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Amahtil","email":"karim.amahtil@gmail.com"},"license":"MIT","homepage":"https://github.com/inicontent/inibase#readme","keywords":["nosql","rdms","database","db","mongoose","relational","local","file","storage","json","sqlite","sql","supabase","better-sqlite","mongodb","firebase","postgresql","pocketbase"],"repository":{"url":"git+https://github.com/inicontent/inibase.git","type":"git"},"description":"A file-based & memory-efficient, serverless relational database with crash-atomic ACID: single-table DML + multi-table transactions (per-table writer locks, write-ahead journal + crash recovery, fsync-backed durability, begin/commit/rollback)","maintainers":[{"name":"inicontent","email":"karim.amahtil@gmail.com"}],"readme":"# Inibase :pencil:\n\n> A file-based & memory-efficient, serverless relational database with **crash-atomic ACID: single-table DML + multi-table transactions** :fire: — per-table writer locks, write-ahead journal + crash recovery, fsync-backed durability, and a `begin`/`commit`/`rollback` transaction API (exact scope in [Durability & crash safety](#durability--crash-safety)).\n\n[![Inibase banner](./.github/assets/banner.jpg)](https://github.com/inicontent/inibase)\n\n[![npmjs](https://img.shields.io/npm/dm/inibase.svg?style=flat)](https://www.npmjs.org/package/inibase) [![License](https://img.shields.io/github/license/inicontent/inibase.svg?style=flat&colorA=18181B&colorB=28CF8D)](./LICENSE) [![Activity](https://img.shields.io/github/commit-activity/m/inicontent/inibase)](https://github.com/inicontent/inibase/pulse) [![GitHub stars](https://img.shields.io/github/stars/inicontent/inibase?style=social)](https://github.com/inicontent/inibase)\n\n## Features\n\n- **Lightweight** 🪶\n- **Minimalist** :white_circle: (but powerful)\n- **100% TypeScript** :large_blue_diamond:\n- **Super-Fast** :zap: (built-in caching system)\n- **ATOMIC** :lock: Per-table writer locks, write-ahead journal + crash recovery, fsync-backed durability, and multi-table transactions (`begin`/`commit`/`rollback`) for atomic cascades (exact scope below)\n- **Built-in** form validation (+unique values :new: ) :sunglasses:\n- **Suitable for large data** :page_with_curl: (tested with 4M records)\n- **Support Compression** :eight_spoked_asterisk: (using built-in nodejs zlib)\n- **Support Table Joins** :link:\n- **Low memory-usage** :chart_with_downwards_trend: (3-5mb)\n- **Safe** :lock: (no sql or javascript injections)\n- **Easy to use** :bread:\n- **...** and much more :rocket:\n\n## Usage\n\n```js\nimport Inibase from \"inibase\";\n// const db = new Inibase(\"databaseName\", \".\", \"es\");\nconst db = new Inibase(\"databaseName\");\n\n// Get all items from \"user\" table\nconst users = await db.get(\"user\");\n\n// Read page 2 content\nconst users = await db.get(\"user\", undefined, { page: 2, per_page: 15 });\n\n// Get only required columns to improve speed\nconst users = await db.get(\"user\", undefined, {\n  columns: [\"username\", \"address.street\", \"hobbies.name\"],\n});\n\n// Get items from \"user\" table where \"favoriteFoods\" does not includes \"Pizza\" or \"Burger\"\nconst users = await db.get(\"user\", { favoriteFoods: \"![]Pizza,Burger\" });\n```\n\n> [!NOTE]\n> Enjoy using Inibase? Consider sponsoring us via [PayPal](https://paypal.me/KarimAmahtil) <br>\n> Your support helps us maintain and improve our services. <br>\n> Thank you! 🫰\n\n## Install\n\n```js\n<npm|pnpm|yarn|bun> install inibase\n```\n\n> [!WARNING]\n> If you're using **Windows**, the following Unix commands are required: `zcat`, `sed`, `gzip`, and `echo`.\n>  \n> To use the missing commands, you need to install additional tools:\n> - **[GnuWin32](http://gnuwin32.sourceforge.net/)**: Provides individual GNU utilities for Windows.  \n> - **[Cygwin](https://www.cygwin.com/)**: Offers a full Unix-like environment for Windows.  \n>  \n> Alternatively, consider using the **Windows Subsystem for Linux (WSL)** to run a Linux environment on Windows. Learn more [here](https://learn.microsoft.com/en-us/windows/wsl/).\n\n## How it works?\n\n`Inibase` organizes data into databases, tables, and columns, each stored in separate files.\n\n- **POST**: New data is appended to column files efficiently.\n- **GET**: Data retrieval is optimized by reading files line-by-line.\n- **PUT**: Updates are streamlined, with only the relevant file being modified.\n- **DELETE**: Removes lines from column files for swift deletion.\n\nThis structure ensures efficient storage, retrieval, and updates, making our system scalable and high-performing for diverse datasets and applications.\n\n## Durability & crash safety\n\n> [!IMPORTANT]\n> **DML (post / put / delete / truncate) is crash-atomic per table.