Passing parameters to Glue job from AWS Lambda

Question

We need to pass 4 parameters from AWS Lambda to AWS Glue job while triggering Glue job.

response = client.start_job_run(JobName = 'my_test_Job',
         Arguments = {
           '--yr_partition_val':   2017,
           '--mon_partition_val':  05,
           '--date_partition_val':  25,
           '--hour_partition_val': 07 } )

Glue need to catch these 4 parameters to proceed further in pyspark glue code.

I have tried using below in glue to catch parameters:

import sys
from awsglue.utils import getResolvedOptions

args = getResolvedOptions(sys.argv,
                      ['JOB_NAME',
                       'yr_partition_val',
                       'mon_partition_val',
                       'date_partition_val',
                       'hour_partition_val'])

but got the error as:

self.error(_('argument %s is required') % name)
awsglue.utils.GlueArgumentError: argument --JobName is required

Can someone help it out?

Answer 1

AWS says '--JOB_NAME' is internal to Glue and should not be set. Also, the arguments are case-sensitive.

When calling from -

Glue API

Name='job_name_value' needs to be specified as first argument

Lambda API

JobName='job_name_value' needs to be specified as first argument See Example below:

    current_year_full = '2019'
    current_month = '01'
    current_day = '21' 
    current_hour = '01'
    int_bucket_name = 'datascience-ca-input'
    glue_job_name = os.getenv("job_name")
    response = gl.start_job_run(
            JobName = glue_job_name,
            Arguments = {
                '--intermediate_bucket_name': int_bucket_name,
                '--year_partition_value': current_year_full,
                '--month_partition_value': current_month,
                '--date_partition_value': current_day,
                '--hour_partition_value': current_hour } )