These are queries for AWS Services under the Database 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 ${date_filter}, you have multiple options. See Filtering by Date in the CUR Query Library Help section for additional details.
This query provides a breakdown of costs associated with an Aurora Global Database deployment, excluding backup costs. Output will be grouped by day, account, charge type, usage type, operation, description, and resource ID. Output will be sorted by day, then cost (descending).
Aurora Global Databases are comprised of multiple components, each of which appears as a separate line item in CUR. There is no overarching Aurora Global Database resource ID that can be used to filter query output. This means to get an accurate picture of a specific Aurora Global DB deployment, the relevant cluster and database instance resource IDs in each region where the database is replicated must be added to the WHERE filter. Placeholder variables indicated by a dollar sign and curly braces (${ }) appear where resource IDs should be inserted. Placeholder variables must be replaced before the query will run. Note that depending on your deployment model, you may need to add or remove lines from the WHERE filter as indicated.
Resource IDs can be retrieved through the console, CLI, SDK, or other tools, as normal. If you only have access to CUR, consider the simple query SELECT DISTINCT(line_item_resource_id) FROM ${table_name} WHERE line_item_product_code = 'AmazonRDS' which will turn up a list of RDS resource IDs. Even in smaller environments the number of resource IDs returned may make it challenging to identify the right resource IDs. In that case, consider adding additional columns to help differentiate and identify the correct resource, such as columns with user-defined cost allocation tags
. For example, SELECT DISTINCT(line_item_resource_id), resource_tags_user_name, resource_tags_user_cost_center FROM ${table_name} WHERE line_item_product_code = 'AmazonRDS'.
Consider the following Aurora Global DB deployment example:
In this example, the following resource IDs would be needed:
Please refer to the Amazon Aurora pricing page .
SELECT
DATE_TRUNC('day',line_item_usage_start_date) AS day_line_item_usage_start_date,
line_item_usage_account_id,
line_item_line_item_type,
line_item_usage_type,
line_item_operation,
line_item_line_item_description,
line_item_resource_id,
SUM(line_item_unblended_cost) AS sum_line_item_unblended_cost,
SUM(line_item_usage_amount) AS sum_line_item_usage_amount
FROM
${table_name}
WHERE
${date_filter}
AND (line_item_resource_id LIKE '%${primary_cluster_id}%' -- primary region cluster id in format 'cluster-xxxxxxxxxxxxxxxxxxxxxxxx'
OR line_item_resource_id LIKE '%${secondary_cluster_id_1}%' -- secondary region cluster id in format 'cluster-xxxxxxxxxxxxxxxxxxxxxxxx'
OR line_item_resource_id LIKE '%${secondary_cluster_id_n}%' -- additional secondary region cluster id. copy and paste this line once per additional region/cluster
OR line_item_resource_id LIKE '%${primary_cluster_db_instance_name_1}%' -- primary region database instance name. user defined string, e.g 'team-a-mysql-db-1'
OR line_item_resource_id LIKE '%${primary_cluster_db_instance_name_n}%' -- additional primary region database instance name. copy and paste this line once per additional instance
OR line_item_resource_id LIKE '%${secondary_cluster_db_instance_name_1}%' -- secondary region database instance name. user defined string, e.g 'team-a-mysql-db-2'. optional if running headless.
OR line_item_resource_id LIKE '%${secondary_cluster_db_instance_name_n}%' -- additional secondary region database instance name. copy and paste this line once per additional instance
)
AND line_item_usage_type NOT LIKE '%BackupUsage%'
GROUP BY
DATE_TRUNC('day', line_item_usage_start_date),
line_item_usage_account_id,
line_item_line_item_type,
line_item_usage_type,
line_item_operation,
line_item_line_item_description,
line_item_resource_id
ORDER BY
day_line_item_usage_start_date,
sum_line_item_unblended_cost DESC
;
This query will output the daily sum per resource for all RDS purchase options across all RDS usage types.
Please refer to the Amazon RDS pricing page .
