Let’s be honest: the amount of data collected by applications nowadays is growing at a scary pace. Many of them need to handle billions of users generating and consuming data at an incredible speed. Maybe you are wondering how to create an application like this? What is needed? What benefits can you take from this reality to your project? This session shows how Jakarta EE can meet these needs when you’re working with NoSQL databases in the cloud. It's the same approach used by some of the biggest companies in the world to store, analyze, and get results from really crazy amounts of data. No matter your project size, you can take it to the next level today.

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Jakarta EE Meets NoSQL at the
Cloud Age
Elder Moraes, Developer Advocate, Oracle
Otavio Santana, Sr Software Engineer, Tomitribe
October, 2018

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Safe Harbor 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.
2

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"The reports about my death are a little
exaggerated"
- Java EE

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Why Java EE isn't dead

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Ok, ok...
...now talk about Jakarta EE

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• What has been moved from Oracle to Eclipse
• Specifications
• APIs
• RIs
• TCKs
• What won't be moved
• Trademark (that's why the name changed)
Roadmap

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Roadmap
https://www.eclipse.org/ee4j/status.php
• 20% - Project Proposal
• 40% - Project commiters and resources provisioned
• 60% - Initial contribution to the Eclipse IP team
• 80% - Initial contribution pushed to Github
• 100% - First release review
*Ref.: October, 22, 2018

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Cloud Native Applications
• Uses approaches like microservices, services meshes, immutable
infrastructure and declarative APIs
• Dynamically orchestrated in modern environments (public, private and
hybrid clouds)
• Resilient, manageable and observable
• Frequent and predictable changes with minimal impact (through
automation)

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NoSQL
01 Database
02 Doesn't use structure
03 Not Transaction
04 Base
Five different types05

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Key Value
AmazonDynamo
AmazonS3
Redis
Hazelcast
Apollo
Ares
Aphrodite
Sun
War
Love Beauty

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Column Family
Apollo
Aphrodite
Ares
Kratos
Duty
Duty
Duty
Dead Gods
Love, happy
Sun
War
13
Color
weapon
Sword
Row-key ColumnsHBase
Scylla
SimpleDb
Cassandra
DynamoDB
Clouddata

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Document {
"name":"Diana",
"duty":[
"Hunt",
"Moon",
"Nature"
],
"siblings":{
"Apollo":"brother"
}
}
ApacheCouchDB
MongoDB
Riak
Couchbase

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Graph
Apollo Ares
Kratos
was killed by was killed by
killed killed
Neo4j
InfoGrid
Sones
HyperGraphDB

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Multi-Model
01
02
03
04
OrientDB (graph, document)
Couchbase (key value, document)
Elasticsearch (document, graph)
ArangoDB (column family, graph, key-value)

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Scalability vs Complexity
Scalability
Complexity
key-value
Column
Document
Graph

22. CAP

23. SQL vs NoSQL
SQL KEY-VALUE COLUMN DOCUMENTS GRAPH
Table Bucket Column family Collection
Row Key/value pair column Documents Vertex
Column Key/value pair Key/value pair Vertex and Edge
property
Relationship Link Edge

24. Relational Application NoSQL Application
Logic Tier Logic Tier
DAO DAO
JPAJPAJPAJPA
JDBC JDBCJDBCJDBC
Data Tier
APIAPI API
Data Tier

25. The Current Solution
DAO
Solution Solution
Hibernate OGM
TopLink

26. JPA problem for NoSQL
01
02
03
04
05
06
Saves Async
Async Callback
Time to Live (TTL)
Consistency Level
SQL based
Diversity in NoSQL

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Eclipse JNoSQL
DIANA
ARTEMIS
JNoSQL
DAO
Mapping
Communication
Column Documents Key Graph
Data Tier
01
02
03
04
Mapping API
Communication API
No lock-in
Divide and Conquer

28. Communication Issue
ODocument document = new ODocument(“collection”);
document.field(name, value);
JsonObject jsonObject = JsonObject.create();
jsonObject.put(name, value);
BaseDocument baseDocument = new BaseDocument();
baseDocument.addAttribute(name, value);
Document document = new Document();
document.append(name, value);

29. Eclipse JNoSQL
DocumentEntity entity = DocumentEntity.of("collection");
entity.add(name, value);

30. Annotated Entities
01
02
03
Mapped Superclass
Entity
Column
@Entity("god")
public class God {
@Column
private String name;
@Column
private long age;
@Column
private Set<String> powers;
}

31. Template
God artemis = ...;
DocumentTemplate template = …
template.insert(artemis);
template.update(artemis);
DocumentQuery query = ...
List<God> gods = template.select(query);

32. Repository
interface GodRepository extends Repository<God, String> {
Optional<God> findByName(String name);
Stream<God> findByNameAndAgeOrderByName(String name, Integer age);
}

33. We have Query by Text
List<Movie> movies = documentTemplate.query("select * from Movie
where year > 2012");
List<Person> people = columnTemplate.query("select * from Person
where age = 25");
Optional<God> god = keyValueTemplate.query("get 'Diana'");
List<City> cities = graphTemplate.query("g.V().hasLabel('City')");

34. We have Query by Text
PreparedStatement preparedStatement = template.prepare("select * from Person
where name = @name");
preparedStatement.bind("name", "Ada");
List<Person> adas = preparedStatement.getResultList();
//to graph just keep using gremlin
PreparedStatement prepare = graphTemplate().prepare("g.V().hasLabel(param)");
prepare.bind("param", "Person");
List<Person> people = preparedStatement.getResultList();

35. We have Query by Text
interface PersonRepository extends Repository<Person, Long> {
@Query("select * from Person")
Optional<Person> findByQuery();
@Query("select * from Person where id = @id")
Optional<Person> findByQuery(@Param("id") String id);
}

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Demo time!!!

38. NoSQL Providers

39. JUGs/Communities

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http://cloudnative.eldermoraes.comhttp://bit.ly/dev6109
Jakarta EE Meets NoSQL at the
Cloud Age [DEV6109]
@otaviojava @elderjava

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Thank you!!!