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data.compute_lb_ip_ranges

compute_lb_ip_ranges represents the google_compute_lb_ip_ranges Terraform data source.

This package contains functions and utilities for setting up the data source using Jsonnet code.

Index

Fields

fn new

new()

google.data.compute_lb_ip_ranges.new injects a new data_google_compute_lb_ip_ranges Terraform data source block into the root module document.

Additionally, this inserts a private function into the _ref attribute that generates references to attributes of the resource. For example, if you added a new instance to the root using:

# arguments omitted for brevity
google.data.compute_lb_ip_ranges.new('some_id')

You can get the reference to the id field of the created google.data.compute_lb_ip_ranges using the reference:

$._ref.data_google_compute_lb_ip_ranges.some_id.get('id')

This is the same as directly entering "${ data_google_compute_lb_ip_ranges.some_id.id }" as the value.

NOTE: if you are chaining multiple resources together in a merge operation, you may not be able to use super, self, or $ to refer to the root object. Instead, make an explicit outer object using local.

Args:

  • dataSrcLabel (string): The name label of the block.

Returns:

  • A mixin object that injects the new data source into the root Terraform configuration.

fn newAttrs

newAttrs()

google.data.compute_lb_ip_ranges.newAttrs constructs a new object with attributes and blocks configured for the compute_lb_ip_ranges Terraform data source.

Unlike google.data.compute_lb_ip_ranges.new, this function will not inject the data source block into the root Terraform document. Instead, this must be passed in as the attrs argument for the tf.withData function to build a complete block.

This is most useful when you need to preprocess the attributes with functions, conditional, or looping logic prior to injecting into a complete block.

Returns:

  • An attribute object that can be used with tf.withData to construct a new compute_lb_ip_ranges data source into the root Terraform configuration.