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[Overview](#1-overview)\n   - [1.1 Breaking Changes](#11-breaking-changes)\n   - [1.2 What's New](#12-whats-new)\n   - [1.3 Key Features](#13-key-features)\n2. [Getting Started](#2-getting-started)\n   - [2.1 Prerequisites](#21-prerequisites)\n   - [2.2 Installation](#22-installation)\n   - [2.3 Setup Guide](#23-setup-guide)\n3. [Built-in Methods](#3-built-in-methods)\n4. [Querying](#4-querying)\n   - [4.1 Fetching Records](#41-fetching-records)\n   - [4.2 Inserting and Updating Records](#42-inserting-and-updating-records)\n   - [4.3 Deleting Records](#43-deleting-records)\n   - [4.4 Raw Queries](#44-raw-queries)\n   - [4.5 Exporting Records](#45-exporting-records)\n   - [4.6 Resetting a Table](#46-resetting-a-table)\n5. [Built-in Constants / Units / Wrapper Objects / Comparator Objects](#5-built-in-constants-units-wrapper-objects-and-comparator-objects)\n   - [5.1 Constants (Reserved Keywords)](#51-constants-reserved-keywords)\n   - [5.2 Units (Date/Time)](#52-units-datetime)\n   - [5.3 Wrapper Objects](#53-wrapper-objects)\n   - [5.4 Comparator Objects](#54-comparator-objects)\n6. [Session Manager](#6-session-manager)\n7. [Examples](#7-examples)\n8. [FAQs](#8-faqs)\n\n---\n\n## 1. Overview\n\n**UnSQL** dynamically generates scalable, high-performance SQL under the hood from plain JavaScript objects, eliminating the need to write or maintain raw queries. It uses parameterized statements throughout to prevent SQL injection, and returns structured `{ success, result/error }` responses on every execution - no try/catch required.\n\n---\n\n### 1.1 Breaking Changes\n\n**Version v2.5** - Following are the breaking changes:\n\n1. sub-query support directly inside `json` wrapper moved to deprecated status; use combination of [`refer`](#refer-wrapper) and [`json`](#json-wrapper) suggested \n2. `if` wrapper moved to deprecated status since `IF()` is not standard function across all SQL dialects; use of [`case`](#case-wrapper) wrapper suggested\n\n**Version v2.3** - `save` method fully rewritten. The following are breaking changes:\n\n**1. `upsert` format changed from object `{}` to array `[]`**\n**2. `junction` property (was being used in `where` and `having` clause) is dropped in favour of newer `and` and `or` wrappers**\n\n```javascript\n// ❌ v2.2 and below\nawait User.save({ data, upsert: { likes: 1, views: 1 } })\n\n// ✅ v2.3+\nawait User.save({ data, upsert: ['views', { likes: { add: 1 } }] })\n```\n\n**2. `indexes` parameter added - required for PostgreSQL and SQLite upsert**\n\n```javascript\n// PostgreSQL / SQLite must now specify the conflict target column(s)\nawait User.save({\n    data: { email: 'john@example.com', name: 'John' },\n    upsert: ['name'],\n    indexes: ['email']\n})\n```\n\n---\n\n**Version v2.2.4** - SQLite only. `insertId` and `changes` moved inside `result`:\n\n```javascript\n{ success: true, result: { insertId, changes } }\n```\n\n---\n\n**Version v2.0** - complete rewrite. If using v1.x, update your import:\n\n```javascript\n// v1.x - add '/legacy' to keep using the old API\nimport UnSQL from 'unsql/legacy'\n\n// v2.x\nimport { UnSQL } from 'unsql'\n```\n> [v1.x documentation](https://github.com/siddharthtiwari-03/UnSQL/tree/legacy) is on GitHub.\n---\n\n### 1.2 What's New?\n\n**Version v2.5**\n\n- **Enhanced Base Query** - Helper function created for DRY implementation of knitting query components together\n- **Derived Tables** - New `table` property added to `find` method's parameters, table inside `refer` wrapper and `join` also now support base query object (similar to find query object) along with table name\n- **Smaller footprint** - code optimization to reduce the already small package size\n- **Revamped Find** - completely re-written the `find` method to leverage the new Base Query handler\n- **Revamped Joins** - completely re-written the `join` handler to leverage the new Base Query handler\n- **Common Table Expression** - support for CTEs added to all three (`find`, `save` and `delete`) methods, can be used in combination with `where`, `join` clause and even in `select` clause\n- **Enhanced Aggregate wrappers** - aggregate wrappers viz. `sum`, `avg`, `min` and `max` support multiple columns/values, `min` and `max` wrappers use dialect compatible methods with multiple columns/values\n- **enhanced casting** - cast to `decimal` value support added to `num` wrapper\n\n**Version v2.4**\n\n- **Aggregate Window** - aggregate wrappers `sum` `count` `avg` `min` `max` now have `over` property for advanced **window queries**\n- **Enhance Upsert** - arithmetic operations in upsert now use table prefix\n- **Atomic Transactions** - all queries now use atomic transactions, unless *Session Manager* is used for transaction lifecycle hooks\n- **Faster Execution** - internal code optimization to result in roughly 10-15% faster query generation\n- **Session Manager stabilized** - handled transaction lifecycle exceptions\n- **New Rank Window Functions** - `rank` `denseRank` `percentRank` `rowNum` `nTile` added to built-in [wrapper objects](#53-wrapper-objects)\n- **New Value Window Functions** `firstValue` `lastValue` `nthValue` added to built-in [wrapper objects](#53-wrapper-objects)\n- **New Offset Window Functions** - `lead` `lag` added to built-in [wrapper objects](#53-wrapper-objects)\n- **Standardized ifNull property** - `IFNULL` / `ISNULL` replaced with dialect agnostic `COALESCE`\n- **ifNull support in sub-query** - `ifNull` support added to `refer` and `json` wrappers\n- **New SQL constants support in ifNull** - `ifNull` property now supports 2 new SQL constants `jsonArray` and `jsonObject`\n- **Aggregate in refer** - `refer` wrapper now supports `aggregate` feature similar to `json` wrapper\n- **Stable Pre-aggregated Joins** - The Derived tables inside pre-aggregated joins stable\n- **Coalesce Wrapper added** - New `coalesce` wrapper object added to the list\n\n**Version v2.3**\n\n- **Documentation** - fresh (query based instead of interface focused) approach for documentation for better understanding\n- **Bulk insert with encryption** across all dialects\n- **Bulk upsert** across all dialects\n- **Upsert encryption** - upsert now supports proper encryption\n- **Upsert operations** - chained arithmetic (`add`, `sub`, `mul`, `div`, `mod`) and subquery references (`refer`) on conflict\n- **`orderBy.using`** - new array for expression-based sorting: derived columns, aggregates, date expressions, subquery references\n- **~98% faster SQL generation** - internal code generation optimized\n- **improved benchmarks** - method and log generated while benchmarking improved\n- **encryption / decryption cleaned** - underlying code for encryption and decryption cleaned\n- **New debug mode** - `sandbox` is added to debug mode, lets you debug generated SQL without actually executing them on database\n\n**Version v2.2** - TypeScript support with `.d.ts` files and enhanced type hinting.\n\n**Version v2.1** - multiple dialect support, unified codebase, `rawQuery` restored, Session Manager improvements.\n\n---\n\n### 1.3 Key Features\n\n- **AI delete all protection** default config `safeMode: true` blocks *Delete everything from database* query in `delete()`\n- **Promise-based** async/await interface\n- **Schemaless** - no migration files, no boilerplate schema definitions\n- **Unified codebase** - one codebase, three SQL dialects\n- **Class-based models** - config and query logic in one clean class\n- **SQL injection safe** - all values parameterized, identifiers typed, custom sanitized\n- **Structured responses** - always `{ success, result }` or `{ success: false, error }`\n- **Transaction support** - `SessionManager` handles begin/commit/rollback across queries\n- **Graceful error handling** - no try/catch needed in application code\n- **JSDoc-compatible** - full IDE type checking and autocomplete\n- **Built-in debug modes** - inspect SQL, errors, and benchmarks\n- **Built-in AES Encryption/Decryption** - no third-party packages needed\n- **Advanced querying** - Supports nested/aggregated join/sub-query/derived tables/columns\n\n---\n\n## 2. Getting Started\n\n### 2.1 Prerequisites\n\nUnSQL needs a connection pool from a dialect-specific driver.