Ecto adapter for Neo4j graph database

Goal

EctoNeo4j is designed to ease the use of Neo4j in elixir and provides an adapter for Ecto.
It allows to works with schema and to use the classic Ecto.Repo functions.

Kepp in mind that Ecto.Schema is relational-database oriented, then some graph-specific operations have to be emulated with the Ecto terms, especially join, assoc, preload.

Installation

Add ecto and ecto_neo4j to your dependencies:

def deps do
  [
    {:ecto, "~> 3.2"},
    {:ecto_sql, "~> 3.2"},
    {:ecto_neo4j, "~> 0.6"}
  ]
end

ecto_sql is required if you planned to use the migration features.

Configuration

Configuration is very similar to other adapters:

# In your config/config.exs file
config :my_app, ecto_repos: [MyApp.Repo]

# In your env-specific config, define database config (see bolt_sips for more information):
config :my_app, MyApp.Repo,
  hostname: &#39;localhost&#39;,
  basic_auth: [username: "user", password: "pass"],
  port: 7687,
  pool_size: 5,
  max_overflow: 1

# In your application code
defmodule MyApp.Repo do
  use Ecto.Repo,
    otp_app: :my_app,
    adapter: Ecto.Adapters.Neo4j
end

Knowns limitations

Ecto is designed for relational database but Neo4j is a graph database

Then not all of Ecto features are available in EctoNeo4j, either because they don't have their counterparts in Cypher Neo4j or because they don't make sense in Neo4j.
As an effeot to have a usable package, Ecto feature like join, assoc, etc. are used to manage relationships.

Usage

Schema

Reserved field: id

As you may know, Neo4j uses a feild named id toi manage its internal identifiers. It is then strongly recommended to not use it in your schemas.

Defining schema

To define a schema designed to be used with ECtoNeo4j, it is recommended to use Ecto.Adapters.Neo4j.Schema as it :

provides a primary key named :uuid to avoid conflic with Neo4j internal identifiers
provides 2 macros to manage relationships: outgoing_relationship/2 (and /3) and incoming_relationship/2
allows to not use has_* and belongs_to functions

Note that many_to_many is not covered as its mangement is not possible yet.

Relationships

Relationships can be defined via: outgoing_relationship and incoming_relationship.

outgoing_relationship takes 3 parameters:

a name which is an atom formated as [relationshiptype][child_schema_name]
the related schema
[optional] the options. For now only :unique (bool) is available. It defiens wether many child nodes can be linked to parent node (unique: false, the default) or just one (unique: true)

incoming_relationship takes 2 parameters:

a name which is an atom formated as [relationshiptype][child_schema_name]
the related schema

Relationships properties are a field in child schema. This field must be named rel_[relationship_type] and is a map.

Note that the name has to be the same in parent and child schema.

Example

Considering the following graph schema:

(User)-[:WROTE]->(Post)
(User)-(:READ)->(Post)
(User)-[:HAS]->(Profile)

where a User can read / wrote mutiple posts, but has only one profile.

This tranlates as:

defmodule MyApp.User do
  use Ecto.Adapters.Neo4j.Schema

  schema "User" do
    field :first_name, :string
    field :last_name, :string

    outgoing_relationship :has_userprofile, MyApp.UserProfil, unique: true
    outgoing_relationship(:wrote_post, MyApp.Post)
    outgoing_relationship :read_post, MyApp.Post
  end
end

defmodule MyApp.Profile do
  use Ecto.Adapters.Neo4j.Schema

  schema "UserProfile" do
    field :avatar, :string
    field :rel_has, :map

    incoming_relationship :has_profile, MyApp.User
  end
end

defmodule MyApp.Post do
  use Ecto.Adapters.Neo4j.Schema

  schema "Post" do
    field :title, :string
    field :text, :string
    field :rel_wrote, :map
    field :rel_read, :map

    incoming_relationship :wrote_post, MyApp.User
    incoming_relationship :read_post, MyApp.User
  end
end

Migration

All features work, but with some subtleties for some.
One important thing if that all operations in migation are performed via batch. This means your migrations will be successfully executed regardless of your database size, but it can take some time. More on batch here.

