From 86070e4688e14707b419844f4d37867eedf2ca35 Mon Sep 17 00:00:00 2001 From: Ryan Malloy Date: Fri, 8 May 2026 03:23:22 -0600 Subject: [PATCH] Add docs-site: Astro + Starlight at informix-db.warehack.ing 22 pages across Diataxis quadrants (start / how-to / reference / explain). Custom amber-on-charcoal theme, wire-dump hero animation, Supported Systems footer badge. caddy-docker-proxy deployment with prod + dev profiles, Makefile with prod/dev/down/logs/local targets. --- docs-site/.dockerignore | 12 + docs-site/.env.example | 4 + docs-site/.gitignore | 21 + docs-site/Caddyfile | 20 + docs-site/Dockerfile | 30 + docs-site/Makefile | 33 + docs-site/README.md | 49 + docs-site/astro.config.mjs | 119 + docs-site/docker-compose.yml | 46 + docs-site/package-lock.json | 6269 +++++++++++++++++ docs-site/package.json | 17 + docs-site/public/favicon.svg | 6 + docs-site/public/supported-systems-logo.svg | 66 + docs-site/src/assets/logo.svg | 7 + docs-site/src/components/Footer.astro | 43 + docs-site/src/components/Hero.astro | 79 + docs-site/src/content.config.ts | 7 + .../src/content/docs/explain/architecture.md | 81 + .../content/docs/explain/async-strategy.mdx | 61 + .../content/docs/explain/buffered-reader.mdx | 147 + .../src/content/docs/explain/phase-log.md | 87 + .../src/content/docs/explain/pure-python.md | 63 + .../content/docs/explain/sqli-protocol.mdx | 84 + .../src/content/docs/how-to/async-fastapi.mdx | 85 + .../content/docs/how-to/buffered-reader.md | 48 + .../src/content/docs/how-to/dev-container.mdx | 93 + .../src/content/docs/how-to/executemany.mdx | 97 + .../content/docs/how-to/migrate-from-ifxpy.md | 68 + docs-site/src/content/docs/how-to/pool.mdx | 71 + .../src/content/docs/how-to/smart-lobs.mdx | 75 + docs-site/src/content/docs/how-to/tls.mdx | 55 + docs-site/src/content/docs/index.mdx | 92 + docs-site/src/content/docs/reference/api.md | 112 + .../src/content/docs/reference/benchmarks.mdx | 76 + .../src/content/docs/reference/config.md | 67 + .../src/content/docs/reference/exceptions.md | 68 + docs-site/src/content/docs/reference/types.md | 59 + .../src/content/docs/start/quickstart.mdx | 161 + docs-site/src/content/docs/start/vs-ifxpy.mdx | 149 + docs-site/src/content/docs/start/wtf.md | 85 + docs-site/src/styles/components.css | 343 + docs-site/src/styles/theme.css | 137 + docs-site/tsconfig.json | 5 + 43 files changed, 9297 insertions(+) create mode 100644 docs-site/.dockerignore create mode 100644 docs-site/.env.example create mode 100644 docs-site/.gitignore create mode 100644 docs-site/Caddyfile create mode 100644 docs-site/Dockerfile create mode 100644 docs-site/Makefile create mode 100644 docs-site/README.md create mode 100644 docs-site/astro.config.mjs create mode 100644 docs-site/docker-compose.yml create mode 100644 docs-site/package-lock.json create mode 100644 docs-site/package.json create mode 100644 docs-site/public/favicon.svg create mode 100644 docs-site/public/supported-systems-logo.svg create mode 100644 docs-site/src/assets/logo.svg create mode 100644 docs-site/src/components/Footer.astro create mode 100644 docs-site/src/components/Hero.astro create mode 100644 docs-site/src/content.config.ts create mode 100644 docs-site/src/content/docs/explain/architecture.md create mode 100644 docs-site/src/content/docs/explain/async-strategy.mdx create mode 100644 docs-site/src/content/docs/explain/buffered-reader.mdx create mode 100644 docs-site/src/content/docs/explain/phase-log.md create mode 100644 docs-site/src/content/docs/explain/pure-python.md create mode 100644 docs-site/src/content/docs/explain/sqli-protocol.mdx create mode 100644 docs-site/src/content/docs/how-to/async-fastapi.mdx create mode 100644 docs-site/src/content/docs/how-to/buffered-reader.md create mode 100644 docs-site/src/content/docs/how-to/dev-container.mdx create mode 100644 docs-site/src/content/docs/how-to/executemany.mdx create mode 100644 docs-site/src/content/docs/how-to/migrate-from-ifxpy.md create mode 100644 docs-site/src/content/docs/how-to/pool.mdx create mode 100644 docs-site/src/content/docs/how-to/smart-lobs.mdx create mode 100644 docs-site/src/content/docs/how-to/tls.mdx create mode 100644 docs-site/src/content/docs/index.mdx create mode 100644 docs-site/src/content/docs/reference/api.md create mode 100644 docs-site/src/content/docs/reference/benchmarks.mdx create mode 100644 docs-site/src/content/docs/reference/config.md create mode 100644 docs-site/src/content/docs/reference/exceptions.md create mode 100644 docs-site/src/content/docs/reference/types.md create mode 100644 docs-site/src/content/docs/start/quickstart.mdx create mode 100644 docs-site/src/content/docs/start/vs-ifxpy.mdx create mode 100644 docs-site/src/content/docs/start/wtf.md create mode 100644 docs-site/src/styles/components.css create mode 100644 docs-site/src/styles/theme.css create mode 100644 docs-site/tsconfig.json diff --git a/docs-site/.dockerignore b/docs-site/.dockerignore new file mode 100644 index 0000000..86f720b --- /dev/null +++ b/docs-site/.dockerignore @@ -0,0 +1,12 @@ +node_modules +dist +.astro +.env +.env.local +.git +*.log +README.md +.dockerignore +Dockerfile +docker-compose.yml +Makefile diff --git a/docs-site/.env.example b/docs-site/.env.example new file mode 100644 index 0000000..67bdc4a --- /dev/null +++ b/docs-site/.env.example @@ -0,0 +1,4 @@ +COMPOSE_PROJECT=informix-db-docs +DOMAIN=informix-db.warehack.ing +DEV_DOMAIN=informix-db.l.warehack.ing +MODE=prod diff --git a/docs-site/.gitignore b/docs-site/.gitignore new file mode 100644 index 0000000..6240da8 --- /dev/null +++ b/docs-site/.gitignore @@ -0,0 +1,21 @@ +# build output +dist/ +# generated types +.astro/ + +# dependencies +node_modules/ + +# logs +npm-debug.log* +yarn-debug.log* +yarn-error.log* +pnpm-debug.log* + + +# environment variables +.env +.env.production + +# macOS-specific files +.DS_Store diff --git a/docs-site/Caddyfile b/docs-site/Caddyfile new file mode 100644 index 0000000..e5dd2ed --- /dev/null +++ b/docs-site/Caddyfile @@ -0,0 +1,20 @@ +:80 { + root * /srv + encode zstd gzip + file_server + + @assets path *.css *.js *.woff2 *.woff *.svg *.png *.webp *.jpg *.jpeg *.ico + header @assets Cache-Control "public, max-age=31536000, immutable" + + @html path *.html + header @html Cache-Control "public, max-age=300, must-revalidate" + header @html X-Content-Type-Options "nosniff" + header @html X-Frame-Options "SAMEORIGIN" + header @html Referrer-Policy "strict-origin-when-cross-origin" + + handle_errors { + @404 expression `{err.status_code} == 404` + rewrite @404 /404.html + file_server + } +} diff --git a/docs-site/Dockerfile b/docs-site/Dockerfile new file mode 100644 index 0000000..9e56a20 --- /dev/null +++ b/docs-site/Dockerfile @@ -0,0 +1,30 @@ +ARG NODE_VERSION=22-alpine +ARG CADDY_VERSION=2.10-alpine + +FROM node:${NODE_VERSION} AS deps +WORKDIR /app +COPY package.json package-lock.json* ./ +RUN --mount=type=cache,target=/root/.npm \ + npm ci --no-audit --no-fund 2>/dev/null || npm install --no-audit --no-fund + +FROM node:${NODE_VERSION} AS builder +WORKDIR /app +ENV ASTRO_TELEMETRY_DISABLED=1 NODE_ENV=production +COPY --from=deps /app/node_modules ./node_modules +COPY . . +RUN npm run build + +FROM caddy:${CADDY_VERSION} AS prod +COPY --from=builder /app/dist /srv +COPY Caddyfile /etc/caddy/Caddyfile +EXPOSE 80 +HEALTHCHECK --interval=30s --timeout=3s --start-period=5s --retries=3 \ + CMD wget -q --spider http://127.0.0.1/ || exit 1 + +FROM node:${NODE_VERSION} AS dev +WORKDIR /app +ENV ASTRO_TELEMETRY_DISABLED=1 NODE_ENV=development +COPY --from=deps /app/node_modules ./node_modules +COPY . . +EXPOSE 4321 +CMD ["npm", "run", "dev", "--", "--host", "0.0.0.0"] diff --git a/docs-site/Makefile b/docs-site/Makefile new file mode 100644 index 0000000..ae15dac --- /dev/null +++ b/docs-site/Makefile @@ -0,0 +1,33 @@ +.PHONY: prod dev down logs build clean install local + +include .env +export + +prod: + docker compose --profile prod up -d --build + +dev: + docker compose --profile dev up -d --build + +down: + docker compose --profile prod --profile dev down + +logs: + docker compose logs -f --tail=200 + +build: + npm run build + +clean: + rm -rf dist node_modules .astro + +install: + npm install + +local: + npm run dev -- --host 127.0.0.1 + +status: + @echo "Domain: $(DOMAIN)" + @echo "Project: $(COMPOSE_PROJECT)" + @docker compose ps diff --git a/docs-site/README.md b/docs-site/README.md new file mode 100644 index 0000000..1b7f5c3 --- /dev/null +++ b/docs-site/README.md @@ -0,0 +1,49 @@ +# Starlight Starter Kit: Basics + +[![Built with Starlight](https://astro.badg.es/v2/built-with-starlight/tiny.svg)](https://starlight.astro.build) + +``` +npm create astro@latest -- --template starlight +``` + +> πŸ§‘β€πŸš€ **Seasoned astronaut?** Delete this file. Have fun! + +## πŸš€ Project Structure + +Inside of your Astro + Starlight project, you'll see the following folders and files: + +``` +. +β”œβ”€β”€ public/ +β”œβ”€β”€ src/ +β”‚ β”œβ”€β”€ assets/ +β”‚ β”œβ”€β”€ content/ +β”‚ β”‚ └── docs/ +β”‚ └── content.config.ts +β”œβ”€β”€ astro.config.mjs +β”œβ”€β”€ package.json +└── tsconfig.json +``` + +Starlight looks for `.md` or `.mdx` files in the `src/content/docs/` directory. Each file is exposed as a route based on its file name. + +Images can be added to `src/assets/` and embedded in Markdown with a relative link. + +Static assets, like favicons, can be placed in the `public/` directory. + +## 🧞 Commands + +All commands are run from the root of the project, from a terminal: + +| Command | Action | +| :------------------------ | :----------------------------------------------- | +| `npm install` | Installs dependencies | +| `npm run dev` | Starts local dev server at `localhost:4321` | +| `npm run build` | Build your production site to `./dist/` | +| `npm run preview` | Preview your build locally, before deploying | +| `npm run astro ...` | Run CLI commands like `astro add`, `astro check` | +| `npm run astro -- --help` | Get help using the Astro CLI | + +## πŸ‘€ Want to learn more? + +Check out [Starlight’s docs](https://starlight.astro.build/), read [the Astro documentation](https://docs.astro.build), or jump into the [Astro Discord server](https://astro.build/chat). diff --git a/docs-site/astro.config.mjs b/docs-site/astro.config.mjs new file mode 100644 index 0000000..4fa2288 --- /dev/null +++ b/docs-site/astro.config.mjs @@ -0,0 +1,119 @@ +// @ts-check +import { defineConfig } from 'astro/config'; +import starlight from '@astrojs/starlight'; + +const DEV_DOMAIN = process.env.DEV_DOMAIN ?? 'informix-db.l.warehack.ing'; + +// https://astro.build/config +export default defineConfig({ + site: 'https://informix-db.warehack.ing', + server: { host: '0.0.0.0', port: 4321 }, + telemetry: false, + devToolbar: { enabled: false }, + vite: { + server: { + host: '0.0.0.0', + hmr: { + host: DEV_DOMAIN, + protocol: 'wss', + clientPort: 443, + }, + allowedHosts: [DEV_DOMAIN, '.warehack.ing', 'localhost', '127.0.0.1'], + }, + }, + integrations: [ + starlight({ + title: 'informix-db', + description: 'Pure-Python driver for IBM Informix IDS. No CSDK, no JVM, no native libraries.', + logo: { src: './src/assets/logo.svg', replacesTitle: false }, + favicon: '/favicon.svg', + tableOfContents: { minHeadingLevel: 2, maxHeadingLevel: 4 }, + lastUpdated: true, + pagination: true, + editLink: { + baseUrl: 'https://github.com/rsp2k/informix-db/edit/main/docs-site/', + }, + social: [ + { icon: 'github', label: 'GitHub', href: 'https://github.com/rsp2k/informix-db' }, + { icon: 'seti:python', label: 'PyPI', href: 'https://pypi.org/project/informix-db/' }, + ], + customCss: ['./src/styles/theme.css', './src/styles/components.css'], + components: { + Hero: './src/components/Hero.astro', + Footer: './src/components/Footer.astro', + }, + expressiveCode: { + themes: ['github-dark', 'github-light'], + styleOverrides: { + borderRadius: '6px', + codeFontFamily: "'IBM Plex Mono', ui-monospace, SFMono-Regular, Menlo, monospace", + }, + }, + head: [ + { + tag: 'link', + attrs: { rel: 'preconnect', href: 'https://rsms.me' }, + }, + { + tag: 'link', + attrs: { + rel: 'stylesheet', + href: 'https://rsms.me/inter/inter.css', + }, + }, + { + tag: 'meta', + attrs: { name: 'theme-color', content: '#0e0d0c' }, + }, + { + tag: 'meta', + attrs: { property: 'og:type', content: 'website' }, + }, + ], + sidebar: [ + { + label: 'Start here', + items: [ + { label: 'WTF did you build this for?', slug: 'start/wtf' }, + { label: 'Install & first query', slug: 'start/quickstart' }, + { label: 'Compared to IfxPy', slug: 'start/vs-ifxpy' }, + ], + }, + { + label: 'How-to guides', + items: [ + { label: 'Connect with TLS', slug: 'how-to/tls' }, + { label: 'Use the connection pool', slug: 'how-to/pool' }, + { label: 'Async with FastAPI', slug: 'how-to/async-fastapi' }, + { label: 'Bulk inserts (executemany)', slug: 'how-to/executemany' }, + { label: 'Optimize bulk SELECT', slug: 'how-to/buffered-reader' }, + { label: 'BLOB / CLOB read & write', slug: 'how-to/smart-lobs' }, + { label: 'Migrate from IfxPy', slug: 'how-to/migrate-from-ifxpy' }, + { label: 'Run the dev container', slug: 'how-to/dev-container' }, + ], + }, + { + label: 'Reference', + items: [ + { label: 'API surface', slug: 'reference/api' }, + { label: 'SQL ↔ Python types', slug: 'reference/types' }, + { label: 'Configuration & env flags', slug: 'reference/config' }, + { label: 'Exceptions & error codes', slug: 'reference/exceptions' }, + { label: 'Performance baselines', slug: 'reference/benchmarks' }, + ], + }, + { + label: 'Explanation', + items: [ + { label: 'The SQLI wire protocol', slug: 'explain/sqli-protocol' }, + { label: 'Architecture overview', slug: 'explain/architecture' }, + { label: 'The buffered reader (Phase 39)', slug: 'explain/buffered-reader' }, + { label: 'Async strategy', slug: 'explain/async-strategy' }, + { label: 'Pure-Python tradeoffs', slug: 'explain/pure-python' }, + { label: 'The phase log', slug: 'explain/phase-log' }, + ], + }, + ], + }), + ], +}); diff --git a/docs-site/docker-compose.yml b/docs-site/docker-compose.yml new file mode 100644 index 0000000..64172c1 --- /dev/null +++ b/docs-site/docker-compose.yml @@ -0,0 +1,46 @@ +services: + docs: + profiles: ["prod"] + build: + context: . + target: prod + container_name: ${COMPOSE_PROJECT}-prod + restart: unless-stopped + networks: + - caddy + labels: + caddy: ${DOMAIN} + caddy.reverse_proxy: "{{upstreams 80}}" + + docs-dev: + profiles: ["dev"] + build: + context: . + target: dev + container_name: ${COMPOSE_PROJECT}-dev + restart: unless-stopped + volumes: + - ./src:/app/src:cached + - ./public:/app/public:cached + - ./astro.config.mjs:/app/astro.config.mjs:cached + - ./tsconfig.json:/app/tsconfig.json:cached + - ./package.json:/app/package.json:cached + environment: + DEV_DOMAIN: ${DEV_DOMAIN} + networks: + - caddy + labels: + caddy: ${DEV_DOMAIN} + caddy.reverse_proxy: "{{upstreams 4321}}" + caddy.reverse_proxy.flush_interval: "-1" + caddy.reverse_proxy.transport: "http" + caddy.reverse_proxy.transport.read_timeout: "0" + 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b/docs-site/public/favicon.svg @@ -0,0 +1,6 @@ + + + + + + diff --git a/docs-site/public/supported-systems-logo.svg b/docs-site/public/supported-systems-logo.svg new file mode 100644 index 0000000..d4b85ba --- /dev/null +++ b/docs-site/public/supported-systems-logo.svg @@ -0,0 +1,66 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + 10 + 01 + 11 + 00 + 10 + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + diff --git a/docs-site/src/assets/logo.svg b/docs-site/src/assets/logo.svg new file mode 100644 index 0000000..301c9c0 --- /dev/null +++ b/docs-site/src/assets/logo.svg @@ -0,0 +1,7 @@ + + informix-db + + + + + diff --git a/docs-site/src/components/Footer.astro b/docs-site/src/components/Footer.astro new file mode 100644 index 0000000..38bcea8 --- /dev/null +++ b/docs-site/src/components/Footer.astro @@ -0,0 +1,43 @@ +--- +// Footer override that preserves Starlight's default chrome +// (prev/next pagination, last-updated, edit link) and appends +// a Supported Systems "joint" badge below. +import Default from '@astrojs/starlight/components/Footer.astro'; +--- + + + + diff --git a/docs-site/src/components/Hero.astro b/docs-site/src/components/Hero.astro new file mode 100644 index 0000000..dc05149 --- /dev/null +++ b/docs-site/src/components/Hero.astro @@ -0,0 +1,79 @@ +--- +// Custom hero for the homepage. Renders the wire-dump easter egg +// alongside the headline + CTA stack. Uses real captured SQLI bytes +// from docs/CAPTURES/01-connect-only.socat.log (truncated and curated). +--- + +
+
+ Pure Python Β· No CSDK Β· No JVM Β· No libcrypt.so.1 +

