Painless is a scripting language built into Elasticsearch, designed for efficient and safe execution of scripts. It allows for custom calculations and transformations within Elasticsearch. Here are some key features and applications of Painless:
Performance: Painless is optimized for speed and executes scripts very efficiently.
Security: Painless is designed with security in mind, restricting access to potentially harmful operations and preventing dangerous scripts.
Syntax: Painless uses a Java-like syntax, making it easy for developers familiar with Java to learn and use.
Built-in Types and Functions: Painless provides a variety of built-in types and functions that are useful for working with data in Elasticsearch.
Integration with Elasticsearch: Painless is deeply integrated into Elasticsearch and can be used in various areas such as searches, aggregations, updates, and ingest pipelines.
Scripting in Searches: Painless can be used to perform custom calculations in search queries, such as adjusting scores or creating custom filters.
Scripting in Aggregations: Painless can be used to perform custom metrics and calculations in aggregations, enabling deeper analysis.
Updates: Painless can be used in update scripts to modify documents in Elasticsearch, allowing for complex update operations beyond simple field assignments.
Ingest Pipelines: Painless can be used in ingest pipelines to transform documents during indexing, allowing for calculations or data enrichment before the data is stored in the index.
Here is a simple example of a Painless script used in an Elasticsearch search query to calculate a custom field:
{
"query": {
"match_all": {}
},
"script_fields": {
"custom_score": {
"script": {
"lang": "painless",
"source": "doc['field1'].value + doc['field2'].value"
}
}
}
}
In this example, the script creates a new field custom_score
that calculates the sum of field1
and field2
for each document.
Painless is a powerful scripting language in Elasticsearch that allows for the efficient and safe implementation of custom logic.