Querying Indexed Attachments
Once the attachments are indexed, you can query the text content and metadata like any other fields in Elasticsearch.
Example: Querying by Extracted Content
To search for documents containing a specific keyword in the attachment content, use a simple search query:
curl -X GET "localhost:9200/myindex/_search" -H 'Content-Type: application/json' -d'
{
"query": {
"match": {
"attachment.content": "keyword"
}
}
}'
Output:
The response will include documents where the keyword is found in the extracted content:
{
"took": 10,
"timed_out": false,
"_shards": {
"total": 1,
"successful": 1,
"skipped": 0,
"failed": 0
},
"hits": {
"total": {
"value": 1,
"relation": "eq"
},
"max_score": 1.0,
"hits": [
{
"_index": "myindex",
"_id": "1",
"_score": 1.0,
"_source": {
"attachment": {
"content": "This is the content of the attachment...",
"content_type": "application/pdf",
"language": "en",
"title": "Sample PDF"
}
}
}
]
}
}
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.