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Text Functions 12744
Text Functions and Operators This section describes functions and operators for examining and manipulating STRING values . Function Description string[index] Extracts a single character using a (1-based) index . string[begin:end] Extracts a ... char │ varchar │ varchar │ ├─────────┼─────────┼─────────┤ │ Thomas │ hxyzo │ aXYbc │ └─────────┴─────────┴─────────┘ Text Similarity Functions These functions are used to measure the similarity of two strings using various similarity measures . Function D ... t be of equal length. Characters of different cases (e.g., a and A ) are considered different. jaccard(s1, s2) The Jaccard similarity between two strings. Characters of different cases (e.g., a and A ) are considered different. Returns a number between 0 a ... nd 1. jaro_similarity(s1, s2[, score_cutoff]) The Jaro similarity between two strings. Characters of different cases (e.g., a and A ) are consid ...
https://man.mtool.work/duckdb/2.0/sql/functions/text.html
Array Functions 10910
All LIST functions work with the ARRAY data type . Additionally, several ARRAY -native functions are also supported. Array-Native Functions Function Description array_cosine_distance(array1, array2) Computes the cosine distance between two ... ay elements cannot be NULL . The arrays can have any size as long as the size is the same for both arguments. array_cosine_similarity(array1, array2) Computes the cosine similarity between two arrays of the same size. The array elements cannot be NULL . Th ... ::FLOAT, 2.0::FLOAT, 3.0::FLOAT), array_value(2.0::FLOAT, 3.0::FLOAT, 4.0::FLOAT)) | | Result | 0.007416606 | array_cosine_similarity(array1, array2) | Description | Computes the cosine similarity between two arrays of the same size. The array elements can ... not be NULL . The arrays can have any size as long as the size is the same for both arguments. | | Example | array_cosine_similarity(array_value(1.0::FLOAT, 2.0::FLOAT, 3.0::FLOAT), array_value(2.0::FLOAT, 3.0::FLOAT, 4.0::FLOAT)) | | Result | 0.9925834 | ...
https://man.mtool.work/duckdb/2.0/sql/functions/array.html
Python Client API 9508
Connection class duckdb. Appender Bases: object append_row ( self , * args ) → None Buffer one row, one value per column, each converted as an executemany parameter would be append_rows ( self , rows : object ) → None Buffer each row of an ... HAR', 'VARCHAR']), 'instr': ('instr', 0, ['VARCHAR', 'VARCHAR']), 'jaccard': ('jaccard', 0, ['VARCHAR', 'VARCHAR']), 'jaro_similarity': ('jaro_similarity', 0, ['VARCHAR', 'VARCHAR']), 'jaro_winkler_similarity': ('jaro_winkler_similarity', 0, ['VARCHAR', 'V ... tring first occurs, or 0. Arguments: search_string. SQL: instr . jaccard ( * args : ValueOrExpr ) → Expression The Jaccard similarity between two strings. Arguments: s2. SQL: jaccard . jaro_similarity ( * args : ValueOrExpr ) → Expression The Jaro similari ... ty between two strings. Arguments: s2. SQL: jaro_similarity . jaro_winkler_similarity ( * args : ValueOrExpr ) → Expression The Jaro-Winkler similarity between two strings. Arguments ...
https://man.mtool.work/duckdb/2.0/clients/python/reference/
Vector Similarity Search Extension 9221
The vss extension is an experimental extension for DuckDB that adds indexing support to accelerate vector similarity search queries using DuckDB's new fixed-size ARRAY type. See the announcement blog post and the “What's New in the Vector Similarity ... ng DuckDB functions Metric Function Description l2sq array_distance Euclidean distance cosine array_cosine_distance Cosine similarity distance ip array_negative_inner_product Negative inner product Note that while each HNSW index only applies to a single c ... compaction of the index pruning deleted items, or re-create the index after a significant number of updates. Bonus: Vector Similarity Search Joins The vss extension also provides a couple of table macros to simplify matching multiple vectors against each o ... f the HNSW index but are provided as convenience utility functions for users who are ok with performing brute-force vector similarity searches without having to write out the join logic themselves. In the future these might become targets for index-based o ...
