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Sqlite3 extensions
==================

* Define custom aggregates, collations and functions
* Basic support for virtual tables
* Basic support for FTS3/4
* Specify isolation level in transactions

Example usage of the Full-text search:

class Document(FTSModel):
    title = TextField()  # type affinities are ignored in FTS
    content = TextField()

Document.create_table(tokenize='porter')  # use the porter stemmer

# populate the documents using normal operations.
for doc in documents:
    Document.create(title=doc['title'], content=doc['content'])

# use the "match" operation for FTS queries.
matching_docs = Document.select().where(match(Document.title, 'some query'))

# to sort by best match, use the custom "rank" function.
best_docs = (Document
             .select(Document, Document.rank('score'))
             .where(match(Document.title, 'some query'))
             .order_by(SQL('score')))

# or use the shortcut method.
best_docs = Document.match('some phrase')
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    tokenize: porter, unicode61, ascii. Ex: 'porter unicode61'

    The unicode tokenizer supports the following parameters:

    * remove_diacritics (1 or 0, default is 1)
    * tokenchars (string of characters, e.g. '-_'
    * separators (string of characters)

    Parameters are passed as alternating parameter name and value, so:

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    Content-less tables:

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    -- Create a table. And an external content fts5 table to index it.
    CREATE TABLE tbl(a INTEGER PRIMARY KEY, b);
    CREATE VIRTUAL TABLE ft USING fts5(b, content='tbl', content_rowid='a');

    -- Triggers to keep the FTS index up to date.
    CREATE TRIGGER tbl_ai AFTER INSERT ON tbl BEGIN
      INSERT INTO ft(rowid, b) VALUES (new.a, new.b);
    END;
    CREATE TRIGGER tbl_ad AFTER DELETE ON tbl BEGIN
      INSERT INTO ft(fts_idx, rowid, b) VALUES('delete', old.a, old.b);
    END;
    CREATE TRIGGER tbl_au AFTER UPDATE ON tbl BEGIN
      INSERT INTO ft(fts_idx, rowid, b) VALUES('delete', old.a, old.b);
      INSERT INTO ft(rowid, b) VALUES (new.a, new.b);
    END;

    Built-in auxiliary functions:

    * bm25(tbl[, weight_0, ... weight_n])
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    * snippet(tbl, col_idx, prefix, suffix, ?, max_tokens)
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