interface for large-scale data processing and analytics, built on top of Apache Spark™. In general, the complete ecosystem of Kyuubi falls into the hierarchies shown in the above figure, with each layer loosely (continued from previous page) 2021-01-16 03:27:35.492 INFO zookeeper.ClientCnxn: Session establishment complete on␣ ˓→server 127.0.0.1/127.0.0.1:2181, sessionid = 0x177078469840000, negotiated timeout =␣ ˓→60000 which consume many computing resources to process, while others may require very few resources to complete. If we have fixed-sized engines, a.k.a. with a fixed number for spark.executor. instances, it may

interface for large-scale data processing and analytics, built on top of Apache Spark™. In general, the complete ecosystem of Kyuubi falls into the hierarchies shown in the above figure, with each layer loosely (continued from previous page) 2021-01-16 03:27:35.492 INFO zookeeper.ClientCnxn: Session establishment complete on␣ ˓→server 127.0.0.1/127.0.0.1:2181, sessionid = 0x177078469840000, negotiated timeout =␣ ˓→60000 which consume many computing resources to process, while others may require very few resources to complete. If we have fixed-sized engines, a.k.a. with a fixed number for spark.executor. instances, it may

interface for large-scale data processing and analytics, built on top of Apache Spark™. In general, the complete ecosystem of Kyuubi falls into the hierarchies shown in the above figure, with each layer loosely (continued from previous page) 2021-01-16 03:27:35.492 INFO zookeeper.ClientCnxn: Session establishment complete on␣ ˓→server 127.0.0.1/127.0.0.1:2181, sessionid = 0x177078469840000, negotiated timeout =␣ ˓→60000 which consume many computing resources to process, while others may require very few resources to complete. If we have fixed-sized engines, a.k.a. with a fixed number for spark.executor. instances, it may

processing and analytics, built on top of Apache Spark™ [http://spark.apache.org/]. In general, the complete ecosystem of Kyuubi falls into the hierarchies shown in the above figure, with each layer loosely client /127.0.0.1:65320 2021-01-16 03:27:35.492 INFO zookeeper.ClientCnxn: Session establishment complete on server 127.0.0.1/127.0.0.1:2181, sessionid = 0x177078469840000, negotiated timeout = 60000 2021-01-16 which consume many computing resources to process, while others may require very few resources to complete. If we have fixed-sized engines, a.k.a. with a fixed number for spark.executor.instances, it may

processing and analytics, built on top of Apache Spark™ [http://spark.apache.org/]. In general, the complete ecosystem of Kyuubi falls into the hierarchies shown in the above figure, with each layer loosely client /127.0.0.1:65320 2021-01-16 03:27:35.492 INFO zookeeper.ClientCnxn: Session establishment complete on server 127.0.0.1/127.0.0.1:2181, sessionid = 0x177078469840000, negotiated timeout = 60000 2021-01-16 which consume many computing resources to process, while others may require very few resources to complete. If we have fixed-sized engines, a.k.a. with a fixed number for spark.executor.instances, it may

processing and analytics, built on top of Apache Spark™ [http://spark.apache.org/]. In general, the complete ecosystem of Kyuubi falls into the hierarchies shown in the above figure, with each layer loosely client /127.0.0.1:65320 2021-01-16 03:27:35.492 INFO zookeeper.ClientCnxn: Session establishment complete on server 127.0.0.1/127.0.0.1:2181, sessionid = 0x177078469840000, negotiated timeout = 60000 2021-01-16 which consume many computing resources to process, while others may require very few resources to complete. If we have fixed-sized engines, a.k.a. with a fixed number for spark.executor.instances, it may

interface for large-scale data processing and analytics, built on top of Apache Spark™. In general, the complete ecosystem of Kyuubi falls into the hierarchies shown in the above figure, with each layer loosely client /127.0.0.1:65320 2021-01-16 03:27:35.492 INFO zookeeper.ClientCnxn: Session establishment complete on ˓→server 127.0.0.1/127.0.0.1:2181, sessionid = 0x177078469840000, negotiated timeout ˓→= 60000 which consume many computing resources to process, while others may require very few resources to complete. If we have fixed-sized engines, a.k.a. with a fixed number for spark. executor.instances, it may

interface for large-scale data processing and analytics, built on top of Apache Spark™. In general, the complete ecosystem of Kyuubi falls into the hierarchies shown in the above figure, with each layer loosely client /127.0.0.1:65320 2021-01-16 03:27:35.492 INFO zookeeper.ClientCnxn: Session establishment complete on ˓→server 127.0.0.1/127.0.0.1:2181, sessionid = 0x177078469840000, negotiated timeout ˓→= 60000 which consume many computing resources to process, while others may require very few resources to complete. If we have fixed-sized engines, a.k.a. with a fixed number for spark. executor.instances, it may

interface for large-scale data processing and analytics, built on top of Apache Spark™. In general, the complete ecosystem of Kyuubi falls into the hierarchies shown in the above figure, with each layer loosely client /127.0.0.1:65320 2021-01-16 03:27:35.492 INFO zookeeper.ClientCnxn: Session establishment complete on ˓→server 127.0.0.1/127.0.0.1:2181, sessionid = 0x177078469840000, negotiated timeout ˓→= 60000 which consume many computing resources to process, while others may require very few resources to complete. If we have fixed-sized engines, a.k.a. with a fixed number for spark. executor.instances, it may

interface for large-scale data processing and analytics, built on top of Apache Spark™. In general, the complete ecosystem of Kyuubi falls into the hierarchies shown in the above figure, with each layer loosely client /127.0.0.1:65320 2021-01-16 03:27:35.492 INFO zookeeper.ClientCnxn: Session establishment complete on ˓→server 127.0.0.1/127.0.0.1:2181, sessionid = 0x177078469840000, negotiated timeout ˓→= 60000 which consume many computing resources to process, while others may require very few resources to complete. If we have fixed-sized engines, a.k.a. with a fixed number for spark. executor.instances, it may