perf: authed data-API throughput is pinned to the knex default pool (~10/replica) with no OS_* knob — a 3-replica cluster saturates at ~25 rps while Postgres sits at ~21/200 connections #14176

Description

@baozhoutao

Summary

On a multi-replica deployment the authed, DB-touching data API saturates at a low, replica-count-bound throughput because the SQL driver never sets a connection pool size and no OS_* env exposes one for the primary datasource — so every replica runs at knex's default pool (max: 10), and the pool, not the database, is the ceiling.

Measured (live 3-replica EE cluster, Traefik LB, Postgres 16 max_connections=200)

Load ramp, 8s/step, throughput = completed req/s across the whole cluster:

pathconc=10conc=50conc=100conc=150
/api/v1/health (no DB)1031 rps1051 rps(1376 @400)
GET /data/note (authed, org-scoped)19 rps, p50 513ms24 rps, p50 1988ms25 rps, p50 3738ms77.8% 503, p99 12.8s
POST /data/note21 rps23 rps25 rps (@80)
  • Authed data throughput plateaus at ~25 rps and latency climbs linearly with concurrency (closed-system saturation: throughput flat ⇒ latency = concurrency ÷ throughput). The static front door does ~1,000–1,400 rps, so Traefik/Node/HTTP is not the constraint.
  • A 45s sustained run at conc=50 held 27 rps / 0 errors / p50 1746ms with no drift — stable, just capped.
  • Throughout, a 5s sampler showed Postgres holding ~9–21 of its 200 connections; at steady state the app accounts for ~9 total across 3 replicas. The DB has ~10× unused headroom. The bottleneck is the client pool, not the server.

Root cause

SqlDriver.withConnectBound (packages/drivers/driver-sql/src/sql-driver.ts:4468) injects only pool.createTimeoutMillis; it sets no pool.min / pool.max, so knex's default (min 2, max 10) applies per driver instance. A repo-wide grep finds no env read for pool sizing (OS_DB_POOL* / POOL_MAX / process.env.*POOL → 0 hits). A per-datasource pool field does exist and pg honors it (#5714), but that is a datasource-config knob — there is no operator-facing env to size the primary datasource's pool (the one behind OS_DATABASE_URL) on a deployment.

Net: 3 replicas × ~3–10 pooled connections ÷ ~350ms per org-scoped query ≈ the ~25 rps observed. Adding replicas raises the ceiling linearly; raising the per-replica pool would too, but the operator has no supported way to do the latter.

Recommendation — expose a pool knob

Add an OS_DB_POOL_MAX (and OS_DB_POOL_MIN) env, read where the primary datasource's knex config is built, and thread it into knexConfig.pool alongside the existing createTimeoutMillis:

pool: { min: envInt('OS_DB_POOL_MIN', 2), max: envInt('OS_DB_POOL_MAX', 10), createTimeoutMillis: DEFAULT_CREATE_TIMEOUT_MS }

Then document it next to max_connections guidance in the self-hosting / cluster docs (the deploy compose already tells operators to tune Postgres max_connections=200 for "N replicas × pool" — but there is currently no way to set the pool half of that product). Sizing rule of thumb: replicas × OS_DB_POOL_MAX < max_connections, leaving headroom for migrations/admin.

Secondary observation (resilience, relates to #13408)

At conc≥150 the data path sheds to 503 rather than queueing; with Traefik readiness-draining, a sustained concurrency spike can drain the whole fleet (the same failure shape as the stuck-datasource readiness case, #13408). A right-sized pool plus a bounded acquire-queue would let the cluster degrade in latency rather than availability.

Found during a cluster load/stress pass; full numbers in the QA record #13404. Lineage: #5714 (datasource pool honored by pg but sqlite drops it), #3769 (pool-exhaustion symptom).

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    , 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Add copy buttons to all
     blocks\n(function() {\n function addCopyButtons() {\n document.querySelectorAll('pre code').forEach(function(codeBlock) {\n if (codeBlock.parentElement.hasAttribute('data-copy-added')) return;\n codeBlock.parentElement.setAttribute('data-copy-added', 'true');\n \n var btn = document.createElement('button');\n btn.textContent = 'Copy';\n btn.style.cssText = 'position:absolute;top:4px;right:4px;padding:2px 8px;font-size:11px;background:#4ecdc4;border:none;border-radius:4px;color:#1a1a2e;cursor:pointer;opacity:0.7;transition:opacity 0.2s;';\n btn.onmouseover = function() { this.style.opacity = '1'; };\n btn.onmouseout = function() { this.style.opacity = '0.7'; };\n btn.onclick = function() {\n navigator.clipboard.writeText(codeBlock.textContent).then(function() {\n btn.textContent = 'Copied!';\n setTimeout(function() { btn.textContent = 'Copy'; }, 1500);\n });\n };\n codeBlock.parentElement.style.position = 'relative';\n codeBlock.parentElement.appendChild(btn);\n });\n }\n \n addCopyButtons();\n \n // Re-run on dynamic content\n var observer = new MutationObserver(addCopyButtons);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Add Copy Buttons to Code Blocks");
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    })();
    (function(){
    try {
    var __m = "github.com";
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    perf: authed data-API throughput is pinned to the knex default pool (~10/replica) with no OS_* knob — a 3-replica cluster saturates at ~25 rps while Postgres sits at ~21/200 connections #14176

    Description

    @baozhoutao

    Summary

    On a multi-replica deployment the authed, DB-touching data API saturates at a low, replica-count-bound throughput because the SQL driver never sets a connection pool size and no OS_* env exposes one for the primary datasource — so every replica runs at knex's default pool (max: 10), and the pool, not the database, is the ceiling.

