Java Persistence Performance Illustrated Guide
Java Persistence Performance Illustrated Guide
About the Book
This book covers the most common and dangerous performance issues related to the persistence layer: Hibernate, JPA, SQL, JDBC and Hazelcast (check out the book sample). Each performance recipe has a short and condensed description and a "handmade" image that will expose the issue and the potential approaches to avoid it.
Table of Contents
Introduction
SQL
Lifecycle
SQL statement lifecycle
Avoid DDL generation in production
Indexes/statements
Using functions in the WHERE clause
Why the index column order matters
Primary key vs. Unique key
LIKE vs. equal (=)
LIKE wildcards usage
UNION vs. UNION ALL and JOIN flavors
RDBMS Headlines
Scaling
Master-slave replication
Multi-master replication
Sharding
Throughput and response time
Connections
JDBC DriverManager and DataSource
Using a connection pool
Spring post-commit hooks and connection release
Detect database connection leaks
Little's law
Result Set
Limit the result set
Result set scrollability
Transactions
Atomicity (ACID)
Consistency (ACID)
Isolation (ACID)
Durability (ACID)
Transaction rollback
Deadlock
Non-repeatable reads vs. repeatable reads
Two-phase locking (2PL)
Dirty read
Dirty write
Lost update
Phantom read
Read skew
Write skew
Read Uncommitted
Read Committed
Repeatable Reads
Serializable
JPA & Hibernate
Identifiers
Choose between identifiers generation strategies
The equals() and hashCode() methods
The hi/lo algorithm
Hibernate natural id (@NaturalId)
Querying
DTOs
Hibernate simple SELECT
Using Criteria API
Hibernate and SQL native queries
Show and slow SQLs
Spring redundant save() call
Java 8 Date/Time mapping
Store date, time and timestamps in UTC time zone
7 Ways to delete objects with Hibernate
The JDBC, java.sql.Statement
The JDBC, java.sql.PreparedStatement
Fetching and Loading
Hibernate attributes lazy fetching
Hibernate and JPA fetching entities
Hibernate fetching size
Hibernate loading entities
Direct fetching
Fetching a Proxy reference
Populating a child-side parent association via Proxy
Read only data
Index scan in offset and seek (paging)
N+1
Hibernate HINT_PASS_DISTINCT_THROUGH
Streaming results via Java 8 and Spring Data JPA 1.8
Using Optional in entities
Batching
Hibernate batching
Bulk vs. batch
Hibernate setup batching
PostgreSQL (BIG)SERIAL and batching inserts
Flushing
JPA & Hibernate entity state transitions
Hibernate auto flush
Hibernate dirty checking
Hibernate flushing order
JPA @EntityListeners with callbacks
Relationships
The bidirectional @OneToMany association
JPA/Hibernate @MapsId and unidirectional @OneToOne
Using collection relationships
@ElementCollection
@OneToMany association and insert entities
@OneToMany association and delete entities
6 Best practices for one-to-many and many-to-one associations
Many-to-many and cascade type
Unidirectional @ManyToMany
Unidirectional @ManyToMany Persist & Remove
Bidirectional @ManyToMany
The Open Session in View Anti-Pattern
Inheritance
JPA Single Table Inheritance Strategy
JPA Joined Subclass Inheritance Strategy
JPA Table per Class Inheritance Strategy
@MappedSuperclass
Transactions
Read-only transactions in Spring and Hibernate
Hibernate 5.2.10 get connection as needed
Use @Transactional on repository or on service
Use explicit transactions even for read-only statements
Concurrency
Optimistic locking
LockModeType.OPTIMISTIC_FORCE_INCREMENT
LockModeType.PESSIMISTIC_FORCE_INCREMENT
Pessimistic Locking in UPDATE, DELETE and INSERT
Caching
Hibernate second level cache concurrency strategies
Immutable entities and Second Level Cache (SLC)
Exceptions
Hibernate LazyInitializationException
OptimisticLockException
PersistObjectException
AnnotationException
Microservices
Sagas
Anomalies in microservices sagas
Semantic Lock
Commutative Updates
Reread Value
Version File
Hazelcast
IDs
Generating cluster-wide unique IDs
Distributed Map
Hazlecast in-memory format
The 12 IMap performance tips
Concurrency
Hazelcast pessimistic locking
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