neo4j-go-driver

This is the official Neo4j Go Driver.

Getting the Driver

Module version

Make sure your application has been setup to use go modules (there should be a go.mod file in your application root). Add the driver with:

go get github.com/neo4j/neo4j-go-driver/[email protected]<the 4.x tag>

For versions 1.x of the driver (notice the absence of /v4), run instead the following:

go get github.com/neo4j/[email protected]<the 1.x tag>

Documentation

Drivers manual that describes general driver concepts in depth here.

Go package API documentation here.

Migration from 1.8

See migrationguide for information on how to migrate from 1.8 (and 1.7) version of the driver.

Minimum Viable Snippet

Connect, execute a statement and handle results

Make sure to use the configuration in the code that matches the version of Neo4j server that you run.

package main

import (
    "fmt"
    "github.com/neo4j/neo4j-go-driver/v4/neo4j"
    "io"
    "log"
)

func main() {
	// Neo4j 4.0, defaults to no TLS therefore use bolt:// or neo4j://
	// Neo4j 3.5, defaults to self-signed certificates, TLS on, therefore use bolt+ssc:// or neo4j+ssc://
	dbUri := "neo4j://localhost:7687"
	driver, err := neo4j.NewDriver(dbUri, neo4j.BasicAuth("username", "password", ""))
	if err != nil {
		panic(err)
	}
	// Handle driver lifetime based on your application lifetime requirements  driver's lifetime is usually
	// bound by the application lifetime, which usually implies one driver instance per application
	defer driver.Close()
	item, err := insertItem(driver)
	if err != nil {
		panic(err)
	}
	fmt.Printf("%v\n", item)
}

func insertItem(driver neo4j.Driver) (*Item, error) {
    // Sessions are short-lived, cheap to create and NOT thread safe. Typically create one or more sessions
    // per request in your web application. Make sure to call Close on the session when done.
    // For multi-database support, set sessionConfig.DatabaseName to requested database
    // Session config will default to write mode, if only reads are to be used configure session for
    // read mode.
    session := driver.NewSession(neo4j.SessionConfig{})
    defer session.Close()
    result, err := session.WriteTransaction(createItemFn)
    if err != nil {
        return nil, err
    }
    return result.(*Item), nil
}

func createItemFn(tx neo4j.Transaction) (interface{}, error) {
    records, err := tx.Run("CREATE (n:Item { id: $id, name: $name }) RETURN n.id, n.name", map[string]interface{}{
        "id":   1,
        "name": "Item 1",
    })
	// In face of driver native errors, make sure to return them directly.
	// Depending on the error, the driver may try to execute the function again.
    if err != nil {
        return nil, err
    }
    record, err := records.Single()
    if err != nil {
        return nil, err
    }
    // You can also retrieve values by name, with e.g. `id, found := record.Get("n.id")`
    return &Item{
        Id:   record.Values[0].(int64),
        Name: record.Values[1].(string),
    }, nil
}

type Item struct {
    Id int64
    Name string
}

Neo4j and Bolt protocol versions

The driver implements Bolt protocol version 3. This means that either Neo4j server 3.5 or above can be used with the driver.

Neo4j server 4 supports both Bolt protocol version 3 and version 4.

Connecting to a causal cluster

You just need to use neo4j as the URL scheme and set host of the URL to one of your core members of the cluster.

if driver, err = neo4j.NewDriver("neo4j://localhost:7687", neo4j.BasicAuth("username", "password", "")); err != nil {
	return err // handle error
}

There are a few points that need to be highlighted:

• Each Driver instance maintains a pool of connections inside, as a result, it is recommended to only use one driver per application.
• It is considerably cheap to create new sessions and transactions, as sessions and transactions do not create new connections as long as there are free connections available in the connection pool.
• The driver is thread-safe, while the session or the transaction is not thread-safe.

Parsing Result Values

Record Stream

A cypher execution result is comprised of a stream of records followed by a result summary. The records inside the result can be accessed via Next()/Record() functions defined on Result. It is important to check Err() after Next() returning false to find out whether it is end of result stream or an error that caused the end of result consumption.

Accessing Values in a Record

Values in a Record can be accessed either by index or by alias. The return value is an interface{} which means you need to convert the interface to the type expected

value := record.Values[0]

if value, ok := record.Get('field_name'); ok {
	// a value with alias field_name was found
	// process value
}

Value Types

The driver exposes values in the record as an interface{} type. The underlying types of the returned values depend on the corresponding Cypher types.

The mapping between Cypher types and the types used by this driver (to represent the Cypher type):

Spatial Types - Point

The temporal types are introduced in Neo4j 3.4 series.

You can create a 2-dimensional Point value using;

point := neo4j.Point2D {X: 1.0, Y: 2.0, SpatialRefId: srId }

or a 3-dimensional point value using;

point := neo4j.Point3D {X: 1.0, Y: 2.0, Z: 3.0, SpatialRefId: srId }

NOTE:

• For a list of supported srId values, please refer to the docs here.

Temporal Types - Date and Time

The temporal types are introduced in Neo4j 3.4 series. Given the fact that database supports a range of different temporal types, most of them are backed by custom types defined at the driver level.

The mapping among the Cypher temporal types and actual exposed types are as follows:

Receiving a temporal value as driver type:

dateValue := record.Values[0].(neo4j.Date)

All custom temporal types can be constructed from a time.Time value using <Type>Of() (DateOf, OffsetTimeOf, ...) functions.

dateValue := DateOf(time.Date(2005, time.December, 16, 0, 0, 0, 0, time.Local)

Converting a custom temporal value into time.Time (all neo4j temporal types expose Time() function to gets its corresponding time.Time value):

dateValueAsTime := dateValue.Time()

Note:

• When neo4j.OffsetTime is converted into time.Time or constructed through OffsetTimeOf(time.Time), its Location is given a fixed name of Offset (i.e. assigned time.FixedZone("Offset", offsetTime.offset)).
• When time.Time values are sent/received through the driver, if its Zone() returns a name of Offset the value is stored with its offset value and with its zone name otherwise.

Logging

Logging at the driver level can be configured by setting Log field of neo4j.Config through configuration functions that can be passed to neo4j.NewDriver function.

Console Logger

For simplicity, we provide a predefined console logger which can be constructed by neo4j.ConsoleLogger function. To enable console logger, you need to specify which level you need to enable (neo4j.ERROR, neo4j.WARNING, neo4j.INFO and neo4j.DEBUG which are ordered by the level of detail).

A simple code snippet that will enable console logging is as follows;

useConsoleLogger := func(level neo4j.LogLevel) func(config *neo4j.Config) {
	return func(config *neo4j.Config) {
		config.Log = neo4j.ConsoleLogger(level)
	}
}

// Construct a new driver
if driver, err = neo4j.NewDriver(uri, neo4j.BasicAuth(username, password, ""), useConsoleLogger(neo4j.ERROR)); err != nil {
	return err
}
defer driver.Close()

Custom Logger

The Log field of the neo4j.Config struct is defined to be of interface neo4j/log.Logger which has the following definition.

type Logger interface {
	Error(name string, id string, err error)
	Warnf(name string, id string, msg string, args ...interface{})
	Infof(name string, id string, msg string, args ...interface{})
	Debugf(name string, id string, msg string, args ...interface{})
}

For a customised logging target, you can implement the above interface and pass an instance of that implementation to the Log field.