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bohutang merged 1 commit into from
Nov 5, 2025
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Fix TPCH benchmark SQL links #2933

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12 changes: 6 additions & 6 deletions docs/cn/guides/80-benchmark/10-tpch.md
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Expand Up @@ -145,21 +145,21 @@ Snowflake 和 Databend Cloud 均在相似条件下进行了测试：
1. **Snowflake 数据加载**:

- 登录您的 [Snowflake 账户](https://app.snowflake.com/)。
- 创建与 TPC-H 模式对应的表。[SQL 脚本](https://github.com/databendlabs/wizard/blob/b34cc686d2e43c3e3b0b3311eac5a50e8f68afc9/benchsb/sql/snow/setup.sql#L1-L84)。
- 使用 `COPY INTO` 命令从 AWS S3 加载数据。[SQL 脚本](https://github.com/databendlabs/wizard/blob/b34cc686d2e43c3e3b0b3311eac5a50e8f68afc9/benchsb/sql/snow/setup.sql#L87-L94)。
- 创建与 TPC-H 模式对应的表。[SQL 脚本](https://github.com/databendlabs/benchmarks/blob/main/tpch-100/snowflake/setup.sql)。
- 使用 `COPY INTO` 命令从 AWS S3 加载数据。[SQL 脚本](https://github.com/databendlabs/benchmarks/blob/main/tpch-100/snowflake/setup.sql)。

2. **Databend Cloud 数据加载**:
- 登录您的 [Databend Cloud 账户](https://app.databend.com)。
- 按照 TPC-H 模式创建必要的表。[SQL 脚本](https://github.com/databendlabs/wizard/blob/b34cc686d2e43c3e3b0b3311eac5a50e8f68afc9/benchsb/sql/bend/setup.sql#L1-L84)。
- 使用类似于 Snowflake 的方法从 AWS S3 加载数据。[SQL 脚本](https://github.com/databendlabs/wizard/blob/b34cc686d2e43c3e3b0b3311eac5a50e8f68afc9/benchsb/sql/bend/setup.sql#L87-L117)。
- 按照 TPC-H 模式创建必要的表。[SQL 脚本](https://github.com/databendlabs/benchmarks/blob/main/tpch-100/databend/setup.sql)。
- 使用类似于 Snowflake 的方法从 AWS S3 加载数据。[SQL 脚本](https://github.com/databendlabs/benchmarks/blob/main/tpch-100/databend/setup.sql)。

### TPC-H 查询

1. **Snowflake 查询**:

- 登录您的 [Snowflake 账户](https://app.snowflake.com/)。
- 运行 TPC-H 查询。[SQL 脚本](https://github.com/databendlabs/wizard/blob/b34cc686d2e43c3e3b0b3311eac5a50e8f68afc9/benchsb/sql/snow/queries.sql)。
- 运行 TPC-H 查询。[SQL 脚本](https://github.com/databendlabs/benchmarks/blob/main/tpch-100/snowflake/queries.sql)。

2. **Databend Cloud 查询**:
- 登录您的 [Databend Cloud 账户](https://app.databend.com)。
- 运行 TPC-H 查询。[SQL 脚本](https://github.com/databendlabs/wizard/blob/b34cc686d2e43c3e3b0b3311eac5a50e8f68afc9/benchsb/sql/bend/queries.sql)。
- 运行 TPC-H 查询。[SQL 脚本](https://github.com/databendlabs/benchmarks/blob/main/tpch-100/databend/queries.sql)。
8 changes: 4 additions & 4 deletions docs/cn/guides/80-benchmark/20-data-ingest.md
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Expand Up @@ -115,13 +115,13 @@ Snowflake 和 Databend Cloud 都在相似的条件下进行了测试：
1. **Snowflake 数据加载**：

- 登录您的 [Snowflake 账户](https://app.snowflake.com/)。
- 创建与 TPC-H 模式对应的表。[SQL 脚本](https://github.com/databendlabs/wizard/blob/ee9b72a11ac5d977f9a81d17fa34eb47a02ef2ba/benchsb/sql/snow/setup.sql#L1-L92)。
- 使用 `COPY INTO` 命令从 AWS S3 加载数据。[SQL 脚本](https://github.com/databendlabs/wizard/blob/ee9b72a11ac5d977f9a81d17fa34eb47a02ef2ba/benchsb/sql/snow/setup.sql#L95-L102)。
- 创建与 TPC-H 模式对应的表。[SQL 脚本](https://github.com/databendlabs/benchmarks/blob/main/tpch-100/snowflake/setup.sql)。
- 使用 `COPY INTO` 命令从 AWS S3 加载数据。[SQL 脚本](https://github.com/databendlabs/benchmarks/blob/main/tpch-100/snowflake/setup.sql)。

2. **Databend Cloud 数据加载**：
- 登录您的 [Databend Cloud 账户](https://app.databend.com)。
- 根据 TPC-H 模式创建必要的表。[SQL 脚本](https://github.com/databendlabs/wizard/blob/ee9b72a11ac5d977f9a81d17fa34eb47a02ef2ba/benchsb/sql/bend/setup.sql#L1-L92)。
- 使用与 Snowflake 类似的方法从 AWS S3 加载数据。[SQL 脚本](https://github.com/databendlabs/wizard/blob/ee9b72a11ac5d977f9a81d17fa34eb47a02ef2ba/benchsb/sql/bend/setup.sql#L95-L133)。
- 根据 TPC-H 模式创建必要的表。[SQL 脚本](https://github.com/databendlabs/benchmarks/blob/main/tpch-100/databend/setup.sql)。
- 使用与 Snowflake 类似的方法从 AWS S3 加载数据。[SQL 脚本](https://github.com/databendlabs/benchmarks/blob/main/tpch-100/databend/setup.sql)。

