Cloud Dataproc で Apache Spark ジョブを実行する のレビュー

Chandupatla Anusha · 6年弱前にレビュー済み

Gajendra Suhas · 6年弱前にレビュー済み

Ongewe Bernie · 6年弱前にレビュー済み

sophia sophia · 6年弱前にレビュー済み

Slawik Albert · 6年弱前にレビュー済み

Sanchez Banchio Francisco · 6年弱前にレビュー済み

Kamble Sushant · 6年弱前にレビュー済み

raj vimal · 6年弱前にレビュー済み

Nagar Kathan · 6年弱前にレビュー済み

Garje Pooja · 6年弱前にレビュー済み

Lahiyane Atik · 6年弱前にレビュー済み

Kuo 郭益維 (mayerkuo) Mayer · 6年弱前にレビュー済み

Garg Somesh · 6年弱前にレビュー済み

Khurana Ashish · 6年弱前にレビュー済み

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

happyjoo happyjoo · 6年弱前にレビュー済み

Gajwa Sachin · 6年弱前にレビュー済み

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

Affendy Ahmad Fatih · 6年弱前にレビュー済み

Suzuki Seiya · 6年弱前にレビュー済み

Pandey Subodh · 6年弱前にレビュー済み

Basu Arup · 6年弱前にレビュー済み

Shah Sajjad · 6年弱前にレビュー済み

Fernando Angulo Santa Cruz Miguel · 6年弱前にレビュー済み

Nazar Tooba · 6年弱前にレビュー済み

Poojary Shreya · 6年弱前にレビュー済み

Na Hoin · 6年弱前にレビュー済み