** A logical\n> operation spans many column files plus a pagination-metadata file; all of\n> those files are committed as one journaled unit, so a table is never observed\n> half-applied. **Multi-table atomicity** is available explicitly through the\n> transaction API (`begin` / `commit` / `rollback`, see below) — cascade\n> deletes and multi-table writes are atomic *inside* a transaction, and\n> best-effort without one.\n\n### How each property is provided\n\n| Property | Mechanism |\n|---|---|\n| **A**tomicity | Write-ahead journal: one journal per table (`.tmp/journal.jsonl`) for single-table DML, plus a database journal (`<db>/.tmp/journal.jsonl`) that transactions append `op` entries to. Intent is fsynced *before* any live file changes; a `commit` marker is fsynced after publication. On crash: no commit marker → roll back (restore backups), commit present → roll forward (complete swaps, discard backups). Recovery runs automatically under the lock before any mutation/read. |\n| **C**onsistency | Schema validation + uniqueness enforcement happen before anything is written; every operation is atomic, so a table is never observed half-applied. |\n| **I**solation | **One writer lock per table** serializes every mutation (single-host and multi-host / NFS); a transaction holds the writer lock of every table it touches for its whole lifetime, plus a database lock to serialize transactions. Reads are **lock-free** with optimistic version-retry: each read snapshots the identity of every column + pagination file, and is re-run if anything changed mid-scan — a reader never sees torn rows. |\n| **D**urability | Durability knob `INIBASE_DURABILITY=full` (default) fsyncs the temp file, the journal (begin/commit), and the affected directories (incl. shell `sed`/`gzip` temp paths and stream pipelines). DDL (create/update table, compression & prepend toggles) is fsynced too. `INIBASE_DURABILITY=none` skips **every** fsync while keeping the exact journal protocol — the data is process-crash safe (a crash leaves an in-flight journal that recovery rolls back or forward) but **not** power-loss safe, because the OS page cache can be lost. |\n\n**Commit-point ordering:** the pagination metadata rename happens *first* (the atomic publication point — the row count flips in a single rename that lock-free readers observe), then column files are swapped `live → backup` + `tmp → live`.\n\n### Transactions (multi-table atomicity)\n\n```js\nawait db.begin([\"orders\", \"invoices\"]); // pre-lock tables in sorted order (deadlock-free)\ntry {\n  await db.post(\"orders\", order);\n  await db.post(\"invoices\", invoice);\n  await db.commit(); // publish everything crash-atomically\n} catch {\n  await db.rollback(); // discard everything; no live file was touched\n}\n```\n\n- **Semantics:** mutations issued inside a transaction are *staged* — their\n  temps are fsynced and an `op` entry appended to the database journal — but no\n  live file changes until `commit()`. `commit()` publishes every staged\n  mutation (per table: pagination rename first, then column swaps) and ends\n  with a single fsynced `commit` marker, making the whole set atomic with\n  respect to crashes and process kills. `rollback()` removes the temps and the\n  journal without touching any live file.\n- **Cascade:** a `delete` inside a transaction cascades into referencing tables\n  *through the same journal*, so the whole parent + children removal is atomic;\n  a failure during the cascade aborts the transaction.\n- **Rules & limits (v1):**\n  - **No read-your-writes:** reads inside a transaction observe the last\n    committed state, not staged writes.\n  - **One mutation per table per transaction.** A second post/put/delete on a\n    table already staged in the same transaction throws `INVALID_PARAMETERS`\n    (composing same-table writes would require read-your-writes).\n  - **DDL is not allowed inside a transaction** (`createTable` / `updateTable`\n    throw `INVALID_PARAMETERS`).\n  - `begin` without a table list locks tables on first touch, in first-touch\n    order; list the tables up front to get sorted, cycle-free ordering.\n  - `returnPostedData` inside a transaction returns the formatted staged rows\n    (no joins); `returnUpdatedData` inside a transaction throws\n    `INVALID_PARAMETERS`.\n  - Transactions are excluded from structural lock-upgrade deadlocks, but two\n    long transactions that touch overlapping tables can only deadlock in the\n    first-touch-order case (pre-listing avoids it).\n\n### Scope & caveats\n\n- **Best-effort without a transaction.** Cross-table cascade deletes outside a\n  transaction stay best-effort: referencing rows are removed *after* the\n  primary delete commits, and a crash in between can leave orphaned references.\n  Wrap them in `begin`/`commit` for atomicity.