JPA/Hibernate overlapping PK and FK Columns - sql

Question

we're using Postgres and JPA/Hibernate to import a lot of data on a biweekly basis (~50-100M rows per import). We're trying to partition our tables per import, which has us running into some Hibernate PK/FK column mapping problems. The setup is essentially this on the SQL side
CREATE TABLE row (
import_timestamp timestamp,
id uuid,
PRIMARY KEY (import_timestamp, id)
) PARTITION BY LIST (import_timestamp);
CREATE TABLE row_detail (
import_timestamp timestamp,
id uuid,
row_id uuid,
PRIMARY KEY(import_timestamp, id),
CONSTRAINT row_detail_row_fk FOREIGN KEY (row_id, import_timestamp) REFERENCES row (id, import_timestamp)
) PARTITION BY LIST (import_timestamp);
and this on the Java side:
#Entity(name = "row")
public class RowEntity {
#EmbeddedId
private PartitionedId id;
#OneToMany(cascade = ALL, mappedBy = "row")
private List<RowDetailEntity> details;
}
#Entity(name = "row_detail")
public class RowDetailEntity {
#EmbeddedId
private PartitionedId id;
#ManyToOne
#JoinColumns({
#JoinColumn(name = "row_id", referencedColumnName = "id"),
#JoinColumn(name = "importTimestamp", referencedColumnName = "importTimestamp")
})
private RowEntity row;
}
#Embeddable
public class PartitionedId implements Serializable {
private Instant importTimestamp;
private UUID id;
}
Hibernate then complains on boot that:
column: import_timestamp (should be mapped with insert="false" update="false")
I can silence that error by doing as it says, but that makes little sense, because I am forced to set insertable=false and updatable=false for both #JoinColumn()s, which would mean row_id isn't populated on insert.
I could go the #MapsId route, but only if I give the row_detail table a PK that includes all 3 properties (import_timestamp, id, row_id), and I don't really want or need that.
So the question is, how do I get Hibernate to understand my overlapping, but not entirely nested PK/FK?