    Measured (live 3-replica EE cluster, Traefik LB, Postgres 16 max_connections=200)

    Load ramp, 8s/step, throughput = completed req/s across the whole cluster:

    pathconc=10conc=50conc=100conc=150
    /api/v1/health (no DB)1031 rps1051 rps(1376 @400)
    GET /data/note (authed, org-scoped)19 rps, p50 513ms24 rps, p50 1988ms25 rps, p50 3738ms77.8% 503, p99 12.8s
    POST /data/note21 rps23 rps25 rps (@80)
    • Authed data throughput plateaus at ~25 rps and latency climbs linearly with concurrency (closed-system saturation: throughput flat ⇒ latency = concurrency ÷ throughput). The static front door does ~1,000–1,400 rps, so Traefik/Node/HTTP is not the constraint.
    • A 45s sustained run at conc=50 held 27 rps / 0 errors / p50 1746ms with no drift — stable, just capped.
    • Throughout, a 5s sampler showed Postgres holding ~9–21 of its 200 connections; at steady state the app accounts for ~9 total across 3 replicas. The DB has ~10× unused headroom. The bottleneck is the client pool, not the server.

    Root cause

    SqlDriver.withConnectBound (packages/drivers/driver-sql/src/sql-driver.ts:4468) injects only pool.createTimeoutMillis; it sets no pool.min / pool.max, so knex's default (min 2, max 10) applies per driver instance. A repo-wide grep finds no env read for pool sizing (OS_DB_POOL* / POOL_MAX / process.env.*POOL → 0 hits). A per-datasource pool field does exist and pg honors it (#5714), but that is a datasource-config knob — there is no operator-facing env to size the primary datasource's pool (the one behind OS_DATABASE_URL) on a deployment.

    Net: 3 replicas × ~3–10 pooled connections ÷ ~350ms per org-scoped query ≈ the ~25 rps observed. Adding replicas raises the ceiling linearly; raising the per-replica pool would too, but the operator has no supported way to do the latter.

    Recommendation — expose a pool knob

    Add an OS_DB_POOL_MAX (and OS_DB_POOL_MIN) env, read where the primary datasource's knex config is built, and thread it into knexConfig.pool alongside the existing createTimeoutMillis:

    pool: { min: envInt('OS_DB_POOL_MIN', 2), max: envInt('OS_DB_POOL_MAX', 10), createTimeoutMillis: DEFAULT_CREATE_TIMEOUT_MS }
    

    Then document it next to max_connections guidance in the self-hosting / cluster docs (the deploy compose already tells operators to tune Postgres max_connections=200 for "N replicas × pool" — but there is currently no way to set the pool half of that product). Sizing rule of thumb: replicas × OS_DB_POOL_MAX < max_connections, leaving headroom for migrations/admin.

    Secondary observation (resilience, relates to #13408)

    At conc≥150 the data path sheds to 503 rather than queueing; with Traefik readiness-draining, a sustained concurrency spike can drain the whole fleet (the same failure shape as the stuck-datasource readiness case, #13408). A right-sized pool plus a bounded acquire-queue would let the cluster degrade in latency rather than availability.

    Found during a cluster load/stress pass; full numbers in the QA record #13404. Lineage: #5714 (datasource pool honored by pg but sqlite drops it), #3769 (pool-exhaustion symptom).

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      , 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Force GitHub README to respect dark mode\n(function() {\n var style = document.createElement('style');\n style.textContent = '\n .markdown-body {\n color-scheme: dark light;\n }\n .markdown-body pre { background: #161b22 !important; }\n .markdown-body code { background: rgba(110, 118, 129, 0.4) !important; }\n .markdown-body table th, .markdown-body table td { border-color: #30363d !important; }\n .markdown-body img { background: #0d1117; }\n .markdown-body blockquote { border-left-color: #8b949e; }\n .markdown-body hr { border-color: #30363d; }\n ';\n document.head.appendChild(style);\n})();", "GitHub Dark Mode README Fix"); } } catch(__e) { console.warn('[Userscript:GitHub Dark Mode README Fix]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
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      perf: authed data-API throughput is pinned to the knex default pool (~10/replica) with no OS_* knob — a 3-replica cluster saturates at ~25 rps while Postgres sits at ~21/200 connections #14176

      Description

      @baozhoutao

      Summary

      On a multi-replica deployment the authed, DB-touching data API saturates at a low, replica-count-bound throughput because the SQL driver never sets a connection pool size and no OS_* env exposes one for the primary datasource — so every replica runs at knex's default pool (max: 10), and the pool, not the database, is the ceiling.

