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dakota-cassandra\n\nA full feature Apache Cassandra ORM built on top of datastax/nodejs-driver\n\n## Installation\n\n```bash\n$ npm install dakota-cassandra\n```\n\n## Stability\n\nDakota was written over a weekend (8/28/2015 - 8/31/2015) by Alexander Wong out of Boost VC in San Mateo, CA, USA to address the lack of a full featured NodeJS compatible Cassandra ORM. It is currently still a work in progress and will be refined in the coming weeks. Please check back often for updates and bug fixes.\n\n## Basic Usage Example\n\n```javascript\nvar Dakota = require('dakota-cassandra');\nvar dakota = new Dakota(options);\nvar User = dakota.addModel('User', schema, validations);\nvar user = new User({ name: 'Alex' });\nuser.save(function(err) { ... });\nUser.where({ name: 'Alex' }).first(function(err, user) { ... });\n```\n\n## Features\n\n - Solid foundation\n - Written on top of datastax/nodejs-driver (official Cassandra JavaScript driver)\n - Based off of Mongoid and Mongoose design and usability patterns\n - Chainable query building interface and full support for CQL\n - Build queries by chaining methods like `.select`, `.where`, `.limit`, `.all`, and `.first`\n - Complete access to CQL queries through query builder\n - compiles `SELECT` queries with selective columns, `FROM`, `WHERE`, `ORDER BY`, `LIMIT`, and `ALLOW FILTERING` support\n - compiles `UPDATE` queries with `USING`, `SET`, `WHERE`, `IF`, and `IF EXISTS` support\n - compiles `INSERT` queries with `INTO`, `IF NOT EXISTS`, and `USING` support\n - compiles `DELETE` queries with `FROM`, `USING`, `WHERE`, `IF`, and `IF EXISTS` support\n - compiles `TRUNCATE` queries\n - compiles `prepared statements` in all cases\n - support for `eachRow` and `stream` to process large data sets\n - all queries are buffered until a successful connection is established\n - Full support for Cassandra types\n - All basic types (`ascii`, `bigint`, `blob`, `boolean`, `decimal`, `double`, `float`, `inet`, `int`, `text`, `timestamp`, `timeuuid`, `uuid`, `varchar`, `varint`)\n - All collection types (`list`, `set`, `map`)\n - Support for `user defined types`, `counters`, `tuples`, and `frozen` fields\n - Schema validation, and sanitization backed models\n - Define custom setters, getters, instance, and static methods\n - Callback / filter chains on `afterNew`, `beforeCreate`, `afterCreate`, `beforeValidate`, `afterValidate`, `beforeSave`, `afterSave`, `beforeDelete`, `afterDelete`\n - Define custom sanitizers and validators for fields\n - 'Recipes' for common and chainable validation and sanitization tasks\n - ... examples include: `minLength`, `maxLength`, `required`, `email`, and more ...\n - User definable validation messages that can be output to user\n - Set column values with pre-generated setters and getters\n - `Append`, `prepend`, `add`, `remove`, `increment`, `decrement`, and `inject` convenience methods for working with collection types\n - Changed column tracking\n - Only updates or inserts changed fields\n - Automatically combines multiple `append`, `prepend`, `add`, `remove`, `increment`, `decrement`, `inject` actions if they are additive or composes a single `set` action\n - Automatic `keyspace`, `table`, and `user defined type` schema rectification (configurable)\n - Detects and alerts on differences between schemas and structures\n - Automatically creates structures, adds columns, removes columns, or changes types and replication settings (configurable)\n - Keyspaces have options for `ensure exists`, and `alter` (to alter `replication` and `durableWrites`)\n - Tables have options for `ensure exists`, `recreate`, `recreateColumn`, `removeExtra`, `addMissing`\n - User defined types have options