File: vector.expected

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file content (24 lines) | stat: -rw-r--r-- 1,009 bytes parent folder | download | duplicates (3)
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table_create Users TABLE_NO_KEY
[[0,0.0,0.0],true]
column_create Users name COLUMN_SCALAR ShortText
[[0,0.0,0.0],true]
column_create Users memo COLUMN_SCALAR ShortText
[[0,0.0,0.0],true]
column_create Users tag COLUMN_SCALAR ShortText
[[0,0.0,0.0],true]
table_create Terms TABLE_PAT_KEY ShortText   --default_tokenizer TokenNgram   --normalizer NormalizerNFKC130
[[0,0.0,0.0],true]
column_create Terms name COLUMN_INDEX|WITH_POSITION Users name
[[0,0.0,0.0],true]
column_create Terms memo COLUMN_INDEX|WITH_POSITION Users memo
[[0,0.0,0.0],true]
column_create Terms tag COLUMN_INDEX|WITH_POSITION Users tag
[[0,0.0,0.0],true]
load --table Users
[
{"name": "Alice", "memo": "Groonga user", "tag": "Groonga"},
{"name": "Bob",   "memo": "Rroonga user", "tag": "Rroonga"}
]
[[0,0.0,0.0],2]
select Users   --output_columns _score,name   --filter 'query(["name * 100 || memo * 10", "", "tag * 1"],                   "Alice OR Groonga")'
[[0,0.0,0.0],[[[1],[["_score","Int32"],["name","ShortText"]],[111,"Alice"]]]]