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Developing
Develop stream applications with the Streams Processing Language (SPL), Java, and Python.
Developing toolkits and operators
You can create custom toolkits and operators for your applications.
Developing operators
You can develop many stream applications with only the operators available in the SPL standard toolkit or in the specialized toolkits. If these toolkits do not provide all of the function you need to implement your application, you can develop new operators as required.
Types of operators
When developing new operators, developers need to choose the kind of operator to implement based on the task they want to accomplish, the programming language they want to use and the trade-offs they are willing to make between generality and ease of implementation.
Operators implemented in a native language
Operators that are implemented in a native language are called primitive operators. The native language options for implementing operators in SPL are C++ and Java™.

Welcome
Learn about the core capabilities of Teracloud® Streams, its architecture, and key concepts.
Installing
Use this information to install, upgrade, and uninstall the Teracloud® Streams product.
Configuring
Create a basic or an enterprise domain which is a single point for configuring and managing common resources, security, and instances.
Administering
Administer the product by using the Teracloud® Streams graphical user interface, APIs, or the streamtool command-line interface.
Developing
Develop stream applications with the Streams Processing Language (SPL), Java, and Python.
- Development concepts
  Development of stream applications consists of several components such as operators, streams, tuples, Streams Processing Language, toolkits, and more.
- Writing stream applications
  Teracloud® Streams provides features and functions to help you write your applications to fulfill your business needs.
- Enabling Streams data exchange
  Teracloud® Streams provides a data exchange REST API for inserting and retrieving Streams job data. You can add one or more endpoint operators to your Streams application to enable Streams data exchange. Providing a standard REST interface for Streams data exchange eases the integration of Streams data with other data services and externally hosted applications.
- Compiling stream applications
  The Streams Processing Language (SPL) Compiler is called sc and is included with the Teracloud® Streams installation package. You compile SPL to create files to run on your Teracloud Streams instance.
- Performance improvements for stream applications
  You can improve the processing of your stream application by following these guidelines and tips.
- Debugging stream applications
  The Streams Processing Language (SPL) Streams Debugger (sdb) provides a command line-based interactive debugger for debugging stream applications.
- Developing toolkits and operators
  You can create custom toolkits and operators for your applications.
  - Developing toolkits
    Toolkits contain the building blocks for stream applications. In addition, you can add specialized toolkits or create your own toolkits.
  - Developing operators
    You can develop many stream applications with only the operators available in the SPL standard toolkit or in the specialized toolkits. If these toolkits do not provide all of the function you need to implement your application, you can develop new operators as required.
    - Types of operators
      When developing new operators, developers need to choose the kind of operator to implement based on the task they want to accomplish, the programming language they want to use and the trade-offs they are willing to make between generality and ease of implementation.
      - Operators implemented in SPL
        Custom operators provide an easy way to implement custom logic without leaving SPL. Composite operators provide a convenient way to group related operators.
      - Operators implemented in a native language
        Operators that are implemented in a native language are called primitive operators. The native language options for implementing operators in SPL are C++ and Java™.
        Operators implemented in C++
        There are two types of C++ primitive operators: Non-generic and generic. Non-generic operators are written entirely in C++, and generic operators use a mixed-mode templating system.
        Operators implemented in Java™
        SPL offers two approaches for implementing operators in Java™, Java primitive operators and the JavaOp operator.
        Operators implemented in Python
        SPL offers two approaches for implementing operators in Python, Python primitive operators and the PythonOp operator.
    - Developing primitive operators
      You develop new primitive operators by implementing them in the C++ or Java™ language. You must define an operator model that describes the syntax and semantics of the operator and implement the operator logic by creating the header and implementation code generator templates.
    - Creating C++ libraries for operators and native functions
      To enable operators and native functions, you must compile with the appropriate include file paths and options and link any shared libraries against the correct runtime libraries.
    - Fusing multiple Java™ operators into a single PE
      If multiple Java™ primitive operators and JavaOp operator invocations have compatible vmArg parameter lists, you can fuse them together into a single processing element (PE) or run them in stand-alone mode.
Troubleshooting
Resolve problems with Teracloud® Streams using the troubleshooting tools provided with the product as well as the resources offered by Teracloud Support.
Reference
Find details on the SPL language, toolkits, APIs, commands, and more.
Glossary
Use this glossary to find terms and definitions for Teracloud® Streams.

Operators implemented in a native language

Operators that are implemented in a native language are called primitive operators. The native language options for implementing operators in SPL are C++ and Java™.

Both Custom operators and composites are defined entirely in Streams Processing Language (SPL). The reasons that developers might choose to implement primitive operators include performance, genericity, and easy access to functions and data structures that exist outside of SPL code. Because primitives are defined outside of SPL, developers must also define an operator model that describes the syntactic and semantic properties of the operator. The operator model is necessary because the SPL compiler cannot infer such properties from the native code.