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Struct Data Type 13432
Conceptually, a STRUCT column contains an ordered list of columns called “entries”. The entries are referenced by name using strings. This document refers to those entry names as keys. Each row in the STRUCT column must have the same keys. ... n engine, and also enforces type consistency for improved correctness. Structs with unnamed entries are represented by the TUPLE type , which can be created using the row function or the (expr, ...) notation. See an example below and the STRUCT functi ... he equivalent array notation {'name': expr, ...} , or using a row variable. To create a struct with unnamed entries, use a tuple . Create a struct using the struct_pack function. Note the lack of single quotes around the keys and the use of the := ope ... t (s STRUCT) are valid, and struct_pack() with no arguments returns {} (whereas row() with no arguments returns the empty tuple () ). Note that STRUCT() with empty parentheses remains a syntax error, and unnest and struct_extract raise an error on an ...
https://man.mtool.work/duckdb/2.0/sql/data_types/struct.html
Struct Functions 12587
The functions on this page work on STRUCT values . Functions that access entries by position, such as struct[idx] , struct_extract_at , struct_contains , struct_position and struct_values , also accept TUPLE values , i.e., structs with unna ... med entries. struct_concat accepts either only STRUCT s or only TUPLE s. Functions that work with entry names, i.e., struct_insert , struct_keys , struct_update and remap_struct , require a ST ... alias for struct_extract from named STRUCT s. struct[idx] Bracket notation that serves as an alias for struct_extract from TUPLE s, using an index (1-based). remap_struct(input, target_type, mapping, defaults) Remap a STRUCT , LIST , or MAP value into ... ing and reordering fields, descending into nested types, and filling missing fields from defaults . row(any, ...) Create a TUPLE containing the argument values. struct_concat(structs...) Merge the multiple structs into a single STRUCT . struct_contain ...
https://man.mtool.work/duckdb/2.0/sql/functions/struct.html
IN Operator 9345
The IN operator checks containment of the left expression inside the collection on the right hand side (RHS). Supported collections on the RHS are tuples, lists, and maps, as well as subqueries that return a single column. The single-column ... restriction applies only to subqueries; tuples, lists, and maps may themselves contain composite values. IN (val1, val2, ...) (Tuple) The IN operator on a tuple (val1, ... LL IN [val1, val2, ...] (List) The IN operator works on lists according to the semantics used in Python. Unlike for the IN tuple operator , the presence of NULL values on the right hand side of the expression does not make a difference in the result: ...
https://man.mtool.work/duckdb/2.0/sql/expressions/in.html
Data Types 9276
General-Purpose Data Types The table below shows all the built-in general-purpose data types. The alternatives listed in the aliases column can be used to refer to these types as well, however, note that the aliases are not part of the SQL ... page for details. Nested / Composite Types DuckDB supports the following nested data types: ARRAY , LIST , MAP , STRUCT , TUPLE , UNION and VARIANT . Each supports different use cases and has a different structure. Name Description Rules when used in ... e can be a different type for each key. Each row must have the same keys. {'i': 42, 'j': 'a'} STRUCT(i INTEGER, j VARCHAR) TUPLE A sequence of multiple unnamed values, accessed by position, where the value can be a different type for each position. Ea ... ch row must have the same number of entries with the same types. (42, 'a') TUPLE(INTEGER, VARCHAR) UNION A union of multiple alternative data types, storing one of them in each value at a time. A union a ...
https://man.mtool.work/duckdb/2.0/sql/data_types/overview.html
Python Client API 8742
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 ... ted: use to_arrow_reader() instead. Detailed examples can be found at Relational API page . fetchall ( ) → builtins.list [ tuple [ Any , ... ] ] Execute and fetch all rows as a list of tuples. Detailed examples can be found at Relational API page . fe ... t in other_rel. Detailed examples can be found at Relational API page . iter_rows ( batch_size : int = 1024 ) → Iterator [ tuple [ Any , ... ] ] Every row, a batch at a time, over one run of the relation. The rows are read once into the engine's memor ... → DuckDBPyRelation Rename the relation object to new alias. Detailed examples can be found at Relational API page . shape Tuple of # of rows, # of columns in relation. Detailed examples can be found at Relational API page . show ( * , max_width : int ...
https://man.mtool.work/duckdb/2.0/clients/python/reference/
INSERT Statement 8517
The INSERT statement inserts new data into a table. Examples Insert the values 1, 2, 3 into tbl : INSERT INTO tbl VALUES (1), (2), (3); Insert the result of a query into a table: INSERT INTO tbl SELECT * FROM other_tbl; Insert values into t ... he conflicts that don't meet this condition are ignored instead. Because we need a way to refer to both the to-be-inserted tuple and the existing tuple, we introduce the special EXCLUDED qualifier. When the EXCLUDED qualifier is provided, the referenc ... e refers to the to-be-inserted tuple, otherwise, it refers to the existing tuple. This special qualifier can be used within the WHERE clauses and SET expressio ...
https://man.mtool.work/duckdb/2.0/sql/statements/insert.html
Nested Functions 8362
The following nested data types have dedicated function pages ( TUPLE values are handled by the STRUCT functions): Name Type page Functions page ARRAY ARRAY type ARRAY functions LIST LIST type LIST functions MAP MAP type MAP functions STRUC ...
https://man.mtool.work/duckdb/2.0/sql/functions/nested.html
Run Queries 7983
Overview A Connection runs SQL through two families of methods: The execute_* methods ( execute() and execute_batch() ) send statements that do not return rows, such as INSERT or DDL, and report the number of affected rows. The query_* meth ... w in one call, without preparing a statement by hand. The <(T,)>::try_from(row) helper converts a single-column row into a tuple: let count = conn.query_row( "SELECT count(*) FROM person", [], |row| row.get::<_, i64>(0), )?; // A whole row can be conv ... erted to a tuple in one step. let (n,) = conn.query_row("SELECT count(*) FROM person", [], |row| { <(i64,)>::try_from(row) })?; query_row_a ...
https://man.mtool.work/duckdb/2.0/clients/rust/querying.html
Data Import 7983
Recommended Import Methods When importing data from other systems to DuckDB, there are several considerations to take into account. We recommend importing using the following order: For systems which are supported by a DuckDB scanner extens ... ble in the C, C++, Go, Java, Julia, Node.js, Python and Rust APIs. Methods to Avoid If possible, avoid looping row-by-row (tuple-at-a-time) in favor of bulk operations. Performing row-by-row inserts (even with prepared statements) is detrimental to pe ...
https://man.mtool.work/duckdb/2.0/guides/performance/import.html
Executing SQL in Python 7759
SQL queries can be executed using the duckdb.sql function. import duckdb duckdb.sql("SELECT 42").show() By default this will create a relation object. The result can be converted to various formats using the result conversion functions. For ... e", params={"value": 42}, ).fetchall() The params list or dictionary is copied when sql is called, together with any list, tuple or dictionary inside it. Other values are converted each time the relation is read, so a bytearray changed in place afterw ...
https://man.mtool.work/duckdb/2.0/guides/python/execute_sql.html
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