Container Platform 4.14 Operator 在 OpenShift Container Platform 中使用 Operator Last Updated: 2024-02-23 OpenShift Container Platform 4.14 Operator 在 OpenShift Container Platform 中使用 Operator 法律通告 法律通告 Copyright 本文档提供有关在 OpenShift Container Platform 中使用 Operator 的信息。文中为集群管理员提供 了 Operator 的安装和管理说明，为开发人员提供了如何通过所安装的 Operator 创建应用程序的信 息。另外还提供了一些使用 Operator SDK 构建自用 Operator 的指南。 . . . . . . . . . . . . . . . . . 目录 录 第 第 1 章 章 OPERATOR 概述 概述 1.1. 对于开发人员 1.2. 对于管理员 1.3. 后续步骤 第 第 2 章 章 了解 了解 OPERATOR 2.1. 什么是 OPERATOR? 2.2. OPERATOR FRAMEWORK 打包格式 2.3. OPERATOR FRAMEWORK 常用术语表 2.4. OPERATOR LIFECYCLE MANAGER

Node Operator: Kubernetes Node Management Made Simple 陈俊(Joe), Ant Financial Agenda • Background and Motivation • Introduction of Operators • Node-Operator • Advanced Topic: Topic: Kube-on-Kube-Operator • Achievement • Q&A Background: DC/OS From Sigma 2.0(Swarm) to Sigma 3.1(Kubernetes) Background: Cluster Scale • Production environment: • Dozens of Cluster • 5k+ Nodes / Cluster architecture Work order deployment system can not meet the requirements of resource management. Operator Observe Action Analyze • Observe: watch desired resource and actual resource • Analyze: difference

Operator Pattern：用 Go 扩展 K8s 的最佳实践 吴学强 ApeCloud KubeBlocks Maintainer & 研发总监 目 录 认识我们 00 什么是 Operator 01 Operator 基础模型 02 Operator 最佳实践 03 我们是谁 云猿生（ApeCloud）是一家提供数据库内核与管理平台的基 础软件开发商. KubeBlocks 从被收购到卷王（si） 回到初（qi）心（dian） KubeBlocks Maintainer & 研发总监 free6om 什么是 Operator 第一部分 Operator 前世今生 TPR Operator CRD Operator Pattern 2015.11 2016.12 2017.12 Now K8s 1.1 版本中正式推出 TPR （ThirdPartyResource），首次尝 K8s API 的扩展性问题， 但存在诸多问题，Alpha 阶段既 夭折 CoreOS 提出 Operator 概念，用 于管理和运行基于应用程序领 域的复杂有状态应用程序。 给出了用 TPR + controller- runtime 早期版本的 sample： etcd operator K8s 1.9 版本发布，CRD进入 beta 阶段并正式取代 TPR； controller-runtime

CS 591 K1: Data Stream Processing and Analytics Spring 2020 2/04: Streaming languages and operator semantics Vasiliki Kalavri | Boston University 2020 Vasiliki Kalavri | Boston University 2020 Kalavri | Boston University 2020 Streaming Operators 9 Vasiliki Kalavri | Boston University 2020 Operator types (I) • Single-Item Operators process stream elements one-by-one. • selection, filtering Consider events from stream S1 and stream S2 11 Vasiliki Kalavri | Boston University 2020 Operator types (II) • Sequence Operators capture the arrival of an ordered set of events. • common in

DateOffset(years=1) Out[68]: Timestamp('2016-10-09 20:59:45.919984') Changes to Index Comparisons Operator equal on Index should behavior similarly to Series (GH9947, GH10637) Starting in v0.17.0, comparing side is a DataFrame (GH11014) • Bug that returns None and does not raise NotImplementedError when operator functions (e.g. .add) of Panel are not implemented (GH7692) • Bug in line and kde plot cannot accept fixes along some new features (pipe() method), enhancements, and performance improvements. We recommend that all users upgrade to this version. Highlights include: • A new pipe method, see here • Documentation

for specifying categoricals . . . . . . . . . . . . . . . . . 11 1.2.1.7 GroupBy objects now have a pipe method . . . . . . . . . . . . . . . . . . . . . 12 1.2.1.8 Categorical.rename_categories accepts . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 199 1.13.1.1 Pipe . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 199 1.13.1.2 label-based slicing . . . . . . . . . . . . . . . . . . . . . . . . . . . 390 1.34.4 Changes to Series [] operator . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 391 1.34.5 Other API Changes

[45]: result Out[45]: [ A B C 0 1 1 2 [1 rows x 3 columns]] 1.1.7 New Styler.pipe() method The Styler class has gained a pipe() method. This provides a convenient way to apply users’ predefined styling '{:,}', 'X': '{:.1%}'}) ....: .set_properties(**{'text-align': 'right'})) ....: In [48]: df.style.pipe(format_and_align).set_caption('Summary of results.') Out[48]: Similar methods already exist for other classes in pandas, including DataFrame.pipe(), GroupBy.pipe(), and Resampler.pipe(). 1.1.8 Renaming names in a MultiIndex DataFrame.rename_axis() now supports

incompatible API changes 15 pandas: powerful Python data analysis toolkit, Release 0.25.0 The in operator (__contains__) now only returns True for exact matches to Intervals in the IntervalIndex, whereas MultiIndex (GH26944) • Bug in Categorical and CategoricalIndex with Interval values when using the in operator (__contains) with objects that are not comparable to the values in the Interval (GH23705) • Bug Categorical incorrectly raising ValueError instead of TypeError when a list is passed using the in operator (__contains__) (GH21729) • Bug in setting a new value in a Series with a Timedelta object incorrectly

incompatible API changes 15 pandas: powerful Python data analysis toolkit, Release 0.25.1 The in operator (__contains__) now only returns True for exact matches to Intervals in the IntervalIndex, whereas MultiIndex (GH26944) • Bug in Categorical and CategoricalIndex with Interval values when using the in operator (__contains) with objects that are not comparable to the values in the Interval (GH23705) • Bug Categorical incorrectly raising ValueError instead of TypeError when a list is passed using the in operator (__contains__) (GH21729) • Bug in setting a new value in a Series with a Timedelta object incorrectly

returning a Series when there was a column named sparse rather than the accessor (GH30758) • Fixed operator.xor() with a boolean-dtype SparseArray. Now returns a sparse result, rather than object dtype (GH31025) entire DataFrame or Series, row- or column-wise, or elementwise. 1. Tablewise Function Application: pipe() 2. Row or Column-wise Function Application: apply() 3. Aggregation API: agg() and transform() passed into functions. However, if the function needs to be called in a chain, consider using the pipe() method. First some setup: In [138]: def extract_city_name(df): .....: """ .....: Chicago, IL