      Measured (live 3-replica EE cluster, Traefik LB, Postgres 16 max_connections=200)

      Load ramp, 8s/step, throughput = completed req/s across the whole cluster:

      pathconc=10conc=50conc=100conc=150
      /api/v1/health (no DB)1031 rps1051 rps(1376 @400)
      GET /data/note (authed, org-scoped)19 rps, p50 513ms24 rps, p50 1988ms25 rps, p50 3738ms77.8% 503, p99 12.8s
      POST /data/note21 rps23 rps25 rps (@80)
      • Authed data throughput plateaus at ~25 rps and latency climbs linearly with concurrency (closed-system saturation: throughput flat ⇒ latency = concurrency ÷ throughput). The static front door does ~1,000–1,400 rps, so Traefik/Node/HTTP is not the constraint.
      • A 45s sustained run at conc=50 held 27 rps / 0 errors / p50 1746ms with no drift — stable, just capped.
      • Throughout, a 5s sampler showed Postgres holding ~9–21 of its 200 connections; at steady state the app accounts for ~9 total across 3 replicas. The DB has ~10× unused headroom. The bottleneck is the client pool, not the server.

      Root cause

      SqlDriver.withConnectBound (packages/drivers/driver-sql/src/sql-driver.ts:4468) injects only pool.createTimeoutMillis; it sets no pool.min / pool.max, so knex's default (min 2, max 10) applies per driver instance. A repo-wide grep finds no env read for pool sizing (OS_DB_POOL* / POOL_MAX / process.env.*POOL → 0 hits). A per-datasource pool field does exist and pg honors it (#5714), but that is a datasource-config knob — there is no operator-facing env to size the primary datasource's pool (the one behind OS_DATABASE_URL) on a deployment.

      Net: 3 replicas × ~3–10 pooled connections ÷ ~350ms per org-scoped query ≈ the ~25 rps observed. Adding replicas raises the ceiling linearly; raising the per-replica pool would too, but the operator has no supported way to do the latter.

      Recommendation — expose a pool knob

      Add an OS_DB_POOL_MAX (and OS_DB_POOL_MIN) env, read where the primary datasource's knex config is built, and thread it into knexConfig.pool alongside the existing createTimeoutMillis:

      pool: { min: envInt('OS_DB_POOL_MIN', 2), max: envInt('OS_DB_POOL_MAX', 10), createTimeoutMillis: DEFAULT_CREATE_TIMEOUT_MS }
      

      Then document it next to max_connections guidance in the self-hosting / cluster docs (the deploy compose already tells operators to tune Postgres max_connections=200 for "N replicas × pool" — but there is currently no way to set the pool half of that product). Sizing rule of thumb: replicas × OS_DB_POOL_MAX < max_connections, leaving headroom for migrations/admin.

      Secondary observation (resilience, relates to #13408)

      At conc≥150 the data path sheds to 503 rather than queueing; with Traefik readiness-draining, a sustained concurrency spike can drain the whole fleet (the same failure shape as the stuck-datasource readiness case, #13408). A right-sized pool plus a bounded acquire-queue would let the cluster degrade in latency rather than availability.

      Found during a cluster load/stress pass; full numbers in the QA record #13404. Lineage: #5714 (datasource pool honored by pg but sqlite drops it), #3769 (pool-exhaustion symptom).

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        , 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Highlight search terms from Google/DuckDuckGo/Bing referrer\n(function() {\n var ref = document.referrer;\n var terms = [];\n \n if (ref.includes('google.com') || ref.includes('duckduckgo.com') || ref.includes('bing.com')) {\n var url = new URL(ref);\n var q = url.searchParams.get('q') || url.searchParams.get('p');\n if (q) {\n terms = q.split(/\\s+/).filter(function(t) { return t.length > 2; });\n }\n }\n \n if (terms.length === 0) return;\n \n var style = document.createElement('style');\n style.textContent = '.userscript-highlight { background: #fbbf24; color: #1a1a2e; padding: 1px 3px; border-radius: 2px; }';\n document.head.appendChild(style);\n \n function highlight(node) {\n if (node.nodeType === 3) { // text node\n var text = node.textContent;\n var found = false;\n terms.forEach(function(term) {\n var regex = new RegExp('(' + term.replace(/[.*+?^${}()|[\\]\\\\]/g, '\\\\') + ')', 'gi');\n if (regex.test(text)) {\n found = true;\n var frag = document.createDocumentFragment();\n var parts = text.split(regex);\n parts.forEach(function(part, i) {\n if (i % 2 === 0) {\n frag.appendChild(document.createTextNode(part));\n } else {\n var span = document.createElement('span');\n span.className = 'userscript-highlight';\n span.textContent = part;\n frag.appendChild(span);\n }\n });\n node.parentNode.replaceChild(frag, node);\n }\n });\n } else if (node.nodeType === 1 && node.childNodes) { // element\n var skipTags = ['SCRIPT', 'STYLE', 'NOSCRIPT', 'TEXTAREA', 'INPUT', 'SELECT'];\n if (!skipTags.includes(node.tagName)) {\n Array.from(node.childNodes).forEach(highlight);\n }\n }\n }\n \n highlight(document.body);\n \n // Re-highlight on dynamic content\n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1 || node.nodeType === 3) highlight(node);\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Highlight Search Terms"); } } catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
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        perf: authed data-API throughput is pinned to the knex default pool (~10/replica) with no OS_* knob — a 3-replica cluster saturates at ~25 rps while Postgres sits at ~21/200 connections #14176