for `ensure exists`, `recreate`, `changeType`, `addMissing`\n\n## Missing But Coming\n\n - Indexes on tables\n\n## Connection and Options\n\n#### Minimal Options\n\n```javascript\nvar options = {\n connection: {\n contactPoints: [\n '127.0.0.1'\n ],\n keyspace: 'dakota_test'\n },\n keyspace: {\n replication: { 'class': 'SimpleStrategy', 'replication_factor': 1 },\n durableWrites: true\n }\n};\nvar dakota = new Dakota(options);\n```\n - `options.connection` is passed directly to the datastax/nodejs-driver `Client` object; you can specify additional fields here as necessary\n - `options.keyspace` is used to configure your app's keyspace\n - If a keyspace with the name in `options.connection.keyspace` doesn't exist, it is automatically created. If it does exist, its schema is compared against the options here (see below for automatic discrepancy resolution).\n\n#### Full Options (Library Defaults)\n\n```javascript\nvar nm_ = require('underscore');\nvar nm_i = require('underscore.inflections');\nvar nm_s = require('underscore.string');\n\nvar defaultOptions = {\n \n // connection\n connection: {\n contactPoints: [\n '127.0.0.1'\n ],\n keyspace: 'dakota_test'\n },\n \n // keyspace\n keyspace: {\n replication: { 'class': 'SimpleStrategy', 'replication_factor': 1 },\n durableWrites: true,\n ensureExists: {\n run: true, // check if keyspace exists and automaticcaly create it if it doesn't\n alter: false // alter existing keyspace to match replication or durableWrites\n }\n },\n \n // logger\n logger: {\n level: 'debug', // log this level and higher [debug < info < warn < error]\n queries: true // log queries\n },\n \n // model\n model: {\n tableName: function(modelName) {\n return nm_i.pluralize(nm_s.underscored(modelName));\n },\n getterSetterName: function(columnName) {\n return columnName.trim().replace(/\\s/g, '_');\n },\n validatorSanitizerName: function(operation, columnName) {\n var name = nm_s.capitalize(columnName.trim().replace(/\\s/g, '_'));\n return operation + name;\n },\n typeSpecificSetterName: function(operation, columnName) {\n var name = nm_s.capitalize(columnName.trim().replace(/\\s/g, '_'));\n if (operation == 'increment' || operation == 'decrement') {\n return operation + name;\n }\n else {\n return operation + nm_i.singularize(name);\n }\n },\n table: {\n ensureExists: {\n run: true, // check if keyspace exists and automaticcaly create it if it doesn't\n recreate: false, // drop and recreate table on schema mismatch, takes precedence over following options\n recreateColumn: false, // recreate columns where types don't match schema\n removeExtra: false, // remove extra columns not in schema\n addMissing: false // add columns in schema that aren't in table\n }\n }\n },\n \n // user defined type\n userDefinedType: {\n ensureExists: {\n run: true,\n recreate: false, // drop and recreate type on schema mismatch, takes precedence over following options\n changeType: false, // change field types to match schema\n addMissing: false // add fields in schema that aren't in type\n }\n }\n \n};\n```\n - `keyspace.ensureExists` dictates the keyspace discrepancy rectification policy\n - `run` - check existence of keyspace, create if missing, and compare schema?\n - `alter` - alter keyspace to match `replication` and `durableWrites` options\n - `logger` determines behavior of built in logger\n - `level` - can be set to 'debug', 'info', 'warn', or 'error' to only display log messages above the specified level\n - `queries` - log compiled query statements and params?