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/AWS Glue Job Call Redshift Stored Procedure/

AWS Glue Job Call Redshift Stored Procedure


Anyone can help me? Need to run my Redshift Stored Procedure, always have and error to this query. Do I have input a wrong query? Please help

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

args = getResolvedOptions(sys.argv, ['JOB_NAME'])

sc = SparkContext()
glueContext = GlueContext(sc)
spark = glueContext.spark_session

logger = glueContext.get_logger()

job = Job(glueContext)
job.init(args['JOB_NAME'], args)

# dw-poc-dev spark test
source_jdbc_conf = glueContext.extract_jdbc_conf('glue_connection')

from py4j.java_gateway import java_import

conn = sc._gateway.jvm.DriverManager.getConnection(source_jdbc_conf.get('url'),source_jdbc_conf.get('user','username'), source_jdbc_conf.get('password','password'))

# call stored procedure
rs = conn.executeQuery('call ss_schema.sp_weekly_kpi_01_bbbklg()');

asked a month ago48 views
1 Answers


You can use below code to execure Redshift Procedure:

Redshift Procedure name: post_script

post_query="begin; CALL post_script(); end;" 

 datasink = glueContext.write_dynamic_frame.from_jdbc_conf(frame = resolvechoice3, catalog_connection = "redshift_connection", connection_options = {"dbtable": "", "database": "dev","postactions":post_query},redshift_tmp_dir = 's3://tempb/temp/' transformation_ctx = "datasink")

answered a month ago
  • Thank you for this, but i got a new problem,

    Question is this correct format of code in calling a stored procedure in redshift.

    stmt = conn.createStatement();

    try: rs = stmt.executeQuery('call dbo.sp_copy_csv_gz_staging('target_db', 's3_source')'); except: print("An exception occurred but proc has run")


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