ES
Package es provides an Elasticsearch query DSL.
About
The use of Go "dot imports" is discouraged, however I'd recommend abstracting this logic into higher level query functions and packages if you'd like to utilize the expressiveness of dot imports in this scenario. I wouldn't recommend dot-importing it into other packages directly.
Example
Lispy
If you don't mind crazy nesting:
query := Pretty(Query(
Aggs(
Agg("results",
Filter(
Term("user.login", "tj"),
Range("now-7d", "now"),
)(
Aggs(
Agg("repos",
Terms("repository.name.keyword", 100),
Aggs(
Agg("labels",
Terms("issue.labels.keyword", 100),
Aggs(
Agg("duration_sum", Sum("duration"))))))))))))
Less lispy
If you do mind crazy nesting:
labels := Aggs(
Agg("labels",
Terms("issue.labels.keyword", 100),
Aggs(
Agg("duration_sum",
Sum("duration")))))
repos := Aggs(
Agg("repos",
Terms("repository.name.keyword", 100),
labels))
filter := Filter(
Term("user.login", "tj"),
Range("now-7d", "now"))
results := Aggs(
Agg("results",
filter(repos)))
query := Pretty(Query(results))
Both yielding:
{
"aggs": {
"results": {
"aggs": {
"repos": {
"aggs": {
"labels": {
"aggs": {
"duration_sum": {
"sum": {
"field": "duration"
}
}
},
"terms": {
"field": "issue.labels.keyword",
"size": 100
}
}
},
"terms": {
"field": "repository.name.keyword",
"size": 100
}
}
},
"filter": {
"bool": {
"filter": [
{
"term": {
"user.login": "tj"
}
},
{
"range": {
"timestamp": {
"gte": "now-7d",
"lte": "now"
}
}
}
]
}
}
}
},
"size": 0
}
Reuse
This also makes reuse more trivial, for example note how sum
is re-used in the following snippet to fetch global, daily, and label-level summation.
sum := Agg("duration_sum", Sum("duration"))
labels := Agg("labels",
Terms("issue.labels.keyword", 100),
Aggs(sum))
days := Agg("days",
DateHistogram("1d"),
Aggs(sum, labels))
query := Query(Aggs(sum, labels, days))
Yielding:
{
"aggs": {
"days": {
"aggs": {
"duration_sum": {
"sum": {
"field": "duration"
}
},
"labels": {
"aggs": {
"duration_sum": {
"sum": {
"field": "duration"
}
}
},
"terms": {
"field": "issue.labels.keyword",
"size": 100
}
}
},
"date_histogram": {
"field": "timestamp",
"interval": "1d"
}
},
"duration_sum": {
"sum": {
"field": "duration"
}
},
"labels": {
"aggs": {
"duration_sum": {
"sum": {
"field": "duration"
}
}
},
"terms": {
"field": "issue.labels.keyword",
"size": 100
}
}
},
"size": 0
}