These are queries for AWS Services under the Application Integration 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 will provide daily unblended and amortized cost as well as usage information per linked account for Amazon MQ. The output will include detailed information about the resource id (broker), usage type, and API operation. The usage amount and cost will be summed and the cost will be in descending order.
Please refer to the Amazon MQ pricing page .
This query will not run against CUR data that does not have any Amazon MQ usage.
SELECT
bill_payer_account_id,
line_item_usage_account_id,
product_broker_engine,
line_item_usage_type,
product_product_family,
pricing_unit,
pricing_term,
SPLIT_PART(line_item_usage_type, ':', 2) AS split_line_item_usage_type,
SPLIT_PART(line_item_resource_id, ':', 7) 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,
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_product_name = 'Amazon MQ'
AND line_item_line_item_type IN ('DiscountedUsage', 'Usage', 'SavingsPlanCoveredUsage')
GROUP BY
bill_payer_account_id,
line_item_usage_account_id,
product_broker_engine,
product_product_family,
pricing_unit,
pricing_term,
DATE_FORMAT((line_item_usage_start_date),'%Y-%m-%d'),
line_item_usage_type,
line_item_resource_id,
line_item_operation
ORDER BY
day_line_item_usage_start_date,
sum_line_item_unblended_cost DESC,
split_line_item_usage_type;
This query will provide daily unblended and usage information per linked account for Amazon SES. The output will include detailed information about the product family (Sending Attachments, Data Transfer, etc…) and usage type. The usage amount and cost will be summed and the cost will be in descending order.
Please refer to the Amazon SES 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_product_family,
CASE
WHEN line_item_usage_type LIKE '%%DataTransfer-In-Bytes%%' THEN 'Data Transfer GB (IN) '
WHEN line_item_usage_type LIKE '%%DataTransfer-Out-Bytes%%' THEN 'Data Transfer GB (Out)'
WHEN line_item_usage_type LIKE '%%AttachmentsSize-Bytes%%' THEN 'Attachments GB'
WHEN line_item_usage_type LIKE '%%Recipients' THEN 'Recipients'
WHEN line_item_usage_type LIKE '%%Recipients-EC2' THEN 'Recipients'
WHEN line_item_usage_type LIKE '%%Recipients-MailboxSim' THEN 'Recipients (MailboxSimulator)'
WHEN line_item_usage_type LIKE '%%Message%%' THEN 'Messages'
WHEN line_item_usage_type LIKE '%%ReceivedChunk%%' THEN 'Received Chunk'
ELSE 'Others'
END AS case_line_item_usage_type,
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_product_name = 'Amazon Simple Email Service'
AND line_item_line_item_type IN ('DiscountedUsage', 'Usage', 'SavingsPlanCoveredUsage')
GROUP BY
bill_payer_account_id,
line_item_usage_account_id,
DATE_FORMAT((line_item_usage_start_date),'%Y-%m-%d'),
product_product_family,
5 --refers to case_line_item_usage_type
ORDER BY
day_line_item_usage_start_date,
sum_line_item_usage_amount,
sum_line_item_unblended_cost DESC;
This query will provide daily unblended cost and usage information per linked account for Amazon SNS. The output will include detailed information about the product family, API Operation, and usage type. The usage amount and cost will be summed and the cost will be in descending order.
Please refer to the Amazon SNS 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,
CONCAT(product_product_family,' - ',line_item_operation) AS concat_product_product_family,
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_product_name = 'Amazon Simple Notification Service'
AND line_item_line_item_type IN ('DiscountedUsage', 'Usage', 'SavingsPlanCoveredUsage')
GROUP BY
bill_payer_account_id,
line_item_usage_account_id,
DATE_FORMAT((line_item_usage_start_date),'%Y-%m-%d'),
CONCAT(product_product_family,' - ',line_item_operation)
ORDER BY
day_line_item_usage_start_date,
sum_line_item_unblended_cost DESC;
This query will provide the top 20 daily unblended costs as well as usage information for a specified linked account for Amazon SQS. The output will include detailed information about the resource id (queue), usage type, and API operation. The cost will be summed and in descending order. This is helpful for tracking down spikes in cost for SQS usage. Cost Explorer will provide you all of this information except the resource ID. This allows your investigation to be targeted to a time range, linked account, API operation, and resource that is generating the usage.
Please refer to the Amazon SQS pricing page . Please refer to the Reducing Amazon SQS costs page and Enabling client-side buffering and request batching for Cost Optimization suggestions.
SELECT
line_item_usage_account_id,
DATE_FORMAT((line_item_usage_start_date),'%Y-%m-%d') AS day_line_item_usage_start_date,
line_item_usage_type,
line_item_operation,
line_item_resource_id,
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 = 'AWSQueueService'
AND line_item_line_item_type IN ('DiscountedUsage', 'Usage', 'SavingsPlanCoveredUsage')
GROUP BY
line_item_usage_account_id,
DATE_FORMAT((line_item_usage_start_date),'%Y-%m-%d'),
line_item_usage_type,
line_item_operation,
line_item_resource_id
ORDER BY
sum_line_item_unblended_cost DESC
LIMIT 20;
This query will provide daily unblended cost and usage information for Amazon SQS, grouped by account and operation. The operation is also grouped using product_product_family, which results in values such as “Data Transfer - Receive” and “API Request - SendMessageBatch”. Output is ordered by date, then by cost (descending). This can be used to identify specific API operations driving the most daily cost, which allows for targeted investigation into optimization opportunities.
Please refer to the Amazon SQS pricing page . Please refer to the Reducing Amazon SQS costs page and Enabling client-side buffering and request batching for Cost Optimization suggestions.
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,
CONCAT(product_product_family,' - ',line_item_operation) AS concat_product_product_family,
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 = 'AWSQueueService'
AND line_item_line_item_type IN ('DiscountedUsage', 'Usage', 'SavingsPlanCoveredUsage')
GROUP BY
bill_payer_account_id,
line_item_usage_account_id,
DATE_FORMAT((line_item_usage_start_date),'%Y-%m-%d'),
CONCAT(product_product_family,' - ',line_item_operation)
ORDER BY
day_line_item_usage_start_date,
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