Introducing Neo4j 3.1: New Security and Clustering Architecture
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Transcript of Introducing Neo4j 3.1: New Security and Clustering Architecture
![Page 1: Introducing Neo4j 3.1: New Security and Clustering Architecture](https://reader031.fdocuments.net/reader031/viewer/2022030317/5871a1741a28ab044e8b6ec5/html5/thumbnails/1.jpg)
Introducing Neo4j 3.1New Security and Clustering Architecture
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3.1
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New Binary Protocol ProceduresNew Language Drivers
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3.1
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3.1
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Massive Throughput
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Data Redundancy
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Data Redundancy
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Data Redundancy
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Data Redundancy
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High Availability
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High Availability
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High Availability
Error!503: Service Unavailable
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High Availability
Error!503: Service Unavailable
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High Availability
Error!503: Service Unavailable
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High Availability
Error!503: Service Unavailable
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High Availability
✓
Error!503: Service Unavailable
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Data RedundancyMassive Throughput High Availability
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Data RedundancyMassive Throughput High Availability
3.0
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Data RedundancyMassive Throughput High Availability
3.0
Bigger Clusters Consensus Commit Built-in load balancing
3.1Causal
Clustering
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Replica
Core
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• Small group of Neo4j databases• Fault-tolerant Consensus Commit • Responsible for data safety
Core
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Writing to the Core Cluster
Neo4j Driver Neo4j Cluster
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Writing to the Core Cluster
Neo4j Driver
CREATE (:User {...})
✓
Neo4j Cluster
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Writing to the Core Cluster
Neo4j Driver
CREATE (:User {...})
✓
Neo4j Cluster
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Writing to the Core Cluster
Neo4j Driver
CREATE (:User {...})
✓
✓
✓
Neo4j Cluster
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Writing to the Core Cluster
Neo4j Driver
CREATE (:User {...})
✓
✓
✓
Neo4j Cluster
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Writing to the Core Cluster
Neo4j Driver
CREATE (:User {...})
✓
✓
✓
Neo4j Cluster
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Writing to the Core Cluster
Neo4j Driver
✓
✓
✓
Success
Neo4j Cluster
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Writing to the Core Cluster
Neo4j Driver
✓
✓
✓
Success
Neo4j Cluster
✓
✓
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• Small group of Neo4j databases• Fault-tolerant Consensus Commit • Responsible for data safety
Core
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• For massive query throughput• Read-only replicas• Not involved in Consensus Commit • Disposable, suitable for auto-scaling
Replica
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Propagating updates to the Replica
Neo4j Driver Neo4j Cluster
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Propagating updates to the Replica
Neo4j Driver Neo4j Cluster
Write
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Propagating updates to the Replica
Neo4j Driver Neo4j Cluster
Write
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Reading from the Replica
Neo4j Driver Neo4j Cluster
Read
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Replica
Core Updating the graph
Queries, analysis, reporting
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:sysinfo
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Writing an application forNeo4j Causal Clustering
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App Server
Neo4j Driver
Bolt protocol
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Java<dependency> <groupId>org.neo4j.driver</groupId> <artifactId>neo4j-java-driver</artifactId></dependency>
Python
pip install neo4j-driver
.NET
PM> Install-Package Neo4j.Driver
JavaScript
npm install neo4j-driver
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https://neo4j.com/developer/language-guides
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bolt://
GraphDatabase.driver( "bolt://aServer" )
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bolt+routing://
GraphDatabase.driver( "bolt+routing://aCoreServer" )
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GraphDatabase.driver( "bolt+routing://aCoreServer" )
Bootstrap: specify any core server to route load across the whole cluster
bolt+routing://
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Application Server
Neo4j DriverMax
Jim
Jane
Mark
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Routed write statements
driver = GraphDatabase.driver( "bolt+routing://aCoreServer" );
try ( Session session = driver.session( AccessMode.WRITE ) )
{
try ( Transaction tx = session.beginTransaction() )
