IBM Streams Python support¶
Python APIs for use with IBM® Streaming Analytics service on IBM Cloud and on-premises IBM Streams.
Python Application API for Streams¶
Module that allows the definition and execution of streaming applications implemented in Python. Applications use Python code to process tuples and tuples are Python objects.
SPL operators may also be invoked from Python applications to allow use of existing IBM Streams toolkits.
See topology
Python application support for IBM Streams. |
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Streaming application definition. |
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Context for submission and build of topologies. |
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Schemas for streams. |
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Application state. |
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Composite transformations. |
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Testing support for streaming applications. |
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Runtime tester functionality. |
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Access to the IBM Streams execution context. |
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Streams Jobs as a Cloud Pak for Data Service |
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Integration of SPL operators. |
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SPL type definitions. |
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SPL toolkit integration. |
SPL primitive Python operators¶
SPL primitive Python operators provide the ability to perform tuple processing using Python in an SPL application.
A Python function or class is simply turned into an SPL primitive operator through provided decorators.
SPL (Streams Processing Language) is a domain specific language for streaming analytics supported by Streams.
SPL Python primitive operators. |
Streams Python REST API¶
Module that allows interaction with an running Streams instance or service through HTTPS REST APIs.
REST API bindings for IBM® Streams Cloud Pak for Data build service. |
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REST API bindings for IBM® Streams & Streaming Analytics service. |
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Primitive objects for REST bindings. |
Scripts¶
The streamsx package provides a number of command line scripts.