elasticsearchHow do I use different field types in Elasticsearch?
To use different field types in Elasticsearch, you need to specify the type when creating an index or mapping. For example, to create a mapping for a field of type keyword, you could use the following code:
PUT my_index
{
"mappings": {
"properties": {
"my_field": {
"type": "keyword"
}
}
}
}
The output of this code would be:
{
"acknowledged": true,
"shards_acknowledged": true,
"index": "my_index"
}
The following is a list of the available field types in Elasticsearch, with a brief explanation of each:
- text: used to store string values that will be analyzed for full-text search.
- keyword: used to store non-analyzed string values for exact matching.
- date: used to store date values.
- long: used to store 64-bit integer values.
- double: used to store double-precision 64-bit floating point values.
- boolean: used to store boolean values.
- object: used to store complex objects as nested documents.
- nested: used to store arrays of complex objects as nested documents.
For more information, please refer to the Elasticsearch documentation.
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