\n- **NFS:** lock files use `O_EXCL` creation, which is advisory on some NFS\n  servers — two hosts may briefly both believe they hold a lock. Locks store\n  `{pid, host, startedAt}`: a same-host owner that is **provably dead**\n  (`kill(pid, 0)` fails) is stolen immediately; foreign/unknown owners fall\n  back to the TTL (`INIBASE_LOCK_TTL_MS`, default `60000`).\n- **fsync guarantees:** durability assumes the OS/filesystem honours `fsync`.\n  Some disks and virtualized filesystems silently ignore it; directory `fsync`\n  is unsupported on a few platforms (best-effort there). `none` mode\n  deliberately gives up power-loss durability — that is the whole point of the\n  knob.\n- **Cost:** at `full`, every mutation fsyncs the temp file, journal, and\n  directories — expect noticeably slower hot-path writes than pre-durability\n  builds (the benchmark compares `full` vs `none` side by side). The swap\n  protocol also transiently holds temp + backup + live copies (~2–3× a\n  column's size; worst case is a `put` with no `where` — a full-table rewrite).\n- **Cache (`.cache`):** entries are derived, rebuildable artifacts versioned by\n  the row count; they detect staleness but never participate in the ACID\n  guarantee. Non-fsync'd.\n\nRun `pnpm test:durability` for the journal-recovery, multi-process writer,\nlive-reader and stale-lock test suite, `pnpm test:transaction` for the\ntransaction/cascade/crash-recovery suite, and `pnpm benchmark:durability` for\nthe `full` vs `none` throughput comparison.\n\n## Inibase CLI\n\n```shell\nnpx inibase -p <databaseFolderPath>\n# by default it will diplay a list of available commands (or type 'help')\n```\n\n## Examples\n\n<details>\n<summary>Tables</summary>\n<blockquote>\n\n<details>\n<summary>Config</summary>\n<blockquote>\n\n```ts\ninterface {\n  compression: boolean;\n  cache: boolean;\n  prepend: boolean;\n  decodeID: boolean;\n}\n```\n\n</blockquote>\n</details>\n\n<details>\n<summary>Schema</summary>\n<blockquote>\n\n<details>\n<summary>Types</summary>\n<blockquote>\n\n```ts\ninterface Field {\n  id: number; // position in the schema; 0 = the row id, -1 = createdAt, -2 = updatedAt\n  key: string;\n  required?: boolean;\n  unique?: boolean | string; // boolean for simple uniqueness, string for grouped uniqueness\n  regex?: RegExp; // Regular expression for custom validation\n  type:\n    | \"string\"\n    | \"number\"\n    | \"boolean\"\n    | \"date\"\n    | \"email\"\n    | \"url\"\n    | \"password\"\n    | \"html\"\n    | \"ip\"\n    | \"json\"\n    | \"id\";\n}\n\ninterface TableField {\n  id: number;\n  key: string;\n  required?: boolean;\n  unique?: boolean | string; // Supports uniqueness constraints\n  type: \"table\";\n  table: string;\n}\n\ninterface ArrayField {\n  id: number;\n  key: string;\n  required?: boolean;\n  unique?: boolean | string; // Supports uniqueness constraints\n  type: \"array\";\n  children: string | string[]; // Can be a single type or an array of types\n}\n\ninterface ObjectOrArrayOfObjectsField {\n  id: number;\n  key: string;\n  required?: boolean;\n  unique?: boolean | string; // Supports uniqueness constraints\n  regex?: RegExp; // For validation of object-level keys\n  type: \"object\" | \"array\";\n  children: Schema; // Nested schema for objects or arrays\n}\n```\n\n</blockquote>\n</details>\n\n<details>\n<summary>Unique</summary>\n<blockquote>\n\nThe `unique` property ensures that the values of a specific column or a group of columns are unique within a table. This property can be either a boolean or a string.\n- **Boolean**: Setting `unique: true` ensures that the values in the column are unique across all rows.\n- **String**: By setting a string value, you can group columns to enforce a combined uniqueness constraint. This is useful when you need to ensure that a combination of values across multiple fields is unique.\n\n<details>\n<summary>Examples</summary>\n<blockquote>\n\n<details>\n<summary>Unique Column</summary>\n<blockquote>\n\n```js\n{\n  key: \"email\",\n  type: \"string\",\n  required: true,\n  unique: true, // Ensures all email values are unique\n}\n```\n\n</blockquote>\n</details>\n\n<details>\n<summary>Group of Unique Columns</summary>\n<blockquote>\n\n```js\n[\n  {\n    key: \"firstName\",\n    type: \"string\",\n    required: true,\n    unique: \"nameGroup\", // Part of \"nameGroup\" uniqueness\n  },\n  {\n    key: \"lastName\",\n    type: \"string\",\n    required: true,\n    unique: \"nameGroup\", // Part of \"nameGroup\" uniqueness\n  },\n]\n```\n\n</blockquote>\n</details>\n\n</blockquote>\n</details>\n\n</blockquote>\n</details>\n\n</blockquote>\n</details>\n\n<details>\n<summary>Create Table</summary>\n<blockquote>\n\n```js\nimport Inibase from \"inibase\";\nconst db = new Inibase(\"/databaseName\");\n\nconst userTableConfig = {\n  compression: true,\n  cache: true,\n  prepend: false,\n  decodeID: false\n}\n\nconst userTableSchema = [\n  {\n    key: \"username\",\n    type: \"string\",\n    required: true,\n  },\n  {\n    key: \"email\",\n    type: \"string\",\n    required: true,\n  },\n  {\n    key: \"age\",\n    type: \"number\",\n    required: true,\n  },\n  {\n    key: \"isActive\",\n    type: \"boolean\",\n    // required: false\n  },\n  {\n    key: \"hobbies\",\n    type: \"array\",\n    children: [\n      {\n        key: \"name\",\n        type: \"string\",\n        // required: false\n      },\n      {\n        key: \"level\",\n        type: \"string\",\n        // required: false\n      },\n    ],\n  },\n  {\n    key: \"favoriteFoods\",\n    type: \"array\",\n    children: \"string\",\n    // required: false\n  },\n  {\n    key: \"address\",\n    type: \"object\",\n    children: [\n      {\n        key: \"street\",\n        type: \"string\",\n        // required: false\n      },\n      {\n        key: \"city\",\n        type: \"string\",\n        // required: false\n      },\n      {\n        key: \"country\",\n        type: \"string\",\n        // required: false\n      },\n    ],\n  },\n];\n\nawait db.createTable(\"user\", userTableSchema, userTableConfig);\n```\n\n#### `decodeID`\n\nBy default a row's `id` is stored as a number but only ever handed back as an\nencrypted (`aes-256-cbc`, hex) string, so ids can't be guessed by incrementing.\nSet `decodeID: true` and the id is exposed as the **plain number** everywhere —\n`get` rows, `get`/`put`/`delete` by id, relation lookups, and the id returned by\n`post`:\n\n```js\nconst db = new Inibase(\"/databaseName\");\nawait db.createTable(\"item\", [{ key: \"name\", type: \"string\" }], {\n  decodeID: true,\n});\n\nconst id = await db.post(\"item\", { name: \"widget\" }); // => 1  (a number)\nawait db.get(\"item\", 1); // works with the raw number\n```\n\nSo `post` returns a `number` on a `decodeID` table and an encrypted `string` on\nevery other table — in TypeScript its return type is `string | number`\n(`(string | number)[]` for a bulk post). Encrypted ids stay valid inputs on a\n`decodeID` table too, so existing clients that round-trip an id keep working\neither way. `decodeID` can be toggled later with `updateTable`.\n\n</blockquote>\n</details>\n\n<details>\n<summary>Update Table</summary>\n<blockquote>\n  \n<details>\n<summary>Change Name</summary>\n<blockquote>\n\n```js\nimport Inibase from \"inibase\";\nconst db = new Inibase(\"/databaseName\");\n\n// this will change table name also in joined tables\nawait db.updateTable(\"user\", undefined, {name: \"userV2\"});\n```\n\n</blockquote>\n</details>\n\n<details>\n<summary>Update field</summary>\n<blockquote>\n\n```js\nimport Inibase from \"inibase\";\nimport { setField } from \"inibase/utils\";\n\nconst db = new Inibase(\"/databaseName\");\n\nconst userTableSchema = (await db.getTable(\"user\")).schema;\nsetField(\"username\", userTableSchema, {key: \"fullName\"});\nawait db.updateTable(\"user\", newUserTableSchema);\n```\n\n</blockquote>\n</details>\n\n<details>\n<summary>Remove field</summary>\n<blockquote>\n\n```js\nimport Inibase from \"inibase\";\nimport { unsetField } from \"inibase/utils\";\n\nconst db = new Inibase(\"/databaseName\");\n\nconst userTableSchema = (await db.getTable(\"user\")).schema;\nunsetField(\"fullName\", userTableSchema);\nawait db.updateTable(\"user\", newUserTableSchema);\n```\n\n</blockquote>\n</details>\n\n</blockquote>\n</details>\n\n<details>\n<summary>Join Tables</summary>\n<blockquote>\n\n```js\nimport Inibase from \"inibase\";\nconst db = new Inibase(\"/databaseName\");\n\nconst productTableSchema = [\n  {\n    key: \"title\",\n    type: \"string\",\n    required: true,\n  },\n  {\n    key: \"price\",\n    type: \"number\",\n  },\n  {\n    key: \"createdBy\",\n    type: \"table\",\n    table: \"user\",\n    required: true,\n  },\n];\n\nawait db.createTable(\"product\", productTableSchema);\n\nconst productTableData = [\n  {\n    title: \"Product 1\",\n    price: 16,\n    createdBy: \"1d88385d4b1581f8fb059334dec30f4c\",\n  },\n  {\n    title: \"Product 2\",\n    price: 10,\n    createdBy: \"5011c230aa44481bf7e8dcfe0710474f\",\n  },\n];\n\nconst product = await db.post(\"product\", productTableData);\n// [\n//   {\n//     \"id\": \"1d88385d4b1581f8fb059334dec30f4c\",\n//     \"title\": \"Product 1\",\n//     \"price\": 16,\n//     \"createdBy\": {\n//       \"id\": \"1d88385d4b1581f8fb059334dec30f4c\",\n//       \"username\": \"user1\",\n//       \"email\": \"user1@example.com\",\n//       ...\n//     }\n//   },\n//   {\n//     \"id\": \"5011c230aa44481bf7e8dcfe0710474f\",\n//     \"title\": \"Product 2\",\n//     \"price\": 10,\n//     \"createdBy\": {\n//       \"id\": \"5011c230aa44481bf7e8dcfe0710474f\",\n//       \"username\": \"user2\",\n//       ...