我正在使用以下代码玩PySpark：
from pyspark.sql import SparkSession
spark = SparkSession.builder.appName("Scoring System").getOrCreate()
df = spark.read.csv('output.csv')
df.show()
在命令行上运行python trial.py之后，大约5至10分钟，没有任何进展：
To adjust logging level use sc.setLogLevel(newLevel). For SparkR, use setLogLevel(newLevel).
2019-05-05 22:58:31 WARN Utils:66 - Service 'SparkUI' could not bind on port 4040. Attempting port 4041.
2019-05-05 22:58:32 WARN Client:66 - Neither spark.yarn.jars nor spark.yarn.archive is set, falling back to uploading libraries under SPARK_HOME.
[Stage 0:> (0 + 0) / 1]2019-05-05 23:00:08 WARN YarnScheduler:66 - Initial job has not accepted any resources; check your cluster UI to ensure that workers are registered and have sufficient resources
2019-05-05 23:00:23 WARN YarnScheduler:66 - Initial job has not accepted any resources; check your cluster UI to ensure that workers are registered and have sufficient resources
2019-05-05 23:00:38 WARN YarnScheduler:66 - Initial job has not accepted any resources; check your cluster UI to ensure that workers are registered and have sufficient resources
2019-05-05 23:00:53 WARN YarnScheduler:66 - 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]2019-05-05 23:01:08 WARN YarnScheduler:66 - Initial job has not accepted any resources; check your cluster UI to ensure that workers are registered and have sufficient resources
2019-05-05 23:01:23 WARN YarnScheduler:66 - Initial job has not accepted any resources; check your cluster UI to ensure that workers are registered and have sufficient resources
2019-05-05 23:01:38 WARN YarnScheduler:66 - Initial job has not accepted any resources; check your cluster UI to ensure that workers are registered and have sufficient resources
我很想知道自己的工作节点（？）中缺少资源，还是缺少什么？
答案 0 :(得分：0)
尝试增加执行者和记忆的数量 pyspark --num-executors 5 --executor-memory 1G