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Extend synthetic data generation #3737

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Sep 27, 2024
Merged

Extend synthetic data generation #3737

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d50524b
nit
szarnyasg Sep 27, 2024
cfa943d
Add more examples for using faker
szarnyasg Sep 27, 2024
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2 changes: 1 addition & 1 deletion _posts/2023-07-07-python-udf.md
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Expand Up @@ -69,14 +69,14 @@ con.create_function("wc_titles", world_cups, [VARCHAR], INTEGER)
```

That's it, the function is then registered and ready to be called through SQL.

```python
# Let's create an example countries table with the countries we are interested in using
con.execute("CREATE TABLE countries(country VARCHAR)")
con.execute("INSERT INTO countries VALUES ('Brazil'), ('Germany'), ('Italy'), ('Argentina'), ('Uruguay'), ('France'), ('England'), ('Spain'), ('Netherlands')")
# We can simply call the function through SQL, and even use the function return to eliminate the countries that never won a world cup
con.sql("SELECT country, wc_titles(country) as world_cups from countries").fetchall()
# [('Brazil', 5), ('Germany', 4), ('Italy', 4), ('Argentina', 2), ('Uruguay', 2), ('France', 2), ('England', 1), ('Spain', 1), ('Netherlands', None)]

```

### Generating Fake Data with Faker (Built-In Type UDF)
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24 changes: 20 additions & 4 deletions docs/guides/snippets/create_synthetic_data.md
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Expand Up @@ -21,13 +21,29 @@ import duckdb
from duckdb.typing import *
from faker import Faker

fake = Faker()

def random_date():
fake = Faker()
return fake.date_between()

duckdb.create_function("random_date", random_date, [], DATE, type="native", side_effects=True)
res = duckdb.sql("""
SELECT hash(i * 10 + j) AS id, random_date() AS creationDate, IF (j % 2, true, false)
def random_short_text():
return fake.text(max_nb_chars=20)

def random_long_text():
return fake.text(max_nb_chars=200)

con = duckdb.connect()
con.create_function("random_date", random_date, [], DATE, type="native", side_effects=True)
con.create_function("random_short_text", random_short_text, [], VARCHAR, type="native", side_effects=True)
con.create_function("random_long_text", random_long_text, [], VARCHAR, type="native", side_effects=True)

res = con.sql("""
SELECT
hash(i * 10 + j) AS id,
random_date() AS creationDate,
random_short_text() AS short,
random_long_text() AS long,
IF (j % 2, true, false) AS bool
FROM generate_series(1, 5) s(i)
CROSS JOIN generate_series(1, 2) t(j)
""")
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