The document discusses blending NoSQL and SQL databases by leveraging the strengths of both. It describes how MySQL Cluster provides massively scalable performance through its NoSQL-style data storage and replication abilities, while also supporting SQL queries, joins, and ACID transactions like a traditional relational database. This allows applications to use NoSQL for simple operations and scalability while still using SQL for complex queries and transactions as needed.

1. NoSQL & SQL
Blending the best of both worlds
Andrew Morgan (@andrewmorgan)
www.clusterdb.com
15th June 2013

2. Copyright © 2013, Oracle and/or its affiliates. All rights reserved. | 15th June 2013 | Oracle reserves the right to change the timing and content of any future release2
Safe Harbour Statement
The following is intended to outline our general product direction. It is
intended for information purposes only, and may not be incorporated into any
contract.
It is not a commitment to deliver any material, code, or functionality, and
should not be relied upon in making purchasing decisions. The development,
release, and timing of any features or functionality described for Oracle’s
products remains at the sole discretion of Oracle.

3. Copyright © 2013, Oracle and/or its affiliates. All rights reserved. | 15th June 2013 | Oracle reserves the right to change the timing and content of any future release3
 Massive scalability
 No application-level sharding
 Performance
 High Availability/Fault Tolerance
 Ease of use
 Simple operations/administration
 Simple APIs
 Quickly evolve application & schema
What NoSQL must deliver
Scalability
Performance
HA
Ease of use

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 No best single solution
fits all
 Mix and match
Still a role for the RDBMS?
NoSQL
Simple access patterns
Compromise on consistency
for performance
Ad-hoc data format
Simple operation
RDBMS
Complex queries with joins
ACID transactions
Well defined schemas
Rich set of tools
Scalability
Performance
HA
Ease of use
SQL/Joins
ACID Transactions

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MySQL Cluster Architecture
MySQL Cluster Data Nodes
Data Layer
Clients
Application Layer
Management
Scalability
Performance
HA
Ease of use
SQL/Joins a
ACID Transactions a

6. Copyright © 2013, Oracle and/or its affiliates. All rights reserved. | 15th June 2013 | Oracle reserves the right to change the timing and content of any future release6
MySQL Cluster Architecture
MySQL Cluster Data Nodes
Data Layer
Clients
Application Layer
Management
Management
Scalability a
Performance
HA
Ease of use
SQL/Joins a
ACID Transactions a

7. Copyright © 2013, Oracle and/or its affiliates. All rights reserved. | 15th June 2013 | Oracle reserves the right to change the timing and content of any future release7
MySQL Cluster Architecture
MySQL Cluster Data Nodes
Data Layer
Application Layer
Management
Management
Clients
Scalability a
Performance
HA a
Ease of use
SQL/Joins a
ACID Transactions a

8. Copyright © 2013, Oracle and/or its affiliates. All rights reserved. | 15th June 2013 | Oracle reserves the right to change the timing and content of any future release8
1.2 Billion UPDATEs per Minute
• 30 x Intel E5-2600 Intel
Servers
• NoSQL C++ API,
flexaSynch benchmark
• ACID Transactions, with
Synchronous
Replication 0
5
10
15
20
25
2 4 6 8 10 12 14 16 18 20 22 24 26 28 30
MillionsofUPDATEsperSecond
MySQL Cluster Data Nodes

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Scalability a
Performance a
HA a
Ease of use
SQL/Joins a
ACID Transactions a

10. Copyright © 2013, Oracle and/or its affiliates. All rights reserved. | 15th June 2013 | Oracle reserves the right to change the timing and content of any future release10

11. Copyright © 2013, Oracle and/or its affiliates. All rights reserved. | 15th June 2013 | Oracle reserves the right to change the timing and content of any future release11
MySQL Cluster 7.3 DMR: Auto-Installer
 Fast configuration
 Auto-discovery
 Workload optimized
 Repeatable best
practices
 For MySQL Cluster
7.2 + 7.3
Specify
Workload
Auto-
Discover
Define
TopologyDeploy