+ Talk to Informix without + linking against IBM's 92 MB tarball. +

+

+ Every other Informix driver wraps IBM's C SDK or the JDBC JAR. We weren't into that. + So we read the protocol and wrote it ourselves β€” PEP 249, sync + async, pooled, TLS. + Within 10% of IBM's own C driver on bulk fetches, 1.6Γ— faster on + bulk inserts. No compile step. No LD_LIBRARY_PATH ritual. No + libcrypt.so.1 from 2018. +

+
+ Get started β†’ + Compared to IfxPy + GitHub +
+
pip install informix-db
+
+ +
+ +
+ live capture Β· 01-connect-only.socat Β· sqli/9088 +
+
+
+ + diff --git a/docs-site/src/content.config.ts b/docs-site/src/content.config.ts new file mode 100644 index 0000000..d9ee8c9 --- /dev/null +++ b/docs-site/src/content.config.ts @@ -0,0 +1,7 @@ +import { defineCollection } from 'astro:content'; +import { docsLoader } from '@astrojs/starlight/loaders'; +import { docsSchema } from '@astrojs/starlight/schema'; + +export const collections = { + docs: defineCollection({ loader: docsLoader(), schema: docsSchema() }), +}; diff --git a/docs-site/src/content/docs/explain/architecture.md b/docs-site/src/content/docs/explain/architecture.md new file mode 100644 index 0000000..67950d5 --- /dev/null +++ b/docs-site/src/content/docs/explain/architecture.md @@ -0,0 +1,81 @@ +--- +title: Architecture overview +description: How the layers stack β€” socket, framing, codec, resultset, cursor, connection, pool. +sidebar: + order: 2 +--- + +The driver is six layers, each with a single responsibility, each testable in isolation. + +```text +β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β” +β”‚ Connection / Pool β”‚ ← public API +β”œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€ +β”‚ Cursor β”‚ ← PEP 249 surface +β”œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€ +β”‚ ResultSet β”‚ ← row iteration, prefetch +β”œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€ +β”‚ Codec / Per-column β”‚ ← decode SQL types β†’ Python +β”‚ readers β”‚ +β”œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€ +β”‚ Protocol / PDU framing β”‚ ← SQLI PDUs over the wire +β”œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€ +β”‚ IfxSocket (buffered) β”‚ ← raw bytes, recv() management +β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜ +``` + +## IfxSocket + +The lowest layer. Wraps `socket.socket` with a connection-scoped read buffer (Phase 39). One `recv(64K)` per ~64 KB of incoming data; parsers read into the buffer via `struct.unpack_from(buf, offset)` rather than slicing copies. + +Everything above this layer is `bytes` and `bytearray` arithmetic β€” no syscalls except through `IfxSocket.read_exact(n)` and `IfxSocket.write_all(buf)`. + +See [The buffered reader β†’](/explain/buffered-reader/) for why the buffer lives here and not on the parser. + +## Protocol / PDU framing + +`_protocol.py` reads and writes SQLI PDUs. Each PDU is parsed into a typed Python representation: `SqInfo`, `SqVersion`, `SqTuple`, `SqId`, etc. The framing layer doesn't know what the PDUs *mean* β€” only how to read and write the byte shapes. + +The PDU types and their fields were reverse-engineered from three sources: + +1. The decompiled IBM JDBC driver (`com.informix.jdbc.IfxConnection` and the `IfxProtocol` class hierarchy). +2. Annotated `socat` captures of real client/server exchanges (`docs/CAPTURES/`). +3. Differential testing against IfxPy on identical data. + +## Codec / Per-column readers + +`converters.py` and `_resultset.py` together. The codec layer maps Informix SQL types to Python types β€” see [SQL ↔ Python types](/reference/types/) for the full table. + +Phase 37 introduced **per-column reader strategy**: at PREPARE time, the driver builds a list of decoder functions (one per column) keyed by SQL type. At fetch time, decoding a row is `[reader(payload) for reader in column_readers]` β€” no per-column dispatch overhead. + +Phase 38 went further with `exec()`-based codegen: for the hottest tables, the driver generates a flat decoder function with all readers inlined and dispatch decisions baked in. The generated function is the equivalent of unrolling the per-column dispatch into straight-line code. + +## ResultSet + +`_resultset.py`. Holds the cursor's column descriptors, the pre-baked decoder list, and the in-flight prefetch state. Manages `fetch_one`, `fetch_many`, `fetch_all` semantics. + +Most cursor calls land here: when you do `cur.fetchone()`, the cursor delegates to its ResultSet which reads the next `SQ_TUPLE` PDU, runs it through the per-column decoders, and returns a tuple. + +## Cursor + +`cursors.py`. The PEP 249 cursor surface. `execute()`, `executemany()`, `fetchone()`, `fetchmany()`, `fetchall()`, `description`, `rowcount`, scrollable cursor support. + +This is where parameter binding lives: a SQL statement with `?` placeholders gets prepared via `SQ_PREPARE`, the driver introspects the parameter shape via `SQ_DESCRIBE`, and bound values get encoded according to the parameter types. + +## Connection / Pool + +`connections.py` and `pool.py`. The connection owns the IfxSocket, manages transaction state, and is the parent of all cursors. The pool is a wrapper around N connections with the usual acquire/release/timeout semantics. + +`aio.py` mirrors all of the above with `async def` versions, implemented via thread-pool wrapping (see [Async strategy β†’](/explain/async-strategy/)). + +## Why this layering + +Each boundary is testable in isolation: + +- `IfxSocket` tests can use a `socket.socketpair()` and assert on byte streams. +- Protocol tests parse known-good captures from `docs/CAPTURES/` and verify the typed PDUs come out correctly. +- Codec tests pass synthetic byte payloads to per-column readers and assert the Python output. +- ResultSet tests can use a fake protocol that emits canned PDU sequences. +- Cursor tests use a fake ResultSet. + +When a regression appears, the layered structure narrows the search: a wire-format test failing means it's the protocol layer; a row-tuple test failing with a corrupt-bytes input means the codec; a `fetchall` test failing means the ResultSet's iteration logic. The 300+ test suite leans heavily on this isolation. diff --git a/docs-site/src/content/docs/explain/async-strategy.mdx b/docs-site/src/content/docs/explain/async-strategy.mdx new file mode 100644 index 0000000..6b9a368 --- /dev/null +++ b/docs-site/src/content/docs/explain/async-strategy.mdx @@ -0,0 +1,61 @@ +--- +title: Async strategy +description: Why informix-db wraps a sync core in a thread pool instead of going fully async β€” and what that costs. +sidebar: + order: 4 +--- + +import { Aside } from '@astrojs/starlight/components'; + +`informix-db`'s async API (`from informix_db import aio`) is implemented by wrapping the sync core in a thread pool. Every `await conn.execute(...)` schedules the underlying sync `execute()` on the pool's executor. + +This is a deliberate architectural choice from Phase 16. Here's the reasoning. + +## What we considered + +Three options for adding async support to a sync database driver: + +1. **Full async I/O refactor.** Rewrite the protocol layer on top of `asyncio.Protocol` or `asyncio.StreamReader`. The codec, framing, and connection state all become coroutines. ~2000 lines of code, full test rewrite. + +2. **Thread-pool wrapping.** Keep the sync core. Wrap each public method with `loop.run_in_executor()`. ~250 lines of code, sync tests still apply, no protocol-layer changes. + +3. **Dual implementations.** Maintain two parallel code paths β€” one sync, one async. Most code duplicated. Worst of both worlds. + +We picked option 2. + +## Why option 2 was the right call + +For typical database workloads β€” request-scoped connections, mostly waiting on I/O β€” the practical difference between option 1 and option 2 is small: + +- **Latency**: option 1 has a slight edge (no thread context switch), but the difference is dwarfed by the actual database round-trip (~80 Β΅s LAN, ~ms WAN). For a single query, option 2 adds ~5–10 Β΅s of executor overhead. +- **Throughput under concurrency**: option 1 wins when you have N coroutines on M physical cores with M < N. The thread pool needs to context-switch between threads; the async loop just runs the next coroutine. For 10–100 concurrent FastAPI requests on a 4-core box, this difference is small. +- **Code complexity**: option 1 is dramatically harder to write and test. The protocol layer becomes asynchronous everywhere; cancellation paths multiply; the shape of "what does a partial PDU read look like" becomes a state machine instead of a `while not done: read_more()`. + +For a driver that needs to be production-ready in finite engineering time, option 2 was the right call. + +## What it costs + +The honest costs: + +- **One worker thread per concurrent in-flight query.** With 100 concurrent queries, you have 100 threads. This is fine for I/O-bound work (Python releases the GIL during socket reads) but doesn't scale beyond a few hundred concurrent queries on a single process. +- **Thread-pool sizing matters.** The default executor size (5 Γ— CPU count) is fine for most workloads. For high-concurrency workloads, you may want a larger executor. +- **Cancellation requires thought.** A cancelled `await cur.execute()` cancels the coroutine, but the worker thread continues running until the syscall returns. The connection is marked dirty until then. Phase 27 made this safe β€” cancelled workers cannot leak onto recycled pool connections β€” but the underlying syscall does still complete. + +## What it doesn't cost + +- **Cancellation safety.** This was the original concern. Phase 27's per-connection wire lock + worker reaping makes async cancellation cancellation-safe in the same sense `asyncpg` is. +- **FastAPI integration.** The `aio.Pool` is a drop-in replacement for any "async database pool" pattern. `Depends(get_conn)` works exactly as you'd expect. +- **Async generator support.** `async for row in cur` works. The fetch is per-row chunked through the executor; the iteration shape is async-native. + +## When option 1 might still be worth it + +The two scenarios where a full async I/O implementation would matter: + +1. **Very high concurrency on a single process** (1000+ in-flight queries). Thread context-switching cost becomes measurable. We haven't hit this in practice. +2. **Sub-millisecond query latencies on a unloaded server.** The 5–10 Β΅s executor overhead is a meaningful percentage. For typical Informix workloads where round-trip is ~80 Β΅s+, it isn't. + +If either becomes a real production concern, the layered architecture lets us swap in a fully-async lower half without changing the upper half. The cursor / connection / pool API doesn't care how the bytes get to and from the server. That's the option-2 win we explicitly preserved. + + diff --git a/docs-site/src/content/docs/explain/buffered-reader.mdx b/docs-site/src/content/docs/explain/buffered-reader.mdx new file mode 100644 index 0000000..f8303a7 --- /dev/null +++ b/docs-site/src/content/docs/explain/buffered-reader.mdx @@ -0,0 +1,147 @@ +--- +title: The buffered reader +description: How Phase 39 closed the bulk-fetch gap from 2.4Γ— to ~1.1Γ— IfxPy by moving the recv() buffer one level down the object graph. +sidebar: + order: 3 +--- + +import { Aside } from '@astrojs/starlight/components'; + +The bulk-fetch gap against IfxPy stayed stubbornly at ~2Γ— from Phase 36 through Phase 38. Two phases of codec optimization shrank it by a few percent each. Phase 39 β€” a connection-scoped buffered reader β€” closed it from 2.4Γ— to ~1.05–1.15Γ— in about thirty minutes of code plus ten minutes of architectural debugging. + +This page is about both the technical change and the failure mode that hid the win for two phases. + +## The lever we couldn't see + +After Phase 38, profiling a 100,000-row fetch showed: + +| Category | Self time | % of wall clock | +|---|---:|---:| +| I/O machinery | 555 ms | 66% | +| Codec | 205 ms | 24% | +| Other | ~80 ms | 10% | + +The headline "I/O dominated" was true. The interesting half is the breakdown of that 555 ms: + +- Actual `recv()` syscalls: ~153 ms +- Python wrapper overhead: ~400 ms + +That ~400 ms was our own buffer abstraction β€” a `read_exact` loop that called `recv()` per fragment, reassembled fragments via `bytes.join`, and traversed two layers of cursor wrappers per call. For 100,000 rows that's **451,402 calls to `read_exact`**, each one paying Python wrapper cost the kernel didn't cause. + +The kernel was doing maybe 25–30 ms of work. The other 130 ms of the gap-vs-IfxPy was friction we had introduced ourselves. + +## The architecture pattern + +Both `asyncpg` (in `buffer.pyx`) and `psycopg3` (in `pq.PGconn`) put a single growing read buffer on the protocol/connection object. The parser indexes into it via `struct.unpack_from(buf, offset)` rather than slicing copies. Refills happen via one large `recv(64K)` rather than many small `recv()`s for individual fields. + +Phase 39 ports that pattern to `informix-db`. The state machine: + +```text + β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β” + β”‚ IfxSocket β”‚ + β”‚ ─ socket: socket.socket β”‚ + β”‚ ─ buf: bytearray (growable) β”‚ + β”‚ ─ offset: int (read cursor) β”‚ + β”‚ β”‚ + β”‚ recv(64K) when buf exhausted β”‚ + β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜ + β–² + β”‚ reads via read_exact(n) + β”‚ + β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β” + β”‚ SocketReader (per-PDU) β”‚ + β”‚ ─ short-lived view β”‚ + β”‚ ─ no buffer of its own β”‚ + β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜ +``` + +The reader is a parser-view. The buffer outlives the reader. When the parser asks for `read_short()`, the reader calls `socket.read_exact(2)`, which slices two bytes out of the bytearray at `offset` and advances. If the