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Map Functions – DuckDB 13161: This page is for DuckDB 1.3, which is outdated.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 ... , key) Checks if a map contains a given key. map_contains_entry(map, key, value) Check if a map contains a given key-value pair. map_contains_value(map, value) Checks if a map contains a given value. map_entries(map) Return a list of struct(k, v) for ... each key-value pair in the map. map_extract(map, key) Return the value for a given key as a list, or an empty list if the key is not contained ... 'key3': 30}, 'key2') Result true map_contains_entry(map, key, value) Description Check if a map contains a given key-value pair. Example map_contains_entry(MAP {'key1': 10, 'key2': 20, 'key3': 30}, 'key2', 20) Result true map_contains_value(map, valu ...; https://man.mtool.work/duckdb/1.3/sql/functions/map.html

VACUUM Statement – DuckDB 8792: This page is for DuckDB 1.3, which is outdated.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 ... ely going to change in the future. Examples No-op: VACUUM ; No-op: VACUUM ANALYZE ; Calling VACUUM on a given table-column pair rebuilds statistics for the table and column: VACUUM my_table ( my_column ); Rebuild statistics for the table and column: ...; https://man.mtool.work/duckdb/1.3/sql/statements/vacuum.html

CREATE INDEX Statement – DuckDB 8554: This page is for DuckDB 1.3, which is outdated.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 ... ndex type, see Indexes . Optional. option Index option in the form of a Boolean true value (e.g., is_cool ) or a key-value pair (e.g., my_option = 2 ). Optional. Syntax DROP INDEX DROP INDEX drops an existing index from the database system. Examples ...; https://man.mtool.work/duckdb/1.3/sql/statements/create_index.html

Building DuckDB from Source – DuckDB 8317: This page is for DuckDB 1.3, which is outdated.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 ... 11 and CentOS 7/8 using the instructions provided for macOS and Linux. Amalgamation Build DuckDB can be build as a single pair of C++ header and source code files ( duckdb.hpp and duckdb.cpp ) with approximately 0.5M lines of code. To generate this ...; https://man.mtool.work/duckdb/1.3/dev/building/overview.html

FROM and JOIN Clauses – DuckDB 8097: 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 ... how they are written in the join clause. Each result row has the columns from both relations. A join uses a rule to match pairs of rows from each relation. Often this is a predicate, but there are other implied rules that may be specified. Outer Joi ... least once) FULL (All rows from both relations appear at least once) A join that is not OUTER is INNER (only rows that get paired are returned). When an unpaired row is returned, the attributes from the other table are set to NULL . Cross Product Joi ... implest type of join is a CROSS JOIN . There are no conditions for this type of join, and it just returns all the possible pairs. Return all pairs of rows: SELECT a . * , b . * FROM a CROSS JOIN b ; This is equivalent to omitting the JOIN clause: SEL ...; https://man.mtool.work/duckdb/1.3/sql/query_syntax/from.html

Integration with Ibis – DuckDB 7860: 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 ... │ 2007 │ │ … │ … │ … │ └─────────┴───────────┴───────┘ Or you can use column objects directly (this can be convenient when paired with tab-completion): penguins . select ( penguins . species , penguins . island , penguins . year ). limit ( 3 ) ┏━━━━━ ... ────────────┤ │ 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 doe ... sn't do much on its own – you can pair it with aggregate to get a result. penguins . group_by ( "species" ). aggregate () ┏━━━━━━━━━━━┓ ┃ species ┃ ┡━━━━━━━━━━━┩ ...; https://man.mtool.work/duckdb/1.3/guides/python/ibis.html

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