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OpenSearch model using TypeScript classes.","maintainers":[{"name":"changmyeong","email":"changmyeong.baek@gmail.com"}],"readme":"# TypenSearch\n\nTypenSearch is a simple and powerful Object Document Mapper (ODM) for OpenSearch, designed to help developers easily interact with OpenSearch indices using TypeScript. Inspired by Typegoose, it brings the power of TypeScript decorators to OpenSearch, making it more intuitive and type-safe.\n\n## Features\n\n- 🎯 Intuitive schema definition with TypeScript decorators\n- 🚀 Automatic index management and mapping\n- ⚡ Type-safe CRUD operations\n- 🛠 Custom field options support\n- 🔍 Powerful search capabilities\n\n## Installation\n\n```bash\nnpm install --save typensearch\n```\n\n## Quick Start\n\n### 1. OpenSearch Connection Setup\n\n```typescript\nimport { initialize } from \"typensearch\";\n\nawait initialize(\n {\n node: \"http://localhost:9200\",\n // Additional OpenSearch client options\n auth: {\n username: \"admin\",\n password: \"admin\",\n },\n ssl: {\n rejectUnauthorized: false,\n },\n },\n {\n createIndexesIfNotExists: [User.prototype],\n }\n);\n```\n\n### 2. Model Definition\n\n```typescript\nimport { OpenSearchIndex, Field, Model } from \"typensearch\";\n\n@OpenSearchIndex({\n name: \"users\", // Index name (optional, defaults to lowercase class name)\n numberOfShards: 2,\n numberOfReplicas: 1,\n settings: {\n // Additional index settings\n \"index.mapping.total_fields.limit\": 2000,\n },\n})\nclass User extends Model {\n @Field({\n type: \"text\",\n required: true,\n fields: {\n keyword: { type: \"keyword\" }, // Multi-fields configuration\n },\n })\n username: string;\n\n @Field({\n type: \"keyword\",\n required: true,\n validate: (value: string) => {\n return /^[^@]+@[^@]+\\.[^@]+$/.test(value);\n },\n })\n email: string;\n\n @Field({\n type: \"object\",\n properties: {\n street: { type: \"text\" },\n city: { type: \"keyword\" },\n country: { type: \"keyword\" },\n },\n })\n address?: {\n street: string;\n city: string;\n country: string;\n };\n}\n```\n\n### 3. CRUD Operations\n\n```typescript\n// Create a document\nconst user = await User.index({\n username: \"john_doe\",\n email: \"john.doe@example.com\",\n address: {\n street: \"123 Main St\",\n city: \"New York\",\n country: \"USA\",\n },\n});\n\n// Create/Update multiple documents using bulk operation\nconst bulkResponse = await User.bulkIndex(\n [\n {\n username: \"john_doe\",\n email: \"john.doe@example.com\",\n address: {\n street: \"123 Main St\",\n city: \"New York\",\n country: \"USA\",\n },\n },\n {\n _id: \"existing_user\", // Update if ID exists\n username: \"jane_doe\",\n email: \"jane.doe@example.com\",\n },\n ],\n { refresh: true }\n);\n\n// Delete multiple documents using bulk operation\nawait User.bulkDelete([\"user1\", \"user2\", \"user3\"], { refresh: true });\n\n// Get document by ID\nconst foundUser = await User.get(\"user_id\");\n\n// Update document\nfoundUser.username = \"jane_doe\";\nawait foundUser.save();\n\n// Update multiple documents\nawait User.updateMany(\n { city: \"New York\" }, // search condition\n { country: \"US\" } // fields to update\n);\n\n// Search (using query builder)\nconst users = await User.query()\n .match(\"username\", \"john\", { operator: \"AND\" })\n .bool((q) =>\n q\n .must(\"address.city\", \"New York\")\n .should(\"tags\", [\"developer\", \"typescript\"])\n )\n .sort(\"username\", \"desc\")\n .from(0)\n .size(10)\n .execute();\n\n// Delete document\nawait foundUser.delete();\n\n// Delete multiple documents\nawait User.deleteMany({\n \"address.country\": \"USA\",\n});\n\n// Count documents\nconst count = await User.count({\n query: {\n term: { \"address.city\": \"New York\" },\n },\n});\n```\n\n### 4. Schema Migration\n\nTypenSearch provides powerful schema migration capabilities to help you manage changes to your index mappings safely and efficiently.