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Array Functions – DuckDB 15315
This page is for DuckDB 1.3, which is outdated. Switch to the current version . Search Shortcut cmd + k | ctrl + k Installation Documentation Getting Started Connect Overview Concurrency Data Import Overview Data Sources CSV Files Overview ... ion Description array_value(arg1, ...) Create an ARRAY containing the argument values. array_cross_product(array1, array2) Compute the cross product of two arrays of size 3. The array elements can not be NULL . array_cosine_similarity(array1, array2) Co ... L . The arrays can have any size as long as the size is the same for both arguments. array_cosine_distance(array1, array2) Compute the cosine distance between two arrays of the same size. The array elements can not be NULL . The arrays can have any size ... size is the same for both arguments. This is equivalent to 1.0 - array_cosine_similarity . array_distance(array1, array2) Compute the distance between two arrays of the same size. The array elements can not be NULL . The arrays can have any size as lon ...
https://man.mtool.work/duckdb/1.3/sql/functions/array.html
Sharing Macros – DuckDB 10607
This page is for DuckDB 1.3, which is outdated. Switch to the current version . Search Shortcut cmd + k | ctrl + k Installation Documentation Getting Started Connect Overview Concurrency Data Import Overview Data Sources CSV Files Overview ... ring a Table Macro It's also possible to share table macros. For example, we created the checksum macro as follows: duckdb compute_table_checksum.duckdb CREATE MACRO checksum ( table_name ) AS TABLE SELECT bit_xor ( md5_number ( COLUMNS ( * ):: VARCHAR ... installed: INSTALL httpfs ; You can attach to the remote endpoint and use the macro: ATTACH 'https://blobs.duckdb.org/data/compute_table_checksum.duckdb' AS compute_table_checksum_db ; CREATE TABLE stations AS FROM 'https://blobs.duckdb.org/stations.par ... quet' ; .mode line FROM compute_table_checksum_db. checksum ( 'stations' ); id = -132780776949939723506211681506129908318 code = 1263270040050662293058102 ...
https://man.mtool.work/duckdb/1.3/guides/snippets/sharing_macros.html
Window Functions – DuckDB 9266
This page is for DuckDB 1.3, which is outdated. Switch to the current version . Search Shortcut cmd + k | ctrl + k Installation Documentation Getting Started Connect Overview Concurrency Data Import Overview Data Sources CSV Files Overview ... , ordered by time and partitioned by region : SELECT row_number () OVER ( PARTITION BY region ORDER BY time ) FROM sales ; Compute the difference between the current and the previous-by- time amount : SELECT amount - lag ( amount ) OVER ( ORDER BY time ... ) FROM sales ; Compute the percentage of the total amount of sales per region for each row: SELECT amount / sum ( amount ) OVER ( PARTITION BY re ... n rows preceding or peer with current row) / total partition rows. If an ORDER BY clause is specified, the distribution is computed within the frame using the provided ordering instead of the frame ordering. Return type DOUBLE Example cume_dist() dense_ ...
https://man.mtool.work/duckdb/1.3/sql/functions/window_functions.html
Relational API – DuckDB 8780
This page is for DuckDB 1.3, which is outdated. Switch to the current version . Search Shortcut cmd + k | ctrl + k Installation Documentation Getting Started Connect Overview Concurrency Data Import Overview Data Sources CSV Files Overview ... ction contains the methods which can be used to chain queries. The methods are lazy evaluated . Name Description aggregate Compute the aggregate aggr_expr by the optional groups group_expr on the relation apply Compute the function of a single column or ... duckdb . DuckDBPyRelation , aggr_expr : object , group_expr : str = '' ) -> duckdb . duckdb . DuckDBPyRelation Description Compute the aggregate aggr_expr by the optional groups group_expr on the relation Parameters aggr_expr : str, list[Expression] The ... tr = '' , function_parameter : str = '' , projected_columns : str = '' ) -> duckdb . duckdb . DuckDBPyRelation Description Compute the function of a single column or a list of columns by the optional groups on the relation Parameters function_name : str ...
https://man.mtool.work/duckdb/1.3/clients/python/relational_api.html
List Functions – DuckDB 8663
This page is for DuckDB 1.3, which is outdated. Switch to the current version . Search Shortcut cmd + k | ctrl + k Installation Documentation Getting Started Connect Overview Concurrency Data Import Overview Data Sources CSV Files Overview ... e also || list_contains(list, element) Returns true if the list contains the element. list_cosine_similarity(list1, list2) Compute the cosine similarity between two lists. list_cosine_distance(list1, list2) Compute the cosine distance between two lists. ... ) Removes all duplicates and NULL values from a list. Does not preserve the original order. list_dot_product(list1, list2) Computes the dot product of two same-sized lists of numbers. list_negative_dot_product(list1, list2) Computes the negative dot pro ... 1, 2, NULL], 1) Result true Aliases list_has , array_contains , array_has list_cosine_similarity(list1, list2) Description Compute the cosine similarity between two lists. Example list_cosine_similarity([1, 2, 3], [1, 2, 5]) Result 0.9759000729485332 li ...