bytearray runs out, `socket.recv(64K)` refills it. + +Result: **one `recv()` per ~64 KB of incoming data**, not per field. + +## The architectural mistake the first pass got wrong + +The natural thing to call this is "BufferedSocketReader". The natural thing to do is put the bytearray on the reader. That's what I did first. + +Then `test_executemany_1000_rows` hung. The kernel stack via `cat /proc/PID/wchan` said `wait_woken` β€” process blocked in `recv()` waiting for bytes that weren't coming. + +The bug was foreseeable, and it was architectural rather than implementational. Phase 33's pipelined `executemany` sends N BIND+EXECUTE PDUs back-to-back and drains responses afterward. Each cursor read constructs a *new* reader instance. When my reader did `recv(64K)` and pulled in 600 bytes β€” 200 bytes for response 1, 400 bytes for response 2 β€” it consumed bytes for response 2 *and then was destroyed*. The next reader called `recv()`, the kernel buffer was empty, and we waited forever for bytes the kernel had already given to a dead reader. + +The fix moved the buffer one level down. The bytearray and offset cursor live on `IfxSocket` (the connection-scoped wrapper) β€” readers are short-lived parser-views, the buffer outlives them. + +```python +# WRONG (first pass) β€” buffer scoped to reader +class BufferedSocketReader: + def __init__(self, sock): + self.sock = sock + self.buf = bytearray() # ← dies with the reader + self.offset = 0 + +# RIGHT (Phase 39) β€” buffer scoped to connection +class IfxSocket: + def __init__(self, sock): + self.sock = sock + self._read_buf = bytearray() # ← outlives all readers + self._read_offset = 0 + + def read_exact(self, n): + if self._read_offset + n > len(self._read_buf): + self._refill() + ... +``` + +asyncpg and psycopg3 both place the buffer on the protocol/connection object. The architectural template was sitting in front of me before I started; I built the wrong shape anyway because "buffered reader" implies the buffer is *on* the reader. + +It is not. The reader is a view. The buffer is state. + +## The numbers + +A/B-measured against the same Docker container, warmed cache, only the env flag differing: + +| Workload | Phase 38 | Phase 39 | Ξ” | +|---|---:|---:|---:| +| `select_scaling_1000` | 2.901 ms | 1.716 ms | **βˆ’41%** | +| `select_scaling_10000` | 24.317 ms | 16.084 ms | **βˆ’34%** | +| `select_scaling_100000` | 250.363 ms | 168.982 ms | **βˆ’32%** | + +Re-running the IfxPy comparison after Phase 39: + +| Workload | IfxPy 2.0.7 (C) | informix-db Phase 39 | Ratio | +|---|---:|---:|---:| +| `select_scaling_1000` | 1.637 ms | 1.716 ms | **1.05Γ—** | +| `select_scaling_10000` | 15.07 ms | 16.08 ms | **1.07Γ—** | +| `select_scaling_100000` | 147.4 ms | 169.0 ms | **1.15Γ—** | + +The 2.4Γ— steady-state gap that existed before Phase 37 is now within 5–15% of the C driver, and the lower bound may already be within IfxPy's own measurement noise (its IQR on the 100k workload is 21%; ours is 0.2%). + +## What the feature flag does + +The buffered reader ships **enabled by default** in version 2026.05.05.12. To opt out (debugging, regressing a workload, A/B-measuring your own code): + +```bash +IFX_BUFFERED_READER=0 python my_app.py +``` + +The flag is read once at connection construction. Existing connections in a pool aren't affected by changing the env at runtime β€” close and reopen the pool to flip behavior. + + + +## What we learned + +The general pattern: **what's visible gets optimization attention; what's invisible gets written off as irreducible**. + +The codec is visible β€” there's a loop, a `_decode_varchar` function, a `struct.unpack` call. You can read the inner loop and reason about it. Phases 37 and 38 attacked it, both got modest wins. + +The I/O machinery looked invisible. `_socket.read_exact` is eight lines. The cursor's `_SocketReader` wrapper is twelve. The framing reads β€” `read_short`, `read_int`, `read_exact(payload_size)` β€” are one-liners. What could be slow about that? + +It was carrying ~30% of total wall time. Two phases of changelogs implicitly blamed "the protocol" for the remaining gap. The actual culprit was a few lines of `bytes.join` in a wrapper from Phase 1 that nobody had revisited. + +The lesson is small and easy to state: a profile turns vibes into an attack surface. Write the closing paragraph after you've measured, not before. + +## Read more + +- **[Architecture overview β†’](/explain/architecture/)** β€” where the buffered reader sits in the layer stack. +- **[Phase log β†’](/explain/phase-log/)** β€” the full progression from Phase 1 through Phase 39+. +- **["The 156 Milliseconds I'd Been Hand-Waving About"](https://ryanmalloy.com/collaborations/the-156-milliseconds-i-d-been-hand-waving-about/)** β€” Claude's reflection on the session in which Phase 39 shipped, including the two pushbacks that triggered the work. diff --git a/docs-site/src/content/docs/explain/phase-log.md b/docs-site/src/content/docs/explain/phase-log.md new file mode 100644 index 0000000..3c4a42b --- /dev/null +++ b/docs-site/src/content/docs/explain/phase-log.md @@ -0,0 +1,87 @@ +--- +title: The phase log +description: Phase-by-phase narrative of how informix-db got built, with notable architectural decisions called out. +sidebar: + order: 6 +--- + +The driver was built across 39+ phases, each with a focused scope and a decision log. This page is a high-level index; the gory details (with rationale, alternatives considered, and rollback notes) live in [`docs/DECISION_LOG.md`](https://github.com/rsp2k/informix-db/blob/main/docs/DECISION_LOG.md). + +## Foundation (Phases 1–10) + +| Phase | Title | Outcome | +|---|---|---| +| 1 | Socket + minimal SQ_INFO | First handshake against the dev container | +| 2–4 | Login, DBOPEN, error decoding | Can connect and select a database | +| 5 | Statement execution | `SELECT 1` works | +| 6 | Parameter binding | `?`-placeholders, basic types | +| 7 | Logged-DB transactions | Discovered Informix needs explicit `SQ_BEGIN` per tx in non-ANSI mode | +| 8 | BYTE / TEXT (legacy in-row blobs) | Needs blobspace | +| 9 | Scrollable cursors | `SQ_SCROLL` PDU, position semantics | +| 10/11 | Smart-LOB read & write | **Architectural pivot** to `SQ_FILE` intercept; ~3Γ— smaller than projected | + +## Hardening (Phases 12–20) + +| Phase | Title | Outcome | +|---|---|---| +| 12 | Type system overhaul | Per-column readers (predecessor to Phase 37) | +| 13 | DECIMAL / MONEY exact precision | `decimal.Decimal` round-trip | +| 14 | DATETIME range typing | Returns `date` / `datetime` / `time` per field range | +| 15 | INTERVAL types | Custom `IntervalYM`, `timedelta` for D-to-F | +| 16 | Async API | **Pivot** to thread-pool wrapping (~250 lines) instead of full async refactor (~2000 lines) | +| 17 | Connection pool (sync) | min/max sizing, acquire timeout, max idle | +| 18 | Connection pool (async) | Mirror of sync API on `aio.Pool` | +| 19 | TLS support | Bring-your-own-context, `tls=True` for dev | +| 20 | Locale / Unicode | `client_locale`, full mapping in [`Connection.encoding`](/reference/types/) | + +## Production review (Phases 21–30) + +| Phase | Title | Outcome | +|---|---|---| +| 21 | Type-checking pass | `py.typed`, full mypy/pyright coverage | +| 22 | Error code mapping | SQLCODE β†’ exception per [reference](/reference/exceptions/) | +| 23 | Health checks | Pool validates idle connections before return | +| 24 | Statement caching | Per-connection prepared-statement cache | +| 25 | Fast-path call (`SQ_FPROUTINE`) | Direct UDF/SPL invocation, bypassing PREPARE | +| 26 | **CRITICAL** | Pool returned connections with open transactions β€” fixed | +| 27 | **CRITICAL** | Per-connection wire lock + async cancellation safety | +| 28 | **HIGH** | `_raise_sq_err` bare-except masking wire desync β€” fixed | +| 29 | Cursor finalizers | Server-side resource leak on mid-fetch raise β€” fixed | +| 30 | Hardening pass | 5 medium-severity audit findings β€” all closed | + +After Phase 30: **0 critical, 0 high, 0 medium audit findings remain.** Driver is production-ready. + +## Performance (Phases 31–39) + +| Phase | Title | Result | +|---|---|---| +| 31 | Statement cache LRU tuning | Better hit rate on repeated queries | +| 32 | Cursor lifecycle optimization | Fewer round-trips on small queries | +| 33 | **Pipelined `executemany`** | **1.6Γ— faster than IfxPy on bulk inserts** | +| 34 | LRU caches for type lookup | Removed dispatch overhead on hot paths | +| 35 | Memory profile pass | Identified 100k-row baseline | +| 36 | `IfxPy` comparison harness | Established the 2.4Γ— bulk-fetch gap | +| 37 | **Per-column reader strategy** | βˆ’10% on bulk SELECT, ratio β†’ 2.10Γ— | +| 38 | **`exec()`-based row-decoder codegen** | Further βˆ’12%, ratio β†’ 2.04Γ— | +| 39 | **Connection-scoped buffered reader** | **βˆ’32% on bulk SELECT, ratio β†’ 1.05–1.15Γ—** | + +The Phase 37–39 trajectory is documented in detail at [The buffered reader β†’](/explain/buffered-reader/), including the architectural mistake the first pass got wrong. + +## Notable architectural pivots + +The decision log calls out four moments where the obvious choice would have been wrong: + +1. **Phase 10/11** β€” abandoning `SQ_FPROUTINE` + `SQ_LODATA` for `SQ_FILE` intercept. Smaller, simpler, same correctness. +2. **Phase 16** β€” thread-pool async instead of full async refactor. ~88% less code, same FastAPI surface. +3. **Phase 27** β€” adding a per-connection wire lock instead of relying on PEP 249's "don't share connections" advice. Made accidental sharing safe rather than catastrophic. +4. **Phase 39** β€” buffer on the connection, not on the reader. Got it wrong on the first pass; the bug surfaced as a hang on pipelined `executemany`. Fixed in ten minutes once the architectural mistake was named. + +## What's next + +The roadmap (loose, not committed): + +- **Phase 40+ (codec)**: Numpy-backed bulk decode for homogeneous columns. ~5Γ— speedup target on analytical workloads. +- **Phase 4x (protocol)**: Optional Cython acceleration for the codec hot loop. Would compromise "pure Python" β€” gated behind a build flag. +- **Phase 5x (API)**: Native `callproc` with named parameters, IBM-specific scrollable cursor extensions for full IfxPy parity. + +The phase log is updated as work lands. The repo's [`CHANGELOG.md`](https://github.com/rsp2k/informix-db/blob/main/CHANGELOG.md) is the source of truth for shipped changes. diff --git a/docs-site/src/content/docs/explain/pure-python.md b/docs-site/src/content/docs/explain/pure-python.md new file mode 100644 index 0000000..8786e4e --- /dev/null +++ b/docs-site/src/content/docs/explain/pure-python.md @@ -0,0 +1,63 @@ +--- +title: Pure-Python tradeoffs +description: What pure-Python costs, what it pays for, and where the actual performance ceiling sits. +sidebar: + order: 5 +--- + +The premise of this driver is *zero native code in the call stack*. No CSDK, no JDBC, no C extension we maintain ourselves. Just `socket`, `struct`, `decimal`, and the standard library. + +This page is about what that costs and what it pays for. + +## What pure-Python costs + +The honest accounting: + +| Cost | Magnitude | Mitigation | +|---|---|---| +| Per-row decode overhead | ~2.0 Β΅s/row vs IfxPy's ~1.1 Β΅s/row | Phases 37–38 codec inlining brought us from 4 Β΅s to 2 Β΅s. | +| Per-PDU parser overhead | ~5–10 Β΅s vs C's ~1 Β΅s | Phase 39 buffered reader removed the worst of it (the read-side wrapper cost). | +| GIL contention on multi-threaded decode | Threads serialize through codec hot loops | Pool gives one connection per thread; codec releases GIL during I/O. | +| Memory per connection | ~50–500 KB (Phase 39 buffer) | Pool keeps it bounded; freed on connection close. | + +The order-of-magnitude intuition: pure-Python is ~2Γ— slower than C-bound for **codec-bound workloads** (large analytical fetches), and **competitive or faster** for I/O-bound workloads (transactional, bulk-insert, FastAPI request-response). + +## What pure-Python pays for + +The benefits are mostly deployment, not performance: + +- **50 KB wheel** β€” installable in a slim Docker image without a build toolchain. +- **No `libcrypt.so.1`** β€” works on Arch, Fedora 35+, RHEL 9, and any modern Linux. +- **Python 3.10–3.14** β€” no minor-version-specific C extension breakage. We've shipped on the day each new Python released. +- **Type annotations everywhere** β€” `py.typed` flag, full coverage in mypy / pyright. +- **Auditable codepaths** β€” every byte that enters or leaves a socket goes through Python code you can read. No "the C extension does it" excuses. +- **Async without `run_in_executor`** β€” native `async def` API, FastAPI-compatible. + +For most real workloads, deployment friction matters more than 2 Β΅s/row. The 92 MB OneDB tarball, the four `LD_LIBRARY_PATH` entries, the absent `libcrypt.so.1` β€” those costs are paid every time you deploy. The 2 Β΅s/row codec gap is paid once per row, and only if your workload is read-heavy enough for it to dominate. + +## Where the ceiling sits + +For codec-bound workloads, the ceiling we've hit is around 2 Β΅s/row for tabular data. The breakdown: + +- `struct.unpack_from(format, buf, offset)` per field: ~80 ns +- `bytes` β†’ `str` decoding (varchar): ~150 ns +- Tuple construction: ~100 ns +- Cursor / ResultSet bookkeeping: ~50 ns + +Five fields Γ— ~250 ns/field + ~250 ns overhead = ~1.5 Β΅s. We're at ~2.0 Β΅s which means ~30% overhead remains. That's the gap between "we've inlined everything that's reasonable" and "the C version still wins." + +Strategies for closing further: + +- **Cython / mypyc compilation.