Apache Beam is an open source, unified model and set of language-specific SDKs for defining and executing data processing workflows, and also data ingestion and integration flows, supporting Enterprise Integration Patterns (EIPs) and Domain Specific Languages (DSLs). Dataflow pipelines simplify the mechanics of large-scale batch and streaming data processing and can run on a number of runtimes like Apache Flink, Apache Spark, and Google Cloud Dataflow (a cloud service). Beam also brings DSL in different languages, allowing users to easily implement their data integration processes.

The 16-bit unsigned integer type.

A thread-safe reference-counting pointer. ‘Arc’ stands for ‘Atomically Reference Counted’.

The let declaration declares re-assignable, block-scoped local variables, optionally initializing each to a value.

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The dx attribute indicates a shift along the x-axis on the position of an element or its content.

The yield* operator can be used within generator (sync or async) functions to delegate to another iterable object, such as a Generator. Inside async generator functions, it can additionally be used to delegate to another async iterable object, such as an AsyncGenerator.

The `Default` trait for types with a default value.

The href attribute defines a link to a resource as a reference URL. The exact meaning of that link depends on the context of each element using it.

Interfaces for working with Errors.