本地英文版地址: ../en/analysis-delimited-payload-tokenfilter.html
Delimited payload token filteredit
The older name delimited_payload_filter is deprecated and should not be used
with new indices. Use delimited_payload instead.
Separates a token stream into tokens and payloads based on a specified delimiter.
For example, you can use the delimited_payload filter with a | delimiter to
split the|1 quick|2 fox|3 into the tokens the, quick, and fox
with respective payloads of 1, 2, and 3.
This filter uses Lucene’s DelimitedPayloadTokenFilter.
Payloads
A payload is user-defined binary data associated with a token position and stored as base64-encoded bytes.
Elasticsearch does not store token payloads by default. To store payloads, you must:
-
Set the
term_vectormapping parameter towith_positions_payloadsorwith_positions_offsets_payloadsfor any field storing payloads. -
Use an index analyzer that includes the
delimited_payloadfilter
You can view stored payloads using the term vectors API.
Exampleedit
The following analyze API request uses the
delimited_payload filter with the default | delimiter to split
the|0 brown|10 fox|5 is|0 quick|10 into tokens and payloads.
GET _analyze
{
"tokenizer": "whitespace",
"filter": ["delimited_payload"],
"text": "the|0 brown|10 fox|5 is|0 quick|10"
}
The filter produces the following tokens:
[ the, brown, fox, is, quick ]
Note that the analyze API does not return stored payloads. For an example that includes returned payloads, see Return stored payloads.
Add to an analyzeredit
The following create index API request uses the
delimited-payload filter to configure a new custom
analyzer.
PUT delimited_payload
{
"settings": {
"analysis": {
"analyzer": {
"whitespace_delimited_payload": {
"tokenizer": "whitespace",
"filter": [ "delimited_payload" ]
}
}
}
}
}
Configurable parametersedit
-
delimiter -
(Optional, string)
Character used to separate tokens from payloads. Defaults to
|. -
encoding -
(Optional, string) Datatype for the stored payload. Valid values are:
-
float - (Default) Float
-
identity - Characters
-
int - Integer
-
Customize and add to an analyzeredit
To customize the delimited_payload filter, duplicate it to create the basis
for a new custom token filter. You can modify the filter using its configurable
parameters.
For example, the following create index API request
uses a custom delimited_payload filter to configure a new
custom analyzer. The custom delimited_payload
filter uses the + delimiter to separate tokens from payloads. Payloads are
encoded as integers.
PUT delimited_payload_example
{
"settings": {
"analysis": {
"analyzer": {
"whitespace_plus_delimited": {
"tokenizer": "whitespace",
"filter": [ "plus_delimited" ]
}
},
"filter": {
"plus_delimited": {
"type": "delimited_payload",
"delimiter": "+",
"encoding": "int"
}
}
}
}
}
Return stored payloadsedit
Use the create index API to create an index that:
- Includes a field that stores term vectors with payloads.
-
Uses a custom index analyzer with the
delimited_payloadfilter.
PUT text_payloads
{
"mappings": {
"properties": {
"text": {
"type": "text",
"term_vector": "with_positions_payloads",
"analyzer": "payload_delimiter"
}
}
},
"settings": {
"analysis": {
"analyzer": {
"payload_delimiter": {
"tokenizer": "whitespace",
"filter": [ "delimited_payload" ]
}
}
}
}
}
Add a document containing payloads to the index.
POST text_payloads/_doc/1
{
"text": "the|0 brown|3 fox|4 is|0 quick|10"
}
Use the term vectors API to return the document’s tokens and base64-encoded payloads.
GET text_payloads/_termvectors/1
{
"fields": [ "text" ],
"payloads": true
}
The API returns the following response:
{
"_index": "text_payloads",
"_type": "_doc",
"_id": "1",
"_version": 1,
"found": true,
"took": 8,
"term_vectors": {
"text": {
"field_statistics": {
"sum_doc_freq": 5,
"doc_count": 1,
"sum_ttf": 5
},
"terms": {
"brown": {
"term_freq": 1,
"tokens": [
{
"position": 1,
"payload": "QEAAAA=="
}
]
},
"fox": {
"term_freq": 1,
"tokens": [
{
"position": 2,
"payload": "QIAAAA=="
}
]
},
"is": {
"term_freq": 1,
"tokens": [
{
"position": 3,
"payload": "AAAAAA=="
}
]
},
"quick": {
"term_freq": 1,
"tokens": [
{
"position": 4,
"payload": "QSAAAA=="
}
]
},
"the": {
"term_freq": 1,
"tokens": [
{
"position": 0,
"payload": "AAAAAA=="
}
]
}
}
}
}
}