Webinar: Building Your First App with MongoDB and Java

1. Building Java Applications on MongoDB Aveek Bushan aveekshith.bushan@mongodb.com Solutions Architect – APAC Lead •  @aveekshith

2. Contents •  From Sampling to n=all •  Implica1ons from a Data Standpoint •  Building an Applica1on in Java •  Core Features of MongoDB •  Connec1ng the Dots

3. Random Sample Image Source: SurveyMonkey Sampling • Based on Random Sampling • Used in a variety of ﬁelds – Opinion Polls, Bug Es1ma1on etc Issues • Loss of detail – 3% margin of error • Are the samples truly Random? • Outliers might have very interes1ng informa1on • Black Swan Events have a massive impact that cannot be captured in a Normal Distribu1on

4. N=All Causa1on to Correla1on From Why to What Ever-‐more Ubiquitous access to the Digital World Cost of Storage has plummeted over the years Ability to process Unstructured and semi-‐structured informa1on SoUware tools that can process the data at real-‐1me Source: Big Data – Viktor Mayer-‐Schönberger and Kenneth Cukier

5. Data Implications

6. Data Implications Rich Data Data Variety Fast Processing Data Availability Data Volume Geo-‐ Spa1al Real-‐1me Access Data Durability

7. Expressive Query Language Strong Consistency Secondary Indexes Flexibility Scalability Performance MongoDB - Nexus Architecture Relational + NoSQL

8. Example Application Requirements •  Skillsets of Employees •  Certification and Skill level •  Dashboard View of real-time data •  Scalable, Reliable and Performant Database

9. Design the Schema Embedded Informa1on Sub-‐documents, Arrays etc Na1vely Supported Diﬀering Data RD DVa FP DA DVo GS RTA DD

10. Preparing the Java Application •  Add the driver Libraries to the Classpath 3.0 New Features –  Generic MongoCollec1on Interface –  New Asynchronous API –  New Codec Infrastructure –  New Core Driver •  Start the MongoDB instance. Let’s start with a standalone instance. For a write-‐ performant storage engine, start the mongod with –storageEngine wiredTiger

11. Build the Java Object Or Use a Object-‐ Document Mapper such as Morphia @En1ty public class coll { @Id private int id; private String name; @Embedded private List<SkillsPOJO> skills; @Embedded private InfoPOJO info; @Embedded public class SkillsPOJO { private String skill; private int level; private String version; private boolean cer1ﬁed; // Similarly for Info POJO public class DataObject { private int id; private String name; private List<SkillObject> obj; private InfoObject info; public class SkillObject { private String skill; private int level; private String version; private boolean cer1ﬁed; public class InfoObject { private String dept; private int experience; private List<Double> gps; private String loca1on; private boolean reviewed;

12. DB Tier Connect to MongoDB mongod Java Client Driver public void MongoConnect(String[] hosts) { List<ServerAddress> seeds = new ArrayList<ServerAddress>(); for (String h : hosts) { // MongoDB Server address and Port seeds.add(new ServerAddress(h)); } // MongoDB client with internal connec1on pooling. client = new MongoClient(seeds); // The database to connect to database = client.getDatabase("mydb"); // The collec1on to connect to collec6on = database.getCollec/on("coll"); } import com.mongodb.MongoClient; import com.mongodb.client.MongoCollec1on; import com.mongodb.client.MongoDatabase;

13. Or Use an ODM import com.mongodb.MongoClient; import com.mongodb.client.MongoCollec1on; import com.mongodb.client.MongoDatabase; import org.mongodb.morphia.Datastore; import org.mongodb.morphia.Morphia; public void MorphiaConnect(String[] hosts) { List<ServerAddress> seeds = new ArrayList<ServerAddress>(); for (String h : hosts) { seeds.add(new ServerAddress(h)); } client = new MongoClient(seeds); morphia = new Morphia(); // Map the Morphia Object morphia.map(coll.class).map(SkillsPOJO.class). map(InfoPOJO.class); // Create a datastore to interact with MongoDB // using POJOs ds = morphia.createDatastore(client, "mydb"); } DB Tier mongod Java Client Driver

14. Authentication String dbName = ”testdb"; String userName = "user1"; char[] password = {‘p',’w',’d'}; MongoCreden1al creden1al = MongoCredenAal.createMongoCRCreden/al( dbName, userName, password); // With the appropriate Creden1al client = new MongoClient(seeds, Arrays.asList(creden1al));