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,
product_instance_type,
line_item_operation,
line_item_usage_type,
line_item_line_item_type,
pricing_term,
product_product_family,
SPLIT_PART(line_item_resource_id,':',7) AS split_line_item_resource_id,
product_database_engine,
SUM(CASE WHEN line_item_line_item_type = 'DiscountedUsage' THEN line_item_usage_amount
WHEN line_item_line_item_type = 'Usage' THEN line_item_usage_amount
ELSE 0
END) AS sum_line_item_usage_amount,
SUM(line_item_unblended_cost) AS sum_line_item_unblended_cost,
SUM(CASE WHEN line_item_line_item_type = 'DiscountedUsage' THEN reservation_effective_cost
WHEN line_item_line_item_type = 'RIFee' THEN reservation_unused_amortized_upfront_fee_for_billing_period + reservation_unused_recurring_fee
WHEN line_item_line_item_type = 'Fee' AND reservation_reservation_a_r_n <> '' THEN 0
ELSE line_item_unblended_cost
END) AS sum_amortized_cost,
SUM(CASE WHEN line_item_line_item_type = 'RIFee' THEN -reservation_amortized_upfront_fee_for_billing_period
ELSE 0
END) AS sum_ri_trueup,
SUM(CASE WHEN line_item_line_item_type = 'Fee' AND reservation_reservation_a_r_n <> '' THEN line_item_unblended_cost
ELSE 0
END) AS sum_ri_upfront_fees
FROM
${table_name}
WHERE
${date_filter}
AND product_product_name = 'Amazon Relational Database Service'
AND line_item_line_item_type IN ('DiscountedUsage', 'Usage', 'Fee', 'RIFee')
GROUP BY
bill_payer_account_id,
line_item_usage_account_id,
DATE_FORMAT((line_item_usage_start_date),'%Y-%m-%d'),
product_instance_type,
line_item_operation,
line_item_usage_type,
line_item_line_item_type,
pricing_term,
product_product_family,
SPLIT_PART(line_item_resource_id,':',7),
product_database_engine
ORDER BY
day_line_item_usage_start_date,
sum_line_item_usage_amount,
sum_amortized_cost;
This query will output the total monthly blended costs for RDS grouped by usage type and a specified tag (e.g. Environment:Test,Dev,Prod). The query can be modified to adjust the Cost dataset from Blended to Unblended by adjusting the specified cost column (line_item_blended_cost -> line_item_unblended_cost). This query would be helpful to visualize a quick monthly breakdown of cost components for RDS usage with a specific tag (Environment:Test,Dev,Prod).
Please refer to the Amazon RDS pricing page .
SELECT
line_item_usage_type,
DATE_FORMAT(line_item_usage_start_date,'%Y-%m') AS month_line_item_usage_start_date,
resource_tags_user_environment,
SUM(CAST(line_item_blended_cost AS DECIMAL(16,8))) AS sum_line_item_blended_cost
FROM
${table_name}
WHERE
${date_filter}
AND line_item_product_code='AmazonRDS'
AND resource_tags_user_environment = 'dev'
GROUP BY
line_item_usage_type,
DATE_FORMAT(line_item_usage_start_date,'%Y-%m'),
resource_tags_user_environment
HAVING
SUM(line_item_blended_cost) > 0
ORDER BY
line_item_usage_type,
month_line_item_usage_start_date,
resource_tags_user_environment;
This query will output the total daily unblended costs for RDS Instances running on AWS Outposts racks. This query will be helpful to visualize a quick breakdown of cost components for RDS usage based on instance type, database engine and deployment option (Multi vs Single-AZ).
Please refer to the Amazon RDS on Outposts pricing page .
SELECT
DATE_FORMAT((line_item_usage_start_date),'%Y-%m-%d') AS day_line_item_usage_start_date,
bill_payer_account_id,
line_item_usage_account_id,
SPLIT_PART(line_item_resource_id,':',7) AS split_line_item_resource_id,
product_instance_type,
product_database_engine,
product_deployment_option,
SUM(CAST(line_item_usage_amount AS double)) AS sum_line_item_usage_amount,
SUM(CAST(line_item_unblended_cost AS decimal(16,8))) AS sum_line_item_unblended_cost
FROM
${table_name}
WHERE
${date_filter}
AND product_location_type='AWS Outposts'
AND product_product_family='Database Instance'
AND line_item_product_code = 'AmazonRDS'
AND line_item_line_item_type IN ('Usage', 'DiscountedUsage')
GROUP BY
DATE_FORMAT((line_item_usage_start_date),'%Y-%m-%d'),
bill_payer_account_id,
line_item_usage_account_id,
line_item_resource_id,
product_instance_type,
product_database_engine,
product_deployment_option
ORDER BY
day_line_item_usage_start_date ASC,
sum_line_item_usage_amount DESC,
sum_line_item_unblended_cost DESC;
This query will output the total monthly sum per resource for all DynamoDB purchase options (including reserved capacity) across all DynamoDB usage types (including data transfer and storage costs). The unblended cost will be summed and in descending order.
