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GROUP BY Clause – DuckDB 11929
This page is for DuckDB 1.3, which is outdated.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 ... ET / RESET SET VARIABLE SUMMARIZE Transaction Management UNPIVOT UPDATE USE VACUUM Query Syntax SELECT FROM and JOIN WHERE GROUP BY GROUPING SETS HAVING ORDER BY LIMIT and OFFSET SAMPLE Unnesting WITH WINDOW QUALIFY VALUES FILTER Set Operations Prepar ... view Storage Versions and Format Execution Format Pivot Sitemap Live Demo Documentation / SQL / Query Syntax Copy Markdown GROUP BY Clause The GROUP BY clause specifies which grouping columns should be used to perform any aggregations in the SELECT cl ... ause. If the GROUP BY clause is specified, the query is always an aggregate query, even if no aggregations are present in the SELECT clause. ...
https://man.mtool.work/duckdb/1.3/sql/query_syntax/groupby.html
GROUPING SETS – DuckDB 11145
This page is for DuckDB 1.3, which is outdated.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 ... ET / RESET SET VARIABLE SUMMARIZE Transaction Management UNPIVOT UPDATE USE VACUUM Query Syntax SELECT FROM and JOIN WHERE GROUP BY GROUPING SETS HAVING ORDER BY LIMIT and OFFSET SAMPLE Unnesting WITH WINDOW QUALIFY VALUES FILTER Set Operations Prepar ... view Storage Versions and Format Execution Format Pivot Sitemap Live Demo Documentation / SQL / Query Syntax Copy Markdown GROUPING SETS GROUPING SETS , ROLLUP and CUBE can be used in the GROUP BY clause to perform a grouping 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 em ...
https://man.mtool.work/duckdb/1.3/sql/query_syntax/grouping_sets.html
PIVOT Statement – DuckDB 10114
This page is for DuckDB 1.3, which is outdated.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 ... ET / RESET SET VARIABLE SUMMARIZE Transaction Management UNPIVOT UPDATE USE VACUUM Query Syntax SELECT FROM and JOIN WHERE GROUP BY GROUPING SETS HAVING ORDER BY LIMIT and OFFSET SAMPLE Unnesting WITH WINDOW QUALIFY VALUES FILTER Set Operations Prepar ... PIVOT syntax can be summarized using spreadsheet pivot table naming conventions as: PIVOT dataset ON columns USING values GROUP BY rows ORDER BY columns_with_order_directions LIMIT number_of_rows ; The ON , USING , and GROUP BY clauses are each optio ... use. In DuckDB, the PIVOT statement currently does not support these and they are silently ignored. PIVOT ON , USING , and GROUP BY By default, the PIVOT statement retains all columns not specified in the ON or USING clauses. To include only certain c ...
https://man.mtool.work/duckdb/1.3/sql/statements/pivot.html
Regular Expressions – DuckDB 9577
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 ... ET / RESET SET VARIABLE SUMMARIZE Transaction Management UNPIVOT UPDATE USE VACUUM Query Syntax SELECT FROM and JOIN WHERE GROUP BY GROUPING SETS HAVING ORDER BY LIMIT and OFFSET SAMPLE Unnesting WITH WINDOW QUALIFY VALUES FILTER Set Operations Prepar ... e RE2 docs . Functions All functions accept an optional set of options . Name Description regexp_extract(string, pattern[, group = 0][, options]) If string contains the regexp pattern , returns the capturing group specified by optional parameter group ... ; otherwise, returns the empty string. The group must be a constant value. If no group is given, it defaults to 0. A set of optional options can be set. regexp_extract(str ...
https://man.mtool.work/duckdb/1.3/sql/functions/regular_expressions.html
Parquet Tips – DuckDB 8731
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 ... ET / RESET SET VARIABLE SUMMARIZE Transaction Management UNPIVOT UPDATE USE VACUUM Query Syntax SELECT FROM and JOIN WHERE GROUP BY GROUPING SETS HAVING ORDER BY LIMIT and OFFSET SAMPLE Unnesting WITH WINDOW QUALIFY VALUES FILTER Set Operations Prepar ... nce: COPY ( FROM generate_series ( 10_000_000 )) TO 'test.parquet' ( FORMAT parquet , PER_THREAD_OUTPUT ); Selecting a ROW_GROUP_SIZE The ROW_GROUP_SIZE parameter specifies the minimum number of rows in a Parquet row group, with a minimum value equal ... to DuckDB's vector size, 2,048, and a default of 122,880. A Parquet row group is a partition of rows, consisting of a column chunk for each column in the dataset. Compression algorithms are only appli ...
