Results of 1 - 10 of about 14 for goose (0.004 sec.)
- JSON Processing Functions – DuckDB 11780
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...g . Examples: CREATE TABLE example ( j JSON ); INSERT INTO example VALUES ( '{ "family": "anatidae", "species": [ "duck", "goose", "swan", null ] }' ); SELECT json_extract ( j , '$.family' ) FROM example ; "anatidae" SELECT j -> '$.family' FROM exampl...e ; "anatidae" SELECT j -> '$.species[0]' FROM example ; "duck" SELECT j -> '$.species[*]' FROM example ; ["duck", "goose", "swan", null] SELECT j ->> '$.species[*]' FROM example ; [duck, goose, swan, null] SELECT j -> '$.species' -> 0 FROM exa...mple ; "duck" SELECT j -> 'species' -> [ '/0' , '/1' ] FROM example ; ['"duck"', '"goose"'] SELECT json_extract_string ( j , '$.family' ) FROM example ; anatidae SELECT j ->> '$.family' FROM example ; anatidae S... - https://man.mtool.work/duckdb/1.3/data/json/json_functions.html
- Functions – DuckDB 11780
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...be rewritten as arg1.fn(arg2, arg3, ...) . For example, take the following use of the replace function : SELECT replace ( goose_name , 'goose' , 'duck' ) AS duck_name FROM unnest ([ 'African goose' , 'Faroese goose' , 'Hungarian goose' , 'Pomeranian...goose' ]) breed ( goose_name ); This can be rewritten as follows: SELECT goose_name. replace ( 'goose' , 'duck' ) AS duck_name FROM unnest ([ 'Afr...ican goose' , 'Faroese goose' , 'Hungarian goose' , 'Pomeranian goose' ]) breed ( goose_name ); Using with Literals and Arrays To app... - https://man.mtool.work/duckdb/1.3/sql/functions/overview.html
- Loading JSON – DuckDB 11588
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...ow to read the JSON from a file. With unstructured , the top-level JSON is read, e.g., for birds.json : { "duck" : 42 } { "goose" : [ 1 , 2 , 3 ] } FROM read_json_objects ( 'birds.json' , format = 'unstructured' ); will result in two objects being rea...d: ┌──────────────────────────────┐ │ json │ │ json │ ├──────────────────────────────┤ │ {\n "duck": 42\n} │ │ {\n "goose": [1, 2, 3]\n} │ └──────────────────────────────┘ With newline_delimited , NDJSON is read, where each JSON is separated by...a newline ( \n ), e.g., for birds-nd.json : { "duck" : 42 } { "goose" : [ 1 , 2 , 3 ]} FROM read_json_objects ( 'birds-nd.json' , format = 'newline_delimited' ); will also result in two objec... - https://man.mtool.work/duckdb/1.3/data/json/loading_json.html
- ORDER BY Clause – DuckDB 10065
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...ABLE addresses AS SELECT '123 Quack Blvd' AS address , 'DuckTown' AS city , '11111' AS zip UNION ALL SELECT '111 Duck Duck Goose Ln' , 'DuckTown' , '11111' UNION ALL SELECT '111 Duck Duck Goose Ln' , 'Duck Town' , '11111' UNION ALL SELECT '111 Duck Du...ck Goose Ln' , 'Duck Town' , '11111-0001' ; Select the addresses, ordered by city name using the default NULL order and default ord...ress, then by city, then by zip) in ascending order: SELECT * FROM addresses ORDER BY ALL ; address city zip 111 Duck Duck Goose Ln Duck Town 11111 111 Duck Duck Goose Ln Duck Town 11111-0001 111 Duck Duck Goose Ln DuckTown 11111 123 Quack Blvd DuckTo... - https://man.mtool.work/duckdb/1.3/sql/query_syntax/orderby.html
- Creating JSON – DuckDB 9505
