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.

How helpful was this guide?

We are sorry that this post was not useful for you!

Let us improve this post!

Tell us how we can improve this post?