(|| session.execute(&q)) { + Ok(()) => *n += batch.len(), + Err(why) => { + *skipped += batch.len(); + if *skipped <= 500 { + eprintln!(" skip person batch (size {}): {why}", batch.len()); + } + } + } + batch.clear(); + }; + for r in rdr.records() { + let r = r?; + let id: i64 = r[0].parse()?; + let first = quote(&ascii_only(&r[1])); + let last = quote(&ascii_only(&r[2])); + batch.push(format!( + "(:Person {{id: {id}, firstName: {first}, lastName: {last}}})" + )); + if batch.len() >= NODE_BATCH { + flush(&mut batch, &mut n, &mut skipped); + } + } + flush(&mut batch, &mut n, &mut skipped); + eprintln!(" persons: {n} done ({skipped} skipped)"); + Ok(()) +} + +fn load_messages( + session: &graphlite_sdk::Session, + path: &Path, + label: &str, +) -> Result<(), Box> { + let mut rdr = ReaderBuilder::new().delimiter(b'|').from_path(path)?; + // Header has different positions for Comment vs Post; resolve by name. + let headers = rdr.headers()?.clone(); + let id_idx = headers.iter().position(|h| h == "id").unwrap(); + let cdate_idx = headers.iter().position(|h| h == "creationDate").unwrap(); + let content_idx = headers.iter().position(|h| h == "content"); + + // Batched INSERTs for throughput — see comment in load_persons. + let mut n = 0usize; + let mut skipped = 0usize; + let mut batch: Vec = Vec::with_capacity(NODE_BATCH); + let label_lower = label.to_lowercase(); + let mut flush = |batch: &mut Vec, n: &mut usize, skipped: &mut usize| { + if batch.is_empty() { + return; + } + let q = format!("INSERT {}", batch.join(", ")); + match try_execute(|| session.execute(&q)) { + Ok(()) => *n += batch.len(), + Err(why) => { + *skipped += batch.len(); + if *skipped <= 500 { + eprintln!(" skip {} batch (size {}): {why}", label_lower, batch.len()); + } + } + } + batch.clear(); + }; + for r in rdr.records() { + let r = r?; + let id: i64 = r[id_idx].parse()?; + let cdate: i64 = r[cdate_idx].parse()?; + let content = match content_idx { + Some(i) => quote(&ascii_only(&r[i])), + None => "''".into(), + }; + batch.push(format!( + "(:{label} {{id: {id}, creationDate: {cdate}, content: {content}}})" + )); + if batch.len() >= NODE_BATCH { + flush(&mut batch, &mut n, &mut skipped); + } + } + flush(&mut batch, &mut n, &mut skipped); + eprintln!(" {}: {n} done ({skipped} skipped)", label_lower); + Ok(()) +} + +fn load_edges_knows( + session: &graphlite_sdk::Session, + path: &Path, +) -> Result<(), Box> { + let mut rdr = ReaderBuilder::new().delimiter(b'|').from_path(path)?; + // Batched MATCH+INSERT — see comment in load_persons. Each edge in a + // batch gets disjoint aliases `a0/b0/a1/b1/...` so MATCHes don't bind + // each other's endpoints. + let mut n = 0usize; + let mut skipped = 0usize; + let mut pairs: Vec<(i64, i64)> = Vec::with_capacity(EDGE_BATCH); + let mut flush = |pairs: &mut Vec<(i64, i64)>, n: &mut usize, skipped: &mut usize| { + if pairs.is_empty() { + return; + } + // Two batches: one for (src, dst), one for the reverse direction. + for direction in 0..2 { + let mut match_clauses: Vec = Vec::with_capacity(pairs.len() * 2); + let mut insert_clauses: Vec = Vec::with_capacity(pairs.len()); + for (i, (a_id, b_id)) in pairs.iter().enumerate() { + let (s, d) = if direction == 0 { + (*a_id, *b_id) + } else { + (*b_id, *a_id) + }; + match_clauses + .push(format!("(a{i}:Person {{id: {s}}}), (b{i}:Person {{id: {d}}})")); + insert_clauses.push(format!("(a{i})-[:knows]->(b{i})")); + } + let q = format!( + "MATCH {} INSERT {}", + match_clauses.join(", "), + insert_clauses.join(", ") + ); + match try_execute(|| session.execute(&q)) { + Ok(()) => *n += pairs.len(), + Err(why) => { + *skipped += pairs.len(); + if *skipped <= 500 { + eprintln!