The Spark Jar job is created and submitted on the DLI console. 8 Check execution result of the job. DLI console You can check the job status and run logs. Step 1: Create a Queue for General Purpose Create a queue before submitting Spark jobs. In this example, we will create a general...
DLI provides fully-managed Spark computing services by allowing you to execute Spark jobs.On the Overview page, click Create Job in the upper right corner of the Spark Jo
SparkJobType SparkLinkedService SparkObjectDataset SparkRequest SparkScheduler SparkServerType SparkServiceError SparkServicePlugin SparkSource SparkThriftTransportProtocol SqlConnection SqlConnectionType SqlDWSink SqlDWSource SqlMISink SqlMISource SqlPartitionOption SqlPartitionSettings SqlPool SqlPoolInfoListResult...
RDD的action操作才会触发SparkContext的runJob()方法,在runJob中: /** * Run a function on a given set of partitions in an RDD and pass the results to the given * handler function. This is the main entry point for all actions in Spark. */ def runJob[T, U: ClassTag]( rdd: RDD[T],...
## Kylin server mode,valid value[all,query,job]kylin.server.mode=all # ## Listofweb serversinuse,thisenables one web server instance to sync upwithother servers.kylin.server.cluster-servers=192.168.100.2:7070# ## Display timezone onUI,format like[GMT+NorGMT-N]kylin.web.timezone=GMT+8#...
2)Job • 用户程序中,每次调用 Action 时,逻辑上会生成一个 Job,一个 Job 包含了多个 Stage 。 3)Stage • Stage 包括两类:ShuffleMapStage 和 ResultStage,如果用户程序中调用了需要进行 Shuffle 计算的 Operator,如 groupByKey 等,就会以 Shuffle 为边界分成 ShuffleMapStage 和 ResultStage...
2)Job • 用户程序中,每次调用 Action 时,逻辑上会生成一个 Job,一个 Job 包含了多个 Stage 。 3)Stage • Stage 包括两类:ShuffleMapStage 和 ResultStage,如果用户程序中调用了需要进行 Shuffle 计算的 Operator,如 groupByKey 等,就会以 Shuffle 为边界分成 ShuffleMapStage 和 ResultStage...
queue: root.users.root start time: 1488853432955 final status: UNDEFINED tracking URL: http://...
对于第一步中,过滤掉under killing的executors,其实现是对executorDataMap中的所有executor调用executorIsAlive()方法中,判断是否在executorsPendingToRemove和executorsPendingLossReason两个数据结构中,这两个数据结构中的executors,都是即将移除或者已丢失的executor。
Spark application Web UI is short-lived, only available for the duration of the job. Once the application is done, you won’t be able to access it anymore. To allow continued access even after the application is completed is to utilize the Spark History Server. To do that, we need to ...