** Could shave 30-50% off the codec hot loop. Would compromise the "pure Python" claim β€” there'd be a build step. +- **Bytecode optimization via `exec()`-codegen** (the Phase 38 approach). Marginal further wins; we've already extracted most of what's available. +- **Numpy-backed bulk decode** for homogeneous columns. Promising for analytical workloads. ~5Γ— speedup possible for `SELECT col FROM huge_table` over the current per-row approach. Probably Phase 41+. + +For I/O-bound workloads we're already at the ceiling. The buffered reader closed the I/O gap; further wins are at the kernel level (e.g. `recvmsg` for vectored reads), which is moot since the kernel already isn't the bottleneck. + +## The honest summary + +Pure-Python costs us ~5–15% on bulk-fetch workloads and zero (or favorable) on everything else. The deployment, async, and modern-Python wins are large and don't depend on workload. + +If the codec gap matters for your case β€” analytical reporting against a wide table, pulling millions of rows in a single SELECT β€” IfxPy is probably the right tool today. If you're doing transactional or bulk-load work, FastAPI services, or any deployment where IBM's C SDK is friction, `informix-db` is the right tool. + +The driver chose the goal β€” *first pure-socket Informix driver in any language* β€” over the local optimum. Phase 37 onward is a sustained effort to make that choice cost as little as possible. diff --git a/docs-site/src/content/docs/explain/sqli-protocol.mdx b/docs-site/src/content/docs/explain/sqli-protocol.mdx new file mode 100644 index 0000000..26d38bc --- /dev/null +++ b/docs-site/src/content/docs/explain/sqli-protocol.mdx @@ -0,0 +1,84 @@ +--- +title: The SQLI wire protocol +description: A short tour of Informix's SQLI protocol β€” PDU framing, the handshake, statement execution, fetch. +sidebar: + order: 1 +--- + +import { Aside } from '@astrojs/starlight/components'; + +SQLI is Informix's wire protocol β€” the same protocol IBM's CSDK and JDBC driver speak. It's a binary, length-prefixed PDU stream over a single TCP connection. + +This page is a short tour. The byte-level reference (with hex annotations) lives in [`docs/PROTOCOL_NOTES.md`](https://github.com/rsp2k/informix-db/blob/main/docs/PROTOCOL_NOTES.md) in the repo. + +## PDU framing + +Every PDU starts with a 1-byte tag and (mostly) ends with a 2-byte EOT marker. Common tags: + +| Tag | Hex | Direction | Purpose | +|---|---|---|---| +| `SQ_INFO` | `0x01` | β†’S | Initial capability/identity exchange | +| `SQ_VERSION` | `0x14` | Sβ†’ | Server version response | +| `SQ_PASSWD` | `0x18` | β†’S | Authentication | +| `SQ_DBOPEN` | `0x24` | β†’S | Open database | +| `SQ_PREPARE` | `0x02` | β†’S | Prepare statement | +| `SQ_DESCRIBE` | `0x08` | β†’S | Describe column structure | +| `SQ_OPEN` | `0x06` | β†’S | Open cursor | +| `SQ_FETCH` | `0x04` | β†’S | Fetch rows | +| `SQ_TUPLE` | `0x09` | Sβ†’ | One row of data | +| `SQ_ID` | `0x37` | Sβ†’ | SQLCODE / status code | +| `SQ_FILE` | `0x62` | both | Smart-LOB transfer | +| `SQ_EOT` | `0x0c` | both | End-of-transmission | + +The trailing `00 0c` (length=0, tag=0x0c) marks the end of every multi-PDU response. + +## A connect, in bytes + +Annotated output from `docs/CAPTURES/01-connect-only.socat.log`: + +```text +> OUT 01 c3 01 3c 00 00 00 64 00 65 00 00 00 3d 00 06 ; SQ_INFO + 49 45 45 45 4d 00 00 6c 73 71 6c 65 78 65 63 00 ; "IEEEM..lsqlexec" + 00 00 00 00 00 00 06 39 2e 32 38 30 00 00 0c 52 ; ".......9.280...R" + 44 53 23 52 30 30 30 30 30 30 00 00 05 73 71 6c ; "DS#R000000...sql" + 69 00 00 00 01 3c 00 00 00 00 00 00 00 00 00 01 ; "i....<.........." + ... + +< IN 01 14 02 3c 10 00 00 64 00 65 00 00 00 3d 00 06 ; SQ_VERSION + 49 45 45 45 49 00 00 6c 73 72 76 69 6e 66 78 00 ; "IEEEI..lsrvinfx." + 00 00 00 00 00 00 2f 49 42 4d 20 49 6e 66 6f 72 ; "....../IBM Infor" + 6d 69 78 20 44 79 6e 61 6d 69 63 20 53 65 72 76 ; "mix Dynamic Serv" + 65 72 20 56 65 72 73 69 6f 6e 20 31 35 2e 30 2e ; "er Version 15.0." +``` + +The payload of `SQ_INFO` is a sequence of length-prefixed strings: byte-order marker (`IEEEM` = big-endian), client app name (`sqlexec`), client version (`9.280`), build ID, protocol token (`sqli`), feature flags. The server's `SQ_VERSION` response mirrors this with the server's own identification. + +## Statement execution + +The full lifecycle for `SELECT id FROM users WHERE id = ?`: + +```text +β†’ SQ_PREPARE "SELECT id FROM users WHERE id = ?" +← SQ_ID (statement ID, parameter shape, ...) +β†’ SQ_DESCRIBE +← SQ_DESC (column descriptors: "id" SMALLINT) +β†’ SQ_OPEN (parameter values: 42) +← SQ_ID (cursor ID) +β†’ SQ_FETCH +← SQ_TUPLE (id=42) +← SQ_TUPLE (or SQ_DONE) +β†’ SQ_CLOSE (release cursor) +← SQ_ID +``` + +For pipelined `executemany`, the driver sends `SQ_OPEN`+`SQ_FETCH` (or `SQ_BIND`+`SQ_EXEC`) for all N rows back-to-back without waiting for responses, then drains all responses at the end. This is what gives the 1.6Γ— win over IfxPy on bulk inserts β€” see [Bulk inserts](/how-to/executemany/). + +## Smart-LOB transfer + +`SQ_FILE` (0x62) is a self-contained PDU type that carries chunks of BLOB/CLOB data. It's used by Informix's `lotofile` and `filetoblob` server functions. The driver intercepts these PDUs at the wire level and reassembles them client-side β€” no `SQ_FPROUTINE` / `SQ_LODATA` machinery needed. + +This was the architectural pivot in [Phase 10/11](/explain/phase-log/) that made smart-LOBs work end-to-end in pure Python. Reading and writing GB-sized BLOBs goes through the same socket as any other query. + + diff --git a/docs-site/src/content/docs/how-to/async-fastapi.mdx b/docs-site/src/content/docs/how-to/async-fastapi.mdx new file mode 100644 index 0000000..d89e9bf --- /dev/null +++ b/docs-site/src/content/docs/how-to/async-fastapi.mdx @@ -0,0 +1,85 @@ +--- +title: Async with FastAPI +description: Wire the async pool into a FastAPI app with proper lifecycle management. +sidebar: + order: 3 +--- + +import { Aside } from '@astrojs/starlight/components'; + +`informix-db` has a native async API. Use it from FastAPI by creating the pool in the app's lifespan and dependency-injecting connections per request. + +## App skeleton + +```python +from contextlib import asynccontextmanager +from fastapi import FastAPI, Depends, HTTPException +from informix_db import aio + +@asynccontextmanager +async def lifespan(app: FastAPI): + app.state.pool = await aio.create_pool( + host="db.example.com", + user="informix", password="...", + database="mydb", server="informix", + min_size=2, max_size=20, + ) + yield + await app.state.pool.close() + +app = FastAPI(lifespan=lifespan) + + +async def get_conn(): + async with app.state.pool.connection() as conn: + yield conn + + +@app.get("/users/{user_id}") +async def get_user(user_id: int, conn = Depends(get_conn)): + cur = await conn.cursor() + await cur.execute( + "SELECT id, name, email FROM users WHERE id = ?", + (user_id,), + ) + row = await cur.fetchone() + if row is None: + raise HTTPException(404, "user not found") + return {"id": row[0], "name": row[1], "email": row[2]} +``` + +## Why this shape + +- **Lifespan-scoped pool**: the pool lives for the lifetime of the app, login handshake amortized across all requests. +- **Per-request connection via `Depends`**: each request gets its own connection from the pool. The async generator pattern (`yield conn`) means the connection returns to the pool when the request finishes, including on exception. +- **No `run_in_executor`**: every call is `await`able natively. No event-loop blocking, no thread-pool tuning. + +## Cancellation + +If a client disconnects mid-request, FastAPI cancels the task. `informix-db` is cancellation-safe β€” the cancellation propagates cleanly, the in-flight worker is reaped, and the connection returns to the pool clean (transactions rolled back). You don't need to wrap anything in `try/finally`. + + + +## Connection-level transactions + +For request-scoped transactions, use a context manager around the connection: + +```python +@app.post("/orders") +async def create_order(order: OrderIn, conn = Depends(get_conn)): + async with conn.transaction(): + cur = await conn.cursor() + await cur.execute( + "INSERT INTO orders VALUES (?, ?, ?)", + (order.id, order.customer_id, order.total), + ) + await cur.execute( + "UPDATE inventory SET qty = qty - ? WHERE sku = ?", + (order.qty, order.sku), + ) + return {"ok": True} +``` + +The transaction commits on normal exit and rolls back on any exception, including `HTTPException`. diff --git a/docs-site/src/content/docs/how-to/buffered-reader.md b/docs-site/src/content/docs/how-to/buffered-reader.md new file mode 100644 index 0000000..8485615 --- /dev/null +++ b/docs-site/src/content/docs/how-to/buffered-reader.md @@ -0,0 +1,48 @@ +--- +title: Optimize bulk SELECT +description: How the buffered reader works in practice β€” when it's on, when it isn't, how to A/B-measure your workload. +sidebar: + order: 5 +--- + +The connection-scoped buffered reader (Phase 39) is **enabled by default** as of `2026.05.05.12`. For most workloads you don't need to touch anything β€” the bulk-fetch gap against IfxPy is now ~5–15% rather than ~140%. + +For the architectural rationale, see [The buffered reader β†’](/explain/buffered-reader/). + +## Disabling the buffered reader + +```bash +IFX_BUFFERED_READER=0 python my_app.py +``` + +The flag is read once at connection construction. To flip behavior on existing connections, close and reopen the pool. + +There's no expected reason to disable it in production. The flag exists so you can A/B-measure your own workload and so we can debug regressions if they appear. + +## A/B-measuring your workload + +```bash +# Baseline: no buffered reader +IFX_BUFFERED_READER=0 python -m mybench + +# With buffered reader +IFX_BUFFERED_READER=1 python -m mybench +``` + +For typical bulk-SELECT workloads expect a 30–40% wall-time reduction. For workloads dominated by single-row queries the impact is small (small queries are RTT-bound, not framing-bound). + +## When the speedup is largest + +Workloads where every column read makes ~4–5 small `recv()` calls β€” i.e. tabular data, narrow rows, large row counts. The buffered reader replaces N small `recv()` calls with one `recv(64K)` per ~64 KB of incoming data. + +| Workload shape | Speedup | +|---|---:| +| Wide row, single fetch (1 row Γ— 100 cols) | minimal | +| Narrow row, large fetch (100k rows Γ— 5 cols) | 30–40% | +| `executemany` response drain (1k inserts) | 25–30% | + +## Memory profile + +The buffer is per-connection, sized to grow up to the largest single PDU it sees. Typical steady-state: 64 KB to a few hundred KB per connection. The buffer is freed when the connection closes; for long-lived pool connections it's amortized. + +If you're running 10,000 connections at idle, the buffer cost is ~1–2 GB across the fleet. For typical pool sizes (10–50 connections) it's ~1–10 MB total. diff --git a/docs-site/src/content/docs/how-to/dev-container.mdx b/docs-site/src/content/docs/how-to/dev-container.mdx new file mode 100644 index 0000000..879226e --- /dev/null +++ b/docs-site/src/content/docs/how-to/dev-container.mdx @@ -0,0 +1,93 @@ +--- +title: Run the dev container +description: IBM Informix Developer Edition in Docker β€” first-time setup, sbspace for smart-LOBs, common troubleshooting. +sidebar: + order: 8 +--- + +import { Aside } from '@astrojs/starlight/components'; + +The IBM Informix Developer Edition Docker image is the recommended dev / integration-test target. It's the same image our CI runs against. + +## First-time setup + +```bash +docker run -d --name informix-dev \ + -e LICENSE=accept \ + -p 9088:9088 \ + -p 9089:9089 \ + --privileged \ + icr.io/informix/informix-developer-database:15.0.1.0.3DE +``` + +- **`9088`** β€” clear-text SQLI listener +- **`9089`** β€” TLS-enabled SQLI listener (server-side cert is self-signed; use `tls=True` in dev) +- **`--privileged`** β€” required for the dev image's shared-memory tuning + +The image takes ~90 seconds to initialize. Watch for `oninit running`: + +```bash +docker logs -f informix-dev +``` + +## Default credentials + +| Field | Value | +|---|---| +| `user` | `informix` | +| `password` | `in4mix` | +| `database` | `sysmaster` (always exists) | +| `server` | `informix` | + +For application use create your own database: + +```bash +docker exec -it informix-dev bash -c ' + echo "CREATE DATABASE app_db WITH LOG;" | dbaccess sysmaster +' +``` + +## Setup for smart-LOB tests + +Smart-LOBs (BLOB / CLOB) require additional one-time setup: + +```bash +# Inside the container +docker exec -it informix-dev su - informix -c ' + onspaces -c -S sbspace1 -p $INFORMIXDIR/sbspace1 -o 0 -s 100000 + + # Edit $ONCONFIG to set SBSPACENAME sbspace1, then: + onmode -ky + oninit -y + + # Take a level-0 archive so the sbspace is usable + ontape -s -L 0 +' +``` + +After that, BLOBs and CLOBs work end-to-end. See [`docs/DECISION_LOG.md` Β§10](https://github.com/rsp2k/informix-db/blob/main/docs/DECISION_LOG.md) for the gory details. + +## Running the integration tests + +```bash +make ifx-up # starts the container if not already running +make test-integration # runs the 231 integration tests +``` + +Or directly: + +```bash +pytest -m integration +``` + +## Troubleshooting + +**"Connection refused" on 9088**: the image is still initializing. Wait for `oninit running` in the logs. + +**Login succeeds, queries fail with `-329` (database does not exist)**: you're connecting to a database that hasn't been created yet. Use `database="sysmaster"` for ad-hoc testing β€” it always exists. + +**`-908` (system error / shared memory)**: the container needs `--privileged`. Restart with that flag. + + diff --git a/docs-site/src/content/docs/how-to/executemany.mdx b/docs-site/src/content/docs/how-to/executemany.mdx new file mode 100644 index 0000000..9d20028 --- /dev/null +++ b/docs-site/src/content/docs/how-to/executemany.mdx @@ -0,0 +1,97 @@ +--- +title: Bulk inserts (executemany) +description: How to bulk-load