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docs/cn/tutorials/databend-cloud/aws-billing.md

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+---
+title: 分析 AWS 账单
+---
+
+在本教程中，我们将引导您完成导入 AWS 账单数据并使用 SQL 进行成本分析的过程。您将学习如何将 AWS 账单数据加载到 Databend Cloud 中，查询以找出关键成本驱动因素，并深入了解您的 AWS 使用情况。
+
+AWS 账单数据提供了您的云服务使用情况和相关成本的全面细分，可以直接从 AWS 账单控制台中的 AWS 成本和使用情况报告 (CUR) 服务以 Parquet 格式导出。在本教程中，我们将使用一个 Parquet 格式的示例数据集，可从 [https://datasets.databend.com/aws-billing.parquet](https://datasets.databend.com/aws-billing.parquet) 获取。该数据集遵循 CUR 标准，包括服务名称、使用类型和定价详情等字段。有关完整的架构参考，您可以参考 [AWS 成本和使用情况报告数据字典](https://docs.aws.amazon.com/cur/latest/userguide/data-dictionary.html)。
+
+## 步骤 1：创建目标表
+
+打开一个工作表，创建一个名为 `doc` 的数据库，然后创建一个名为 `aws_billing` 的表：
+
+```sql
+CREATE DATABASE doc;
+
+CREATE TABLE aws_billing (
+    identity_line_item_id STRING,
+    identity_time_interval STRING,
+    bill_invoice_id STRING,
+    bill_invoicing_entity STRING,
+    bill_billing_entity STRING,
+    bill_bill_type STRING,
+    bill_payer_account_id STRING,
+    bill_billing_period_start_date TIMESTAMP,
+    bill_billing_period_end_date TIMESTAMP,
+    line_item_usage_account_id STRING,
+    line_item_line_item_type STRING,
+    line_item_usage_start_date TIMESTAMP,
+    line_item_usage_end_date TIMESTAMP,
+    line_item_product_code STRING,
+    line_item_usage_type STRING,
+    line_item_operation STRING,
+    line_item_availability_zone STRING,
+    line_item_usage_amount DOUBLE,
+    line_item_normalization_factor DOUBLE,
+    line_item_normalized_usage_amount DOUBLE,
+    line_item_currency_code STRING,
+    line_item_unblended_rate STRING,
+    line_item_unblended_cost DOUBLE,
+    line_item_blended_rate STRING,
+    line_item_blended_cost DOUBLE,
+    line_item_line_item_description STRING,
+    line_item_tax_type STRING,
+    line_item_legal_entity STRING,
+    product_product_name STRING,
+    product_purchase_option STRING,
+    product_availability STRING,
+    product_availability_zone STRING,
+    product_capacitystatus STRING,
+    product_classicnetworkingsupport STRING,
+    product_clock_speed STRING,
+    product_content_type STRING,
+    product_cputype STRING,
+    product_current_generation STRING,
+    product_database_engine STRING,
+    product_dedicated_ebs_throughput STRING,
+    product_deployment_option STRING,
+    product_description STRING,
+    product_durability STRING,
+    product_ecu STRING,
+    product_endpoint_type STRING,
+    product_engine_code STRING,
+    product_enhanced_networking_supported STRING,
+    product_equivalentondemandsku STRING,
+    product_fee_code STRING,
+    product_fee_description STRING,
+    product_from_location STRING,
+    product_from_location_type STRING,
+    product_from_region_code STRING,
+    product_gpu STRING,
+    product_gpu_memory STRING,
+    product_group STRING,
+    product_group_description STRING,
+    product_instance_family STRING,
+    product_instance_type STRING,
+    product_instance_type_family STRING,
+    product_intel_avx2_available STRING,
+    product_intel_avx_available STRING,
+    product_intel_turbo_available STRING,
+    product_license_model STRING,
+    product_location STRING,
+    product_location_type STRING,
+    product_logs_destination STRING,
+    product_marketoption STRING,
+    product_max_iops_burst_performance STRING,
+    product_max_iopsvolume STRING,
+    product_max_throughputvolume STRING,
+    product_max_volume_size STRING,
+    product_memory STRING,
+    product_memory_gib STRING,
+    product_memorytype STRING,
+    product_message_delivery_frequency STRING,
+    product_message_delivery_order STRING,
+    product_min_volume_size STRING,
+    product_network_performance STRING,
+    product_normalization_size_factor STRING,
+    product_operating_system STRING,
+    product_operation STRING,
+    product_origin STRING,
+    product_physical_processor STRING,
+    product_pre_installed_sw STRING,
+    product_pricingplan STRING,
+    product_processor_architecture STRING,
+    product_processor_features STRING,
+    product_product_family STRING,
+    product_provider STRING,
+    product_purchaseterm STRING,
+    product_queue_type STRING,
+    product_recipient STRING,
+    product_region STRING,
+    product_region_code STRING,
+    product_request_type STRING,
+    product_servicecode STRING,
+    product_servicename STRING,
+    product_sku STRING,
+    product_snapshotarchivefeetype STRING,
+    product_storage STRING,
+    product_storage_class STRING,
+    product_storage_media STRING,
