These are queries for AWS Services under the Analytics product family .
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You may need to change variables used as placeholders in your query. ${table_Name} is a common variable which needs to be replaced. Example: cur_db.cur_table
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,
SPLIT_PART(line_item_resource_id, 'crawler/', 2) AS split_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
year = '2020' AND (month BETWEEN '7' AND '9' OR month BETWEEN '07' AND '09')
AND product_product_name = ('AWS Glue')
AND line_item_line_item_type NOT IN ('Tax','Credit','Refund','EdpDiscount','Fee','RIFee')
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_unblended_cost DESC;
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
year = '2020' AND (month BETWEEN '7' AND '9' OR month BETWEEN '07' AND '09')
AND product_product_name IN ('Amazon Kinesis','Amazon Kinesis Firehose','Amazon Kinesis Analytics','Amazon Kinesis Video')
AND line_item_line_item_type NOT IN ('Tax','Credit','Refund','EdpDiscount','Fee','RIFee')
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) "usage_quantity",
sum ("line_item_unblended_cost") "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) "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) "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) "ri_sp_upfront_fees"
FROM
${table_name}
WHERE
year = '2020' AND (month BETWEEN '7' AND '9' OR month BETWEEN '07' AND '09')
AND product_product_name = 'Amazon Elasticsearch Service'
AND line_item_line_item_type NOT IN ('Tax','Credit','Refund','EdpDiscount')
GROUP BY
1,2,3,4,5,6,7,8,9,10
ORDER BY
day_line_item_usage_start_date,
product_product_family,
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
year = '2020' AND (month BETWEEN '7' AND '9' OR month BETWEEN '07' AND '09')
AND product_product_name = 'Amazon Elastic MapReduce'
AND line_item_line_item_type NOT IN ('Tax','Credit','Refund','EdpDiscount','Fee','RIFee')
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,
split_line_item_usage_type;
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