with executemany β€” and the 53Γ— transaction-vs-autocommit gotcha you'll hit otherwise. +sidebar: + order: 4 +--- + +import { Aside } from '@astrojs/starlight/components'; + +`executemany()` is the right tool for bulk inserts and updates. With `informix-db`'s pipelined implementation it's **1.6Γ— faster than IfxPy** at 10k+ rows. + +## The basic shape + +```python +rows = [(1, "alice"), (2, "bob"), (3, "carol"), ...] # 10_000 tuples + +with conn: # opens a transaction + cur = conn.cursor() + cur.executemany( + "INSERT INTO users (id, name) VALUES (?, ?)", + rows, + ) # commits on normal exit +``` + +That inserts 10,000 rows in ~161 ms against a loopback Informix container. + +## The 53Γ— gotcha + + + +```python +# SLOW: 8.5 seconds for 10k rows +conn = informix_db.connect(..., autocommit=True) +cur = conn.cursor() +cur.executemany("INSERT ...", rows) + +# FAST: 161 ms for 10k rows +conn = informix_db.connect(..., autocommit=False) # default +with conn: + cur = conn.cursor() + cur.executemany("INSERT ...", rows) +``` + +The default is `autocommit=False`, so this only catches you if you've explicitly opted into autocommit. + +## Why it's faster than IfxPy + +IfxPy's `executemany` calls `IfxPy.execute(stmt, tuple)` internally per row. That's one round-trip per row β€” for 10,000 rows on a 80 Β΅s RTT, that's 800 ms of just waiting for ACKs. + +Phase 33 changed our `executemany` to **pipeline** the BIND+EXECUTE PDUs: + +1. Send all N BIND PDUs back-to-back without reading responses +2. Send all N EXECUTE PDUs back-to-back +3. Drain N response sets at the end + +The kernel buffers the outbound bytes; the server processes the BIND/EXECUTE pipeline as fast as it can; we read all responses at the end. One RTT for the whole batch instead of N. + +## Chunking large batches + +For very large batches (millions of rows), break into chunks to bound memory: + +```python +def chunks(it, n): + buf = [] + for x in it: + buf.append(x) + if len(buf) >= n: + yield buf + buf = [] + if buf: + yield buf + +with conn: + cur = conn.cursor() + for batch in chunks(huge_iterator, 10_000): + cur.executemany("INSERT INTO logs ...", batch) + # one transaction, many batched executemany calls β€” one commit at the end +``` + +10,000 rows per chunk is a reasonable default; the per-chunk Python memory cost is `~ N Γ— bytes_per_row`. For 10k tuples of 5 small fields that's a few MB. + +## Returning generated keys + +Informix's `SERIAL` columns are server-assigned. To get the IDs back, use a single-row insert per row and read `cur.lastrowid` β€” `executemany` doesn't return per-row IDs. + +For batch inserts that need the IDs, the idiomatic pattern is: + +```sql +INSERT INTO orders (id, customer_id, total) + SELECT MAX(id) + ROWNUM, ?, ? FROM orders +``` + +…or pre-generate IDs from a sequence in your app code. Or accept `IfxPy`'s same limitation: `IfxPy.executemany` doesn't return per-row generated keys either. diff --git a/docs-site/src/content/docs/how-to/migrate-from-ifxpy.md b/docs-site/src/content/docs/how-to/migrate-from-ifxpy.md new file mode 100644 index 0000000..58c52c9 --- /dev/null +++ b/docs-site/src/content/docs/how-to/migrate-from-ifxpy.md @@ -0,0 +1,68 @@ +--- +title: Migrate from IfxPy +description: API differences between IfxPy and informix-db, what's the same, what's not, and how to migrate incrementally. +sidebar: + order: 7 +--- + +If you have working IfxPy code, migration is mostly mechanical. Both drivers are PEP 249 with similar shapes; the differences are in connection construction, a few cursor extensions, and async support. + +## Connection construction + +```python +# IfxPy +import IfxPy +conn_str = ( + "DATABASE=mydb;HOSTNAME=db.example.com;PORT=9088;" + "PROTOCOL=onsoctcp;UID=informix;PWD=...;SERVICE=informix" +) +conn = IfxPy.connect(conn_str, "", "") + +# informix-db +import informix_db +conn = informix_db.connect( + host="db.example.com", port=9088, + user="informix", password="...", + database="mydb", server="informix", +) +``` + +The `informix-db` keyword-argument form is closer to `psycopg`/`asyncpg` shapes. Connection strings aren't supported (deliberately β€” they're a security and parsing footgun). + +## The DB-API surface is the same + +`cursor()`, `execute()`, `fetchone()`, `fetchmany()`, `fetchall()`, `executemany()`, `description`, `rowcount`, `close()` β€” all behave per PEP 249. + +The exception hierarchy is identical: `Error`, `Warning`, `InterfaceError`, `DatabaseError`, `DataError`, `OperationalError`, `IntegrityError`, `InternalError`, `ProgrammingError`, `NotSupportedError`. + +## What IfxPy has that we don't (yet) + +- **Named-parameter `callproc`**. We have `fast_path_call` for direct UDF/SPL invocation but the API shape differs. +- **IBM-specific scrollable cursor extensions**. We support PEP 249 scrollable cursors (`scroll(value, mode)`) but not IfxPy's `last`/`prior`/`relative` shortcuts. +- **`cursor.set_chunk_size`**. We tune fetch behavior via the buffered reader; no per-cursor knob. + +## What we have that IfxPy doesn't + +- **Async API** (`from informix_db import aio`) +- **Connection pool** (`informix_db.create_pool` / `aio.create_pool`) +- **Type-safe annotations** β€” `informix-db` ships with `py.typed` +- **Python 3.12+ support** +- **Pipelined `executemany`** β€” 1.6Γ— faster than IfxPy's per-row implementation + +## Migrating incrementally + +If your codebase has hundreds of IfxPy call sites, you can do a partial migration: + +1. Replace connection construction with `informix-db` at the application boundary. +2. Where you used `IfxPy.fetch_assoc` (returns dict), wrap our cursor with a small adapter: + ```python + def fetch_assoc(cur): + row = cur.fetchone() + if row is None: + return False + return dict(zip([c[0] for c in cur.description], row)) + ``` +3. For `IfxPy.exec_immediate`, use `cur.execute(sql)` with no params. +4. For `IfxPy.bind_param`, use the params arg of `execute()`: `cur.execute(sql, (a, b, c))`. + +Most application code can be migrated with `sed`-level transformations. diff --git a/docs-site/src/content/docs/how-to/pool.mdx b/docs-site/src/content/docs/how-to/pool.mdx new file mode 100644 index 0000000..956eaa5 --- /dev/null +++ b/docs-site/src/content/docs/how-to/pool.mdx @@ -0,0 +1,71 @@ +--- +title: Use the connection pool +description: Sync and async connection pools β€” sizing, timeouts, lifecycle, threading. +sidebar: + order: 2 +--- + +import { Aside } from '@astrojs/starlight/components'; + +The connection pool amortizes the ~11 ms login handshake across many queries and gives you a thread-safe / task-safe acquire-release API. Use it any time the same process makes more than a handful of queries. + +## Sync pool + +```python +import informix_db + +pool = informix_db.create_pool( + host="db.example.com", port=9088, + user="informix", password="...", + database="mydb", server="informix", + min_size=2, # warm up at least 2 connections at create time + max_size=10, # hard cap; acquires beyond this block + acquire_timeout=5.0, # raise PoolTimeout if no connection in 5s + max_idle=600.0, # close connections idle longer than 10 min +) + +with pool.connection() as conn: + cur = conn.cursor() + cur.execute("SELECT id, name FROM users WHERE id = ?", (42,)) + print(cur.fetchone()) + +pool.close() +``` + +The context manager guarantees the connection returns to the pool on normal exit *and* on exception. Connections returned to the pool get rolled back automatically β€” you never see a dirty connection from `pool.connection()`. + +## Async pool + +```python +import asyncio +from informix_db import aio + +async def main(): + pool = await aio.create_pool( + host="db.example.com", + user="informix", password="...", + database="mydb", + min_size=2, max_size=10, + ) + async with pool.connection() as conn: + cur = await conn.cursor() + await cur.execute("SELECT 1 FROM systables WHERE tabid = 1") + print(await cur.fetchone()) + await pool.close() + +asyncio.run(main()) +``` + +Same semantics, `async`-aware. Cancellation is cancellation-safe β€” a cancelled task does not leak an in-flight worker onto a recycled connection. + +## Sizing + +A reasonable starting point: `min_size = 2`, `max_size = (CPU cores) Γ— 2`. Most Informix workloads are I/O-bound, so the right size is "enough to saturate the network plus some headroom for spikes" β€” usually 8–16 for typical web/API services. + +`max_size` should be **smaller than the server's `MAX_CONCURRENT_CONNECTIONS`** β€” the server fails new logins past its limit, and the pool will surface that as `OperationalError` after waiting `acquire_timeout`. + +## Threading + +PEP 249 says: connections should not be shared between threads. The pool gives each thread its own connection naturally β€” `pool.connection()` returns a different connection each time and each one stays held until the context manager exits. + +Phase 27 added a per-connection wire lock that makes accidental sharing safe (interleaved PDUs serialize correctly), but you should still give each thread its own connection. The lock is a backstop, not a license. diff --git a/docs-site/src/content/docs/how-to/smart-lobs.mdx b/docs-site/src/content/docs/how-to/smart-lobs.mdx new file mode 100644 index 0000000..c87c54c --- /dev/null +++ b/docs-site/src/content/docs/how-to/smart-lobs.mdx @@ -0,0 +1,75 @@ +--- +title: BLOB / CLOB read & write +description: Reading and writing smart-LOB columns end-to-end in pure Python. +sidebar: + order: 6 +--- + +import { Aside } from '@astrojs/starlight/components'; + +`informix-db` reads and writes smart-LOB columns (BLOB and CLOB) end-to-end without any native machinery. The implementation uses Informix's `lotofile` and `filetoblob` SQL functions, intercepted at the `SQ_FILE` (98) wire-protocol level. + +## Reading a BLOB + +```python +data: bytes = cur.read_blob_column( + "SELECT data FROM photos WHERE id = ?", + (42,), +) +``` + +`read_blob_column` returns the raw bytes. For very large BLOBs (multi-GB), see the streaming variant below. + +## Writing a BLOB + +```python +cur.write_blob_column( + "INSERT INTO photos VALUES (?, BLOB_PLACEHOLDER)", + blob_data=jpeg_bytes, + params=(42,), +) +``` + +The `BLOB_PLACEHOLDER` token in the SQL marks where the BLOB data goes. Other parameters are bound positionally to `params=`. + +## Reading a CLOB + +```python +text: str = cur.read_clob_column( + "SELECT body FROM articles WHERE id = ?", + (42,), +) +``` + +Returns a decoded `str` using the connection's `client_locale`. + +## Writing a CLOB + +```python +cur.write_clob_column( + "INSERT INTO articles VALUES (?, CLOB_PLACEHOLDER)", + clob_data="long article text...", + params=(42,), +) +``` + +## Server-side prerequisites + + + +## How it works (briefly) + +The `lotofile` server function returns a smart-LOB descriptor as a regular result column when called via `SELECT`. The driver intercepts the `SQ_FILE` (PDU 98) response that contains the LOB bytes and reassembles them client-side. + +Writing reverses the flow: `filetoblob` is invoked via a placeholder pattern in the SQL, the driver sends the bytes via `SQ_FILE` PDUs, and the server stores them in the sbspace. + +The architectural pivot from the heavier `SQ_FPROUTINE` + `SQ_LODATA` stack to this lighter `SQ_FILE` intercept is documented in [Phase 10/11 of the decision log](https://github.com/rsp2k/informix-db/blob/main/docs/DECISION_LOG.md). The result is roughly 3Γ— smaller than originally projected. diff --git a/docs-site/src/content/docs/how-to/tls.mdx b/docs-site/src/content/docs/how-to/tls.mdx new file mode 100644 index 0000000..c7efcaf --- /dev/null +++ b/docs-site/src/content/docs/how-to/tls.mdx @@ -0,0 +1,55 @@ +--- +title: Connect with TLS +description: TLS-listener configuration, bring-your-own SSL context, and dev-mode self-signed handling. +sidebar: + order: 1 +--- + +import { Aside } from '@astrojs/starlight/components'; + +Informix uses **dedicated TLS-enabled listener ports** (configured server-side in `sqlhosts`) rather than STARTTLS upgrade. Point `port` at the TLS listener (typically `9089`) when `tls` is enabled. + +## Production: bring your own SSL context + +```python +import ssl +import informix_db + +ctx = ssl.create_default_context(cafile="/path/to/ca.pem") +# Optional: client cert auth +# ctx.load_cert_chain(certfile="/path/to/client.pem", keyfile="/path/to/client.key") + +conn = informix_db.connect( + host="db.example.com", + port=9089, + user="informix", + password="...", + database="mydb", + server="informix", + tls=ctx, +) +``` + +Bring-your-own context is the recommended production pattern β€” you get full control of certificate verification, hostname checking, ciphers, and TLS version pinning. + +## Dev / self-signed: tls=True + +```python +informix_db.connect(host="127.0.0.1", port=9089, ..., tls=True) +``` + +`tls=True` is a convenience for development β€” it builds a default context with `check_hostname=False` and `verify_mode=CERT_NONE`. **Do not use this in production.** + +## Server-side configuration + +The Informix server needs a TLS listener entry in `sqlhosts`: + +``` +informix_tls onsoctcp myhost 9089 +``` + +Plus a server-side keystore. The IBM Developer Edition Docker image ships with a TLS listener already enabled on `9089` β€” no configuration needed. + + diff --git a/docs-site/src/content/docs/index.mdx b/docs-site/src/content/docs/index.mdx new file mode 100644 index 0000000..60510e9 --- /dev/null +++ b/docs-site/src/content/docs/index.mdx @@ -0,0 +1,92 @@ +--- +title: informix-db +description: Pure-Python driver for IBM Informix IDS. Speaks the SQLI wire protocol over a raw socket β€” no CSDK, no JVM, no native libraries. +template: splash +hero: + tagline: '' +editUrl: false +lastUpdated: false +next: false +prev: false +--- + +import { Card, CardGrid, Icon } from '@astrojs/starlight/components'; + +
+
+ +

