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Add Neo4j index extension CIP #197

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7157bf3
Add the constraints CIP
Mats-SX Dec 14, 2016
6448277
Add property existence constraint syntax
Mats-SX Dec 14, 2016
6b667b0
Introduce the concept of domain
Mats-SX Dec 15, 2016
bbb46f4
Add example for existence constraint
Mats-SX Dec 15, 2016
bf6e05c
Add SQL examples
Mats-SX Dec 15, 2016
a7521d2
Update standardisation scope
Mats-SX Dec 15, 2016
27cd6e6
Add grammar rules for new constraint syntax
Mats-SX Dec 15, 2016
08f8eb7
Edited the textual contents of the CIP
Feb 15, 2017
0d1ae5e
More textual edits to the Constraints CIP
Feb 16, 2017
824a2c7
Amended w3 reference to denote alterations in 'quoted' text
Feb 17, 2017
4103056
Rework CIP
Mats-SX Mar 1, 2017
fcaad28
Remove Motivation section
Mats-SX Mar 1, 2017
35c4730
Move Mutability and Name sections
Mats-SX Mar 1, 2017
9d7aaf4
Add cross-links
Mats-SX Mar 1, 2017
ec56ba9
Add example for CIR-2017-172
Mats-SX Mar 1, 2017
c6a6d38
Support arbitrary patterns
Mats-SX Mar 1, 2017
d355dcc
Introduce PRIMARY KEY constraint predicate
Mats-SX Mar 3, 2017
9438af1
Rename constraint operator to NODE KEY
Mats-SX Mar 7, 2017
f31f09f
Use ADD for constraint creation
Mats-SX Mar 7, 2017
a2dc74d
Add specification for the return record
Mats-SX Mar 7, 2017
52f3a5e
Add tests verifying NODE KEY works in grammar
Mats-SX May 4, 2017
8eca441
Reformatted title
Jan 17, 2018
53b0445
Use CREATE instead of ADD
Mats-SX Jul 19, 2019
0ec02df
Make textual clarifications
Mats-SX Jul 19, 2019
4ef7b32
Update grammar to use CREATE
Mats-SX Jul 22, 2019
dd6fbcd
Add Neo4j index extension CIP
Mats-SX Mar 3, 2017
41a0c27
Reformatted title
Jan 17, 2018
d92de3e
Update CIP with latest developments
Mats-SX Jul 26, 2019
f02ad09
Add detail on relationship to contraints CIP
Mats-SX Jul 26, 2019
2cebf70
Add result record specification
Mats-SX Jul 26, 2019
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375 changes: 375 additions & 0 deletions cip/1.accepted/CIP2016-12-14-Constraint-syntax.adoc
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= CIP2016-12-16 Constraints syntax
:numbered:
:toc:
:toc-placement: macro
:source-highlighter: codemirror

*Author:* Mats Rydberg <[email protected]>

[abstract]
.Abstract
--
This CIP describes syntax and semantics for Cypher constraints.
These are language constructs that impose restrictions on the shape of the data graph, and how statements are allowed to change it.
--

toc::[]

== Background

Cypher has a loose notion of a schema, in which nodes and relationships may take very heterogeneous forms, both in terms of properties and in graph patterns.
Constraints allow us to mould the heterogeneous nature of the property graph into a more regular form.

== Proposal

This CIP specifies the general syntax for constraint definition (and constraint removal), and provides several examples of possible use cases for constraints.
However, the specification does not otherwise specify or limit the space of expressible constraints that the syntax and semantics allow.

This specification also covers the return structure of constraint commands, see <<return-record>>.

=== Syntax

The constraint syntax is defined as follows:

.Grammar definition for constraint syntax.
[source, ebnf]
----
constraint command = create-constraint | drop-constraint ;
add-constraint = "CREATE", "CONSTRAINT", [ constraint-name ], "FOR", pattern, "REQUIRE", constraint-predicate, { "REQUIRE", constraint-predicate } ;
constraint-name = symbolic-name
constraint-predicate = expression | unique | node-key ;
unique = "UNIQUE", property-expression
node-key = "NODE KEY", property-expression, { ",", property-expression }
drop-constraint = "DROP", "CONSTRAINT", constraint-name ;
----

The `REQUIRE` clause works exactly like the `WHERE` clause in a standard Cypher query, with the addition of also supporting the special constraint operators `UNIQUE` and `NODE KEY`.
This allows for very complex concrete constraint definitions (using custom predicates) within the specified syntax.

