The UNPIVOT statement allows multiple columns to be stacked into fewer columns. In the basic case, multiple columns are stacked into two columns: a NAME column (which contains the name of the source column) and a VALUE column (which contains the value from the source column). DuckDB implements both the SQL Standard UNPIVOT syntax and a simplified UNPIVOT syntax. Both can utilize a COLUMNS expression to automatically detect the columns to unpivot. PIVOT_LONGER may also be used in place of the ...| DuckDB
The PIVOT statement allows distinct values within a column to be separated into their own columns. The values within those new columns are calculated using an aggregate function on the subset of rows that match each distinct value. DuckDB implements both the SQL Standard PIVOT syntax and a simplified PIVOT syntax that automatically detects the columns to create while pivoting. PIVOT_WIDER may also be used in place of the PIVOT keyword. For details on how the PIVOT statement is implemented, se...| DuckDB
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 tables that are joined together using JOIN clauses, or another SELECT query inside a subquery node. DuckDB also has an optional FROM-first syntax which enables you to also query without a SELECT statement. Examples Select all columns from the table called table_...| DuckDB
There are five nested data types: Name Type page Functions page ARRAY ARRAY type ARRAY functions LIST LIST type LIST functions MAP MAP type MAP functions STRUCT STRUCT type STRUCT functions UNION UNION type UNION functions| DuckDB
Examples Read a set of CSV files combining columns by position: SELECT * FROM read_csv('flights*.csv'); Read a set of CSV files combining columns by name: SELECT * FROM read_csv('flights*.csv', union_by_name = true); Combining Schemas When reading from multiple files, we have to combine schemas from those files. That is because each file has its own schema that can differ from the other files. DuckDB offers two ways of unifying schemas of multiple files: by column position and by column name....| DuckDB
The httpfs extension is an autoloadable extension implementing a file system that allows reading remote/writing remote files. For plain HTTP(S), only file reading is supported. For object storage using the S3 API, the httpfs extension supports reading/writing/globbing files. Installation and Loading The httpfs extension will be, by default, autoloaded on first use of any functionality exposed by this extension. To manually install and load the httpfs extension, run: INSTALL httpfs; LOAD httpf...| DuckDB
DuckDB is an in-process SQL database management system focused on analytical query processing. It is designed to be easy to install and easy to use. DuckDB has no external dependencies. DuckDB has bindings for C/C++, Python, R, Java, Node.js, Go and other languages.| DuckDB
DuckDB is an in-process SQL database management system focused on analytical query processing. It is designed to be easy to install and easy to use. DuckDB has no external dependencies. DuckDB has bindings for C/C++, Python, R, Java, Node.js, Go and other languages.| DuckDB