\n - `model` dictates table discrepancy handling and general setup\n - `tableName` - function used to convert from model name to table name\n - by default, a model named 'UserByEmail' will create a table named 'user_by_emails'\n - `getterSetterName` - function used to name getters and setters for columns\n - by default, a column named 'email_addresses' will create `.email_addresses` and `.email_addresses =` methods\n - `validatorSanitizerName` - function used to name validators and sanitizers for columns\n - by default, a column named 'email' will create `.validateEmail`, `.sanitizeEmail`, and `.validateSanitizedEmail` methods\n - `typeSpecificSetterName` - function used to name getters and setters specific to certain types\n - by default, a column named 'friend_uuids' of type list will create `.appendFriend_uuid`, `.prependFriend_uuid`, `.removeFriend_uuid`, and `.injectFriend_uuid` methods\n - the `operation` argument in this function is passed strings like 'append', 'prepend', etc...\n - `table.ensureExists` specifies the table discrepancy rectification policy\n - `run` - check existence of table, create if missing, and compare schema?\n - `recreate` - drop and recreate table on discrepancy\n - `recreateColumn` - drop and recreate column on type mismatch\n - `removeExtra` - drop columns not in schema\n - `addExtra` - add columns that are defined in the schema but don't exist in the table\n - `userDefinedType.ensureExists` ditactes the UDT discrepancy rectification policy\n - `run` - check existence of UDT, create if missing, and compare schema?\n - `recreate` - drop and recreate UDT on discrepancy\n - `changeType` - attempt to change type on field if type mismatches schema\n - `addMissing` - add fields that are defined in the schema but don't exist in UDT\n\n## Models\n\n```javascript\nvar User = dakota.addModel('User', require('./user.schema'), require('./user.validations'), options);\n```\n - Models are created via the `.addModel` method on `Dakota` instances. When they're added, they're immediately validated and compared against existing tables (see options on configuring `ensureExists` above).\n - The first argument specifies the name of the model; the second is an `Object` containing the model's schema; the third is an `Object` containing sanitizations and validations (`null` can be passed if no validations are necessary); the last is an options `Object` which can be used to override `options.model` passed in to the `new Dakota(options)` constructor.\n## Schema\n```javascript\nvar Dakota = require('dakota-cassandra');\nvar schema = {\n \n // columns\n columns: {\n \n // timestamps\n ctime: 'timestamp',\n utime: 'timestamp',\n \n // data\n id: 'uuid',\n name: 'text',\n email: {\n alias: 'emailAddress',\n type: 'text',\n set: function(value) { return value.toLowerCase(); },\n get: function(value) { return value.toUpperCase(); }\n },\n ip: 'inet',\n age: 'int',\n \n // collections\n friends: 'set',\n tags: 'list',\n browsers: 'map',\n craziness: 'list>>'\n \n },\n \n // key\n key: [['email', 'name'], 'id'], // excuse the contrived example\n \n // callbacks\n callbacks: {\n \n // new\n afterNew: [\n function() { console.log('after new callback'); }\n ],\n \n // create\n beforeCreate: [\n Dakota.Recipes.Callbacks.setTimestampToNow('ctime')\n ],\n afterCreate: [],\n \n // validate\n beforeValidate: [],\n afterValidate: [],\n \n // save\n beforeSave: [\n Dakota.Recipes.Callbacks.setTimestampToNow('utime')\n ],\n afterSave: [],\n \n // delete\n beforeDelete: [],\n afterDelete: []\n },\n \n // methods\n method: {\n greet: function () { console.log('Hello, my name is ' + this.name + '.'); };\n },\n \n // static methods: {\n plusPlusAge: function () {\n User.eachRow(function(n, user) {\n user.age += 1;\n user.save(function(err) { ... });\n }, function(err) {\n console.log('All users .age++ complete!');\n });\n }\n }\n};\n```\n - `schema.columns` defines your model's fields and corresponding types\n - an `Object` can