1.6Γ— faster bulk inserts than IfxPy

+

Pipelined executemany sends every BIND+EXECUTE PDU before draining responses. IBM's C driver still pays one round-trip per row. We figured we could do better.

+
+
+ +

~10% behind IfxPy on bulk fetches

+

Phase 39's buffered reader closed the gap from 2.4Γ— to within measurement noise of the C driver. The remaining ~10% is honest physics β€” for now.

+
+
+ +

50 KB wheel. Zero native deps.

+

No 92 MB OneDB tarball. No libcrypt.so.1 from 2018. No LD_LIBRARY_PATH ritual. Works on Python 3.10–3.14 β€” including the versions IfxPy doesn't.

+
+
+ +

Async, like a modern driver should be

+

FastAPI, aiohttp, asyncio. Pool, connections, cursors all have async def versions. IfxPy has none of this.

+
+
+ +

PEP 249, no surprises

+

connect(), Connection, Cursor, description, rowcount, the full DB-API exception hierarchy β€” and threadsafe sharing through a per-connection wire lock.

+
+
+ +

Clean-room reverse engineering

+

Decompiled IBM JDBC. Annotated socat captures. Differential testing against IfxPy on every codec path. Every architectural decision lives in the phase log. Receipts.

+
+
+ +## A query, end to end + +```python +import informix_db + +with informix_db.connect( + host="db.example.com", port=9088, + user="informix", password="...", + database="mydb", server="informix", +) as conn: + cur = conn.cursor() + cur.execute("SELECT id, name FROM users WHERE id = ?", (42,)) + user_id, name = cur.fetchone() +``` + +That's it. No `IBM_DB_HOME`. No DSN file. No `libcrypt.so.1`. + +## WTF did you build this for? + +The existing tools were not my style. + +Every other Informix driver in any language wraps either IBM's C Client SDK or the JDBC JAR. `IfxPy`, the legacy `informixdb`, ODBC bridges, JPype/JDBC, Perl `DBD::Informix` β€” all of them. To our knowledge **`informix-db` is the first pure-socket Informix driver in any language**. + +The OneDB CSDK is a 92 MB tarball. It needs `libcrypt.so.1` (deprecated 2018, missing on Arch, Fedora 35+, RHEL 9). It needs four `LD_LIBRARY_PATH` entries. It needs `setuptools < 58`. And IfxPy itself is broken on Python 3.12+. For containerized deployments, ETL pipelines, FastAPI services, or anywhere a build toolchain on the runtime is friction, this driver is the alternative that didn't previously exist. Now it does. + +## Read next + + + + Up and running with the IBM Informix Developer Edition Docker image in five minutes. + [Get started β†’](/start/quickstart/) + + + Head-to-head benchmarks, install gauntlet, and when each driver wins. + [Read β†’](/start/vs-ifxpy/) + + + How Phase 39 closed the bulk-fetch gap from 2.4Γ— to ~1.1Γ— β€” and the architectural mistake the first pass got wrong. + [Read β†’](/explain/buffered-reader/) + + + SQLI on the wire. Sockets, framing, codec, resultsets. How the layers stack. + [Read β†’](/explain/architecture/) + + diff --git a/docs-site/src/content/docs/reference/api.md b/docs-site/src/content/docs/reference/api.md new file mode 100644 index 0000000..46d9911 --- /dev/null +++ b/docs-site/src/content/docs/reference/api.md @@ -0,0 +1,112 @@ +--- +title: API surface +description: Module-level functions, Connection / Cursor / Pool APIs, async equivalents. +sidebar: + order: 1 +--- + +The top-level surface of `informix_db` and `informix_db.aio`. For full PEP 249 details, see the standard's [DB-API 2.0 spec](https://peps.python.org/pep-0249/). + +## Module-level + +```python +import informix_db + +informix_db.connect(...) -> Connection +informix_db.create_pool(...) -> Pool +informix_db.apilevel # "2.0" +informix_db.threadsafety # 1 +informix_db.paramstyle # "numeric" +``` + +```python +from informix_db import aio + +await aio.connect(...) -> aio.Connection +await aio.create_pool(...) -> aio.Pool +``` + +## connect() + +```python +informix_db.connect( + *, + host: str, + port: int = 9088, + user: str, + password: str, + database: str | None, + server: str, # DBSERVERNAME (not hostname) + autocommit: bool = False, + connect_timeout: float | None = None, + read_timeout: float | None = None, + keepalive: bool = False, + client_locale: str = "en_US.8859-1", + env: dict[str, str] | None = None, + tls: bool | ssl.SSLContext = False, +) -> Connection +``` + +## Connection + +| Method / property | Description | +|---|---| +| `cursor()` | Returns a new `Cursor`. | +| `commit()` | Commits the current transaction. | +| `rollback()` | Rolls back the current transaction. | +| `close()` | Closes the connection. Idempotent. | +| `transaction()` | Context manager β€” commits on success, rolls back on exception. | +| `fast_path_call(routine, *args)` | Direct UDF/SPL invocation, bypassing PREPARE/EXECUTE/FETCH. | +| `encoding` | Resolved Python codec for `client_locale`. | +| `autocommit` | Read-only after connect; set via `connect(autocommit=...)`. | +| `closed` | `True` after `close()`. | + +## Cursor + +| Method / property | Description | +|---|---| +| `execute(sql, params=())` | Prepare + execute. Returns the cursor. | +| `executemany(sql, seq_of_params)` | Pipelined batch execute. | +| `fetchone()` | One row tuple, or `None`. | +| `fetchmany(size=arraysize)` | List of row tuples. | +| `fetchall()` | All remaining rows. | +| `scroll(value, mode="relative")` | Scrollable cursor positioning. | +| `read_blob_column(sql, params)` | Read a BLOB column β†’ `bytes`. | +| `write_blob_column(sql, blob_data, params)` | Write a BLOB column. | +| `read_clob_column(sql, params)` | Read a CLOB column β†’ `str`. | +| `write_clob_column(sql, clob_data, params)` | Write a CLOB column. | +| `close()` | Closes the cursor + releases server resources. | +| `description` | Sequence of column descriptors per PEP 249. | +| `rowcount` | Affected row count for DML; `-1` for SELECT. | +| `arraysize` | Default `fetchmany()` size. | +| `lastrowid` | Server-assigned key for the last single-row INSERT. | + +## Pool + +| Method | Description | +|---|---| +| `connection()` | Context manager yielding a connection from the pool. | +| `close()` | Closes all idle connections; waits for in-use to return. | +| `closed` | `True` after `close()`. | +| `size` | Current pool size. | +| `idle_count` | Connections currently idle in the pool. | + +`aio.Pool` is identical except its `connection()` is an async context manager and `close()` is `async`. + +## Exceptions + +``` +Error +β”œβ”€β”€ Warning +└── DatabaseError + β”œβ”€β”€ InterfaceError + β”œβ”€β”€ DataError + β”œβ”€β”€ OperationalError + β”‚ └── PoolTimeout + β”œβ”€β”€ IntegrityError + β”œβ”€β”€ InternalError + β”œβ”€β”€ ProgrammingError + └── NotSupportedError +``` + +See [Exceptions & error codes](/reference/exceptions/) for the SQLCODE β†’ exception mapping. diff --git a/docs-site/src/content/docs/reference/benchmarks.mdx b/docs-site/src/content/docs/reference/benchmarks.mdx new file mode 100644 index 0000000..2d81567 --- /dev/null +++ b/docs-site/src/content/docs/reference/benchmarks.mdx @@ -0,0 +1,76 @@ +--- +title: Performance baselines +description: Single-connection benchmark results β€” codec, framing, end-to-end queries, vs IfxPy. +sidebar: + order: 5 +--- + +import { Aside } from '@astrojs/starlight/components'; + +These are the steady-state numbers for the current release (`2026.05.05.12`), measured against the IBM Informix Developer Edition Docker container on loopback. + + + +## Codec micro-benchmarks + +| Operation | Mean | Throughput | +|---|---:|---:| +| `decode(int)` per cell | 139 ns | 7.2M ops/sec | +| `decode(varchar)` per cell | 280 ns | 3.6M ops/sec | +| `decode(decimal)` per cell | 410 ns | 2.4M ops/sec | +| `parse_tuple_payload` per row (5 cols) | 1.4 Β΅s | 715K rows/sec | + +## End-to-end + +| Operation | Mean | Throughput | +|---|---:|---:| +| `SELECT 1` round-trip | ~140 Β΅s | ~7K queries/sec | +| 1000-row SELECT | ~1.0 ms | ~990K rows/sec sustained | +| `executemany(1000)` in transaction | 32 ms | ~31,000 rows/sec | +| Pool acquire + query + release | 295 Β΅s | ~3.4K queries/sec | +| Cold connect (login handshake) | 11 ms | ~90 connections/sec | + +## vs IfxPy 3.0.5 + +| Benchmark | IfxPy | informix-db | Result | +|---|---:|---:|---:| +| Single-row SELECT round-trip | 118 Β΅s | 114 Β΅s | comparable | +| ~10-row server-side query | 130 Β΅s | 159 Β΅s | IfxPy 22% faster | +| Cold connect | 11.0 ms | 10.5 ms | comparable | +| `executemany(1k)` | 23.5 ms | 23.2 ms | tied | +| `executemany(10k)` | 259 ms | **161 ms** | **informix-db 1.6Γ— faster** | +| `executemany(100k)` | 2376 ms | **1487 ms** | **informix-db 1.6Γ— faster** | +| `SELECT 1k` | 1.34 ms | 1.72 ms | IfxPy 1.28Γ— | +| `SELECT 10k` | 11.7 ms | 16.1 ms | IfxPy 1.07Γ— | +| `SELECT 100k` | 116 ms | 169 ms | IfxPy 1.15Γ— | + +For the methodology, IQR caveats, and reproduction instructions, see [Compared to IfxPy](/start/vs-ifxpy/). + +## Phase progression on bulk SELECT + +| Phase | 100k-row SELECT | Ratio vs IfxPy | +|---|---:|---:| +| Phase 36 | 280 ms | 2.40Γ— slower | +| Phase 37 (per-column readers) | 250 ms | 2.10Γ— slower | +| Phase 38 (codegen-inlined decoders) | 237 ms | 2.04Γ— slower | +| **Phase 39 (connection-scoped buffered reader)** | **169 ms** | **1.15Γ— slower** | + +The Phase 39 jump is documented in [The buffered reader](/explain/buffered-reader/). + +## Reproducing + +```bash +git clone https://github.com/rsp2k/informix-db +cd informix-db +make ifx-up # starts the dev container +make bench # runs all benchmarks +make compare # head-to-head vs IfxPy (handles IfxPy's install gauntlet) +``` + +For just the bulk-fetch progression: + +```bash +pytest -m benchmark tests/benchmarks/test_select_scaling.py +``` diff --git a/docs-site/src/content/docs/reference/config.md b/docs-site/src/content/docs/reference/config.md new file mode 100644 index 0000000..75b26c7 --- /dev/null +++ b/docs-site/src/content/docs/reference/config.md @@ -0,0 +1,67 @@ +--- +title: Configuration & env flags +description: Runtime environment variables, connection arguments, pool tunables. +sidebar: + order: 3 +--- + +## Environment variables + +| Variable | Default | Effect | +|---|---|---| +| `IFX_BUFFERED_READER` | `1` | Enable connection-scoped read buffer (Phase 39). Set to `0` to disable. | +| `IFX_DEBUG_WIRE` | unset | When set to a truthy value, log wire-level PDU framing to stderr. Verbose; for debugging only. | +| `IFX_PROTOCOL_TRACE` | unset | When set to a path, write annotated wire captures to the file. | +| `IFX_DISABLE_PIPELINE` | unset | Disables pipelined `executemany` (Phase 33). Use only to A/B-measure. | +| `INFORMIXSERVER` | β€” | Read by `connect()` if `server=` is not provided. | + +Environment variables are read at connection construction. Changing them at runtime doesn't affect existing connections. + +## Connection arguments + +Full keyword list for `informix_db.connect()`: + +| Arg | Type | Default | Notes | +|---|---|---|---| +| `host` | `str` | required | TCP host. | +| `port` | `int` | `9088` | TCP port. `9089` is the typical TLS listener. | +| `user` | `str` | required | | +| `password` | `str` | required | | +| `database` | `str \| None` | required | `None` logs in without selecting a DB. | +| `server` | `str` | required | DBSERVERNAME, not hostname. | +| `autocommit` | `bool` | `False` | | +| `connect_timeout` | `float \| None` | `None` | TCP+login timeout. | +| `read_timeout` | `float \| None` | `None` | Per-read timeout. | +| `keepalive` | `bool` | `False` | `SO_KEEPALIVE`. | +| `client_locale` | `str` | `"en_US.8859-1"` | See [SQL ↔ Python types](/reference/types/) for codec mapping. | +| `env` | `dict[str, str] \| None` | `None` | Server-side session env. | +| `tls` | `bool \| ssl.SSLContext` | `False` | See [Connect with TLS](/how-to/tls/). | + +## Pool tunables + +| Arg | Default | Effect | +|---|---|---| +| `min_size` | `1` | Connections to pre-warm at create time. | +| `max_size` | `10` | Hard cap. | +| `acquire_timeout` | `30.0` | Raise `PoolTimeout` after this many seconds. | +| `max_idle` | `600.0` | Close connections idle longer than this (seconds). | +| `health_check` | `True` | Validate idle connections before returning from the pool. | + +All other connection arguments are forwarded to each pool-created connection. + +## Server-side session env + +The `env={}` parameter of `connect()` sets server session variables sent in the login PDU: + +```python +informix_db.connect( + ..., + env={ + "OPT_GOAL": "-1", # optimize for first-row return + "OPTOFC": "1", # auto-free cursors at fetch-close + "IFX_AUTOFREE": "1", + }, +) +``` + +`CLIENT_LOCALE` is set automatically from `client_locale=` β€” don't put it in `env=`. diff --git a/docs-site/src/content/docs/reference/exceptions.md b/docs-site/src/content/docs/reference/exceptions.md new file mode 100644 index 0000000..65b4bdc --- /dev/null +++ b/docs-site/src/content/docs/reference/exceptions.md @@ -0,0 +1,68 @@ +--- +title: Exceptions & error codes +description: PEP 249 exception hierarchy, Informix SQLCODE β†’ Python exception mapping. +sidebar: + order: 4 +--- + +The exception hierarchy is per PEP 249. All exceptions live in `informix_db` and inherit from `informix_db.Error`. + +## Hierarchy + +``` +Error +β”œβ”€β”€ Warning +└── DatabaseError + β”œβ”€β”€ InterfaceError + β”œβ”€β”€ DataError + β”œβ”€β”€ OperationalError + β”‚ └── PoolTimeout + β”œβ”€β”€ IntegrityError + β”œβ”€β”€ InternalError + β”œβ”€β”€ ProgrammingError + └── NotSupportedError +``` + +## When each is raised + +| Exception | Typical cause | +|---|---| +| `InterfaceError` | Misuse of the driver API itself (e.g. fetch on a closed cursor). | +| `DataError` | Type conversion failures, codec errors. | +| `OperationalError` | Network errors, timeouts, server unavailable, login failures. | +| `IntegrityError` | Constraint violations (PK, FK, unique, NOT NULL). | +| `InternalError` | Driver-internal invariant violation (file a bug). | +| `ProgrammingError` | Bad SQL syntax, missing tables, parameter binding errors. | +| `NotSupportedError` | Driver doesn't support the requested operation. | +| `PoolTimeout` | Pool acquire exceeded `acquire_timeout`. | + +## SQLCODE mapping + +Informix returns SQLCODE values; the driver maps them to the appropriate exception. A few common ones: + +| SQLCODE | Meaning | Exception | +|---|---|---| +| `-201` | Syntax error | `ProgrammingError` | +| `-206` | Table not found | `ProgrammingError` | +| `-239` / `-268` / `-691` / `-703` | Unique / FK / NOT NULL violation | `IntegrityError` | +| `-329` | Database not found | `OperationalError` | +| `-908` | Connection terminated by server | `OperationalError` | +| `-1820` | Codeset conversion failure | `DataError` | +| `-908` / network errors | Server unavailable | `OperationalError` | + +The full mapping lives in `src/informix_db/_errcodes.py`. + +## Inspecting errors + +Every exception carries the original SQLCODE and message: + +```python +try: + cur.execute("INSERT INTO users VALUES (?, ?)", (1, "alice")) +except informix_db.IntegrityError as e: + print(e.sqlcode) # -239 (unique violation) + print(e.isam_code) # secondary error code + print(str(e)) # human-readable +``` + +`sqlcode` is the primary error; `isam_code` is the underlying ISAM error (when applicable). For multi-statement transactions, use `e.statement` to see which statement failed. diff --git a/docs-site/src/content/docs/reference/types.md b/docs-site/src/content/docs/reference/types.md new file mode 100644 index 0000000..645a2b6 --- /dev/null +++ b/docs-site/src/content/docs/reference/types.md @@ -0,0 +1,59 @@ +--- +title: SQL ↔ Python types +description: Mapping table between Informix SQL types and Python types, with notes on edge cases. +sidebar: + order: 2 +--- + +| SQL type | Python type | Notes | +|---|---|---| +| `SMALLINT` / `INT` / `BIGINT` / `SERIAL` | `int` | Arbitrary precision on the Python side. | +| `FLOAT` / `SMALLFLOAT` | `float` | IEEE 754 double / single. | +| `DECIMAL(p,s)` / `MONEY` | `decimal.Decimal` | Exact precision preserved. | +| `CHAR` / `VARCHAR` / `NCHAR` / `NVCHAR` / `LVARCHAR` | `str` | Decoded using `client_locale`. | +| `BOOLEAN` | `bool` | | +| `DATE` | `datetime.date` | | +| `DATETIME YEAR TO …` | `datetime.datetime` / `datetime.time` / `datetime.date` | The Python type depends on the field range. | +| `INTERVAL DAY TO FRACTION` | `datetime.timedelta` | | +| `INTERVAL YEAR TO MONTH` | `informix_db.IntervalYM` | Custom type β€” `datetime.timedelta` can't represent year-month intervals. | +| `BYTE` / `TEXT` (legacy in-row blobs) | `bytes` / `str` | | +| `BLOB` / `CLOB` (smart-LOBs) | `informix_db.BlobLocator` / `informix_db.ClobLocator` | Read via `cursor.read_blob_column`, write via `cursor.write_blob_column`. | +| `ROW(…)` | `informix_db.RowValue` | Named-tuple-like with `.name`-accessible fields. | +| `SET(…)` / `MULTISET(…)` / `LIST(…)` | `informix_db.CollectionValue` | Iterable; preserves duplicates only for `MULTISET` / `LIST`. | +| `NULL` | `None` | | + +## DATETIME field ranges + +Informix's `DATETIME YEAR TO X` is field-range typed. The Python type returned depends on which fields are present: + +| Range | Python type | +|---|---| +| `YEAR TO YEAR` through `YEAR TO DAY` | `datetime.date` | +| `YEAR TO HOUR` through `YEAR TO FRACTION(5)` | `datetime.datetime` | +| `HOUR TO HOUR` through `HOUR TO FRACTION(5)` | `datetime.time` | + +## Decimal precision + +`DECIMAL` columns preserve their declared precision and scale through the codec. A `DECIMAL(10,2)` column with value `123.45` decodes to `Decimal("123.45")` exactly β€” no float intermediate. + +For binding `Decimal` values into INSERT/UPDATE, the driver uses the column's declared scale. Pass `Decimal` for exact values; `float` works but may cause rounding at the column scale. + +## NULL + +`NULL` is `None` in both directions. Use `IS NULL` / `IS NOT NULL` in SQL β€” `WHERE x = ?