Ta yaya ake hanzarta bulk indexing ba tare da yi wa cluster nauyi ba?

Question

IT Interview Practice · Accepted Answer

Bulk yana aika indexing operations da yawa cikin buƙata ɗaya. Inganta yawan operations masu nasara tare da barin cluster mai saurin amsawa, maimakon ƙara adadin buƙatun da aka aika kawai.

## Daidaita abu ɗaya a lokaci guda

Fara da ƙananan batches na representative documents. Ƙara batch bytes har throughput ya daina inganta ko memory da latency su tabarbare. Sannan daidaita adadin masu aikawa lokaci guda daban. Ƙananan events dubu da manyan documents dubu batches ne masu bambanci sosai.

## Amsar HTTP mai nasara na iya ƙunsar items da suka gaza

Yi la'akari da wannan sauƙaƙaƙƙiyar amsar bulk ta misali:

```json
{
  "errors": true,
  "items": [
    {"index":{"_id":"a","status":201}},
    {"index":{"_id":"b","status":429}},
    {"index":{"_id":"c","status":400}}
  ]
}
```

- Item a ya yi nasara; kada ka sake tura shi kawai saboda wani item ya gaza.
- Binciki cikakken error na b. Ƙin saboda nauyi na ɗan lokaci yana buƙatar rage gudu da retry mai iyaka bayan jira.
- Binciki bayanin c ma. Mapping error na dindindin yana buƙatar gyaran data ko mapping, ba retries marasa ƙarewa ba.

## Hana retries zama wani nauyi

Ƙara lokacin jinkirin retry a hankali kuma ka ƙara random offset don kada clients duk su sake gwadawa tare. Iyakance queue kuma ka rage saurin producers idan ta cika; wannan shi ne backpressure.

Bayan sakamakon network marar tabbas, stable document IDs suna taimaka wa kauce wa duplicate records, amma scripted increments da stale updates suna buƙatar ƙarin kariya. Lura da rejected writes, memory, disk da search latency. Rage refresh frequency ne kawai idan samfurin ya yarda da ɗan jinkirin bayyanar data a bincike.

[Takardun hukuma](https://www.elastic.co/docs/deploy-manage/production-guidance/optimize-performance/indexing-speed).

Daidaita abu ɗaya a lokaci guda

Amsar HTTP mai nasara na iya ƙunsar items da suka gaza

Hana retries zama wani nauyi

Tambayoyi masu alaƙa