\n//     }\n//   }\n// ]\n```\n\n</blockquote>\n</details>\n\n</blockquote>\n</details>\n\n<details open>\n<summary>Methods</summary>\n<blockquote>\n\n<details>\n<summary>POST</summary>\n<blockquote>\n\n```js\nimport Inibase from \"inibase\";\nconst db = new Inibase(\"/databaseName\");\n\nconst userTableData = [\n  {\n    username: \"user1\",\n    email: \"user1@example.com\",\n    age: 25,\n    isActive: true,\n    hobbies: [\n      { name: \"Reading\", level: \"Intermediate\" },\n      { name: \"Cooking\", level: \"Beginner\" },\n    ],\n    favoriteFoods: [\"Pizza\", \"Sushi\", \"Chocolate\"],\n    address: {\n      street: \"123 Main St\",\n      city: \"Exampleville\",\n      country: \"Sampleland\",\n    },\n  },\n  {\n    username: \"user2\",\n    email: \"user2@example.com\",\n    age: 30,\n    isActive: false,\n    hobbies: [\n      { name: \"Gardening\", level: \"Advanced\" },\n      { name: \"Photography\", level: \"Intermediate\" },\n    ],\n    favoriteFoods: [\"Burgers\", null, \"Salad\"],\n    address: {\n      street: \"456 Elm Rd\",\n      city: \"Testington\",\n      country: \"Demo Country\",\n    },\n  },\n];\n\nconst users = await db.post(\"user\", userTableData);\n// [\n//   {\n//     \"id\": \"1d88385d4b1581f8fb059334dec30f4c\",\n//     \"username\": \"user1\",\n//     \"email\": \"user1@example.com\",\n//     \"age\": 25,\n//     \"isActive\": true,\n//     \"hobbies\": {\n//       \"name\": [\n//         \"Reading\",\n//         \"Cooking\"\n//       ],\n//       \"level\": [\n//         \"Intermediate\",\n//         \"Beginner\"\n//       ]\n//     },\n//     \"favoriteFoods\": [\n//       \"Pizza\",\n//       \"Sushi\",\n//       \"Chocolate\"\n//     ],\n//     \"address\": {\n//       \"street\": \"123 Main St\",\n//       \"city\": \"Exampleville\",\n//       \"country\": \"Sampleland\"\n//     }\n//   },\n//   {\n//     \"id\": \"5011c230aa44481bf7e8dcfe0710474f\",\n//     \"username\": \"user2\",\n//     ...\n//   },\n//   ...\n// ]\n```\n\n</blockquote>\n</details>\n\n<details>\n<summary>GET</summary>\n<blockquote>\n\n<details>\n<summary>GET by ID</summary>\n<blockquote>\n\n```js\nimport Inibase from \"inibase\";\nconst db = new Inibase(\"/databaseName\");\n\nconst user = await db.get(\"user\", \"1d88385d4b1581f8fb059334dec30f4c\");\n// {\n//     \"id\": \"1d88385d4b1581f8fb059334dec30f4c\",\n//     \"username\": \"user1\",\n//     \"email\": \"user1@example.com\",\n//     \"age\": 25,\n//     \"isActive\": true,\n//     \"hobbies\": {\n//         \"name\": [\n//             \"Reading\",\n//             \"Cooking\"\n//         ],\n//         \"level\": [\n//             \"Intermediate\",\n//             \"Beginner\"\n//         ]\n//     },\n//     \"favoriteFoods\": [\n//         \"Pizza\",\n//         \"Sushi\",\n//         \"Chocolate\"\n//     ],\n//     \"address\": {\n//         \"street\": \"123 Main St\",\n//         \"city\": \"Exampleville\",\n//         \"country\": \"Sampleland\"\n//     }\n// }\n```\n\n</blockquote>\n</details>\n\n<details>\n<summary>GET by criteria</summary>\n<blockquote>\n\n```js\nimport Inibase from \"inibase\";\nconst db = new Inibase(\"/databaseName\");\n\nconst users = await db.get(\"user\", { favoriteFoods: \"[]Pizza\" });\n// [\n//   {\n//     \"id\": \"1d88385d4b1581f8fb059334dec30f4c\",\n//     \"username\": \"user1\",\n//     \"email\": \"user1@example.com\",\n//     \"age\": 25,\n//     \"isActive\": true,\n//     \"hobbies\": {\n//       \"name\": [\n//         \"Reading\",\n//         \"Cooking\"\n//       ],\n//       \"level\": [\n//         \"Intermediate\",\n//         \"Beginner\"\n//       ]\n//     },\n//     \"favoriteFoods\": [\n//       \"Pizza\",\n//       \"Sushi\",\n//       \"Chocolate\"\n//     ],\n//     \"address\": {\n//       \"street\": \"123 Main St\",\n//       \"city\": \"Exampleville\",\n//       \"country\": \"Sampleland\"\n//     }\n//   },\n//   ...\n// ]\n```\n\n</blockquote>\n</details>\n\n<details>\n<summary>GET with columns</summary>\n<blockquote>\n\n```js\nimport Inibase from \"inibase\";\nconst db = new Inibase(\"/databaseName\");\n\n// Get all \"user\" columns except \"username\" & \"address.street\"\nconst users = await db.get(\"user\", undefined, {\n  columns: [\"!username\", \"!address.street\"],\n});\n\n// Columns accept dotted nested paths (e.g. \"address.street\" => nested field)\nconst nested = await db.get(\"user\", undefined, {\n  columns: [\"address.street\", \"hobbies.name\"],\n});\n\n// Get all columns explicitly with the \"*\" wildcard\nconst all = await db.get(\"user\", undefined, {\n  columns: [\"*\"],\n});\n```\n\n</blockquote>\n</details>\n\n</blockquote>\n</details>\n\n<details>\n<summary>PUT</summary>\n<blockquote>\n\n```js\nimport Inibase from \"inibase\";\nconst db = new Inibase(\"/databaseName\");\n\n// set \"isActive\" to \"false\" for all items in table \"user\"\nawait db.put(\"user\", { isActive: false });\n\n// set \"isActive\" to \"true\" for specific \"user\" by id\nawait db.put(\"user\", { isActive: false }, \"1d88385d4b1581f8fb059334dec30f4c\");\n\n// set \"isActive\" to \"true\" in table \"user\" by criteria (where \"isActive\" is equal to \"true\")\nawait db.put(\"user\", { isActive: false }, { isActive: true });\n```\n\n</blockquote>\n</details>\n\n<details>\n<summary>DELETE</summary>\n<blockquote>\n\n```js\nimport Inibase from \"inibase\";\nconst db = new Inibase(\"/databaseName\");\n\n// delete all items in \"user\" table\nawait db.delete(\"user\");\n\n// delete a specific \"user\" by id\nawait db.put(\"user\", \"1d88385d4b1581f8fb059334dec30f4c\");\n\n// delete \"user\" by criteria (where \"isActive\" is equal to \"false\")\nawait db.put(\"user\", { isActive: false });\n```\n\n</blockquote>\n</details>\n\n<details>\n<summary>SUM</summary>\n<blockquote>\n\n```js\nimport Inibase from \"inibase\";\nconst db = new Inibase(\"/databaseName\");\n\n// get the sum of column \"age\" in \"user\" table\nawait db.sum(\"user\", \"age\");\n\n// get the sum of column \"age\" by criteria (where \"isActive\" is equal to \"false\") in \"user\" table\nawait db.sum(\"user\", [\"age\", ...], { isActive: false });\n\n// aggregate over the elements of an array-of-objects column: `items.quantity`\n// counts every element of every row's `items` (single array path per call;\n// `product` here is an *element* predicate, matching elements whose linked\n// product is the given row)\nawait db.sum(\"orders\", \"items.quantity\", { product: \"id-of-widget\" }, { nested: true });\n\n// multiple columns share one predicate and return a record\nawait db.sum(\n\t\"orders\",\n\t[\"items.quantity\", \"items.lineTotal\"],\n\t{ product: \"id-of-widget\" },\n\t{ nested: true },\n); // => { \"items.quantity\": 5, \"items.lineTotal\": 1295 }\n```\n\n</blockquote>\n</details>\n\n<details>\n<summary>MAX</summary>\n<blockquote>\n\n```js\nimport Inibase from \"inibase\";\nconst db = new Inibase(\"/databaseName\");\n\n// get the biggest number of column \"age\" in \"user\" table\nawait db.max(\"user\", \"age\");\n\n// get the biggest number of column \"age\" by criteria (where \"isActive\" is equal to \"false\") in \"user\" table\nawait db.max(\"user\", [\"age\", ...], { isActive: false });\n```\n\n</blockquote>\n</details>\n\n<details>\n<summary>MIN</summary>\n<blockquote>\n\n```js\nimport Inibase from \"inibase\";\nconst db = new Inibase(\"/databaseName\");\n\n// get the smallest number of column \"age\" in \"user\" table\nawait db.min(\"user\", \"age\");\n\n// get the smallest number of column \"age\" by criteria (where \"isActive\" is equal to \"false\") in \"user\" table\nawait db.min(\"user\", [\"age\", ...], { isActive: false });\n```\n\n</blockquote>\n</details>\n\n<details>\n<summary>SORT</summary>\n<blockquote>\n\n```js\nimport Inibase from \"inibase\";\nconst db = new Inibase(\"/databaseName\");\n\n// order users by the age column\nawait db.get(\"user\", undefined, { sort: \"age\" });\n\n// order users by the age and username columns\nawait db.get(\"user\", undefined, { sort: [\"age\", \"username\"] });\nawait db.get(\"user\", undefined, { sort: {age: -1, username: \"asc\"} });\n```\n\n</blockquote>\n</details>\n\n<details>\n<summary>Computed Fields</summary>\n<blockquote>\n\nA `computed` column is derived from other columns of the same row whenever the\nrow is written (`post` / `put`, including backfill on `updateTable`). The\nresult is stored in its own column file like any other value, so reads and\ncriteria queries work unchanged.\n\n```ts\nconst db = new Inibase(\"/databaseName\");\n\nawait db.createTable(\"product\", [\n\t{ key: \"name\", type: \"string\" },\n\t{ key: \"price\", type: \"number\" },\n]);\n\n// ids are assigned per table in schema order: customer=1, status=2, items=3,\n// product=4, quantity=5, unitPriceCents=6, totalCents=7, totalCentsLive=8\nawait db.createTable(\"orders\", [\n\t{ key: \"customer\", type: \"string\" },\n\t{ key: \"status\", type: \"number\" },\n\t{\n\t\tkey: \"items\",\n\t\ttype: \"array\",\n\t\tchildren: [\n\t\t\t{ key: \"product\", type: \"table\", table: \"product\" },\n\t\t\t{ key: \"quantity\", type: \"number\" },\n\t\t\t{ key: \"unitPriceCents\", type: \"number\" },\n\t\t],\n\t},\n\t{ key: \"totalCents\", type: \"number\", computed: \"sum(5 * 6)\" }, // quantity x unitPriceCents\n\t{ key: \"totalCentsLive\", type: \"number\", computed: \"sum(5 * 4.2)\" }, // quantity x product.price\n]);\n\nconst posted = await db.post(\n\t\"orders\",\n\t{\n\t\tcustomer: \"acme\",\n\t\tstatus: 1,\n\t\titems: [\n\t\t\t{ product: \"id-of-widget\", quantity: 2, unitPriceCents: 250 },\n\t\t\t{ product: \"id-of-gadget\", quantity: 1, unitPriceCents: 100 },\n\t\t],\n\t},\n\tundefined,\n\ttrue,\n);\n// posted.totalCents === 600      (2*250 + 1*100)\n// posted.totalCentsLive === 847  (2*price(widget) + 1*price(gadget))\n```\n\nA child of an array-of-objects column can itself be computed. It is evaluated\nonce **per element** and stored in its own element cell, so it works like any\nother