        Description

        @baozhoutao

        Summary

        On a multi-replica deployment the authed, DB-touching data API saturates at a low, replica-count-bound throughput because the SQL driver never sets a connection pool size and no OS_* env exposes one for the primary datasource — so every replica runs at knex's default pool (max: 10), and the pool, not the database, is the ceiling.

        Measured (live 3-replica EE cluster, Traefik LB, Postgres 16 max_connections=200)

        Load ramp, 8s/step, throughput = completed req/s across the whole cluster:

        pathconc=10conc=50conc=100conc=150
        /api/v1/health (no DB)1031 rps1051 rps(1376 @400)
        GET /data/note (authed, org-scoped)19 rps, p50 513ms24 rps, p50 1988ms25 rps, p50 3738ms77.8% 503, p99 12.8s
        POST /data/note21 rps23 rps25 rps (@80)
        • Authed data throughput plateaus at ~25 rps and latency climbs linearly with concurrency (closed-system saturation: throughput flat ⇒ latency = concurrency ÷ throughput). The static front door does ~1,000–1,400 rps, so Traefik/Node/HTTP is not the constraint.
        • A 45s sustained run at conc=50 held 27 rps / 0 errors / p50 1746ms with no drift — stable, just capped.
        • Throughout, a 5s sampler showed Postgres holding ~9–21 of its 200 connections; at steady state the app accounts for ~9 total across 3 replicas. The DB has ~10× unused headroom. The bottleneck is the client pool, not the server.

        Root cause

        SqlDriver.withConnectBound (packages/drivers/driver-sql/src/sql-driver.ts:4468) injects only pool.createTimeoutMillis; it sets no pool.min / pool.max, so knex's default (min 2, max 10) applies per driver instance. A repo-wide grep finds no env read for pool sizing (OS_DB_POOL* / POOL_MAX / process.env.*POOL → 0 hits). A per-datasource pool field does exist and pg honors it (#5714), but that is a datasource-config knob — there is no operator-facing env to size the primary datasource's pool (the one behind OS_DATABASE_URL) on a deployment.

        Net: 3 replicas × ~3–10 pooled connections ÷ ~350ms per org-scoped query ≈ the ~25 rps observed. Adding replicas raises the ceiling linearly; raising the per-replica pool would too, but the operator has no supported way to do the latter.

        Recommendation — expose a pool knob

        Add an OS_DB_POOL_MAX (and OS_DB_POOL_MIN) env, read where the primary datasource's knex config is built, and thread it into knexConfig.pool alongside the existing createTimeoutMillis:

        pool: { min: envInt('OS_DB_POOL_MIN', 2), max: envInt('OS_DB_POOL_MAX', 10), createTimeoutMillis: DEFAULT_CREATE_TIMEOUT_MS }
        

        Then document it next to max_connections guidance in the self-hosting / cluster docs (the deploy compose already tells operators to tune Postgres max_connections=200 for "N replicas × pool" — but there is currently no way to set the pool half of that product). Sizing rule of thumb: replicas × OS_DB_POOL_MAX < max_connections, leaving headroom for migrations/admin.

        Secondary observation (resilience, relates to #13408)

        At conc≥150 the data path sheds to 503 rather than queueing; with Traefik readiness-draining, a sustained concurrency spike can drain the whole fleet (the same failure shape as the stuck-datasource readiness case, #13408). A right-sized pool plus a bounded acquire-queue would let the cluster degrade in latency rather than availability.

        Found during a cluster load/stress pass; full numbers in the QA record #13404. Lineage: #5714 (datasource pool honored by pg but sqlite drops it), #3769 (pool-exhaustion symptom).

