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Learning cypher : write powerful and efficient queries for Neo4j with Cypher its official query language /

Chapter 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;...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Panzarino, Onofrio
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Birmingham, U.K. : Packt Pub., 2014.
Colección:Community experience distilled.
Temas:
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)

MARC

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050 4 |a QA76.9.D32  |b P369 2014 
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049 |a UAMI 
100 1 |a Panzarino, Onofrio. 
245 1 0 |a Learning cypher :  |b write powerful and efficient queries for Neo4j with Cypher its official query language /  |c Onofrio Panzarino. 
260 |a Birmingham, U.K. :  |b Packt Pub.,  |c 2014. 
300 |a 1 online resource (1 volume) :  |b illustrations 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
347 |a text file 
490 1 |a Community experience distilled 
588 0 |a Online resource; title from cover (Safari, viewed June 09, 2014). 
500 |a Includes index. 
505 0 |a Cover; Copyright; Credits; About the Author; About the Reviewers; www.PacktPub.com; Table of Contents; Preface; Chapter 1: Querying Neo4j Effectively with Pattern Matching; Setting up a new Neo4j database; Neo4j running modes; Neo4j Server; An embedded database; 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 
505 8 |a The UNION statementSummary; Chapter 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 
505 8 |a Clearing the whole databaseLoops; Working with collections; Summary; Chapter 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 
520 |a Chapter 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 
520 |a Chapter 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; Appendix: 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 
520 |a An easy-to-follow guide full of tips and examples of real-world applications. In each chapter, a thorough example will show you the concepts in action, followed by a detailed explanation. This book is intended for those who want to learn how to create, query, and maintain a graph database, or who want to migrate to a graph database from SQL. It would be helpful to have some familiarity with Java and/or SQL, but no prior experience is required. 
546 |a English. 
590 |a O'Reilly  |b O'Reilly Online Learning: Academic/Public Library Edition 
650 0 |a Non-relational databases. 
650 0 |a Databases  |x Development. 
650 0 |a Database design. 
650 0 |a Databases  |x Programming. 
650 0 |a Query languages (Computer science) 
650 6 |a Bases de données non relationnelles. 
650 6 |a Bases de données  |x Conception. 
650 6 |a Langages d'interrogation. 
650 7 |a COMPUTERS  |x Data Processing.  |2 bisacsh 
650 7 |a COMPUTERS  |x Programming  |x Open Source.  |2 bisacsh 
650 7 |a COMPUTERS  |x Programming Languages  |x SQL.  |2 bisacsh 
650 7 |a Database design.  |2 fast  |0 (OCoLC)fst00888032 
650 7 |a Non-relational databases.  |2 fast  |0 (OCoLC)fst01896579 
650 7 |a Query languages (Computer science)  |2 fast  |0 (OCoLC)fst01085675 
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