Kyuubi session type SQL is refactored to INTERACTIVE, because Kyuubi supports not only SQL session, but also SCALA and PYTHON sessions. User need to use INTERACTIVE sessionType to look up the session event host and port. Deploy Mode One of the main advantages of the Kyuubi server compared to other interactive Spark clients is that it supports cluster deploy mode. It means that the Spark driver runs in an request, including metadata calls or queries, to the corresponding engine. Although it is still an interactive form, this model does allow for more practical batch processing jobs as well. When closing session

Kyuubi session type SQL is refactored to INTERACTIVE, because Kyuubi supports not only SQL session, but also SCALA and PYTHON sessions. User need to use INTERACTIVE sessionType to look up the session event host and port. Deploy Mode One of the main advantages of the Kyuubi server compared to other interactive Spark clients is that it supports cluster deploy mode. It is highly recommended to run Spark in request, including metadata calls or queries, to the corresponding engine. Although it is still an interactive form, this model does allow for more practical batch processing jobs as well. When closing session

Kyuubi session type SQL is refactored to INTERACTIVE, because Kyuubi supports not only SQL session, but also SCALA and PYTHON sessions. User need to use INTERACTIVE sessionType to look up the session event host and port. Deploy Mode One of the main advantages of the Kyuubi server compared to other interactive Spark clients is that it supports cluster deploy mode. It is highly recommended to run Spark in request, including metadata calls or queries, to the corresponding engine. Although it is still an interactive form, this model does allow for more practical batch processing jobs as well. When closing session

Kyuubi session type SQL is refactored to INTERACTIVE, because Kyuubi supports not only SQL session, but also SCALA and PYTHON sessions. User need to use INTERACTIVE sessionType to look up the session event host and port. Deploy Mode One of the main advantages of the Kyuubi server compared to other interactive Spark clients is that it supports cluster deploy mode. It is highly recommended to run Spark in request, including metadata calls or queries, to the corresponding engine. Although it is still an interactive form, this model does allow for more practical batch processing jobs as well. When closing session

Kyuubi session type SQL is refactored to INTERACTIVE, because Kyuubi supports not only SQL session, but also SCALA and PYTHON sessions. User need to use INTERACTIVE sessionType to look up the session event host and port. Deploy Mode One of the main advantages of the Kyuubi server compared to other interactive Spark clients is that it supports cluster deploy mode. It is highly recommended to run Spark in request, including metadata calls or queries, to the corresponding engine. Although it is still an interactive form, this model does allow for more practical batch processing jobs as well. When closing session

Kyuubi session type SQL is refactored to INTERACTIVE, because Kyuubi supports not only SQL session, but also SCALA and PYTHON sessions. User need to use INTERACTIVE sessionType to look up the session event request, including metadata calls or queries, to the corresponding engine. Although it is still an interactive form, this model does allow for more practical batch processing jobs as well. When closing session engines in different ways to handle their different workloads, such as large-scale ETL jobs and interactive ad hoc queries. The TTL Of Kyuubi Engines For a multi-tenant cluster, its overall resource utilization

Kyuubi session type SQL is refactored to INTERACTIVE, because Kyuubi supports not only SQL session, but also SCALA and PYTHON sessions. User need to use INTERACTIVE sessionType to look up the session event request, including metadata calls or queries, to the corresponding engine. Although it is still an interactive form, this model does allow for more practical batch processing jobs as well. When closing session engines in different ways to handle their different workloads, such as large-scale ETL jobs and interactive ad hoc queries. The TTL Of Kyuubi Engines For a multi-tenant cluster, its overall resource utilization

Kyuubi session type SQL is refactored to INTERACTIVE, because Kyuubi supports not only SQL session, but also SCALA and PYTHON sessions. User need to use INTERACTIVE sessionType to look up the session event request, including metadata calls or queries, to the corresponding engine. Although it is still an interactive form, this model does allow for more practical batch processing jobs as well. When closing session engines in different ways to handle their different workloads, such as large-scale ETL jobs and interactive ad hoc queries. The TTL Of Kyuubi Engines For a multi-tenant cluster, its overall resource utilization

Kyuubi session type SQL is refactored to INTERACTIVE, because Kyuubi supports not only SQL session, but also SCALA and PYTHON sessions. User need to use INTERACTIVE sessionType to look up the session event request, including metadata calls or queries, to the corresponding engine. Although it is still an interactive form, this model does allow for more practical batch processing jobs as well. When closing session engines in different ways to handle their different workloads, such as large-scale ETL jobs and interactive ad hoc queries. The TTL Of Kyuubi Engines For a multi-tenant cluster, its overall resource utilization

Kyuubi session type SQL is refactored to INTERACTIVE, because Kyuubi supports not only SQL session, but also SCALA and PYTHON sessions. User need to use INTERACTIVE sessionType to look up the session event request, including metadata calls or queries, to the corresponding engine. Although it is still an interactive form, this model does allow for more practical batch processing jobs as well. When closing session engines in different ways to handle their different workloads, such as large-scale ETL jobs and interactive ad hoc queries. The TTL Of Kyuubi Engines For a multi-tenant cluster, its overall resource utilization