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          , 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Strip utm_, fbclid, gclid, etc. from all links on page\n(function() {\n var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content',\n 'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid',\n 'ref', 'ref_src', 'source', 'medium', 'campaign'];\n \n function cleanUrl(url) {\n try {\n var u = new URL(url, window.location.origin);\n var changed = false;\n trackingParams.forEach(function(p) {\n if (u.searchParams.has(p)) {\n u.searchParams.delete(p);\n changed = true;\n }\n });\n return changed ? u.toString() : url;\n } catch (e) {\n return url;\n }\n }\n \n function cleanLinks() {\n document.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n \n cleanLinks();\n \n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1) {\n if (node.tagName === 'A') cleanLinks();\n node.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Remove Tracking Parameters from Links"); } } catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); } })(); (function(){ try { var __m = "youtube.com"; var __re = new RegExp('^' + "youtube\\.com" + '
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          perf: authed data-API throughput is pinned to the knex default pool (~10/replica) with no OS_* knob — a 3-replica cluster saturates at ~25 rps while Postgres sits at ~21/200 connections #14176

          Description

          @baozhoutao

          Summary

          On a multi-replica deployment the authed, DB-touching data API saturates at a low, replica-count-bound throughput because the SQL driver never sets a connection pool size and no OS_* env exposes one for the primary datasource — so every replica runs at knex's default pool (max: 10), and the pool, not the database, is the ceiling.

          Measured (live 3-replica EE cluster, Traefik LB, Postgres 16 max_connections=200)

          Load ramp, 8s/step, throughput = completed req/s across the whole cluster:

          pathconc=10conc=50conc=100conc=150
          /api/v1/health (no DB)1031 rps1051 rps(1376 @400)
          GET /data/note (authed, org-scoped)19 rps, p50 513ms24 rps, p50 1988ms25 rps, p50 3738ms77.8% 503, p99 12.8s
          POST /data/note21 rps23 rps25 rps (@80)
          • Authed data throughput plateaus at ~25 rps and latency climbs linearly with concurrency (closed-system saturation: throughput flat ⇒ latency = concurrency ÷ throughput). The static front door does ~1,000–1,400 rps, so Traefik/Node/HTTP is not the constraint.
          • A 45s sustained run at conc=50 held 27 rps / 0 errors / p50 1746ms with no drift — stable, just capped.
          • Throughout, a 5s sampler showed Postgres holding ~9–21 of its 200 connections; at steady state the app accounts for ~9 total across 3 replicas. The DB has ~10× unused headroom. The bottleneck is the client pool, not the server.

          Root cause

          SqlDriver.withConnectBound (packages/drivers/driver-sql/src/sql-driver.ts:4468) injects only pool.createTimeoutMillis; it sets no pool.min / pool.max, so knex's default (min 2, max 10) applies per driver instance. A repo-wide grep finds no env read for pool sizing (OS_DB_POOL* / POOL_MAX / process.env.*POOL → 0 hits). A per-datasource pool field does exist and pg honors it (#5714), but that is a datasource-config knob — there is no operator-facing env to size the primary datasource's pool (the one behind OS_DATABASE_URL) on a deployment.

          Net: 3 replicas × ~3–10 pooled connections ÷ ~350ms per org-scoped query ≈ the ~25 rps observed. Adding replicas raises the ceiling linearly; raising the per-replica pool would too, but the operator has no supported way to do the latter.

          Recommendation — expose a pool knob

          Add an OS_DB_POOL_MAX (and OS_DB_POOL_MIN) env, read where the primary datasource's knex config is built, and thread it into knexConfig.pool alongside the existing createTimeoutMillis:

          pool: { min: envInt('OS_DB_POOL_MIN', 2), max: envInt('OS_DB_POOL_MAX', 10), createTimeoutMillis: DEFAULT_CREATE_TIMEOUT_MS }
          

          Then document it next to max_connections guidance in the self-hosting / cluster docs (the deploy compose already tells operators to tune Postgres max_connections=200 for "N replicas × pool" — but there is currently no way to set the pool half of that product). Sizing rule of thumb: replicas × OS_DB_POOL_MAX < max_connections, leaving headroom for migrations/admin.

          Secondary observation (resilience, relates to #13408)

          At conc≥150 the data path sheds to 503 rather than queueing; with Traefik readiness-draining, a sustained concurrency spike can drain the whole fleet (the same failure shape as the stuck-datasource readiness case, #13408). A right-sized pool plus a bounded acquire-queue would let the cluster degrade in latency rather than availability.

          Found during a cluster load/stress pass; full numbers in the QA record #13404. Lineage: #5714 (datasource pool honored by pg but sqlite drops it), #3769 (pool-exhaustion symptom).

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          Metadata

          Assignees

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            None yet

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            , 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Auto-enable theater mode on YouTube\n(function() {\n function tryTheater() {\n var btn = document.querySelector('button[aria-label=\"Theater mode\"], ytd-player #player button[title=\"Theater mode\"]');\n if (btn && !btn.classList.contains('activated')) {\n btn.click();\n }\n }\n \n // Try immediately\n tryTheater();\n \n // Try after navigation (SPA)\n var lastUrl = location.href;\n setInterval(function() {\n if (location.href !== lastUrl) {\n lastUrl = location.href;\n setTimeout(tryTheater, 500);\n }\n }, 1000);\n \n // Also try on player load\n var observer = new MutationObserver(tryTheater);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "YouTube Theater Mode Default"); } } catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
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            perf: authed data-API throughput is pinned to the knex default pool (~10/replica) with no OS_* knob — a 3-replica cluster saturates at ~25 rps while Postgres sits at ~21/200 connections #14176

            Description

            @baozhoutao

            Summary

            On a multi-replica deployment the authed, DB-touching data API saturates at a low, replica-count-bound throughput because the SQL driver never sets a connection pool size and no OS_* env exposes one for the primary datasource — so every replica runs at knex's default pool (max: 10), and the pool, not the database, is the ceiling.