\n\n**MySQL** - install `mysql2`\n\n```javascript\nimport mysql2 from 'mysql2/promise'\n\nexport const pool = mysql2.createPool({\n    host: 'localhost',\n    database: 'test_db',\n    user: 'your_username',\n    password: 'your_password',\n    connectionLimit: 20,\n    waitForConnections: true,\n    enableKeepAlive: true,\n    keepAliveInitialDelay: 10000,\n    namedPlaceholders: true,    // required for named placeholders in rawQuery\n    multipleStatements: true    // required for multiple statements in rawQuery\n})\n```\n\n**PostgreSQL** - install `pg`\n\n```javascript\nimport { Pool } from 'pg'\n\nexport const pool = new Pool({\n    host: 'localhost',\n    database: 'test_db',\n    user: 'your_username',\n    password: 'your_password'\n})\n```\n\n**SQLite** - install `sqlite` and `sqlite3`\n\n```javascript\nimport sqlite3 from 'sqlite3'\nimport { open } from 'sqlite'\n\nexport const pool = (async () => {\n    return await open({ filename: './test.db', driver: sqlite3.Database })\n})()\n```\n\n> For remote databases (e.g. AWS RDS), deploy your application in the same cloud region as the database. Network latency otherwise dominates query time regardless of SQL complexity.\n\n---\n\n### 2.2 Installation\n\n```bash\nnpm i unsql       # npm\nyarn add unsql    # yarn\npnpm add unsql    # pnpm\n```\n\n---\n\n### 2.3 Setup Guide\n\nCreate a **model class** for each database table. Every model extends `UnSQL` and declares a static `config` property.\n\n```javascript\n// @ts-check\nimport { UnSQL } from 'unsql'\nimport { pool } from './db'   // your pool from section 2.1\n\n/** @extends UnSQL */\nexport class User extends UnSQL {\n\n    /** @type {UnSQL.config} */\n    static config = {\n        table: 'users',     // (required) table name\n        pool,               // (required) connection pool\n        safeMode: true,     // prevents accidental delete-all / reset\n        devMode: false,     // required to use export / reset\n        dialect: 'mysql'    // 'mysql' (default) | 'postgresql' | 'sqlite'\n    }\n\n}\n```\n\nThat's all the setup needed. You can now call `User.find()`, `User.save()`, `User.delete()`, etc.\n\n#### Config Options\n\n| Property           | Default     | Description                                                                                             |\n| ------------------ | ----------- | ------------------------------------------------------------------------------------------------------- |\n| `table`            | -           | (required) database table name                                                                          |\n| `pool`             | -           | (required) connection pool from driver                                                                  |\n| `safeMode`         | `true`      | blocks delete-all and reset when true                                                                   |\n| `devMode`          | `false`     | must be `true` to use `export` and `reset`                                                              |\n| `dialect`          | `'mysql'`   | `'mysql'` \\| `'postgresql'` \\| `'sqlite'`                                                               |\n| `encryption`       | -           | global encryption config (`secret`, `iv`, `sha`, `mode`) applied to all queries on this model           |\n| `dbEncryptionMode` | `'unknown'` | when this matches `encryption.mode`, UnSQL skips the internal `SET block_encryption_mode` query (MySQL) |\n\n---\n\n## 3. Built-in Methods\n\nUnSQL provides 06 *static, asynchronous* methods out of the box. Each of these methods helps you to perform different operations\n\n| Method     | Description                                                                     |\n| ---------- | ------------------------------------------------------------------------------- |\n| `find`     | fetch record(s) from database                                                   |\n| `save`     | insert / update / upsert record(s) into database                                |\n| `delete`   | remove / delete record(s) from database                                         |\n| `rawQuery` | write custom SQL (manually), for more freedom                                   |\n| `reset`    | will remove all record(s) and reset *auto increment* column to initial state    |\n| `export`   | can dump record(s) in database to specified `target` (json file or model class) |\n\n---\n\n## 4. Querying\n\n### 4.1 Fetching Records\n\n`find` is a static, asynchronous method that generates a `SELECT` query. It returns `{ success: true, result: [...] }` on success.\n\nThe simplest call fetches all records:\n\n```javascript\nconst response = await User.find()\n\n// SELECT * FROM `users`\n```\n\n#### Filtering with `where`\n\nPass a `where` object to filter results. Keys are column names, values are the conditions to match:\n\n```javascript\nconst response = await User.find({ where: { status: 1, role: '#admin' } })\n\n// SELECT * FROM `users` WHERE `status` = 1 AND `role` = 'admin'\n```\n\n> UnSQL uses `#` as a prefix to pass a **plain text string**. Without `#`, a string is treated as a **column reference**. So `role: '#admin'` → `role = 'admin'`, while `role: 'parentRole'` → `role = parentRole`.\n\nFor `IN` conditions, pass an array:\n\n```javascript\nawait User.find({ where: { department: ['#sales', '#engineering'] } })\n\n// SELECT * FROM `users` WHERE `department` IN ('sales', 'engineering')\n```\n\nFor range and comparison conditions, use [comparator objects](#44-comparator-objects):\n\n```javascript\nawait User.find({\n    where: {\n        age: { ltEq: 65 },\n        joiningDate: { between: { gt: '2024-01-01', lt: 'now' } },\n        name: { startLike: '#John' }\n    }\n})\n\n// SELECT * FROM `users`\n// WHERE `age` <= 65\n// AND `joiningDate` BETWEEN '2024-01-01' AND NOW()\n// AND `name` LIKE CONCAT('John', \"%\")\n```\n\nTo mix `AND` and `OR` logic, use nested `or` / `and` objects:\n\n```javascript\nconst loginId = 'test@unsql.dev'\n\nawait User.find({\n    where: {\n        or: [\n            { email: `#${loginId}` },\n            { mobile: `#${loginId}` }\n        ],\n        status: 1\n    }\n})\n\n// SELECT * FROM `users`\n// WHERE (`email` = 'test@unsql.dev' OR `mobile` = 'test@unsql.dev') AND `status` = 1\n```\n\n#### Selecting Specific Columns\n\nPass a `select` array to restrict which columns are returned:\n\n```javascript\nawait User.find({\n    select: ['userId', 'firstName', 'email'],\n    where: { status: 1 }\n})\n\n// SELECT `userId`, `firstName`, `email` FROM `users` WHERE `status` = 1\n```\n\n#### Sorting\n\nPass an `orderBy` object mapping column names to `'asc'` or `'desc'`:\n\n```javascript\nawait User.find({\n    orderBy: { createdOn: 'desc', firstName: 'asc' }\n})\n\n// SELECT * FROM `users` ORDER BY `createdOn` DESC, `firstName` ASC\n```\n\n> **Please note:** `'asc'` and `'desc'` are in lower case\n\nTo sort by an **expression** - an aggregate, date operation, or subquery - use the `using` array inside `orderBy`:\n\n```javascript\nawait User.find({\n    alias: 'u',\n    select: ['userId', 'firstName'],\n    orderBy: {\n        using: [{\n            refer: {\n                alias: 'w',\n                select: ['points'],\n                table: 'user_wallets',\n                where: { userId: 'u.userId' } // comparing userId in reference table and parent table\n            },\n            order: 'desc'\n        }]\n    }\n})\n\n// SELECT `u`.`userId`, `u`.`firstName` FROM `users` `u`\n// ORDER BY (SELECT `w`.`points` FROM `user_wallets` `w` WHERE `w`.`userId` = `u`.`userId`) DESC\n```\n\n> **Please Note:** To reference any parent table column (having same names) inside any child wrapper (here `refer`) parent alias is required (here `'u.userId'`)\n\nEach entry in `using` supports one expression key - `sum`, `avg`, `count`, `min`, `max`, `date`, or `refer` - alongside `order: 'asc' | 'desc'`.\n\nTo sort by a derived column, prefix the derived column name with `'_'` to make UnSQL identify that column as a *derived column* instead of regular column names in the database table\n\n```javascript\nawait User.find({\n    alias: 'u',\n    select: ['userId', 'firstName', { refer: { table:'user_wallet', alias:'w', select: ['points'], where: { userID : `u.userID` }, as: 'points' } }],\n    orderBy: { _points: 'desc', userId: 'desc' }\n})\n\n// SELECT `u`.