jayzhan211 commented on issue #12023:
URL: https://github.com/apache/datafusion/issues/12023#issuecomment-2292414939
I check the behaviour from Duckdb and Postgres, it is not the same as what
Spark SQL is
```
D create table t(a int);
D insert into t values(1);
D insert into t values(2);
D select count(a < 0) from t;
┌────────────────┐
│ count((a < 0)) │
│ int64 │
├────────────────┤
│ 2 │
└────────────────┘
```
```
postgres=# create table t(a int);
CREATE TABLE
postgres=# insert into t values (1);
INSERT 0 1
postgres=# insert into t values (2);
INSERT 0 1
postgres=# select count(a > 10) from t;
count
-------
2
(1 row)
```
Given the behaviour is consistent with both Duckdb and Postgres. I suggest
we leave the function alone, but instead
1. Write the spark-compatible count function downstream
2. Bring spark-compatible functions to datafusion
3. Configure count function so the user could choose what dialect to use
(Postgres, DuckDB or Spark or others)
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