---
title: "使用 dbt 分析 OceanBase 数据 - OB Cloud 云数据库 master | OceanBase 文档中心"
description: 使用 dbt 分析 OceanBase 数据 dbt （data build tool）是一款开源数据转换工具，能够通过 SQL 实现数据转化，将命令转化为表或者视图。本文介绍如何使用 dbt-oceanbase，通过 dbt 分析 OceanBase 数据库中的数据。 前提条件 在使用 dbt 之前，确保您已安装 …
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---
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# 使用 dbt 分析 OceanBase 数据

更新时间：2026-06-01 17:31:55

dbt （data build tool）是一款开源数据转换工具，能够通过 SQL 实现数据转化，将命令转化为表或者视图。本文介绍如何使用 dbt-oceanbase，通过 dbt 分析 OceanBase 数据库中的数据。

## 前提条件

在使用 dbt 之前，确保您已安装 dbt-oceanbase。

## 安装 dbt-oceanbase

dbt-oceanbase 暂时未发到 PyPI，因此您要从仓库安装，发布之后即可通过 pip 安装。使用以下命令，安装 dbt-oceanbase：

```shell
git clone https://github.com/oceanbase/dbt-oceanbase.git --branch dev/1.0.x
cd dbt-oceanbase
pip3 install .

```

#### 说明

安装 dbt-oceanbase 时会自动安装 dbt-core。

使用以下命令，查看已安装的 dbt 版本：

```shell
pip list|grep dbt

dbt-adapters 1.3.1
dbt-common 1.4.0
dbt-core 1.8.3
dbt-extractor 0.5.1
dbt-oceanbase 1.0.0
dbt-semantic-interfaces 0.5.1

```

预期返回结果：

```shell
dbt-adapters                1.3.1
dbt-common                  1.4.0
dbt-core                    1.8.3
dbt-extractor               0.5.1
dbt-oceanbase               1.0.0
dbt-semantic-interfaces     0.5.1

```

## 配置项目

在当前目录下，使用以下命令，初始化新项目：

```shell
dbt init dbtexample

```

然后根据提示填写 OceanBase 数据库的连接信息。

预期返回结果：

```shell
06:00:31  Running with dbt=1.8.3
06:00:31  Your new dbt project "dbtexample" was created!

For more information on how to configure the profiles.yml file,
please consult the dbt documentation here:

https://docs.getdbt.com/docs/configure-your-profile

One more thing:

Need help? Don't hesitate to reach out to us via GitHub issues or on Slack:

https://community.getdbt.com/

Happy modeling!

06:00:31  Setting up your profile.
Which database would you like to use?
[1] oceanbase_mysql

(Don't see the one you want? https://docs.getdbt.com/docs/available-adapters)

Enter a number: 1
host (hostname for the instance): xx.xxx.xxx.xx
port: 2503
user (username@tenant#cluster): username@tenant#cluster
pass (password):
database (default database that dbt will build objects in): test
threads (1 or more) [1]:
06:02:20  Profile dbtexample written to /Users/username/.dbt/profiles.yml using target's profile_template.yml and your supplied values. Run 'dbt debug' to validate the connection.

```

填写完成后，使用以下命令，验证 dbt 连接：

```shell
dbt debug

```

预期返回结果：

```shell
06:02:35 Running with dbt=1.8.3
06:02:35 dbt version: 1.8.3
06:02:35 python version: 3.11.5
06:02:35 python path: /Users/username/miniconda3/bin/python
06:02:35 os info: macOS-14.2.1-arm64-arm-64bit
06:02:35 Using profiles dir at /Users/username/.dbt
06:02:35 Using profiles.yml file at /Users/username/.dbt/profiles.yml
06:02:35 Using dbt_project.yml file at /Users/username/projects/dbtexample/dbt_project.yml
06:02:35 adapter type: oceanbase_mysql
06:02:35 adapter version: 1.0.0
06:02:35 Configuration:
06:02:35   profiles.yml file [OK found and valid]
06:02:35   dbt_project.yml file [OK found and valid]
06:02:35 Required dependencies:
06:02:35  - git [OK found]

06:02:35 Connection:
06:02:35   host: xx.xxx.xxx.xx
06:02:35   port: 2503
06:02:35   user: username
06:02:35   retries: 1
06:02:35   schema: test
06:02:35   database: test
06:02:35 Registered adapter: oceanbase_mysql=1.0.0
06:02:36  Connection test: [OK connection ok]

06:02:36 All checks passed!

```

## 准备测试数据

使用以下命令，从 dbt 官网下载示例数据：

```shell
wget https://dbt-tutorial-public.s3-us-west-2.amazonaws.com/jaffle_shop_customers.csv
wget https://dbt-tutorial-public.s3-us-west-2.amazonaws.com/jaffle_shop_orders.csv
wget https://dbt-tutorial-public.s3-us-west-2.amazonaws.com/stripe_payments.csv

```

将数据放到 `dbtexample/seeds/` 目录。

使用以下命令，导入数据：

```shell
dbt seed

```

（可选）使用以下命令，移除没用的 `models/example`：

```shell
# optional
rm -rf  models/example/

```

在 `models` 目录里新建 `customers.sql` ，写入以下内容：

```shell
{{
  config(
    materialized='view'
  )
}}

with customers as (

    select
        id as customer_id,
        first_name,
        last_name

    from jaffle_shop_customers

),

orders as (

    select
        id as order_id,
        user_id as customer_id,
        order_date,
        status

    from jaffle_shop_orders

),

customer_orders as (

    select
        customer_id,

        min(order_date) as first_order_date,
        max(order_date) as most_recent_order_date,
        count(order_id) as number_of_orders

    from orders

    group by 1

),

final as (

    select
        customers.customer_id,
        customers.first_name,
        customers.last_name,
        customer_orders.first_order_date,
        customer_orders.most_recent_order_date,
        coalesce(customer_orders.number_of_orders, 0) as number_of_orders

    from customers

    left join customer_orders using (customer_id)

)

select * from final

```

使用以下命令，自动检测 `models` 下的文件并执行：

```shell
dbt run

```

预期返回结果：

```shell
06:37:08  Running with dbt=1.8.3
06:37:08  Registered adapter: oceanbase_mysql=1.0.0
06:37:08  [WARNING]: Configuration paths exist in your dbt_project.yml file which do not apply to any resources.
There are 1 unused configuration paths:
- models.dbtexample.example
06:37:08  Found 1 model, 393 macros
06:37:08
06:37:10  Concurrency: 1 threads (target='dev')
06:37:10
06:37:10  1 of 1 START sql view model customers ........................................ [RUN]
06:37:11  1 of 1 OK created sql view model customers .............................. [SUCCESS-1 in 1.25s]
06:37:12
06:37:12  Finished running 1 view model in 0 hours 0 minutes and 3.79 seconds (3.79s).
06:37:12
06:37:12  Completed successfully
06:37:12
06:37:12  Done. PASS=1 WARN=0 ERROR=0 SKIP=0 TOTAL=1

```

可见以上命令执行成功，并创建了一个 View。您可以在 OceanBase 数据库中查看。

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