Ta yaya indexes, documents da mappings suke da alaƙa?

Question

IT Interview Practice · Accepted Answer

Ka ɗauki index a matsayin tarin records, document a matsayin record na JSON ɗaya, mapping kuma a matsayin ƙa'idodin fassara fields ɗinsa.

## Fara da samfur ɗaya

```json
{"name":"Blue shoes","price":120,"created_at":"2026-09-20"}
```

Wannan document yana cikin index na `products`. Mapping ɗinsa zai iya bayyana `name` a matsayin rubutu da ake bincika, `price` a matsayin lamba, `created_at` kuma a matsayin kwanan wata.

## Dalilin muhimmancin nau'in fields

Ka ɗauka kana neman kayayyaki masu farashin ƙasa da 200. `price` na lamba yana bari Elasticsearch ya kwatanta lambobi. Sigar string tana amfani ga wasu kwatance kuma ba ta dace da maye gurbin numeric range queries ba.

Saboda haka input ɗaya yana buƙatar mapping da aka zaɓa daga irin binciken da kake son tallafawa. JSON kaɗai ba ya bayyana duk halayyar indexing.

## Zaɓi ƙa'idoji bayyanannu ga fields masu muhimmanci

Dynamic mapping yana gane fields kai tsaye lokacin da data ta iso. Wannan yana da sauƙi ga binciken farko, amma wata ƙima ta farko da ba a zata ba na iya kafa nau'in da bai dace ba. Bayyana sanannun production fields a fili kuma sarrafa sabbin sunayen fields na bazata.

Ƙara field ya bambanta da canja nau'in field da yake akwai. Na biyun yawanci yana buƙatar ƙirƙirar sabon index da kwafe documents zuwa gare shi ta reindexing.

[Takardun hukuma](https://www.elastic.co/docs/manage-data/data-store/mapping).

Fara da samfur ɗaya

Dalilin muhimmancin nau'in fields

Zaɓi ƙa'idoji bayyanannu ga fields masu muhimmanci

Tambayoyi masu alaƙa