diff --git a/.github/workflows/pr-review.yaml b/.github/workflows/pr-review.yaml
new file mode 100644
index 0000000..8524732
--- /dev/null
+++ b/.github/workflows/pr-review.yaml
@@ -0,0 +1,41 @@
+name: Claude PR Review
+
+on:
+ issue_comment:
+ types:
+ - created
+ pull_request:
+ types:
+ - opened
+
+jobs:
+ claude_review:
+ if: |
+ (
+ github.event_name == 'pull_request' &&
+ github.event.pull_request.draft == false
+ ) ||
+ (
+ github.event_name == 'issue_comment' &&
+ github.event.issue.pull_request &&
+ github.event.comment.user.type != 'Bot' &&
+ contains(github.event.comment.body, '/claude-review')
+ )
+ uses: >-
+ ActiveloopAI/shared-github-actions/.github/workflows/claude-pr-review.yaml@main
+ secrets:
+ OP_SERVICE_ACCOUNT_TOKEN: "${{ secrets.OP_SERVICE_ACCOUNT_TOKEN }}"
+
+ cleanup:
+ needs: claude_review
+ if: always()
+ runs-on: ubuntu-latest
+ steps:
+ - name: cleanup workflow runs
+ uses: mattraks/delete-workflow-runs@v2.1.0
+ with:
+ token: "${{ github.token }}"
+ repository: "${{ github.repository }}"
+ retain_days: 0
+ keep_minimum_runs: 0
+ delete_workflow_pattern: Claude PR Review
diff --git a/.gitignore b/.gitignore
index 8a124db..207fa8c 100644
--- a/.gitignore
+++ b/.gitignore
@@ -6,3 +6,4 @@ tmp/
.env
.env.*
coverage/
+bench/*.json
diff --git a/bench/baseline.json b/bench/baseline.json
deleted file mode 100644
index 514907b..0000000
--- a/bench/baseline.json
+++ /dev/null
@@ -1,4458 +0,0 @@
-[
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\ No newline at end of file
diff --git a/bench/run.mjs b/bench/run.mjs
deleted file mode 100644
index b836c3f..0000000
--- a/bench/run.mjs
+++ /dev/null
@@ -1,418 +0,0 @@
-#!/usr/bin/env node
-
-/**
- * Benchmark harness for Deeplake plugin — exercises REAL plugin code paths.
- *
- * Uses DeeplakeApi (the actual query client) for all DB operations.
- * Simulates the real session lifecycle:
- * - ensureTable / ensureSessionsTable (the actual methods)
- * - DeeplakeFs.create (bootstrap with sync + metadata load)
- * - DeeplakeFs.writeFileWithMeta (batched flush)
- * - DeeplakeFs.readFile (cache + SQL fetch)
- * - DeeplakeFs.flush()
- * - Capture INSERTs via DeeplakeApi.query (same as capture.ts)
- *
- * Usage:
- * npm run build && node bench/run.mjs [--users 5,10] [--sessions 1,3] [--out results.json]
- */
-
-import { randomUUID } from "node:crypto";
-import { writeFileSync, mkdirSync } from "node:fs";
-import { dirname } from "node:path";
-
-// Import the ACTUAL plugin code
-import { DeeplakeApi } from "../dist/src/deeplake-api.js";
-import { DeeplakeFs } from "../dist/src/shell/deeplake-fs.js";
-import { sqlStr } from "../dist/src/utils/sql.js";
-
-// ── Config ──────────────────────────────────────────────────────────────────
-
-const API_URL = "https://api-beta.deeplake.ai";
-const TOKEN = process.env.DEEPLAKE_BENCH_TOKEN;
-const ORG_ID = process.env.DEEPLAKE_BENCH_ORG ?? "0e710368-56c2-482e-aa7f-e69815e878c8";
-
-if (!TOKEN) {
- console.error("Set DEEPLAKE_BENCH_TOKEN env var");
- process.exit(1);
-}
-
-const args = process.argv.slice(2);
-function getArg(name) {
- const idx = args.indexOf(`--${name}`);
- return idx >= 0 && args[idx + 1] ? args[idx + 1] : null;
-}
-
-const USER_COUNTS = (getArg("users") ?? "5,10,20,50,100").split(",").map(Number);
-const SESSION_COUNTS = (getArg("sessions") ?? "1,3,5,10").split(",").map(Number);
-const OUT_FILE = getArg("out") ?? "bench/results.json";
-const QA_MIN = 5;