\n\n```typescript\n// Basic Migration Example\n@OpenSearchIndex({\n name: \"users\",\n settings: {\n \"index.mapping.total_fields.limit\": 2000,\n },\n})\nclass User extends Model {\n @Field({ type: \"keyword\" })\n name: string;\n\n @Field({ type: \"integer\" })\n age: number;\n}\n\n// Adding new fields\n@OpenSearchIndex({\n name: \"users\",\n settings: {\n \"index.mapping.total_fields.limit\": 2000,\n },\n})\nclass UpdatedUser extends Model {\n @Field({ type: \"keyword\" })\n name: string;\n\n @Field({ type: \"integer\" })\n age: number;\n\n @Field({ type: \"text\" })\n description: string;\n}\n\n// Check migration plan\nconst plan = await UpdatedUser.planMigration();\nconsole.log(\"Migration Plan:\", {\n addedFields: plan.addedFields,\n modifiedFields: plan.modifiedFields,\n deletedFields: plan.deletedFields,\n requiresReindex: plan.requiresReindex,\n estimatedDuration: plan.estimatedDuration,\n});\n\n// Execute migration\nconst result = await UpdatedUser.migrate();\n\n// Safe Migration with Backup and Rollback\nconst result = await UpdatedUser.migrate({\n backup: true,\n waitForCompletion: true,\n});\n\nif (!result.success) {\n const rollback = await UpdatedUser.rollback(result.migrationId);\n}\n\n// Large Dataset Migration\nconst result = await UpdatedUser.migrate({\n backup: true,\n waitForCompletion: false,\n timeout: \"1h\",\n});\n\n// Check Migration History\nconst history = await UpdatedUser.getMigrationHistory();\n```\n\n#### Migration Options\n\n```typescript\ninterface MigrationOptions {\n dryRun?: boolean; // Test migration without applying changes\n backup?: boolean; // Create backup before migration\n waitForCompletion?: boolean; // Wait for migration to complete\n timeout?: string; // Migration timeout\n batchSize?: number; // Number of documents to process in each batch\n}\n```\n\n## API Reference\n\n### Decorators\n\n#### @OpenSearchIndex(options: IndexOptions)\n\nDefines index settings.\n\n```typescript\ninterface IndexOptions {\n name?: string; // Index name\n numberOfShards?: number; // Number of shards\n numberOfReplicas?: number; // Number of replicas\n settings?: Record; // Additional index settings\n}\n```\n\n#### @Field(options: FieldOptions)\n\nDefines field type and properties.\n\n```typescript\ninterface FieldOptions {\n type: string;\n required?: boolean;\n default?: T;\n boost?: number;\n fields?: Record;\n properties?: Record>;\n validate?: (value: T) => boolean;\n}\n```\n\n### Model Methods\n\nAll methods return Promises.\n\n#### Static Methods\n\n- `Model.index(doc: Partial, refresh?: boolean)`: Create a new document\n- `Model.get(id: string)`: Get document by ID\n- `Model.updateMany(query: any, updates: Partial, options?: UpdateOptions)`: Update multiple documents\n- `Model.deleteMany(query: any)`: Delete multiple documents\n- `Model.search(body: any, size?: number)`: Search documents with raw query\n- `Model.count(body: any)`: Count documents\n- `Model.bulkIndex(docs: Partial[], options?: BulkOptions)`: Create or update multiple documents in one operation\n- `Model.bulkDelete(ids: string[], options?: BulkOptions)`: Delete multiple documents by their IDs\n- `Model.planMigration()`: Generate schema change plan\n- `Model.migrate(options?: MigrationOptions)`: Execute schema changes\n- `Model.rollback(migrationId: string)`: Rollback a migration\n- `Model.getMigrationHistory()`: Get migration history\n- `Model.getMapping()`: Get current index mapping with all field options\n- `Model.query()`: Get a new query builder instance\n\n#### Instance Methods\n\n- `save(refresh?: boolean)`: Save current document\n- `delete(refresh?: boolean)`: Delete current document\n- `validate()`: Validate document against schema rules\n\n### Query Builder\n\nProvides a type-safe query builder for writing OpenSearch queries.