Coerce
The coerce
mapping parameter controls how values are converted to the expected field data type during indexing. This parameter lets you verify that your data is formatted and indexed properly, following the expected field types. This improves the accuracy of your search results.
Examples
The following examples demonstrate how to use the coerce
mapping parameter.
Indexing a document with coerce
enabled
PUT products
{
"mappings": {
"properties": {
"price": {
"type": "integer",
"coerce": true
}
}
}
}
PUT products/_doc/1
{
"name": "Product A",
"price": "19.99"
}
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In this example, the price
field is defined as an integer
type with coerce
set to true
. When indexing the document, the string value 19.99
is coerced to the integer 19
.
Indexing a document with coerce
disabled
PUT orders
{
"mappings": {
"properties": {
"quantity": {
"type": "integer",
"coerce": false
}
}
}
}
PUT orders/_doc/1
{
"item": "Widget",
"quantity": "10"
}
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In this example, the quantity
field is defined as an integer
type with coerce
set to false
. When indexing the document, the string value 10
is not coerced, and the document is rejected because of the type mismatch.
Setting the index-level coercion setting
PUT inventory
{
"settings": {
"index.mapping.coerce": false
},
"mappings": {
"properties": {
"stock_count": {
"type": "integer",
"coerce": true
},
"sku": {
"type": "keyword"
}
}
}
}
PUT inventory/_doc/1
{
"sku": "ABC123",
"stock_count": "50"
}
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In this example, the index-level index.mapping.coerce
setting is set to false
, which disables coercion for the index. However, the stock_count
field overrides this setting and enables coercion for this specific field.