`userId`, `u`.`firstName`, (SELECT `w.`points` FROM `user_wallet` `w` WHERE `w`.`userID` = `u`.`userID`) AS 'points' FROM `users` `u`\n// ORDER BY points DESC, `u`.`userID` DESC\n```\n\n> **Please note:** since `points` is a derived column name, we have prefixed it with `'_'` to let UnSQL identify it apart from normal column name\n\n#### Pagination\n\nUse `limit` and `offset` together:\n\n```javascript\nawait User.find({\n    where: { status: 1 },\n    orderBy: { createdOn: 'desc' },\n    limit: 10,\n    offset: 20   // skip first 20, return records 21–30\n})\n\n// SELECT * FROM `users` WHERE `status` = 1 ORDER BY `createdOn` DESC LIMIT 10 OFFSET 20\n```\n\n#### Grouping and Aggregates\n\nUse `groupBy` with aggregate [wrapper objects](#aggregates) in `select` and `having`:\n\n```javascript\nawait User.find({\n    select: [\n        'department',\n        { count: { value: '*', as: 'headCount' } },\n        { avg: { value: 'salary', cast: 'unsigned', as: 'avgSalary' } }\n    ],\n    groupBy: ['department'],\n    having: {\n        avg: { value: 'salary', compare: { gt: 50000 } }\n    },\n    orderBy: {\n        using: [{ count: { value: '*' }, order: 'desc' }]\n    }\n})\n\n// SELECT `department`, COUNT(*) AS 'headCount', CAST(AVG(`salary`) AS UNSIGNED) AS 'avgSalary'\n// FROM `users`\n// GROUP BY `department`\n// HAVING AVG(`salary`) > 50000\n// ORDER BY COUNT(*) DESC\n```\n\n> **Please note:** Similar to `orderBy`, `groupBy` also supports grouping by *derived column names*, we need to prefix the derived column name with `'_'` to let UnSQL identify it apart from the normal column names in the database\n\n#### Joining Tables\n\nPass a `join` array to associate child tables. Each entry needs a `table` and `using` (the join column):\n\n```javascript\n// Simple join - no select/where inside the join object\nawait User.find({\n    alias: 'u',\n    select: ['userId', 'firstName', 'o.orderDate'],\n    join: [{\n        type: 'left', alias: 'o', table: 'orders',\n        using: ['userId']   // array for same column name or object { parentCol: childCol } for different names\n    }]\n})\n\n// SELECT `u`.`userId`, `u`.`firstName`, `o`.`orderDate`\n// FROM `users` `u`\n// LEFT JOIN `orders` `o` USING (`userId`)\n```\n\n> **Please Note:** To refer any column from the child table, prefix it with the child table's alias (here `'o.orderDate'`)\n\nWhen you add `select` or `where` or `having` inside a join object, UnSQL wraps the joined table in a subquery to produce a temporary *Derived Table*, this approach is also called *Pre-aggregated Join*. In such case `as` is required as the subquery alias:\n\n```javascript\n// Subquery join - triggered by select + as inside the join object\nawait User.find({\n    alias: 'u',\n    select: ['userId', 'firstName', 'o.orderId', 'o.amount'],\n    join: [{\n        type: 'left',\n        table: 'orders',\n        alias: 't1',\n        select: ['orderId', 'amount'],\n        where: { status: 1 },\n        using: { userId: 'customerId' }, // assuming orders table stores userId as customerId\n        as: 'o' // required when select or where or having is set\n    }]\n})\n\n// SELECT `u`.`userId`, `u`.`firstName`, `o`.`orderId`, `o`.`amount`\n// FROM `users` `u`\n// LEFT JOIN (SELECT `t1`.`orderId`, `t1`.`amount` FROM `orders` `t1` WHERE `t1`.`status` = 1) AS 'o' ON `u.userId` = `o.customerId`\n```\n\n> **Please note:** \n> - Assuming column names are different, we use `{ parentColumn: childColumn }` approach, doing so we ignore prefixing any column with their respective table alias. \n> - When we use { parentColumn: childColumn } approach, keyword in the generated query changes to `ON` instead of `USING` but the parameter name remains the same (`using`)\n> - When we restrict the columns in the join, only those columns are available for filter or to be referenced outside.\n\nAvailable join types: \n\n- `left`: All records from the parent with only connected records from child\n- `right`: All records from the child and only connected records from parent (not supported by `SQLite`)\n- `inner`: only matching rows based on `using` column(s)\n- `cross`: cartesian product of records in parent and child tables\n- `fullOuter`: All records from both tables, regardless of matching condition (`PostgreSQL` only)\n- `natural`: based on columns with the same name and datatype (automatically detected)\n\n#### Aliases\n\n`alias` gives a table a short reference name, which is automatically prefixed to all columns in that scope:\n\n```javascript\nawait User.find({ alias: 'u' })\n\n// SELECT `u`.* FROM `users` `u`\n```\n\nTo reference a column from a parent scope inside any child scope like `join` or `refer` etc, prefix the alias manually: `'u.userId'`.\n\n#### Decryption\n\nTo decrypt an encrypted column during fetch, use the [`str` wrapper](#string-wrapper) with `decrypt`:\n\n```javascript\nawait User.find({\n    select: [\n        'userId',\n        { str: { value: 'email', decrypt: {}, as: 'email' } }\n    ],\n    encryption: { secret: '#my_secret_value', iv: 'ivColumnName', mode: 'aes-256-cbc' }\n})\n```\n\n#### Debug Mode\n\nPass `debug` to inspect the generated query or benchmark execution:\n\n```javascript\nawait User.find({ where: { userId: 1 }, debug: 'query' })\n\n// ******************************************************************\n//                    UnSQL Debug Query Begins\n// ------------------------------------------------------------------\n// Un-prepared: SELECT ?? FROM ?? WHERE ?? = ?\n// Values:      [ 'userId', 'users', 'userId', 1 ]\n// Prepared:    SELECT `userId` FROM `users` WHERE `userId` = 1\n// ------------------------------------------------------------------\n//                    UnSQL Debug Query Ends\n// ******************************************************************\n```\n\n| `debug` value       | Output                                              |\n| ------------------- | --------------------------------------------------- |\n| `'query'`           | un-prepared query, values, and prepared query       |\n| `'error'`           | full error object on failure                        |\n| `'sandbox'`         | debug generated query without actually executing it |\n| `'benchmark'`       | execution time (includes network round-trip)        |\n| `'benchmark-query'` | query + benchmark combined                          |\n| `'benchmark-error'` | error + benchmark combined                          |\n| `true`              | all of the above                                    |\n| `false`             | (default) disabled                                  |\n\n> **Benchmark note:** The timer measures the full database round-trip. For remote databases, network latency dominates this number.\n\n#### Common Table Expressions (CTE)\n\nCTEs can be used to :\n\n```javascript\nawait User.find({\n    cte: {\n        totalSales: {\n            select:['userId', { sum: { value:'amount', as: 'totalAmount' } }],\n            table: 'sales',\n            groupBy: ['userId']\n        },\n        topPerformers: {\n            select: ['userId'],\n            table: 'totalSales',\n            where: { totalAmount: { gt: 100000 } } // if 'alias' is set in the sub-query, '_' prefix would be required to ignore the current table's alias\n        }\n    },\n    alias: 'u',\n    select: [\n        'userId',\n        'firstName',\n        'ts.totalAmount'\n    ],\n    join: [\n        { type: 'inner', table: 'topPerformers', alias: 'tp', using: { userId :'userId' } },\n        { type: 'inner', table: 'totalSales', alias: 'ts', using: { userId :'userId' } }\n    ]\n})\n\n// WITH `totalSales` AS (SELECT `userId`, SUM(`amount`) AS `totalAmount` FROM `sales` GROUP BY `userId`), \n// `topPerformers` AS (SELECT `userId` FROM `totalSales` WHERE `totalAmount` > 100000)\n// SELECT `u`.`userId`, `u`.`firstName`, `ts`.`totalAmount`\n// FROM `users` `u`\n// INNER JOIN `topPerformers` `tp` ON `tp`.`userId` = `u`.`userId`\n// INNER JOIN `totalSales` `ts` ON `ts`.`userId` = `u`.