Question 1

How to use MapDB as a persistent cache in Spring Boot?

Accepted Answer

Integrate MapDB by adding the Maven dependency and creating a DB instance with DBMaker.fileDB() for disk persistence, then expose it as a bean for caching. Use its hashMap or other collections with expiration policies for cache management.

Question 2

MapDB vs Redis for in-memory caching in Java?

Accepted Answer

MapDB is better for embedded, disk-backed caching within the JVM with off-heap options, while Redis is a standalone, networked cache with broader data structures and clustering. Choose MapDB for low-latency, single-JVM apps; Redis for distributed systems.

Question 3

How to handle transactions in MapDB?

Accepted Answer

Enable transactions using DBMaker.transactionEnable() and use the DB instance to create transactional collections; commit or rollback changes with db.commit() or db.rollback(), supporting ACID properties as per the documentation.

Question 4

What are MapDB performance benchmarks for large datasets?

Accepted Answer

MapDB offers good performance for disk-backed and off-heap storage, but benchmarks vary by use case; test with your data as factors like cache size and storage type (memory vs. file) impact speed, especially for writes and scans.

Question 5

How to backup a MapDB database incrementally?

Accepted Answer

Use MapDB's incremental backup feature by enabling it during DB creation with DBMaker.backupEnable() and periodically calling backup methods; this minimizes downtime and storage, as mentioned in the transactional database features.

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