feat: add bigquery metadata usage extractor

[mabdh]

• Add google logadmin API integration basic function
• Usage feature will be a feature flag and pre-calculated before extracting BQ tables and columns
• Integrate with the main bigquery flow
• Calculate table usage
• Calculate common join usage
• Parse sql query and get these information:
  • Join conditions (detect ON/USING keyword and store it as plain string condition)
    • e.g. ON t1.column1 = t2.column3 AND t1.column4 = t2.column5
  • Filter conditions (detect WHERE/HAVING keyword and store it as plain string condition)
    • e.g. WHERE t1.column1 IS TRUE AND event_timestamp > TIMESTAMP("2021-02-33")

Example Output

  {
        "_index": "table",
        "_type": "_doc",
        "_id": "bigquery::project_id/dataset_id/table_id",
        "_score": 1.0,
        "_source": {
          "urn": "bigquery::project_id/dataset_id/table_id",
          "name": "table_id",
          "service": "bigquery",
          "description": "",
          "data": {
            "preview": {},
            "profile": {
              "common_join": [
                {
                  "conditions": [
                    "ON target.column_1 = source.column_1 and target.param_name = source.param_name and DATE(target.event_timestamp) = DATE(source.event_timestamp)"
                  ],
                  "count": 1,
                  "urn": "bigquery::project_id_2/dataset_id_2/table_id_2"
                }
              ],
              "filter_conditions": [
                "WHERE t.param_3 = 'the_param' AND t.column_1 = \"280481a2-2384-4b81-aa3e-214ac60b31db\" AND event_timestamp >= TIMESTAMP(\"2021-10-29\", \"UTC\") AND event_timestamp < TIMESTAMP(\"2021-11-22T02:01:06Z\")"
              ],
              "usage_count": 1
            },
            "properties": {
              "attributes": {
                "dataset": "dataset_id",
                "full_qualified_name": "project_id:dataset_id.table_id",
                "partition_field": "event_timestamp",
                "project": "project_id",
                "type": "TABLE"
              },
              "labels": {
                "owner": "owner_name"
              }
            },
            "resource": {
              "name": "table_id",
              "service": "bigquery",
              "urn": "bigquery::project_id/dataset_id/table_id"
            },
            "schema": {
              "columns": [...

TODO

• Synchronize table proto with proton (PR is here)

[StewartJingga]

LGTM