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Create Synthetic Data – DuckDB 11228: This page is for DuckDB 1.3, which is outdated.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 ... quickly generate synthetic data sets. To do so, you may use: range functions hash functions, e.g., hash , md5 , sha256 the Faker Python package via the Python function API using cross products (Cartesian products) For example: import duckdb from duckd ... b.typing import * from faker import Faker fake = Faker () def random_date (): return fake . date_between () def random_short_text (): return fake . tex ... columns │ └───────────────────────────────────────────────┘ 関連キーワード random text date short long fake generate hash Faker import duckdb return create type native side effects functions products chars creationDate series Documentation Guides Sni ...; https://man.mtool.work/duckdb/1.3/guides/snippets/create_synthetic_data.html

Python Function API – DuckDB 7485: This page is for DuckDB 1.3, which is outdated.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 ... ere is an example using a Python function that calls a third-party library. import duckdb from duckdb.typing import * from faker import Faker def generate_random_name (): fake = Faker () return fake . name () duckdb . create_function ( "random_name" , ... y a single value to be returned. This can be useful to interact with Python libraries that don't operate on Arrow, such as faker : import duckdb from duckdb.typing import * from faker import Faker def random_date (): fake = Faker () return fake . date ...; https://man.mtool.work/duckdb/1.3/clients/python/function.html

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