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PROMPT: What SQL query corresponds to the following purpose: 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.?
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COMPLETION: SELECT
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bill_payer_account_id,
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line_item_usage_account_id,
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DATE_FORMAT((line_item_usage_start_date),'%Y-%m-%d') AS day_line_item_usage_start_date,
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line_item_usage_type,
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line_item_resource_id,
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product_region,
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line_item_product_code,
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SUM(CAST(line_item_usage_amount AS DOUBLE)) AS sum_line_item_usage_amount,
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SUM(CAST(line_item_unblended_cost AS DECIMAL(16,8))) AS sum_line_item_unblended_cost
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FROM
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${table_name}
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WHERE
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${date_filter}
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AND line_item_product_code = 'AmazonAthena'
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AND line_item_line_item_type IN ('DiscountedUsage', 'Usage', 'SavingsPlanCoveredUsage')
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GROUP BY
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bill_payer_account_id,
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line_item_usage_account_id,
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line_item_usage_start_date,
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line_item_usage_type,
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line_item_resource_id,
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product_region,
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line_item_product_code
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ORDER BY
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sum_line_item_unblended_cost DESC
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LIMIT 20;
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PROMPT: What SQL query corresponds to the following purpose: 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.?
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COMPLETION: SELECT
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bill_payer_account_id,
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line_item_usage_account_id,
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DATE_FORMAT((line_item_usage_start_date),'%Y-%m-%d') AS day_line_item_usage_start_date,
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line_item_operation,
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CASE
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WHEN LOWER(line_item_operation) = 'jobrun' THEN SPLIT_PART(line_item_resource_id, 'job/', 2)
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WHEN LOWER(line_item_operation) = 'crawlerrun' THEN SPLIT_PART(line_item_resource_id, 'crawler/', 2)
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ELSE 'N/A'
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END AS case_line_item_resource_id,
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SUM(CAST(line_item_usage_amount AS DOUBLE)) AS sum_line_item_usage_amount,
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SUM(CAST(line_item_unblended_cost AS DECIMAL(16, 8))) AS sum_line_item_unblended_cost
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FROM
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${table_name}
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WHERE
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${date_filter}
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AND product_product_name = ('AWS Glue')
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AND line_item_line_item_type IN ('DiscountedUsage', 'Usage', 'SavingsPlanCoveredUsage')
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GROUP BY
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bill_payer_account_id,
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line_item_usage_account_id,
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DATE_FORMAT((line_item_usage_start_date),'%Y-%m-%d'),
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line_item_operation,
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line_item_resource_id
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ORDER BY
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day_line_item_usage_start_date,
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sum_line_item_usage_amount,
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sum_line_item_unblended_cost;
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PROMPT: What SQL query corresponds to the following purpose: 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.?
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COMPLETION: SELECT
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bill_payer_account_id,
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line_item_usage_account_id,
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DATE_FORMAT((line_item_usage_start_date),'%Y-%m-%d') AS day_line_item_usage_start_date,
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SPLIT_PART(line_item_resource_id,':',6) AS split_line_item_resource_id,
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product_product_name,
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SUM(CAST(line_item_usage_amount AS DOUBLE)) AS sum_line_item_usage_amount,
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SUM(CAST(line_item_unblended_cost AS DECIMAL(16, 8))) AS sum_line_item_unblended_cost
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FROM
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${table_Name}
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WHERE
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${date_filter}
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AND line_item_product_code LIKE '%Kinesis%'
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AND line_item_line_item_type IN ('DiscountedUsage', 'Usage', 'SavingsPlanCoveredUsage')
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GROUP BY
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bill_payer_account_id,
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line_item_usage_account_id,
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DATE_FORMAT((line_item_usage_start_date),'%Y-%m-%d'),
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line_item_resource_id,
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product_product_name
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ORDER BY
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day_line_item_usage_start_date,
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sum_line_item_unblended_cost DESC;
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PROMPT: What SQL query corresponds to the following purpose: 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.?
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COMPLETION: SELECT
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bill_payer_account_id,
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line_item_usage_account_id,
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DATE_FORMAT((line_item_usage_start_date),'%Y-%m-%d') AS day_line_item_usage_start_date,
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SPLIT_PART(line_item_resource_id,':',6) AS split_line_item_resource_id,
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product_product_family,
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product_instance_family,
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product_instance_type,
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pricing_term,
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product_storage_media,
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product_transfer_type,
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SUM(CASE
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