</details>

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12 changes: 6 additions & 6 deletions docs/en/guides/80-benchmark/10-tpch.md
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Expand Up @@ -145,21 +145,21 @@ We conducted both Cold and Hot runs for query execution:
1. **Snowflake Data Load**:

- Log into your [Snowflake account](https://app.snowflake.com/).
- Create tables corresponding to the TPC-H schema. [SQL Script](https://github.com/databendlabs/wizard/blob/b34cc686d2e43c3e3b0b3311eac5a50e8f68afc9/benchsb/sql/snow/setup.sql#L1-L84).
- Use the `COPY INTO` command to load the data from AWS S3. [SQL Script](https://github.com/databendlabs/wizard/blob/b34cc686d2e43c3e3b0b3311eac5a50e8f68afc9/benchsb/sql/snow/setup.sql#L87-L94).
- Create tables corresponding to the TPC-H schema. [SQL Script](https://github.com/databendlabs/benchmarks/blob/main/tpch-100/snowflake/setup.sql).
- Use the `COPY INTO` command to load the data from AWS S3. [SQL Script](https://github.com/databendlabs/benchmarks/blob/main/tpch-100/snowflake/setup.sql).

2. **Databend Cloud Data Load**:
- Sign in to your [Databend Cloud account](https://app.databend.com).
- Create the necessary tables as per the TPC-H schema. [SQL Script](https://github.com/databendlabs/wizard/blob/b34cc686d2e43c3e3b0b3311eac5a50e8f68afc9/benchsb/sql/bend/setup.sql#L1-L84).
- Utilize a similar method to Snowflake for loading data from AWS S3. [SQL Script](https://github.com/databendlabs/wizard/blob/b34cc686d2e43c3e3b0b3311eac5a50e8f68afc9/benchsb/sql/bend/setup.sql#L87-L117).
- Create the necessary tables as per the TPC-H schema. [SQL Script](https://github.com/databendlabs/benchmarks/blob/main/tpch-100/databend/setup.sql).
- Utilize a similar method to Snowflake for loading data from AWS S3. [SQL Script](https://github.com/databendlabs/benchmarks/blob/main/tpch-100/databend/setup.sql).

### TPC-H Queries

1. **Snowflake Queries**:

- Log into your [Snowflake account](https://app.snowflake.com/).
- Run the TPC-H queries. [SQL Script](https://github.com/databendlabs/wizard/blob/b34cc686d2e43c3e3b0b3311eac5a50e8f68afc9/benchsb/sql/snow/queries.sql).
- Run the TPC-H queries. [SQL Script](https://github.com/databendlabs/benchmarks/blob/main/tpch-100/snowflake/queries.sql).

2. **Databend Cloud Queries**:
- Sign in to your [Databend Cloud account](https://app.databend.com).
- Run the TPC-H queries. [SQL Script](https://github.com/databendlabs/wizard/blob/b34cc686d2e43c3e3b0b3311eac5a50e8f68afc9/benchsb/sql/bend/queries.sql).
- Run the TPC-H queries. [SQL Script](https://github.com/databendlabs/benchmarks/blob/main/tpch-100/databend/queries.sql).
8 changes: 4 additions & 4 deletions docs/en/guides/80-benchmark/20-data-ingest.md
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Original file line number Diff line number Diff line change
Expand Up @@ -115,13 +115,13 @@ The data ingestion benchmark can be reproduced using the following steps:
1. **Snowflake Data Load**:

- Log into your [Snowflake account](https://app.snowflake.com/).
- Create tables corresponding to the TPC-H schema. [SQL Script](https://github.com/databendlabs/wizard/blob/ee9b72a11ac5d977f9a81d17fa34eb47a02ef2ba/benchsb/sql/snow/setup.sql#L1-L92).
- Use the `COPY INTO` command to load the data from AWS S3. [SQL Script](https://github.com/databendlabs/wizard/blob/ee9b72a11ac5d977f9a81d17fa34eb47a02ef2ba/benchsb/sql/snow/setup.sql#L95-L102).
- Create tables corresponding to the TPC-H schema. [SQL Script](https://github.com/databendlabs/benchmarks/blob/main/tpch-100/snowflake/setup.sql).
- Use the `COPY INTO` command to load the data from AWS S3. [SQL Script](https://github.com/databendlabs/benchmarks/blob/main/tpch-100/snowflake/setup.sql).

2. **Databend Cloud Data Load**:
- Sign in to your [Databend Cloud account](https://app.databend.com).
- Create the necessary tables as per the TPC-H schema. [SQL Script](https://github.com/databendlabs/wizard/blob/ee9b72a11ac5d977f9a81d17fa34eb47a02ef2ba/benchsb/sql/bend/setup.sql#L1-L92).
- Utilize a similar method to Snowflake for loading data from AWS S3. [SQL Script](https://github.com/databendlabs/wizard/blob/ee9b72a11ac5d977f9a81d17fa34eb47a02ef2ba/benchsb/sql/bend/setup.sql#L95-L133).
- Create the necessary tables as per the TPC-H schema. [SQL Script](https://github.com/databendlabs/benchmarks/blob/main/tpch-100/databend/setup.sql).
- Utilize a similar method to Snowflake for loading data from AWS S3. [SQL Script](https://github.com/databendlabs/benchmarks/blob/main/tpch-100/databend/setup.sql).

</details>

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