be set per field for additional configuration (see `email` above)\n - `alias` specifies the name to use for auto generated methods and arguments to those methods\n - because column names are stored in each record in Cassandra, it is sometimes desirable to have a more user friendly name\n - ... for instance: `fids: { alias: 'FriendIDs', type: set }` will create `.friendIDs`, `.friendIDs =`, `.addFriendID`, ... methods\n - aliases are also support mass assignment, for instance: `new User({ FriendIDs: [...], ... })` and `user.set({ FriendIDs: [...], ... })`\n - `type` specifies the type of the field\n - `set` and `get` will be invoked when setting or getting the column value\n - *NOTICE* they both `return` the value\n - `schema.key` defines the model's primary key\n - composite keys should be grouped in a nested array\n - `schema.callbacks` defines chainable callbacks that are run in definition order for particular events\n - `Recipes` for common callbacks are provided in the `/lib/recipes` directory and are loaded under `Dakota.Rescipes.Callbacks`\n - *NOTE* there are cases when callbacks are skipped or ignored, please see the *Creating and Deleting* and *Upsert and Delete Without Reading* sections below for more details\n - `schema.methods` defines instance methods available on each model instance\n - `schema.staticMethods` defines static methods on the model\n\n## Validations\n\n### Usage\n\n```javascript\nvar user = new User();\n\nuser.email = 'dAkOtA@dAKOta.DAkota'; // automatically sanitizes input\nuser.email; // returns 'dakota@dakota.dakota'\n\nuser.password = 'dak';\nuser.validate(); // returns { password: ['Password must contain at least one character and one number.', 'Password must be more than 6 characters long', ... ], ... } if validation errors\n\nuser.save(function(err) {\n if (err) {\n if (err instanceof Dakota.Model.ValidationFailedError) { // Dakota.Model.ValidationFailedError if validation errors\n var invalidColumns = err.message;\n }\n }\n ...\n});\n\nuser.validate({ only: ['password'] });\nuser.validate({ except: [email] });\nuser.save(..., { validate: { only: [...] } });\nuser.save(..., { validate: { except: [...] } });\n\nuser.validatePassword('dak'); // returns { password: ['Password must contain at least one character and one number.', 'Password must be more than 6 characters\nuser.sanitizeEmail('dAkOtA@dAKOta.DAkota'); // returns 'dakota@dakota.dakota'\n\nUser.validatePassword('dak'); // returns { password: ['Password must contain at least one character and one number.', 'Password must be more than 6 characters\nUser.sanitizeEmail('dAkOtA@dAKOta.DAkota'); // returns 'dakota@dakota.dakota'\n```\n - `sanitizers` are run when a column's value is set\n - in the example above, our sanitizer downcases the user's email address\n - `validators` are run when the `.validate()` methods is explicitly called and on model `.save(...)`\n - if validation errors exist, an `Object` will be produced where the keys correspond to column names and the values are arrays of validation error messages\n - `.validate(...)` returns a validation `Object` immediately on validation fail, and `false` on validation pass\n - `.save(...)` is interrupted on validation errors and a `Dakota.Model.ValidationFailedError` is passed as the `err` argument to the callback\n - both `.validate` and `.save` can take an options object that specify validations to `only` run on some columns or run on all columns `except` some\n\n### Definition\n\n```javascript\nvar Dakota = require('dakota-cassandra');\nvar nm_s = require('underscore.string');\n\nvar validations = {\n ctime: {\n validator: {\n validator: function(value, instance) {\n return !nmValidator.isNull(value);\n },\n message: function(displayName) { return