-const QA_MAX = 10;
-const MAX_STAGGER_MS = 3000;
-
-// ── Metrics instrumentation ─────────────────────────────────────────────────
-
-/** Wraps a DeeplakeApi instance to intercept query() calls and record metrics. */
-function instrumentApi(api) {
- const metrics = [];
- const origQuery = api.query.bind(api);
-
- api.query = async function (sql) {
- const op = classifyQuery(sql);
- const start = performance.now();
- const ts = Date.now();
- try {
- const result = await origQuery(sql);
- metrics.push({ op, latencyMs: performance.now() - start, ok: true, ts });
- return result;
- } catch (e) {
- const latencyMs = performance.now() - start;
- metrics.push({ op, latencyMs, ok: false, error: e.message, ts });
- if (op !== "alter_table") {
- console.error(` [ERR] ${op} (${latencyMs.toFixed(0)}ms): ${e.message.slice(0, 150)}`);
- }
- throw e;
- }
- };
-
- return metrics;
-}
-
-function classifyQuery(sql) {
- const s = sql.trim().toUpperCase();
- if (s.startsWith("CREATE TABLE")) return "create_table";
- if (s.startsWith("ALTER TABLE")) return "alter_table";
- if (s.startsWith("SELECT DEEPLAKE_SYNC")) return "sync_table";
- if (s.startsWith("INSERT")) return s.includes("SESSIONS") ? "capture_insert" : "memory_insert";
- if (s.startsWith("UPDATE")) return "memory_update";
- if (s.startsWith("DELETE")) return "memory_delete";
- if (s.includes("SUM(SIZE_BYTES)")) return "bootstrap_sessions";
- if (s.includes("SIZE_BYTES, MIME_TYPE")) return "bootstrap_metadata";
- if (s.includes("CONTENT_TEXT") && s.includes("CONTENT")) return "read_file_text";
- if (s.includes("CONTENT_TEXT") && !s.includes("CONTENT ")) return "read_content_text";
- if (s.includes("SELECT CONTENT FROM")) return "read_file_binary";
- if (s.includes("SELECT PATH FROM")) return "check_exists";
- if (s.includes("LIKE") && s.includes("SUMMARIES")) return "generate_index";
- return "other";
-}
-
-// ── Workspace management ────────────────────────────────────────────────────
-
-async function createWorkspace(id) {
- for (let attempt = 0; attempt < 5; attempt++) {
- try {
- const resp = await fetch(`${API_URL}/workspaces`, {
- method: "POST",
- headers: {
- Authorization: `Bearer ${TOKEN}`,
- "Content-Type": "application/json",
- "X-Activeloop-Org-Id": ORG_ID,
- },
- body: JSON.stringify({ id, name: id }),
- });
- if (resp.ok) return;
- const text = await resp.text();
- if (text.includes("already exists")) return;
- if (attempt < 4 && [429, 500, 502, 503, 504].includes(resp.status)) {
- await new Promise(r => setTimeout(r, 1000 * Math.pow(2, attempt)));
- continue;
- }
- throw new Error(`Failed to create workspace ${id}: ${resp.status} ${text}`);
- } catch (e) {
- if (attempt < 4 && e.message?.includes("fetch")) {
- await new Promise(r => setTimeout(r, 1000 * Math.pow(2, attempt)));
- continue;
- }
- throw e;
- }
- }
-}
-
-// ── Sample data ─────────────────────────────────────────────────────────────
-
-const SAMPLE_QUESTIONS = [
- "How do I implement a binary search tree in Python?",
- "What is the difference between TCP and UDP?",
- "Explain the CAP theorem in distributed systems.",
- "How does garbage collection work in Go?",
- "What are the SOLID principles in software design?",
- "How do database indexes improve query performance?",
- "Explain the difference between processes and threads.",
- "What is eventual consistency and when should I use it?",
- "How does TLS/SSL handshake work?",
- "What are the trade-offs between SQL and NoSQL databases?",
