These are queries for AWS Services under the Analytics 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 usage information for Amazon Athena. The output will include detailed information about the resource id. The cost will be summed and in descending order.
Please refer to the Athena 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,
line_item_usage_type,
line_item_resource_id,
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 = 'AmazonAthena'
AND line_item_line_item_type IN ('DiscountedUsage', 'Usage', 'SavingsPlanCoveredUsage')
GROUP BY
bill_payer_account_id,
line_item_usage_account_id,
line_item_usage_start_date,
line_item_usage_type,
line_item_resource_id,
product_region,
line_item_product_code
ORDER BY
sum_line_item_unblended_cost DESC
LIMIT 20;
This query will provide daily unblended and usage information per linked account for AWS Glue. The output will include detailed information about the resource id (Glue Crawler) and API operation. The cost will be summed and in descending order.
Please refer to the Glue 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,
line_item_operation,
CASE
WHEN LOWER(line_item_operation) = 'jobrun' THEN SPLIT_PART(line_item_resource_id, 'job/', 2)
WHEN LOWER(line_item_operation) = 'crawlerrun' THEN SPLIT_PART(line_item_resource_id, 'crawler/', 2)
ELSE 'N/A'
END AS case_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 product_product_name = ('AWS Glue')
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'),
line_item_operation,
line_item_resource_id
ORDER BY
day_line_item_usage_start_date,
sum_line_item_usage_amount,
sum_line_item_unblended_cost;
This query will provide daily unblended and usage information per linked account for each Kinesis product (Amazon Kinesis, Amazon Kinesis Firehose, and Amazon Kinesis Analytics). The output will include detailed information about the resource id (Stream, Delivery Stream, etc…) and API operation. The cost will be summed and in descending order.
Please refer to the Kinesis pricing pages:
Amazon Kinesis Data Streams Pricing
Amazon Kinesis Data Firehose Pricing
Amazon Kinesis Data Analytics Pricing
Amazon Kinesis Video Streams pricing
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,':',6) AS split_line_item_resource_id,
product_product_name,
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 IN ('Amazon Kinesis','Amazon Kinesis Firehose','Amazon Kinesis Analytics','Amazon Kinesis Video')
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'),
line_item_resource_id,
product_product_name
ORDER BY
day_line_item_usage_start_date,
sum_line_item_unblended_cost DESC;
This query will provide daily unblended and amortized cost as well as usage information per linked account for Amazon Elasticsearch. The output will include detailed information about the resource id (ES Domain), 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 Elasticsearch pricing page . Please refer to this blog 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,
SPLIT_PART(line_item_resource_id,':',6) AS split_line_item_resource_id,
product_product_family,
product_instance_family,
product_instance_type,
pricing_term,
product_storage_media,
product_transfer_type,
SUM(CASE
WHEN (line_item_line_item_type = 'SavingsPlanCoveredUsage') THEN line_item_usage_amount
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 = '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
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 = 'SavingsPlanRecurringFee') THEN (-savings_plan_amortized_upfront_commitment_for_billing_period)
WHEN (line_item_line_item_type = 'RIFee') THEN (-reservation_amortized_upfront_fee_for_billing_period)
ELSE 0
END) AS sum_ri_sp_trueup,
SUM(CASE
WHEN (line_item_line_item_type = 'SavingsPlanUpfrontFee') THEN line_item_unblended_cost
WHEN ((line_item_line_item_type = 'Fee') AND (reservation_reservation_a_r_n <> '')) THEN line_item_unblended_cost
ELSE 0
END) AS sum_ri_sp_upfront_fees
FROM
${table_name}
WHERE
${date_filter}
AND product_product_name in ('Amazon Elasticsearch Service' ,'Amazon OpenSearch Service')
AND line_item_product_code = 'AmazonES'
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'),
SPLIT_PART(line_item_resource_id,':',6),
product_product_family,
product_instance_family,
product_instance_type,
pricing_term,
product_storage_media,
product_transfer_type
ORDER BY
day_line_item_usage_start_date,
product_product_family,
sum_line_item_unblended_cost DESC;
This query will provide daily unblended cost and usage information per linked account for Amazon EMR. The cost will be summed and the cost will be in descending order.
Please refer to the EMR 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_usage_type ,':',2) AS split_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 Elastic MapReduce'
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'),
line_item_usage_type,
line_item_line_item_type
ORDER BY
day_line_item_usage_start_date,
sum_line_item_usage_amount,
sum_line_item_unblended_cost DESC,
split_line_item_usage_type;
This query will provide monthly unblended and usage information per linked account for Amazon QuickSight. The output will include detailed information about the usage type and its usage amount. The cost will be summed and in descending order.
Please refer to the Amazon QuickSight 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,
CASE
WHEN LOWER(line_item_usage_type) LIKE 'qs-user-enterprise%' THEN 'Users - Enterprise'
WHEN LOWER(line_item_usage_type) LIKE 'qs-user-standard%' THEN 'Users - Standard'
WHEN LOWER(line_item_usage_type) LIKE 'qs-reader%' THEN 'Reader Usage'
WHEN LOWER(line_item_usage_type) LIKE '%spice' THEN 'SPICE'
WHEN LOWER(line_item_usage_type) LIKE '%alerts%' THEN 'Alerts'
ELSE line_item_usage_type
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 QuickSight'
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'),
4 -- refers to case_line_item_usage_type
ORDER BY
month_line_item_usage_start_date,
sum_line_item_unblended_cost DESC;
This query will provide monthly unblended and usage information per linked account for all types of Amazon MSK, including OD and Serverless. The output will include detailed information about the usage type and its usage amount. The cost will be summed and in descending order.
Please refer to the Amazon MSK pricing page .
SELECT
bill_payer_account_id,
line_item_usage_account_id,
line_item_product_code,
line_item_line_item_description,
line_item_operation,
SUM(line_item_unblended_cost) AS sum_line_item_unblended_cost
FROM
${table_name}
WHERE
${date_filter}
AND line_item_product_code = 'AmazonMSK'
AND line_item_line_item_type NOT IN ('Tax','Refund','Credit')
GROUP BY 1,2,3,4,5
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