{
tx.run( "MERGE (user:User {userId: {userId}})",
parameters( "userId", userId ) );
tx.success();
}
}
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Routed read queries
driver = GraphDatabase.driver( "bolt+routing://aCoreServer" );
try ( Session session = driver.session( AccessMode.READ ) )
{
try ( Transaction tx = session.beginTransaction() )
{
tx.run( "MATCH (user:User {userId: {userId}})-[*]-(:Product) RETURN *",
parameters( "userId", userId ) );
tx.success();
}
}
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Consistency
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Q Why didn’t this work?A Eventual Consistency
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Create Account
App Server A Driver
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CREATE (:User)Create Account
App Server A Driver
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App Server A Driver
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0 1 2 3 4 5 6 7 8 9 10 11CREATE (:User)Create Account
App Server A Driver
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App Server A Driver
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App Server A Driver
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App Server A Driver
MATCH (:User)Login
App Server B Driver
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App Server A Driver
MATCH (:User)Login
App Server B Driver
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Bookmark
• Session token• String (for portability)• Opaque to application• Represents ultimate user’s most recent
view of the graph• More capabilities to come
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Let’s try again, with Causal Consistency
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Create Account
App Server A Driver
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App Server A Driver
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App Server A Driver
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App Server A Driver
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Replica
Core Updating the graph
Queries, analysis, reporting
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Neo4j 3.0 Neo4j 3.1High Availability Cluster Causal Cluster
Master-Slave architecture
Paxos consensus used for master election
Raft protocol used for leader election, membership changes and commitment of all transactions
Two part cluster: writeable Core and read-only read replicas.
Transaction committed once written durably on the master
Transaction committed once written durably on a majority of the core members
Practical deployments: 10s servers Practical deployments: 100s servers
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3.1
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# Choose LDAP connector as both authentication and authorization providerdbms.security.auth_provider=ldap
# Configure LDAP connector to point to the AD serverdbms.security.ldap.host=ldap://myactivedirectory.example.com
# In case where defined users are not allowed to search for themselves,# we can specify credentials for user with read access to all users and groupsdbms.security.ldap.authorization.use_system_account=truedbms.security.ldap.system_username=CN=admin,OU=people,DC=example,DC=comdbms.security.ldap.system_password=admin-password
# Provide details on user structure within LDAPdbms.security.ldap.user_dn_template=CN={0},OU=people,DC=example,DC=comdbms.security.ldap.authorization.user_search_base=OU=people,dc=example,dc=comdbms.security.ldap.authorization.user_search_filter=(&(objectClass=*)(CN={0}))dbms.security.ldap.authorization.group_membership_attributes=memberOf
./conf/neo4j.conf
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dbms.security.ldap.authorization.group_to_role_mapping= \ "CN=Neo4j Read Only,OU=groups,DC=example,DC=com" = reader; \ "CN=Neo4j Read-Write,OU=groups,DC=example,DC=com" = publisher; \ "CN=Neo4j Schema Manager,OU=groups,DC=example,DC=com" = architect; \ "CN=Neo4j Administrator,OU=groups,DC=example,DC=com" = admin; \ "CN=Neo4j Procedures,OU=groups,DC=example,DC=com" = allowed_role
./conf/neo4j.conf
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# Configure mapping between groups in the LDAP and roles in Neo4j dbms.security.ldap.authorization.group_to_role_mapping= \ “CN=Neo4j Accounting,OU=groups,DC=example,DC=com” = accounting; \ “CN=Neo4j Operator,OU=groups,DC=example,DC=com” = operator
CALL dbms.security.createRole(‘accounting’)CALL dbms.security.addRoleToUser(‘accounting’, ‘bobsmith’)
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3.1
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https://neo4j.com/blog/cypher-graphql-neo4j-3-1-preview/
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https://neo4j.com/docs/operations-manual/beta/tools/cypher-shell/
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neo4j-admin restore --from=<backup-directory> --database=<database-name> [--force]
Restore a backed up database.
neo4j-admin dump
neo4j-admin load
neo4j-admin backup [--from=<address>] --to=<backup-path> [--check-consistency] [--additional-config=<config-file-path>] [--timeout=<timeout>]
Perform a backup, over the network, from a running Neo4j server into a local copy of the database store (the backup).
neo4j-admin check-consistency --database=<database> [--additional-config=<file>] [--verbose]
Check the consistency of a database.
neo4j-admin import --mode={database|csv} --database=<database-name>
Import a collection of CSV files with --mode=csv, or a database from a pre-3.0 installation with --mode=database.
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