For details on `UNIQUE` and `NODE KEY`, see the dedicated sections below: <<uniqueness>>, <<node-key>>.

==== Constraint names

All constraints provide the user the option to specify a nonempty _name_ at constraint creation time.
This name is subsequently the handle with which a user may refer to the constraint, for example when dropping it.
In the case where a name is not provided, the system will generate a unique name.

==== Removing constraints

A constraint is removed by referring to its name.

.Example of dropping a constraint with name `foo`:
[source, cypher]
----
DROP CONSTRAINT foo
----

=== Semantics

The semantics for constraints follow these general rules:

1. The constraint pattern define the constraint _domain_, where all entities that would be returned by a `MATCH` clause with the same pattern constitute the domain, with one notable exception (see <<domain-exception, 3.>>).

2. The constraint expressions defined in the `REQUIRE` clauses of the constraint definition must all evaluate to `true`, at all times.

3. [[domain-exception]]Entities for which a constraint expression evaluate to `null` under Cypher's ternary logic are _excluded_ from the constraint domain, even if they fit within the constraint pattern.

==== Errors

The following list describes the situations in which an error will be raised:

* Attempting to add a constraint on a graph where the data does not comply with a constraint predicate.
* Attempting to add a constraint with a name that already exists.
* Attempting to add a constraint that the underlying engine does not support enforcing.
* Attempting to drop a constraint referencing a non-existent name.
* Attempting to modify the graph in such a way that it would violate a constraint.

==== Mutability

Once a constraint has been added, it may not be amended.
Should a user wish to change a constraint definition, the constraint has to be dropped and added anew with an updated structure.

[[uniqueness]]
==== Uniqueness

The new operator `UNIQUE` is only valid as part of a constraint predicate.
It takes as argument a single property expression, and asserts that this property is unique across the domain of the constraint.
Following on rule <<domain-exception,3.>> above, entities for which the property is not defined (is `null`) are not part of the constraint domain.

.Example of a constraint definition using `UNIQUE`, over the domain of nodes labeled with `:Person`:
[source, cypher]
----
CREATE CONSTRAINT only_one_person_per_name
FOR (p:Person)
REQUIRE UNIQUE p.name
----

[[node-key]]
==== Node key

The new operator `NODE KEY` is only valid as part of a constraint predicate.
It takes as argument one or more property expressions, and asserts that the combination of the evaluated values of the expressions (forming a tuple) is unique across the constraint domain.
It further asserts that the property expressions all exist on the entities of the domain, and thus avoids applicability of rule <<domain-exception, 3.>> above.
The domain of a node key constraint is thus exactly defined as all entities which fit the constraint pattern.

.Example of a constraint definition using `NODE KEY`, over the domain of nodes labeled with `:Person`:
[source, cypher]
----
CREATE CONSTRAINT person_details
FOR (p:Person)
REQUIRE NODE KEY p.name, p.email, p.address
----

In the context of a single property, a semantically equivalent constraint is achieved by composing the use of the `UNIQUE` operator with `exists()` predicates, as exemplified by:

.Example of a constraint definition equivalent to a `NODE KEY` on a single property `name`:
[source, cypher]
----
CREATE CONSTRAINT person_details
FOR (p:Person)
REQUIRE UNIQUE p.name
REQUIRE exists(p.name)
----

==== Compositionality

It is possible to define multiple `REQUIRE` clauses within the scope of the same constraint.
The semantics between these is that of a conjunction (under standard 2-valued boolean logic) between the constraint predicates of the clauses, such that the constraint is upheld if and only if for all `REQUIRE` clauses, the joint predicate evaluates to `true`.

[[return-record]]
==== Return record

Since constraints always are named, but user-defined names are optional, the system must sometimes generate a constraint name.
In order for a user to be able to drop such a constraint, the system-generated name is therefore returned in a standard Cypher result record.
The result record has a fixed structure, with three string fields: `name`, `definition`, and `details`.

