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Supports most queries that make sense within the context of ES and also provides support for custom operations. Zero dep","maintainers":[{"name":"jayalfredprufrock","email":"jayalfredprufrock@gmail.com"}],"readme":"# MongoES\n\nMeet the tiny and tasty TypeScript library for best-effort conversion of MongoDB search queries into equivalent ElasticSearch queries.\nSupports most queries that make sense within the context of ES and also provides support for custom operations. Zero dependencies.\n\n```sh\nnpm i @jayalfredprufrock/mongoes\n```\n\n## Usage\n\n```ts\nimport { convertQuery } from 'mongoes';\n\nconst query = convertQuery({\n    $and: [\n        { type: 'fruit' },\n        {\n            $or: [{ name: 'mango' }, { name: 'el mango' }],\n        },\n    ],\n});\n\n// query\n// {\n//    bool: {\n//        must: [\n//            { term: { type: 'fruit' } },\n//            {\n//                bool: {\n//                    should: [\n//                          { term: { name: 'mango' } },\n//                          { term: { name: 'el mango' } }\n//                    ],\n//                    minimum_should_match: 1\n//                },\n//            },\n//        ],\n//    },\n// }\n```\n\n## Built-in Operators\n\nSee [MongoDb docs](https://www.mongodb.com/docs/manual/reference/operator/query/) for a list of operators and options. Also check out the [sift.js](https://github.com/crcn/sift.js#readme) library, which provides support for evaluating/filtering in-memory objects using this same mongo-style syntax. A major motiviation for MongoES was to have a single filtering/querying syntax that could be used both against ES indexes and in-memory objects. This does come with caveats, as elasticsearch often relies on field mappings\nto perform coercion intelligently.\n\n## Custom Operators\n\nOOTB, mongoes includes a few operators that aren't a part of the MongoDB query specification:\n\n-   `$like` (`$unlike`) - Maps to [ES Wildcard](https://www.elastic.co/guide/en/elasticsearch/reference/current/query-dsl-wildcard-query.html)\n    queries. Both `*` and `%` can be used to match zero or more characters, while `?` can be used to match exactly one character.\n    Like the `$regex` operator, set `$options` to \"i\" to set the ES option `case_insensitive` to true. Note that exactly how\n    ElasticSearch treats case sensitivity is also dependent on the underlying field mapping.\n-   `$includes` (`$excludes`) - Shorthand for `{ $like: '*{search}*'}`. May eventually use a more optimized approach for text fields.\n-   `$prefix` - Maps to [ES Prefix](https://www.elastic.co/guide/en/elasticsearch/reference/current/query-dsl-prefix-query.html)\n    queries. Similar to `$like`, supports passing \"i\" to `$options` for case insensitivity.\n-   `$ids` - Maps to ES \"ids\" query. The operand is an array of document \\_ids. The field name is not used when constructing the ES\n    query, however it is used to specify a document-level id field for supporting Sift queries.\n-   `$empty` (`$nempty`) - Works just like `$exists`, but does not consider empty strings (after trimming) to exist.\n-   `$between` - Shorhand for combining `<` and `>`. The operand is a tuple, `[min, max]`. By default it is inclusive. Use `$options: { exclusive: true }`\n    to perform an exclusive comparison. Pass `min` or `max` instead of `true` to control each operand individually.\n\nAdditionally, users can create their own custom operations by including an object of operator functions:\n\n```ts\nconst operators = {\n    $fuzz: (field: string, operand: string, options?: { fuzziness?: number | 'AUTO' }) => {\n        return { fuzzy: { [field]: { value: operand, ...options } } };\n    },\n};\n\nconst query = convertQuery({ name: { $fuzz: 'Mangeos', $options: { fuzziness: 2 } } }, { operators });\n\n// query\n// {\n//    bool: {\n//        must: {\n//            fuzzy: {\n//                name: {\n//                    value: 'Mangeos',\n//                    fuzziness: 2\n//                }\n//            }\n//        }\n//    }\n//}\n```\n\n### Sift Filters\n\nFor those using this library alongside [sift.js](https://github.com/crcn/sift.js#readme), mongoes exports a set of custom sift.js operators providing support for the custom operators this library ships with. It also overrides the comparative operators so that they behave more like elasticsearch, including support for date math.\n\nTo use, begin by making sure sift.js is installed:\n\n```sh\nnpm i sift\n```\n\nThen either import and use the wrapped sift directly:\n\n```ts\nimport { sift } from '@jayalfredprufrock/mongoes/sift';\n\nconst sifter = sift({ name: { $like: 'M?ngoes' } });\n\nsifter({ name: 'Mangoes' }); // true\n```\n\nor use siftCustomOperations to construct your own:\n\n```ts\nimport sift from 'sift';\nimport { siftCustomOperations } from '@jayalfredprufrock/mongoes/sift';\n\nconst sifter = sift({ name: { $like: 'M?ngoes' } }, { operations: siftCustomOperations });\n\nsifter({ name: 'Mongoes' }); // true\n```\n\n### Date Math\n\nThis library does its best to reasonably replicate elasticsearch behavior when working with date range queries, including\nsupporting date math expressions in the filter operand. Without explicit field mappings though, there are situations where\ncoercion rules cannot be reliably applied. Do not rely on having perfectly matched behavior unless you have explicitly tested\nyour specific expression requirements.\n\n```ts\nconst sifter = sift({ createdAt: { $gt: 'now-1y/d' } });\n\nsifter({ createdAt: Date.now() }); //true\n```\n\n## Notes\n\n-   Assumes valid mongodb queries. No guarantees about what is returned/thrown for invalid mongodb queries. Please create an issue\n    if there is specific invalid syntax that you think should be handled differently at runtime.\n-   Implicit equals query with undefined operands are ignored, since elasticsearch doesn't have the concept of undefined values.\n    Note that this behavior is different than sift, which uses strict equality and can filter objects with undefined values.\n-   Uses term queries for all text related operators. Might provide support for \"match\" queries if there is interest.\n-   Not all operators translate cleanly to ES. The following operators are unsupported: `$where`, `$type`, `$size`, `$mod`\n-   `$elemMatch` translates to a nested query\n-   `$or` queries always translate into `should` + `minimum_should_match=1`. This allows adjacent $and operators (including implicit)\n    to work as expected.\n-   No guarantee about the syntactical stability of queries to allow future optimizations without a major version bump\n-   Some attempt made to produce compact representations: e.g. removes redundant `{ bool: { must: { bool: exp }}}`\n-   Queries involving regular expressions or wildcards (i.e. `$regex`, `$like`, `$prefix`, etc. ) should be used sparingly since\n    they are significantly more expensive than simpler query operators.\n-   Lucene's regex engine (mostly PCRE) is not fully compatible with JavaScript's. Of particular note:\n    -   only support for `i` flag (case insensitive)\n    -   no support for `^` and `$` (start/end anchors)\n","readmeFilename":"README.md"}