15. Perform some Inserts Using Morphia Document doc = new Document("_id", emplList.get(i).getId()) .append("name", emplList.get(i).getName()) .append("skills", skillBOList) .append("info", new Document("dept", info.getDept()) .append("yearsexp", info.getExperience()) .append("gps", info.getGPS()) .append("loca1on", info.getLoca1on())); collec/on.insertOne(doc); import org.bson.Document; import com.mongodb.client.MongoCollec1on; public void insert(List<coll> emplList) throws InterruptedExcep1on { ds.save(emplList); } RD DVa FP DA DVo GS RTA DD

16. Async Operations // Factory of MongoClient Instances client = MongoClients.create("mongodb://localhost"); database = client.getDatabase("mydb"); collec6on = database.getCollec6on("coll"); … // methods that cause network IO take a SingleResponseCallback<T> and return immediately collec6on.insertOne(doc, new SingleResultCallback<Void>() { @Override public void onResult(ﬁnal Void result, ﬁnal Throwable t) { System.out.println("Inserted!"); } }); … import com.mongodb.async.SingleResultCallback; import com.mongodb.async.client.*; RD DVa FP DA DVo GS RTA DD

17. Retrieve the Data import sta1c com.mongodb.client.model.Filters.*; … public void read(int id) { Document myDoc = collec/on.find(eq("_id", id)).first(); System.out.println("Read Document with id: " + id + "n” + myDoc.toJson() + "n"); … } Using Morphia List<coll> empl = ds.createQuery(coll.class).filter("id =", id) .asList(); RD DVa FP DA DVo GS RTA DD

18. Retrieving a Datapoint { "_id" : 5, "name" : "John Snow", "skills" : [ { "name" : "java", "level" : 3, "cerAﬁed" : true }, { "name" : "mongo", "level" : 5 } ], "info" : { "dept" : "A91", "yearsexp" : 3, "gps" : [-‐74.00597, 40.71427], "locaAon" : "New York" } } RD DVa FP DA DVo GS RTA DD

19. Geo-Location Query import sta1c com.mongodb.client.model.Filters.*; … public void read(List<Double> gps, Double maxDistance, Double minDistance) { double longitude = gps.get(0); double la1tude = gps.get(1); collec6on.createIndex(new Document("info.gps", "2dsphere")); MongoCursor<Document> cursor = collec/on.ﬁnd( near("info.gps", new Point( new PosiAon(longitude, laAtude)), maxDistance, minDistance)).iterator(); while (cursor.hasNext()) { … } … } RD DVa FP DA DVo GS RTA DD

20. Geo-Location - Output •  Query to get all employees in and around Boston(GPS coordinates Lat 42.35843, Long -71.05977), within maxDistance of 400,000 Ms { "_id" : 5, "name" : "John Snow", "skills" : [ { "name" : "java", "level" : 3, "cerAﬁed" : true }, { "name" : "mongo", "level" : 5 } ], "info" : { "dept" : "A91", "yearsexp" : 3, "gps" : [-‐74.00597, 40.71427], "locaAon" : "New York" } } { "_id" :45, "name" : ”Jack Kingsley", "skills" : [ { "name" : ”c++", "level" : 4 }, { "name" : "mongo", "level" : 2, “version”: “3.0” } ], "info" : { "dept" : ”A83", "yearsexp" : 18, "gps" : [-‐71.05977, 42.35843], "locaAon" : ”Boston" } RD DVa FP DA DVo GS RTA DD

21. Update the Data import sta1c com.mongodb.client.model.Filters.*; … Map<String, Object> updateOps = new HashMap<String, Object>(); updateOps.put("$inc", new Document("info.yearsexp", 1)); updateOps.put("$set", new Document("info.reviewed", true)); result = collec/on.updateOne(eq("_id", id), new Document(updateOps)); Using Morphia Query<coll> query = ds.createQuery(coll.class).ﬁeld("id").equal(id); UpdateOpera1ons<coll> ops = ds.createUpdateOpera/ons(coll.class) .inc("info.experience", 1) .set("info.reviewed", true); ds.update(query, ops); RD DVa FP DA DVo GS RTA DD

