yaml to specify replicaCount and resources: replicaCount: 1 resources: requests: cpu: 2 memory: 4Gi limits: cpu: 4 memory: 10Gi and use it to override default chart values with -f flag: helm install but with small tasks, the default behavior can waste many resources due to executor allocation overhead, as some executors might not even do any work. In this case, we can adjust spark.dynamicAllocation Spark tasks will have worse I/O throughput and tend to suffer more from scheduling overhead and task setup overhead. Combining small partitions saves resources and improves cluster throughput. Spark

yaml to specify replicaCount and resources: replicaCount: 1 resources: requests: cpu: 2 memory: 4Gi limits: cpu: 4 memory: 10Gi and use it to override default chart values with -f flag: helm install but with small tasks, the default behavior can waste many resources due to executor allocation overhead, as some executors might not even do any work. In this case, we can adjust spark.dynamicAllocation Spark tasks will have worse I/O throughput and tend to suffer more from scheduling overhead and task setup overhead. 3.2. Deploying Kyuubi 47 Kyuubi, Release 1.7.3 Combining small partitions saves

yaml to specify replicaCount and resources: replicaCount: 1 resources: requests: cpu: 2 memory: 4Gi limits: cpu: 4 memory: 10Gi and use it to override default chart values with -f flag: helm install but with small tasks, the default behavior can waste many resources due to executor allocation overhead, as some executors might not even do any work. In this case, we can adjust spark.dynamicAllocation Spark tasks will have worse I/O throughput and tend to suffer more from scheduling overhead and task setup overhead. 3.2. Deploying Kyuubi 47 Kyuubi, Release 1.7.1 Combining small partitions saves

yaml to specify replicaCount and resources: replicaCount: 1 resources: requests: cpu: 2 memory: 4Gi limits: cpu: 4 memory: 10Gi and use it to override default chart values with -f flag: helm install but with small tasks, the default behavior can waste many resources due to executor allocation overhead, as some executors might not even do any work. In this case, we can adjust spark.dynamicAllocation Spark tasks will have worse I/O throughput and tend to suffer more from scheduling overhead and task setup overhead. 3.2. Deploying Kyuubi 47 Kyuubi, Release 1.7.3 Combining small partitions saves

yaml to specify replicaCount and resources: replicaCount: 1 resources: requests: cpu: 2 memory: 4Gi limits: cpu: 4 memory: 10Gi and use it to override default chart values with -f flag: helm install but with small tasks, the default behavior can waste many resources due to executor allocation overhead, as some executors might not even do any work. 3.2. Deploying Kyuubi 45 Kyuubi, Release 1.7.0 Spark tasks will have worse I/O throughput and tend to suffer more from scheduling overhead and task setup overhead. 50 Chapter 3. What’s Next Kyuubi, Release 1.7.0 Combining small partitions saves

yaml to specify replicaCount and resources: replicaCount: 1 resources: requests: cpu: 2 memory: 4Gi limits: cpu: 4 memory: 10Gi and use it to override default chart values with -f flag: helm install but with small tasks, the default behavior can waste many resources due to executor allocation overhead, as some executors might not even do any work. In this case, we can adjust spark.dynamicAllocation Spark tasks will have worse I/O throughput and tend to suffer more from scheduling overhead and task setup overhead. Combining small partitions saves resources and improves cluster throughput. Spark

yaml to specify replicaCount and resources: replicaCount: 1 resources: requests: cpu: 2 memory: 4Gi limits: cpu: 4 memory: 10Gi and use it to override default chart values with -f flag: helm install but with small tasks, the default behavior can waste many resources due to executor allocation overhead, as some executors might not even do any work. In this case, we can adjust spark.dynamicAllocation Spark tasks will have worse I/O throughput and tend to suffer more from scheduling overhead and task setup overhead. 3.2. Deploying Kyuubi 47 Kyuubi, Release 1.7.2 Combining small partitions saves

yaml to specify replicaCount and resources: replicaCount: 1 resources: requests: cpu: 2 memory: 4Gi limits: cpu: 4 memory: 10Gi and use it to override default chart values with -f flag: helm install but with small tasks, the default behavior can waste many resources due to executor allocation overhead, as some executors might not even do any work. In this case, we can adjust spark.dynamicAllocation Spark tasks will have worse I/O throughput and tend to suffer more from scheduling overhead and task setup overhead. 3.2. Deploying Kyuubi 47 Kyuubi, Release 1.7.2 Combining small partitions saves

--create- namespace --set replicaCount=1 replicaCount: 1 resources: requests: cpu: 2 memory: 4Gi limits: cpu: 4 memory: 10Gi helm install kyuubi ${KYUUBI_HOME}/charts/kyuubi -n kyuubi --create- Number of thread in the netty worker event loop of MySQL frontend service. Use min(cpu_cores, 8) in default. int 1.4.0 kyuubi.frontend.m ysql.worker.keepali ve.time PT1M Time(ms) that but with small tasks, the default behavior can waste many resources due to executor allocation overhead, as some executors might not even do any work. In this case, we can adjust spark.dynamicAllocation

--create- namespace --set replicaCount=1 replicaCount: 1 resources: requests: cpu: 2 memory: 4Gi limits: cpu: 4 memory: 10Gi helm install kyuubi ${KYUUBI_HOME}/charts/kyuubi -n kyuubi --create- Number of thread in the netty worker event loop of MySQL frontend service. Use min(cpu_cores, 8) in default. int 1.4.0 kyuubi.frontend.m ysql.worker.keepali ve.time PT1M Time(ms) that but with small tasks, the default behavior can waste many resources due to executor allocation overhead, as some executors might not even do any work. In this case, we can adjust spark.dynamicAllocation