What you need to know about migrations:

create table don't do anything as expected as Neo4j is schemaless
drop table will remove all the specified nodes and all existing indexes / constraints
primary_key will be transformed in a constraint CONSTRAINT ON(n:label) ASSERT n.property IS UNIQUE
create index(label, properties, unique: true) will either create an unique constraint or a node key constraint (the latter is only supported by Entreprise Edition)
create index(label, properties) will create a classic index
rename table and rename col will move the existing constraints and indexes from the old entity to the new one

DO NOT ADD A NAME TO INDEXES / CONSTRAINTS

You have the possibility to give index/constraint a name via the option of create/3. Don't do it.
First, Neo4j doesn't support named indexes/constraints. Because of this "limitation", in case of uniqueness error or such, EctoNeo4j has to rebuild an index name, which it does considering the default index naming.

Repo

Most of Ecto.Repo features work then you are free to use the classic Repo.insert, Repo.one, Repo.transaction etc.

Unsupported features

Repo.stream (maybe soon)
nested transaction: they don't exist in Neo4j
Repo.checkout

About Ecto.Query

As you expect, none all Ecto.Query are available, here is a list of whan can be used:

distinct
dynamic
first
from which is MATCH in cypher
join to manage relationships
last
limit
offset which is SKIP in cypher
order_by
select which is RETURN in cypher
update which is MATCH... SET in cypher
where

For very specific operation like CONTAINS, START_WITH, etc. I encourage you to use query fragment

Working with relationships (associations in Ecto)

When you ant to work on relationship, you have to use Neo4j's adapter specific functions and not the Ecto one. In fact, if you work with EctoNeo4j, it is recommedned to always use these functions instead of their Ecto counterparts.
The specific funtions are:

Ecto.Adapters.Neo4j.insert(repo, data, opts \\ []): creates nodes and creates relationship if required
Ecto.Adapters.Neo4j.preload(struct_or_structs_or_nil, preloads, opts \\ []): usage and goal are the same as Repo.preload
Ecto.Adapters.Neo4j.update(changeset, repo, opts \\ []): updates nodes and creates / removes / updates realtionships if needed

The weird position of repo in the argument is to ease the piping.

Inserting

There is nothing special here, insert your data as you would do with classic Ecto associations.

Updating / Deleting

For this kind of operation, put_assoc has to be used.

Querying

Because relationship are not citizens in the relational world, Ecto does not provide the ability to query them. In order to retrieve relationship data, you will have to query the node in order to feed the relationship field (prefixed by rel_).
To query a relationship, you can use join and on keywords. join allows you to specify the node to link, and on will have ALL clauses ti apply on relationship.

Example:

# Unspecified relationship
from u in User,
join: p in Post
# will translates to:
MATCH
  (u:User)-[]->(:Post)
RETURN
  u
# Beware of the multiple results?

# Specific relationship (but without data)
from u in User,
join: p in Post,
on: p.rel_wrote == ^%{}
# will translates to:
MATCH
  (u:User)-[:WROTE]->(:Post)
RETURN
  u

# Specific relationship (without data)
from u in User,
join: p in Post,
on: p.rel_wrote == ^%{when: ~D[2019-12-12]}
# will translates to:
MATCH
  (u:User)-[rel:WROTE]->(:Post)
WHERE
  rel.when = "2019-12-12"
RETURN
  u

# Non existing relationship:
from u in User,
join: p in Post,
on: is_nil(p.rel_wrote)
# will translates to:
MATCH
  (u:User)
WHERE
  NOT (u)-[:WROTE]->(:Post)
RETURN
  u

About `update_all` and `delete_all`

Because theses two operations can touch a large number of nodes, you can have them be performed as batch via the option [batch: true].
More on batch here.

Raw cypher query

Raw cypher queries can be executed thanks to Ecto.Adapters.Neo4j.query(cql, params, opts) and Ecto.Adapters.Neo4j.query!(cql, params, opts).
They return a Bolt.Sips.Response if case of success

Example:

iex> my_query = "RETURN {num} AS num"
iex> Ecto.Adapters.Neo4j.query(my_query, %{num: 5})
{:ok,
 %Bolt.Sips.Response{
   bookmark: nil,
   fields: ["num"],
   notifications: [],
   plan: nil,
   profile: nil,
   records: [[5]],
   results: [%{"num" => 5}],
   stats: [],
   type: "r"
 }}