\n\n#### Basic Queries\n\n```typescript\n// Match query\nconst results = await User.query()\n .match(\"username\", \"john\", {\n operator: \"AND\",\n fuzziness: \"AUTO\",\n })\n .execute();\n\n// Term query\nconst results = await User.query()\n .term(\"age\", 25, {\n boost: 2.0,\n })\n .execute();\n\n// Range query\nconst results = await User.query()\n .range(\"age\", {\n gte: 20,\n lte: 30,\n })\n .execute();\n```\n\n#### Boolean Queries\n\n```typescript\nconst results = await User.query()\n .bool((q) =>\n q\n .must(\"role\", \"admin\")\n .mustNot(\"status\", \"inactive\")\n .should(\"tags\", [\"developer\", \"typescript\"])\n .filter(\"age\", { gte: 20, lte: 30 })\n )\n .execute();\n```\n\n#### Search Options\n\n```typescript\nconst results = await User.query()\n .match(\"username\", \"john\")\n // Sorting\n .sort(\"createdAt\", \"desc\")\n .sort(\"username\", { order: \"asc\", missing: \"_last\" })\n // Pagination\n .from(0)\n .size(10)\n // Field filtering\n .source({\n includes: [\"username\", \"email\", \"age\"],\n excludes: [\"password\"],\n })\n // Additional options\n .timeout(\"5s\")\n .trackTotalHits(true)\n .execute();\n```\n\n#### Query Options\n\n##### MatchQueryOptions\n\n```typescript\n{\n operator?: \"OR\" | \"AND\";\n minimum_should_match?: number | string;\n fuzziness?: number | \"AUTO\";\n prefix_length?: number;\n max_expansions?: number;\n fuzzy_transpositions?: boolean;\n lenient?: boolean;\n zero_terms_query?: \"none\" | \"all\";\n analyzer?: string;\n}\n```\n\n##### TermQueryOptions\n\n```typescript\n{\n boost?: number;\n case_insensitive?: boolean;\n}\n```\n\n##### RangeQueryOptions\n\n```typescript\n{\n gt?: number | string | Date;\n gte?: number | string | Date;\n lt?: number | string | Date;\n lte?: number | string | Date;\n format?: string;\n relation?: \"INTERSECTS\" | \"CONTAINS\" | \"WITHIN\";\n time_zone?: string;\n}\n```\n\n##### SortOptions\n\n```typescript\n{\n order?: \"asc\" | \"desc\";\n mode?: \"min\" | \"max\" | \"sum\" | \"avg\" | \"median\";\n missing?: \"_last\" | \"_first\" | any;\n}\n```\n\n#### Geo Queries\n\n```typescript\n// Geo Distance Query\nconst results = await User.query()\n .geoDistance(\"location\", {\n distance: \"200km\",\n point: {\n lat: 40.73,\n lon: -73.93,\n },\n })\n .execute();\n\n// Geo Bounding Box Query\nconst results = await User.query()\n .geoBoundingBox(\"location\", {\n topLeft: {\n lat: 40.73,\n lon: -74.1,\n },\n bottomRight: {\n lat: 40.01,\n lon: -73.86,\n },\n })\n .execute();\n```\n\n#### Aggregations\n\nTypenSearch provides powerful aggregation capabilities for data analysis.