Elasticsearch Study Notes (i)

Batch Build Index:

Curl-s-xpost ' Localhost:9200/_bulk '--data-binary @documents. JSON

Paging:

From, size

Back to version:

"Version": True

To limit the result set with a score:

"Min_score": 0.75

Field:* return all fields

_source field:

When requesting a field that is not stored, this field is extracted from the _source field (additional processing is required); Returning the _source field performs better than returning multiple storage fields

Partial fields: (Exclude fields)

"Partial_fields": {"Partial1": {"include": [' titl* '], "exclude": ["chara*"]}}

Script fields:

{"Scirpt_fields": {"correctyear": {"script": "doc[' Year '].value-1800"}}} or "Script": "_source.year-1800" (Save memory, support more complex field values)

Pass parameter to script: "params": {"paramyear": 1800} then "script": "_source.year-paramyear"}

Search Execution Preferences: (Control which shards to execute queries on, such as: _primary, _primary_first, _shards)

Curl-xget ' localhost:9200/library/_search?preference=_local '-D JSON

Search Shard API: (This API allows you to check the shards that will execute the query)

Curl-xget ' Localhost:9200/library/_search_shards?pretty '-D JSON

Weighted query:

"title": {"value": "Crime", "Boost": 10.0}

Multi-entry query:

"Terms": {"title": [' book ', ' novel '], "Minimum_match": 1

Term query does not parse, match query analysis,

Multi_search query: (Query on multiple fields)

Elasticsearch Study Notes (i)