displayName + ' is required.'; }\n }\n },\n utime: {\n validator: Dakota.Recipes.Validators.required\n },\n id: {\n validator: Dakota.Recipes.Validators.required\n },\n email: {\n displayName: 'Email',\n validator: Dakota.Recipes.Validators.email,\n sanitizer: Dakota.Recipes.Sanitizers.email\n },\n name: {\n displayName: 'Name',\n validator: [Dakota.Recipes.Validators.required, Dakota.Recipes.Validators.minLength(1)],\n sanitizer: function(value, instance) {\n return nm_s.capitalize(value);\n }\n }\n};\n```\n - validation keys correspond to the column names in the schema definition\n - `.displayName` specifies the name of the column to be displayed to users in validation messages\n - `.validator` is an array of validator definitions or a single definition\n - `.validator.validator` is a a function that must return true or false based on its input value\n - `.validator.message` returns a custom message based on a passed in `displayName`\n - `.sanitizer` is an array of sanitizer functions or a single sanitization function\n - Both `.validator` and `.sanitizer` are passed an optional argument `instance`, which refers to the model instance being validated\n - Recipes for validators and sanitizers can be found under the `/lib/recipes` folder and are loaded under `Dakota.Rescipes.Validators` and `Dakota.Rescipes.Sanitizers`\n\n## Creating and Deleting\n\n```javascript\nvar User = dakota.addModel('User', schema, validations);\nvar user = new User({ name: 'Dakota' });\nuser.save(function(err) { ... });\nuser = User.new({ name: 'Alex' });\nuser.save(function(err) { ... }, {\n ... ,\n validate: {\n only / except ...\n },\n callbacks: {\n skipAll: false, // skips all callbacks, takes precedence over subsequent settings\n skipBeforeValidate: false,\n skipAfterValidate: false,\n skipBeforeCreate: false,\n skipAfterCreate: false,\n skipBeforeSave: false,\n skipAfterSave: false\n }\n});\nuser = User.create({ name: 'Cindy' }, function(err) { ... });\n\nuser.if({ name: 'Dakota' }).save(function(err) { ... });\nuser.ifNotExists(true).ttl(1000).save(function(err) { ... });\nuser.using({ '$ttl' : 1000, '$timestamp' : 123456789 }).save(function(err) { ... });\nuser.timestamp(123456789).save(function(err) { ... });\n\nuser.delete(function(err) { ... }, {\n ... ,\n callbacks: {\n skipAll: false, // skips all callbacks, takes precedence over subsequent settings\n skipBeforeDelete: false,\n skipAfterDelete: false\n }\n});\nuser.ifExists(true).delete(function(err) { ... });\n```\n - Instances of models can be created 3 different ways\n - `new User([assignments])` and `User.new([assignments])` are functionally identical and create an instance without immediately persisting it to the database\n - `User.create([assignments], callback)` immediately but asynchronously persists the object to the database\n - *NOTE* both `.new` and `.create` will upsert records\n - ... to only create new records, manually check if a record exists or use `.new` with `.ifNotExists`\n - `.delete(callback)` deletes the model instance's corresponding row in the database\n - All callbacks will be run using the methods above since the entire record is presumed to be loaded\n - `.ttl(...)`, `.timestamp(...)`, `.using(...)`, `.ifExists(...)`, `.ifNotExists(...)`, and `.if()` query chains can modify query parameters before `.delete(...)` or `.save(...)