already exists. 1. Supports multi-client concurrency and authentication 2. Supports one Spark application per account(SPA). 3. Supports QUEUE/NAMESPACE Access Control Lists (ACL) 4. Supports metadata & rn/hadoop-yarn-site/YARN.html], Kubernetes (K8s) [https://kubernetes.io/] to create the Spark application; 2) a user account can only access data and metadata from a storage system, e.g. Apache Hadoop File System Optional referenced by Spark Hadoop Distributed File System is a part of Hadoop framework, used to store and process the datasets. You can interact with any Spark-compatible versions of

already exists. 1. Supports multi-client concurrency and authentication 2. Supports one Spark application per account(SPA). 3. Supports QUEUE/NAMESPACE Access Control Lists (ACL) 4. Supports metadata & rn/hadoop-yarn-site/YARN.html], Kubernetes (K8s) [https://kubernetes.io/] to create the Spark application; 2) a user account can only access data and metadata from a storage system, e.g. Apache Hadoop File System Optional referenced by Spark Hadoop Distributed File System is a part of Hadoop framework, used to store and process the datasets. You can interact with any Spark-compatible versions of

already exists. 1. Supports multi-client concurrency and authentication 2. Supports one Spark application per account(SPA). 3. Supports QUEUE/NAMESPACE Access Control Lists (ACL) 4. Supports metadata Control Lists, from cluster managers, e.g. Apache Hadoop YARN, Kubernetes (K8s) to create the Spark application; 2) a user account can only access data and metadata from a storage system, e.g. Apache Hadoop SQL engine application using kyuubi-spark-sql-engine-.jar. It will cost a while for the application to be ready before fully establishing the session. Otherwise, an existing application will be resued

already exists. 1. Supports multi-client concurrency and authentication 2. Supports one Spark application per account(SPA). 3. Supports QUEUE/NAMESPACE Access Control Lists (ACL) 4. Supports metadata Control Lists, from cluster managers, e.g. Apache Hadoop YARN, Kubernetes (K8s) to create the Spark application; 2) a user account can only access data and metadata from a storage system, e.g. Apache Hadoop SQL engine application using kyuubi-spark-sql-engine-.jar. It will cost a while for the application to be ready before fully establishing the session. Otherwise, an existing application will be resued

already exists. 1. Supports multi-client concurrency and authentication 2. Supports one Spark application per account(SPA). 3. Supports QUEUE/NAMESPACE Access Control Lists (ACL) 4. Supports metadata & rn/hadoop-yarn-site/YARN.html], Kubernetes (K8s) [https://kubernetes.io/] to create the Spark application; 2) a user account can only access data and metadata from a storage system, e.g. Apache Hadoop File System Optional referenced by Spark Hadoop Distributed File System is a part of Hadoop framework, used to store and process the datasets. You can interact with any Spark-compatible versions of

already exists. 1. Supports multi-client concurrency and authentication 2. Supports one Spark application per account(SPA). 3. Supports QUEUE/NAMESPACE Access Control Lists (ACL) 4. Supports metadata & rn/hadoop-yarn-site/YARN.html], Kubernetes (K8s) [https://kubernetes.io/] to create the Spark application; 2) a user account can only access data and metadata from a storage system, e.g. Apache Hadoop File System Optional referenced by Spark Hadoop Distributed File System is a part of Hadoop framework, used to store and process the datasets. You can interact with any Spark-compatible versions of

already exists. 1. Supports multi-client concurrency and authentication 2. Supports one Spark application per account(SPA). 3. Supports QUEUE/NAMESPACE Access Control Lists (ACL) 4. Supports metadata Control Lists, from cluster managers, e.g. Apache Hadoop YARN, Kubernetes (K8s) to create the Spark application; 2) a user account can only access data and metadata from a storage system, e.g. Apache Hadoop engine application using kyuubi-spark-sql-engine_2.12-. jar. It will cost awhile for the application to be ready before fully establishing the session. Otherwise, an existing application will be

already exists. 1. Supports multi-client concurrency and authentication 2. Supports one Spark application per account(SPA). 3. Supports QUEUE/NAMESPACE Access Control Lists (ACL) 4. Supports metadata Control Lists, from cluster managers, e.g. Apache Hadoop YARN, Kubernetes (K8s) to create the Spark application; 2) a user account can only access data and metadata from a storage system, e.g. Apache Hadoop engine application using kyuubi-spark-sql-engine_2.12-. jar. It will cost awhile for the application to be ready before fully establishing the session. Otherwise, an existing application will be

Release 1.7.3 Apache Kyuubi Community Sep 23, 2023 ADMIN GUIDE 1 A Unified Gateway 3 1.1 Application Programming Interface . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3 seamless data processing with any the Kyuubi engine they need. 1.1 Application Programming Interface End users can use the application programming interface listed below for connectivity and interoperation lays the foundation for us to achieve this goal: • State-of-the-art query engines • Multiple application for high throughput • Sharable execution runtime for low latency • Server-side global and continuous

Release 1.7.1 Apache Kyuubi Community Apr 28, 2023 ADMIN GUIDE 1 A Unified Gateway 3 1.1 Application Programming Interface . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3 seamless data processing with any the Kyuubi engine they need. 1.1 Application Programming Interface End users can use the application programming interface listed below for connectivity and interoperation lays the foundation for us to achieve this goal: • State-of-the-art query engines • Multiple application for high throughput • Sharable execution runtime for low latency • Server-side global and continuous