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esquery/query_term_level.go

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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.
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package esquery
import (
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{}`.
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"github.com/fatih/structs"
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.
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)
/*******************************************************************************
* Exists Queries
* https://www.elastic.co/guide/en/elasticsearch/reference/current/query-dsl-exists-query.html
******************************************************************************/
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{}`.
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type ExistsQuery struct {
Field string `structs:"field"`
}
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.
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func Exists(field string) *ExistsQuery {
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{}`.
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return &ExistsQuery{field}
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.
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}
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{}`.
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func (q *ExistsQuery) Map() map[string]interface{} {
return map[string]interface{}{
"exists": structs.Map(q),
}
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.
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}
/*******************************************************************************
* IDs Queries
* https://www.elastic.co/guide/en/elasticsearch/reference/current/query-dsl-ids-query.html
******************************************************************************/
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{}`.
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type IDsQuery struct {
IDs struct {
Values []string `structs:"values"`
} `structs:"ids"`
}
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.
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func IDs(vals ...string) *IDsQuery {
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{}`.
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q := &IDsQuery{}
q.IDs.Values = vals
return q
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.
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}
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{}`.
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func (q *IDsQuery) Map() map[string]interface{} {
return structs.Map(q)
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.
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}
/*******************************************************************************
* Prefix Queries
* https://www.elastic.co/guide/en/elasticsearch/reference/current/query-dsl-prefix-query.html
******************************************************************************/
type PrefixQuery struct {
field string
params prefixQueryParams
}
type prefixQueryParams struct {
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{}`.
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Value string `structs:"value"`
Rewrite string `structs:"rewrite,omitempty"`
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.
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}
func Prefix(field, value string) *PrefixQuery {
return &PrefixQuery{
field: field,
params: prefixQueryParams{Value: value},
}
}
func (q *PrefixQuery) Rewrite(s string) *PrefixQuery {
q.params.Rewrite = s
return q
}
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{}`.
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func (q *PrefixQuery) Map() map[string]interface{} {
return map[string]interface{}{
"prefix": map[string]interface{}{
q.field: structs.Map(q.params),
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.
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},
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{}`.
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}
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.
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}
/*******************************************************************************
* Range Queries
* https://www.elastic.co/guide/en/elasticsearch/reference/current/query-dsl-range-query.html
******************************************************************************/
type RangeQuery struct {
field string
params rangeQueryParams
}
type rangeQueryParams struct {
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{}`.
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Gt interface{} `structs:"gt,omitempty"`
Gte interface{} `structs:"gte,omitempty"`
Lt interface{} `structs:"lt,omitempty"`
Lte interface{} `structs:"lte,omitempty"`
Format string `structs:"format,omitempty"`
Relation RangeRelation `structs:"relation,string,omitempty"`
TimeZone string `structs:"time_zone,omitempty"`
Boost float32 `structs:"boost,omitempty"`
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.
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}
func Range(field string) *RangeQuery {
return &RangeQuery{field: field}
}
func (a *RangeQuery) Gt(val interface{}) *RangeQuery {
a.params.Gt = val
return a
}
func (a *RangeQuery) Gte(val interface{}) *RangeQuery {
a.params.Gte = val
return a
}
func (a *RangeQuery) Lt(val interface{}) *RangeQuery {
a.params.Lt = val
return a
}
func (a *RangeQuery) Lte(val interface{}) *RangeQuery {
a.params.Lte = val
return a
}
func (a *RangeQuery) Format(f string) *RangeQuery {
a.params.Format = f
return a
}
func (a *RangeQuery) Relation(r RangeRelation) *RangeQuery {
a.params.Relation = r
return a
}
func (a *RangeQuery) TimeZone(zone string) *RangeQuery {
a.params.TimeZone = zone
return a
}
func (a *RangeQuery) Boost(b float32) *RangeQuery {
a.params.Boost = b
return a
}
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{}`.
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func (a *RangeQuery) Map() map[string]interface{} {
return map[string]interface{}{
"range": map[string]interface{}{
a.field: structs.Map(a.params),
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.
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},
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
}
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.
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}
type RangeRelation uint8
const (
INTERSECTS RangeRelation = iota
CONTAINS
WITHIN
)
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{}`.
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func (a RangeRelation) String() string {
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.
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switch a {
case INTERSECTS:
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{}`.
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return "INTERSECTS"
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.
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case CONTAINS:
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{}`.
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return "CONTAINS"
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.
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case WITHIN:
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{}`.
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return "WITHIN"
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.
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default:
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{}`.
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return ""
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.
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}
}
/*******************************************************************************
* Regexp Queries
* https://www.elastic.co/guide/en/elasticsearch/reference/current/query-dsl-regexp-query.html
******************************************************************************/
type RegexpQuery struct {
field string
wildcard bool
params regexpQueryParams
}
type regexpQueryParams struct {
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{}`.
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Value string `structs:"value"`
Flags string `structs:"flags,omitempty"`
MaxDeterminizedStates uint16 `structs:"max_determinized_states,omitempty"`
Rewrite string `structs:"rewrite,omitempty"`
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.
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}
func Regexp(field, value string) *RegexpQuery {
return &RegexpQuery{
field: field,
params: regexpQueryParams{
Value: value,
},
}
}
func (q *RegexpQuery) Value(v string) *RegexpQuery {
q.params.Value = v
return q
}
func (q *RegexpQuery) Flags(f string) *RegexpQuery {
if !q.wildcard {
q.params.Flags = f
}
return q
}
func (q *RegexpQuery) MaxDeterminizedStates(m uint16) *RegexpQuery {
if !q.wildcard {
q.params.MaxDeterminizedStates = m
}
return q
}
func (q *RegexpQuery) Rewrite(r string) *RegexpQuery {
q.params.Rewrite = r
return q
}
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{}`.
