Como executar jobs do Apache Spark no Cloud Dataproc avaliações

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Part 1 needs to be updated. Part 3 about PySpark-analysis-file is a little bit unclear. Cannot move on.

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Sachin G. · Revisado há almost 6 years

Received this recurring error despite following all the steps: Writing to qwiklabs-gcp-03-608e9beb365f Setting default log level to "WARN". To adjust logging level use sc.setLogLevel(newLevel). For SparkR, use setLogLevel(newLevel). 20/11/30 11:42:06 WARN org.apache.spark.util.Utils: Service 'SparkUI' could not bind on port 4040. Attempting port 4041. 20/11/30 11:42:06 WARN org.apache.spark.util.Utils: Service 'SparkUI' could not bind on port 4041. Attempting port 4042. 20/11/30 11:42:07 WARN org.apache.spark.scheduler.FairSchedulableBuilder: Fair Scheduler configuration file not found so jobs will be scheduled in FIFO order. To use fair scheduling, configure pools in fairscheduler.xml or set spark.scheduler.allocation.file to a file that contains the configuration. [Stage 0:> (0 + 0) / 1]20/11/30 11:42:31 WARN org.apache.spark.scheduler.cluster.YarnScheduler: Initial job has not accepted any resources; check your cluster UI to ensure that workers are registered and have sufficient resources 20/11/30 11:42:46 WARN org.apache.spark.scheduler.cluster.YarnScheduler: Initial job has not accepted any resources; check your cluster UI to ensure that workers are registered and have sufficient resources 20/11/30 11:43:01 WARN org.apache.spark.scheduler.cluster.YarnScheduler: Initial job has not accepted any resources; check your cluster UI to ensure that workers are registered and have sufficient resources 20/11/30 11:43:16 WARN org.apache.spark.scheduler.cluster.YarnScheduler: Initial job has not accepted any resources; check your cluster UI to ensure that workers are registered and have sufficient resources [Stage 0:> (0 + 0) / 1]20/11/30 11:43:31 WARN org.apache.spark.scheduler.cluster.YarnScheduler: Initial job has not accepted any resources; check your cluster UI to ensure that workers are registered and have sufficient resources 20/11/30 11:43:46 WARN org.apache.spark.scheduler.cluster.YarnScheduler: Initial job has not accepted any resources; check your cluster UI to ensure that workers are registered and have sufficient resources 20/11/30 11:44:01 WARN org.apache.spark.scheduler.cluster.YarnScheduler: Initial job has not accepted any resources; check your cluster UI to ensure that workers are registered and have sufficient resources 20/11/30 11:44:16 WARN org.apache.spark.scheduler.cluster.YarnScheduler: Initial job has not accepted any resources; check your cluster UI to ensure that workers are registered and have sufficient resources [Stage 0:> (0 + 0) / 1]20/11/30 11:44:31 WARN org.apache.spark.scheduler.cluster.YarnScheduler: Initial job has not accepted any resources; check your cluster UI to ensure that workers are registered and have sufficient resources 20/11/30 11:44:46 WARN org.apache.spark.scheduler.cluster.YarnScheduler: Initial job has not accepted any resources; check your cluster UI to ensure that workers are registered and have sufficient resources 20/11/30 11:45:01 WARN org.apache.spark.scheduler.cluster.YarnScheduler: Initial job has not accepted any resources; check your cluster UI to ensure that workers are registered and have sufficient resources 20/11/30 11:45:16 WARN org.apache.spark.scheduler.cluster.YarnScheduler: Initial job has not accepted any resources; check your cluster UI to ensure that workers are registered and have sufficient resources [Stage 0:> (0 + 0) / 1]20/11/30 11:45:31 WARN org.apache.spark.scheduler.cluster.YarnScheduler: Initial job has not accepted any resources; check your cluster UI to ensure that workers are registered and have sufficient resources 20/11/30 11:45:46 WARN org.apache.spark.scheduler.cluster.YarnScheduler: Initial job has not accepted any resources; check your cluster UI to ensure that workers are registered and have sufficient resources

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