Advanced Use Cases
Indexing Multiple Attachments
You can index multiple attachments in a single document by including multiple fields for each attachment and processing them in the pipeline.
Step 1: Update Ingest Pipeline
Modify the ingest pipeline to handle multiple attachment fields:
curl -X PUT "localhost:9200/_ingest/pipeline/attachment_pipeline" -H 'Content-Type: application/json' -d'
{
"description": "Extract multiple attachment information",
"processors": [
{
"attachment": {
"field": "data1"
}
},
{
"attachment": {
"field": "data2"
}
},
{
"remove": {
"field": ["data1", "data2"]
}
}
]
}'
Step 2: Indexing a Document with Multiple Attachments
Prepare a sample document with two base64-encoded attachments:
{
"data1": "JVBERi0xLjQKJaqrrK0KNCAwIG9iago8PC9MaW5lYXJpemVkIDIgL0wgMTExMTENyCjIwL1UgMzY0MjMvTiAxL1RQIDEwMjcKPj4KZW5kb2JqCjw8L0VuY3J5cHR...",
"data2": "JVBERi0xLjQKJaqrrK0KNCAwIG9iago8PC9MaW5lYXJpemVkIDIgL0wgMTExMTENyCjIwL1UgMzY0MjMvTiAxL1RQIDEwMjcKPj4KZW5kb2JqCjw8L0VuY3J5cHR..."
}
Index this document using the attachment_pipeline:
curl -X PUT "localhost:9200/myindex/_doc/2?pipeline=attachment_pipeline" -H 'Content-Type: application/json' -d'
{
"data1": "JVBERi0xLjQKJaqrrK0KNCAwIG9iago8PC9MaW5lYXJpemVkIDIgL0wgMTExMTENyCjIwL1UgMzY0MjMvTiAxL1RQIDEwMjcKPj4KZW5kb2JqCjw8L0VuY3J5cHR...",
"data2": "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.