OpenSearch/docs/plugins/mapper-attachments.asciidoc

[[mapper-attachments]]
=== Mapper Attachments Plugin

deprecated[5.0.0,The `mapper-attachments` plugin has been replaced by the <<ingest-attachment, `ingest-attachment`>> plugin]

The mapper attachments plugin lets Elasticsearch index file attachments in common formats (such as PPT, XLS, PDF)
using the Apache text extraction library http://lucene.apache.org/tika/[Tika].

In practice, the plugin adds the `attachment` type when mapping properties so that documents can be populated with
file attachment contents (encoded as `base64`).

[[mapper-attachments-install]]
[float]
==== Installation

This plugin can be installed using the plugin manager:

[source,sh]
----------------------------------------------------------------
sudo bin/elasticsearch-plugin install mapper-attachments
----------------------------------------------------------------

The plugin must be installed on every node in the cluster, and each node must
be restarted after installation.

[[mapper-attachments-remove]]
[float]
==== Removal

The plugin can be removed with the following command:

[source,sh]
----------------------------------------------------------------
sudo bin/elasticsearch-plugin remove mapper-attachments
----------------------------------------------------------------

The node must be stopped before removing the plugin.

[[mapper-attachments-helloworld]]
==== Hello, world

Create a property mapping using the new type `attachment`:

[source,js]
--------------------------
POST /trying-out-mapper-attachments
{
  "mappings": {
    "person": {
      "properties": {
        "cv": { "type": "attachment" }
}}}}
--------------------------
// CONSOLE

Index a new document populated with a `base64`-encoded attachment:

[source,js]
--------------------------
POST /trying-out-mapper-attachments/person/1
{
  "cv": "e1xydGYxXGFuc2kNCkxvcmVtIGlwc3VtIGRvbG9yIHNpdCBhbWV0DQpccGFyIH0="
}
--------------------------
// CONSOLE

Search for the document using words in the attachment:

[source,js]
--------------------------
POST /trying-out-mapper-attachments/person/_search
{
  "query": {
    "query_string": {
      "query": "ipsum"
}}}
--------------------------
// CONSOLE

If you get a hit for your indexed document, the plugin should be installed and working.

[[mapper-attachments-usage]]
==== Usage

Using the attachment type is simple, in your mapping JSON, simply set a certain JSON element as attachment, for example:

[source,js]
--------------------------
PUT /test
PUT /test/person/_mapping
{
    "person" : {
        "properties" : {
            "my_attachment" : { "type" : "attachment" }
        }
    }
}
--------------------------
// CONSOLE

In this case, the JSON to index can be:

[source,js]
--------------------------
PUT /test/person/1
{
    "my_attachment" : "... base64 encoded attachment ..."
}
--------------------------
// CONSOLE

Or it is possible to use more elaborated JSON if content type, resource name or language need to be set explicitly:

[source,js]
--------------------------
PUT /test/person/1
{
    "my_attachment" : {
        "_content_type" : "application/pdf",
        "_name" : "resource/name/of/my.pdf",
        "_language" : "en",
        "_content" : "... base64 encoded attachment ..."
    }
}
--------------------------
// CONSOLE

The `attachment` type not only indexes the content of the doc in `content` sub field, but also automatically adds meta
data on the attachment as well (when available).

The metadata supported are:

* `date`
* `title`
* `name` only available if you set `_name` see above
* `author`
* `keywords`
* `content_type`
* `content_length` is the original content_length before text extraction (aka file size)
* `language`

They can be queried using the "dot notation", for example: `my_attachment.author`.

Both the meta data and the actual content are simple core type mappers (text, date, …), thus, they can be controlled
in the mappings. For example:

[source,js]
--------------------------
PUT /test/person/_mapping
{
    "person" : {
        "properties" : {
            "file" : {
                "type" : "attachment",
                "fields" : {
                    "content" : {"index" : "no"},
                    "title" : {"store" : "yes"},
                    "date" : {"store" : "yes"},
                    "author" : {"analyzer" : "myAnalyzer"},
                    "keywords" : {"store" : "yes"},
                    "content_type" : {"store" : "yes"},
                    "content_length" : {"store" : "yes"},
                    "language" : {"store" : "yes"}
                }
            }
        }
    }
}
--------------------------
// CONSOLE

In the above example, the actual content indexed is mapped under `fields` name `content`, and we decide not to index it, so
it will only be available in the `_all` field. The other fields map to their respective metadata names, but there is no
need to specify the `type` (like `text` or `date`) since it is already known.