-];
-
-const SAMPLE_ANSWERS = [
- "A binary search tree maintains sorted order with O(log n) operations for balanced trees...",
- "TCP provides reliable ordered delivery with connection setup; UDP is connectionless and faster but unreliable...",
- "The CAP theorem states that a distributed system can provide at most two of: Consistency, Availability, Partition tolerance...",
- "Go uses a concurrent tri-color mark-and-sweep garbage collector that runs alongside application goroutines...",
- "SOLID stands for Single Responsibility, Open-Closed, Liskov Substitution, Interface Segregation, Dependency Inversion...",
- "Indexes create sorted data structures (B-trees) that allow the database to find rows without scanning the entire table...",
- "Processes have separate memory spaces and are isolated; threads share memory within a process and are lighter weight...",
- "Eventual consistency guarantees that all replicas will converge to the same state given enough time without new updates...",
- "TLS handshake: ClientHello → ServerHello + cert → key exchange → Finished. Establishes encrypted session...",
- "SQL excels at complex joins and ACID transactions; NoSQL offers horizontal scaling and flexible schemas...",
-];
-
-function pick(arr) { return arr[Math.floor(Math.random() * arr.length)]; }
-
-// ── Session simulation using REAL plugin code ───────────────────────────────
-
-async function simulateSession(api, fs, sessionsTable, userId, sessionIdx) {
- const sessionUuid = randomUUID().slice(0, 8);
- const sessionPath = `/sessions/user_${userId}/user_${userId}_bench_default_${sessionUuid}.jsonl`;
- const summaryPath = `/summaries/user_${userId}/${sessionUuid}.md`;
- const ts = () => new Date().toISOString();
-
- // 1. Session start — write placeholder via DeeplakeFs (exercises writeFileWithMeta + batch flush)
- const placeholderContent = `# Session ${sessionUuid}\n- **Started**: ${ts()}\n- **Status**: in-progress\n`;
- await fs.writeFileWithMeta(summaryPath, placeholderContent, {
- project: "benchmark",
- description: "in progress",
- creationDate: ts(),
- lastUpdateDate: ts(),
- });
- await fs.flush();
-
- // 2. Q&A rounds — capture via DeeplakeApi.query (same as capture.ts does)
- const rounds = QA_MIN + Math.floor(Math.random() * (QA_MAX - QA_MIN + 1));
- for (let i = 0; i < rounds; i++) {
- const q = pick(SAMPLE_QUESTIONS);
- const a = pick(SAMPLE_ANSWERS);
- const now = ts();
-
- // User prompt capture (mirrors capture.ts INSERT — using TEXT instead of JSONB for beta compat)
- const promptEntry = JSON.stringify({
- id: randomUUID(), session_id: sessionUuid, type: "user_message",
- content: q, timestamp: now, hook_event_name: "UserPromptSubmit",
- });
- const promptHex = Buffer.from(promptEntry, "utf-8").toString("hex");
- await api.query(
- `INSERT INTO "${sessionsTable}" (id, path, filename, content, content_text, mime_type, size_bytes, project, description, creation_date, last_update_date) ` +
- `VALUES ('${randomUUID()}', '${sqlStr(sessionPath)}', '${sessionUuid}.jsonl', E'\\\\x${promptHex}', E'${sqlStr(promptEntry)}', 'application/json', ` +
- `${Buffer.byteLength(promptEntry)}, 'benchmark', 'UserPromptSubmit', '${now}', '${now}')`
- );
-
- // Assistant response capture
- const responseEntry = JSON.stringify({
- id: randomUUID(), session_id: sessionUuid, type: "assistant_message",
- content: a, timestamp: ts(), hook_event_name: "Stop",
- });