element child in queries — including `sum` with `{ nested: true }`:\n\n```ts\n// ids are assigned per table in schema order: status=1, items=2, product=3,\n// quantity=4, lineTotal=5\nawait db.createTable(\"orders\", [\n\t{ key: \"status\", type: \"number\" },\n\t{\n\t\tkey: \"items\",\n\t\ttype: \"array\",\n\t\tchildren: [\n\t\t\t{ key: \"product\", type: \"table\", table: \"product\" },\n\t\t\t{ key: \"quantity\", type: \"number\" },\n\t\t\t// lineTotal = quantity × product.price  (\"4 * 3.2\": id 4 = quantity,\n\t\t\t// hop to the linked product's price, id 2 in `product`)\n\t\t\t{ key: \"lineTotal\", type: \"number\", computed: \"4 * 3.2\" },\n\t\t],\n\t},\n]);\n\nconst posted = await db.post(\n\t\"orders\",\n\t{\n\t\tstatus: 1,\n\t\titems: [\n\t\t\t{ product: \"id-of-widget\", quantity: 2 },\n\t\t\t{ product: \"id-of-gadget\", quantity: 1 },\n\t\t],\n\t},\n\tundefined,\n\ttrue,\n);\n// posted.items[0].lineTotal === 2 * price(widget)\n// posted.items[1].lineTotal === 1 * price(gadget)\n\n// per-product revenue without touching the line items yourself:\nawait db.sum(\"orders\", \"items.lineTotal\", { product: \"id-of-widget\" }, { nested: true });\n```\n\nA top-level computed may read a computed child through a helper\n(`{ key: \"totalCents\", type: \"number\", computed: \"sum(5)\" }`) — the children\nare derived first, in dependency order.\n\n**Element expressions (child computeds).**\n\n- Every reference must be a sibling child of the same array root — top-level\n  columns and siblings of a *different* array are rejected\n  (`COMPUTED_FIELD_INVALID_TARGET`), and helpers (`sum`/`avg`/...) are not\n  allowed inside element expressions.\n- Link hops are supported (`4 * 3.2` = sibling `quantity` × linked\n  `product.price`).\n- The element field must be `type: \"number\"`.\n- A **missing/null** operand in an element evaluates to `0` for that element\n  (it never aborts the write and never stores null). A genuinely dangling link\n  (a link to a missing row) still raises `COMPUTED_FIELD_DANGLING_LINK`, same\n  as top-level computeds.\n- `updateTable` backfills element cells when a child computed is added or its\n  expression changes; the backfill resolves links from the persisted element\n  values and follows the same missing-operand → `0` rule.\n\n**Expression language (v1, integer-only).**\n\n- Operators: `+` `-` `*` `/` `%`; `( )` for grouping. Multiplication\n  binds tighter than addition (`1 * 2 + 3` = `(1*2) + 3`).\n- Helpers: `sum` `count` `avg` `min` `max` iterate an array-of-objects found by\n  the ids inside the parentheses (`sum(5 * 6)` = quantity x unit-price per item).\n- Paths: `id (\".\" id)*` where `.` hops through a `table` link\n  (`4.2` = price of the linked product row).\n- Integers only: there are no decimal literals — `.` is the path separator, so\n  `3.14` is a path (`field 3`, hop `field 14`), never 3.14. Fractional results\n  are written as division: `314 / 100` → 3.14.\n- A bare integer that matches a field id in the table's schema is that field\n  (ids are locative); a bare integer that matches no field is a literal.\n\n**Rules & limits (v1).**\n\n- Computed fields cannot be `required`, `unique` or `regex` (a\n  `COMPUTED_FIELD_CONFLICT` error).\n- Computed values are never user-settable (`post`/`put` with a computed key\n  throws `COMPUTED_FIELD_SETTABLE`).\n- Values are evaluated at write time and persisted; compiled expressions are\n  stored as `{ expr, ast }` in the schema. The AST carries only field ids, so\n  renaming a column (or its linked table's columns) never retargets an\n  expression.\n- `updateTable` backfills existing rows when a computed field is added or its\n  expression changes; a backfill that fails (missing dependency, arithmetic\n  error, dangling link) aborts the migration and leaves the schema untouched.\n- Aggregates: `sum` over no values is `0`, `count` is the element count, and\n  `avg`/`min`/`max` over no values throw `COMPUTED_FIELD_ARITHMETIC`.\n- Non-numeric operands, division/modulo by zero, and arithmetic over missing\n  (null) values throw `COMPUTED_FIELD_ARITHMETIC`; a link to a missing row\n  throws `COMPUTED_FIELD_DANGLING_LINK`. (Element expressions are the one\n  exception: a missing/null operand there evaluates that element to `0` — see\n  above.)\n- Child computeds (see above) extend the v1 rules to element fields of\n  array-of-objects columns; array contents stay reachable from top-level\n  helpers. Only one level of nesting is computed.\n- Missing link values make a single bare path evaluate to null (stored\n  empty).