==== Querying or accessing metadata

If you need to query on metadata fields, use the attachment field name dot the metadata field. For example:

[source,js]
--------------------------
DELETE /test
PUT /test
PUT /test/person/_mapping
{
  "person": {
    "properties": {
      "file": {
        "type": "attachment",
        "fields": {
          "content_type": {
            "type": "text",
            "store": true
          }
        }
      }
    }
  }
}
PUT /test/person/1?refresh=true
{
  "file": "IkdvZCBTYXZlIHRoZSBRdWVlbiIgKGFsdGVybmF0aXZlbHkgIkdvZCBTYXZlIHRoZSBLaW5nIg=="
}
GET /test/person/_search
{
  "fields": [ "file.content_type" ],
  "query": {
    "match": {
      "file.content_type": "text plain"
    }
  }
}
--------------------------
// CONSOLE

Will give you:

[source,js]
--------------------------
{
   "took": 2,
   "timed_out": false,
   "_shards": {
      "total": 5,
      "successful": 5,
      "failed": 0
   },
   "hits": {
      "total": 1,
      "max_score": 0.16273327,
      "hits": [
         {
            "_index": "test",
            "_type": "person",
            "_id": "1",
            "_score": 0.16273327,
            "fields": {
               "file.content_type": [
                  "text/plain; charset=ISO-8859-1"
               ]
            }
         }
      ]
   }
}
--------------------------

[[mapper-attachments-indexed-characters]]
==== Indexed Characters

By default, `100000` characters are extracted when indexing the content. This default value can be changed by setting
the `index.mapping.attachment.indexed_chars` setting. It can also be provided on a per document indexed using the
`_indexed_chars` parameter. `-1` can be set to extract all text, but note that all the text needs to be allowed to be
represented in memory:

[source,js]
--------------------------
PUT /test/person/1
{
    "my_attachment" : {
        "_indexed_chars" : -1,
        "_content" : "... base64 encoded attachment ..."
    }
}
--------------------------
// CONSOLE

[[mapper-attachments-error-handling]]
==== Metadata parsing error handling

While extracting metadata content, errors could happen for example when parsing dates.
Parsing errors are ignored so your document is indexed.

You can disable this feature by setting the `index.mapping.attachment.ignore_errors` setting to `false`.

[[mapper-attachments-language-detection]]
==== Language Detection

By default, language detection is disabled (`false`) as it could come with a cost.
This default value can be changed by setting the `index.mapping.attachment.detect_language` setting.
It can also be provided on a per document indexed using the `_detect_language` parameter.

Note that you can force language using `_language` field when sending your actual document:

[source,js]
--------------------------
{
    "my_attachment" : {
        "_language" : "en",
        "_content" : "... base64 encoded attachment ..."
    }
}
--------------------------

[[mapper-attachments-highlighting]]
==== Highlighting attachments

If you want to highlight your attachment content, you will need to set `"store": true` and
`"term_vector":"with_positions_offsets"` for your attachment field. Here is a full script which does it:

[source,js]
--------------------------
DELETE /test
PUT /test
PUT /test/person/_mapping
{
  "person": {
    "properties": {
      "file": {
        "type": "attachment",
        "fields": {
          "content": {
            "type": "text",
            "term_vector":"with_positions_offsets",
            "store": true
          }
        }
      }
    }
  }
}
PUT /test/person/1?refresh=true
{
  "file": "IkdvZCBTYXZlIHRoZSBRdWVlbiIgKGFsdGVybmF0aXZlbHkgIkdvZCBTYXZlIHRoZSBLaW5nIg=="
}
GET /test/person/_search
{
  "fields": [],
  "query": {
    "match": {
      "file.content": "king queen"
    }
  },
  "highlight": {
    "fields": {
      "file.content": {
      }
    }
  }
}
--------------------------
// CONSOLE

It gives back:

[source,js]
--------------------------
{
   "took": 9,
   "timed_out": false,
   "_shards": {
      "total": 1,
      "successful": 1,
      "failed": 0
   },
   "hits": {
      "total": 1,
      "max_score": 0.13561106,
      "hits": [
         {
            "_index": "test",
            "_type": "person",
            "_id": "1",
            "_score": 0.13561106,
            "highlight": {
               "file.content": [
                  "\"God Save the <em>Queen</em>\" (alternatively \"God Save the <em>King</em>\"\n"
               ]
            }
         }
      ]
   }
}
--------------------------