`userId`\n```\n\n#### `find` - All Options\n\n```javascript\nawait User.find({\n    cte: {},                // common table expressions\n    alias: undefined,       // local reference name for the table\n    select: ['*'],          // columns / expressions to return\n    join: [],               // child table associations\n    where: {},              // filter conditions - use and/or wrappers for mixed logic\n    groupBy: [],            // columns to group by\n    having: {},             // post-group filter (supports aggregates)\n    orderBy: {},            // sort order - columns or using[] for expressions\n    limit: undefined,       // max records to return\n    offset: undefined,      // starting index for pagination\n    encryption: {},         // query-level encryption config (overrides config.encryption)\n    debug: false,           // debug mode\n    session: undefined      // SessionManager instance for transaction control\n})\n```\n\n---\n\n### 4.2 Inserting and Updating Records\n\n`save` is a static, asynchronous method that generates `INSERT`, `UPDATE`, or `INSERT ... ON DUPLICATE KEY UPDATE` queries depending on what parameters are provided.\n\n#### Inserting a Single Record\n\nPass a single object to `data`:\n\n```javascript\nawait User.save({\n    data: { firstName: 'Jane', lastName: 'Doe', email: 'jane@example.com' }\n})\n\n// INSERT INTO `users` (`firstName`, `lastName`, `email`) VALUES ('Jane', 'Doe', 'jane@example.com')\n```\n\n#### Bulk Insert\n\nPass an array of objects. All objects must share the same keys. A single `INSERT` statement is generated for the entire array:\n\n```javascript\nawait User.save({\n    data: [\n        { firstName: 'Jane', lastName: 'Doe' },\n        { firstName: 'John', lastName: 'Smith' },\n        { firstName: 'Jack', lastName: 'Ryan' }\n    ]\n})\n\n// INSERT INTO `users` (`firstName`, `lastName`) VALUES ('Jane', 'Doe'), ('John', 'Smith'), ('Jack', 'Ryan')\n```\n\n#### Updating a Record\n\nAdd a `where` clause to switch to update mode:\n\n```javascript\nawait User.save({\n    data: { firstName: 'Jane', status: 1 },\n    where: { userId: 42 }\n})\n\n// UPDATE `users` SET `firstName` = 'Jane', `status` = 1 WHERE `userId` = 42\n```\n\n#### Upsert\n\nAdd a `upsert` array to handle conflicts. Each entry defines what happens to a column when the record already exists.\n\nA string entry re-inserts the incoming value as-is:\n\n```javascript\nawait User.save({\n    data: { email: 'jane@example.com', firstName: 'Jane', loginCount: 0 },\n    upsert: ['firstName']\n    // indexes: ['email']  ← required for PostgreSQL / SQLite\n})\n\n// INSERT INTO `users` (`email`, `firstName`, `loginCount`)\n// VALUES ('jane@example.com', 'Jane', 0) AS EXCLUDED\n// ON DUPLICATE KEY UPDATE `firstName` = EXCLUDED.`firstName`\n```\n\nAn object entry applies an arithmetic operation on the existing value:\n\n```javascript\nawait User.save({\n    data: { email: 'jane@example.com', firstName: 'Jane', loginCount: 0, score: 0 },\n    upsert: [\n        'firstName',\n        { loginCount: { add: 1 } },         // loginCount = loginCount + 1\n        { score: { add: 10, sub: 2 } }       // score = score + 10 - 2  (chained)\n    ]\n})\n\n// INSERT INTO `users` (`email`, `firstName`, `loginCount`, `score`) VALUES ('jane@example.com', 'Jane', 0, 0) AS EXCLUDED ON DUPLICATE KEY UPDATE\n//   `firstName` = EXCLUDED.`firstName`,\n//   `loginCount` = `users`.`loginCount` + 1,\n//   `score` = `users`.`score` + 10 - 2\n```\n\nSupported operations: `add` (+), `sub` (−), `mul` (×), `div` (÷), `mod` (%), `refer` (subquery).\n\nTo update a column using a value from another table on conflict, use `refer`:\n\n```javascript\nawait User.save({\n    data: { email: 'jane@example.com', wallet: 0 },\n    upsert: [{\n        wallet: {\n            refer: {\n                alias: 'w',\n                select: ['points'],\n                table: 'user_wallets',\n                where: { userId: `${User.config.table}.userId` }\n            }\n        }\n    }]\n})\n\n// ON DUPLICATE KEY UPDATE\n//   `wallet` = (SELECT `w`.`points` FROM `user_wallets` `w` WHERE `w`.`userId` = `users`.`userId`)\n```\n\n#### Encrypting Columns\n\nPass an `encrypt` object where each key is the column to encrypt. Set the value to `{}` to use the global encryption config, or provide per-column overrides:\n\n```javascript\nimport crypto from 'crypto'\n\nconst ivLocal = crypto.randomBytes(16).toString('hex')\n\nawait User.save({\n    data: { email: 'jane@example.com', password: 'secret123', ssn: '123-45-6789', iv: ivLocal  },\n    encrypt: {\n        password: {},                                    // uses config.encryption / encryption param\n        ssn: { secret: '#altSecret', iv: `#${ivLocal}` } // per-column override\n    },\n    encryption: { secret: '#globalSecret', iv: { refer: { table: 'secured_ivs', select:['iv'], alias: 'i', where: { accountType: '#user' } } }, sha: 512, mode: 'aes-256-cbc' }\n})\n\n// INSERT INTO `users` (`email`, `password`, `ssn`)\n// VALUES ('jane@...', AES_ENCRYPT('secret123', 'globalSecret', UNHEX(SHA2((SELECT `i`.`iv` FROM `secured_ivs` `i` WHERE `i`.`accountType` = 'user'), 512))), \n// AES_ENCRYPT('123-45-6789', 'altSecret', UNHEX(SHA2('ivLocal_value...', 512))))\n```\n\n> **Please note:** \n> - Encryption is not supported for `dialect: 'sqlite'`.\n> - Initialization Vector (iv) can either be a valid binary array or a string value (prefixed with `#`) or a column reference (string without `#` prefix) that stores a valid iv\n> - iv can also be referenced from another table (here from `secured_ivs` for global iv)\n\n#### Response Shape\n\n```javascript\n// MySQL\n{ success: true, result: { affectedRows: 1, insertId: 1, changedRows: 0, ... } }\n\n// PostgreSQL\n{ success: true, result: [{...}] }   // affected row returned\n\n// SQLite\n{ success: true, result: { insertId: 1, changes: 1 } }\n```\n\n#### `save` - All Options\n\n```javascript\nawait User.save({\n    cte: {},                // common table expressions\n    alias: undefined,       // local reference name for the table\n    data,                   // (required) object (insert/update/upsert) or array (bulk insert)\n    where: {},              // filter conditions for update mode\n    upsert: [],             // conflict resolution entries - strings or { col: { op } } objects\n    indexes: [],            // conflict target columns - required for PostgreSQL / SQLite upsert\n    encrypt: {},            // column-level encryption - { colName: { secret, iv, sha } | {} }\n    encryption: {},         // query-level encryption config\n    debug: false,           // debug modes\n    session: undefined      // SessionManager instance for transaction control\n})\n```\n\n> **SQLite upsert note:** MySQL and PostgreSQL only update columns listed in `upsert` on conflict. SQLite's `INSERT OR REPLACE` replaces the entire row - columns not listed in `upsert` are set to `null` or their column default.\n\n---\n\n### 4.3 Deleting Records\n\n`delete` generates a `DELETE` query. Pass `where` to target specific records.\n\n```javascript\nawait User.delete({ where: { userId: 42 } })\n\n// DELETE FROM `users` WHERE `userId` = 42\n```\n\n`where` supports the same conditions as `find` - comparators, arrays, nested `or`/`and` for mixed logic:\n\n```javascript\nawait User.delete({\n    where: {\n        department: ['#sales', '#marketing'],\n        joiningDate: {\n            between: {\n                gt: { date: { value: 'now', sub: '6M' } },\n                lt: { date: { value: 'now', sub: '1M' } }\n            }\n        }\n    }\n})\n\n// DELETE FROM `users`\n// WHERE `department` IN ('sales', 'marketing')\n// AND `joiningDate` BETWEEN DATE_SUB(NOW(), INTERVAL 6 MONTH) AND DATE_SUB(NOW(), INTERVAL 1 MONTH)\n```\n\nCalling `delete()` with no arguments deletes all records. This is blocked by default when `safeMode: true` (the default) in `config`. Set `safeMode: false` to allow it.\n\n```javascript\nawait User.delete()   // requires safeMode: false in config\n\n// DELETE FROM `users`\n```\n\n#### `delete` - All Options\n\n```javascript\nawait User.delete({\n    cte: {},                // common table expressions\n    alias: undefined,       // local reference name for the table\n    where: {},              // filter conditions for update mode\n    encryption: {},         // query-level encryption config\n    debug: false,           // debug modes\n    session: undefined      // SessionManager instance for transaction control\n})\n```\n\n---\n\n### 4.4 Raw Queries\n\n`rawQuery` executes any SQL directly using the model's connection pool. It is not tied to the model's table - it gives access to the entire database. Useful for DDL, complex queries that can't be expressed through `built-in methods`, or multi-statement operations.