AWS胶水作业输入参数

在下面的示例中,我将介绍如何在代码中使用粘合作业输入参数。这段代码获取输入参数并将其写入平面文件。

1. 在作业配置中设置输入参数。

2. 胶水作业的代码

import sys
from awsglue.transforms import *
from awsglue.utils import getResolvedOptions
from pyspark.context import SparkContext
from awsglue.context import GlueContext
from awsglue.job import Job
 
## @params: [JOB_NAME]
args = getResolvedOptions(sys.argv, ['JOB_NAME'])
 
sc = SparkContext()
glueContext = GlueContext(sc)
spark = glueContext.spark_session
job = Job(glueContext)
args = getResolvedOptions(sys.argv, ['JOB_NAME','VAL1','VAL2','VAL3','DEST_FOLDER'])
job.init(args['JOB_NAME'], args)

v_list=[{"VAL1":args['VAL1'],"VAL2":args['VAL2'],"VAL3":args['VAL3']}]

df=sc.parallelize(v_list).toDF()
df.repartition(1).write.mode('overwrite').format('csv').options(header=True, delimiter = ';').save("s3://"+ args['DEST_FOLDER'] +"/")

job.commit()

3. 也可以在使用boto3、CloudFormation或STEP功能时提供输入参数。这个例子展示了如何使用boto3来实现这一点。

import boto3
    
def lambda_handler(event, context):
    glue = boto3.client('glue')
        
        
    myJob = glue.create_job(Name='example_job2', Role='AWSGlueServiceDefaultRole',
                            Command={'Name': 'glueetl','ScriptLocation': 's3://aws-glue-scripts/example_job'},
                            DefaultArguments={"VAL1":"value1","VAL2":"value2","VAL3":"value3"}       
                                   )
    glue.start_job_run(JobName=myJob['Name'], Arguments={"VAL1":"value11","VAL2":"value22","VAL3":"value33"})

有用的链接:

1. https://docs.aws.amazon.com/glue/latest/dg/aws-glue-api-crawler-pyspark-extensions-get-resolved-options.html
2. https://docs.aws.amazon.com/glue/latest/dg/aws-glue-programming-python-calling.html
3. https://boto3.amazonaws.com/v1/documentation/api/latest/reference/services/glue.html#Glue.Client.create_job
4. https://docs.aws.amazon.com/step-functions/latest/dg/connectors-glue.html