` compile and run the query on the database\n \n## Upsert and Delete Without Reading\n\n```javascript\nUser.upsert({ name: 'Dakota' }, function(err){ ... }); // all callbacks run, except: afterNew, beforeCreate, afterCreate\n\nvar user = User.upsert({ id: Dakota.generateUUID(), name: 'Dakota', email: 'dakota@dakota.dakota' });\nuser.age = 15;\nuser.appendTag('dog');\nuser.save(function(err) { ... }); // all callbacks run, except: afterNew, beforeCreate, afterCreate\n\nvar user = User.upsert({ id: Dakota.generateUUID(), name: 'Dakota', email: 'dakota@dakota.dakota' });\nuser.delete(function(err) { ... }); // beforeDelete and afterDelete callbacks run\n\nUser.delete({ name: 'Dakota' }, function(err) { ... }); // no callbacks run\nUser.where(...).delete(function(err) { ... }); // no callbacks run\nUser.where(...).ifExists(true).delete(function(err) { ... }); // no callbacks run\n\nUser.deleteAll(function(err) { ... }); // no callbacks run\nUser.truncate(function(err) { ... }); // no callbacks run\n```\n - `User.upsert([assignments], [callback])` creates a special instance of a user object that prefers idempotent actions\n - Since the entire record is not presumed to be loaded:\n - columns can only be read after they are set\n - columns are only validated if they are set\n - collection specific operations like `$append`, `$prepend`, `$remove` will not combine into a `$set` on conflict\n - `afterNew`, `beforeCreate`, `afterCreate` callbacks are NOT run\n - You should ensure all primary keys are set prior to calling `.save` by defining them in the initial call to `.upsert` or setting the corresponding columns via conventional setters\n - `User.upsert(...)` followed by `.delete(...)` will delete the record based on columns set in `.upsert` or via setters later\n - This is the only delete without reading method that runs the `beforeDelete` and `afterDelete` callbacks\n - `User.delete([where], [callback])` and `User.where([conditionals]).delete([callback])` behave identically\n - `User.where(...)...` starts a query building object and allows for additional clauses to be appended, like `.ifExists`\n - `beforeDelete` and `afterDelete` callbacks are NOT run\n - `.deleteAll(callback)` and `.truncate(callback)` are functionally identical and remove all rows from a table\n - `beforeDelete` and `afterDelete` callbacks are NOT run because the rows are never loaded into memory\n - ... if callbacks must be run, consider a `User.where(...).eachRow(function(err, user) { user.delete(...) })`\n\n## Querying\n\n```javascript\nUser.all(function(err, users) { ... });\nUser.where({ name: 'Dakota' }).first(function(err, user) { ... });\nUser.where({ name: 'Dakota' }).limit(1).execute(function(err, user) { ... });\nUser.count(function(err, count) { ... });\nUser.select(['email', 'utime']).where({ name: 'Dakota', age: { '$gte' : 5 } }).orderBy('age', '$asc').limit(1).allowFiltering(true).all(function(err, users) { ... });\n\nUser.find({ name: 'Dakota', email: 'dakota@dakota.com' }, function(err, users) { ... });\nUser.findOne({ name: 'Dakota' }, function(err, user) { ... });\n\nUser.eachRow(function(n, user) { ... }, function(err) { ... });\n\nvar stream = User.stream();\nstream.on('readable', function() {\n // readable is emitted as soon a row is received and parsed\n var user;\n while (user = this.read()) {\n ...\n }\n});\nstream.on('end', function() {\n // stream ended, there aren't any more rows\n});\nstream.on('error', function(err) {\n // something went wrong: err is a response error from Cassandra\n});\n```\n - There are a multitude of ways to dynamically query your data using the query builder\n - `.all(callback)`, `.first(callback)`, `.execute(callback)`, and `.count(callback)` methods terminate query building, compile your query, and submit it to the database; they should be used at the end of a query chain to execute the query\n - `.select([column{String}, ...])` and `.select(column{String}, ...)` specifies which columns to return in your results\n - `.select` is additive, meaning `.select('name').select('email')` will return both name and email in resulting rows\n - `.where(column{String}, value)`, `.where({ column{String}: value })`, and `.where({ column{String}: { operation[$eq, $gt, $gte, ...]