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Scalability a
Performance a
HA a
Ease of use a
SQL/Joins a
ACID Transactions a

13. Copyright © 2013, Oracle and/or its affiliates. All rights reserved. | 15th June 2013 | Oracle reserves the right to change the timing and content of any future release13

14. Copyright © 2013, Oracle and/or its affiliates. All rights reserved. | 15th June 2013 | Oracle reserves the right to change the timing and content of any future release14
NoSQL Access to MySQL Cluster data
ClusterJ
MySQL
JDBC
Apps
JPA
JNI
Python Ruby
ClusterJPA
Apps Apps Apps Apps Apps
Node.js
JS
Apps
mod-ndb
Apache
Apps
ndb-eng
Memcached
Apps Apps
NDB API (C++)
MySQL Cluster Data Nodes
Apps
PHP PERL
Apps

15. Copyright © 2013, Oracle and/or its affiliates. All rights reserved. | 15th June 2013 | Oracle reserves the right to change the timing and content of any future release15
MySQL Cluster 7.3 EA: Node.js NoSQL API
 Native JavaScript access to MySQL Cluster
– End-to-End JavaScript: browser to the app &
DB
– Storing and retrieving JavaScript objects
directly in MySQL Cluster
– Eliminate SQL transformation
 Implemented as a module for node.js
– Integrates Cluster API library within the web app
 Couple high performance, distributed apps,
with high performance distributed database
 Optionally routes through MySQL Server
V8 JavaScript Engine
MySQL Cluster Node.js Module
MySQL Cluster Data Nodes
Clients

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MySQL Cluster 7.3: JavaScript Connector for node
Modular connector with
various back-end
adapters:
• ndb: low-level native
access to MySQL Cluster
• mysql: access to any
MySQL server (translates
operations to SQL
statements)
var nosql = require('mysql-js');
var annotations = new
nosql.TableMapping('towns').applyTo
Class(Town);
var dbProperties =
nosql.ConnectionProperties('ndb');
nosql.openSession(dbProperties,
Town, annotations, onSession);
Tutorial https://blogs.oracle.com/MySQL/entry/mysql_cluster_tutorial_nosql_api

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var onSession = function(err, session) {
if (err) {console.log(err);
process.exit(0);} else {
var data = new Town('Maidenhead',
'Berkshire');
session.persist(data, onInsert, data,
session);
}
};
MySQL Cluster NoSQL API for Node.js

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var onInsert = function(err, object, session) {
if (err) {console.log(err);} else {
console.log('Inserted: ' +
JSON.stringify(object));
session.find(Town, 'Maidenhead',
onFind);
}
};
MySQL Cluster NoSQL API for Node.js

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var onFind = function(err, result) {
if (err) {console.log(err);} else {
console.log('Found: ' +
JSON.stringify(result));
}
process.exit(0);
};
MySQL Cluster NoSQL API for Node.js

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MySQL Cluster NoSQL API for Node.js & FKs
 FKs enforced on all APIs:
{ message: 'Error',
sqlstate: '23000',
ndb_error: null,
cause:
{ message: 'Foreign key constraint violated: No parent row found
[255]',
sqlstate: '23000',
ndb_error:
{ message: 'Foreign key constraint violated: No parent row found',
code: 255,
classification: 'ConstraintViolation',
handler_error_code: 151,
status: 'PermanentError' },
cause: null } }

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Cluster & Memcached – Schema-Free
<town:maidenhead,SL6>
key value
<town:maidenhead,SL6>
key value
Key Value
town:maidenhead SL6
generic table
Application view
SQL view

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Cluster & Memcached – Configured Schema
<town:maidenhead,SL6>
prefix key value
<town:maidenhead,SL6>
key value
Prefix Table Key-col Val-col policy
town: map.zip town code cluster
Config tables
town ... code ...
maidenhead ... SL6 ...
map.zip
Application view
SQL view