            Measured (live 3-replica EE cluster, Traefik LB, Postgres 16 max_connections=200)

            Load ramp, 8s/step, throughput = completed req/s across the whole cluster:

            pathconc=10conc=50conc=100conc=150
            /api/v1/health (no DB)1031 rps1051 rps(1376 @400)
            GET /data/note (authed, org-scoped)19 rps, p50 513ms24 rps, p50 1988ms25 rps, p50 3738ms77.8% 503, p99 12.8s
            POST /data/note21 rps23 rps25 rps (@80)
            • Authed data throughput plateaus at ~25 rps and latency climbs linearly with concurrency (closed-system saturation: throughput flat ⇒ latency = concurrency ÷ throughput). The static front door does ~1,000–1,400 rps, so Traefik/Node/HTTP is not the constraint.
            • A 45s sustained run at conc=50 held 27 rps / 0 errors / p50 1746ms with no drift — stable, just capped.
            • Throughout, a 5s sampler showed Postgres holding ~9–21 of its 200 connections; at steady state the app accounts for ~9 total across 3 replicas. The DB has ~10× unused headroom. The bottleneck is the client pool, not the server.

            Root cause

            SqlDriver.withConnectBound (packages/drivers/driver-sql/src/sql-driver.ts:4468) injects only pool.createTimeoutMillis; it sets no pool.min / pool.max, so knex's default (min 2, max 10) applies per driver instance. A repo-wide grep finds no env read for pool sizing (OS_DB_POOL* / POOL_MAX / process.env.*POOL → 0 hits). A per-datasource pool field does exist and pg honors it (#5714), but that is a datasource-config knob — there is no operator-facing env to size the primary datasource's pool (the one behind OS_DATABASE_URL) on a deployment.

            Net: 3 replicas × ~3–10 pooled connections ÷ ~350ms per org-scoped query ≈ the ~25 rps observed. Adding replicas raises the ceiling linearly; raising the per-replica pool would too, but the operator has no supported way to do the latter.

            Recommendation — expose a pool knob

            Add an OS_DB_POOL_MAX (and OS_DB_POOL_MIN) env, read where the primary datasource's knex config is built, and thread it into knexConfig.pool alongside the existing createTimeoutMillis:

            pool: { min: envInt('OS_DB_POOL_MIN', 2), max: envInt('OS_DB_POOL_MAX', 10), createTimeoutMillis: DEFAULT_CREATE_TIMEOUT_MS }
            

            Then document it next to max_connections guidance in the self-hosting / cluster docs (the deploy compose already tells operators to tune Postgres max_connections=200 for "N replicas × pool" — but there is currently no way to set the pool half of that product). Sizing rule of thumb: replicas × OS_DB_POOL_MAX < max_connections, leaving headroom for migrations/admin.

            Secondary observation (resilience, relates to #13408)

            At conc≥150 the data path sheds to 503 rather than queueing; with Traefik readiness-draining, a sustained concurrency spike can drain the whole fleet (the same failure shape as the stuck-datasource readiness case, #13408). A right-sized pool plus a bounded acquire-queue would let the cluster degrade in latency rather than availability.

            Found during a cluster load/stress pass; full numbers in the QA record #13404. Lineage: #5714 (datasource pool honored by pg but sqlite drops it), #3769 (pool-exhaustion symptom).

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              , 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Remove or un-stick sticky/fixed headers that block content\n(function() {\n function unstick() {\n document.querySelectorAll('header, nav, [role=\"banner\"], .header, .navbar, .sticky, .fixed-top, [style*=\"position: fixed\"], [style*=\"position:sticky\"]').forEach(function(el) {\n if (el.style.position === 'fixed' || el.style.position === 'sticky' || \n getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') {\n el.style.position = 'static';\n el.style.top = 'auto';\n el.style.zIndex = 'auto';\n }\n });\n }\n \n unstick();\n \n var observer = new MutationObserver(unstick);\n observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] });\n})();", "Kill Sticky Headers"); } } catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
              Skip to content

              perf: authed data-API throughput is pinned to the knex default pool (~10/replica) with no OS_* knob — a 3-replica cluster saturates at ~25 rps while Postgres sits at ~21/200 connections #14176

              Description

              @baozhoutao

              Summary

              On a multi-replica deployment the authed, DB-touching data API saturates at a low, replica-count-bound throughput because the SQL driver never sets a connection pool size and no OS_* env exposes one for the primary datasource — so every replica runs at knex's default pool (max: 10), and the pool, not the database, is the ceiling.

