esquery/README.md
Ido Perlmuter 8e5dea816b
Add Search() function, two new aggregations (#7)
This commit implements a Search() function, which allow for running
search requests with both a query and aggregations. This function is
meant to more accurately implement the structure of search requests
accepted by ElasticSearch's Search API.

The Query() and Aggregate() functions are still included by the library,
but now simply call Search() internally, making them simple shortcuts.

Two new aggregations are also added: "terms" and "top_hits". These are
implemented a bit differently than previously implemented ones. The
structs and methods for ElasticSearch queries and aggregations will
eventually be auto-generated from a specification file, and will look
more like the new implementations of these new aggregations.
2020-04-06 12:03:42 +03:00

168 lines
6.0 KiB
Markdown

# esquery
[![](https://img.shields.io/static/v1?label=godoc&message=reference&color=blue&style=flat-square)](https://godoc.org/github.com/aquasecurity/esquery) [![](https://img.shields.io/github/license/aquasecurity/esquery?style=flat-square)](LICENSE) [![Build Status](https://travis-ci.org/aquasecurity/esquery.svg?branch=master)](https://travis-ci.org/aquasecurity/esquery)
**A non-obtrusive, idiomatic and easy-to-use query and aggregation builder for the [official Go client](https://github.com/elastic/go-elasticsearch) for [ElasticSearch](https://www.elastic.co/products/elasticsearch).**
## Table of Contents
<!--ts-->
* [Description](#description)
* [Status](#status)
* [Installation](#installation)
* [Usage](#usage)
* [Notes](#notes)
* [Features](#features)
* [Supported Queries](#supported-queries)
* [Supported Aggregations](#supported-aggregations)
* [Custom Queries and Aggregations](#custom-queries-and-aggregations)
* [License](#license)
<!--te-->
## Description
`esquery` alleviates the need to use extremely nested maps (`map[string]interface{}`) and serializing queries to JSON manually. It also helps eliminating common mistakes such as misspelling query types, as everything is statically typed.
Using `esquery` can make your code much easier to write, read and maintain, and significantly reduce the amount of code you write. Wanna know how much code you'll save? just check this project's tests.
## Status
This is an early release, API may still change.
## Installation
`esquery` is a Go module. To install, simply run this in your project's root directory:
```bash
go get github.com/aquasecurity/esquery
```
## Usage
esquery provides a [method chaining](https://en.wikipedia.org/wiki/Method_chaining)-style API for building and executing queries and aggregations. It does not wrap the official Go client nor does it require you to change your existing code in order to integrate the library. Queries can be directly built with `esquery`, and executed by passing an `*elasticsearch.Client` instance (with optional search parameters). Results are returned as-is from the official client (e.g. `*esapi.Response` objects).
Getting started is extremely simple:
```go
package main
import (
"context"
"log"
"github.com/aquasecurity/esquery"
"github.com/elastic/go-elasticsearch/v7"
)
func main() {
// connect to an ElasticSearch instance
es, err := elasticsearch.NewDefaultClient()
if err != nil {
log.Fatalf("Failed creating client: %s", err)
}
// run a boolean search query
res, err := esquery.Search().
Query(
esquery.
Bool().
Must(esquery.Term("title", "Go and Stuff")).
Filter(esquery.Term("tag", "tech")),
).
Aggs(
esquery.Avg("average_score", "score"),
esquery.Max("max_score", "score"),
).
Size(20).
Run(
es,
es.Search.WithContext(context.TODO()),
es.Search.WithIndex("test"),
)
if err != nil {
log.Fatalf("Failed searching for stuff: %s", err)
}
defer res.Body.Close()
// ...
}
```
## Notes
* `esquery` currently supports version 7 of the ElasticSearch Go client.
* The library cannot currently generate "short queries". For example, whereas
ElasticSearch can accept this:
```json
{ "query": { "term": { "user": "Kimchy" } } }
```
The library will always generate this:
```json
{ "query": { "term": { "user": { "value": "Kimchy" } } } }
```
This is also true for queries such as "bool", where fields like "must" can
either receive one query object, or an array of query objects. `esquery` will
generate an array even if there's only one query object.
## Features
### Supported Queries
The following queries are currently supported:
| ElasticSearch DSL | `esquery` Function |
| ------------------------|---------------------- |
| `"match"` | `Match()` |
| `"match_bool_prefix"` | `MatchBoolPrefix()` |
| `"match_phrase"` | `MatchPhrase()` |
| `"match_phrase_prefix"` | `MatchPhrasePrefix()` |
| `"match_all"` | `MatchAll()` |
| `"match_none"` | `MatchNone()` |
| `"exists"` | `Exists()` |
| `"fuzzy"` | `Fuzzy()` |
| `"ids"` | `IDs()` |
| `"prefix"` | `Prefix()` |
| `"range"` | `Range()` |
| `"regexp"` | `Regexp()` |
| `"term"` | `Term()` |
| `"terms"` | `Terms()` |
| `"terms_set"` | `TermsSet()` |
| `"wildcard"` | `Wildcard()` |
| `"bool"` | `Bool()` |
| `"boosting"` | `Boosting()` |
| `"constant_score"` | `ConstantScore()` |
| `"dis_max"` | `DisMax()` |
### Supported Aggregations
The following aggregations are currently supported:
| ElasticSearch DSL | `esquery` Function |
| ------------------------|---------------------- |
| `"avg"` | `Avg()` |
| `"weighted_avg"` | `WeightedAvg()` |
| `"cardinality"` | `Cardinality()` |
| `"max"` | `Max()` |
| `"min"` | `Min()` |
| `"sum"` | `Sum()` |
| `"value_count"` | `ValueCount()` |
| `"percentiles"` | `Percentiles()` |
| `"stats"` | `Stats()` |
| `"string_stats"` | `StringStats()` |
| `"top_hits"` | `TopHits()` |
| `"terms"` | `TermsAgg()` |
#### Custom Queries and Aggregations
To execute an arbitrary query or aggregation (including those not yet supported by the library), use the `CustomQuery()` or `CustomAgg()` functions, respectively. Both accept any `map[string]interface{}` value.
## License
This library is distributed under the terms of the [Apache License 2.0](LICENSE).