( + " skip knows batch (size {}, dir {direction}): {why}", + pairs.len() + ); + } + } + } + } + pairs.clear(); + }; + for r in rdr.records() { + let r = r?; + let src: i64 = r[0].parse()?; + let dst: i64 = r[1].parse()?; + pairs.push((src, dst)); + if pairs.len() >= EDGE_BATCH { + flush(&mut pairs, &mut n, &mut skipped); + } + } + flush(&mut pairs, &mut n, &mut skipped); + eprintln!(" knows edges: {n} done ({skipped} skipped, both directions)"); + Ok(()) +} + +fn load_edges_has_creator( + session: &graphlite_sdk::Session, + path: &Path, +) -> Result<(), Box> { + let mut rdr = ReaderBuilder::new().delimiter(b'|').from_path(path)?; + // Source label varies (Comment vs Post). Detect from filename. + let label = if path.file_name().unwrap().to_str().unwrap().starts_with("comment_") { + "Comment" + } else { + "Post" + }; + // Batched MATCH+INSERT — see comment in load_persons. + let mut n = 0usize; + let mut skipped = 0usize; + let mut pairs: Vec<(i64, i64)> = Vec::with_capacity(EDGE_BATCH); + let label_lower = label.to_lowercase(); + let mut flush = |pairs: &mut Vec<(i64, i64)>, n: &mut usize, skipped: &mut usize| { + if pairs.is_empty() { + return; + } + let mut match_clauses: Vec = Vec::with_capacity(pairs.len() * 2); + let mut insert_clauses: Vec = Vec::with_capacity(pairs.len()); + for (i, (s, d)) in pairs.iter().enumerate() { + match_clauses.push(format!( + "(a{i}:{label} {{id: {s}}}), (b{i}:Person {{id: {d}}})" + )); + insert_clauses.push(format!("(a{i})-[:hasCreator]->(b{i})")); + } + let q = format!( + "MATCH {} INSERT {}", + match_clauses.join(", "), + insert_clauses.join(", ") + ); + match try_execute(|| session.execute(&q)) { + Ok(()) => *n += pairs.len(), + Err(why) => { + *skipped += pairs.len(); + if *skipped <= 500 { + eprintln!( + " skip {} hasCreator batch (size {}): {why}", + label_lower, + pairs.len() + ); + } + } + } + pairs.clear(); + }; + for r in rdr.records() { + let r = r?; + let src: i64 = r[0].parse()?; + let dst: i64 = r[1].parse()?; + pairs.push((src, dst)); + if pairs.len() >= EDGE_BATCH { + flush(&mut pairs, &mut n, &mut skipped); + } + } + flush(&mut pairs, &mut n, &mut skipped); + eprintln!( + " {} hasCreator edges: {n} done ({skipped} skipped)", + label_lower + ); + Ok(()) +} diff --git a/bench/cross-system/run_all.sh b/bench/cross-system/run_all.sh index b5c948c..d0d029e 100644 --- a/bench/cross-system/run_all.sh +++ b/bench/cross-system/run_all.sh @@ -21,6 +21,7 @@ # gqlite.csv # graphqlite.csv (if integrated) # graphlite.csv (if integrated) +# auksys_gqlite.csv (if integrated; gqlite.org / gqlitedb on PyPI) # webbery_gqlite.csv (if integrated; SKIPPED.md otherwise) # cross_system.csv (concatenation of all the above) # comparison.txt (compare_results.py output) @@ -78,7 +79,7 @@ START_EPOCH=$(date +%s) # Systems registered here. Order matters only for cosmetic per-system # stderr output; the comparison script sorts independently. -ALL_SYSTEMS=(gqlite graphqlite graphlite webbery_gqlite) +ALL_SYSTEMS=(gqlite graphqlite graphlite auksys_gqlite webbery_gqlite) # Filter via --only. if [[ -n "$ONLY" ]]; then @@ -105,6 +106,7 @@ for sys in "${SYSTEMS[@]}"; do gqlite) runner="$SCRIPT_DIR/gqlite/run.sh" ;; graphqlite) runner="$SCRIPT_DIR/graphqlite/run.py" ;; graphlite) runner="$SCRIPT_DIR/graphlite/run.sh" ;; # wraps cargo run + auksys_gqlite) runner="$SCRIPT_DIR/auksys_gqlite/run.py" ;; webbery_gqlite) runner="$SCRIPT_DIR/webbery_gqlite/run.sh" ;; esac @@ -121,7 +123,8 @@ for sys in "${SYSTEMS[@]}"; do stderr_log="$OUT_DIR/${sys}.stderr.log" case "$sys" in - graphqlite) python "$runner" "$out_csv" --ic "$IC" --iters "$ITERS" --warmup "$WARMUP" \ + graphqlite|auksys_gqlite) + python "$runner" "$out_csv" --ic "$IC" --iters "$ITERS" --warmup "$WARMUP" \ 2>"$stderr_log" || \ echo "[FAIL] $sys runner returned non-zero" | tee -a "$OUT_DIR/skipped.log" ;; *) bash "$runner" "$out_csv" --ic "$IC" --iters "$ITERS" --warmup "$WARMUP" \