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...on ({ duck : 42 }); {"duck":42} SELECT to_json ( MAP ([ 'duck' ], [ 42 ])); {"duck":42} SELECT json_array ( 'duck' , 42 , 'goose' , 123 ); ["duck",42,"goose",123] SELECT json_object ( 'duck' , 42 , 'goose' , 123 ); {"duck":42,"goose":123} SELECT json_...merge_patch ( '{"duck": 42}' , '{"goose": 123}' ); {"goose":123,"duck":42} 関連キーワード json duck goose Create Alias list converted accepts argument merge patch... - https://man.mtool.work/duckdb/1.3/data/json/creating_json.html
- Node.js Client (Neo) – DuckDB 8122
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...ll, null, -42], // { "a": 42, "b": "??????" }, // [ // { "key": "key1", "value": "??????" }, // { "key": "key2", "value": "goose" } // ], // { "tag": "age", "value": 5 } // ] // ] const rowObjects = reader . getRowObjectsJson (); // [ // { // "int_arr.../ "struct": { "a": 42, "b": "??????" }, // "map": [ // { "key": "key1", "value": "??????" }, // { "key": "key2", "value": "goose" } // ], // "union": { "tag": "age", "value": 5 } // } // ] const columns = reader . getColumnsJson (); // [ // [ // [], /.../ { "a": 42, "b": "??????" } // ], // [ // [], // [ // { "key": "key1", "value": "??????" }, // { "key": "key2", "value": "goose"} // ] // ], // [ // { "tag": "name", "value": "Frank" }, // { "tag": "age", "value": 5 } // ] // ] const columnsObject =... - https://man.mtool.work/duckdb/1.3/clients/node_neo/overview.html
- List Type – DuckDB 7667
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...the list aggregate function. List of integers: SELECT [ 1 , 2 , 3 ]; List of strings with a NULL value: SELECT [ 'duck' , 'goose' , NULL , 'heron' ]; List of lists with NULL values: SELECT [[ 'duck' , 'goose' , 'heron' ], NULL , [ 'frog' , 'toad' ], [... - https://man.mtool.work/duckdb/1.3/sql/data_types/list.html
- Python DB API – DuckDB 7562
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...] Query using the $ notation for a prepared statement and reused values: con . execute ( "SELECT $1, $1, $2" , [ "duck" , "goose" ]) print ( con . fetchall ()) [('duck', 'duck', 'goose')] Warning Do not use executemany to insert large amounts of data... - https://man.mtool.work/duckdb/1.3/clients/python/dbapi.html
- Enum Data Type – DuckDB 7562
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...ect statement. First create an example table of values: CREATE TABLE my_inputs AS FROM ( VALUES ( 'duck' ), ( 'duck' ), ( 'goose' )) t ( my_varchar ); Create an anonymous enum value on the fly: SELECT 'happy' :: ENUM ( 'sad' , 'ok' , 'happy' ); This s...the birds enum using the enum_range function: SELECT enum_range ( NULL :: birds ) AS my_enum_range ; my_enum_range [duck, goose] Enum Usage After an enum has been created, it can be used anywhere a standard built-in type is used. For example, we can... - https://man.mtool.work/duckdb/1.3/sql/data_types/enum.html
- Struct Data Type – DuckDB 7457
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...{ 'x' : 1 , 'y' : 2 , 'z' : 3 } AS s ; Create a struct of strings with a NULL value: SELECT { 'yes' : 'duck' , 'maybe' : 'goose' , 'huh' : NULL , 'no' : 'heron' } AS s ; Create a struct with a different type for each key: SELECT { 'key1' : 'string' ,...1 , 'key3' : 12.345 } AS s ; Create a struct of structs with NULL values: SELECT { 'birds' : { 'yes' : 'duck' , 'maybe' : 'goose' , 'huh' : NULL , 'no' : 'heron' }, 'aliens' : NULL , 'amphibians' : { 'yes' : 'frog' , 'maybe' : 'salamander' , 'huh' : '... - https://man.mtool.work/duckdb/1.3/sql/data_types/struct.html
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