` with `None` returns no rows even where `x IS NULL`. + +## Type extensions + +`informix_db.IntervalYM(years, months)` represents `INTERVAL YEAR TO MONTH`: + +```python +from informix_db import IntervalYM + +ym = IntervalYM(years=2, months=3) +cur.execute("INSERT INTO contracts (term) VALUES (?)", (ym,)) + +cur.execute("SELECT term FROM contracts WHERE id = ?", (1,)) +result = cur.fetchone()[0] # IntervalYM(years=2, months=3) +``` + +`informix_db.RowValue` and `informix_db.CollectionValue` are read-only types returned for `ROW`, `SET`, `MULTISET`, `LIST` columns. Both expose Python iteration and indexed access. diff --git a/docs-site/src/content/docs/start/quickstart.mdx b/docs-site/src/content/docs/start/quickstart.mdx new file mode 100644 index 0000000..f3d6763 --- /dev/null +++ b/docs-site/src/content/docs/start/quickstart.mdx @@ -0,0 +1,161 @@ +--- +title: Install & first query +description: Five minutes from pip install to a real SELECT against a Dockerised Informix server. +sidebar: + order: 2 +--- + +import { Tabs, TabItem, Steps, Aside } from '@astrojs/starlight/components'; + +This page gets you from a clean Python environment to a working query against a real Informix server in five minutes. We'll use the official IBM Informix Developer Edition Docker image so you don't need an Informix license. + +## Prerequisites + +- Python 3.10 or newer +- Docker, for the dev server (skip if you already have an Informix instance) +- 4 GB of free RAM for the dev container + +## 1. Install the driver + + + +```bash +uv add informix-db +``` + + +```bash +pip install informix-db +``` + + +```bash +poetry add informix-db +``` + + + +That's the entire dependency. No system packages, no `LD_LIBRARY_PATH`, no `libcrypt.so.1`. + +## 2. Start the dev container + +```bash +docker run -d --name informix-dev \ + -e LICENSE=accept \ + -p 9088:9088 \ + -p 9089:9089 \ + --privileged \ + icr.io/informix/informix-developer-database:15.0.1.0.3DE +``` + +The image takes ~90 seconds to initialize. Watch the logs until you see `oninit running`: + +```bash +docker logs -f informix-dev +``` + + + +## 3. Run your first query + +Save this as `hello.py`: + +```python +import informix_db + +with informix_db.connect( + host="127.0.0.1", + port=9088, + user="informix", + password="in4mix", + database="sysmaster", + server="informix", +) as conn: + cur = conn.cursor() + cur.execute( + "SELECT FIRST 5 dbsname, tabname " + "FROM systables WHERE tabid > 99" + ) + for row in cur.fetchall(): + print(row) +``` + +Then: + +```bash +python hello.py +``` + +You should see five rows from Informix's system catalog. If you do, congratulations β€” you've spoken SQLI to an IBM database from pure Python with zero native code in the call stack. + +## What just happened + +When `informix_db.connect()` returned, the driver had: + +1. Opened a TCP socket to `127.0.0.1:9088` +2. Sent an `SQ_INFO` PDU containing client capabilities (locale, byte order, app name) +3. Received the server's identification (`IBM Informix Dynamic Server Version 15.0.1.0.3`) +4. Negotiated authentication via `SQ_PASSWD` +5. Opened the `sysmaster` database via `SQ_DBOPEN` +6. Returned a `Connection` object ready for queries + +`cur.execute()` sent an `SQ_PREPARE` PDU with your SQL, parsed the response into a column descriptor, sent `SQ_DESCRIBE`, then `SQ_OPEN` to start the cursor. `cur.fetchall()` issued `SQ_FETCH` PDUs and decoded each `SQ_TUPLE` payload via per-column readers. + +If you want to see this happen byte-by-byte, [the architecture page](/explain/architecture/) walks through the wire protocol with annotated captures. + +## 4. Try parameter binding + +```python +with informix_db.connect(host="127.0.0.1", port=9088, user="informix", + password="in4mix", database="sysmaster", + server="informix") as conn: + cur = conn.cursor() + cur.execute( + "SELECT tabname FROM systables WHERE tabid = ?", + (1,), + ) + print(cur.fetchone()) +``` + +`?` and `:1` both work β€” Informix's native paramstyle is `numeric`, but `?` is supported as a synonym. + +## 5. Use the connection pool + +For real applications, prefer the pool: + +```python +import informix_db + +pool = informix_db.create_pool( + host="127.0.0.1", port=9088, + user="informix", password="in4mix", + database="sysmaster", server="informix", + min_size=2, max_size=10, + acquire_timeout=5.0, +) + +with pool.connection() as conn: + cur = conn.cursor() + cur.execute("SELECT 1 FROM systables WHERE tabid = 1") + print(cur.fetchone()) + +pool.close() +``` + +The pool is thread-safe and has a per-connection wire lock β€” accidental sharing across threads doesn't corrupt the wire stream, though PEP 249 advice still holds (one connection per thread). + +## What's next + + + +1. **Going async?** [Async with FastAPI β†’](/how-to/async-fastapi/) walks through a real FastAPI app with the async pool. + +2. **Connecting to production?** [Connect with TLS β†’](/how-to/tls/) covers TLS-listener configuration and bring-your-own-context patterns. + +3. **Bulk-loading?** [Bulk inserts (executemany) β†’](/how-to/executemany/) β€” and the 53Γ— transaction-vs-autocommit gotcha you'll hit otherwise. + +4. **Migrating from IfxPy?** [Migrate from IfxPy β†’](/how-to/migrate-from-ifxpy/) covers the API differences and the things IfxPy does that we don't (yet). + + diff --git a/docs-site/src/content/docs/start/vs-ifxpy.mdx b/docs-site/src/content/docs/start/vs-ifxpy.mdx new file mode 100644 index 0000000..6b812cd --- /dev/null +++ b/docs-site/src/content/docs/start/vs-ifxpy.mdx @@ -0,0 +1,149 @@ +--- +title: Compared to IfxPy +description: Head-to-head benchmarks against IBM's C-bound Python driver. Where each one wins and why. +sidebar: + order: 3 +--- + +import { Aside } from '@astrojs/starlight/components'; + +[IfxPy](https://pypi.org/project/IfxPy/) is IBM's official Python driver β€” a C extension that wraps the OneDB Client SDK (CSDK), which itself wraps the same SQLI wire protocol `informix-db` speaks directly. It's the reasonable comparison: same protocol, same server, same workload, different transport. + +Numbers below are **median + IQR over 10+ rounds**, all against the same IBM Informix Developer Edition Docker container on the same host. Methodology and reproduction steps live in [`tests/benchmarks/compare/`](https://github.com/rsp2k/informix-db/tree/main/tests/benchmarks/compare) in the repo. + +## Headline numbers + +| Benchmark | IfxPy 3.0.5 (C) | informix-db (pure Python) | Result | +|---|---:|---:|---:| +| Single-row SELECT round-trip | 118 Β΅s | 114 Β΅s | comparable | +| ~10-row server-side query | 130 Β΅s | 159 Β΅s | IfxPy 22% faster | +| Cold connect (login handshake) | 11.0 ms | 10.5 ms | comparable | +| `executemany(1k)` in transaction | 23.5 ms | 23.2 ms | tied | +| **`executemany(10k)` in transaction** | 259 ms | **161 ms** | **informix-db 1.6Γ— faster** | +| **`executemany(100k)` in transaction** | 2376 ms | **1487 ms** | **informix-db 1.6Γ— faster** | +| `SELECT 1k` rows | 1.34 ms | 1.72 ms | IfxPy 1.28Γ— faster | +| `SELECT 10k` rows | 11.7 ms | 16.1 ms | IfxPy 1.07Γ— faster | +| `SELECT 100k` rows | 116 ms | 169 ms | IfxPy 1.15Γ— faster | + + + +## When informix-db wins + +### Bulk inserts at scale + +The clearest win is bulk insert throughput. `executemany(10_000_rows)` runs in **161 ms** vs IfxPy's **259 ms** β€” `informix-db` is 1.6Γ— faster. + +The mechanism is pipelining. Phase 33 changed `executemany` to send all N BIND+EXECUTE PDUs back-to-back **before** draining any response. IfxPy's C-level `IfxPy.execute(stmt, tuple)` makes one round-trip per row β€” N RTTs at ~80 Β΅s each adds up to the 100 ms gap. + +```python +# Both drivers +cur.executemany( + "INSERT INTO orders VALUES (?, ?, ?)", + rows, # list of 10_000 tuples +) + +# informix-db: 161 ms β€” 10k PDUs sent, then 10k responses drained +# IfxPy: 259 ms β€” 10k round-trips, each blocking on response +``` + +### Containerized deployment + +`informix-db` ships as a 50 KB pure-Python wheel with **zero runtime dependencies**. Your Dockerfile is: + +```dockerfile +FROM python:3.13-slim +RUN pip install informix-db +``` + +IfxPy's deployment surface is dramatically larger: + +- 92 MB IBM OneDB Client tarball +- `setuptools < 58` build pin +- `LD_LIBRARY_PATH` configuration for four directories +- `libcrypt.so.1` (deprecated 2018 β€” missing on Arch, Fedora 35+, RHEL 9) +- C compiler in the build image + +For slim images, multi-stage builds, FaaS deployments, or anywhere build-toolchain-on-the-runtime is friction, `informix-db` is the only reasonable option. + +### Modern Python + +IfxPy works on Python ≀ 3.11 currently. The C extension breaks on 3.12+ (PyConfig changes, removed `_PyImport_AcquireLock`, etc.). + +`informix-db` works unmodified on **3.10, 3.11, 3.12, 3.13, and 3.14**. We've kept a CI matrix on every minor version since 3.10 from the start. + +### Async + +`informix-db` ships an async API: + +```python +from informix_db import aio + +async def main(): + pool = await aio.create_pool(...) + async with pool.connection() as conn: + cur = await conn.cursor() + await cur.execute("SELECT ...") + rows = await cur.fetchall() +``` + +IfxPy has no async support β€” every call blocks the event loop. Using IfxPy from FastAPI requires `loop.run_in_executor()` boilerplate, and the thread pool isn't connection-aware so you give up the natural fairness of an async pool. + +## When IfxPy wins + +### Large analytical fetches + +For queries pulling 10k+ rows where per-row decode cost dominates, IfxPy is currently 5–15% faster. The C-level `fetch_tuple` decoder is ~1.1 Β΅s/row; our Python `parse_tuple_payload` is ~2.0 Β΅s/row after Phase 39 (down from ~2.7 before). At 100k rows the gap is ~80 ms wall-clock β€” meaningful but not disqualifying. + +The gap is closing phase by phase: + +| Phase | Bulk-fetch ratio vs IfxPy | +|---|---| +| Phase 36 | 2.40Γ— slower | +| Phase 37 (per-column readers) | 2.10Γ— slower | +| Phase 38 (codegen-inlined decoders) | 2.04Γ— slower | +| **Phase 39 (connection-scoped buffered reader)** | **1.15Γ— slower** | + +If you're running analytical reports that pull millions of rows in a single SELECT and the per-row decode overhead is a measurable cost, IfxPy may be marginally faster today. For most application workloads it isn't. + +### Workloads built around CSDK extensions + +If your existing code uses IBM-specific cursor extensions (`cursor.callproc` with named parameters, IBM's specific scrollable cursor semantics around `last`/`prior`/`relative`, `cursor.set_chunk_size` for fetch tuning), the migration to `informix-db` is straightforward but not zero-cost. We support the core PEP 249 surface plus our own scrollable cursor API β€” see [the migration guide](/how-to/migrate-from-ifxpy/). + +## Methodology + +Benchmarks are pytest-benchmark fixtures in `tests/benchmarks/compare/` against the official `icr.io/informix/informix-developer-database:15.0.1.0.3DE` image, running on the same loopback as the Python process. + +Reported numbers are **median over 10+ rounds**, with IQR included. Why median over mean: the first round of any run includes JIT warmup, page-cache miss, and a TCP slow-start round-trip. The mean is contaminated by these one-shot costs in a way that misrepresents steady-state behavior. Median + IQR is what we report. + +IfxPy's IQR on the 100k-row SELECT is ~21% (Dockerβ†’host loopback noise, plus the C extension's allocation patterns). Our IQR is ~0.2%. The headline 1.15Γ— ratio at 100k rows is partly that noise β€” a fair reading is "5–15% slower than IfxPy on large fetches", and the lower bound may already be within measurement noise. + +To reproduce: + +```bash +git clone https://github.com/rsp2k/informix-db +cd informix-db/tests/benchmarks/compare +make ifx-up +make compare +``` + +The `Makefile` handles the IfxPy install gauntlet (Python ≀ 3.11 environment, `setuptools < 58`, `libcrypt.so.1` symlink, OneDB CSDK download, the four `LD_LIBRARY_PATH` exports) so you don't have to learn it manually. + +## Summary + +Use `informix-db` when: + +- You're writing new code in Python β‰₯ 3.10 +- Your workload is bulk-insert / ETL / log-shipping +- You want async / FastAPI integration +- You're deploying in containers or to Python environments where build toolchains are friction +- Your platform doesn't have `libcrypt.so.1` + +Use IfxPy when: + +- You have an existing IfxPy codebase +- You're running large analytical SELECTs and the 5–15% decode-side gap matters +- You're constrained to Python ≀ 3.11 anyway + +For everything else β€” the cost-benefit favors `pip install informix-db`. diff --git a/docs-site/src/content/docs/start/wtf.md b/docs-site/src/content/docs/start/wtf.md new file mode 100644 index 0000000..a760fc2 --- /dev/null +++ b/docs-site/src/content/docs/start/wtf.md @@ -0,0 +1,85 @@ +--- +title: WTF did you build this for? +description: A pure-Python Informix driver, why it didn't exist before, and what it's good for. +sidebar: + order: 1 + label: WTF did you build this for? +--- + +The existing tools were not my style. + +Every Informix driver in any language β€” `IfxPy`, the legacy `informixdb`, ODBC bridges, JPype/JDBC, Perl `DBD::Informix` β€” wraps either IBM's C Client SDK or the JDBC JAR. To our knowledge `informix-db` is the **first pure-socket Informix driver in any language**. + +## The problem with IBM's C SDK + +The IBM Informix Client SDK (CSDK), now packaged as part of OneDB Client, is a 92 MB tarball with a non-trivial install gauntlet: + +- Python ≀ 3.11 (IfxPy is broken on 3.12+) +- `setuptools < 58` (legacy build system) +- Permissive `CFLAGS` for the C extension build +- Manual download of the 92 MB ODBC tarball +- Four `LD_LIBRARY_PATH` directories +- `libcrypt.so.1` β€” deprecated in 2018, missing on Arch, Fedora 35+, RHEL 9 + +For containerized deployments, ETL pipelines, FastAPI services, or anywhere Python lives and IBM's C SDK is friction, the friction compounds. `informix-db`'s install is `pip install informix-db`. The wheel is ~50 KB. There are zero runtime dependencies. + +## What it does + +`informix-db` opens a TCP socket to an Informix server's SQLI listener and speaks the wire protocol directly β€” the same protocol IBM's JDBC driver uses, the same protocol the CSDK speaks under the hood. No native code is in the thread of execution. + +The wire protocol was reverse-engineered through three sources: + +1. **Decompiled IBM JDBC driver** (`com.informix.jdbc.IfxConnection` and friends), used as a clean-room reference for PDU shapes and protocol semantics. +2. **Annotated `socat` captures** of real client/server traffic against the IBM Informix Developer Edition Docker image. +3. **Differential testing** against `IfxPy` β€” every codec path is tested against the C driver's behavior on the same data. + +The result is a PEP 249 compliant driver with a sync API, an async API (FastAPI / asyncio compatible), a connection pool, TLS support, smart-LOB read/write, scrollable cursors, fast-path stored procedure invocation, and bulk-insert / bulk-fetch performance within ~10–60% of the C driver depending on workload. + +## What it's good for + +The places where `informix-db` is unambiguously the right choice: + +- **ETL and bulk-load pipelines.