              Measured (live 3-replica EE cluster, Traefik LB, Postgres 16 max_connections=200)

              Load ramp, 8s/step, throughput = completed req/s across the whole cluster:

              pathconc=10conc=50conc=100conc=150
              /api/v1/health (no DB)1031 rps1051 rps(1376 @400)
              GET /data/note (authed, org-scoped)19 rps, p50 513ms24 rps, p50 1988ms25 rps, p50 3738ms77.8% 503, p99 12.8s
              POST /data/note21 rps23 rps25 rps (@80)
              • Authed data throughput plateaus at ~25 rps and latency climbs linearly with concurrency (closed-system saturation: throughput flat ⇒ latency = concurrency ÷ throughput). The static front door does ~1,000–1,400 rps, so Traefik/Node/HTTP is not the constraint.
              • A 45s sustained run at conc=50 held 27 rps / 0 errors / p50 1746ms with no drift — stable, just capped.
              • Throughout, a 5s sampler showed Postgres holding ~9–21 of its 200 connections; at steady state the app accounts for ~9 total across 3 replicas. The DB has ~10× unused headroom. The bottleneck is the client pool, not the server.

              Root cause

              SqlDriver.withConnectBound (packages/drivers/driver-sql/src/sql-driver.ts:4468) injects only pool.createTimeoutMillis; it sets no pool.min / pool.max, so knex's default (min 2, max 10) applies per driver instance. A repo-wide grep finds no env read for pool sizing (OS_DB_POOL* / POOL_MAX / process.env.*POOL → 0 hits). A per-datasource pool field does exist and pg honors it (#5714), but that is a datasource-config knob — there is no operator-facing env to size the primary datasource's pool (the one behind OS_DATABASE_URL) on a deployment.

              Net: 3 replicas × ~3–10 pooled connections ÷ ~350ms per org-scoped query ≈ the ~25 rps observed. Adding replicas raises the ceiling linearly; raising the per-replica pool would too, but the operator has no supported way to do the latter.

              Recommendation — expose a pool knob

              Add an OS_DB_POOL_MAX (and OS_DB_POOL_MIN) env, read where the primary datasource's knex config is built, and thread it into knexConfig.pool alongside the existing createTimeoutMillis:

              pool: { min: envInt('OS_DB_POOL_MIN', 2), max: envInt('OS_DB_POOL_MAX', 10), createTimeoutMillis: DEFAULT_CREATE_TIMEOUT_MS }
              

              Then document it next to max_connections guidance in the self-hosting / cluster docs (the deploy compose already tells operators to tune Postgres max_connections=200 for "N replicas × pool" — but there is currently no way to set the pool half of that product). Sizing rule of thumb: replicas × OS_DB_POOL_MAX < max_connections, leaving headroom for migrations/admin.

              Secondary observation (resilience, relates to #13408)

              At conc≥150 the data path sheds to 503 rather than queueing; with Traefik readiness-draining, a sustained concurrency spike can drain the whole fleet (the same failure shape as the stuck-datasource readiness case, #13408). A right-sized pool plus a bounded acquire-queue would let the cluster degrade in latency rather than availability.

              Found during a cluster load/stress pass; full numbers in the QA record #13404. Lineage: #5714 (datasource pool honored by pg but sqlite drops it), #3769 (pool-exhaustion symptom).

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                None yet

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                , 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Universal Dark Mode - works on any site\n(function() {\n var enabled = true;\n \n function applyDarkMode() {\n if (!enabled) return;\n \n // Create style element if it doesn't exist\n var style = document.getElementById('universal-dark-mode-style');\n if (!style) {\n style = document.createElement('style');\n style.id = 'universal-dark-mode-style';\n document.head.appendChild(style);\n }\n \n // Dark mode CSS - inverts colors but preserves images/video\n style.textContent = '\n /* Invert everything except media */\n html {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #1a1a2e !important;\n }\n \n /* Restore images, videos, iframes, canvas */\n img, video, iframe, canvas, svg, picture, [style*=\"background-image\"] {\n filter: invert(1) hue-rotate(180deg) !important;\n }\n \n /* Preserve specific elements that should not be inverted */\n .no-dark-mode, .no-dark-mode *,\n [data-theme=\"light\"], [data-theme=\"light\"],\n .ace_editor, .ace_editor *,\n .CodeMirror, .CodeMirror *,\n .monaco-editor, .monaco-editor *,\n .markdown-body pre, .markdown-body pre *,\n .highlight, .highlight *,\n pre code, pre code * {\n filter: none !important;\n }\n \n /* Fix common UI elements */\n .modal, .popup, .dropdown-menu, .tooltip, .popover {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #2d2d44 !important;\n border-color: #444 !important;\n }\n \n /* Scrollbars */\n ::-webkit-scrollbar { background: #1a1a2e !important; }\n ::-webkit-scrollbar-thumb { background: #444 !important; }\n ::-webkit-scrollbar-thumb:hover { background: #555 !important; }\n \n /* Selection */\n ::selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ::-moz-selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ';\n }\n \n function removeDarkMode() {\n var style = document.getElementById('universal-dark-mode-style');\n if (style) style.remove();\n }\n \n // Toggle with Alt+Shift+D\n document.addEventListener('keydown', function(e) {\n if (e.altKey && e.shiftKey && e.key === 'D') {\n e.preventDefault();\n enabled = !enabled;\n if (enabled) {\n applyDarkMode();\n console.log('[Universal Dark Mode] Enabled');\n } else {\n removeDarkMode();\n console.log('[Universal Dark Mode] Disabled');\n }\n }\n });\n \n // Apply on load\n applyDarkMode();\n \n // Re-apply on dynamic content\n var observer = new MutationObserver(function(mutations) {\n if (enabled && !document.getElementById('universal-dark-mode-style')) {\n applyDarkMode();\n }\n });\n observer.observe(document.head, { childList: true });\n \n console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle');\n})();", "Universal Dark Mode"); } } catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); } })(); })();
                Skip to content