{String}: value }})` specifies the WHERE conditions in your query\n - `.where` is additive but overrides conditions on the same column, meaning `.where('name', 'Dakota').where({ age: 5}).where('name', 'Dak')` will compiles to `WHERE \"name\" = 'Dak' AND \"age\" = 5`\n - `.orderBy({ partitionKey{String}: order[$asc, $desc]{String} })` and `.orderBy(partitionKey{String}, order[$asc, $desc]{String})` order your results by a particular partition key in either `$asc` or `$desc` order\n - `.limit(limit{Integer})` limits the number of rows returned\n - `.allowFiltering(allow{Boolean})` adds the `ALLOW FILTERING` clause to the compiled `SELECT` query\n - `.find([conditions], callback)` and `.findOne([conditions], callback)` are short hand methods for `.where(...).all(...)` and `.where(...).first(...)`\n - `.eachRow(...)` and `.stream()` methods invoke the corresponding Cassandra non-buffering row processing methods\n\n## Setters and Getters\n\n```javascript\nUser.first(function(err, user) {\n\nuser.email = 'dakota@dakota.dakota';\nuser.email; // returns 'dakota@dakota.dakota'\n\nuser.set('name', 'Dakota');\nuser.get('name'); // returns 'Dakota'\nuser.get(['name', 'email', ... ]); // returns { name: 'Dakota', email: 'dakota@dakota.dakota' }\n\n// assuming schema items: { type: list }\nuser.appendItem('item 1');\nuser.appendItem('item 1');\nuser.prependItem('item 0');\nuser.appendItem('item 2');\nuser.items; // returns ['item 0', 'item 1', 'item 1', 'item 2']\nuser.removeItem('item 1');\nuser.items; // returns ['item 0', 'item 2']\nuser.inject(1, 'item 0');\nuser.items; // returns ['item 0', 'item 0'];\nuser.removeItem('item 0');\nuser.items; // returns null\nuser.items = ['item 0', 'item 1', 'item 2'];\nuser.items; // returns ['item 0', 'item 1', 'item 2]\n\n// assuming schema friends: { type: set }\nuser.addFriend('Bob');\nuser.addFriend('Bob');\nuser.addFriend('Joe');\nuser.friends; // returns ['Bob', 'Joe']\nuser.removeFriend('Joe');\nuser.friends; // returns ['Bob']\nuser.friends = ['Jenny', 'Alex', 'Cathy', 'Cathy'];\nuser.friends; // returns ['Jenny', 'Alex', 'Cathy']\n\n// assuming schema hosts: { type: map }\nuser.hosts = { localhost: '127.0.0.1', mask: '255.255.255.255' };\nuser.injectHost('home', '123.456.789.123');\nuser.hosts; // returns { home: '123.456.789.123', localhost: '127.0.0.1', mask: '255.255.255.255' }\nuser.removeHost('mask');\nuser.hosts; // returns { home: '123.456.789.123', localhost: '127.0.0.1' }\n\n});\n\nUserCounter.first(function(err, userCounter) {\n\n// assuming schema cnt: { type: counter }\nuserCounter.incrementCnt(5);\nuserCounter.incrementCnt(3);\nuserCounter.decrementCnt(7);\nuserCounter.cnt; // returns 1\n\n});\n\n```\n - Single and multiple compatible calls to collection specific setters will modify collections without setting the whole column value\n - ... for example, `.addFriend('Bob')` will compile into `friends = friends + {'Bob'}`\n - ... likewise, `.addFriend('Bob')` followed by `.addFriend('Joe')` will compile into `friends = friends + {'Bob', 'Joe'}`\n - ... however, `.addFriend('Bob')` followed by `.removeFriend('...')` will compile into `friends = {'Bob', ... }` since `add` and `remove` calls cannot be combined\n - Single and multiple compatible calls to `.remove` on `map` typed columns will generate a `DELETE map1[key1], map2[key3] FROM...` query if performed in isolation\n - ... for example, `.removeHost('mask')` will compile into `DELETE hosts['mask'] FROM users WHERE...`\n - ... likewise, `.removeHost('mask')` followed by `.removeHost('home')` will compile into `DELETE hosts['mask'], hosts['home'] FROM users WHERE...