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func (q *RegexpQuery) Map() map[string]interface{} {
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.
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var qType string
if q.wildcard {
qType = "wildcard"
} else {
qType = "regexp"
}
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{}`.
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return map[string]interface{}{
qType: map[string]interface{}{
q.field: structs.Map(q.params),
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.
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},
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{}`.
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}
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.
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}
/*******************************************************************************
* Wildcard Queries
* https://www.elastic.co/guide/en/elasticsearch/reference/current/query-dsl-wildcard-query.html
******************************************************************************/
func Wildcard(field, value string) *RegexpQuery {
return &RegexpQuery{
field: field,
wildcard: true,
params: regexpQueryParams{
Value: value,
},
}
}
/*******************************************************************************
* Fuzzy Queries
* https://www.elastic.co/guide/en/elasticsearch/reference/current/query-dsl-fuzzy-query.html
******************************************************************************/
type FuzzyQuery struct {
field string
params fuzzyQueryParams
}
type fuzzyQueryParams struct {
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{}`.
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Value string `structs:"value"`
Fuzziness string `structs:"fuzziness,omitempty"`
MaxExpansions uint16 `structs:"max_expansions,omitempty"`
PrefixLength uint16 `structs:"prefix_length,omitempty"`
Transpositions *bool `structs:"transpositions,omitempty"`
Rewrite string `structs:"rewrite,omitempty"`
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.
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}
func Fuzzy(field, value string) *FuzzyQuery {
return &FuzzyQuery{
field: field,
params: fuzzyQueryParams{
Value: value,
},
}
}
func (q *FuzzyQuery) Value(val string) *FuzzyQuery {
q.params.Value = val
return q
}
func (q *FuzzyQuery) Fuzziness(fuzz string) *FuzzyQuery {
q.params.Fuzziness = fuzz
return q
}
func (q *FuzzyQuery) MaxExpansions(m uint16) *FuzzyQuery {
q.params.MaxExpansions = m
return q
}
func (q *FuzzyQuery) PrefixLength(l uint16) *FuzzyQuery {
q.params.PrefixLength = l
return q
}
func (q *FuzzyQuery) Transpositions(b bool) *FuzzyQuery {
q.params.Transpositions = &b
return q
}
func (q *FuzzyQuery) Rewrite(s string) *FuzzyQuery {
q.params.Rewrite = s
return q
}
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{}`.
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func (q *FuzzyQuery) Map() map[string]interface{} {
return map[string]interface{}{
"fuzzy": map[string]interface{}{
q.field: structs.Map(q.params),
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.
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},
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{}`.
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}
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.
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}
/*******************************************************************************
* Term Queries
* https://www.elastic.co/guide/en/elasticsearch/reference/current/query-dsl-term-query.html
******************************************************************************/
type TermQuery struct {
field string
params termQueryParams
}
type termQueryParams struct {
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{}`.
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Value interface{} `structs:"value"`
Boost float32 `structs:"boost,omitempty"`
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.
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}
func Term(field string, value interface{}) *TermQuery {
return &TermQuery{
field: field,
params: termQueryParams{
Value: value,
},
}
}
func (q *TermQuery) Value(val interface{}) *TermQuery {
q.params.Value = val
return q
}
func (q *TermQuery) Boost(b float32) *TermQuery {
q.params.Boost = b
return q
}
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{}`.
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func (q *TermQuery) Map() map[string]interface{} {
return map[string]interface{}{
"term": map[string]interface{}{
q.field: structs.Map(q.params),
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.
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},
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{}`.
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}
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
}
/*******************************************************************************
* Terms Queries
* https://www.elastic.co/guide/en/elasticsearch/reference/current/query-dsl-terms-query.html
******************************************************************************/
type TermsQuery struct {
field string
values []interface{}
boost float32
}
func Terms(field string, values ...interface{}) *TermsQuery {
return &TermsQuery{
field: field,
values: values,
}
}
func (q *TermsQuery) Values(values ...interface{}) *TermsQuery {
q.values = values
return q
}
func (q *TermsQuery) Boost(b float32) *TermsQuery {
q.boost = b
return q
}
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{}`.
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func (q TermsQuery) Map() map[string]interface{} {
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.
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innerMap := map[string]interface{}{q.field: q.values}
if q.boost > 0 {
innerMap["boost"] = q.boost
}
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{}`.
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return map[string]interface{}{"terms": innerMap}
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.
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}
/*******************************************************************************
* Term Set Queries
* https://www.elastic.co/guide/en/elasticsearch/reference/current/query-dsl-terms-set-query.html
******************************************************************************/
type TermsSetQuery struct {
field string
params termsSetQueryParams
}
type termsSetQueryParams struct {
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
Terms []string `structs:"terms"`
MinimumShouldMatchField string `structs:"minimum_should_match_field,omitempty"`
MinimumShouldMatchScript string `structs:"minimum_should_match_script,omitempty"`
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
}
func TermsSet(field string, terms ...string) *TermsSetQuery {
return &TermsSetQuery{
field: field,
params: termsSetQueryParams{
Terms: terms,
},
}
}
func (q *TermsSetQuery) Terms(terms ...string) *TermsSetQuery {
q.params.Terms = terms
return q
}
func (q *TermsSetQuery) MinimumShouldMatchField(field string) *TermsSetQuery {
q.params.MinimumShouldMatchField = field
return q
}
func (q *TermsSetQuery) MinimumShouldMatchScript(script string) *TermsSetQuery {
q.params.MinimumShouldMatchScript = script
return q
}
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{}`.
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func (q TermsSetQuery) Map() map[string]interface{} {
return map[string]interface{}{
"terms_set": map[string]interface{}{
q.field: structs.Map(q.params),
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
},
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
}
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
}