Spark applications work together • Quick response: long-running Spark applications without startup cost • Optimal execution plan: fully supports Spark SQL Catalyst Optimizer, 9 Kyuubi, Release 1.3.0 -.jar. It will cost a while for the application to be ready before fully establishing the session. Otherwise, an existing application will be resued, and the time cost here is negligible. Similarly 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 cluster compute resources

Spark applications work together • Quick response: long-running Spark applications without startup cost • Optimal execution plan: fully supports Spark SQL Catalyst Optimizer, 9 Kyuubi, Release 1.3.0 -.jar. It will cost a while for the application to be ready before fully establishing the session. Otherwise, an existing application will be resued, and the time cost here is negligible. Similarly 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 cluster compute resources

multiple Spark applications work together Quick response: long-running Spark applications without startup cost Optimal execution plan: fully supports Spark SQL Catalyst Optimizer, Authentication & Authorization 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, and the time cost here is negligible. Similarly 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 cluster compute resources

multiple Spark applications work together Quick response: long-running Spark applications without startup cost Optimal execution plan: fully supports Spark SQL Catalyst Optimizer, Authentication & Authorization 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, and the time cost here is negligible. Similarly 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 cluster compute resources

Spark applications work together • Quick response: long-running Spark applications without startup cost • Optimal execution plan: fully supports Spark SQL Catalyst Optimizer, 9 Kyuubi, Release 1.4.1-incubating 12-. jar. It will cost awhile for the application to be ready before fully establishing the session. Otherwise, an existing application will be reused, and the time cost here is negligible. Similarly 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 cluster compute resources

Spark applications work together • Quick response: long-running Spark applications without startup cost • Optimal execution plan: fully supports Spark SQL Catalyst Optimizer, 9 Kyuubi, Release 1.3.0 12-. jar. It will cost awhile for the application to be ready before fully establishing the session. Otherwise, an existing application will be reused, and the time cost here is negligible. Similarly 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 cluster compute resources

Spark applications work together • Quick response: long-running Spark applications without startup cost • Optimal execution plan: fully supports Spark SQL Catalyst Optimizer, 9 Kyuubi, Release 1.5.0-incubating 12-. jar. It will cost awhile for the application to be ready before fully establishing the session. Otherwise, an existing application will be reused, and the time cost here is negligible. Similarly • The time to wait for the resource to be allocated, such as the scheduling delay, the start/stop cost. – A longer time-to-live(TTL) for allocated resources can significantly reduce such time costs within

Spark applications work together • Quick response: long-running Spark applications without startup cost • Optimal execution plan: fully supports Spark SQL Catalyst Optimizer, 9 Kyuubi, Release 1.5.1-incubating 12-. jar. It will cost awhile for the application to be ready before fully establishing the session. Otherwise, an existing application will be reused, and the time cost here is negligible. Similarly • The time to wait for the resource to be allocated, such as the scheduling delay, the start/stop cost. – A longer time-to-live(TTL) for allocated resources can significantly reduce such time costs within

Spark applications work together • Quick response: long-running Spark applications without startup cost • Optimal execution plan: fully supports Spark SQL Catalyst Optimizer, 9 Kyuubi, Release 1.5.2-incubating 12-. jar. It will cost awhile for the application to be ready before fully establishing the session. Otherwise, an existing application will be reused, and the time cost here is negligible. Similarly • The time to wait for the resource to be allocated, such as the scheduling delay, the start/stop cost. – A longer time-to-live(TTL) for allocated resources can significantly reduce such time costs within

multiple Spark applications work together Quick response: long-running Spark applications without startup cost Optimal execution plan: fully supports Spark SQL Catalyst Optimizer, Authentication & Authorization 12-.jar. It will cost awhile for the application to be ready before fully establishing the session. Otherwise, an existing application will be reused, and the time cost here is negligible. Similarly 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 cluster compute resources