+    product_storage_type STRING,
+    product_subservice STRING,
+    product_tenancy STRING,
+    product_tiertype STRING,
+    product_to_location STRING,
+    product_to_location_type STRING,
+    product_to_region_code STRING,
+    product_transfer_type STRING,
+    product_type STRING,
+    product_usagetype STRING,
+    product_vcpu STRING,
+    product_version STRING,
+    product_volume_api_name STRING,
+    product_volume_type STRING,
+    product_vpcnetworkingsupport STRING,
+    pricing_lease_contract_length STRING,
+    pricing_offering_class STRING,
+    pricing_purchase_option STRING,
+    pricing_rate_code STRING,
+    pricing_rate_id STRING,
+    pricing_currency STRING,
+    pricing_public_on_demand_cost DOUBLE,
+    pricing_public_on_demand_rate STRING,
+    pricing_term STRING,
+    pricing_unit STRING,
+    reservation_amortized_upfront_cost_for_usage DOUBLE,
+    reservation_amortized_upfront_fee_for_billing_period DOUBLE,
+    reservation_effective_cost DOUBLE,
+    reservation_end_time STRING,
+    reservation_modification_status STRING,
+    reservation_normalized_units_per_reservation STRING,
+    reservation_number_of_reservations STRING,
+    reservation_recurring_fee_for_usage DOUBLE,
+    reservation_start_time STRING,
+    reservation_subscription_id STRING,
+    reservation_total_reserved_normalized_units STRING,
+    reservation_total_reserved_units STRING,
+    reservation_units_per_reservation STRING,
+    reservation_unused_amortized_upfront_fee_for_billing_period DOUBLE,
+    reservation_unused_normalized_unit_quantity DOUBLE,
+    reservation_unused_quantity DOUBLE,
+    reservation_unused_recurring_fee DOUBLE,
+    reservation_upfront_value DOUBLE,
+    savings_plan_total_commitment_to_date DOUBLE,
+    savings_plan_savings_plan_a_r_n STRING,
+    savings_plan_savings_plan_rate DOUBLE,
+    savings_plan_used_commitment DOUBLE,
+    savings_plan_savings_plan_effective_cost DOUBLE,
+    savings_plan_amortized_upfront_commitment_for_billing_period DOUBLE,
+    savings_plan_recurring_commitment_for_billing_period DOUBLE,
+    savings_plan_start_time STRING,
+    savings_plan_end_time STRING,
+    savings_plan_offering_type STRING,
+    savings_plan_payment_option STRING,
+    savings_plan_purchase_term STRING,
+    savings_plan_region STRING
+);
+```
+
+## 步骤 2：加载 AWS 账单数据集
+
+在这一步中，您只需点击几下即可将 AWS 账单数据集加载到 Databend Cloud 中。
+
+1. 在 Databend Cloud 中，选择 **概览** > **加载数据** 以启动数据加载向导。
+
+2. 选择加载数据到 **现有表**，然后选择 **从 URL 加载** 并输入数据集 URL：`https://datasets.databend.com/aws-billing.parquet`。
+
+![alt text](../../../../static/img/documents/tutorials/aws-billing-1.png)
+
+3. 选择您创建的数据库和表，然后选择一个计算集群。
+
+![alt text](../../../../static/img/documents/tutorials/aws-billing-2.png)
+
+4. 点击 **确认** 开始数据加载。
+
+## 步骤 3：使用 SQL 分析成本
+
+现在您的账单数据已经就位，您可以使用 SQL 查询来分析 AWS 账单信息。这一步提供了一些示例，以揭示您的支出并帮助您发现关键见解。
+
+以下查询识别您使用过的最昂贵的服务：
+
+```sql
+SELECT
+    product_servicename AS Service,
+    SUM(line_item_blended_cost) AS Total_Cost
+FROM aws_billing
+WHERE
+    line_item_blended_cost IS NOT NULL
+    AND product_servicename != ''
+GROUP BY product_servicename
+ORDER BY Total_Cost DESC
+LIMIT 25;
+```
+
+以下查询识别最昂贵的 AWS EC2 资源：
+
+```sql
+SELECT
+    line_item_line_item_description,
+    SUM(line_item_blended_cost) AS Total_Cost
+FROM aws_billing
+WHERE
+    product_servicename = 'Amazon Elastic Compute Cloud'
+    AND line_item_blended_cost IS NOT NULL
+    AND identity_line_item_id != ''
+GROUP BY line_item_line_item_description
+ORDER BY Total_Cost DESC
+LIMIT 25;
+```
+
+以下查询识别最昂贵的 S3 存储桶：
+
+```sql
+SELECT
+    line_item_line_item_description,
+    SUM(line_item_blended_cost) AS Cost    
+FROM aws_billing
+WHERE
+    line_item_product_code = 'AmazonS3'
+    AND line_item_line_item_description != ''
+GROUP BY line_item_line_item_description
+ORDER BY Cost DESC
+LIMIT 25;
+```
+
+以下查询识别按混合成本计算的前 25 个最昂贵的区域：
+
+```sql
+SELECT
+    product_region AS Region,
+    SUM(line_item_blended_cost) AS Total_Cost
+FROM aws_billing
+WHERE
+    line_item_blended_cost IS NOT NULL
+    AND product_region IS NOT NULL
+GROUP BY product_region
+ORDER BY Total_Cost DESC
+LIMIT 25;
+```
+
+以下查询将您的成本分类为预留实例和按需实例，以帮助您了解每种类型对您的总支出的贡献：
+
+```sql
+SELECT
+    CASE
+        WHEN reservation_amortized_upfront_cost_for_usage IS NOT NULL THEN 'Reserved Instances'
+        ELSE 'On-Demand'
+    END AS Instance_Type,
+    SUM(line_item_blended_cost) AS Total_Cost
+FROM aws_billing
+WHERE
+    line_item_blended_cost IS NOT NULL
+GROUP BY Instance_Type
+ORDER BY Total_Cost DESC;
+```