https://man.mtool.work/duckdb/1.3/sql/functions/list.html
GROUPING SETS – DuckDB 8545
This page is for DuckDB 1.3, which is outdated. Switch to the current version . Search Shortcut cmd + k | ctrl + k Installation Documentation Getting Started Connect Overview Concurrency Data Import Overview Data Sources CSV Files Overview ... uping over multiple dimensions within the same query. Note that this syntax is not compatible with GROUP BY ALL . Examples Compute the average income along the provided four different dimensions: -- the syntax () denotes the empty set (i.e., computing a ... treet_name , avg ( income ) FROM addresses GROUP BY GROUPING SETS (( city , street_name ), ( city ), ( street_name ), ()); Compute the average income along the same dimensions: SELECT city , street_name , avg ( income ) FROM addresses GROUP BY CUBE ( ci ... ty , street_name ); Compute the average income along the dimensions (city, street_name) , (city) and () : SELECT city , street_name , avg ( income ) F ...
https://man.mtool.work/duckdb/1.3/sql/query_syntax/grouping_sets.html
CREATE SCHEMA Statement – DuckDB 8545
This page is for DuckDB 1.3, which is outdated. Switch to the current version . Search Shortcut cmd + k | ctrl + k Installation Documentation Getting Started Connect Overview Concurrency Data Import Overview Data Sources CSV Files Overview ... CREATE TABLE s1.t ( id INTEGER PRIMARY KEY , other_id INTEGER ); CREATE TABLE s2.t ( id INTEGER PRIMARY KEY , j VARCHAR ); Compute a join between tables from two schemas: SELECT * FROM s1.t s1t , s2.t s2t WHERE s1t.other_id = s2t.id ; Syntax 関連キーワー ... ocumentation Statements Copy Markdown Statement statement creates catalog default main Examples exist replace exists table Compute join between tables Syntax 関連するページ USE Statement CREATE VIEW Statement List Tables CREATE TYPE Statement ALTER VIEW ...
https://man.mtool.work/duckdb/1.3/sql/statements/create_schema.html
GROUP BY Clause – DuckDB 8428
This page is for DuckDB 1.3, which is outdated. Switch to the current version . Search Shortcut cmd + k | ctrl + k Installation Documentation Getting Started Connect Overview Concurrency Data Import Overview Data Sources CSV Files Overview ... ntries in the addresses table that belong to each different city: SELECT city , count ( * ) FROM addresses GROUP BY city ; Compute the average income per city per street_name: SELECT city , street_name , avg ( income ) FROM addresses GROUP BY city , str ... ples Group by city and street_name to remove any duplicate values: SELECT city , street_name FROM addresses GROUP BY ALL ; Compute the average income per city per street_name. Since income is wrapped in an aggregate function, do not include it in the GR ...
https://man.mtool.work/duckdb/1.3/sql/query_syntax/groupby.html
Array Type – DuckDB 8294
This page is for DuckDB 1.3, which is outdated. Switch to the current version . Search Shortcut cmd + k | ctrl + k Installation Documentation Getting Started Connect Overview Concurrency Data Import Overview Data Sources CSV Files Overview ... , 2.0 :: FLOAT , 3.0 :: FLOAT )); INSERT INTO y VALUES ( 1 , array_value ( 2.0 :: FLOAT , 3.0 :: 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 arr ...
https://man.mtool.work/duckdb/1.3/sql/data_types/array.html
SQL on Apache Arrow – DuckDB 8177
This page is for DuckDB 1.3, which is outdated. Switch to the current version . Search Shortcut cmd + k | ctrl + k Installation Documentation Getting Started Connect Overview Concurrency Data Import Overview Data Sources CSV Files Overview ... filtering. This is similar to how DuckDB pushes column selections and filters down into an Arrow Dataset, but using Arrow compute operations instead. Arrow can use asynchronous IO to quickly access files. import duckdb import pyarrow as pa import tempf ... ile import pathlib import pyarrow.parquet as pq import pyarrow.dataset as ds import pyarrow.compute as pc # connect to an in-memory database con = duckdb . connect () my_arrow_table = pa . Table . from_pydict ({ 'i' : [ 1 ...
https://man.mtool.work/duckdb/1.3/guides/python/sql_on_arrow.html
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