This guide covers essential MongoDB driver concepts commonly asked in technical interviews. Each question includes detailed answers and practical examples.
MongoDB drivers are language-specific libraries that enable applications to interact with MongoDB databases. Key benefits include:
Connection pooling implementation:
// Configure connection pool
MongoClientSettings settings = MongoClientSettings.builder()
.applyConnectionString(new ConnectionString("mongodb://localhost:27017"))
.applyToConnectionPoolSettings(builder ->
builder.maxSize(100)
.minSize(10)
.maxWaitTime(5000, TimeUnit.MILLISECONDS)
.maxConnectionLifeTime(30, TimeUnit.MINUTES))
.build();
// Create client with pool
MongoClient client = MongoClients.create(settings);
// Use connection pool
try (MongoDatabase database = client.getDatabase("myapp")) {
MongoCollection collection = database.getCollection("users");
// Perform operations
}
// Configure connection pool
const { MongoClient } = require('mongodb');
const options = {
maxPoolSize: 100,
minPoolSize: 10,
maxIdleTimeMS: 30000,
connectTimeoutMS: 5000,
socketTimeoutMS: 45000
};
// Create client with pool
const client = new MongoClient('mongodb://localhost:27017', options);
async function run() {
try {
await client.connect();
const db = client.db('myapp');
const collection = db.collection('users');
// Perform operations
} finally {
await client.close();
}
}
Error handling and retry logic:
// Java error handling
try {
MongoCollection collection = database.getCollection("users");
collection.insertOne(document);
} catch (MongoWriteException e) {
if (e.getError().getCode() == 11000) {
// Handle duplicate key error
} else {
throw e;
}
} catch (MongoTimeoutException e) {
// Handle timeout
} catch (MongoException e) {
// Handle other MongoDB errors
}
// Node.js error handling
try {
await collection.insertOne(document);
} catch (error) {
if (error.code === 11000) {
// Handle duplicate key error
} else if (error.name === 'MongoTimeoutError') {
// Handle timeout
} else {
throw error;
}
}
// Java retry logic
public T withRetry(Supplier operation, int maxRetries) {
int attempts = 0;
while (attempts < maxRetries) {
try {
return operation.get();
} catch (MongoException e) {
attempts++;
if (attempts == maxRetries) {
throw e;
}
// Exponential backoff
Thread.sleep((long) Math.pow(2, attempts) * 100);
}
}
throw new MongoException("Max retries exceeded");
}
// Node.js retry logic
async function withRetry(operation, maxRetries = 3) {
let attempts = 0;
while (attempts < maxRetries) {
try {
return await operation();
} catch (error) {
attempts++;
if (attempts === maxRetries) {
throw error;
}
// Exponential backoff
await new Promise(resolve =>
setTimeout(resolve, Math.pow(2, attempts) * 100)
);
}
}
}
Driver performance optimization:
// Java optimization
MongoClientSettings settings = MongoClientSettings.builder()
.applyConnectionString(new ConnectionString("mongodb://localhost:27017"))
.applyToSocketSettings(builder ->
builder.connectTimeout(5000, TimeUnit.MILLISECONDS)
.readTimeout(5000, TimeUnit.MILLISECONDS))
.applyToServerSettings(builder ->
builder.heartbeatFrequency(10000, TimeUnit.MILLISECONDS))
.applyToClusterSettings(builder ->
builder.serverSelectionTimeout(5000, TimeUnit.MILLISECONDS))
.build();
// Node.js optimization
const options = {
connectTimeoutMS: 5000,
socketTimeoutMS: 5000,
heartbeatFrequencyMS: 10000,
serverSelectionTimeoutMS: 5000,
maxPoolSize: 100,
minPoolSize: 10
};
// Java batch operations
List> operations = new ArrayList<>();
for (Document doc : documents) {
operations.add(new InsertOneModel<>(doc));
}
BulkWriteResult result = collection.bulkWrite(operations);
// Node.js batch operations
const operations = documents.map(doc => ({
insertOne: { document: doc }
}));
const result = await collection.bulkWrite(operations);
Follow these driver best practices:
// Java connection management
public class MongoConnectionManager {
private static MongoClient client;
public static synchronized MongoClient getClient() {
if (client == null) {
MongoClientSettings settings = MongoClientSettings.builder()
.applyConnectionString(new ConnectionString("mongodb://localhost:27017"))
.build();
client = MongoClients.create(settings);
}
return client;
}
public static void closeClient() {
if (client != null) {
client.close();
client = null;
}
}
}
// Node.js connection management
class MongoConnectionManager {
static client = null;
static async getClient() {
if (!this.client) {
this.client = new MongoClient('mongodb://localhost:27017');
await this.client.connect();
}
return this.client;
}
static async closeClient() {
if (this.client) {
await this.client.close();
this.client = null;
}
}
}
// Java query optimization
public class MongoQueryOptimizer {
public static FindIterable optimizeQuery(
MongoCollection collection,
Document query,
Document projection
) {
return collection.find(query)
.projection(projection)
.hint("index_name")
.batchSize(1000)
.maxTime(5000, TimeUnit.MILLISECONDS);
}
}
// Node.js query optimization
class MongoQueryOptimizer {
static optimizeQuery(collection, query, projection) {
return collection.find(query)
.project(projection)
.hint('index_name')
.batchSize(1000)
.maxTimeMS(5000);
}
}