(
&self,
collection: &str,
field_name: &str,
id: &str,
embedding: &[f32],
metadata: Option<Document>,
)
| 63 | } |
| 64 | |
| 65 | pub(super) async fn vector_insert_field_impl( |
| 66 | &self, |
| 67 | collection: &str, |
| 68 | field_name: &str, |
| 69 | id: &str, |
| 70 | embedding: &[f32], |
| 71 | metadata: Option<Document>, |
| 72 | ) -> NodeDbResult<()> { |
| 73 | // Field-aware path: emit `INSERT INTO <coll> (id, <field>[, |
| 74 | // metadata]) VALUES ($1, ARRAY[...]<, $2>)` so the vector lands |
| 75 | // on the column named by the trait — not on whichever vector |
| 76 | // column the planner picks when the column name is omitted. |
| 77 | let coll = quote_identifier(collection); |
| 78 | let field = quote_identifier(field_name); |
| 79 | let vec_lit = format_vector_array(embedding); |
| 80 | |
| 81 | let sql = match metadata { |
| 82 | Some(_) => { |
| 83 | format!("INSERT INTO {coll} (id, {field}, metadata) VALUES ($1, {vec_lit}, $2)") |
| 84 | } |
| 85 | None => format!("INSERT INTO {coll} (id, {field}) VALUES ($1, {vec_lit})"), |
| 86 | }; |
| 87 | |
| 88 | if let Some(d) = metadata { |
| 89 | let meta_json = sonic_rs::to_string(&d) |
| 90 | .map_err(|e| NodeDbError::storage(format!("metadata serialization: {e}")))?; |
| 91 | self.execute_raw(&sql, &[&id, &meta_json]).await?; |
| 92 | } else { |
| 93 | self.execute_raw(&sql, &[&id]).await?; |
| 94 | } |
| 95 | Ok(()) |
| 96 | } |
| 97 | |
| 98 | pub(super) async fn vector_search_field_impl( |
| 99 | &self, |
no test coverage detected