Деталі електронної книги

Learning Cypher. Write powerful and efficient queries for Neo4j with Cypher, its official query language

Learning Cypher. Write powerful and efficient queries for Neo4j with Cypher, its official query language

Onofrio Panzarino

Eлектронна книга
  • Learning Cypher
    • Table of Contents
    • Learning Cypher
    • Credits
    • About the Author
    • About the Reviewers
    • www.PacktPub.com
      • Support files, eBooks, discount offers, and more
        • Why subscribe?
        • Free access for Packt account holders
    • Preface
      • What this book covers
      • What you need for this book
      • Who this book is for
      • Conventions
      • Reader feedback
      • Customer support
        • Downloading the example code
        • Errata
        • Piracy
        • Questions
    • 1. Querying Neo4j Effectively with Pattern Matching
      • Setting up a new Neo4j database
        • Neo4j running modes
          • Neo4j Server
          • An embedded database
            • Preparing the development environment
            • Creating an embedded database
            • Configuration
      • HR management tool an example
        • Creating nodes and relationships using the Java API
        • A querying database
          • Invoking Cypher from Java
          • Finding nodes by relationships
          • Filtering properties
          • Filtering relationships
          • Dealing with missing parts
          • Working with paths
          • Node IDs as starting points
        • Query parameters
          • Passing parameters with Java
      • Summary
    • 2. Filter, Aggregate, and Combine Results
      • Filtering
        • The book store an example
        • Text search
          • Working with regular expressions
          • Escaping the text
        • Value comparisons
          • The IN predicate
          • Boolean operators
        • Working with collections
        • Paging results LIMIT and SKIP
      • Sorting
        • A descending sort
        • Dealing with null values using the COALESCE function
      • Aggregating results
        • Counting matching rows or non-null values
        • Summation
        • Average
        • Maximum and minimum
        • Standard deviation
        • Collecting values in an array
        • Grouping keys
        • Conditional expressions
        • Separating query parts using WITH
      • The UNION statement
      • Summary
    • 3. Manipulating the Database
      • Using Neo4j Browser
      • Creating nodes and relationships
        • Labels and properties
          • Multiple labels
          • Properties
          • Creating multiple patterns
        • Creating relationships
          • Creating full paths
          • Creating relationships between existing nodes using read-and-write queries
      • Modifying existing data
        • Creating unique patterns
          • Complex patterns
        • Setting properties and labels
          • Cloning a node
          • Adding labels to nodes
        • Merging matched patterns
          • Idempotent queries
      • Deleting data
        • Removing labels
        • Removing properties
        • Deleting nodes and relations
        • Clearing the whole database
      • Loops
        • Working with collections
      • Summary
    • 4. Improving Performance
      • Performance issues
      • Best practices and recommendations
        • Using parameterized queries
          • Parameterized queries with the REST API
        • Reusing ExecutionEngine
        • Finding the optimum transaction size
        • Avoiding unnecessary clauses
        • Specifying the direction of relationships and variable length paths
      • Profiling queries
        • Profiling using the Java API
        • Inside the execution plan description
        • Profiling with Neo4j Shell
        • Profiling with the REST API
      • Indexes and constraints
        • SCAN hints
        • Index hints
        • Constraints
      • Summary
    • 5. Migrating from SQL
      • Our example
      • Migrating the schema
        • Labels
        • Indexes and constraints
        • Relationships
      • Migrating the data
        • Entities
        • Relationships
      • Migrating queries
        • CRUD
        • Searching queries
        • Grouping queries
      • Summary
    • A. Operators and Functions
      • Operators
        • Comparison operators
          • Ordering operators
          • Equality operators
          • NULL equality operators
        • Mathematical operators
        • The concatenation operator
        • The IN operator
        • Regular expressions
      • Functions
        • COALESCE
        • TIMESTAMP
        • ID
        • Working with nodes
          • NODES
          • LABELS
        • Working with paths and relationships
          • TYPE
          • ENDNODE and STARTNODE
          • SHORTESTPATH and ALLSHORTESTPATHS
          • RELATIONSHIPS
        • Working with collections
          • HEAD, TAIL, and LAST
          • LENGTH
          • EXTRACT
          • FILTER
          • REDUCE
          • RANGE
        • Working with strings
          • SUBSTRING, LEFT, and RIGHT
          • STR
          • REPLACE
          • Trimming functions
          • LOWER and UPPER
        • Aggregation functions
          • COUNT
          • SUM
          • AVG
          • PERCENTILEDISC and PERCENTILECONT
          • STDEV and STDEVP
          • MIN and MAX
        • Mathematical functions
    • Index
  • Назва: Learning Cypher. Write powerful and efficient queries for Neo4j with Cypher, its official query language
  • Автор: Onofrio Panzarino
  • Оригінальна назва: Learning Cypher. Write powerful and efficient queries for Neo4j with Cypher, its official query language
  • ISBN: 9781783287765, 9781783287765
  • Дата видання: 2014-05-14
  • Формат: Eлектронна книга
  • Ідентифікатор видання: e_3ch8
  • Видавець: Packt Publishing