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esquery/go.mod

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Improve README Add shields, TOC and more information to the README file.
2020-02-20 09:39:31 +00:00
module github.com/aquasecurity/esquery
Initial commit This commit is the initial commit for a Go library providing an idiomatic, easy-to-use query builder for ElasticSearch. The library can build queries and execute them using the structures from the official Go SDK provided by the ES project (https://github.com/elastic/go-elasticsearch). The library currently provides the capabilities to create and execute simple ElasticSearch queries, specifically Match queries (match, match_bool_prefix, match_phrase and match_phrase_prefix), Match All queries (match_all, match_none), and all of the Term-level queries (e.g. range, regexp, etc.). Unit tests are included for each support query, and the code is linted using golangci-lint (see enabled linters in .golangci-lint). The unit tests currently only verify the builder creates valid JSON queries and does not attempt to actually run queries against a (mock) ES instance.
2020-02-18 12:00:15 +00:00
go 1.13
Add Search() function, README and fix some lint errors This commit changes the internal `search()` function into an exposed `Search()` function that can be used to execute queries against an instance of an ElasticSearch client. The per-query-type methods of `Run()` are removed for now to prevent having to create them for every type. `Search()` is agnostic. A README.md file is added with some information, and a few lingering lint errors are fixed.
2020-02-18 16:43:19 +00:00
require (
github.com/elastic/go-elasticsearch/v7 v7.6.0
Refactor API, add aggregations and custom queries This commit introduces a refactor of the codebase and the API, to make it more user friendly. Queries can now directly be executed via the `Run()` method. Internally, the library no longer uses JSON generation as a major mechanism, instead all types need to implement a `Mappable` interface which simply turns each type in a `map[string]interface{}`, which is what the ElasticSearch client expects. This makes the code easier to write, and makes writing tests less error prone, as JSON need not be written directly. Support for metrics aggregations is also added. However, aggregations of type bucket, pipeline and matrix are not supported yet. To make the library more useful in its current state, support is added for running custom queries and aggregations, via the `CustomQuery()` and `CustomAgg()` functions, which both accepts an arbitrary `map[string]interface{}`.
2020-02-19 11:35:21 +00:00
github.com/fatih/structs v1.1.0
Bugfix: Run() fails for queries, add MarshalJSON() The `Run()` method on the `QueryRequest` type would fail, since it would encode the _inner_ body of the query to JSON and not the complete, outer body (i.e. including the "body: {}" portion). The commit also adds `MarshalJSON()` methods to both `QueryRequest` and `AggregationRequest`, allowing them to implement the `json.Marshaller` interface, and providing easier debugging of the library. A test skeleton for this is also added.
2020-02-20 14:45:08 +00:00
github.com/jgroeneveld/schema v1.0.0 // indirect
github.com/jgroeneveld/trial v2.0.0+incompatible
Add Search() function, README and fix some lint errors This commit changes the internal `search()` function into an exposed `Search()` function that can be used to execute queries against an instance of an ElasticSearch client. The per-query-type methods of `Run()` are removed for now to prevent having to create them for every type. `Search()` is agnostic. A README.md file is added with some information, and a few lingering lint errors are fixed.
2020-02-18 16:43:19 +00:00
)