• 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
        • List Functions
        • Map 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
        • Azure Blob Storage
        • Google Cloud Platform (GCP)
    • 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