Add a column to store value of the property metricDescriptor.type in gcp_logging_metric table. Closes #179

[anisadas]

Integration test logs

Logs

SETUP: tests/gcp_logging_metric []

PRETEST: tests/gcp_logging_metric

TEST: tests/gcp_logging_metric
Running terraform
data.google_client_config.current: Refreshing state...
data.null_data_source.resource: Refreshing state...
google_logging_metric.named_test_resource: Creating...
google_logging_metric.named_test_resource: Creation complete after 5s [id=turbottest51011]

Warning: Deprecated Resource

The null_data_source was historically used to construct intermediate values to
re-use elsewhere in configuration, the same can now be achieved using locals


Apply complete! Resources: 1 added, 0 changed, 0 destroyed.

Outputs:

project_id = parker-aaa
resource_aka = gcp://logging.googleapis.com/projects/parker-aaa/metrics/turbottest51011
resource_id = turbottest51011
resource_name = turbottest51011

Running SQL query: test-get-query.sql
[
  {
    "description": "Test metric to verify table",
    "filter": "resource.type=gae_app AND severity>=ERROR",
    "label_extractors": {
      "mass": "EXTRACT(jsonPayload.request)",
      "sku": "EXTRACT(jsonPayload.id)"
    },
    "location": "global",
    "metric_descriptor_display_name": "turbottest51011",
    "metric_descriptor_labels": [
      {
        "description": "amount of matter",
        "key": "mass"
      },
      {
        "description": "Identifying number for item",
        "key": "sku",
        "valueType": "INT64"
      }
    ],
    "metric_descriptor_metric_kind": "DELTA",
    "metric_descriptor_type": "logging.googleapis.com/user/turbottest51011",
    "metric_descriptor_unit": "1",
    "metric_descriptor_value_type": "DISTRIBUTION",
    "name": "turbottest51011",
    "project": "parker-aaa",
    "value_extractor": "EXTRACT(jsonPayload.request)"
  }
]
✔ PASSED

Running SQL query: test-hydrate-query.sql
[
  {
    "description": "Test metric to verify table",
    "filter": "resource.type=gae_app AND severity>=ERROR",
    "label_extractors": {
      "mass": "EXTRACT(jsonPayload.request)",
      "sku": "EXTRACT(jsonPayload.id)"
    },
    "metric_descriptor_display_name": "turbottest51011",
    "metric_descriptor_labels": [
      {
        "description": "amount of matter",
        "key": "mass"
      },
      {
        "description": "Identifying number for item",
        "key": "sku",
        "valueType": "INT64"
      }
    ],
    "metric_descriptor_metric_kind": "DELTA",
    "metric_descriptor_type": "logging.googleapis.com/user/turbottest51011",
    "metric_descriptor_unit": "1",
    "metric_descriptor_value_type": "DISTRIBUTION",
    "name": "turbottest51011",
    "value_extractor": "EXTRACT(jsonPayload.request)"
  }
]
✔ PASSED

Running SQL query: test-invalid-name-query.sql
null
✔ PASSED

Running SQL query: test-list-query.sql
[
  {
    "description": "Test metric to verify table",
    "name": "turbottest51011"
  }
]
✔ PASSED

Running SQL query: test-not-found-query.sql
null
✔ PASSED

Running SQL query: test-turbot-query.sql
[
  {
    "akas": [
      "gcp://logging.googleapis.com/projects/parker-aaa/metrics/turbottest51011"
    ],
    "title": "turbottest51011"
  }
]
✔ PASSED

POSTTEST: tests/gcp_logging_metric

TEARDOWN: tests/gcp_logging_metric

SUMMARY:

1/1 passed.

Example query results

Results

Add example SQL query results here (please include the input queries as well)

[Subhajit97]

LGTM