使用upload_jars函数获取GeoSpark错误

问题描述

我正在尝试在AWS EMR集群中运行GeoSpark。代码是:

#  coding=utf-8

from pyspark.sql import SparkSession
import pyspark.sql.functions as f
import pyspark.sql.types as t
from geospark.register import GeoSparkRegistrator
from geospark.utils import GeoSparkKryoRegistrator
from geospark.register import upload_jars

import config as cf

import yaml


if __name__ == "__main__":
    # Read files
    with open("/tmp/param.yml",'r') as ymlfile:
        param = yaml.load(ymlfile,Loader=yaml.SafeLoader)
    
    # Register jars
    upload_jars()

    # Creation of spark session
    print("Creating Spark session")
    spark = SparkSession \
        .builder \
        .getorCreate()
    
    GeoSparkRegistrator.registerall(spark)

upload_jars()函数中出现以下错误

Traceback (most recent call last):
  File "/usr/local/lib/python3.7/site-packages/findspark.py",line 143,in init
    py4j = glob(os.path.join(spark_python,"lib","py4j-*.zip"))[0]
IndexError: list index out of range

During handling of the above exception,another exception occurred:

Traceback (most recent call last):
  File "geo_processing.py",line 21,in <module>
    upload_jars()
  File "/usr/local/lib/python3.7/site-packages/geospark/register/uploading.py",line 39,in upload_jars
    findspark.init()
  File "/usr/local/lib/python3.7/site-packages/findspark.py",line 146,in init
    "Unable to find py4j,your SPARK_HOME may not be configured correctly"
Exception: Unable to find py4j,your SPARK_HOME may not be configured correctly

如何解决错误

解决方法

解决方案

您应该从代码中删除 upload_jars() 并以另一种方式加载 jar,方法是将它们复制到 SPARK_HOME(从 emr-4.0.0 开始在 /usr/lib/spark)作为EMR 引导操作的一部分或使用 spark-submit 选项的 --jars 命令。

说明

我无法让 upload_jars() 函数在多节点 EMR 集群上工作。根据{{​​3}},upload_jars()

使用 findspark Python 包将 jar 文件上传到执行器和节点。为避免一直复制,jar文件可以放在目录SPARK_HOME/jars或Spark配置文件中指定的任何其他路径。

Spark 在 EMR 上以 YARN 模式安装,这意味着它仅安装在主节点上,而不安装在核心/任务节点上。因此,findspark 不会在核心/任务节点上找到 Spark,因此您会收到错误 Unable to find py4j,your SPARK_HOME may not be configured correctly