A constraint command will always return exactly one record, if successful.
Note that also `DROP CONSTRAINT` will return a record.

===== Name

This field contains the name of the constraint, either user- or system-defined.

===== Definition

This field contains the constraint definition, which is the contents of the constraint creation command following (and including) the `FOR` clause.

===== Details

The contents of this field are left unspecified, to be used for implementation-specific messages and/or details.

.Example: consider the following constraint:
[source, Cypher]
----
CREATE CONSTRAINT myConstraint
FOR (n:Node)
REQUIRE NODE KEY n.prop1, n.prop2
----

A correct result record for it could be:

----
name | definition | details
-----------------------------------------------------------------------
myConstraint | FOR (n:NODE) | n/a
| REQUIRE NODE KEY n.prop1, n.prop2 |
----

=== Examples

In this section we provide several examples of constraints that are possible to express in the specified syntax.

[NOTE]
The specification in this CIP is limited to the general syntax of constraints, and the following are simply examples of possible uses of the language defined by that syntax. None of the examples provided are to be viewed as mandatory for any Cypher implementation.

Consider the graph added by the statement below.
The graph contains nodes labeled with `:Color`.
Each color is represented as an integer-type RGB value in a property `rgb`.
Users may look up nodes labeled with `:Color` to extract their RGB values for application processing.
Users may also add new `:Color`-labeled nodes to the graph.

[source, cypher]
----
CREATE (:Color {name: 'white', rgb: 0xffffff})
CREATE (:Color {name: 'black', rgb: 0x000000})
CREATE (:Color {name: 'very, very dark grey', rgb: 0x000000}) // rounding error!
----

Owing to the duplication of the `rgb` property, the following attempt at adding a constraint will fail:

[source, cypher]
----
CREATE CONSTRAINT only_one_color_per_rgb
FOR (c:Color)
REQUIRE UNIQUE c.rgb
----

Now, consider the following query which retrieves the RGB value of a color with a given `name`:

[source, cypher]
----
MATCH (c:Color {name: $name})
WHERE exists(c.rgb)
RETURN c.rgb
----

The `WHERE` clause is here used to prevent an application from retrieving `null` values for user-defined colors where the RGB values have not been specified correctly.
It may, however, be eliminated by the introduction of a constraint asserting the existence of that property:

[source, cypher]
----
CREATE CONSTRAINT colors_must_have_rgb
FOR (c:Color)
REQUIRE exists(c.rgb)
----

Any updating statement that would create a `:Color` node without specifying an `rgb` property for it would now fail.

If we instead want to make the _combination_ of the properties `name` and `rgb` unique, while simultaneously mandating their existence, we could use a `NODE KEY` operator to capture all these requirements in a single constraint:

[source, cypher]
----
CREATE CONSTRAINT color_schema
FOR (c:Color)
REQUIRE NODE KEY c.rgb, c.name
----

This constraint will make sure that all `:Color` nodes has a value for their `rgb` and `name` properties, and that the combination is unique across all the nodes.
This would allow several `:Color` nodes named `'grey'`, as long as their `rgb` values are distinct.

More complex constraint definitions are considered below:

.Multiple property existence using conjunction
[source, cypher]
----
CREATE CONSTRAINT person_properties
FOR (p:Person)
REQUIRE exists(p.name) AND exists(p.email)
----

.Using larger pattern
[source, cypher]
----
CREATE CONSTRAINT not_rating_own_posts
FOR (u1:User)-[:RATED]->(:Post)<-[:POSTED_BY]-(u2:User)
REQUIRE u.name <> u2.name
----

.Property value limitations
[source, cypher]
----
CREATE CONSTRAINT road_width
FOR ()-[r:ROAD]-()
REQUIRE 5 < r.width < 50
----

.Cardinality
[source, cypher]
----
CREATE CONSTRAINT spread_the_love
FOR (p:Person)
REQUIRE size((p)-[:LOVES]->()) > 3
----

