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如果让sparksql支持update操作,最关键的就是做一个判断,比如: if(isUpdate){sql语句:INSERTINTOstudent(columns_1,columns_2)VALUES('第一个字段值','第二个字段值')ONDUPLICATEKEYUPDATEcolumns_1='呵呵哒',columns_2='哈哈哒';}else{insertintostudent(columns_1,columns_2,...)values(?,?,...)} 但是...
maxTaskFailures) val stage = taskSet.stageId val stageTaskSets = taskSetsByStageIdAndAttempt.getOrElseUpdate(stage, new HashMap[Int, TaskSetManager]) stage
// taskSetsByStageIdAndAttempt 是一个 HashMap[Int, TaskSetManager] /* getOrElseUpdate(key: A, op: => B): B= * 如果 key 已经在这个 map 中, 就返回其对应的value * 否则就根据已知的表达式 'op' 计算其对应的value 并将其存储到 map中, 并返回该 value */ val stageTaskSets = taskSets...
出现异常,即来到 ExecutorRunner # killProcess: /** * Kill executor process, wait for exit and notify worker to update resource status. * * @param message the exception message which caused the executor's death */privatedefkillProcess(message:Option[String]){varexitCode:Option[Int]=Noneif(proc...
(8) 在TaskRunner执行任务完成时,会向DriverEndpoint发送StatusUpdate消息,DriverEndpoint接收到消息会调用TaskSchedulerImpl的statusUpdate方法,根据任务执行不同的结果处理,处理完毕后再给该Executor分配执行任务: case StatusUpdate(executorId, taskId, state, data) => ...
Indices are not cleaned up if the Spark master receives an update within the timeout. Default: 1 (hour) SPARK_EGO_FREE_SLOTS_IDLE_TIMEOUT Specifies how long (in seconds) the Spark driver must retain free slots before releasing them back to the Spark master. If new tasks are generated ...
--SparkSQL updatehudi.test_flink_incrementalsetname='hudi5_update'whereid=5; 继续验证结果 结果是更新的增量数据也会insert到MySQL中的sink表,但是不会更新原来的数据 那如果想实现更新的效果呢?我们需要在MySQL和Flink的sink表中加上主键字段,两者缺一不可,如下 ...
Indices are not cleaned up if the Spark master receives an update within the timeout. Default: 1 (hour) SPARK_EGO_FREE_SLOTS_IDLE_TIMEOUT Specifies how long (in seconds) the Spark driver must retain free slots before releasing them back to the Spark master. If new tasks are generated ...
1、rdd持久化 2、广播 3、累加器 1、rdd持久化 通过spark-shell,可以快速的验证我们的想法和操作! 启动hdfs集群 spark@SparkSingleNode:/usr/local/hadoop/hadoop-2.6.0$ sbin/start-dfs.sh 启动spark集群