Please refer to the DynamoDB pricing page .
SELECT
bill_payer_account_id,
line_item_usage_account_id,
DATE_FORMAT(line_item_usage_start_date,'%Y-%m') AS month_line_item_usage_start_date,
product_location,
SPLIT_PART(line_item_resource_id, 'table/', 2) AS line_item_resource_id,
CASE
WHEN line_item_usage_type LIKE '%CapacityUnit%' THEN 'DynamoDB Provisioned Capacity'
WHEN line_item_usage_type LIKE '%HeavyUsage%' THEN 'DynamoDB Provisioned Capacity'
WHEN line_item_usage_type LIKE '%RequestUnit%' THEN 'DynamoDB On-Demand Capacity'
WHEN line_item_usage_type LIKE '%TimedStorage%' THEN 'DynamoDB Storage'
WHEN line_item_usage_type LIKE '%TimedBackup%' THEN 'DynamoDB Backups'
WHEN line_item_usage_type LIKE '%TimedPITR%' THEN 'DynamoDB Backups'
WHEN line_item_usage_type like '%DataTransfer%'THEN 'DynamoDB Data Transfer'
ELSE 'DynamoDB Other Usage'
END AS case_line_item_usage_type,
CASE
WHEN line_item_line_item_type LIKE '%Fee' THEN 'DynamoDB Reserved Capacity'
WHEN line_item_line_item_type = 'DiscountedUsage' THEN 'DynamoDB Reserved Capacity'
ELSE 'DynamoDB Usage'
END AS case_purchase_option,
SUM(CAST(line_item_usage_amount AS DOUBLE)) AS sum_line_item_usage_amount,
SUM(CAST(line_item_blended_cost AS DECIMAL(16,8))) AS sum_line_item_blended_cost,
SUM(CAST(reservation_unused_quantity AS DOUBLE)) AS sum_reservation_unused_quantity,
SUM(CAST(reservation_unused_recurring_fee AS DECIMAL(16,8))) AS sum_reservation_unused_recurring_fee,
reservation_reservation_a_r_n
FROM
${table_name}
WHERE
{$date_filter}
AND line_item_product_code = 'AmazonDynamoDB'
AND line_item_line_item_type IN ('DiscountedUsage', 'Usage')
GROUP BY
bill_payer_account_id,
line_item_usage_account_id,
DATE_FORMAT(line_item_usage_start_date,'%Y-%m'),
product_location,
SPLIT_PART(line_item_resource_id, 'table/', 2),
6, -- refers to case_line_item_usage_type
7, -- refers to case_purchase_option
reservation_reservation_a_r_n
ORDER BY
sum_line_item_blended_cost DESC;
This query will provide daily unblended and amortized cost as well as usage information per linked account for Amazon Redshift. The output will include detailed information about the resource id (cluster name), usage type, and API operation. The usage amount and cost will be summed and the cost will be in descending order. This query includes RI and SP true up which will show any upfront fees to the account that purchased the pricing model.
Please refer to the Redshift pricing page . Please refer to the Redshift Cost Optimization Whitepaper for Cost Optimization techniques.
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,
product_instance_type,
SPLIT_PART(line_item_resource_id,':',7) AS split_line_item_resource_id,
line_item_operation,
line_item_usage_type,
line_item_line_item_type,
pricing_term,
product_usage_family,
product_product_family,
SUM(CASE
WHEN line_item_line_item_type = 'DiscountedUsage' THEN line_item_usage_amount
WHEN line_item_line_item_type = 'Usage' THEN line_item_usage_amount
ELSE 0
END) AS sum_line_item_usage_amount,
SUM(line_item_unblended_cost) AS sum_line_item_unblended_cost,
SUM(CASE
WHEN line_item_line_item_type = 'DiscountedUsage' THEN reservation_effective_cost
WHEN line_item_line_item_type = 'RIFee' THEN reservation_unused_amortized_upfront_fee_for_billing_period + reservation_unused_recurring_fee
WHEN line_item_line_item_type = 'Fee' AND reservation_reservation_a_r_n <> '' THEN 0
ELSE line_item_unblended_cost
END) AS sum_amortized_cost,
SUM(CASE
WHEN line_item_line_item_type = 'RIFee' THEN -reservation_amortized_upfront_fee_for_billing_period
ELSE 0
END) AS sum_ri_trueup,
SUM(CASE
WHEN line_item_line_item_type = 'Fee' AND reservation_reservation_a_r_n <> '' THEN line_item_unblended_cost
ELSE 0
END) AS ri_upfront_fees
FROM
${table_name}
WHERE
${date_filter}
AND product_product_name = 'Amazon Redshift'
AND line_item_line_item_type IN ('DiscountedUsage', 'Usage', 'RIFee', 'Fee')
GROUP BY
bill_payer_account_id,
line_item_usage_account_id,
DATE_FORMAT((line_item_usage_start_date),'%Y-%m-%d'),
product_instance_type,
SPLIT_PART(line_item_resource_id,':',7),
line_item_operation,
line_item_usage_type,
line_item_line_item_type,
pricing_term,
product_usage_family,
product_product_family
ORDER BY
day_line_item_usage_start_date,
product_product_family,
sum_line_item_unblended_cost DESC;
This query will output the total monthly sum per resource for all Amazon ElastiCache purchase options (including reserved instances) across all ElastiCache instances types. The unblended and amortized cost will be summed and in descending order.