\n\n```javascript\nawait User.rawQuery({\n    sql: 'SELECT * FROM users WHERE userId = ?',\n    values: [42]\n})\n```\nIt supports normal as well as parameterized (with placeholders) queries: \n - In `mysql`: \n   - Positional placeholders: `??`, `?`, \n   - Named placeholders: `:namedVariable`, \n   - user defined variables: `@userVariable`, \n - In `postgresql`: \n   - Positional placeholder: `$1`, `$2`, `$3`...\n - In `sqlite`:\n   - Positional placeholder: `?`,\n   - Named placeholders: `:namedVariable` or `$namedVariable` or `@namedVariable`,\n   - Indexed placeholder: `?1`, `?2`, `?3`...\n\n```javascript\n// MySQL - positional placeholders\nawait User.rawQuery({ sql: 'SELECT * FROM ?? WHERE ?? = ?', values: ['users', 'userId', 42] })\n\n// MySQL - named placeholders\nawait User.rawQuery({ sql: 'SELECT * FROM users WHERE userId = :userId', values: { userId: 42 } })\n\n// PostgreSQL - indexed placeholders\nawait User.rawQuery({ sql: 'SELECT * FROM users WHERE userId = $1', values: [42] })\n\n// SQLite - named or indexed\nawait User.rawQuery({ sql: 'SELECT * FROM users WHERE userId = :userId', values: { userId: 42 } })\n```\n\nFor MySQL, set `multiQuery: true` to execute multiple statements in one call:\n\n```javascript\nawait User.rawQuery({\n    sql: `CREATE TABLE IF NOT EXISTS users (userId INT PRIMARY KEY AUTO_INCREMENT, name VARCHAR(100));\n          CREATE TABLE IF NOT EXISTS orders (orderId INT PRIMARY KEY AUTO_INCREMENT, userId INT);`,\n    multiQuery: true\n})\n```\n\nFor SQLite, set `methodType` explicitly:\n\n| `methodType` | Use case                                                    |\n| ------------ | ----------------------------------------------------------- |\n| `'all'`      | SELECT - returns array of records. Supports Session Manager |\n| `'run'`      | INSERT / UPDATE - returns `insertId` and `changes`          |\n| `'exec'`     | CREATE / DROP / ALTER - returns nothing                     |\n\n---\n\n### 4.5 Exporting Records\n\n`export` fetches records (same as `find`) and writes them either to a `.json` file or bulk-inserts them into another model class. Requires `devMode: true` in `config`. Supports all wrapper objects for operations like encryption/decryption, filters etc. \n\nAcceptable values for `target` (optional property):\n- `string` value for `'file_name'`\n- Valid `UnSQL model class` to export to a model\n\n```javascript\n// Export all records to a .json file (named after the table by default)\nawait User.export()\n\n// → writes to exports_unsql/users.json\n```\n\n```javascript\n// Export selected columns to another model (bulk inserts into that table)\nawait User.export({\n    select: ['firstName', 'lastName', 'email'],\n    target: ArchiveUser // another UnSQL model - must also have devMode: true\n})\n```\n\n```javascript\n// Export with filters, override (or append) if file already exists else create new one\nawait User.export({\n    where: { status: 0 },\n    target: 'inactive_users', // file name - writes to exports_unsql/inactive_users.json\n    mode: 'override' // (optional) 'override' | 'append'\n})\n```\n\nAll `find` parameters (`where`, `select`, `join`, `orderBy`, `limit`, etc.) are supported and work identically.\n\n---\n\n### 4.6 Resetting a Table\n\n`reset` truncates the table and resets auto-increment IDs. Requires `safeMode: false` and `devMode: true` in `config`.\n\n```javascript\nawait User.reset()\n\n// TRUNCATE TABLE `users`\n```\n\n---\n\n## 5. Built-in Constants, Units, Wrapper Objects and Comparator Objects\n\n### 5.1 Constants (Reserved Keywords)\n\nThese strings can be used anywhere a value is expected and map directly to SQL constants:\n\n| Constant           | SQL equivalent                                                |\n| ------------------ | ------------------------------------------------------------- |\n| `now`              | `NOW()` - current date and time                               |\n| `currentTimestamp` | synonym for `now`                                             |\n| `currentDate`      | `CURDATE()` - current date only                               |\n| `currentTime`      | `CURTIME()` - current time only                               |\n| `localTimestamp`   | current timestamp in local timezone                           |\n| `localTime`        | same as `localTimestamp`                                      |\n| `utcTimestamp`     | current timestamp in UTC                                      |\n| `pi`               | `PI()` - approx. `3.141593`                                   |\n| `null`             | `IS NULL`                                                     |\n| `isNull`           | `IS NULL`                                                     |\n| `isNotNull`        | `IS NOT NULL`                                                 |\n| `notNull`          | `IS NOT NULL`                                                 |\n| `jsonArray`        | `JSON_ARRAY()` or `JSON_BUILD_ARRAY()` (**for PostgreSQL**)   |\n| `jsonObject`       | `JSON_OBJECT()` or `JSON_BUILD_OBJECT()` (**for PostgreSQL**) |\n\n```javascript\n// Sample: find users who joined today\nawait User.find({ where: { joiningDate: 'currentDate' } })\n\n// SELECT * FROM `users` WHERE `joiningDate` = CURDATE()\n```\n\n---\n\n### 5.2 Units (Date/Time)\n\nUnSQL provides unified date/time symbols that translate to the correct syntax for each dialect.\n\n**Format symbols** - used in `date.format` and `date.fromPattern`:\n\n| Symbol | Meaning                             | Symbol | Meaning                                  |\n| :----: | ----------------------------------- | :----: | ---------------------------------------- |\n|  `d`   | Day, single digit (1–31)            |  `H`   | Hour 24h, single digit (0–23)            |\n|  `dd`  | Day, double digit (01–31)           |  `HH`  | Hour 24h, double digit (00–23)           |\n|  `D`   | Day with ordinal (1st, 2nd...)      |  `h`   | Hour 12h, single digit (1–12)            |\n|  `dy`  | Abbreviated day name (Sun, Mon...)  |  `hh`  | Hour 12h, double digit (01–12)           |\n|  `Dy`  | Full day name (Sunday, Monday...)   |  `m`   | Minute, single digit                     |\n| `dow`  | Day of week number (0=Sun to 6=Sat) |  `mm`  | Minute, double digit                     |\n| `doy`  | Day of year (001–366)               |  `s`   | Second, single digit                     |\n|  `M`   | Month, single digit (1–12)          |  `ss`  | Second, double digit                     |\n|  `MM`  | Month, double digit (01–12)         |  `ms`  | Microseconds                             |\n| `Mon`  | Abbreviated month (Jan, Feb...)     |  `a`   | am/pm                                    |\n| `MON`  | Full month name (January...)        |  `A`   | AM/PM                                    |\n|  `y`   | Year, two digits (24, 25)           |  `w`   | Week number (00–53)                      |\n|  `Y`   | Year, four digits (2024, 2025)      |  `q`   | Quarter (1–4) - MySQL/SQLite unsupported |\n\n> Wrap literal text in square brackets inside `format` strings: `'[Joined on] dd MON Y'`\n> `fromPattern` is not supported by SQLite.\n\n**Date arithmetic units** - used in `date.add` and `date.sub`:\n\n| Symbol | Unit                 |\n| :----: | -------------------- |\n|  `f`   | Microsecond          |\n|  `s`   | Second               |\n|  `m`   | Minute               |\n|  `h`   | Hour                 |\n|  `d`   | Day                  |\n|  `w`   | Week (not SQLite)    |\n|  `M`   | Month                |\n|  `q`   | Quarter (not SQLite) |\n|  `y`   | Year                 |\n\nUnits can be combined: `'2y 3M 10d'`\n\n---\n\n### 5.3 Wrapper Objects\n\nUnSQL provides special *JSON structures* as **Wrapper objects** that generate SQL expressions at the position they are placed. They work inside `select`, `where`, `having`, `orderBy.using`, and can be nested.