• Concepts to Know
•  Introduction to DataFlow
  • Overview
  • Performance and Scalability
  •  Concurrency and Parallelism
    • Data Parallelism
    • Task Parallelism
    • Pipeline Parallelism
  • Dataflow
•  Data Security Model
  •  File Systems
    • Hadoop
    • Encryption
    • Temporary Storage
  • Databases
  • Networks
•  Application Model
  • Applications in DataFlow
  • Graphs
  • Operators
  •  Ports
    • External Ports
•  Execution Modes
  • Overview
  • Local Mode
  •  Distributed Mode
    • Cluster Manager
    • Node Manager
    • Executor
    • Graph Client
  •  Example: Data Processing in DataFlow
    • Example
    •  Query
      • Corresponding Physical Graphs (Distributed)
      • Corresponding Physical Graphs (Pseudo-distributed)
    •  Distributed Execution
      • Phase One Processing
      • Output of FilterRows
      • Output of DeriveFields
      • Output of Group(partial)
      • Phase Two Processing
      • Pipelining within Phases
•  Functions
  • Operators as Functions
  •  ScalarValuedFunction
    • Composing Functions
    •  Evaluating Functions
      • Validating a Function
      • Binding an Evaluator
•  Expression Language
  •  DataFlow Core Expression Language
    •  Basic Syntax
      • Field References
      • Literals
      • Numeric Literals
      • String Literals
      • Null Values
      • Predicate Operators
      • Arithmetic Operators
      • Conditional Operators
      • Parentheses
    •  Core DataFlow Functions
      • Constant Value Functions
      • Conversion Functions
      • Date and Time Functions
      • Formatting Functions
      • Math Functions
      • Statistics Functions
      • String Functions
    • Matching Functions
    • Aggregate Functions
  • Extending the Expression Language
•  Tokens and Types
  • Overview
  •  Scalar Token Types
    • Object Token Types
    • Numeric Token Types
    • Date, Time, and Interval Token Types
  •  Record Token Types
    • Defining Record Types
  • Token Types and Related Java Types
  •  Token Containers
    • TokenValued Hierarchy
    • TokenSettable Hierarchy
    • Concrete Implementations
    • Big Picture
  •  Token Type Compatibility
    • Compatibility Based on Token Type Hierarchy
    •  Type Conversions for Token Values
      • Conversions to Objects
      • Conversion to String Form for Debugging
  •  Comparing Token Values
    • Equality and Ordering of Null
    • Comparing Number Types
•  Input/Output
  •  File Access
    • File Systems
    •  Paths
      • File Patterns
    • File Client
  •  Parallel Inout/Output
    •  Reading in Parallel
      • Compressed Files
    • Writing in Parallel
•  Formats and Schemas
  •  Formats
    • Format Discovery
  •  Schemas
    •  External Types
      • Null Indicators
      • String Conversion Behavior
    •  Schema Construction
      • Schema Defaults
    • Schema Discovery
•  YARN on Hadoop Cluster
  • YARN Concepts
  • DataFlow Cluster Manager
•  Supported Files, Formats, and Text Types
  •  Supported Files and Formats
    •  Supported Compression Formats
      • gzip
      • bzip2
      • snappy
    •  Supported File Systems
      • Local Files
      • Process Streams
      • Hadoop Distributed File System (HDFS)
      • Amazon S3
      • FTP, FTPS, or SFTP
  •  Supported Text Types
    • String Types
    • Number Types
    • Date, Time, and Interval Types
    • Boolean Types
    • IP Types
    • Enumeration Types
    • Binary Types
    • Character Types

Concepts to Know

Character Types