Datatypes
Elasticsearch core types
Elasticsearch types are provided in lowercase:
object
: unless otherwise stated, objects are not included in parent or rootlong
date
bool
Text
Fields of type Text are mapped as follows:
{
"type": "string",
"index": "not_analyzed",
"fields": {
"fulltext": {
"type": "string",
"term_vector": "with_positions_offsets",
"index_analyzer": "ez_text_fulltext_index_analyzer",
"search_analyzer": "ez_text_fulltext_search_analyzer"
},
"phrase": {
"type": "string",
"term_vector": "with_positions_offsets",
"index_analyzer": "ez_text_phrase_index_analyzer",
"search_analyzer": "ez_text_fulltext_search_analyzer"
},
"token": {
"type": "string",
"term_vector": "with_positions_offsets",
"analyzer": "ez_text_token_analyzer"
}
}
}
String
Fields of type String are mapped as follows:
{
"type": "string",
"index": "not_analyzed",
"fields": {
"fulltext": {
"type": "string",
"term_vector": "with_positions_offsets",
"index_analyzer": "ez_string_fulltext_index_analyzer",
"search_analyzer": "ez_string_fulltext_search_analyzer"
},
"token": {
"type": "string",
"term_vector": "with_positions_offsets",
"analyzer": "ez_string_token_analyzer"
}
}
}
L10n
L10n fields are a structure holding a Text field for each language. Additionally, they have a “sort” field in order to sort them according to the rules of each language:
{
"<lang>": {
"type": "string",
"index": "not_analyzed",
"fields": {
"fulltext": {
"type": "string",
"term_vector": "with_positions_offsets",
"index_analyzer": "ez_text_fulltext_index_analyzer",
"search_analyzer": "ez_text_fulltext_search_analyzer"
},
"phrase": {
"type": "string",
"term_vector": "with_positions_offsets",
"index_analyzer": "ez_text_phrase_index_analyzer",
"search_analyzer": "ez_text_fulltext_search_analyzer"
},
"sort": {
"type": "string",
"term_vector": "with_positions_offsets",
"index_analyzer": "sort_de-DE"
},
"token": {
"type": "string",
"term_vector": "with_positions_offsets",
"analyzer": "ez_text_token_analyzer"
}
}
},
... // for each language
}
Changelog
The changelog contains an array of entries. That means that most search queries will only be meaningful as nested search elements.
However, a direct search is also possible because it is mapped with include_in_parent
.
See here for a description of the fields:
Field | Datatype |
---|---|
batch_id |
long |
operation |
string |
schema_version |
long |
time |
date |
version |
long |
current_version |
bool |
user |
object |
↦ _id |
long |
groups |
long |
comment |
Text |