https://man.mtool.work/duckdb/1.3/data/parquet/tips.html
File Formats – DuckDB 8308
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 ... ET / RESET SET VARIABLE SUMMARIZE Transaction Management UNPIVOT UPDATE USE VACUUM Query Syntax SELECT FROM and JOIN WHERE GROUP BY GROUPING SETS HAVING ORDER BY LIMIT and OFFSET SAMPLE Unnesting WITH WINDOW QUALIFY VALUES FILTER Set Operations Prepar ... un many queries on the same dataset, load the Parquet files into the database first. The compression algorithm and the row group sizes in the Parquet files have a large effect on performance: study these using the parquet_metadata function . The Effec ... t of Row Group Sizes DuckDB works best on Parquet files with row groups of 100K-1M rows each. The reason for this is that DuckDB can only ...
https://man.mtool.work/duckdb/1.3/guides/performance/file_formats.html
Friendly SQL – DuckDB 8246
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 ... ET / RESET SET VARIABLE SUMMARIZE Transaction Management UNPIVOT UPDATE USE VACUUM Query Syntax SELECT FROM and JOIN WHERE GROUP BY GROUPING SETS HAVING ORDER BY LIMIT and OFFSET SAMPLE Unnesting WITH WINDOW QUALIFY VALUES FILTER Set Operations Prepar ... SELECT clause : DuckDB allows queries in the form of FROM tbl which selects all columns (performing a SELECT * statement). GROUP BY ALL : omit the group-by columns by inferring them from the list of attributes in the SELECT clause. ORDER BY ALL : shor ... tables to long tables. Defining SQL-level variables: SET VARIABLE RESET VARIABLE Query Features Column aliases in WHERE , GROUP BY , and HAVING . (Note that column aliases cannot be used in the ON clause of JOIN clauses .) COLUMNS() expression can be ...
https://man.mtool.work/duckdb/1.3/sql/dialect/friendly_sql.html
Relational API – DuckDB 7999
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 ... ET / RESET SET VARIABLE SUMMARIZE Transaction Management UNPIVOT UPDATE USE VACUUM Query Syntax SELECT FROM and JOIN WHERE GROUP BY GROUPING SETS HAVING ORDER BY LIMIT and OFFSET SAMPLE Unnesting WITH WINDOW QUALIFY VALUES FILTER Set Operations Prepar ... 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 a list of columns by the optional groups on t ... the provided expressions aggregate Signature aggregate ( self : duckdb . duckdb . DuckDBPyRelation , aggr_expr : object , group_expr : str = '' ) -> duckdb . duckdb . DuckDBPyRelation Description Compute the aggregate aggr_expr by the optional groups ...
https://man.mtool.work/duckdb/1.3/clients/python/relational_api.html
Aggregate Functions – DuckDB 7215
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 ... ET / RESET SET VARIABLE SUMMARIZE Transaction Management UNPIVOT UPDATE USE VACUUM Query Syntax SELECT FROM and JOIN WHERE GROUP BY GROUPING SETS HAVING ORDER BY LIMIT and OFFSET SAMPLE Unnesting WITH WINDOW QUALIFY VALUES FILTER Set Operations Prepar ... amount column: SELECT sum ( amount ) FROM sales ; Produce one row per unique region, containing the sum of amount for each group: SELECT region , sum ( amount ) FROM sales GROUP BY region ; Return only the regions that have a sum of amount higher than ... 100: SELECT region FROM sales GROUP BY region HAVING sum ( amount ) > 100 ; Return the number of unique values in the region column: SELECT count ( DISTINCT r ...
https://man.mtool.work/duckdb/1.3/sql/functions/aggregates.html
Integration with Ibis – DuckDB 7030
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 ... ET / RESET SET VARIABLE SUMMARIZE Transaction Management UNPIVOT UPDATE USE VACUUM Query Syntax SELECT FROM and JOIN WHERE GROUP BY GROUPING SETS HAVING ORDER BY LIMIT and OFFSET SAMPLE Unnesting WITH WINDOW QUALIFY VALUES FILTER Set Operations Prepar ... mn names except one is a little annoying. Instead of doing that again, we can use a selector to quickly select or deselect groups of columns. import ibis.selectors as s penguins . mutate ( bill_length_cm = penguins . bill_length_mm / 10 ). select ( ~ ... ┤ │ 200.915205 │ 21.5 │ └─────────────────────────┴────────────────────┘ But aggregate really shines when it's paired with group_by . group_by group_by creates groupings of rows that have the same value for one or more columns. But it doesn't do much ...
https://man.mtool.work/duckdb/1.3/guides/python/ibis.html
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