\n\n|             Keyword             | Wrapper Type | Description                                                                               |\n| :-----------------------------: | :----------: | ----------------------------------------------------------------------------------------- |\n|    [`str`](#string-wrapper)     |    string    | performs string value related operations                                                  |\n|    [`num`](#numeric-wrapper)    |   numeric    | performs numeric value related operations                                                 |\n|     [`date`](#date-wrapper)     |     date     | performs date value related operations                                                    |\n|    [`and`](#and-or-wrapper)     |   junction   | performs junction override inside the `where` and `having`                                |\n|     [`or`](#and-or-wrapper)     |   junction   | performs junction override inside the `where` and `having`                                |\n|       [`if`](#if-wrapper)       | conditional  | checks **condition** and returns respective value (used with `select`, `where`, `having`) |\n|     [`case`](#case-wrapper)     | conditional  | checks **condition** and returns respective value (used with `select`, `where`, `having`) |\n| [`coalesce`](#coalesce-wrapper) | conditional  | returns the first non-null value from provided values                                     |\n|   [`sum`](#aggregate-wrapper)   |  aggregate   | calculates 'total' from set of values                                                     |\n|   [`avg`](#aggregate-wrapper)   |  aggregate   | calculates 'average' from set of values                                                   |\n|  [`count`](#aggregate-wrapper)  |  aggregate   | performs 'count' operation on set of values                                               |\n|   [`min`](#aggregate-wrapper)   |  aggregate   | determines 'lowest' value among the provided values                                       |\n|   [`max`](#aggregate-wrapper)   |  aggregate   | determines 'highest' value among the provided values                                      |\n|    [`lead`](#offset-wrapper)    |    offset    | Accesses data from a subsequent row at a specified physical offset from the current row   |\n|    [`lag`](#offset-wrapper)     |    offset    | Accesses data from a previous row at a specified physical offset from the current row     |\n|     [`rank`](#rank-wrapper)     |     rank     | Assigns a rank to each row with gaps in the sequence for tied values                      |\n|  [`denseRank`](#rank-wrapper)   |     rank     | Assigns a rank to each row without gaps in the sequence for tied values                   |\n| [`percentRank`](#rank-wrapper)  |     rank     | Calculates the relative rank of a row as a percentage (0 to 1)                            |\n|    [`rowNum`](#rank-wrapper)    |     rank     | Assigns a unique sequential number to each row within a partition                         |\n|    [`nTile`](#rank-wrapper)     |     rank     | Distributes rows into a specified number of approximately equal groups (buckets)          |\n| [`firstValue`](#value-wrapper)  |    value     | Returns the first value in an ordered set of values (within a window frame)               |\n|  [`lastValue`](#value-wrapper)  |    value     | Returns the last value in an ordered set of values (within a window frame)                |\n|  [`nthValue`](#value-wrapper)   |    value     | Returns the value of the argument at the N-th row of the window frame                     |\n|     [`json`](#json-wrapper)     |  sub-query   | creates a json object/array of object(s) at the position it is invoked                    |\n|    [`refer`](#refer-wrapper)    |  sub-query   | fetch a column from another table at the position it is invoked                           |\n|   [`concat`](#concat-wrapper)   |    merge     | merges multiple column/string values into single string                                   |\n\n---\n\n- #### String Wrapper <span id=\"string-wrapper\">(`str`)</span>\n\n    Performs string operations on `value`. Generates `UPPER()`, `LOWER()`, `SUBSTR()`, `TRIM()`, `LPAD()`, `RPAD()`, `REVERSE()`, `REPLACE()`, `CAST()`, and `AES_DECRYPT()` as needed.\n\n    ```javascript\n    // Uppercase a column\n    await User.find({\n        select: [{ str: { value: 'firstName', textCase: 'upper', as: 'name' } }]\n    })\n    // SELECT UPPER(`firstName`) AS 'name' FROM `users`\n\n    // Extract a substring\n    await User.find({\n        select: [{ str: { value: 'bio', substr: { start: 1, length: 100 }, as: 'shortBio' } }]\n    })\n    // SELECT SUBSTR(`bio`, 1, 100) AS 'shortBio' FROM `users`\n\n    // Decrypt an encrypted column\n    await User.find({\n        select: [{\n            str: { value: 'email', decrypt: { secret: 'mySecretColumn', iv: 'ivColumn' }, as: 'email' }\n        }],\n        encryption: { mode: 'aes-256-cbc' }\n    })\n    ```\n\n    All `str` options:\n\n    | Option     | Description                                                                                                                                                                                |\n    | ---------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ |\n    | `value`    | column name or string to operate on                                                                                                                                                        |\n    | `replace`  | `{ target, replaceWith }` - always plain text, no `#` prefix needed                                                                                                                        |\n    | `reverse`  | reverse character order (not SQLite)                                                                                                                                                       |\n    | `textCase` | `'upper'` \\| `'lower'`                                                                                                                                                                     |\n    | `padding`  | `{ left: { length, pattern }, right: { length, pattern } }` (not SQLite)                                                                                                                   |\n    | `substr`   | `{ start, length }`                                                                                                                                                                        |\n    | `trim`     | `true` \\| `'left'` \\| `'right'`                                                                                                                                                            |\n    | `ifNull`   | provide a fallback (default) value in case the `value` gets null value from database                                                                                                       |\n    | `cast`     | MySQL: `'char'`,`'signed'`,`'unsigned'`,`'decimal'`,`'binary'`,`'date'`,`'dateTime'` / PG: `'integer'`,`'text'`,`'timestamp'`,`'numeric'` / SQLite: `'integer'`,`'text'`,`'real'`,`'blob'` |\n    | `decrypt`  | `{ secret, iv, sha }` - overrides all other encryption config for this column                                                                                                              |\n    | `encoding` | MySQL only - character set for decrypted output. Default `'utf8mb4'`                                                                                                                       |\n    | `as`       | output alias                                                                                                                                                                               |\n    | `compare`  | comparator conditions on the returned value                                                                                                                                                |\n\n---\n\n- #### Numeric Wrapper <span id=\"numeric-wrapper\">(`num`)</span>\n\n    Performs mathematical operations on `value`. Follows BODMAS order.