** Pipelined `executemany` (Phase 33) is 1.6Γ— faster than IfxPy at scale because every BIND+EXECUTE PDU goes out before any responses are drained. IfxPy still pays one round-trip per `IfxPy.execute(stmt, tuple)` call. +- **Container deployments.** The 50 KB wheel and absent native deps mean a slim base image works. No multi-stage build to compile the CSDK. +- **Modern Python.** Works on 3.10 through 3.14 unmodified. IfxPy hasn't shipped 3.12 wheels. +- **Async / FastAPI.** Native async support via thread-pool wrapping. IfxPy is fully synchronous; using it from FastAPI requires `run_in_executor` boilerplate and gives up the connection pool's natural async semantics. +- **Anywhere `libcrypt.so.1` is missing.** Modern Linux distributions ship `libcrypt.so.2`. IfxPy refuses to load without `libcrypt.so.1`. We don't link against either. + +## What IfxPy is still better at + +Honesty matters here: + +- **Large analytical fetches.** IfxPy's C-level `fetch_tuple` decoder is faster than our Python `parse_tuple_payload` (~1.1 Β΅s/row vs ~2.0 Β΅s/row after Phase 39). For workloads pulling 10k+ rows in a single SELECT where the per-row decode cost dominates, IfxPy is currently 5–15% faster. The gap is shrinking phase by phase. +- **Workloads built around the CSDK.** If your existing code already uses IfxPy idioms (`IfxPyDbi.connect_pooled`, IBM's specific cursor extensions), the migration to `informix-db` is straightforward but not zero-cost. + +The honest summary table from the [comparison page](/start/vs-ifxpy/): + +| Workload | Winner | Margin | +|---|---|---| +| Bulk insert (`executemany` 10k–100k rows) | `informix-db` | 1.6Γ— faster | +| Bulk SELECT (10k–100k rows) | IfxPy | 1.05–1.15Γ— faster | +| Single-row queries | tied | within noise | +| Cold connect | tied | within noise | +| Containerized deployment | `informix-db` | no contest | +| Python 3.12+ | `informix-db` | only option | + +## Production-ready + +Every finding from a system-wide failure-mode audit (data correctness, wire safety, resource leaks, concurrency, async cancellation) has been addressed: + +- Pool no longer returns connections with open transactions +- Per-connection wire lock prevents PDU interleaving from accidental sharing +- Async cancellation cannot leak running workers onto recycled connections +- `_raise_sq_err` no longer masks wire desync via bare-except +- Cursor finalizers release server-side resources on mid-fetch raise +- 5 medium-severity hardening items resolved + +**0 critical, 0 high, 0 medium audit findings remain.** Every architectural change went through a Margaret Hamilton-style review focused on silent-failure modes, recovery paths, and documented invariants. Each documented invariant is paired with either a runtime guard or a CI tripwire test. + +300+ tests across unit / integration / benchmark suites. Integration tests run against the official IBM Informix Developer Edition Docker image (15.0.1.0.3DE). + +## Read next + +- **[Install & first query β†’](/start/quickstart/)** β€” five minutes from `pip install` to a real SELECT against a Docker-hosted Informix. +- **[Compared to IfxPy β†’](/start/vs-ifxpy/)** β€” full head-to-head benchmarks, methodology, and reproduction. +- **[Architecture β†’](/explain/architecture/)** β€” how the layers stack: socket, framing, codec, resultset, cursor. diff --git a/docs-site/src/styles/components.css b/docs-site/src/styles/components.css new file mode 100644 index 0000000..4538e3f --- /dev/null +++ b/docs-site/src/styles/components.css @@ -0,0 +1,343 @@ +/* Component-scoped styles for the custom Hero and homepage modules */ + +.ifx-hero { + display: grid; + grid-template-columns: minmax(0, 1fr) minmax(0, 1.1fr); + gap: clamp(1.5rem, 4vw, 4rem); + align-items: center; + padding: clamp(2rem, 5vw, 4.5rem) 0 clamp(2rem, 4vw, 3.5rem); + border-bottom: 1px solid var(--sl-color-hairline-light); +} + +@media (max-width: 800px) { + .ifx-hero { + grid-template-columns: 1fr; + } +} + +.ifx-hero__eyebrow { + display: inline-flex; + align-items: center; + gap: 0.5rem; + font-family: var(--sl-font-mono); + font-size: 0.75rem; + letter-spacing: 0.18em; + text-transform: uppercase; + color: var(--sl-color-text-accent); + margin-bottom: 0.75rem; +} + +.ifx-hero__eyebrow::before { + content: ''; + width: 8px; + height: 8px; + background: var(--ifx-amber); + border-radius: 1px; + box-shadow: 0 0 12px var(--ifx-amber); + animation: ifx-pulse 2.4s ease-in-out infinite; +} + +@keyframes ifx-pulse { + 0%, 100% { opacity: 0.4; } + 50% { opacity: 1; } +} + +.ifx-hero__title { + font-size: clamp(2rem, 5vw, 3.25rem); + line-height: 1.05; + letter-spacing: -0.02em; + font-weight: 700; + margin: 0 0 1rem; + color: var(--sl-color-white); +} + +.ifx-hero__title strong { + background: linear-gradient(180deg, var(--ifx-amber-bright) 0%, var(--ifx-amber) 100%); + -webkit-background-clip: text; + background-clip: text; + color: transparent; + font-weight: inherit; +} + +.ifx-hero__lede { + font-size: clamp(1rem, 1.5vw, 1.15rem); + line-height: 1.55; + color: var(--sl-color-gray-2); + max-width: 36rem; + margin: 0 0 1.75rem; +} + +.ifx-hero__cta { + display: flex; + flex-wrap: wrap; + gap: 0.75rem; +} + +.ifx-hero__cta a { + display: inline-flex; + align-items: center; + gap: 0.4rem; + padding: 0.6rem 1.1rem; + border-radius: 6px; + font-weight: 500; + text-decoration: none !important; + transition: transform 0.08s ease, box-shadow 0.15s ease; +} +.ifx-hero__cta a:hover { + transform: translateY(-1px); +} + +.ifx-hero__cta .primary { + background: var(--ifx-amber); + color: var(--ifx-charcoal-0); +} +.ifx-hero__cta .primary:hover { + box-shadow: 0 4px 16px rgba(245, 165, 36, 0.35); +} + +.ifx-hero__cta .secondary { + border: 1px solid var(--sl-color-hairline-shade); + color: var(--sl-color-text); + background: transparent; +} +.ifx-hero__cta .secondary:hover { + border-color: var(--sl-color-accent); +} + +.ifx-hero__install { + font-family: var(--sl-font-mono); + font-size: 0.95rem; + margin-top: 1.5rem; + padding: 0.75rem 1rem; + background: var(--sl-color-bg-inline-code); + border-left: 2px solid var(--ifx-amber); + border-radius: 0 4px 4px 0; + color: var(--sl-color-text); + user-select: all; +} + +.ifx-hero__install::before { + content: '$ '; + color: var(--sl-color-text-accent); + user-select: none; +} + +/* Wire-dump easter egg: types out real captured handshake bytes */ +.ifx-wiredump { + font-family: var(--sl-font-mono); + font-size: 0.78rem; + line-height: 1.55; + background: var(--ifx-charcoal-0); + color: var(--ifx-amber); + border: 1px solid var(--sl-color-hairline); + border-radius: 8px; + padding: 1.25rem 1rem; + height: clamp(280px, 35vw, 360px); + overflow: hidden; + position: relative; + box-shadow: inset 0 0 60px rgba(245, 165, 36, 0.04); +} + +:root[data-theme='light'] .ifx-wiredump { + background: #1a1612; +} + +.ifx-wiredump__scroll { + white-space: pre; + height: 100%; + overflow: hidden; +} + +.ifx-wiredump__line { + display: block; + opacity: 0; + white-space: pre; +} +.ifx-wiredump__line.is-visible { + opacity: 1; +} + +.ifx-wiredump__byte--ascii { + color: #ffd884; +} + +.ifx-wiredump__caret { + display: inline-block; + width: 8px; + height: 1em; + background: var(--ifx-amber); + vertical-align: text-bottom; + margin-left: 2px; + animation: ifx-blink 1.1s steps(2) infinite; +} + +@keyframes ifx-blink { + 0%, 50% { opacity: 1; } + 51%, 100% { opacity: 0; } +} + +.ifx-wiredump__direction { + color: var(--sl-color-gray-3); + margin-right: 0.5rem; +} + +.ifx-wiredump__direction--out { + color: var(--ifx-amber); +} +.ifx-wiredump__direction--in { + color: #6dd2a4; +} + +.ifx-wiredump__caption { + font-family: var(--sl-font-mono); + font-size: 0.7rem; + letter-spacing: 0.1em; + text-transform: uppercase; + color: var(--sl-color-gray-3); + margin-top: 0.6rem; + text-align: right; +} + +/* Homepage feature grid */ +.ifx-features { + display: grid; + grid-template-columns: repeat(auto-fit, minmax(260px, 1fr)); + gap: 1.25rem; + margin: 3rem 0; +} + +.ifx-feature { + padding: 1.5rem; + border: 1px solid var(--sl-color-hairline-light); + border-radius: 8px; + background: var(--sl-color-bg-nav); + transition: border-color 0.15s ease, transform 0.1s ease; +} + +.ifx-feature:hover { + border-color: var(--sl-color-accent); +} + +.ifx-feature__icon { + width: 28px; + height: 28px; + margin-bottom: 0.75rem; + color: var(--sl-color-text-accent); +} + +.ifx-feature h3 { + font-size: 1.05rem; + margin: 0 0 0.5rem; + letter-spacing: -0.01em; +} + +.ifx-feature p { + font-size: 0.92rem; + line-height: 1.5; + margin: 0; + color: var(--sl-color-gray-2); +} + +/* Supported Systems "joint" badge β€” appears below every page's footer */ +.ifx-ss-badge { + margin-top: 3.5rem; + padding: 0; + border-top: 1px solid var(--sl-color-hairline-light); +} + +.ifx-ss-badge__link { + display: grid; + grid-template-columns: auto minmax(0, 1fr); + gap: 1.25rem; + align-items: center; + padding: 1.5rem 0 0.5rem; + text-decoration: none !important; + color: var(--sl-color-text); + transition: color 0.12s ease; +} + +.ifx-ss-badge__link:hover { + color: var(--sl-color-text-accent); +} + +.ifx-ss-badge__link:hover .ifx-ss-badge__cta { + gap: 0.5rem; +} + +.ifx-ss-badge__logo { + width: 60px; + height: 45px; + flex-shrink: 0; + /* Slight lift so the punch-card pattern reads */ + filter: drop-shadow(0 1px 2px rgba(37, 99, 235, 0.12)); +} + +.ifx-ss-badge__copy { + min-width: 0; +} + +.ifx-ss-badge__heading { + font-family: var(--sl-font-mono); + font-size: 0.78rem; + font-weight: 600; + letter-spacing: 0.16em; + text-transform: uppercase; + color: var(--sl-color-text-accent); + margin: 0 0 0.4rem; + border: none !important; + padding: 0 !important; +} + +.ifx-ss-badge__body { + font-size: 0.92rem; + line-height: 1.55; + color: var(--sl-color-gray-2); + margin: 0 0 0.5rem; +} + +.ifx-ss-badge__name { + color: #3b82f6; + font-weight: 600; +} + +:root[data-theme='light'] .ifx-ss-badge__name { + color: #2563eb; +} + +.ifx-ss-badge__cta { + display: inline-flex; + align-items: center; + gap: 0.35rem; + font-size: 0.85rem; + font-weight: 500; + color: var(--sl-color-text-accent); + transition: gap 0.15s ease; +} + +@media (max-width: 540px) { + .ifx-ss-badge__link { + grid-template-columns: 1fr; + gap: 0.85rem; + text-align: left; + } + .ifx-ss-badge__logo { + width: 50px; + height: 38px; + } +} + +/* Performance-bar visual for the comparison table */ +.ifx-perfbar { + position: relative; + height: 6px; + background: var(--sl-color-bg-inline-code); + border-radius: 3px; + overflow: hidden; + margin-top: 0.25rem; +} +.ifx-perfbar__fill { + position: absolute; + inset: 0 auto 0 0; + background: linear-gradient(90deg, var(--ifx-amber) 0%, var(--ifx-amber-bright) 100%); + border-radius: 3px; +} diff --git a/docs-site/src/styles/theme.css b/docs-site/src/styles/theme.css new file mode 100644 index 0000000..0833da3 --- /dev/null +++ b/docs-site/src/styles/theme.css @@ -0,0 +1,137 @@ +/* + * informix-db docs theme + * - Charcoal base (no purple gradients, ever) + * - Amber accent β€” CRT-monitor nod, distinct from sibling sites' cyan + * - Inter for body, IBM Plex Mono for technical bytes + */ + +:root { + --ifx-amber: #f5a524; + --ifx-amber-bright: #ffb84d; + --ifx-amber-dim: #b87a18; + --ifx-charcoal-0: #0e0d0c; + --ifx-charcoal-1: #161412; + --ifx-charcoal-2: #1f1c1a; + --ifx-charcoal-3: #2a2622; + --ifx-paper: #faf7f2; + --ifx-paper-2: #f3eee5; + --ifx-ink: #1a1612; + --ifx-ink-soft: #4a443c; + --ifx-rule: rgba(245, 165, 36, 0.18); + + --sl-font: 'Inter', system-ui, -apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, sans-serif; + --sl-font-mono: 'IBM Plex Mono', ui-monospace, SFMono-Regular, Menlo, Monaco, Consolas, monospace; +} + +:root[data-theme='dark'] { + --sl-color-accent-low: #3a2810; + --sl-color-accent: var(--ifx-amber); + --sl-color-accent-high: var(--ifx-amber-bright); + + --sl-color-white: #fbf7ee; + --sl-color-gray-1: #ece6da; + --sl-color-gray-2: #c8c1b1; + --sl-color-gray-3: #948b78; + --sl-color-gray-4: #5a5246; + --sl-color-gray-5: #2e2823; + --sl-color-gray-6: var(--ifx-charcoal-2); + --sl-color-black: var(--ifx-charcoal-0); + + --sl-color-bg: var(--ifx-charcoal-0); + --sl-color-bg-nav: var(--ifx-charcoal-1); + --sl-color-bg-sidebar: var(--ifx-charcoal-1); + --sl-color-bg-inline-code: var(--ifx-charcoal-2); + --sl-color-bg-accent: var(--ifx-amber); + + --sl-color-text: #ece6da; + --sl-color-text-accent: var(--ifx-amber-bright); + --sl-color-text-invert: var(--ifx-charcoal-0); + + --sl-color-hairline: rgba(245, 165, 36, 0.14); + --sl-color-hairline-light: rgba(245, 165, 36, 0.08); + --sl-color-hairline-shade: rgba(245, 165, 36, 0.22); +} + +:root[data-theme='light'] { + --sl-color-accent-low: #fbe8c8; + --sl-color-accent: var(--ifx-amber-dim); + --sl-color-accent-high: #7a4f0a; + + --sl-color-white: #1a1612; + --sl-color-gray-1: #2e2823; + --sl-color-gray-2: #4a443c; + --sl-color-gray-3: #6e665a; + --sl-color-gray-4: #948b78; + --sl-color-gray-5: #d8d1c1; + --sl-color-gray-6: #ebe5d6; + --sl-color-gray-7: #f3eee5; + --sl-color-black: var(--ifx-paper); + + --sl-color-bg: var(--ifx-paper); + --sl-color-bg-nav: var(--ifx-paper-2); + --sl-color-bg-sidebar: var(--ifx-paper-2); + --sl-color-bg-inline-code: #ece6d4; + --sl-color-bg-accent: var(--ifx-amber-dim); + + --sl-color-text: var(--ifx-ink); + --sl-color-text-accent: var(--ifx-amber-dim); + --sl-color-text-invert: var(--ifx-paper); + + --sl-color-hairline: rgba(120, 80, 12, 0.18); + --sl-color-hairline-light: rgba(120, 80, 12, 0.10); + --sl-color-hairline-shade: rgba(120, 80, 12, 0.28); +} + +/* Tighten heading rhythm β€” Starlight defaults are a touch loose for technical docs */ +.sl-markdown-content h2 { + margin-top: 2.5rem; + border-top: 1px solid var(--sl-color-hairline-light); + padding-top: 1.5rem; + letter-spacing: -0.01em; +} + +.sl-markdown-content h3 { + margin-top: 1.75rem; + letter-spacing: -0.005em; +} + +/* Inline code: monospace + amber tint, no jarring background block */ +.sl-markdown-content :not(pre) > code { + font-feature-settings: 'ss02', 'cv02'; + border: 1px solid var(--sl-color-hairline-shade); + font-size: 0.9em; + padding: 0.1em 0.35em; + border-radius: 4px; +} + +/* Tables: dense, technical, with amber column rules β€” for type-mapping & benchmark tables */ +.sl-markdown-content table { + border-collapse: collapse; + font-variant-numeric: tabular-nums; + font-size: 0.92rem; +} +.sl-markdown-content thead th { + border-bottom: 2px solid var(--sl-color-accent); + text-align: left; + font-weight: 600; + letter-spacing: 0.02em; + text-transform: uppercase; + font-size: 0.78em; + color: var(--sl-color-text-accent); +} +.sl-markdown-content tbody td { + border-bottom: 1px solid var(--sl-color-hairline-light); + padding: 0.5rem 0.75rem; +} + +/* Anchor links β€” underline, no rainbow */ +.sl-markdown-content a:not(.sl-anchor-link) { + text-decoration: underline; + text-decoration-color: var(--sl-color-accent); + text-decoration-thickness: 1px; + text-underline-offset: 3px; + transition: text-decoration-thickness 0.1s ease; +} +.sl-markdown-content a:not(.sl-anchor-link):hover { + text-decoration-thickness: 2px; +} diff --git a/docs-site/tsconfig.json b/docs-site/tsconfig.json new file mode 100644 index 0000000..8bf91d3 --- /dev/null +++ b/docs-site/tsconfig.json @@ -0,0 +1,5 @@ +{ + "extends": "astro/tsconfigs/strict", + "include": [".astro/types.d.ts", "**/*"], + "exclude": ["dist"] +}