.Endpoint requirements
[source, cypher]
----
CREATE CONSTRAINT can_only_own_things
FOR ()-[:OWNS]->(t)
REQUIRE (t:Vehicle) OR (t:Building) OR (t:Object)
----

.Label coexistence
[source, cypher]
----
CREATE CONSTRAINT programmers_are_people_too
FOR (p:Programmer)
REQUIRE p:Person
----

Assuming a function `acyclic()` that takes a path as argument and returns `true` if and only if the same node does not appear twice in the path, otherwise `false`, we may express:

.Constraint example from CIR-2017-172
[source, cypher]
----
CREATE CONSTRAINT enforce_dag_acyclic_for_R_links
FOR p = ()-[:R*]-()
REQUIRE acyclic(p)
----

=== Interaction with existing features

The main interaction between the constraints and the rest of the language occurs during updating statements.
Existing constraints will cause some updating statements to fail, thereby fulfilling the main purpose of this feature.

=== Alternatives

Alternative syntaxes have been discussed:

* `GIVEN`, `CONSTRAIN`, `ASSERT` instead of `FOR`
* `ASSERT`, `ENFORCE`, `IMPLIES` instead of `REQUIRE`
* `ADD` instead of `CREATE`
** It is desirable for verb pairs for modifying operations to be consistent in the language, and recent discussions are (so far informally) suggesting `INSERT`/`DELETE` to be used for data modification, thus making `CREATE` and `DROP` available for schema modification such as constraints.

The use of an existing expression to express uniqueness -- instead of using the operator `UNIQUE` -- becomes unwieldy for multiple properties, as exemplified by the following:
----
FOR (p:Person), (q:Person)
REQUIRE p.email <> q.email AND p <> q
----

== What others do

In SQL, the following constraints exist (inspired by http://www.w3schools.com/sql/sql_constraints.asp):

* `NOT NULL` - Indicates that a column cannot store a null value.
* `UNIQUE` - Ensures that each row for a column must have a unique value.
* `PRIMARY KEY` - A combination of a `NOT NULL` and `UNIQUE`. Ensures that a column (or a combination of two or more columns) has a unique identity, reducing the resources required to locate a specific record in a table.
* `FOREIGN KEY` - Ensures the referential integrity of the data in one table matches values in another table.
* `CHECK` - Ensures that the value in a column meets a specific condition
* `DEFAULT` - Specifies a default value for a column.

The `NOT NULL` SQL constraint is expressible using an `exists()` constraint predicate.
The `UNIQUE` SQL constraint is exactly as Cypher's `UNIQUE` constraint predicate.
The `PRIMARY KEY` SQL constraint is exactly as Cypher's `NODE KEY` constraint predicate.

SQL constraints may be introduced at table creation time in a `CREATE TABLE` statement, or in an `ALTER TABLE` statement:

.Creating a `Person` table in SQL Server / Oracle / MS Access:
[source, sql]
----
CREATE TABLE Person
(
P_Id int NOT NULL UNIQUE,
LastName varchar(255) NOT NULL,
FirstName varchar(255))
----

.Creating a `Person` table in MySQL:
[source, sql]
----
CREATE TABLE Person
(
P_Id int NOT NULL,
LastName varchar(255) NOT NULL,
FirstName varchar(255)
UNIQUE (P_Id)
)
----

.Adding a named composite `UNIQUE` constraint in MySQL / SQL Server / Oracle / MS Access:
[source, sql]
----
ALTER TABLE Person
ADD CONSTRAINT uc_PersonID UNIQUE (P_Id,LastName)
----

== Benefits to this proposal

Constraints make Cypher's notion of schema more well-defined, allowing users to maintain graphs in a more regular, easier-to-manage form.

Additionally, this specification is deliberately defining a constraint _language_ within which a great deal of possible concrete constraints are made possible.
This allows different implementers of Cypher to independently choose how to limit the scope of supported constraint expressions that fit their model and targeted use cases, while retaining a common and consistent semantic and syntactic model.

== Caveats to this proposal

Some constraints may prove challenging to enforce in a system seeking to implement the contents of this CIP, as these generally require scanning through large parts of the graph to locate conflicting entities.
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