Please refer to the Amazon ElastiCache pricing page .
SELECT
bill_payer_account_id,
line_item_usage_account_id,
DATE_FORMAT(line_item_usage_start_date,'%Y-%m') AS month_line_item_usage_start_date,
SPLIT_PART(line_item_resource_id,':',7) AS split_line_item_resource_id,
SPLIT_PART(line_item_usage_type ,':',2) AS split_line_item_usage_type,
CASE
WHEN line_item_line_item_type = 'DiscountedUsage' THEN 'Reserved Instance'
WHEN line_item_line_item_type = 'Usage' THEN 'OnDemand'
ELSE 'Others'
END AS case_purchase_option,
SUM(CASE
WHEN line_item_line_item_type = 'DiscountedUsage' THEN line_item_usage_amount
WHEN line_item_line_item_type = 'Usage' THEN line_item_usage_amount
ELSE 0
END) AS sum_line_item_usage_amount,
SUM(line_item_unblended_cost) AS sum_line_item_unblended_cost,
SUM(CASE
WHEN line_item_line_item_type = 'DiscountedUsage' THEN reservation_effective_cost
WHEN line_item_line_item_type = 'RIFee' THEN reservation_unused_amortized_upfront_fee_for_billing_period + reservation_unused_recurring_fee
WHEN line_item_line_item_type = 'Fee' AND reservation_reservation_a_r_n <> '' THEN 0
ELSE line_item_unblended_cost
END) AS sum_amortized_cost,
SUM(CASE
WHEN line_item_line_item_type = 'RIFee' THEN -reservation_amortized_upfront_fee_for_billing_period
ELSE 0
END) AS sum_ri_trueup,
SUM(CASE
WHEN line_item_line_item_type = 'Fee' AND reservation_reservation_a_r_n <> '' THEN line_item_unblended_cost
ELSE 0
END) AS ri_upfront_fees
FROM
${table_name}
WHERE
${date_filter}
AND product_product_name = 'Amazon ElastiCache'
AND product_product_family = 'Cache Instance'
AND line_item_line_item_type IN ('DiscountedUsage', 'Usage', 'RIFee', 'Fee')
GROUP BY
DATE_FORMAT(line_item_usage_start_date,'%Y-%m'),
bill_payer_account_id,
line_item_usage_account_id,
line_item_line_item_type,
line_item_resource_id,
line_item_usage_type
ORDER BY
month_line_item_usage_start_date,
sum_line_item_usage_amount DESC,
sum_line_item_unblended_cost;
This query will output the total daily cost per DocumentDB cluster. The output will include detailed information about the resource id (cluster name) and usage type. The unblended cost will be summed and in descending order.
Please refer to the Amazon DocumentDB pricing page .
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(line_item_resource_id,':',7) AS line_item_resource_id,
line_item_usage_type,
product_region,
line_item_product_code,
sum(CAST(line_item_usage_amount AS double)) AS sum_line_item_usage_amount,
sum(CAST(line_item_unblended_cost AS decimal(16,8))) AS sum_line_item_unblended_cost
FROM
${table_Name}
WHERE
${date_filter}
AND line_item_product_code = 'AmazonDocDB'
AND line_item_line_item_type NOT IN ('Tax','Credit','Refund','Fee','RIFee')
GROUP BY
1, -- bill_payer_account_id
2, -- line_item_usage_account_id
3, -- day_line_item_usage_start_date
4, -- line_item_resource_id
5, -- line_item_usage_type
6, -- product_region
7 -- line_item_product_code
ORDER BY
sum_line_item_unblended_cost DESC;
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