安装AWS Glue ETL库

Question

问题

设置AWS Glue Library后，我将面临以下错误：

PS C:\Users\[user]\Documents\[company]\projects\code\data-lake\etl\tealium> python visitor.py
20/04/05 19:33:14 WARN NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
Using Spark's default log4j profile: org/apache/spark/log4j-defaults.properties
Setting default log level to "WARN".
To adjust logging level use sc.setLogLevel(newLevel). For SparkR, use setLogLevel(newLevel).
Traceback (most recent call last):
  File "visitor.py", line 9, in <module>
    glueContext = GlueContext(sc.getOrCreate())
  File "C:\Users\[user]\Documents\[company]\projects\code\aws-glue-libs-glue-1.0\PyGlue.zip\awsglue\context.py", line 45, in __init__
  File "C:\Users\[user]\Documents\[company]\projects\code\aws-glue-libs-glue-1.0\PyGlue.zip\awsglue\context.py", line 66, in _get_glue_scala_context
TypeError: 'JavaPackage' object is not callable

场景

我试图使用PIPENV在虚拟环境中安装AWS GLue ETL库。因此，下面的.env文件包含了环境变量：

HADOOP_HOME="C:\Users\[user]\AppData\Local\Spark\winutils"
SPARK_HOME="C:\Users\[user]\AppData\Local\Spark\spark-2.4.3-bin-hadoop2.8\spark-2.4.3-bin-hadoop2.8\spark-2.4.3-bin-spark-2.4.3-bin-hadoop2.8"
JAVA_HOME="C:\Program Files\Java\jdk1.8.0_231"
PATH="${HADOOP_HOME}\bin"
PATH="${SPARK_HOME}\bin:${PATH}"
PATH="${JAVA_HOME}\bin:${PATH}"
SPARK_CONF_DIR="C:\Users\[user]\Documents\[company]\projects\code\aws-glue-libs-glue-1.0\conf"
PYTHONPATH="${SPARK_HOME}/python/:${PYTHONPATH}"
PYTHONPATH="${SPARK_HOME}/python/lib/py4j-0.10.7-src.zip:${PYTHONPATH}"
PYTHONPATH="C:/Users/[user]/Documents/[company]/projects/code/aws-glue-libs-glue-1.0/PyGlue.zip:${PYTHONPATH}" 

我的代码最初非常简单，我只创建Glue上下文，如下所示：

from awsglue.context import GlueContext
from awsglue.utils import getResolvedOptions
from pyspark.context import SparkContext
from pyspark.conf import SparkConf

sc = SparkContext()

glueContext = GlueContext(sc.getOrCreate())

print(glueContext)
print(sc)

你们知道这可能是什么问题吗？

Answer 1

试一试：

import sys
from pyspark.context import SparkContext
from awsglue.context import GlueContext
from awsglue.job import Job

sc = SparkContext.getOrCreate()
sc.setLogLevel('INFO')
glueContext = GlueContext(sc)
logger = glueContext.get_logger()
spark = glueContext.spark_session()
job = Job(glueContext)
job.init(args['JOB_NAME'], args)

另外，如果你创造新的胶水作业，它会给你样板代码，解决你的问题.