Elasticsearch Field Missing in Elasticsearch

By Opster Team

Updated: Jun 22, 2023

| 2 min read

Handling Missing Fields in Elasticsearch Queries

When working with Elasticsearch, it is common to encounter situations where some documents in the index might not have a specific field. This article will discuss how to handle missing fields in queries, including using the `exists` query, the deprecated `missing` query, and the `null_value` parameter. If you want to learn how to calculate the storage size of specific fields in an Index, check out this guide

1. Using the `exists` query

The `exists` query can be used to filter documents based on the presence or absence of a field. To find documents with a missing field, you can use a `bool` query with a `must_not` clause containing the `exists` query.

Example:

GET /_search
{
"query": {
"bool": {
"must_not": {
"exists": {
"field": "field_name"
}
}
}
}
}

This query will return all documents where the `field_name` field is missing.

2. Using the `missing` query (deprecated in Elasticsearch)

The `missing` query was used in Elasticsearch 1.x and 2.x to find documents with a missing field. However, it has been deprecated since Elasticsearch 2.2, and it is recommended to use the `exists` query instead.

Example (for Elasticsearch 1.x and 2.x only):

GET /_search
{
"query": {
"missing": {
"field": "field_name"
}
}
}

3. Using the `null_value` parameter

When indexing documents, you can use the `null_value` parameter in the field mapping to replace missing values with a default value. This way, when querying the field, the default value will be used if the field is missing.

Example:

First, create an index with the `null_value` parameter in the field mapping:

PUT /my_index
{
"mappings": {
"properties": {
"field_name": {
"type": "keyword",
"null_value": "default_value"
}
}
}
}

Now, when indexing a document without the `field_name` field, the default value will be used:

POST /my_index/_doc
{
"another_field": "value"
}

When querying the `field_name` field, the document will be treated as if it had the `default_value`.

Conclusion 

In conclusion, handling missing fields in Elasticsearch queries can be achieved using the `exists` query, the deprecated `missing` query, or the `null_value` parameter. Choose the appropriate method based on your use case and the version of Elasticsearch you are using.