\n\n```typescript\n// Metric Aggregations\nconst results = await User.query()\n .match(\"role\", \"developer\")\n .aggs(\n \"age_stats\",\n (a) => a.stats(\"age\") // Calculate statistics (min, max, avg, sum)\n )\n .aggs(\n \"avg_salary\",\n (a) => a.avg(\"salary\") // Calculate average\n )\n .execute();\n\n// Bucket Aggregations\nconst results = await User.query()\n .terms(\"job_categories\", { field: \"job_title\" }) // Group by job title\n .aggs(\"avg_age\", (a) => a.avg(\"age\")) // Add sub-aggregation\n .execute();\n\n// Date Histogram Aggregation\nconst results = await User.query()\n .dateHistogram(\"signups_over_time\", {\n field: \"createdAt\",\n calendar_interval: \"1d\", // Daily intervals\n format: \"yyyy-MM-dd\",\n })\n .execute();\n\n// Range Aggregation\nconst results = await User.query()\n .rangeAggregation(\"salary_ranges\", {\n field: \"salary\",\n ranges: [{ to: 50000 }, { from: 50000, to: 100000 }, { from: 100000 }],\n })\n .execute();\n\n// Nested Aggregations\nconst results = await User.query()\n .terms(\"job_categories\", { field: \"job_title\" })\n .aggs(\"experience_stats\", (a) =>\n a\n .stats(\"years_of_experience\")\n .subAggs(\"salary_stats\", (ssa) => ssa.stats(\"salary\"))\n )\n .execute();\n```\n\n#### Aggregation Options\n\n##### MetricAggregationOptions\n\n```typescript\ninterface MetricAggregationOptions {\n field: string;\n script?: string;\n missing?: unknown;\n}\n```\n\n##### BucketAggregationOptions\n\n```typescript\ninterface BucketAggregationOptions {\n field: string;\n size?: number;\n minDocCount?: number;\n order?: {\n [key: string]: \"asc\" | \"desc\";\n };\n missing?: unknown;\n}\n```\n\n##### DateHistogramAggregationOptions\n\n```typescript\ninterface DateHistogramAggregationOptions {\n field: string;\n interval?: string;\n format?: string;\n timeZone?: string;\n minDocCount?: number;\n missing?: unknown;\n}\n```\n\n##### RangeAggregationOptions\n\n```typescript\ninterface RangeAggregationOptions {\n field: string;\n ranges: Array<{\n key?: string;\n from?: number;\n to?: number;\n }>;\n keyed?: boolean;\n}\n```\n\n## Error Handling\n\nTypenSearch may throw the following errors:\n\n```typescript\ntry {\n await user.save();\n} catch (error) {\n if (error instanceof ValidationError) {\n // Validation failed\n console.error(\"Validation failed:\", error.message);\n } else if (error instanceof ConnectionError) {\n // OpenSearch connection failed\n console.error(\"Connection failed:\", error.message);\n } else {\n // Other errors\n console.error(\"Unknown error:\", error);\n }\n}\n```\n\n## Best Practices\n\n### Index Settings Optimization\n\n```typescript\n@OpenSearchIndex({\n name: 'products',\n settings: {\n 'index.mapping.total_fields.limit': 2000,\n 'index.number_of_shards': 3,\n 'index.number_of_replicas': 1,\n 'index.refresh_interval': '5s',\n analysis: {\n analyzer: {\n my_analyzer: {\n type: 'custom',\n tokenizer: 'standard',\n filter: ['lowercase', 'stop', 'snowball']\n }\n }\n }\n }\n})\n```\n\n### Efficient Searching\n\n```typescript\nconst results = await Product.search({\n _source: [\"name\", \"price\"], // Only fetch needed fields\n query: {\n bool: {\n must: [{ match: { name: \"phone\" } }],\n filter: [{ range: { price: { gte: 100, lte: 200 } } }],\n },\n },\n sort: [{ price: \"asc\" }],\n from: 0,\n size: 20,\n});\n```\n\n### Migration Best Practices\n\n1. Always test with `dryRun` first\n2. Use `backup: true` option for important changes\n3. Set `waitForCompletion: false` for large datasets and run in background\n4. Monitor migration progress using `getMigrationHistory()`\n\n## Contributing\n\n1. Fork the repository\n2. Create your feature branch: `git checkout -b feature/something-new`\n3. Commit your changes: `git commit -am 'Add some feature'`\n4. Push to the branch: `git push origin feature/something-new`\n5. Submit a pull request\n\n## License\n\nThis project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.\n\n## Support\n\n- Report bugs and request features through issues\n- Contribute code through pull requests\n- Suggest documentation improvements\n- Share use cases\n","readmeFilename":"README.md"}