https://man.mtool.work/duckdb/2.0/core_extensions/vss.html
FROM and JOIN Clauses 8663
The FROM clause specifies the source of the data on which the remainder of the query should operate. Logically, the FROM clause is where the query starts execution. The FROM clause can contain a single table, a combination of multiple table ... oins was introduced in DuckDB 2.0. A nearest join matches each left side row with the top-k right side rows according to a similarity or distance measure. This turns top-k similarity search into a join clause, which is handy for vector and embedding worklo ... ads. The join is written as NEAREST ⟨k⟩ BY SIMILARITY ⟨expression⟩ (higher is closer) or NEAREST ⟨k⟩ BY DISTANCE ⟨expression⟩ (lower is closer). Prefixing it with APPROX perfor ... hich can be faster for large inputs: SELECT q.user_id, t.product_id FROM users q INNER JOIN products t APPROX NEAREST 2 BY SIMILARITY array_cosine_similarity(q.embedding, t.embedding); Nearest joins can be combined with the regular join types, for example ...
https://man.mtool.work/duckdb/2.0/sql/query_syntax/from.html
Array Type 8250
An ARRAY column stores fixed-sized arrays. All fields in the column must have the same length and the same underlying type. Arrays are typically used to store arrays of numbers, but can contain any uniform data type, including ARRAY , LIST ... FLOAT, 4.0::FLOAT)); Compute cross product: SELECT array_cross_product(x.v, y.v) FROM x, y WHERE x.i = y.i; Compute cosine similarity: SELECT array_cosine_similarity(x.v, y.v) FROM x, y WHERE x.i = y.i; Ordering The ordering of ARRAY instances is defined u ...
https://man.mtool.work/duckdb/2.0/sql/data_types/array.html
List Functions 7549
Function Description list[index] Extracts a single list element using a (1-based) index . list[begin[:end][:step]] Extracts a sublist using slice conventions . Negative values are accepted. list1 && list2 Alias for list_has_any . list1 <-> ... ins the element. list_cosine_distance(list1, list2) Computes the cosine distance between two same-sized lists. list_cosine_similarity(list1, list2) Computes the cosine similarity between two same-sized lists. list_count(list) Applies aggregate function cou ... same-sized lists. | | Example | list_cosine_distance([1, 2, 3], [1, 2, 3]) | | Result | 0.0 | | Alias | <=> | list_cosine_similarity(list1, list2) | Description | Computes the cosine similarity between two same-sized lists. | | Example | list_cosine_simil ...
https://man.mtool.work/duckdb/2.0/sql/functions/list.html
Core Extensions 7261
List of Core Extensions Name Description Maintainer Support tier Aliases autocomplete Autocompletion for CLI client DuckDB team avro Avro files reading DuckDB team aws AWS S3 functionality DuckDB team azure Filesystem abstraction for Azure ... nnectivity DuckDB team uc_catalog ui Local UI for DuckDB Third party vortex Vortex files read/write Third party vss Vector similarity search queries DuckDB team The Maintainer column denotes whether the extension is maintained by the DuckDB team or by a th ...
https://man.mtool.work/duckdb/2.0/core_extensions/overview.html
Friendly SQL 6704
DuckDB offers several advanced SQL features and syntactic sugar to make SQL queries more concise. We refer to these colloquially as “friendly SQL”. Several of these features were first introduced by DuckDB, while some are inspired by other ... RUCT creation Updating the schema of STRUCT s Join Types ASOF joins LATERAL joins POSITIONAL joins NEAREST joins for top-k similarity search, e.g., over embeddings Trailing Commas DuckDB allows trailing commas , both when listing entities (e.g., column and ...
https://man.mtool.work/duckdb/2.0/sql/dialect/friendly_sql.html
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