analytics engine. Concurrent execution: multiple Spark applications work together Quick response: long-running Spark applications without startup cost Optimal execution plan: fully supports Spark SQL succeeded; numTasks: 1; Took: 13 msec 2021-10-28 13:56:27.663 INFO scheduler.StatsReportListener: task runtime:(count: 1, mean: 8.000000, stdev: 0.000000, max: 8.000000, min: 8.000000) 2021-10-28 13:56:27 B 0.0 B 0.0 B 0.0 B 0.0 B 0.0 B 0.0 B 2021-10-28 13:56:27.668 INFO scheduler.StatsReportListener: task result size:(count: 1, mean: 1402.000000, stdev: 0.000000, max: 1402.000000, min: 1402.000000) 2021-10-28

analytics engine. Concurrent execution: multiple Spark applications work together Quick response: long-running Spark applications without startup cost Optimal execution plan: fully supports Spark SQL succeeded; numTasks: 1; Took: 13 msec 2021-10-28 13:56:27.663 INFO scheduler.StatsReportListener: task runtime:(count: 1, mean: 8.000000, stdev: 0.000000, max: 8.000000, min: 8.000000) 2021-10-28 13:56:27 B 0.0 B 0.0 B 0.0 B 0.0 B 0.0 B 0.0 B 2021-10-28 13:56:27.668 INFO scheduler.StatsReportListener: task result size:(count: 1, mean: 1402.000000, stdev: 0.000000, max: 1402.000000, min: 1402.000000) 2021-10-28

analytics engine. Concurrent execution: multiple Spark applications work together Quick response: long-running Spark applications without startup cost Optimal execution plan: fully supports Spark SQL succeeded; numTasks: 1; Took: 13 msec 2021-10-28 13:56:27.663 INFO scheduler.StatsReportListener: task runtime:(count: 1, mean: 8.000000, stdev: 0.000000, max: 8.000000, min: 8.000000) 2021-10-28 13:56:27 B 0.0 B 0.0 B 0.0 B 0.0 B 0.0 B 0.0 B 2021-10-28 13:56:27.668 INFO scheduler.StatsReportListener: task result size:(count: 1, mean: 1402.000000, stdev: 0.000000, max: 1402.000000, min: 1402.000000) 2021-10-28

analytics engine. Concurrent execution: multiple Spark applications work together Quick response: long-running Spark applications without startup cost Optimal execution plan: fully supports Spark SQL succeeded; numTasks: 1; Took: 13 msec 2021-10-28 13:56:27.663 INFO scheduler.StatsReportListener: task runtime:(count: 1, mean: 8.000000, stdev: 0.000000, max: 8.000000, min: 8.000000) 2021-10-28 13:56:27 B 0.0 B 0.0 B 0.0 B 0.0 B 0.0 B 0.0 B 2021-10-28 13:56:27.668 INFO scheduler.StatsReportListener: task result size:(count: 1, mean: 1402.000000, stdev: 0.000000, max: 1402.000000, min: 1402.000000) 2021-10-28

analytics engine. Concurrent execution: multiple Spark applications work together Quick response: long-running Spark applications without startup cost Optimal execution plan: fully supports Spark SQL succeeded; numTasks: 1; Took: 13 msec 2021-10-28 13:56:27.663 INFO scheduler.StatsReportListener: task runtime:(count: 1, mean: 8.000000, stdev: 0.000000, max: 8.000000, min: 8.000000) 2021-10-28 13:56:27 B 0.0 B 0.0 B 0.0 B 0.0 B 0.0 B 0.0 B 2021-10-28 13:56:27.668 INFO scheduler.StatsReportListener: task result size:(count: 1, mean: 1402.000000, stdev: 0.000000, max: 1402.000000, min: 1402.000000) 2021-10-28

analytics engine. Concurrent execution: multiple Spark applications work together Quick response: long-running Spark applications without startup cost Optimal execution plan: fully supports Spark SQL succeeded; numTasks: 1; Took: 13 msec 2021-10-28 13:56:27.663 INFO scheduler.StatsReportListener: task runtime:(count: 1, mean: 8.000000, stdev: 0.000000, max: 8.000000, min: 8.000000) 2021-10-28 13:56:27 B 0.0 B 0.0 B 0.0 B 0.0 B 0.0 B 0.0 B 2021-10-28 13:56:27.668 INFO scheduler.StatsReportListener: task result size:(count: 1, mean: 1402.000000, stdev: 0.000000, max: 1402.000000, min: 1402.000000) 2021-10-28

analytics engine. Concurrent execution: multiple Spark applications work together Quick response: long-running Spark applications without startup cost Optimal execution plan: fully supports Spark SQL succeeded; numTasks: 1; Took: 13 msec 2021-10-28 13:56:27.663 INFO scheduler.StatsReportListener: task runtime:(count: 1, mean: 8.000000, stdev: 0.000000, max: 8.000000, min: 8.000000) 2021-10-28 13:56:27 B 0.0 B 0.0 B 0.0 B 0.0 B 0.0 B 0.0 B 2021-10-28 13:56:27.668 INFO scheduler.StatsReportListener: task result size:(count: 1, mean: 1402.000000, stdev: 0.000000, max: 1402.000000, min: 1402.000000) 2021-10-28

to set up PyFlink development environment in your local machine. This is usually used for local execution or development in an IDE. Set up Python environment It requires Python 3.6 or above with PyFlink given Python virtual environment at client side (for job compiling) and server side (for Python UDF execution) separately. 1.1. Getting Started 7 pyflink-docs, Release release-1.15 • Specify the Python virtual cluster nodes during job execution. It should be noted that option -pyexec is also required to specify the Python virtual environment to use at server side (for Python UDF execution). For the Python virtual

to set up PyFlink development environment in your local machine. This is usually used for local execution or development in an IDE. Set up Python environment It requires Python 3.6 or above with PyFlink given Python virtual environment at client side (for job compiling) and server side (for Python UDF execution) separately. 1.1. Getting Started 7 pyflink-docs, Release release-1.16 • Specify the Python virtual cluster nodes during job execution. It should be noted that option -pyexec is also required to specify the Python virtual environment to use at server side (for Python UDF execution). For the Python virtual

analytics engine. Concurrent execution: multiple Spark applications work together Quick response: long-running Spark applications without startup cost Optimal execution plan: fully supports Spark SQL How To Use Spark Dynamic Resource Allocation (DRA) in Kyuubi 2.2. How To Use Spark Adaptive Query Execution (AQE) in Kyuubi 1. Deploy Kyuubi engines on Yarn 1.1. Requirements When you want to deploy Kyuubi’s principal should not use now. Instead, you can schedule a periodically kinit process via crontab task on the local machine that hosts Kyuubi server or simply use Kyuubi Kinit 2. Deploy Kyuubi engines