Safely Construct Elasticsearch Queries w/Golang

taqkarim

Taq Karim

Posted on December 16, 2020

Safely Construct Elasticsearch Queries w/Golang

TL; DR: ya boy wrote a golang elasticsearch query dsl utility. Find it here!


The Why

If you've used elasticsearch with golang, then you've probably used the official elasticsearch go client.

The es go client is exhaustive and generally, pretty great. However, it can be a bit...scary when having to deal with constructing search queries using the elasticsearch query dsl

Take for instance the following (from here in the docs):

GET /_search
{
  "query": { 
    "bool": { 
      "must": [
        { "match": { "title":   "Search"        }},
        { "match": { "content": "Elasticsearch" }}
      ],
      "filter": [ 
        { "term":  { "status": "published" }},
        { "range": { "publish_date": { "gte": "2015-01-01" }}}
      ]
    }
  }
}
Enter fullscreen mode Exit fullscreen mode

Using strings

In my experience, the simplest/fastest way to construct this json string is with...well, a string:

elasticQuery := `
{
  "query": { 
    "bool": { 
      "must": [
        { "match": { "title":   "Search"        }},
        { "match": { "content": "Elasticsearch" }}
      ],
      "filter": [ 
        { "term":  { "status": "published" }},
        { "range": { "publish_date": { "gte": "2015-01-01" }}}
      ]
    }
  }
}
`
Enter fullscreen mode Exit fullscreen mode

If we need to inject variable values, we just use fmt.Sprintf and move on with our lives. The primary issue here is that validating/formatting these json strings require additional work and can be error prone (ie: fat-fingering an additional comma somewhere, etc).

Using (use-case specific) structs

The other approach would be to make everything hyper specific and create structs / custom marshal-ers that would generate the query DSL json format when json.Marshal is called (on said custom struct(s)).

This approach requires creating custom structs and code for the sole purpose of building these queries. (This may work for certain usecases! But, it also means more code and therefore additional maintenance and more trouble translating to other projects).

What does Google say?

The best "documentation"/support I could find through google-fu was this article that also just suggested building a json string and crossing your fingers.

(excerpt from the blog post above):

func constructQuery(q string, size int) *strings.Reader {

    // Build a query string from string passed to function
    var query = `{"query": {`

    // Concatenate query string with string passed to method call
    query = query + q

    // Use the strconv.Itoa() method to convert int to string
    query = query + `}, "size": ` + strconv.Itoa(size) + `}`
    fmt.Println("\nquery:", query)

    // Check for JSON errors
    isValid := json.Valid([]byte(query)) // returns bool

    // Default query is "{}" if JSON is invalid
    if isValid == false {
        fmt.Println("constructQuery() ERROR: query string not valid:", query)
        fmt.Println("Using default match_all query")
        query = "{}"
    } else {
        fmt.Println("constructQuery() valid JSON:", isValid)
    }

    // Build a new string from JSON query
    var b strings.Builder
    b.WriteString(query)

    // Instantiate a *strings.Reader object from string
    read := strings.NewReader(b.String())

    // Return a *strings.Reader object
    return read
}
Enter fullscreen mode Exit fullscreen mode

Finally, there was this issue on the go elasticsearch client from 2019:

This package is intentionally a low-level client, while olivere/elastic is a high-level client with extensions for building the requests and deserializing the responses. We are aiming for offering a more high-level API in the future, but — as I've indicated in other tickets — no sooner than a machine-readable, formal specification of the request and response bodies is available.

Moreover (and awesomely, that comment thread has a gem of a code snippet):

// BoolQuery Elastic bool query
type BoolQuery struct {
    Bool BoolQueryParams `json:"bool"`
}

// BoolQueryParams params for an Elastic bool query
type BoolQueryParams struct {
    Must               interface{} `json:"must,omitempty"`
    Should             interface{} `json:"should,omitempty"`
    Filter             interface{} `json:"filter,omitempty"`
    MinimumShouldMatch int         `json:"minimum_should_match,omitempty"`
}
Enter fullscreen mode Exit fullscreen mode

that looks very similar to what I've ended up with (wish I had seen this first, heh) as I tackled this problem.

Regardless the main point is this:

Currently there isn't an easy way to define query DSL json strings for use with the elasticsearch go client.

And - for good reason perhaps - the official client looks like it will not support such a feature anytime soon.

package esquerydsl

For all these reasons, I decided to build a simple, dependency less (aside from go stdlib deps) utility that generically defines structs to build queryDSL json strings.

Here's an example (playground)

package main

import (
    "fmt"

    "github.com/mottaquikarim/esquerydsl"
)

func main() {
    _, body, _ := esquerydsl.GetQueryBlock(esquerydsl.QueryDoc{
        Index: "some_index",
        Sort:  []map[string]string{map[string]string{"id": "asc"}},
        And: []esquerydsl.QueryItem{
            esquerydsl.QueryItem{
                Field: "some_index_id",
                Value: "some-long-key-id-value",
                Type:  "match",
            },
        },
    })
    fmt.Println(body)
}
Enter fullscreen mode Exit fullscreen mode

The output:

{
  "query": {
    "bool": {
      "must": [
        {
          "match": {
            "some_index_id": "some-long-key-id-value"
          }
        }
      ]
    }
  },
  "sort": [
    {
      "id": "asc"
    }
  ]
}
Enter fullscreen mode Exit fullscreen mode

(Find more examples in tests, including the initial queryDSL example referenced at the top of this post here)

PRs welcome! Especially re: unittests such that documentation coverage is increased. If you use this lib and it is useful, do let me know please!

Happy querying, fam 👍

💖 💪 🙅 🚩
taqkarim
Taq Karim

Posted on December 16, 2020

Join Our Newsletter. No Spam, Only the good stuff.

Sign up to receive the latest update from our blog.

Related

Safely Construct Elasticsearch Queries w/Golang
elasticsearch Safely Construct Elasticsearch Queries w/Golang

December 16, 2020