- const responseHex = Buffer.from(responseEntry, "utf-8").toString("hex");
- await api.query(
- `INSERT INTO "${sessionsTable}" (id, path, filename, content, content_text, mime_type, size_bytes, project, description, creation_date, last_update_date) ` +
- `VALUES ('${randomUUID()}', '${sqlStr(sessionPath)}', '${sessionUuid}.jsonl', E'\\\\x${responseHex}', E'${sqlStr(responseEntry)}', 'application/json', ` +
- `${Buffer.byteLength(responseEntry)}, 'benchmark', 'Stop', '${ts()}', '${ts()}')`
- );
- }
-
- // 3. Read-back: read the summary we wrote (exercises DeeplakeFs.readFile + cache)
- try {
- await fs.readFile(summaryPath);
- } catch { /* may not be synced yet */ }
-
- // 4. Read-back: read another user's summary if it exists (exercises SQL fetch path)
- const otherUser = userId > 0 ? userId - 1 : userId + 1;
- const allPaths = fs.getAllPaths().filter(p => p.startsWith(`/summaries/user_${otherUser}/`));
- if (allPaths.length > 0) {
- try { await fs.readFile(allPaths[0]); } catch {}
- }
-
- // 5. Update summary to completed (exercises writeFileWithMeta UPDATE path)
- const finalContent = placeholderContent.replace("in-progress", "completed");
- await fs.writeFileWithMeta(summaryPath, finalContent, {
- project: "benchmark",
- description: "completed",
- lastUpdateDate: ts(),
- });
- await fs.flush();
-}
-
-// ── Experiment runner ───────────────────────────────────────────────────────
-
-async function runExperiment(numUsers, sessionsPerUser) {
- const expId = `bench-v12-u${numUsers}-s${sessionsPerUser}`;
- console.log(`\n▶ Experiment: ${expId} (${numUsers} users × ${sessionsPerUser} sessions = ${numUsers * sessionsPerUser} total)`);
-
- // Create workspace
- await createWorkspace(expId);
-
- // Create the REAL DeeplakeApi client (same as the plugin uses)
- const memTable = "memory";
- const sessTable = "sessions";
- const api = new DeeplakeApi(TOKEN, API_URL, ORG_ID, expId, memTable);
-
- // Instrument to capture metrics
- const metrics = instrumentApi(api);
-
- // Use the REAL ensureTable (exercises listTables + CREATE)
- await api.ensureTable();
- // Create sessions table with same schema as memory (avoids JSONB permission issues on beta)
- await api.ensureTable(sessTable);
-
- // Bootstrap the REAL DeeplakeFs (exercises sync + metadata load)
- const fs = await DeeplakeFs.create(api, memTable, "/");
-
- // Build session tasks with random stagger
- const tasks = [];
- for (let u = 0; u < numUsers; u++) {
- for (let s = 0; s < sessionsPerUser; s++) {
- const delay = Math.random() * MAX_STAGGER_MS;
- tasks.push({ userId: u, sessionIdx: s, delay });
- }
- }
-
- const expStart = performance.now();
-
- // Launch all sessions concurrently with staggered starts
- // Each session shares the same DeeplakeFs instance (as it would in reality for a single agent,
- // though in practice each agent has its own). This tests the concurrent write batching.
- await Promise.allSettled(
- tasks.map(({ userId, sessionIdx, delay }) =>
- new Promise(resolve => setTimeout(resolve, delay)).then(() =>
- simulateSession(api, fs, sessTable, userId, `s${sessionIdx}`)
- )
- )
- );
-
- // Final flush
- try { await fs.flush(); } catch {}
-
- const expDurationMs = performance.now() - expStart;
-
- // Compute metrics
- const totalQueries = metrics.length;
- const errors = metrics.filter(m => !m.ok);
- const errorRate = totalQueries > 0 ? errors.length / totalQueries : 0;
-
- const byOp = {};
- for (const m of metrics) {
