#Download spark llap jar how to
#Download spark llap jar code

The DISABLE WORKLOAD MANAGEMENT command hangs for a long time sometimes.Д¬ancel the command and check the resource plans status with following command:Д¬heck if an active resource plan is available before running DISABLE WORKLOAD MANAGEMENT command again The customer then can use HWC to connect their Spark cluster to the LLAP cluster without WLM. To avoid the above issues, Customer can have two LLAP Clusters, one with WLM enabled and other without WLM. Spark jobs submitted via Hive Warehouse Connector (HWC) can experience intermittent failures if target LLAP cluster has WLM feature enabled. : Task was cancelled.ДЄt .(AbstractFuture.java:1349) ~ДЄt .(AbstractFuture.java:550) ~ДЄt .(AbstractFuture.java:513) ~ДЄt .concurrent.AbstractFuture$TrustedFuture.get(AbstractFuture.java:90) ~ДЄt .(Uninterruptibles.java:237) ~ДЄt .(Futures.java:1064) ~ДЄt .concurrent.Futures$n(Futures.java:1013) ~ДЄt .(DirectExecutor.java:30) ~ДЄt .(AbstractFuture.java:1137) ~ДЄt .(AbstractFuture.java:957) ~ДЄt .(AbstractFuture.java:611) ~ДЄt .concurrent.AbstractFuture$TrustedFuture.cancel(AbstractFuture.java:118) ~ДЄt .ql.$n(WmTezSession.java:264) ~ДЄt $RunnableAdapter.call(Executors.java:511) ДЄt .run(FutureTask.java:266) ДЄt $ScheduledFutureTask.access$201(ScheduledThreadPoolExecutor.java:180) ~ДЄt $n(ScheduledThreadPoolExecutor.java:293) ~ДЄt .runWorker(ThreadPoolExecutor.java:1149) ДЄt $n(ThreadPoolExecutor.java:624) ДЄt (Thread.java:748) These queries should run without any issues on resubmission.

When a WLM Tez AM is manually killed, then some of the queries may fail with following pattern.

#Download spark llap jar code

When WLM is disabled, all the inflight queries will fail with following exception pattern:ДЇAILED: Execution Error, return code 1 from .ql.

Also, tune the wm queue size to accommodate this change. You can work around this feature by increasing the QUERY_PARALLELISM property for the destination pool so that even for maximum load scenario, the queries submitted to the cluster can be supported by this pool. The above is a design limitation of WLM feature.

When Move Trigger is applied to a query and destination pool that doesn't have any Tez AMs available, then query is killed instead.

Running queries in WLM can get killed automatically for following cases: Query failures for some specific use cases One can also set the scheduling policy while creating the pool: CREATE POOL wlm_fault WITH ALLOC_FRACTION = 0.5, QUERY_PARALLELISM = 2, SCHEDULING_POLICY = fifo

#Download spark llap jar how to

For example scheduling_policy can be defined as either fair, which guarantees an equal share of resources on the cluster to each query that is assigned to the pool or fifo, which guarantees all resources to the first query that comes to the pool.ДЇollowing example shows how to set scheduling policy for a pool named etl in the resource plan wlm_basic: ALTER POOL wlm_basic.etl SET SCHEDULING_POLICY = fair Some tunings can be done to resource plan to reduce the resource contention that happens within a pool. The resource sharing sometimes leads to query slowness.

In WLM enabled LLAP cluster, resources are shared among queries based on resource plan configuration. When we disable the Workload Management in the cluster, these Tez AMs are automatically KILLED. These Tez AMs spawn up when WLM is activated based on the sum of QUERY_PARALLELISM of all the pools defined in the resource plan. These Tez AMs are scheduled to run in wm queue if .queue=wm is set in hive configs. In contrast to default LLAP clusters, WLM enabled clusters have another set of Tez AMs. WLM feature characteristics Lifecycle of Tez AMs in WLM enabled clusters Note: Make sure hiveserver2 component is selected in the above filters and component name. Replace with respective pool name to get the metrics in grafana. The metrics name follows the below patterns: _numExecutors In such cases, WLM-related metrics can be obtained from customized Grafana dashboards. HS2Interactive UI may not work for the ESP(Enterprise Security Package) enabled clusters released before Apr 2021. 'name' : 'Hadoop:service=hiveserver2,name=WmPoolMetrics.etl', WLM Metrics can be accessed directly via HS2Interactive UI under the Metrics Dump Tab.Д®xample metrics published by WLM for a given pool in a resource plan.

WM_POOLS_TO_TRIGGERS (RP_NAME string, POOL_PATH string, TRIGGER_NAME string).

WM_TRIGGERS (RP_NAME string, NAME string, TRIGGER_EXPRESSION string, ACTION_EXPRESSION string).

WM_MAPPINGS (RP_NAME string, ENTITY_TYPE string, ENTITY_NAME string, POOL_PATH string, ORDERING int).

WM_POOLS (RP_NAME string, PATH string, ALLOC_FRACTION double, QUERY_PARALLELISM int, SCHEDULING_POLICY string).

WM_RESOURCEPLANS (NAME string, STATUS string, QUERY_PARALLELISM int, DEFAULT_POOL_PATH string).

WLM entities information can also be viewed from following tables in Hive Metastore database Only applicable for custom hive metastore database