22. Update - Output •  Data point has been reviewed after 1 more year of employment { "_id" : 5, "name" : "John Snow", "skills" : [ { "name" : "java", "level" : 3, "cer1ﬁed" : true }, { "name" : "mongo", "level" : 5 } ], "info" : { "dept" : "A91", "yearsexp" : 3, "gps" : [-‐74.00597, 40.71427], "loca1on" : "New York" } } { "_id" : 5, "name" : "John Snow", "skills" : [ { "name" : "java", "level" : 3, "cer1ﬁed" : true }, { "name" : "mongo", "level" : 5 } ], "info" : { "dept" : "A91", "yearsexp" : 4, "gps" : [-‐74.00597, 40.71427], "loca1on" : "New York”, “reviewied” : true } } RD DVa FP DA DVo GS RTA DD

23. Delete Data Using Morphia import sta1c com.mongodb.client.model.Filters.*; … public void delete(int id) { collec/on.deleteOne(eq("_id", id)); System.out.println("Deleted Document with id: " + id + "n"); … } public void delete(int id) { Query<coll> query = ds.createQuery(coll.class) .ﬁeld("id").equal(id); ds.delete(query); … } RD DVa FP DA DVo GS RTA DD

24. Replica Set High Availability Secondary Secondary Primary Java Client Driver ✔ ✔ ✔ •  Automated Fail-‐ over •  Rolling upgrades •  Mul1 Data Center Support •  Data Durability and Strong Consistency Heartbeat RD DVa FP DA DVo GS RTA DD

25. MongoDB set up Use MongoDB OpsManager or Cloud Manager Automation to set up the cluster (or) sudo mongod --port 27017 --dbpath /data/rs1 --replSet rs --logpath /logs/rs1.log --fork sudo mongod --port 27018 --dbpath /data/rs2 --replSet rs --logpath /logs/rs2.log --fork sudo mongod --port 27019 --dbpath /data/rs3 --replSet rs --logpath /logs/rs3.log --fork mongo --port 27017 > config = { "_id" : "rs", "members" : [ ... {"host":"localhost:27017", "_id":0}, ... {"host":"localhost:27018", "_id":1}, ... {"host":"localhost:27019", "_id":2} ... ] ... } rs.initiate(config) In the Java Program, pass the addresseses and Ports of the replica set members as part of the Connec1on String RD DVa FP DA DVo GS RTA DD

26. Ensuring Durability •  By default, WriteConcern is Acknowledged => received write opera1on and has applied the change in-‐memory •  Primary Server crash means that the data might be lost •  Stricter WriteConcern such as Majority or w:2 for (int retry = 0; retry < 3; retry++) { try { collec6on.withWriteConcern(WriteConcern.MAJORITY) .insertOne(doc); break; } catch (Excep1on e) { e.getMessage(); Thread.sleep(5000); } } RD DVa FP DA DVo GS RTA DD

27. Eventual Consistency Repor1ng Applica1on Driver Replica Set P S S •  Read from the nearest node for lower latency •  Read-‐only applica1ons where eventual consistency is OK – For Ex: Repor1ng Applica1ons •  Can be achieved using ReadPreference in MongoDB •  Modes of Primary, PrimaryPreferred, Secondary, SecondaryPreferred and Nearest Repor1ng Applica1on and Secondary Member are on the same DC myDoc = collec6on .withReadPreference(ReadPreference.nearest()) .ﬁnd(eq("_id", id)).ﬁrst();

28. HA Best Practices •  HA against DC failures and ac1ve-‐ac1ve => 5 Nodes across 3 DCs •  For Writes => Majority Nodes Need to be in Ac1ve State •  For Reads => Secondary Reads can con1nue •  Majority Inac1ve => Force Reconfig to con1nue Writes rs:SECONDARY> config = { "_id" : "rs", "members" : [ ... {"host":"localhost:27018", "_id":1} ... ] ... } rs:SECONDARY> rs.reconfig(config, {force:true}) { "ok" : 1 } rs:PRIMARY> Replica Set Removed Removed Primary Java Client Driver ✔ ✗ ✗

29. Aggregation of Data import sta1c com.mongodb.client.model.Accumulators.avg; import sta1c com.mongodb.client.model.Accumulators.sum; import sta1c com.mongodb.client.model.Aggregates.group; import sta1c com.mongodb.client.model.Aggregates.sort; import sta1c com.mongodb.client.model.Aggregates.unwind; import sta1c com.mongodb.client.model.Aggregates.out; … public void deptForSkills() { Document group = new Document(); group.append("skills", "$skills.name"); group.append("dept", "$info.dept"); AggregateIterable<Document> iter = collec6on.aggregate(Arrays .asList(unwind("$skills"), group(group, avg("avgLevel", "$skills.level"), sum("count", 1)), sort(new Document().append( "_id.skills", 1).append( "avgLevel", -‐1)), out("skills"))); } RD DVa FP DA DVo GS RTA DD { "_id" : 5, "name" : "John Snow", "skills" : [ { "name" : "java", "level" : 3, "cerAﬁed" : true }, { "name" : "mongo", "level" : 5 } ], "info" : { "dept" : "A91", "yearsexp" : 3, "gps" : [-‐74.00597, 40.71427], "locaAon" : "New York" } }