- if (!byOp[m.op]) byOp[m.op] = [];
- byOp[m.op].push(m);
- }
-
- function percentile(arr, p) {
- if (arr.length === 0) return 0;
- const sorted = [...arr].sort((a, b) => a - b);
- const idx = Math.ceil(sorted.length * p / 100) - 1;
- return sorted[Math.max(0, idx)];
- }
-
- const opStats = {};
- for (const [op, entries] of Object.entries(byOp)) {
- const latencies = entries.map(e => e.latencyMs);
- const opErrors = entries.filter(e => !e.ok).length;
- opStats[op] = {
- count: entries.length,
- errors: opErrors,
- errorRate: entries.length > 0 ? opErrors / entries.length : 0,
- p50: percentile(latencies, 50),
- p95: percentile(latencies, 95),
- p99: percentile(latencies, 99),
- min: Math.min(...latencies),
- max: Math.max(...latencies),
- mean: latencies.reduce((a, b) => a + b, 0) / latencies.length,
- };
- }
-
- const allLatencies = metrics.filter(m => m.ok).map(m => m.latencyMs);
-
- const result = {
- experiment: expId,
- numUsers,
- sessionsPerUser,
- totalSessions: numUsers * sessionsPerUser,
- durationMs: expDurationMs,
- totalQueries,
- totalErrors: errors.length,
- errorRate,
- throughputQps: totalQueries / (expDurationMs / 1000),
- overall: allLatencies.length > 0 ? {
- p50: percentile(allLatencies, 50),
- p95: percentile(allLatencies, 95),
- p99: percentile(allLatencies, 99),
- min: Math.min(...allLatencies),
- max: Math.max(...allLatencies),
- mean: allLatencies.reduce((a, b) => a + b, 0) / allLatencies.length,
- } : null,
- byOperation: opStats,
- timeSeries: buildTimeSeries(metrics, expStart),
- };
-
- console.log(` Duration: ${(expDurationMs / 1000).toFixed(1)}s | Queries: ${totalQueries} | Errors: ${errors.length} (${(errorRate * 100).toFixed(1)}%) | QPS: ${result.throughputQps.toFixed(1)}`);
- if (result.overall) {
- console.log(` Latency p50=${result.overall.p50.toFixed(0)}ms p95=${result.overall.p95.toFixed(0)}ms p99=${result.overall.p99.toFixed(0)}ms`);
- }
-
- return result;
-}
-
-function buildTimeSeries(metrics, expStart) {
- if (metrics.length === 0) return [];
- const buckets = {};
- for (const m of metrics) {
- const sec = Math.floor((m.ts - (expStart + performance.timeOrigin)) / 1000);
- const key = Math.max(0, sec);
- if (!buckets[key]) buckets[key] = { second: key, count: 0, errors: 0, latencies: [] };
- buckets[key].count++;
- if (!m.ok) buckets[key].errors++;
- buckets[key].latencies.push(m.latencyMs);
- }
- return Object.values(buckets)
- .sort((a, b) => a.second - b.second)
- .map(b => ({
- second: b.second,
- count: b.count,
- errors: b.errors,
- meanLatencyMs: b.latencies.reduce((a, c) => a + c, 0) / b.latencies.length,
- p95LatencyMs: (() => { const s = b.latencies.sort((a, c) => a - c); return s[Math.ceil(s.length * 0.95) - 1]; })(),
- }));
-}
-
-// ── Main ────────────────────────────────────────────────────────────────────
-
-async function main() {
- console.log(`Deeplake Benchmark Harness (using REAL plugin code)`);
- console.log(`API: ${API_URL} | Org: ${ORG_ID}`);
- console.log(`Users: [${USER_COUNTS}] | Sessions: [${SESSION_COUNTS}]`);
- console.log(`Total experiments: ${USER_COUNTS.length * SESSION_COUNTS.length}`);
-
- const results = [];
-
- for (const users of USER_COUNTS) {
- for (const sessions of SESSION_COUNTS) {
- try {
- const result = await runExperiment(users, sessions);
- results.push(result);
- } catch (e) {
- console.error(` ✗ Experiment u${users}-s${sessions} failed: ${e.message}`);
- results.push({
- experiment: `bench-u${users}-s${sessions}`,
