OpenSearchORM

OpenSearchORM is an ORM tool that can run in javascript and helps developers
to define a mapping of entities in one place by using decorators.

It's a fork of https://github.com/Twiddlle/elasticsearch-orm with replacing ElasticSearch with OpenSearch

Installation

Install package from npm.

``bash
npm i @oneralon/opensearch-orm @opensearch-project/opensearch
`

Usage

$3

`typescript
import { EsEntity, EsProperty, EsId } from 'opensearch-orm';

@EsEntity('elastic_index') // specify elastic index
export class MyEntity {
@EsId()
public id: string;

@EsProperty('integer')
public foo: number;

@EsProperty({ type: 'keyword' })
public bar: string;

@EsProperty('boolean')
public fingersCrossedForUkraine: boolean = true;

@EsProperty('date')
public createdAt: Date;
}
`

$3

`typescript
import { EsRepository } from 'opensearch-orm';
import { Client } from '@opensearch-project/opensearch';

const repository = new EsRepository(MyEntity, new Client(/ client configuration /));
`

$3

You can easily create index from you entity definition by running:

`typescript
import { FactoryProvider } from 'opensearch-orm';

const schema = FactoryProvider.makeSchemaManager().generateIndexSchema(MyEntity);
await repository.createIndex(schema);
`

$3

`typescript
const myEntity = new MyEntity();
myEntity.foo = 99;
myEntity.bar = 'hello elastic search';
myEntity.isTutorial = true;
myEntity.createdAt = new Date();
const createdEntity = await repository.create(myEntity);
`

`typescript
const { entities, raw } = await repository.find({
query: {
term: {
foo: 99,
},
},
});
`

- entities contain deserialized entities.
- raw contains raw response from elastic.

$3

#### Entity methods

- create: creates entity
- createMultiple: creates multiple entities
- update: updates entity
- updateMultiple: updates multiple entities
- index: index entity
- indexMultiple: index multiple entities
- delete: deletes entity
- deleteMultiple: deletes multiple entities
- findOne: finds single entity by specified query
- findOneOrFail: finds single entity or throw exception
- find: finds entities by query
- findById finds single entity by id

#### Indices/Mapping methods

- createIndex: creates index
- deleteIndex: delete index
- updateMapping: update mapping

#### Additional methods

- on: registers function on specific repository actions

Advanced Usage

$3

#### Native query interface

Repository requires specific elastic structure object by default.
Thanks to typescript query can be written really easily with autosuggestion.
It will hint also properties from defined entity.

!autosuggestion

#### Query Builder

If you are more familiar with builders. Bodybuilder can be used easily.

1. Install bodybuilder package.

`shell
npm i bodybuilder
`

2. Builder usage

`typescript
import * as bodybuilder from 'bodybuilder';

const body = bodybuilder().query('match', 'foo', 1).build();
const res = await repository.findOne(body);
`

$3

`typescript
import { EsEntity, EsProperty, EsId } from 'opensearch-orm';

@EsEntity('elastic_index')
export class MyEntity {
@EsId()
public id: string;

@EsProperty('integer')
public foo: number;

@EsProperty({ type: 'nested', entity: MyNestedEntity })
public nestedItem: MyNestedEntity;

@EsProperty({ type: 'nested', entity: MyNestedEntity })
public nestedItems: MyNestedEntity[];
}

export class MyNestedEntity {
@EsProperty('keyword')
public name: string;
}

// query for nested entities
const res = await repository.findOne({
query: {
nested: {
path: 'nestedItem',
query: {
bool: {
must: [{ match: { 'nestedItem.name': 'find this string' } }],
},
},
},
},
});
`

$3

Identifier is automatically generated. But if you want to control generation of ids, you can use this approach:

`typescript
@EsEntity('elastic_index')
export class MyEntity {
@EsId({
generator: () => {
// apply custom logic here
return 'customGeneratedId';
},
})
public id: string;
}
`

$3

For additional property options use parameter additionalFieldOptions.

`typescript
import { EsEntity, EsProperty, EsId } from 'opensearch-orm';

@EsEntity('elastic_index')
export class MyEntity {
@EsId()
public id: string;

@EsProperty('text', {
additionalFieldOptions: {
enabled: false,
fields: {
raw: {
type: 'keyword',
},
},
},
})
public foo: string;
}
`

$3

`typescript
@EsEntity('elastic_index', {
aliases: ['elastic_index_alias_read', 'elastic_index_alias_write'],
settings: {
number_of_replicas: 1,
number_of_shards: 5,
// and other settings definitions
},
mapping: {
dynamic: 'strict',
},
})
export class MyEntity {}
`

$3

`typescript
import { FactoryProvider } from 'opensearch-orm';

const mapping = FactoryProvider.makeSchemaManager().buildMapping(FactoryProvider.makeMetaLoader().getReflectMetaData(TestingNestedClass));
await repository.updateMapping(mapping);
`

$3

`typescript
await repository.deleteIndex();
`

$3

Enhancing elastic search requests is sometimes useful in one place.
To do so you can register custom function which will be executed before every request on elastic.

For example:

1. Enable explain for non production environments

`typescript
repository.on('beforeRequest', (action, esParams, args) => {
if (process.env.NODE_ENV !== 'production') {
esParams.explain = true;
}
});
`

2. In case of find method replace index for alias

`typescript
repository.on('beforeRequest', (action, esParams, args) => {
if (action === 'find') {
esParams.index = 'elastic_index_alias_read';
}
});
``