operate with Kyuubi server concurrently. The SPA policy makes sure 1) a user account can only get computing resource with managed ACLs, e.g. Queue Access Control Lists, from cluster managers, e.g. Apache long-running for a period, execute user’s queries from clients aperiodically, and the demand for computing resources is not the same for those queries. It is better for Spark to release some executors when Kyuubi When we adopt Kyuubi in a production environment, we always want to use the environment’s computing resources more cost-effectively and efficiently. Cluster managers such as K8S and Yarn manage the

operate with Kyuubi server concurrently. The SPA policy makes sure 1) a user account can only get computing resource with managed ACLs, e.g. Queue Access Control Lists, from cluster managers, e.g. Apache long-running for a period, execute user’s queries from clients aperiodically, and the demand for computing resources is not the same for those queries. It is better for Spark to release some executors when Kyuubi When we adopt Kyuubi in a production environment, we always want to use the environment’s computing resources more cost-effectively and efficiently. Cluster managers such as K8S and Yarn manage the

and Lake- houses. Kyuubi builds distributed SQL query engines on top of various kinds of modern computing frameworks, e.g., Apache Spark, Flink, Doris, Hive, and Trino, etc, to query massive datasets distributed prospective users into end users and administrators. On the one hand, it hides the technical details of computing and storage from the end users. Thus, they can focus on their business and data with familiar tools capability across diverse data sources. • High performance on large volumes of data with scalable computing resources. Besides, Kyuubi also supports submissions of code snippets and self-contained applications

and Lake- houses. Kyuubi builds distributed SQL query engines on top of various kinds of modern computing frameworks, e.g., Apache Spark, Flink, Doris, Hive, and Trino, etc, to query massive datasets distributed prospective users into end users and administrators. On the one hand, it hides the technical details of computing and storage from the end users. Thus, they can focus on their business and data with familiar tools capability across diverse data sources. • High performance on large volumes of data with scalable computing resources. Besides, Kyuubi also supports submissions of code snippets and self-contained applications

and Lake- houses. Kyuubi builds distributed SQL query engines on top of various kinds of modern computing frameworks, e.g., Apache Spark, Flink, Doris, Hive, and Trino, etc, to query massive datasets distributed prospective users into end users and administrators. On the one hand, it hides the technical details of computing and storage from the end users. Thus, they can focus on their business and data with familiar tools capability across diverse data sources. • High performance on large volumes of data with scalable computing resources. Besides, Kyuubi also supports submissions of code snippets and self-contained applications

and Lake- houses. Kyuubi builds distributed SQL query engines on top of various kinds of modern computing frameworks, e.g., Apache Spark, Flink, Doris, Hive, and Trino, etc, to query massive datasets distributed prospective users into end users and administrators. On the one hand, it hides the technical details of computing and storage from the end users. Thus, they can focus on their business and data with familiar tools capability across diverse data sources. • High performance on large volumes of data with scalable computing resources. Besides, Kyuubi also supports submissions of code snippets and self-contained applications

and Lake- houses. Kyuubi builds distributed SQL query engines on top of various kinds of modern computing frameworks, e.g., Apache Spark, Flink, Doris, Hive, and Trino, etc, to query massive datasets distributed prospective users into end users and administrators. On the one hand, it hides the technical details of computing and storage from the end users. Thus, they can focus on their business and data with familiar tools capability across diverse data sources. • High performance on large volumes of data with scalable computing resources. Besides, Kyuubi also supports submissions of code snippets and self-contained applications

and Lake- houses. Kyuubi builds distributed SQL query engines on top of various kinds of modern computing frameworks, e.g., Apache Spark, Flink, Doris, Hive, and Trino, etc, to query massive datasets distributed prospective users into end users and administrators. On the one hand, it hides the technical details of computing and storage from the end users. Thus, they can focus on their business and data with familiar tools capability across diverse data sources. • High performance on large volumes of data with scalable computing resources. Besides, Kyuubi also supports submissions of code snippets and self-contained applications

and Lake- houses. Kyuubi builds distributed SQL query engines on top of various kinds of modern computing frameworks, e.g., Apache Spark, Flink, Doris, Hive, and Trino, etc, to query massive datasets distributed prospective users into end users and administrators. On the one hand, it hides the technical details of computing and storage from the end users. Thus, they can focus on their business and data with familiar tools capability across diverse data sources. • High performance on large volumes of data with scalable computing resources. Besides, Kyuubi also supports submissions of code snippets and self-contained applications

and Lake- houses. Kyuubi builds distributed SQL query engines on top of various kinds of modern computing frameworks, e.g., Apache Spark, Flink, Doris, Hive, and Trino, etc, to query massive datasets distributed prospective users into end users and administrators. On the one hand, it hides the technical details of computing and storage from the end users. Thus, they can focus on their business and data with familiar tools capability across diverse data sources. • High performance on large volumes of data with scalable computing resources. Besides, Kyuubi also supports submissions of code snippets and self-contained applications