- numUsers: users,
- sessionsPerUser: sessions,
- error: e.message,
- });
- }
- }
- }
-
- mkdirSync(dirname(OUT_FILE), { recursive: true });
- writeFileSync(OUT_FILE, JSON.stringify(results, null, 2));
- console.log(`\nResults written to ${OUT_FILE}`);
-
- console.log("\n═══ Summary ═══");
- console.log("Experiment | Sessions | Queries | Errors | QPS | p50ms | p95ms | p99ms");
- console.log("─────────────────────|----------|---------|--------|--------|-------|-------|------");
- for (const r of results) {
- if (r.error) {
- console.log(`${r.experiment.padEnd(21)}| FAILED: ${r.error}`);
- continue;
- }
- console.log(
- `${r.experiment.padEnd(21)}| ${String(r.totalSessions).padEnd(9)}| ${String(r.totalQueries).padEnd(8)}| ${String(r.totalErrors).padEnd(7)}| ${r.throughputQps.toFixed(1).padEnd(7)}| ${r.overall?.p50?.toFixed(0)?.padEnd(6) ?? "N/A "}| ${r.overall?.p95?.toFixed(0)?.padEnd(6) ?? "N/A "}| ${r.overall?.p99?.toFixed(0) ?? "N/A"}`
- );
- }
-}
-
-main().catch(e => { console.error(e); process.exit(1); });
diff --git a/bench/smoke-test.json b/bench/smoke-test.json
deleted file mode 100644
index 794db10..0000000
--- a/bench/smoke-test.json
+++ /dev/null
@@ -1,244 +0,0 @@
-[
- {
- "experiment": "bench-u5-s1",
- "numUsers": 5,
- "sessionsPerUser": 1,
- "totalSessions": 5,
- "durationMs": 15396.754692,
- "totalQueries": 105,
- "totalErrors": 0,
- "errorRate": 0,
- "throughputQps": 6.819618945709186,
- "overall": {
- "p50": 509.824423,
- "p95": 1735.1806850000003,
- "p99": 3190.555565999999,
- "min": 106.86314399999901,
- "max": 3455.7108180000014,
- "mean": 652.9076229619051
- },
- "byOperation": {
- "create_memory_table": {
- "count": 1,
- "errors": 0,
- "errorRate": 0,
- "p50": 1530.648612,
- "p95": 1530.648612,
- "p99": 1530.648612,
- "min": 1530.648612,
- "max": 1530.648612,
- "mean": 1530.648612
- },
- "create_sessions_table": {
- "count": 1,
- "errors": 0,
- "errorRate": 0,
- "p50": 1735.1806850000003,
- "p95": 1735.1806850000003,
- "p99": 1735.1806850000003,
- "min": 1735.1806850000003,
- "max": 1735.1806850000003,
- "mean": 1735.1806850000003
- },
- "session_start": {
- "count": 5,
- "errors": 0,
- "errorRate": 0,
- "p50": 713.9506230000006,
- "p95": 1126.876069,
- "p99": 1126.876069,
- "min": 509.78562299999976,
- "max": 1126.876069,
- "mean": 749.2716908
- },
- "capture_prompt": {
- "count": 34,
- "errors": 0,
- "errorRate": 0,
- "p50": 558.5687749999997,
- "p95": 936.5138929999994,
- "p99": 1042.6587799999998,
- "min": 389.517237,
- "max": 1042.6587799999998,
- "mean": 600.0288312647057
- },
- "capture_response": {
- "count": 34,
- "errors": 0,
- "errorRate": 0,
- "p50": 518.3933399999987,
- "p95": 1028.1424670000015,
- "p99": 1236.5110059999997,
- "min": 358.4724160000005,
- "max": 1236.5110059999997,
- "mean": 588.6857425000003
- },
- "sync_sessions": {
- "count": 5,
- "errors": 0,
- "errorRate": 0,
- "p50": 151.52173399999992,
- "p95": 356.75340700000015,
- "p99": 356.75340700000015,
- "min": 149.17464499999915,
- "max": 356.75340700000015,
- "mean": 193.27272200000007
- },
- "read_session": {
- "count": 5,
- "errors": 0,
- "errorRate": 0,
- "p50": 393.12578399999984,
- "p95": 523.8901600000008,
- "p99": 523.8901600000008,
- "min": 261.1136640000004,
- "max": 523.8901600000008,
- "mean": 396.6975144000007
- },
- "read_summary": {
- "count": 5,
- "errors": 0,
- "errorRate": 0,
- "p50": 293.87749299999996,
- "p95": 359.89081799999985,
- "p99": 359.89081799999985,