\n\n    ```javascript\n    await Specs.find({\n        select: [{\n            num: { value: 'calories', multiplyBy: 100, divideBy: 'quantity', decimals: 2, ifNull: 0, as: 'unitCalories' }\n        }]\n    })\n    // SELECT COALESCE(FORMAT(((`calories`/ `quantity`) * 100), 2), 0) AS 'unitCalories' FROM `specs`\n    ```\n\n    | Option       | Description                                                                               |\n    | ------------ | ----------------------------------------------------------------------------------------- |\n    | `value`      | column name or number                                                                     |\n    | `add`        | add to value                                                                              |\n    | `sub`        | subtract from value                                                                       |\n    | `multiplyBy` | multiply value                                                                            |\n    | `divideBy`   | divide value                                                                              |\n    | `mod`        | modulus                                                                                   |\n    | `power`      | raise to power                                                                            |\n    | `decimals`   | decimal places (integer) \\| `'floor'` \\| `'ceil'` \\| `'round'`                            |\n    | `ifNull`     | provide a fallback (default) value in case the `value` gets null value from database      |\n    | `cast`       | same options as `str.cast` with additional casting option `decimal: { precision, scale }` |\n    | `decrypt`    | same as `str.decrypt`                                                                     |\n    | `as`         | output alias                                                                              |\n    | `compare`    | comparator conditions on the returned value                                               |\n\n---\n\n- #### Date Wrapper <span id=\"date-wrapper\">(`date`)</span>\n\n    Performs date/time operations on `value`.\n\n    ```javascript\n    // Add 6 months and format\n    await User.find({\n        select: [{\n            date: { value: 'joiningDate', add: '6M', format: 'dd MON Y', as: 'probationEnd' }\n        }]\n    })\n    // SELECT DATE_FORMAT(DATE_ADD(`joiningDate`, INTERVAL 6 MONTH), '%d %b %Y') AS 'probationEnd'\n\n    // Filter by relative date range\n    await User.find({\n        where: {\n            createdOn: {\n                between: {\n                    gt: { date: { value: 'now', sub: '30d' } },\n                    lt: 'now'\n                }\n            }\n        }\n    })\n    // WHERE `createdOn` BETWEEN DATE_SUB(NOW(), INTERVAL 30 DAY) AND NOW()\n    ```\n\n    | Option        | Description                                                                          |\n    | ------------- | ------------------------------------------------------------------------------------ |\n    | `value`       | column name, date string, or `'now'`                                                 |\n    | `add`         | amount to add - e.g. `'6M'`, `'2d 5h'`, or number (days)                             |\n    | `sub`         | amount to subtract                                                                   |\n    | `format`      | output format using [date symbols](#42-units-datetime). Wrap literal text in `[]`    |\n    | `fromPattern` | parse a date string using this pattern (not supported by SQLite)                     |\n    | `ifNull`      | provide a fallback (default) value in case the `value` gets null value from database |\n    | `cast`        | same options as `str.cast`                                                           |\n    | `decrypt`     | same as `str.decrypt`                                                                |\n    | `as`          | output alias                                                                         |\n    | `compare`     | comparator conditions on the returned value                                          |\n\n---\n\n- #### And / Or Wrappers <span id=\"and-or-wrapper\">(`and`, `or`)</span>\n\n    `and` and `or` wrappers give you explicit control over how conditions are joined inside `where` and `having`. By default all conditions in a `where` block are joined with `AND` - wrapping a group in `or` switches just that group to `OR`, and they can be nested for complex logic.\n\n    ```javascript\n    await User.find({\n        where: {\n            or: [\n                { salary: { between: { gt: 5000, lt: 15000 } } },\n                { role: '#intern' }\n            ],\n            status: 1\n        }\n    })\n    // WHERE ((`salary` BETWEEN 5000 AND 15000) OR `role` = 'intern') AND `status` = 1\n    ```\n\n    Nesting works in both directions:\n\n    ```javascript\n    await User.find({\n        where: {\n            and: [\n                { or: [{ department: '#sales' }, { department: '#marketing' }] },\n                { or: [{ status: 1 }, { status: 2 }] }\n            ]\n        }\n    })\n    // SELECT * FROM USERS WHERE ((`department` = 'sales' OR `department` = 'marketing')\n    // AND (`status` = 1 OR `status` = 2))\n    ```\n\n    > `and` / `or` wrappers can be nested as and when required.\n\n---\n\n- #### <s>If Wrapper</s> <span id=\"if-wrapper\">(`if`)</span>\n\n    Generates `IF(condition, trueValue, falseValue)` in MySQL, `CASE WHEN` in PostgreSQL/SQLite.\n\n    ```javascript\n    await User.find({\n        select: [{\n            if: { check: { experience: { lt: 1 } }, trueValue: '#Fresher', falseValue: '#Experienced', as: 'level' }\n        }]\n    })\n    // SELECT IF(`experience` < 1, 'Fresher', 'Experienced') AS 'level' FROM `users`\n    ```\n\n---\n\n- #### Case Wrapper <span id=\"case-wrapper\">(`case`)</span>\n\n   Generates `CASE WHEN ... THEN ... ELSE ... END`. Evaluates conditions in order and returns the first matching value.\n\n\n    ```javascript\n    await User.find({\n        select: [{\n            case: {\n                check: [\n                    { when: { experience: { lt: 2 } }, then: '#Fresher' },\n                    { when: { experience: { between: { gt: 2, lt: 5 } } }, then: '#Mid-level' }\n                ],\n                else: '#Senior',\n                as: 'level'\n            }\n        }]\n    })\n    // SELECT CASE WHEN `experience` < 2 THEN 'Fresher'\n    //             WHEN `experience` BETWEEN 2 AND 5 THEN 'Mid-level'\n    //             ELSE 'Senior' END AS 'level'\n    // FROM `users`\n    ```\n---\n   \n\n- #### Coalesce Wrapper <span id=\"coalesce-wrapper\">(`coalesce`)</span>\n\n Generates `COALESCE(value 1, value 2, value 3, ...)`. Evaluates conditions in order and returns the first matching value.\n   \n```javascript\nawait User.find({\n    select: ['firstName', 'lastName', {\n        coalesce: {\n            value: ['mobile', '#no contact provided'],\n            as: 'points'\n        }\n    }]\n})\n// SELECT `firstName`, `lastName`, COALESCE(`mobile`, 'no contact provided') AS 'points' FROM `users`\n```\n\n--- \n\n\n- #### Aggregate Wrappers <span id=\"aggregate-wrapper\">(`sum`, `avg`, `count`, `min`, `max`)</span>\n\nAll five share the same interface. Used with `groupBy` / `having`, and in `orderBy.using`. They also support the `over` property to perform Window (Analytical) functions.\n\n```javascript\nawait User.find({\n    select: [\n        'department',\n        { sum:   { value: 'salary', ifNull: 0, as: 'totalSalary' } },\n        { avg:   { value: 'salary', cast: 'unsigned', as: 'avgSalary' } },\n        { count: { value: '*', distinct: true, as: 'headCount' } },\n        { min:   { value: 'salary', as: 'lowestSalary' } },\n        { max:   { value: 'salary', as: 'highestSalary' } }\n    ],\n    groupBy: ['department'],\n    having: { avg: { value: 'salary', compare: { gt: 50000 } } }\n})\n// SELECT `department`,\n//   COALESCE(SUM(`salary`), 0) AS 'totalSalary',\n//   CAST(AVG(`salary`) AS UNSIGNED) AS 'avgSalary',\n//   COUNT(DISTINCT *) AS 'headCount',\n//   MIN(`salary`) AS 'lowestSalary',\n//   MAX(`salary`) AS 'highestSalary'\n// FROM `users`\n// GROUP BY `department`\n// HAVING AVG(`salary`) > 50000\n```\n\n| Option     | Description                                              |\n| ---------- | -------------------------------------------------------- |\n| `value`    | column name or conditional object                        |\n| `distinct` | ignore duplicate values when `true`                      |\n| `over`     | [Window Options](#window-options) for analytical queries |\n| `ifNull`   | fallback value if result is null                         |\n| `cast`     | same options as `str.cast`                               |\n| `as`       | output alias                                             |\n| `compare`  | comparator conditions on the returned value              |\n\n---\n\n- #### Offset Wrappers <span id=\"offset-wrapper\">(`lead`, `lag`)</span>\n\n`lead` and `lag` wrappers can be used to generate allowing you to peek forward or look back at values in neighboring rows within the same result set without using join or sub-queries.