Batch

Some updates or deletes can touch a large number of node and therefore required to be executed as batch in order to perform well (and to finish...).
EctoNeo4j provides utility functions for this purpose: Ecto.Adapters.Neo4j.batch_query(cql, params, batch_type, opts) and Ecto.Adapters.Neo4j.batch_query!(cql, params, batch_type, opts).
There is two types of batches and each require a specially formed query.
They works on the same logic:

1. execute a query
1. count the touched nodes
if the number of touched nodes is not 0 then back to 1

Batch types

:basic

The default batch type is :basic. Query must have:

LIMIT {limit} in order to specify the chunk size
returns RETURN COUNT(the_node_you_re_touching) AS nb_touched_nodes in order to have the count of touched nodes.
This batch type is usually used for delete operation.
It is not required to provide the limit in your params, it will be handled by batch_query.

Example:

cql = """
MATCH
  (n:Post)
WHERE
  n.title CONTAINS "this"
WITH                            <--- The `WITH` allows to work on a subset...
  n AS n                        <--- 
LIMIT {limit}                   <--- with the specified nuber of node
DETACH DELETE                   <--- Perform the desired operation
  n
RETURN
  COUNT(n) AS nb_touched_nodes  <--- And return the number of nodes touched by the operation
"""
Ecto.Adapters.Neo4j.batch_query(cql)

:with_skip

This batch type is useful where a simple COUNT is irrevelant (in update operation for example). Query must have:

SKIP {skip} LIMIT {limit} in order to specify the chunk size
returns RETURN COUNT(the_node_you_re_touching) AS nb_touched_nodes in order to have the count of touched nodes.
It is not required to provide the skip nor the limit in your params, they will be handled by batch_query.

Example:

cql = """
MATCH
  (n:Post)
WHERE
  n.title CONTAINS "this"
WITH                                <--- THe WITH allows to work on a subset...
  n AS n                            <--- 
SKIP {skip} LIMIT {limit}           <--- with the specified nuber of node
SET                                 <--- Perform the desired operation
  n.title = "Updated: " + n.title 
RETURN
  COUNT(n) AS nb_touched_nodes      <--- And return the number of nodes touched by the operation
"""
Ecto.Adapters.Neo4j.batch_query(cql, %{}, :with_skip)

Chunk size

The default chunk size is 10_000.
The ideal chunk size is tighly related to the machine RAM, and you can specify if you want:

at query level with the options [chunk_size: integer]
Example: Ecto.Adapters.Neo4j.query(cql, params, :basic, [chunk_size: 50_000])
in your configuration, you can define the desired default chunk_size:
```
config :ecto_neo4j, Ecto.Adapters.Neo4j,
chunk_size: 50_000
```

update_all, delete_all

You can have Repo.update_all and Repo.delete_all executed as batches with the option [batch: true] (without any query tricks).
This option can be added in your configuration if you want the behaviour to happen for all update_alls and delete_alls.

  config :ecto_neo4j, Ecto.Adapters.Neo4j,
  batch: true

TODO

[ ] Remove the id to nodeId conversion [x] Manage bolt role
[ ] Split test to allow bolt v1 testing
[ ] Support prefix? (is there any use case for this?)
[ ] Support optimistic locking?
[x] Support migration (only: index creation, drop, rename, alter column name)
[x] Migration is supposed to support large amount of data (use batch...)
[ ] Support insert select?
[ ] Support delete with returning?
[ ] Support map update?
[ ] Implement a merge?
[ ] Telemetry
[ ] insert_all performance [ ] stream [x] ecto.drop should remove constraints and indexes()

Can I contribute?

Yes, you can! Please, do!
Just fork, commit and submit pull requests!

Ecto adapter for Neo4j graph database

Goal

Installation

Configuration

Knowns limitations

Ecto is designed for relational database but Neo4j is a graph database

Usage

Schema

Reserved field: id

Defining schema

Relationships

Example

Migration

DO NOT ADD A NAME TO INDEXES / CONSTRAINTS

Repo

Unsupported features

About Ecto.Query

Working with relationships (associations in Ecto)

Inserting

Updating / Deleting

Querying

About update_all and delete_all

Raw cypher query

Batch

Batch types

:basic

:with_skip

Chunk size

update_all, delete_all

TODO

Can I contribute?

About `update_all` and `delete_all`