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nyaa/es_mapping.yml
2017-05-18 01:58:08 -07:00

95 lines
2.3 KiB
YAML

---
# CREATE DTABASE/TABLE equivalent for elasticsearch, in yaml
# fo inline comments.
settings:
analysis:
analyzer:
my_search_analyzer:
type: custom
tokenizer: standard
char_filter:
- my_char_filter
filter:
- standard
- lowercase
my_index_analyzer:
type: custom
tokenizer: standard
char_filter:
- my_char_filter
filter:
- resolution
- lowercase
- my_ngram
filter:
my_ngram:
type: edgeNGram
min_gram: 1
max_gram: 15
resolution:
type: pattern_capture
patterns: ["(\\d+)x(\\d+)"]
char_filter:
my_char_filter:
type: mapping
mappings: ["-=>_", "!=>_", "_=>\\u0020"]
index:
# we're running a single es node, so no sharding necessary,
# plus replicas don't really help either.
number_of_shards: 1
number_of_replicas : 0
mapper:
# disable elasticsearch's "helpful" autoschema
dynamic: false
# since we disabled the _all field, default query the
# name of the torrent.
query:
default_field: display_name
mappings:
torrent:
# don't want everything concatenated
_all:
enabled: false
properties:
id:
type: long
display_name:
# TODO could do a fancier tokenizer here to parse out the
# the scene convention of stuff in brackets, plus stuff like k-on
type: text
analyzer: my_index_analyzer
fielddata: true
created_time:
type: date
# Only in the ES index for generating magnet links
info_hash:
enabled: false
filesize:
type: long
anonymous:
type: boolean
trusted:
type: boolean
remake:
type: boolean
complete:
type: boolean
hidden:
type: boolean
deleted:
type: boolean
has_torrent:
type: boolean
download_count:
type: long
leech_count:
type: long
seed_count:
type: long
# these ids are really only for filtering, thus keyword
uploader_id:
type: keyword
main_category_id:
type: keyword
sub_category_id:
type: keyword