7.3.60. suggest#

Note

The suggest feature specification isn’t stable. The specification may be changed.

7.3.60.1. Summary#

suggest - returns completion, correction and/or suggestion for a query.

The suggest command returns completion, correction and/or suggestion for a specified query.

See Introduction about completion, correction and suggestion.

7.3.60.2. Syntax#

suggest types
        table
        column
        query
        [sortby=-_score]
        [output_columns=_key,_score]
        [offset=0]
        [limit=10]
        [frequency_threshold=100]
        [conditional_probability_threshold=0.2]
        [prefix_search=auto]

7.3.60.3. Usage#

Here are learned data for completion.

Execution example:

load --table event_query --each 'suggest_preparer(_id, type, item, sequence, time, pair_query)'
[
{"sequence": "1", "time": 1312950803.86057, "item": "e"},
{"sequence": "1", "time": 1312950803.96857, "item": "en"},
{"sequence": "1", "time": 1312950804.26057, "item": "eng"},
{"sequence": "1", "time": 1312950804.56057, "item": "engi"},
{"sequence": "1", "time": 1312950804.76057, "item": "engin"},
{"sequence": "1", "time": 1312950805.86057, "item": "engine", "type": "submit"}
]
# [[0,1337566253.89858,0.000355720520019531],6]

Here are learned data for correction.

Execution example:

load --table event_query --each 'suggest_preparer(_id, type, item, sequence, time, pair_query)'
[
{"sequence": "2", "time": 1312950803.86057, "item": "s"},
{"sequence": "2", "time": 1312950803.96857, "item": "sa"},
{"sequence": "2", "time": 1312950804.26057, "item": "sae"},
{"sequence": "2", "time": 1312950804.56057, "item": "saer"},
{"sequence": "2", "time": 1312950804.76057, "item": "saerc"},
{"sequence": "2", "time": 1312950805.76057, "item": "saerch", "type": "submit"},
{"sequence": "2", "time": 1312950809.76057, "item": "serch"},
{"sequence": "2", "time": 1312950810.86057, "item": "search", "type": "submit"}
]
# [[0,1337566253.89858,0.000355720520019531],8]

Here are learned data for suggestion.

Execution example:

load --table event_query --each 'suggest_preparer(_id, type, item, sequence, time, pair_query)'
[
{"sequence": "3", "time": 1312950803.86057, "item": "search engine", "type": "submit"},
{"sequence": "3", "time": 1312950808.86057, "item": "web search realtime", "type": "submit"}
]
# [[0,1337566253.89858,0.000355720520019531],2]

Here is a completion example.

Execution example:

suggest --table item_query --column kana --types complete --frequency_threshold 1 --query en
# [
#   [
#     0,
#     1337566253.89858,
#     0.000355720520019531
#   ],
#   {
#     "complete": [
#       [
#         1
#       ],
#       [
#         [
#           "_key",
#           "ShortText"
#         ],
#         [
#           "_score",
#           "Int32"
#         ]
#       ],
#       [
#         "engine",
#         1
#       ]
#     ]
#   }
# ]

Here is a correction example.

Execution example:

suggest --table item_query --column kana --types correct --frequency_threshold 1 --query saerch
# [
#   [
#     0,
#     1337566253.89858,
#     0.000355720520019531
#   ],
#   {
#     "correct": [
#       [
#         1
#       ],
#       [
#         [
#           "_key",
#           "ShortText"
#         ],
#         [
#           "_score",
#           "Int32"
#         ]
#       ],
#       [
#         "search",
#         1
#       ]
#     ]
#   }
# ]

Here is a suggestion example.

Execution example:

suggest --table item_query --column kana --types suggest --frequency_threshold 1 --query search
# [
#   [
#     0,
#     1337566253.89858,
#     0.000355720520019531
#   ],
#   {
#     "suggest": [
#       [
#         2
#       ],
#       [
#         [
#           "_key",
#           "ShortText"
#         ],
#         [
#           "_score",
#           "Int32"
#         ]
#       ],
#       [
#         "search engine",
#         1
#       ],
#       [
#         "web search realtime",
#         1
#       ]
#     ]
#   }
# ]

Here is a mixed example.

Execution example:

suggest --table item_query --column kana --types complete|correct|suggest --frequency_threshold 1 --query search
# [
#   [
#     0,
#     1337566253.89858,
#     0.000355720520019531
#   ],
#   {
#     "complete": [
#       [
#         2
#       ],
#       [
#         [
#           "_key",
#           "ShortText"
#         ],
#         [
#           "_score",
#           "Int32"
#         ]
#       ],
#       [
#         "search",
#         2
#       ],
#       [
#         "search engine",
#         2
#       ]
#     ],
#     "correct": [
#       [
#         1
#       ],
#       [
#         [
#           "_key",
#           "ShortText"
#         ],
#         [
#           "_score",
#           "Int32"
#         ]
#       ],
#       [
#         "search",
#         2
#       ]
#     ],
#     "suggest": [
#       [
#         2
#       ],
#       [
#         [
#           "_key",
#           "ShortText"
#         ],
#         [
#           "_score",
#           "Int32"
#         ]
#       ],
#       [
#         "search engine",
#         1
#       ],
#       [
#         "web search realtime",
#         1
#       ]
#     ]
#   }
# ]

7.3.60.4. Parameters#

types

Specifies what types are returned by the suggest command.

Here are available types:

complete

The suggest command does completion.

correct

The suggest command does correction.

suggest

The suggest command does suggestion.

You can specify one or more types separated by |. Here are examples:

It returns correction:

correct

It returns correction and suggestion:

correct|suggest

It returns complete, correction and suggestion:

complete|correct|suggest
table

Specifies table name that has item_${DATA_SET_NAME} format. For example, item_query is a table name if you created dataset by the following command:

groonga-suggest-create-dataset /tmp/db-path query
column

Specifies a column name that has furigana in Katakana in table table.

query

Specifies query for completion, correction and/or suggestion.

sortby

Specifies sort key.

Default:

-_score

output_columns

Specifies output columns.

Default:

_key,_score

offset

Specifies returned records offset.

Default:

0

limit

Specifies number of returned records.

Default:

10

frequency_threshold

Specifies threshold for item frequency. Returned records must have _score that is greater than or equal to frequency_threshold.

Default:

100

conditional_probability_threshold

Specifies threshold for conditional probability. Conditional probability is used for learned data. It is probability of query submission when query is occurred. Returned records must have conditional probability that is greater than or equal to conditional_probability_threshold.

Default:

0.2

prefix_search

Specifies whether optional prefix search is used or not in completion.

Here are available values:

yes

Prefix search is always used.

no

Prefix search is never used.

auto

Prefix search is used only when other search can’t find any records.

Default:

auto

similar_search

Specifies whether optional similar search is used or not in correction.

Here are available values:

yes

Similar search is always used.

no

Similar search is never used.

auto

Similar search is used only when other search can’t find any records.

Default:

auto

7.3.60.5. Return value#

Here is a returned JSON format:

{"type1": [["candidate1", score of candidate1],
           ["candidate2", score of candidate2],
           ...],
 "type2": [["candidate1", score of candidate1],
           ["candidate2", score of candidate2],
           ...],
 ...}

type

A type specified by types.

candidate

A candidate for completion, correction or suggestion.

score of candidate

A score of corresponding candidate. It means that higher score candidate is more likely candidate for completion, correction or suggestion. Returned candidates are sorted by score of candidate descending by default.

7.3.60.6. See also#