⌘K ctrl+k
Search Shortcut cmd + k | ctrl + k
DuckDB 2.0 ドキュメント 全文検索
per page, with , order by , clip by
Results of 1 - 10 of about 11 for subqueries (0.002 sec.)
Subqueries 14314
Subqueries are parenthesized query expressions that appear as part of a larger, outer query. Subqueries are usually based on SELECT ... FROM , but in DuckDB other query constructs such as PIVOT can also appear as a subquery. Scalar Subquery ... Scalar subqueries are subqueries that return a single value. They can be used anywhere where an expression can be used. If a scalar subquery ... course this grade was obtained: SELECT course FROM grades WHERE grade = (SELECT min(grade) FROM grades); course Math ARRAY Subqueries Subqueries that return multiple values can be wrapped with ARRAY to collect all results in a list. SELECT ARRAY(SELECT gra ... de FROM grades) AS all_grades; all_grades [7, 9, 8] Subquery Comparisons: ALL , ANY and SOME In the section on scalar subqueries , a scalar expression was compared directly to a subquery using the equality comparison operator ( = ). Such direct compar ...
https://man.mtool.work/duckdb/2.0/sql/expressions/subqueries.html
IN Operator 9282
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 ... {'key1': 50, 'key2': 75}; true SELECT 'key3' IN MAP {'key1': 50, 'key2': 75}; false IN Subquery The IN operator works with subqueries that return a single column. For example: SELECT 42 IN (SELECT unnest([32, 42, 52]) AS x); true If the subquery returns mo ...
https://man.mtool.work/duckdb/2.0/sql/expressions/in.html
Order Preservation 9193
For many operations, DuckDB preserves the order of rows, similarly to data frame libraries such as Pandas. Example Take the following table for example: CREATE TABLE tbl AS SELECT * FROM (VALUES (1, 'a'), (2, 'b'), (3, 'c')) t(x, y); SELECT ... le table LIMIT OFFSET SELECT UNION ALL WHERE Window functions with an empty OVER clause Common table expressions and table subqueries as long as they only contain the aforementioned components Tip row_number() OVER () allows turning the original row order ... e same effect. The following operations do not guarantee that the row order is preserved: FROM with multiple tables and/or subqueries JOIN UNION USING SAMPLE Whole-table aggregation (the input order, that is, the order in which rows are fed into order-sens ... BY (neither in- nor output order are guaranteed) ORDER BY (specifically, ORDER BY may not use a stable algorithm ) Scalar subqueries Insertion Order By default, the following components preserve insertion order: CSV reader ( read_csv function) JSON reader ...
https://man.mtool.work/duckdb/2.0/sql/dialect/order_preservation.html
FROM and JOIN Clauses 8517
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 ... irport WHERE iata NOT IN (SELECT iata FROM airport_names WHERE iata IS NOT NULL); Lateral Joins The LATERAL keyword allows subqueries in the FROM clause to refer to previous subqueries. This feature is also known as a lateral join . SELECT * FROM range(3) ... t(i), LATERAL (SELECT i + 1) t2(j); i j 0 1 2 3 1 2 Lateral joins are a generalization of correlated subqueries, as they can return multiple values per input value rather than only a single value. SELECT * FROM generate_series(0, 1) t ... ws of the left side paired with their matching row from the right side (or NULL if there is no match). Similarly to scalar subqueries, it throws an error if a left row has more than one match (see the scalar_subquery_error_on_multiple_rows setting ). For e ...
https://man.mtool.work/duckdb/2.0/sql/query_syntax/from.html
DELETE Statement 8357
The DELETE statement removes rows from the table identified by the table-name. If the WHERE clause is not present, all records in the table are deleted. If a WHERE clause is supplied, then only those rows for which the WHERE clause results ... in the table tbl : DELETE FROM tbl; USING Clause The USING clause allows deleting based on the content of other tables or subqueries. RETURNING Clause The RETURNING clause allows returning the deleted values. It uses the same syntax as the SELECT clause e ...
https://man.mtool.work/duckdb/2.0/sql/statements/delete.html
Lambda Functions 8197
DuckDB lambda functions (a.k.a. 'lambdas' or 'lambda expressions') are expressions that define an inline anonymous function. Lambdas are passed as argument to certain list functions , which evaluate the passed lambda expression against its ... x, y, i: x || ' - ' || CAST(i AS VARCHAR) || ' - ' || y, 'INITIAL' ); INITIAL - 1 - a - 2 - b - 3 - c - 4 - d Limitations Subqueries in lambda expressions are currently not supported. For example: sql SELECT list_apply([1, 2, 3], lambda x: (SELECT 42) + x ... ); console Binder Error: subqueries in lambda expressions are not supported 2) The expression can contain macro calls, but only if the macro is a scalar macro ...
https://man.mtool.work/duckdb/2.0/sql/functions/lambda.html
CREATE MACRO Statement 8161
The CREATE MACRO statement defines a named, callable SQL expression as a database schema object. Macros may declare parameters, which can be referenced by its expression. Once a macro is created, it may be called by referencing its name and ... rguments: SELECT 40 + 2 AS x; Limitations Using Subquery Macros Table macros as well as scalar macros defined using scalar subqueries cannot be used in the arguments of table functions. DuckDB will return the following error: Binder Error: Table function c ... annot contain subqueries Overloads Overloads for macro functions have to be set at creation, it is not possible to define a macro by the same name ...
https://man.mtool.work/duckdb/2.0/sql/statements/create_macro.html
Friendly SQL 8001
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 ... some criteria is a common task in SQL that unfortunately often requires a complex query involving window functions and/or subqueries. To aid in this, DuckDB provides the aggregate functions max(arg, n) , min(arg, n) , arg_max(arg, val, n) , arg_min(arg, v ...
https://man.mtool.work/duckdb/2.0/sql/dialect/friendly_sql.html
Securing DuckDB 7948
DuckDB is a powerful analytical database engine. It can read and write files, access the network, load extensions, and use system resources. Like any powerful tool, these capabilities require appropriate configuration when working with sens ... re. Filter expressions: Some APIs accept filter expressions that are compiled into DuckDB expressions, which often support subqueries containing arbitrary SQL. Treat these with the same caution as SQL. Recommendations: Validate and sanitize all user-provid ...
https://man.mtool.work/duckdb/2.0/operations_manual/securing_duckdb/overview.htm...
SQL Introduction 7895
This page provides an overview of how to perform simple operations in SQL. This tutorial is only intended to give you an introduction and is in no way a complete tutorial on SQL. This tutorial is adapted from the PostgreSQL tutorial . DuckD ... troduction, check the slide decks of the “Tabular Database Systems” course : The Structured Query Language (SQL) More SQL (Subqueries + Embedded SQL) SQL: Grouping + Aggregation and Functional Dependencies Concepts DuckDB is a relational database managemen ...
https://man.mtool.work/duckdb/2.0/sql/introduction.html
PREV 1 2 NEXT
DuckDB 2.0 Documentation / man.mtool.work