spark-monitoring

A python library to interact with the Spark History server.

Quickstart

Basic

$ pip install spark-monitoring

import sparkmonitoring as sparkmon

monitoring = sparkmon.client('my.history.server')
print(monitoring.list_applications())

Pandas

$ pip install spark-monitoring[pandas]

import sparkmonitoring as sparkmon
import matplotlib.pyplot as plt

monitoring = sparkmon.df('my.history.server')

apps = monitoring.list_applications()
apps['function'] = apps.name.str.split('(').str.get(0)
print(apps.head().stack())

plt.figure()
apps['duration'].hist(by=apps['function'], figsize=(40, 20))
plt.show()

jobs = monitoring.list_jobs(apps.iloc[0].id)

print(jobs.head().stack())

Reference

sparkmonitoring.client

Method to return a client to make calls to the spark history server with.

Arguments

Name	Type	Description	Default
server	string	Hostname or IP pointing to the spark history server
port	int	Port which the spark history server is exposed on	18080
is_https	bool	Whether or not to use https to communicate with the spark server	False
api_version	int	API Version to interact with. Currently only 1 is supported	1

Response

• sparkmonitoring.api.ClientV1

Examples

Basic Endpoint

import sparkmonitoring as sparkmon
client = sparkmon.client('my.history.server')

Custom Endpoint

import sparkmonitoring as sparkmon
client = sparkmon.client('my.history.server', port=8080, is_https=True)

sparkmonitoring.df

Method to return a client to make calls to the spark history server with. This client will return pandas dataframes, as opposed ot dictionaries in the standard client. Can be used when the spark-monitoring[pandas] extra is installed.

Arguments

Name	Type	Description	Default
server	string	Hostname or IP pointing to the spark history server
port	int	Port which the spark history server is exposed on	18080
is_https	bool	Whether or not to use https to communicate with the spark server	False
api_version	int	API Version to interact with. Currently only 1 is supported	1

Response

• sparkmonitoring.dataframes.PandasClient

Examples

Basic Endpoint

import sparkmonitoring as sparkmon
client = sparkmon.df('my.history.server')

Custom Endpoint

import sparkmonitoring as sparkmon
client = sparkmon.df('my.history.server', port=8080, is_https=True)

sparkmonitoring.api.ClientV1

A client to interact with the Spark History Server. Generally this class is not instantiated directly, and is accessed via sparkmonitoring.client(...).

Arguments

Name	Type	Description	Default
server	string	Hostname or IP pointing to the spark history server
port	int	Port which the spark history server is exposed on
is_https	bool	Whether or not to use https to communicate with the spark server
api_version	int	API Version to interact with. Currently only 1 is supported

Methods

• list_applications(...)
• get_application(...)
• list_jobs(...)
• get_job(...)
• list_stages(...)
• list_stage_attempts(...)
• get_stage_attempt(...)
• get_stage_attempt_summary(...)
• get_stage_attempt_tasks(...)
• list_active_executors(...)
• list_executor_threads(...)
• list_all_executors(...)

sparkmonitoring.dataframes.PandasClient.list_applications

A list of all applications.

Arguments

Name	Type	Description	Default
status	enum{'completed','running'}	Type of applications to return
minDate	string{ISO8601}	Earliest Application
maxDate	string{ISO8601}	Latest Application
limit	int	Number of results to return

sparkmonitoring.dataframes.PandasClient

A client to interact with the Spark History Server, returning pandas DataFrames. Generally this class is not instantiated directly, and is accessed via sparkmonitoring.df(...).

Arguments

Name	Type	Description	Default
server	string	Hostname or IP pointing to the spark history server
port	int	Port which the spark history server is exposed on	18080
is_https	bool	Whether or not to use https to communicate with the spark server	False
api_version	int	API Version to interact with. Currently only 1 is supported	1

Methods

• list_applications(...)
• get_application(...)
• list_jobs(...)
• get_job(...)
• list_stages(...)