A Python library for sending notifications on Spark Job Status.
Project description
spark-pager
265, You got Mail
A 'tongue-in-cheek' pager of some sorts that notifies users via email alerts on the status of Spark Jobs during/after execution
Prerequisites
- An E-mail Address and Password
Installation
Install spark-pager with pip
pip install spark-pager
Usage
- Import and instantiate package with e-mail credentials and spark context
from spark_pager import Pager
from pyspark import SparkContext
sc = SparkContext()
pager = Pager(spark_context=sc,
username = <username>,
password = <password>,
host = <host>,
port = <port>)
## monitor the spark-context when spark-jobs are initiated
## and notify users on its status.
pager.listener()
💥 Note: the default host is smtp.gmail.com
and the default port is 587; feel free to revert to the host and port of your choosing
- To Stop the pager; run this .::
# To stop the pager
pager.stop()
# To stop the spark-context
sc.stop()
Example-Code
## Import Packages
from spark_pager import Pager
from pyspark import SparkContext
from pyspark.sql import SparkSession
## Set Spark Configuration
sc = SparkContext()
spark = SparkSession.builder \
.enableHiveSupport() \
.getOrCreate()
spark.sparkContext.setLogLevel("ERROR")
spark.conf.set("spark.sql.repl.eagerEval.enabled", True)
## Intialize Pager
pager = Pager(spark_context=sc,
username = user@gmail.com,
password = password)
## Set Listener
pager.listener()
df = spark.createDataFrame([("john-doe", 34),
("jane-doe", 22)],
["name", "age"])
# Stop Pager
pager.stop()
# Stop Spark-Context
sc.stop()
💥 Note: Job Status could either be Running, Failed or Succeeded
Now if everything goes well; you should receive a mail notification that looks kind-of like this .::
Appendix
This project is open to contributions and additions from the community
Authors
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