Handling Large Attachments
When dealing with large attachments, it is important to consider the resource usage and performance implications. Elasticsearch provides options to manage these efficiently.
Example: Limiting Attachment Size
You can set a limit on the size of attachments that can be processed by the ingest pipeline to prevent resource exhaustion.
Step 1: Update Ingest Pipeline
Modify the ingest pipeline to limit attachment size:
curl -X PUT "localhost:9200/_ingest/pipeline/attachment_pipeline" -H 'Content-Type: application/json' -d'
{
"description": "Extract attachment information with size limit",
"processors": [
{
"attachment": {
"field": "data",
"indexed_chars": 100000
}
},
{
"remove": {
"field": "data"
}
}
]
}'
In this example, indexed_chars is set to 100,000 characters, limiting the amount of text extracted from each attachment.
Step 2: Indexing a Large Document
Index a document with a large attachment:
curl -X PUT "localhost:9200/myindex/_doc/3?pipeline=attachment_pipeline" -H 'Content-Type: application/json' -d'
{
"data": "JVBERi0xLjQKJaqrrK0KNCAwIG9iago8PC9MaW5lYXJpemVkIDIgL0wgMTExMTENyCjIwL1UgMzY0MjMvTiAxL1RQIDEwMjcKPj4KZW5kb2JqCjw8L0VuY3J5cHR..."
}'
Indexing Attachments and Binary Data with Elasticsearch Plugins
Elasticsearch is renowned for its powerful search capabilities, but its functionality extends beyond just text and structured data. Often, we need to index and search binary data such as PDFs, images, and other attachments. Elasticsearch supports this through plugins, making it easy to handle and index various binary formats.
This article will guide you through indexing attachments and binary data using Elasticsearch plugins, with detailed examples and outputs.