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JSON Processing Functions – DuckDB 11924: This page is for DuckDB 1.3, which is outdated.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 ... les: 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 example ; "ana ... tidae" 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 example ; " ... 'family' ) AS family , json_extract ( j , 'species' ) AS species FROM example ; family species "anatidae" ["duck","goose","swan",null] The following produces the same result but is faster and more memory-efficient: WITH extracted AS ( SELECT json_ext ...; https://man.mtool.work/duckdb/1.3/data/json/json_functions.html

Loading JSON – DuckDB 8129: This page is for DuckDB 1.3, which is outdated.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 NULL : SELECT * FROM read_json ( [ 'birds1.json' , 'birds2.json' ], columns = { duck : 'INTEGER' , goose : 'INTEGER[]' , swan : 'DOUBLE' } ); duck goose swan 42 [1, 2, 3] NULL 43 [4, 5, 6] 3.3 DuckDB can automatically detect the types like so: SELE ...; https://man.mtool.work/duckdb/1.3/data/json/loading_json.html

JSON Overview – DuckDB 7813: This page is for DuckDB 1.3, which is outdated.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 ... it: CREATE TABLE example ( j JSON ); INSERT INTO example VALUES ( '{ "family": "anatidae", "species": [ "duck", "goose", "swan", null ] }' ); Retrieving JSON Data Retrieve the family key's value: SELECT j.family FROM example ; "anatidae" Extract the ...; https://man.mtool.work/duckdb/1.3/data/json/overview.html

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