\n\n</blockquote>\n</details>\n\n</blockquote>\n</details>\n\n## Benchmark\n\n### Bulk\n\n|        | 10                | 100               | 1000              |\n|--------|-------------------|-------------------|-------------------|\n| POST   | 11 ms (0.66 mb)   | 5 ms (1.02 mb)    | 24 ms (1.44 mb)   |\n| GET    | 29 ms (2.86 mb)   | 24 ms (2.81 mb)   | 36 ms (0.89 mb)   |\n| PUT    | 21 ms (2.68 mb)   | 16 ms (2.90 mb)   | 12 ms (0.63 mb)   |\n| DELETE | 14 ms (0.82 mb)   | 13 ms (0.84 mb)   | 2 ms (0.17 mb)    |\n\n\n### Single\n\n|        | 10                  | 100                | 1000               |\n|--------|---------------------|--------------------|--------------------|\n| POST   | 45 ms (1.07 mb)     | 12 ms (0.52 mb)    | 11 ms (0.37 mb)    |\n| GET    | 200 ms (2.15 mb)    | 192 ms (2.72 mb)   | 190 ms (2.31 mb)   |\n| PUT    | 49 ms (3.22 mb)     | 17 ms (2.98 mb)    | 17 ms (3.06 mb)    |\n| DELETE | 118 ms (0.59 mb)    | 113 ms (0.51 mb)   | 103 ms (3.14 mb)   |\n\n> Default testing uses a table with username, email, and password fields, ensuring password encryption is included in the process<br>\n> Results are measured on a default table plus dedicated tables with `prepend`, `compression`, and `decodeID` configs enabled<br>\n> To run benchmarks, install _typescript_ & _[tsx](https://github.com/privatenumber/tsx)_ globally and run `benchmark` by default bulk, for single use `benchmark --single|-s`\n>\n> > [!WARNING]\n> > The numbers above were measured **before** always-on fsync + write-ahead journaling landed (they no longer reflect current hot-path write costs). Run `pnpm benchmark:durability` for the crash-atomic numbers.\n\n### Computed fields\n\nWrite-time evaluation cost (helpers `sum(3 * 4)`, `avg(4)`, `min(4)`, `max(4)`, `count(3)` over an `items` array with 3 lines, plus an arithmetic field `itemTotal × (314 / 100)`), compared against the identical table without computed fields:\n\n| rows | POST bulk (plain / computed) | POST single (plain / computed) | PUT recompute (plain / computed) |\n|------|------------------------------|--------------------------------|----------------------------------|\n| 10   | 21.90 / 22.69 ms             | 25.24 / 26.80 ms               | 23.10 / 37.07 ms                 |\n| 100  | 22.00 / 25.23 ms             | 25.24 / 26.80 ms               | 22.16 / 40.00 ms                 |\n| 1000 | 28.79 / 35.15 ms             | 25.24 / 26.80 ms               | 21.01 / 45.05 ms                 |\n\n> Min of 3 rounds (fsync + journal on); the plain-vs-computed delta is the pure expression-evaluation cost (~6 ms/1000 rows of helpers on POST, more on `PUT` because every matched row is recomputed). GET all (1110 rows): 11.44 / 15.90 ms — computed values are stored in real column files, so reads never evaluate; the gap is the larger column count to scan. Run `pnpm benchmark:computed` to reproduce.\n\n**Link-heavy: shared product catalog with batched link-hop reads.** Every order's line items reference a shared 20-row catalog; `totalCentsLive = sum(quantity, product.price)` follows one link hop per line item. The engine batches the hops across the whole post: each batch resolves at most one read per **distinct** `(table, column, id)` triple (here: catalogSize=20 product rows) instead of one full row-level read per line item (2000 reads for 1000 orders × 2 items):\n\n| rows | POST bulk (lk link hop) |\n|------|-------------------------|\n| 10   | 42.29 ms                |\n| 100  | 47.76 ms                |\n| 1000 | 59.46 ms                |\n\n> Shared 20-row catalog (10/100/1000 orders × 2 line items). Without batching every line item re-reads its product row; with it each batch resolves ≤ catalogSize distinct linked rows once (deduplicated across every line item and every order of the batch) and re-evaluates against the warm in-memory cache. A dangling link anywhere in the batch still rejects the whole post (`COMPUTED_FIELD_DANGLING_LINK`). HTTP-request bound, not disk-bound: the cost scales with the number of *distinct* linked rows the catalog actually has, not with line-item count.\n\n## Roadmap\n\n- [x] Actions:\n  - [x] GET:\n    - [x] Pagination\n    - [x] Criteria\n    - [x] Columns\n    - [x] Sort\n  - [x] POST\n  - [x] PUT\n  - [x] DELETE\n  - [x] SUM\n  - [x] MAX\n  - [x] MIN\n- [x] Schema supported types:\n  - [x] String\n  - [x] Number\n  - [x] Boolean\n  - [x] Date\n  - [x] Email\n  - [x] Url\n  - [x] Table\n  - [x] Object\n  - [x] Array\n  - [x] Password\n  - [x] IP\n  - [x] HTML\n  - [x] Id\n  - [x] JSON\n- [ ] TO-DO:\n  - [x] Use new Map() instead of Object\n  - [ ] Ability to search in JSON fields\n  - [x] Re-check used exec functions\n  - [ ] Use smart caching (based on N° of queries)\n  - [ ] Commenting the code\n  - [ ] Add Backup feature (generate a tar.gz)\n  - [x] Add Custom field validation property to schema (using RegEx?)\n- [ ] Features:\n  - [ ] Encryption\n  - [x] Data Compression\n  - [x] Caching System\n  - [x] Computed fields (v1 id-only expression language)\n  - [ ] Suggest [new feature +](https://github.com/inicontent/inibase/discussions/new?category=ideas)\n\n## License\n\n[MIT](./LICENSE)\n","readmeFilename":"README.md"}