In addition to reading this guide, we recommend you run the Elasticsearch Health Check-Up. It will detect issues and improve your Elasticsearch performance by analyzing your shard sizes, threadpools, memory, snapshots, disk watermarks and more.The Elasticsearch Check-Up is free and requires no installation.
Before you begin reading this guide, we recommend you try running the Elasticsearch Error Check-Up which analyzes 2 JSON files to detect many configuration errors.
To easily resolve issues in your deployment and locate their root cause, try AutoOps for ElasticSearch. It diagnoses problems by analyzing hundreds of metrics collected by a lightweight agent and offers guidance for resolving them.
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Introduction
The match_all query is a simple yet essential component of Elasticsearch, as it allows users to retrieve all documents within an index or multiple indices. This query is particularly useful when you need to perform operations on all documents, such as applying filters, aggregations, or sorting.
In this article, we will explore the match_all query in detail, including its syntax, usage, and examples.
Syntax and Usage
The match_all query is straightforward to use, as it does not require any specific field or value to match. Here is the basic syntax for the match_all query:
GET /_search
{
"query": {
"match_all": {}
}
}By default, the match_all query returns the first 10 documents in the index, sorted by their relevance score. However, you can customize the number of documents returned and their sorting order using the “size” and “sort” parameters, respectively.
Examples
1. Retrieve all documents from an index:
To retrieve all documents from a specific index, simply replace the index name in the request URL. For example, to get all documents from the “products” index, use the following query:
GET /products/_search
{
"query": {
"match_all": {}
}
}2. Retrieve documents from multiple indices:
To retrieve documents from multiple indices, you can use a comma-separated list of index names or a wildcard pattern. For example, to get all documents from the “products” and “orders-*” indices (assuming we’ll have a new order index created every day and they will be named something like “orders-2023.05.05”), use the following query:
GET /products,orders-*/_search
{
"query": {
"match_all": {}
}
}3. Customize the number of documents returned:
By default, Elasticsearch returns the first 10 documents. To change this, use the size parameter. For example, to retrieve the first 50 documents, use the following query:
GET /_search
{
"size": 50,
"query": {
"match_all": {}
}
}4. Sort documents by a specific field:
To sort the documents by a specific field, use the sort parameter. For example, to sort the documents by the “price” field in ascending order, use the following query:
GET /_search
{
"sort": [
{
"price": {
"order": "asc"
}
}
],
"query": {
"match_all": {}
}
}5. Combine match_all with other queries:
You can also combine the match_all query with other queries, such as filters or aggregations. For example, to retrieve all documents with a “price” greater than 100 and calculate the average price, use the following query:
GET /_search
{
"query": {
"bool": {
"must": {
"match_all": {}
},
"filter": {
"range": {
"price": {
"gt": 100
}
}
}
}
},
"aggs": {
"average_price": {
"avg": {
"field": "price"
}
}
}
}Conclusion
The match_all query is a fundamental building block in Elasticsearch, allowing users to retrieve all documents within an index or multiple indices. By combining it with other queries, filters, and aggregations, you can perform powerful operations on your data. Understanding and utilizing the match_all query is crucial for effectively working with Elasticsearch.
You can learn more about more specific types of match queries by taking a look at this guide, which contains a very detailed explanation on how the match, multi_match and match_phrase work.