30. Aggregation - Output { "_id" : { "skills" : "c++", "dept" : "A75" }, "avgLevel" : 5, "count" : 10 } { "_id" : { "skills" : "c++", "dept" : "A83" }, "avgLevel" : 4.666666666666667, "count" : 30 } { "_id" : { "skills" : "c++", "dept" : "A91" }, "avgLevel" : 3, "count" : 10 } { "_id" : { "skills" : "java", "dept" : "A75" }, "avgLevel" : 4, "count" : 10 } { "_id" : { "skills" : "java", "dept" : "A83" }, "avgLevel" : 3.5, "count" : 10 } { "_id" : { "skills" : "java", "dept" : "A91" }, "avgLevel" : 3, "count" : 40 } { "_id" : { "skills" : "mongo", "dept" : "A91" }, "avgLevel" : 5, "count" : 40} { "_id" : { "skills" : "mongo", "dept" : "A83" }, "avgLevel" : 2, "count" : 10 } { "_id" : { "skills" : "mongo", "dept" : "A75" }, "avgLevel" : 1, "count" : 10 } RD DVa FP DA DVo GS RTA DD

31. DB Tier Sharding Shard 1 Java Client Driver Shard 2 P S S P S S Router Router … Client Tier Config Server Config Server Config Server Shard n P S S •  Scale as you grow •  Redundancy is built-‐in at all levels •  3 Types of Sharding – Range, Hashed or Tag-‐ Aware RD DVa FP DA DVo GS RTA DD

32. MongoDB set up Use MongoDB OpsManager or Cloud Manager Automation to set up the cluster (or) sudo mongod --port 37017 --dbpath /data/shard1 --logpath /logs/shard1.log –fork sudo mongod --port 37018 --dbpath /data/shard2 --logpath /logs/shard2.log –fork sudo mongod --port 47017 --dbpath /data/cfg —configsvr --logpath /logs/cfg.log –fork sudo mongos --port 57017 --configdb localhost:47017 sudo mongos --port 57018 --configdb localhost:47017 mongo --port 57017 > sh.addShard("localhost:37017”) > sh.addShard("localhost:37018”) > sh.enableSharding("mydb”) > sh.shardCollection("mydb.coll",{"_id":1}) In the Java Program, pass the Router IP addresseses and Ports as part of the Connec1on String RD DVa FP DA DVo GS RTA DD

33. MongoDB for a Big Data World Rich Data Data Variety Fast Processing Data Availability Data Volume Geo-‐ Spa1al Real-‐1me Access Data Durability

34. MongoDB for a Big Data World Rich Data Data Variety Fast Processing Data Availability Data Volume Geo-‐ Spa1al Real-‐1me Access Data Durability Flexible Data Model and Dynamic Schema Embedded Data Na1ve Replica1on Across Data Centers Appropriate WriteConcern Rich Query Model and Aggrega1on Na1ve Geo-‐ Spa1al Features Horizontal Scalability as you grow Sub-‐documents, Arrays etc

35. More Information – Java/MongoDB Resource Location MongoDB Java Driver http://docs.mongodb.org/ ecosystem/drivers/java/ Java API to connect to MongoDB http://api.mongodb.org/java/3.0/ Driver Download http://mongodb.github.io/mongo- java-driver/ Morphia Project https://github.com/mongodb/ morphia Hadoop Driver for MongoDB http://docs.mongodb.org/ ecosystem/tools/hadoop/ University Course https://university.mongodb.com/ courses/M101J/about? jmp=docs&_ga=1.249916550.186 6581253.1440492145

36. Resource Location Case Studies mongodb.com/customers Presentations mongodb.com/presentations Free Online Training university.mongodb.com Webinars and Events mongodb.com/events Documentation docs.mongodb.org MongoDB Downloads mongodb.com/download Additional Info info@mongodb.com More Information – MongoDB

37. Thank You! aveekshith.bushan@mongodb.com You can reach me at

Webinar: Building Your First App with MongoDB and Java

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