Container

These are queries for AWS Services under the Container product family .

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CUR Query Library uses placeholder variables, indicated by a dollar sign and curly braces (${ }). ${table_name} and ${date_filter} are common placeholder variables used throughout CUR Query Library, which must be replaced before a query will run. For example, if your CUR table is called cur_table and is in a database called cur_db, you would replace ${table_name} with cur_db.cur_table. For ${date_filter}, you have multiple options. See Filtering by Date in the CUR Query Library Help section for additional details.

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Amazon Elastic Container Services

Query Description

This query will output the daily cost and usage per resource, by operation and service, for Elastic Consainer Services, ECS and EKS, both unblended and amortized costs are shown. To provide you with a complete picture of the data, to match totals in cost explorer, if you are using Savings Plans you will likely see results with blank resource IDs, these represent the Savings Plans Negation values for compute cost already covered by Savings Plans.

Pricing

Please refer to the Amazon ECS pricing page and the Amazon EKS pricing page .

Sample Output

Sample output includes a subset of query columns Images/ecs_eks.png

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    SELECT
      bill_payer_account_id,
      line_item_usage_account_id,
      SPLIT_PART(line_item_resource_id,':',6) as split_line_item_resource_id,
      DATE_FORMAT((line_item_usage_start_date),'%Y-%m-%d') AS day_line_item_usage_start_date,
      line_item_operation,
      line_item_product_code,
      SUM(CAST(line_item_usage_amount AS double)) AS sum_line_item_usage_amount,
      SUM(line_item_unblended_cost) "sum_line_item_unblended_cost"
    , sum(CASE
        WHEN ("line_item_line_item_type" = 'SavingsPlanCoveredUsage') THEN "savings_plan_savings_plan_effective_cost"
        WHEN ("line_item_line_item_type" = 'SavingsPlanRecurringFee') THEN ("savings_plan_total_commitment_to_date" - "savings_plan_used_commitment")
        WHEN ("line_item_line_item_type" = 'SavingsPlanNegation') THEN 0
        WHEN ("line_item_line_item_type" = 'SavingsPlanUpfrontFee') THEN 0
        WHEN ("line_item_line_item_type" = 'DiscountedUsage') THEN "reservation_effective_cost"
          ELSE "line_item_unblended_cost" END) "amortized_cost"
    FROM
      ${table_name}
    WHERE
      ${date_filter}
      and line_item_product_code in ('AmazonECS','AmazonEKS')
      AND line_item_line_item_type  in ('DiscountedUsage', 'Usage', 'SavingsPlanCoveredUsage')
    GROUP BY
      bill_payer_account_id,
      line_item_usage_account_id,
      3,
      4,
      line_item_operation,
      line_item_product_code
    ORDER BY
      day_line_item_usage_start_date,
      sum_line_item_unblended_cost,
      sum_line_item_usage_amount,
      line_item_operation;

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Amazon ECS - Daily Usage Hours and Cost by Usage Type and Purchase Option

Query Description

This query will output the daily ECS cost and usage per resource, by usage type and purchase option, both unblended and amortized costs are shown. To provide you with a complete picture of the data, to match totals in cost explorer, if you are using Savings Plans you will likely see results with blank resource IDs, these represent the Savings Plans Negation values for compute cost already covered by Savings Plans.

Pricing

Please refer to the Amazon ECS pricing page .

Sample Output

Sample output includes a subset of query columns Images/ecs_hours_day.png

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    SELECT
      bill_payer_account_id,
      line_item_usage_account_id,
      DATE_FORMAT((line_item_usage_start_date),'%Y-%m-%d') AS day_line_item_usage_start_date,
      SPLIT_PART(SPLIT_PART(line_item_resource_id,':',6),'/',2) AS split_line_item_resource_id,
      CASE
        WHEN line_item_usage_type LIKE '%%Fargate-GB%%' THEN 'GB per hour'
        WHEN line_item_usage_type LIKE '%%Fargate-vCPU%%' THEN 'vCPU per hour'
      END AS case_line_item_usage_type,
      CASE line_item_line_item_type
        WHEN 'SavingsPlanCoveredUsage' THEN
          CASE savings_plan_offering_type
            WHEN 'ComputeSavingsPlans' THEN 'Compute Savings Plans'
            ELSE savings_plan_offering_type
          END
        WHEN 'SavingsPlanNegation' THEN
          CASE savings_plan_offering_type
            WHEN 'ComputeSavingsPlans' THEN 'Compute Savings Plans'
            ELSE savings_plan_offering_type
          END
        ELSE
          CASE pricing_term
            WHEN 'OnDemand' THEN 'OnDemand'
            WHEN '' THEN 'Spot Instance'
            ELSE pricing_term
          END
      END AS case_pricing_term,
      SUM(CAST(line_item_usage_amount AS double)) AS sum_line_item_usage_amount,
      SUM(CASE pricing_term
        WHEN 'OnDemand' THEN line_item_unblended_cost
        WHEN '' THEN line_item_unblended_cost
        END) AS sum_line_item_unblended_cost,
      SUM(CASE
        WHEN ("line_item_line_item_type" = 'SavingsPlanCoveredUsage') THEN "savings_plan_savings_plan_effective_cost"
        WHEN ("line_item_line_item_type" = 'SavingsPlanRecurringFee') THEN ("savings_plan_total_commitment_to_date" - "savings_plan_used_commitment")
        WHEN ("line_item_line_item_type" = 'SavingsPlanNegation') THEN 0
        WHEN ("line_item_line_item_type" = 'SavingsPlanUpfrontFee') THEN 0
        WHEN ("line_item_line_item_type" = 'DiscountedUsage') THEN "reservation_effective_cost"
          ELSE "line_item_unblended_cost" END) "amortized_cost"
      FROM
        ${table_name}
      WHERE
        ${date_filter}
        AND line_item_product_code in ('AmazonECS')
        AND line_item_operation != 'ECSTask-EC2'
        AND product_product_family != 'Data Transfer'
        AND line_item_line_item_type  in ('DiscountedUsage', 'Usage', 'SavingsPlanCoveredUsage')
      GROUP BY
        bill_payer_account_id,
        line_item_usage_account_id,
        3,
        4,
        5,
        6
      ORDER BY
        day_line_item_usage_start_date ASC,
        case_pricing_term,
        sum_line_item_usage_amount DESC;

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CUR queries are provided as is. We recommend validating your data by comparing it against your monthly bill and Cost Explorer prior to making any financial decisions. If you wish to provide feedback on these queries, there is an error, or you want to make a suggestion, please email: curquery@amazon.com