`\n - ... however, `.removeHost('mask')` followed by `.addFriend('Bob')` or `.injectHost('home', '123.456.789.123')` will compile into `hosts = { 'home' : '123.456.789.123' }` since `add` breaks isolation and `inject` cannot be combined\n\n## Change Tracking\n\n```javascript\nUser.first(function(err, user) {\n\nuser.changed(); // returns false, check if any changes to any columns\nuser.changes(); // returns {}\nuser.name = 'Dakota';\nuser.changed('name'); // return true\nuser.changes(); // returns { name: { from: 'prev name', to: 'Dakota } }\nuser.changes('name'); // returns { from: 'prev name', to: 'Dakota }\n\n});\n```\n\n## User Defined Types\n\n```javascript\nvar Dakota = require('dakota-cassandra');\n\nvar address = {\n street: 'text',\n city: 'text',\n state: 'text',\n zip: 'int',\n phones: 'frozen>',\n tenants: 'frozen>'\n};\n\nvar userDefinedTypes = {\n address: address\n};\nvar dakota = new Dakota(options, userDefinedTypes);\n```\n - User defined types must be passed into the `new Dakota(options, [userDefinedTypes])` constructor because model schemas may depend on their existence\n - The format of the `userDefinedTypes` argument should be an `Object` where each `key` is the `name` of the user defined type you'd like to define\n - The definition of each user defined type should be an `Object` that maps field names to types\n\n## Helpers\n\n```javascript\nvar Dakota = require('dakota-cassandra');\n\nDakota.generateUUID();\n\nDakota.generateTimeUUID();\nDakota.getDateFromTimeUUID(timeUUID);\nDakota.getTimeFromTimeUUID(timeUUID);\n\nDakota.nowToTimestamp();\nDakota.dateToTimestamp(new Date());\n```\n - Helpers for generating and manipulating `UUID` and `TimeUUID` are available as static methods on Dakota\n - `.getDateFromTimeUUID` and `.getTimeFromTimeUUID` can be used to extra time and date data from TimeUUID strings and objects\n \n## Examples\n\nFor an in-depth look at using Dakota, take a look inside the `/tests` folder.","maintainers":[{"name":"ahlwong","email":"alexander.hl.wong@gmail.com"}],"time":{"modified":"2022-06-14T08:23:55.066Z","created":"2015-08-31T07:51:15.096Z","0.0.1":"2015-08-31T07:51:15.096Z","0.0.2":"2015-08-31T10:19:04.377Z","0.0.3":"2015-08-31T18:37:23.952Z","0.0.4":"2015-09-01T08:06:00.324Z","0.0.5":"2015-09-01T08:23:36.640Z","0.0.6":"2015-09-02T11:33:49.245Z","0.0.7":"2015-09-02T20:49:50.743Z","0.0.8":"2015-09-03T10:28:06.039Z","0.0.10":"2015-09-03T19:00:16.229Z","0.0.11":"2015-09-03T22:23:34.448Z","0.0.12":"2015-09-04T03:36:10.381Z","0.0.13":"2015-09-04T08:03:30.414Z","0.0.14":"2015-09-04T08:34:13.356Z","0.0.15":"2015-09-07T08:59:38.880Z","0.0.16":"2015-09-07T19:41:43.313Z","0.0.17":"2015-09-08T01:28:59.839Z","0.0.18":"2015-09-08T09:21:53.672Z","0.0.19":"2015-09-08T23:51:04.411Z","0.0.20":"2015-09-09T03:48:28.414Z","0.0.21":"2015-09-09T21:53:12.450Z","0.0.22":"2015-09-10T09:59:48.071Z","0.0.23":"2015-09-10T21:05:30.774Z","0.0.24":"2015-09-12T02:30:09.907Z","0.0.25":"2015-09-12T09:51:12.722Z","0.0.26":"2015-09-13T01:27:47.642Z","0.0.27":"2015-09-13T02:36:29.944Z","0.0.28":"2015-09-13T07:19:21.846Z","0.0.29":"2015-09-13T07:58:55.002Z","0.0.30":"2015-09-23T18:12:53.522Z","0.0.31":"2015-09-24T17:41:44.063Z","0.0.32":"2015-10-02T17:42:00.652Z","0.0.33":"2015-10-06T00:24:02.583Z","0.0.35":"2015-12-15T06:01:46.374Z","0.0.36":"2016-07-01T05:02:22.222Z","0.0.37":"2016-07-01T05:24:03.029Z"},"keywords":["cassandra","cql","cql3","connection","pool","datastax","nosql","driver","database","orm","odm","nodejs","ahlwong"],"author":{"name":"Alexander Wong"},"readmeFilename":"README.md","homepage":"https://github.com/ahlwong/dakota-cassandra","repository":{"type":"git","url":"git+https://github.com/ahlwong/dakota-cassandra.git"},"bugs":{"url":"https://github.com/ahlwong/dakota-cassandra/issues"}}