Say I have the following data:

import duckdb
rel = duckdb.sql("""
    FROM VALUES
        ([{'a': 'foo', 'b': 'bta'}]),
        ([]),
        ([{'a': 'jun', 'b': 'jul'}, {'a':'nov', 'b': 'obt'}])
        df(my_col)
    SELECT *
""")

which looks like this:

┌──────────────────────────────────────────────┐
│                    my_col                    │
│        struct(a varchar, b varchar)[]        │
├──────────────────────────────────────────────┤
│ [{'a': foo, 'b': bta}]                       │
│ []                                           │
│ [{'a': jun, 'b': jul}, {'a': nov, 'b': obt}] │
└──────────────────────────────────────────────┘

I would like to keep all rows where for any of the items in one of the elements of 'my_col', field 'a' contains the substring 'bt'

So, expected output:

┌──────────────────────────────────────────────┐
│                    my_col                    │
│        struct(a varchar, b varchar)[]        │
├──────────────────────────────────────────────┤
│ [{'a': foo, 'b': bta}]                       │
│ [{'a': jun, 'b': jul}, {'a': nov, 'b': obt}] │
└──────────────────────────────────────────────┘

How can I write a SQL query to do that?

Say I have the following data:

import duckdb
rel = duckdb.sql("""
    FROM VALUES
        ([{'a': 'foo', 'b': 'bta'}]),
        ([]),
        ([{'a': 'jun', 'b': 'jul'}, {'a':'nov', 'b': 'obt'}])
        df(my_col)
    SELECT *
""")

which looks like this:

┌──────────────────────────────────────────────┐
│                    my_col                    │
│        struct(a varchar, b varchar)[]        │
├──────────────────────────────────────────────┤
│ [{'a': foo, 'b': bta}]                       │
│ []                                           │
│ [{'a': jun, 'b': jul}, {'a': nov, 'b': obt}] │
└──────────────────────────────────────────────┘

I would like to keep all rows where for any of the items in one of the elements of 'my_col', field 'a' contains the substring 'bt'

So, expected output:

┌──────────────────────────────────────────────┐
│                    my_col                    │
│        struct(a varchar, b varchar)[]        │
├──────────────────────────────────────────────┤
│ [{'a': foo, 'b': bta}]                       │
│ [{'a': jun, 'b': jul}, {'a': nov, 'b': obt}] │
└──────────────────────────────────────────────┘

How can I write a SQL query to do that?

• python
• duckdb

1 Answer 1

Maybe list_sum() the bools or list_bool_or()?

• https://duckdb./docs/stable/sql/functions/list.html#list_-rewrite-functions

duckdb.sql("""
FROM VALUES
    ([{'a': 'foo', 'b': 'bta'}]),
    ([]),
    ([{'a': 'jun', 'b': 'jul'}, {'a':'nov', 'b': 'obt'}])
    df(my_col)
SELECT *
WHERE list_bool_or(['bt' in s.b for s in my_col])
""")

┌──────────────────────────────────────────────┐
│                    my_col                    │
│        struct(a varchar, b varchar)[]        │
├──────────────────────────────────────────────┤
│ [{'a': foo, 'b': bta}]                       │
│ [{'a': jun, 'b': jul}, {'a': nov, 'b': obt}] │
└──────────────────────────────────────────────┘

The list comprehension is the same as list_apply(my_col, s -> 'bt' in s.b)