Snap - an Elasticsearch client for Elixir

engineeringdept

I’ve just released the first version of Snap, an Elasticsearch client. It borrows ideas about application structure and process management from Ecto, as well as a DSL-free nature and zero-downtime index management from Elasticsearch.

It adds support for using Streams to perform bulk operations against an index, as well as emitting Telemetry events.

It’s new and probably not production ready yet. I expect to introduce it into a production environment in the coming weeks, and expect some changes will follow.

Please feel free to kick the tyres on it, and see if it’s useful for you. Feedback welcome!

8 comments

#library #elastic_search #search

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2023-11-13 11:07:05 UTC

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cenotaph

Did you make any further progress on this?

Post #1

engineeringdept

Hi there - the library is in production use and has been actively developed since my posting. I believe other people are also using it now.

Post #2

Werner

Am looking for an Elasticsearch library, which ones are currently in productive use and under active development? At the moment probably the above mentioned Snap and Elasticsearch or not?

What are the main differences between these two?
Thanks and best regards,
Werner.

Post #3

engineeringdept

I’ve just released 0.5.0 which includes a bunch of improvements since my last post from other users of the library - see the CHANGELOG. Thanks to everyone who has contributed!

Post #4

engineeringdept

0.6.0 is out which supports the ability to swap HTTP clients, allowing mock HTTP clients for testing, or to use your preferred HTTP client for whatever reason. It still defaults to using Finch.

Full changelog here: snap/CHANGELOG.md at main · breakroom/snap · GitHub

Post #5

bdarla

Is there a way to query elasticsearch by mixing slop and wildcards for full-text search?
I mean to make a query such “(comput* inform*)~5” and return documents that comprise words such as computer and information wherein they appear close to each other in the text, i.e. maximum 5 words distance.

Post #6

bdarla

I managed to find out how to draft such queries. In case someone might also needs to make such queries, I provide an example below, that can be provided to Snap:

query = %{
      query: %{
        span_near: %{
          clauses: [
            %{
              span_multi: %{
                match: %{
                  wildcard: %{
                    "doc.values.description": %{
                      value: "comput*"
                    }
                  }
                }
              }
            },
            %{
              span_multi: %{
                match: %{
                  wildcard: %{
                    "doc.values.description": %{
                      value: "inform*"
                    }
                  }
                }
              }
            }
          ],
          slop: 14,
          in_order: false
        }
      }
    }

Post #7

engineeringdept

I’ve just released Snap 0.9.0, which adds support for the Document API in Snap.Document, exposes a Snap.Search.count function for counting documents in an index, and some quality of life and testing improvements with an index namespacing feature.

The index namespacing feature allows a Snap.Cluster to be isolated on a per-application or per-environment basis so you can have your dev environment indexes be prefixed with dev- and your test environment be prefixed with test- etc.

It also allows us to isolate indexes on a per-process basis, which enables asynchronous tests to be isolated from each other, so they operate on their own view of the cluster’s indexes. This is similar to how Ecto sandboxing works, but within the constraints of ElasticSearch/OpenSearch which doesn’t support transactions.

This makes it possible to set async: true in your tests which is often a nice performance improvement.

I’m really open to feedback on this API - let me know if it does what you expect, in the way you expect it!

For more details see Snap.Cluster.Namespace and Snap.Test.

Post #8

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