                perf: authed data-API throughput is pinned to the knex default pool (~10/replica) with no OS_* knob — a 3-replica cluster saturates at ~25 rps while Postgres sits at ~21/200 connections #14176

                Description

                @baozhoutao

                Summary

                On a multi-replica deployment the authed, DB-touching data API saturates at a low, replica-count-bound throughput because the SQL driver never sets a connection pool size and no OS_* env exposes one for the primary datasource — so every replica runs at knex's default pool (max: 10), and the pool, not the database, is the ceiling.

                Measured (live 3-replica EE cluster, Traefik LB, Postgres 16 max_connections=200)

                Load ramp, 8s/step, throughput = completed req/s across the whole cluster:

                pathconc=10conc=50conc=100conc=150
                /api/v1/health (no DB)1031 rps1051 rps(1376 @400)
                GET /data/note (authed, org-scoped)19 rps, p50 513ms24 rps, p50 1988ms25 rps, p50 3738ms77.8% 503, p99 12.8s
                POST /data/note21 rps23 rps25 rps (@80)
                • Authed data throughput plateaus at ~25 rps and latency climbs linearly with concurrency (closed-system saturation: throughput flat ⇒ latency = concurrency ÷ throughput). The static front door does ~1,000–1,400 rps, so Traefik/Node/HTTP is not the constraint.
                • A 45s sustained run at conc=50 held 27 rps / 0 errors / p50 1746ms with no drift — stable, just capped.
                • Throughout, a 5s sampler showed Postgres holding ~9–21 of its 200 connections; at steady state the app accounts for ~9 total across 3 replicas. The DB has ~10× unused headroom. The bottleneck is the client pool, not the server.

                Root cause

                SqlDriver.withConnectBound (packages/drivers/driver-sql/src/sql-driver.ts:4468) injects only pool.createTimeoutMillis; it sets no pool.min / pool.max, so knex's default (min 2, max 10) applies per driver instance. A repo-wide grep finds no env read for pool sizing (OS_DB_POOL* / POOL_MAX / process.env.*POOL → 0 hits). A per-datasource pool field does exist and pg honors it (#5714), but that is a datasource-config knob — there is no operator-facing env to size the primary datasource's pool (the one behind OS_DATABASE_URL) on a deployment.

                Net: 3 replicas × ~3–10 pooled connections ÷ ~350ms per org-scoped query ≈ the ~25 rps observed. Adding replicas raises the ceiling linearly; raising the per-replica pool would too, but the operator has no supported way to do the latter.

                Recommendation — expose a pool knob

                Add an OS_DB_POOL_MAX (and OS_DB_POOL_MIN) env, read where the primary datasource's knex config is built, and thread it into knexConfig.pool alongside the existing createTimeoutMillis:

                pool: { min: envInt('OS_DB_POOL_MIN', 2), max: envInt('OS_DB_POOL_MAX', 10), createTimeoutMillis: DEFAULT_CREATE_TIMEOUT_MS }
                

                Then document it next to max_connections guidance in the self-hosting / cluster docs (the deploy compose already tells operators to tune Postgres max_connections=200 for "N replicas × pool" — but there is currently no way to set the pool half of that product). Sizing rule of thumb: replicas × OS_DB_POOL_MAX < max_connections, leaving headroom for migrations/admin.

                Secondary observation (resilience, relates to #13408)

                At conc≥150 the data path sheds to 503 rather than queueing; with Traefik readiness-draining, a sustained concurrency spike can drain the whole fleet (the same failure shape as the stuck-datasource readiness case, #13408). A right-sized pool plus a bounded acquire-queue would let the cluster degrade in latency rather than availability.

                Found during a cluster load/stress pass; full numbers in the QA record #13404. Lineage: #5714 (datasource pool honored by pg but sqlite drops it), #3769 (pool-exhaustion symptom).

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