use arrow_schema::DataType;
use lance_core::datatypes::{LANCE_UNENFORCED_PRIMARY_KEY, LANCE_UNENFORCED_PRIMARY_KEY_POSITION};
use crate::error::{Error, Result};
use crate::table::NativeTable;
pub(super) async fn set_unenforced_primary_key(
table: &NativeTable,
columns: &[&str],
) -> Result<()> {
table.dataset.ensure_mutable()?;
if columns.is_empty() {
return Err(Error::InvalidInput {
message: "set_unenforced_primary_key: a column is required".into(),
});
}
if columns.len() > 1 {
return Err(Error::InvalidInput {
message: format!(
"set_unenforced_primary_key: compound primary keys are not supported, got {} columns",
columns.len()
),
});
}
let column = columns[0];
let updates = {
let dataset = table.dataset.get().await?;
let schema = dataset.schema();
if !schema.unenforced_primary_key().is_empty() {
return Err(Error::InvalidInput {
message: "set_unenforced_primary_key: an unenforced primary key is already set on this table; changing it is not supported".into(),
});
}
let field = schema.field(column).ok_or_else(|| Error::InvalidInput {
message: format!(
"set_unenforced_primary_key: column '{}' not found on table",
column
),
})?;
if !is_supported_pk_dtype(&field.data_type()) {
return Err(Error::InvalidInput {
message: format!(
"set_unenforced_primary_key: column '{}' has dtype {:?} which is not supported as a primary key. Supported: Int32, Int64, Utf8, LargeUtf8, Binary, LargeBinary, FixedSizeBinary",
column,
field.data_type()
),
});
}
let mut metadata = field.metadata.clone();
metadata.remove(LANCE_UNENFORCED_PRIMARY_KEY);
metadata.insert(
LANCE_UNENFORCED_PRIMARY_KEY_POSITION.to_string(),
"1".to_string(),
);
vec![(field_id_to_u32(field.id, &field.name)?, metadata)]
};
let mut dataset = (*table.dataset.get().await?).clone();
dataset.replace_field_metadata(updates).await?;
table.dataset.update(dataset);
Ok(())
}
fn field_id_to_u32(id: i32, name: &str) -> Result<u32> {
u32::try_from(id).map_err(|_| Error::Runtime {
message: format!(
"internal: field '{}' has unexpected negative field id {}",
name, id
),
})
}
fn is_supported_pk_dtype(dtype: &DataType) -> bool {
matches!(
dtype,
DataType::Int32
| DataType::Int64
| DataType::Utf8
| DataType::LargeUtf8
| DataType::Binary
| DataType::LargeBinary
| DataType::FixedSizeBinary(_)
)
}