Query

Below queries use data from kaggle

Grep documents

query all

return all of index's documents. default return 10 documents.

also response has total document count. but not perfect.

GET news_headlines/_search

...
"hits": {
    "total": 10000,
    "relation": "gte"
    },
...

track_total_hits

order query to tracking all hit documents.

GET news_headlines/_search
{
    "track_total_hits": true
}

...
"hits": {
    "total": {
        "value": 200853,
        "relation": "eq"
    },
...

now we can see property relation's value gonna eq as equal.

Make boundaries

Range

return documents write down 2015 and between "06-20" and "09-22"

GET news_headlines/_search
{
    "query": {
        "range": {
            "date": {
                "gte": "2015-06-20",
                "lte": "2015-09-22"
            }
        }
    }
}

Aggregations

return documents about "category"

GET news_headlines/_search
{
  "aggs": {
    "by_category": {
      "terms": {
        "field": "category",
        "size": 100
      }
    }
  }
}

This time we do not check property "hits". check "aggregations"

response like below:

"hits": { ... },
"aggregations": {
    "by_category": {
        "doc_count_error_upper_bound": 0,
        "sum_other_doc_count": 80845,
        "buckets": [
        {
            "key": "POLITICS",
            "doc_count": 32739
        },
        {
            "key": "WELLNESS",
            "doc_count": 17827
        },
...

and next, let's combine query and aggregation.