\n\n```javascript\n// 1. without any optional parameters\nawait User2.find({\n    select: ['userId', 'w.points',\n        { lead: { value: 'w.points', as: 'leading' } }\n    ], join: [{ table: 'user_wallet', alias: 'w', using: ['userId'] }], limit: 10\n})\n\n// SELECT `userId`, `w`.`points`, LEAD(`w`.`points`) OVER () AS 'leading' FROM `nitecapp_users` JOIN `nitecapp_user_wallets` `w` USING (`userID`) LIMIT 10\n\n\n// 2. with optional parameters\nawait User2.find({\n    select: ['userId', 'w.points',\n        { lead: { value: 'w.points', offset: 1, defaultValue: 0, as: 'leading' } }\n    ], join: [{ table: 'user_wallet', alias: 'w', using: ['userId'] }], limit: 10\n})\n\n// SELECT `userId`, `w`.`points`, LEAD(`w`.`points`, 1, 0) OVER () AS 'leading' FROM `nitecapp_users` JOIN `nitecapp_user_wallets` `w` USING (`userID`) LIMIT 10\n\n// 3. with ordering\n\nawait User2.find({\nselect: [\n    'userId',\n    'w.points',\n    { lag: { value: 'w.points', over: { orderBy: { 'w.points': 'desc' } }, as: 'prev_points' } }\n],\njoin: [{ table: 'user_wallet', alias: 'w', using: ['userId'] }]\n})\n\n// SELECT `userId`, `w`.`points`, LAG(`w`.`points`) OVER (ORDER BY `w`.`points` DESC) AS 'prev_points' FROM `users` JOIN `user_wallets` `w` USING (`userId`)\n```\n\n- #### Rank Wrappers <span id=\"rank-wrapper\">(`rank`, `denseRank`, `percentRank`, `rowNum`, `nTile`)</span>\n\n`rank`, `denseRank`, `percentRank`, `rowNum`, `nTile` wrappers can be used to generate ranking window query to access data from other rows relative to the current row without using join or sub-queries.\n\n```javascript\n    await User2.find({\n    select: ['userId', 'w.points',\n        { rank: { over: { orderBy: { 'w.points': 'desc' } }, as: 'ranking' } }\n    ], join: [{ table: 'user_wallet', alias: 'w', using: ['userId'] }], limit: 10\n})\n\n// SELECT `userId`, `w`.`points`, RANK() OVER (ORDER BY `w`.`points` DESC) AS 'ranking' FROM `users` JOIN `user_wallets` `w` USING (`userId`) LIMIT 10\n```\n\n- #### Value Wrappers <span id=\"value-wrapper\">(`firstValue`, `lastValue`, `nthValue`)</span>\n\n`firstValue`, `lastValue`, `nthValue` wrappers can be used to retrieve a specific column value from a defined set of rows (the window frame) relative to the current row.\n\n```javascript\n    await User2.find({\n    select: ['userId', 'w.points',\n        { firstValue: { value:'w.points', over: { orderBy: { 'w.points': 'desc' } }, as: 'highestPoints' } }\n    ], join: [{ table: 'user_wallet', alias: 'w', using: ['userId'] }], limit: 10\n})\n\n// SELECT `userId`, `w`.`points`, FIRST_VALUE(`w`.`points`) OVER (ORDER BY `w`.`points` DESC) AS 'first' FROM `users` JOIN `user_wallets` `w` USING (`userId`) LIMIT 10\n```\n\n- #### Window Options <span id=\"window-options\">(`over`)</span>\n\nThe `over` property, available inside all **Aggregate Wrappers**, **Offset Wrappers**, **Rank Wrappers** and **Value Rappers**, transforms them into a Window Function. It defines the *partitioning*, *ordering*, and *framing* of the operation via. `partitionBy`, `orderBy` and `frame` properties respectively.\n\n```javascript\nawait User.find({\n    select: [\n        'department',\n        'salary',\n        { \n            sum: { \n                value: 'salary', \n                over: { \n                    partitionBy: ['department'], \n                    orderBy: { salary: 'desc' },\n                    frame: { unit: 'rows', start: 'unboundedPreceding', end: 'currentRow' }\n                }, \n                as: 'runningTotal' \n            } \n        }\n    ]\n})\n\n// SELECT `department`, `salary`, SUM(`salary`) OVER (PARTITION BY `department` ORDER BY `salary` DESC ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW) AS 'runningTotal' FROM `users`\n\n```\n\n| Option        | Description                                                                       |\n| :------------ | :-------------------------------------------------------------------------------- |\n| `partitionBy` | Array of column names to group the window.                                        |\n| `orderBy`     | Object mapping columns to `'asc'` or `'desc'` to define the window sort order.    |\n| `frame`       | Object defining the subset of rows (`unit`, `start`, `end`) within the partition. |\n\n**Frame Unit (`unit`):** `'rows'` (default), `'range'`, or `'groups'`.\n\n**Frame Bounds (`start` / `end`):**\n- **Keywords:** `'unboundedPreceding'`, `'currentRow'`, `'unboundedFollowing'`.\n- **Offsets:** `{ preceding: n }` or `{ following: n }`.\n\n- #### Json Wrapper <span id=\"json-wrapper\">(`json`)</span>\n\nCreates or extracts JSON objects/arrays. Supports inline values, arrays, column references, and full sub-query properties.\n\n```javascript\n// Create a JSON object from a sub-query (one per user, aggregated into array)\nawait Order.find({\n    alias: 'p',\n    select: ['orderId', 'amount', 'createdOn', 'itemsLink', 'itemsLink.items'],\n    join: [\n        { \n            type: 'left', table: 'order_items', alias: 'oi', using: { orderId: 'orderId' },\n            select: ['orderId', { json: { value: { itemName: 'itemName', quantity: 'quantity', price: 'price' }, aggregate: true, as: 'items' } }]\n            as: 'itemsLink'\n        }\n    ],\n    debug: 'query'\n})\n\n// Extract a value from a JSON column\nawait User.find({\n    select: [{ json: { value: 'address', extract: 'permanent.city', as: 'city' } }]\n})\n```\n\n| Option            | Description                                                                                  |\n| ----------------- | -------------------------------------------------------------------------------------------- |\n| `value`           | `{}` → JSON object, string → column containing JSON                                          |\n| `table`           | sub-query source table                                                                       |\n| `extract`         | path to extract from JSON (e.g. `'address.city'` or index `0`)                               |\n| `contains`        | check if JSON contains this value                                                            |\n| `aggregate`       | when `true`, encapsulates multiple values returned by this wrapper into a unified array      |\n| `ifNull`          | sets a fallback value                                                                        |\n| `as`              | output alias                                                                                 |\n| Sub-query options | `alias`, `join`, `where`, `groupBy`, `having`, `orderBy`, `limit`, `offset` - same as `find` |\n\n---\n\n- #### Refer Wrapper <span id=\"refer-wrapper\">(`refer`)</span>\n\nGenerates a correlated subquery that fetches a single value from another table. Works in `select`, `where`, `having`, and `orderBy.using`.\n\n```javascript\n// Fetch department name alongside each user\nawait User.find({\n    alias: 'u',\n    select: [\n        'u.userId', 'u.firstName',\n        {\n            refer: {\n                alias: 'd',\n                select: ['name'],\n                table: 'departments',\n                where: { deptId: 'u.departmentId' }\n            }\n        }\n    ]\n})\n// SELECT `u`.`userId`, `u`.`firstName`,\n//   (SELECT `d`.`name` FROM `departments` `d` WHERE `d`.`deptId` = `u`.`departmentId`)\n// FROM `users` `u`\n```\n\n| Option      | Description                                                                                                              |\n| ----------- | ---------------------------------------","readmeFilename":"readme.md"}