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sql_redacted.py
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sql_redacted.py
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'''
____ __ ____
/ __ \____ _/ /_____ _/ __ \____ ____ _
/ / / / __ `/ __/ __ `/ / / / __ \/ __ `/
/ /_/ / /_/ / /_/ /_/ / /_/ / /_/ / /_/ /
/_____/\__,_/\__/\__,_/_____/\____/\__, /
/____/
'''
import pyodbc #pyodbc is included with the Datadog agent, so you should not have to install any additional libraries
from checks import AgentCheck #Datadog library for Custom Agent Check
class SQL_query(AgentCheck):
def check(self, instance):
server = 'tcp:127.0.0.1' #put Database connection path here
database = 'DatadogDB' # put Database name here
username = 'ddagent' # put Database username here
password = '9IeP4mB0btF1G346UskTCoMh' # put Database Password here
cnxn = pyodbc.connect('DRIVER={SQL Server};SERVER='+server+';DATABASE='+database+';UID='+username+';PWD='+ password)
cursor = cnxn.cursor()
#Sample select query
cursor.execute("SELECT * FROM dbo.Products;") #What to query?
row = cursor.fetchone() #iterate through until you hit the end of table
while row:
dd_tags = [ #set datadog tags
'ProductName:' + row[1],
'ProductDescription:' + row[3],
]
self.gauge('sqlserver.product.price', row[2], tags=dd_tags) #Set metric name and tags, and pass to Datadog agent
row = cursor.fetchone()
cnxn.close() #close connection