Apache Beam: Difference between revisions

Latest revision as of 18:12, 19 July 2022

Apache Beam is a library for building parallel data pipelines.
Such pipelines are executed on a runner such as Apache Flink. Apache Beam is originally developed by Google.

Usage

Programming guide, examples in Python.

Background

Data are referred to as PCollection

Create

Map

ParDo

Pardo allows you to pass in a function and generate multiple items.
If you are yielding many items though, you should do a beam.Reshuffle() afterwards to split and get more parallelism.

GroupByKey

Administration

How to setup Apache Beam running on Flick and Kubernetes.

@@ Line 1: / Line 1: @@
 [https://beam.apache.org/ Apache Beam] is a library for building parallel data pipelines.<br>
-Such pipelines are executed on a runner such as Apache Spark. Apache Beam is originally developed by Google.
+Such pipelines are executed on a runner such as Apache Flink. Apache Beam is originally developed by Google.
 ==Usage==
@@ Line 11: / Line 11: @@
 Pardo allows you to pass in a function and generate multiple items.<br>
 If you are yielding many items though, you should do a <code>beam.Reshuffle()</code> afterwards to split and get more parallelism.
+===GroupByKey===
+==Administration==
+How to setup Apache Beam running on Flick and Kubernetes.
+===Resources===
+* [https://github.com/GoogleCloudPlatform/flink-on-k8s-operator/blob/master/docs/beam_guide.md Apache Beam Python Jobs with Flicker K8s operator]
+** [https://github.com/GoogleCloudPlatform/flink-on-k8s-operator/tree/master/examples/beam/with_job_server flink on k8s yaml]
+* [https://python.plainenglish.io/apache-beam-flink-cluster-kubernetes-python-a1965f37b7cb Beam+Flink+Kubernetes+Python]
+* [https://nightlies.apache.org/flink/flink-docs-master/docs/deployment/resource-providers/native_kubernetes/#getting-started Flink on native kubernetes]