An idiomatic Go query builder for ElasticSearch https://github.com/aquasecurity/esquery.git
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Add documentation, fix small bugs, improve CustomQuery (#6)
This commit performs the following modifications:

- The library is properly documented in Godoc format.

- The CustomQuery function is made to be a bit more versatile by
  allowing it to also be used standalone (i.e. instead of passing a
  `CustomQuery` as a parameter to the `Query` function, they now have
  their own `Run` method).

- Queries and aggregations can now also be executed using the
  `RunSearch` method. This method is the same as the `Run` method,
  except that instead of an `*elasticSearch.Client` value, it accepts an
  `esapi.Search` value. This is provided for consuming code that needs
  to implement mock clients of ElasticSearch (e.g. for test purposes).
  The ElasticSearch client does not provide an interface type describing
  its API, so its Search function (which is actually a field of a
  function type) can be used instead.

- Bugfix: the CustomAgg function was unusable as it did not accept a
  name parameter and thus did not implement the Aggregation interface.

- Bugfix: the enumeration types are rewritten according to Go standards,
  and the `RangeRelation` type's default value is now empty.

- The golint and godox linters are added.
2020-02-27 16:19:56 +02:00
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query_constant_score.go Add documentation, fix small bugs, improve CustomQuery (#6) 2020-02-27 16:19:07 +02:00
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README.md

esquery

Build Status

A non-obtrusive, idiomatic and easy-to-use query and aggregation builder for the official Go client for ElasticSearch.

Table of Contents

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:

go get github.com/aquasecurity/esquery

Usage

esquery provides a 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:

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
	qRes, err := esquery.Query(
		esquery.
			Bool().
			Must(esquery.Term("title", "Go and Stuff")).
			Filter(esquery.Term("tag", "tech")),
    ).Run(
        es, 
		es.Search.WithContext(context.TODO()),
		es.Search.WithIndex("test"),
	)
	if err != nil {
		log.Fatalf("Failed searching for stuff: %s", err)
	}

	defer qRes.Body.Close()

	// run an aggregation
	aRes, err := esquery.Aggregate(
		esquery.Avg("average_score", "score"),
		esquery.Max("max_score", "score"),
	).Run(
		es,
		es.Search.WithContext(context.TODO()),
		es.Search.WithIndex("test"),
	)
	if err != nil {
		log.Fatalf("Failed searching for stuff: %s", err)
	}

	defer aRes.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:
{ "query": { "term": { "user": "Kimchy" } } }

The library will always generate this:

{ "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()

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.