azure-log-analytics-data-collector Ruby Client

Azure Log Analytics Data Collector API Client Libraries for Ruby. The repository was originally created for multiple programming languages, but it was refactored as a dedicated one for Ruby client. Python and PHP client libraries were moved to azure-log-analytics-data-colloector-python and azure-log-analytics-data-colloector-php respectively.

Retry policy

The client internal leverage [rest-client] to send HTTP request to the API. The client library retries request using the rest-client on the following status code (which is recommended action).

• 429 - Too Many Requests
• 500 - Internal Server Error
• 503 - Service Unavailable

By default, the client library retres for a total of 3 times, sleeping 5 sec between retries. The number of retries and sleeping time between retries can be changed with set_retries in the client class.

  def set_retries(max_retries, retry_sleep_period)
    @max_retries = max_retries
    @retry_sleep_period = retry_sleep_period
  end

Installation

gem install azure-loganalytics-datacollector-api

Sample code (Ruby Client)

Sample1 - No time_generated_field option

require "azure/loganalytics/datacollectorapi/client"

customer_id = '<Customer ID aka WorkspaceID String>'
shared_key = '<The primary or the secondary Connected Sources client authentication key>'
log_type = "MyCustomLog"

posting_records = []
record1= {
  :string => "MyText1",
  :boolean => true,
  :number => 100
}
record2= {
  :string => "MyText2",
  :boolean => false,
  :number => 200
}
posting_records.push(record1)
posting_records.push(record2)

client=Azure::Loganalytics::Datacollectorapi::Client::new( customer_id, shared_key)
res = client.post_data(log_type, posting_records)
puts res
puts "res code=#{res.code}"

if Azure::Loganalytics::Datacollectorapi::Client.is_success(res)
  puts "operation was succeeded!"
else
  puts "operation was failured!"
end

Sample2 - With time_generated_field option

require "azure/loganalytics/datacollectorapi/client"

customer_id = '<Customer ID aka WorkspaceID String>'
shared_key = '<The primary or the secondary Connected Sources client authentication key>'
log_type = "MyCustomLog"

posting_records = []
record1= {
  :string => "MyText1",
  :boolean => true,
  :number => 100,
  :timegen => "2017-11-23T11:13:35.576Z" # YYYY-MM-DDThh:mm:ssZ
}
record2= {
  :string => "MyText2",
  :boolean => false,
  :number => 200,
  :timegen => "2017-11-23T12:13:35.576Z" # YYYY-MM-DDThh:mm:ssZ
}
posting_records.push(record1)
posting_records.push(record2)

time_generated_field = "timegen"
client=Azure::Loganalytics::Datacollectorapi::Client::new( customer_id, shared_key)
res = client.post_data(log_type, posting_records, time_generated_field)
puts res
puts "res code=#{res.code}"

if Azure::Loganalytics::Datacollectorapi::Client.is_success(res)
  puts "operation was succeeded!"
else
  puts "operation was failured!"
end

Sample3 - With time_generated_field and azure_resource_id option

Supported setting azure_resource_id option from version 0.2.0

require "azure/loganalytics/datacollectorapi/client"

customer_id = '<Customer ID aka WorkspaceID String>'
shared_key = '<The primary or the secondary Connected Sources client authentication key>'
log_type = "MyCustomLog"

posting_records = []
record1= {
  :string => "MyText1",
  :boolean => true,
  :number => 100,
  :timegen => "2017-11-23T11:13:35.576Z" # YYYY-MM-DDThh:mm:ssZ
}
record2= {
  :string => "MyText2",
  :boolean => false,
  :number => 200,
  :timegen => "2017-11-23T12:13:35.576Z" # YYYY-MM-DDThh:mm:ssZ
}
posting_records.push(record1)
posting_records.push(record2)

time_generated_field = "timegen"

# Azure Resource ID
# [Azure Resource ID Format]
# /subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/{resourceProviderNamespace}/{resourceType}/{resourceName}
azure_resource_id ="/subscriptions/11111111-1111-1111-1111-111111111111/resourceGroups/otherResourceGroup/providers/Microsoft.Storage/storageAccounts/examplestorage"

client=Azure::Loganalytics::Datacollectorapi::Client::new( customer_id, shared_key)
res = client.post_data(log_type, posting_records, time_generated_field, azure_resource_id)
puts res
puts "res code=#{res.code}"

if Azure::Loganalytics::Datacollectorapi::Client.is_success(res)
  puts "operation was succeeded!"
else
  puts "operation was failured!"
end

Sample4 - use proxy to access the API

require "azure/loganalytics/datacollectorapi/client"

...
client=Azure::Loganalytics::Datacollectorapi::Client::new( customer_id, shared_key)
# client.set_proxy() # ENV['http_proxy'] is set by default 
client.set_proxy(your_proxy)
res = client.post_data(log_type, posting_records, time_generated_field)
puts res
...

Change log

• Changelog

Links

• https://rubygems.org/gems/azure-loganalytics-datacollector-api
• Azure Log Analytics Data Collecotr API

Development

After checking out the repo, run bin/setup to install dependencies. Then, run rake spec to run the tests. You can also run bin/console for an interactive prompt that will allow you to experiment.

To install this gem onto your local machine, run bundle exec rake install. To release a new version, update the version number in version.rb, and then run bundle exec rake release, which will create a git tag for the version, push git commits and tags, and push the .gem file to rubygems.org.

Contributing

Bug reports and pull requests are welcome on GitHub at https://github.com/yokawasa/azure-log-analytics-data-collector. This project is intended to be a safe, welcoming space for collaboration, and contributors are expected to adhere to the Contributor Covenant code of conduct.

License

The gem is available as open source under the terms of the MIT License.