What’s new in Apache Ozone 1.3 陈怡 Apache Ozone PMC 主席 3 ⽬录 I. Ozone 构架 II. Ozone 1.3 新功能 III. 未来展望 4 Ozone 构架 5 Ozone 1.3 新功能 I. 纠删码(Erasure coding) II. 系统均衡器(Container Balancer) III 0 100 200 300 400 Create Close Delete PutBlock GetBlock 0 0.2 380.2 14.4 14.7 20.9 20.9 1.3 214.6 356.8 V2/200 Concurrency V3/200Concurrency 8K vs 100K Container Ops Time(ms) (Lower is 400 Create Close Delete PutBlock GetBlock 0 0.2 380.2 14.4 14.7 0 0 88.2 14.6 14.4 20.9 20.9 1.3 214.6 356.8 0 0 3.1 144.4 254 V28K Container V2100K Container V38K Container V3100K Container

branch is created. The release branch pattern is branch-{MAJOR_VERSION}.{MINOR_VERSION}, e.g. branch-1.3. After cutting release branch, don’t forget bump version in master branch. Build a release candidate

interact with kyuubi quickly. 1. Getting Started with Kyuubi 1.1. Getting Kyuubi 1.2. Requirements 1.3. Installation 1.4. Running Kyuubi 1.5. Using Hive Beeline 1.6. Stopping Kyuubi 2. Getting Started with the Spark Datasource API, e.g. Delta Lake, Apache Hudi, Apache Iceberg, Apache Kudu and e.t.c… 1.3. Installation To install Kyuubi, you need to unpack the tarball. For example, tar zxf kyuubi-1.0 different platforms. Basics 1. Deploy Kyuubi engines on Yarn 1.1. Requirements 1.2. Configurations 1.3. Kerberos 2. Deploy Kyuubi engines on Kubernetes 2.1. Requirements 2.2. Configurations 3. Integration

branch is created. The release branch pattern is branch-{MAJOR_VERSION}.{MINOR_VERSION}, e.g. branch-1.3. After cutting release branch, don’t forget bump version in master branch. Build a release candidate

interact with kyuubi quickly. 1. Getting Started with Kyuubi 1.1. Getting Kyuubi 1.2. Requirements 1.3. Installation 1.4. Running Kyuubi 1.5. Using Hive Beeline 1.6. Stopping Kyuubi 2. Getting Started with the Spark Datasource API, e.g. Delta Lake, Apache Hudi, Apache Iceberg, Apache Kudu and e.t.c… 1.3. Installation To install Kyuubi, you need to unpack the tarball. For example, tar zxf kyuubi-1.0 different platforms. Basics 1. Deploy Kyuubi engines on Yarn 1.1. Requirements 1.2. Configurations 1.3. Kerberos 2. Deploy Kyuubi engines on Kubernetes 2.1. Requirements 2.2. Configurations 3. Integration

pandas . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3 1.3 Coming from... . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2681 5 Release notes 2683 5.1 Version 1.3 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2683 clean textual data and extract useful information from it. To introduction tutorial To user guide 1.3 Coming from. . . Are you familiar with other software for manipulating tablular data? Learn the pandas-equivalent

pandas . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3 1.3 Coming from... . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2760 5 Release notes 2761 5.1 Version 1.3 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2761 clean textual data and extract useful information from it. To introduction tutorial To user guide 1.3 Coming from... Are you familiar with other software for manipulating tablular data? Learn the pandas-equivalent

pandas . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3 1.3 Coming from... . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2760 5 Release notes 2761 5.1 Version 1.3 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2761 clean textual data and extract useful information from it. To introduction tutorial To user guide 1.3 Coming from... Are you familiar with other software for manipulating tablular data? Learn the pandas-equivalent

fast-check 90. Kotlin with Spring 91. Mockery 92. Netflix DGS 93. OpenTelemetry 94. Polars 95. Pushpin 96. Snowpark 评估 97. 基准配置文件 98. GGML 99. GPTCache 100. 语法性别 API 101. htmx 102. Kotlin Kover 103. LangChain fast-check 90. Kotlin with Spring 91. Mockery 92. Netflix DGS 93. OpenTelemetry 94. Polars 95. Pushpin 96. Snowpark 评估 97. 基准配置文件 98. GGML 99. GPTCache 100. 语法性别 API 101. htmx 102. Kotlin Kover 103. LangChain check 取得了不错的结果，归功于它良好的文档、易用性以及与现有测试框架的无缝集成，单元测试的效率得 到了明显提高。 90. Kotlin with Spring 试验 五年前，我们将 Kotlin 移至了采纳阶段，如今我们的许多团队报告称，Kotlin 不仅成为了他们在 JVM 语言上的 默认选择，而且已经几乎完全取代了 Java，成为他们编写软件的主要语言。与此同时，microservice