- "min": 141.57292799999777,
- "max": 359.89081799999985,
- "mean": 250.07684339999977
- },
- "bootstrap_metadata": {
- "count": 5,
- "errors": 0,
- "errorRate": 0,
- "p50": 141.77361499999824,
- "p95": 399.62583700000323,
- "p99": 399.62583700000323,
- "min": 106.86314399999901,
- "max": 399.62583700000323,
- "mean": 210.17196200000072
- },
- "bootstrap_sessions": {
- "count": 5,
- "errors": 0,
- "errorRate": 0,
- "p50": 349.51692300000104,
- "p95": 684.5204599999997,
- "p99": 684.5204599999997,
- "min": 155.83400800000163,
- "max": 684.5204599999997,
- "mean": 350.9564598000008
- },
- "session_end": {
- "count": 5,
- "errors": 0,
- "errorRate": 0,
- "p50": 2624.0132980000017,
- "p95": 3455.7108180000014,
- "p99": 3455.7108180000014,
- "min": 2344.3976379999986,
- "max": 3455.7108180000014,
- "mean": 2824.1879288
- }
- },
- "timeSeries": [
- {
- "second": 0,
- "count": 5,
- "errors": 0,
- "meanLatencyMs": 1115.8055912,
- "p95LatencyMs": 1735.1806850000003
- },
- {
- "second": 1,
- "count": 4,
- "errors": 0,
- "meanLatencyMs": 863.790808,
- "p95LatencyMs": 1236.5110059999997
- },
- {
- "second": 2,
- "count": 6,
- "errors": 0,
- "meanLatencyMs": 855.8943111666666,
- "p95LatencyMs": 1042.6587799999998
- },
- {
- "second": 3,
- "count": 5,
- "errors": 0,
- "meanLatencyMs": 782.5187012000002,
- "p95LatencyMs": 884.8117140000013
- },
- {
- "second": 4,
- "count": 9,
- "errors": 0,
- "meanLatencyMs": 564.1219504444447,
- "p95LatencyMs": 724.0650619999997
- },
- {
- "second": 5,
- "count": 8,
- "errors": 0,
- "meanLatencyMs": 542.9753363750001,
- "p95LatencyMs": 692.1938559999999
- },
- {
- "second": 6,
- "count": 9,
- "errors": 0,
- "meanLatencyMs": 549.2585986666664,
- "p95LatencyMs": 825.3112590000001
- },
- {
- "second": 7,
- "count": 11,
- "errors": 0,
- "meanLatencyMs": 578.7768917272726,
- "p95LatencyMs": 810.5215689999986
- },
- {
- "second": 8,
- "count": 10,
- "errors": 0,
- "meanLatencyMs": 414.2353615999997,
- "p95LatencyMs": 542.8542200000011
- },
- {
- "second": 9,
- "count": 11,
- "errors": 0,
- "meanLatencyMs": 702.8489692727278,
- "p95LatencyMs": 3455.7108180000014
- },
- {
- "second": 10,
- "count": 12,
- "errors": 0,
- "meanLatencyMs": 330.8136915833338,
- "p95LatencyMs": 558.5687749999997
- },
- {
- "second": 11,
- "count": 9,
- "errors": 0,
- "meanLatencyMs": 1172.6977300000003,
- "p95LatencyMs": 3190.555565999999
- },
- {
- "second": 12,
- "count": 5,
- "errors": 0,
- "meanLatencyMs": 200.04852460000112,
- "p95LatencyMs": 443.59829700000046
- },
- {
- "second": 13,
- "count": 1,
- "errors": 0,
- "meanLatencyMs": 2344.3976379999986,
- "p95LatencyMs": 2344.3976379999986
- }
- ]
- }
-]
\ No newline at end of file
diff --git a/bench/smoke-v2.json b/bench/smoke-v2.json
deleted file mode 100644
index d396c2a..0000000
--- a/bench/smoke-v2.json
+++ /dev/null
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diff --git a/bench/smoke-v4.json b/bench/smoke-v4.json
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diff --git a/bench/smoke-v5.json b/bench/smoke-v5.json
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diff --git a/bench/smoke-v6.json b/bench/smoke-v6.json
deleted file mode 100644
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diff --git a/bench/smoke-v7.json b/bench/smoke-v7.json
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index 5bfda41..0000000
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\ No newline at end of file