Bigdata client verifies SSL certificates for HTTPS requests, just like a web browser. By default, SSL verification is enabled, and Bigdata client will throw a SSLError if it’s unable to verify the certificate.

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Set up

You can set it up in two ways.

  1. by setting verify_ssl parameter to True or False
  2. by setting verify_ssl parameter to path to certificate *.pem file

By setting the verify parameter to False , you instruct Python requests to skip SSL certificate verification. While this can quickly resolve SSL errors, it’s important to note that it compromises the security of your application by allowing potential man-in-the-middle attacks and therefore Bigdata.com does not recommend it in production environments.

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Example

Skip SSL verification:

from bigdata_client import Bigdata

bigdata = Bigdata(verify_ssl=False)

Or provide path to certificate file:

from bigdata_client import Bigdata

bigdata = Bigdata(verify_ssl="/path/to/certificate.pem")

Bigdata client verifies SSL certificates for HTTPS requests, just like a web browser. By default, SSL verification is enabled, and Bigdata client will throw a SSLError if it’s unable to verify the certificate.

​
Set up

You can set it up in two ways.

  1. by setting verify_ssl parameter to True or False
  2. by setting verify_ssl parameter to path to certificate *.pem file

By setting the verify parameter to False , you instruct Python requests to skip SSL certificate verification. While this can quickly resolve SSL errors, it’s important to note that it compromises the security of your application by allowing potential man-in-the-middle attacks and therefore Bigdata.com does not recommend it in production environments.

​
Example

Skip SSL verification:

from bigdata_client import Bigdata

bigdata = Bigdata(verify_ssl=False)

Or provide path to certificate file:

from bigdata_client import Bigdata

bigdata = Bigdata(verify_ssl="/path/to/certificate.pem")