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Feature: Support composite primary keys for node tables #525

@RP38

Description

@RP38

API

Python

Description


Summary

Allow node tables to declare a primary key composed of multiple columns, e.g. PRIMARY KEY (col_a, col_b). The tuple of values is the unique identifier, and the hash index, MERGE, and COPY FROM for relationships operate against the tuple rather than a single column.

Motivation

There are several common modeling patterns where the natural identity of an entity is a tuple rather than a single value:

  • Join / association entities: Enrollment(student_id, course_id), OrderItem(order_id, line_num), Permission(role_id, resource_id).
  • Multi-tenant data: User(tenant_id, user_id), Document(tenant_id, doc_id).
  • Hierarchical or scoped IDs: Chapter(book_id, chapter_num), Comment(post_id, comment_id), LineItem(invoice_id, position).
  • Time-keyed records: DailyMetric(entity_id, date), SensorReading(device_id, timestamp).
  • Geographic or hierarchical natural keys: (country_code, postal_code), (state, county, tract).

For all of these, the composite is the identity, and expressing it directly in the schema keeps domain meaning where it belongs.

Proposed semantics

CREATE NODE TABLE OrderItem (
    order_id INT64,
    line_num INT64,
    quantity INT64,
    price DOUBLE,
    PRIMARY KEY (order_id, line_num)
);

Behavior:

  • The tuple (order_id, line_num) is the unique identifier; inserting two nodes with the same tuple violates the PK constraint.
  • Point lookups via MATCH (o:OrderItem {order_id: 42, line_num: 7}) use the PK index.
  • MERGE (o:OrderItem {order_id: 42, line_num: 7}) ON CREATE SET ... matches against the composite for upsert semantics.
  • COPY FROM for relationships accepts multiple FROM-key columns in the source file, matched positionally to the PK columns.

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