Aleksa Vukotic, Nicki Watt Tareq Abedrabbo, Dominic Fox, Jonas Partner - Neo4j in Action [2014, ePub, ENG]

foreword
preface
acknowledgments
about this book
about the authors
about the cover illustration
Part 1 Introduction to Neo4j
1. A case for a Neo4j database
1.1. Why Neo4j?
1.2. Graph data in a relational database
1.2.1. Querying graph data using MySQL
1.3. Graph data in Neo4j
1.3.1. Traversing the graph
1.4. SQL joins versus graph traversal on a large scale
1.5. Graphs around you
1.6. Neo4j in NoSQL space
1.6.1. Key-value stores
1.6.2. Column-family stores
1.6.3. Document-oriented databases
1.6.4. Graph databases
1.6.5. NoSQL categories compared
1.7. Neo4j: the ACID-compliant database
1.8. Summary
2. Data modeling in Neo4j
2.1. What is a data model for Neo4j?
2.1.1. Modeling with diagrams: a simple example
2.1.2. Modeling with diagrams: a complex example
2.2. Domain modeling
2.2.1. Entities and properties
2.3. Further examples
2.3.1. Underground stations example
2.3.2. Band members example
2.4. Summary
3. Starting development with Neo4j
3.1. Modeling graph data structures
3.2. Using the Neo4j API
3.2.1. Creating nodes
3.2.2. Creating relationships
3.2.3. Adding properties to nodes
3.2.4. Node type strategies
3.2.5. Adding properties to relationships
3.3. Node labels
3.4. Summary
4. The power of traversals
4.1. Traversing using the Neo4j Core Java API
4.1.1. Finding the starting node
4.1.2. Traversing direct relationships
4.1.3. Traversing second-level relationships
4.1.4. Memory usage considerations
4.2. Traversing using the Neo4j Traversal API
4.2.1. Using Neo4j’s built-in traversal constructs
4.2.2. Implementing a custom evaluator
4.3. Summary
5. Indexing the data
5.1. Creating the index entry
5.2. Finding the user by their email
5.3. Dealing with more than one match
5.4. Dealing with changes to indexed data
5.5. Automatic indexing
5.5.1. Schema indexing
5.5.2. Auto-indexing
5.6. The cost/benefit trade-off of indexing
5.6.1. Performance benefit of indexing when querying
5.6.2. Performance overhead of indexing when updating and inserting
5.6.3. Storing the index
5.7. Summary
Part 2 Application Development with Neo4j
6. Cypher: Neo4j query language
6.1. Introduction to Cypher
6.1.1. Cypher primer
6.1.2. Executing Cypher queries
6.2. Cypher syntax basics
6.2.1. Pattern matching
6.2.2. Finding the starting node
6.2.3. Filtering data
6.2.4. Getting the results
6.3. Updating your graph with Cypher
6.3.1. Creating new graph entities
6.3.2. Deleting data
6.3.3. Updating node and relationship properties
6.4. Advanced Cypher
6.4.1. Aggregation
6.4.2. Functions
6.4.3. Piping using the with clause
6.4.4. Cypher compatibility
6.5. Summary
7. Transactions
7.1. Transaction basics
7.1.1. Adding in a transaction
7.1.2. Finishing what you start and not trying to do too much in one go
7.2. Transactions in depth
7.2.1. Transaction semantics
7.2.2. Reading in a transaction and explicit read locks
7.2.3. Writing in a transaction and explicit write locks
7.2.4. The danger of deadlocks
7.3. Integration with other transaction management systems
7.4. Transaction events
7.5. Summary
8. Traversals in depth
8.1. Traversal ordering
8.1.1. Depth-first
8.1.2. Breadth-first
8.1.3. Comparing depth-first and breadth-first ordering
8.2. Expanding relationships
8.2.1. StandardExpander
8.2.2. Ordering relationships for expansion
8.2.3. Custom expanders
8.3. Managing uniqueness
8.3.1. NODE_GLOBAL uniqueness
8.3.2. NODE_PATH uniqueness
8.3.3. Other uniqueness types
8.4. Bidirectional traversals
8.5. Summary
9. Spring Data Neo4j
9.1. Where does SDN fit in?
9.1.1. What is Spring and how is SDN related to it?
9.1.2. What is SDN good for (and not good for)?
9.1.3. Where to get SDN
9.1.4. Where to get more information
9.2. Modeling with SDN
9.2.1. Initial POJO domain modeling
9.2.2. Annotating the domain model
9.2.3. Modeling node entities
9.2.4. Modeling relationship entities
9.2.5. Modeling relationships between node entities
9.3. Accessing and persisting entities
9.3.1. Supporting Spring configuration
9.3.2. Neo4jTemplate class
9.3.3. Repositories
9.3.4. Other options
9.4. Object-graph mapping options
9.4.1. Simple mapping
9.4.2. Advanced mapping based on AspectJ
9.4.3. Object mapping summary
9.5. Performing queries and traversals
9.5.1. Annotated queries
9.5.2. Dynamically derived queries
9.5.3. Traversals
9.6. Summary
Part 3 Neo4j in Production
10. Neo4j: embedded versus server mode
10.1. Usage modes overview
10.2. Embedded mode
10.2.1. Core Java integration
10.2.2. Other JVM-based integration
10.3. Server mode
10.3.1. Neo4j server overview
10.3.2. Using the fine-grained Neo4j server REST API
10.3.3. Using the Cypher Neo4j server REST API endpoint
10.3.4. Using a remote client library to help access the Neo4j server
10.3.5. Server plugins and unmanaged extensions
10.4. Weighing the options
10.4.1. Architectural considerations
10.4.2. Performance considerations
10.4.3. Other considerations
10.5. Getting the most out of the server mode
10.5.1. Avoid fine-grained operations
10.5.2. Using Cypher
10.5.3. Server plugins
10.5.4. Unmanaged extensions
10.5.5. Streaming REST API
10.6. Summary
11. Neo4j in production
11.1. High-level Neo4j architecture
11.1.1. Setting the scene …
11.1.2. Disks
11.1.3. Store files
11.1.4. Neo4j caches
11.1.5. Transaction logs and recoverability
11.1.6. Programmatic APIs
11.2. Neo4j High Availability (HA)
11.2.1. Neo4j clustering overview
11.2.2. Setting up a Neo4j cluster
11.2.3. Replication—reading and writing strategies
11.2.4. Cache sharding
11.2.5. HA summary
11.3. Backups
11.3.1. Offline backups
11.3.2. Online backups
11.3.3. Restoring from backup
11.4. Topics we couldn’t cover but that you should be aware of
11.4.1. Security
11.4.2. Monitoring
11.5. Summary
11.6. Final thoughts
Appendix A: Installing Neo4j server
A.1. Installing and configuring a single Neo4j server
A.2. Neo4j browser
A.3. Neo4j Web Admin Console
Appendix B: Setting up and running the sample code
B.1. Setting up your environment
B.2. Running the demos and samples
Appendix C: Setting up your project to use SDN
C.1. Maven configuration
C.2. Spring configuration
Appendix D: Getting more help
index