• Build DWH powered by Clickhouse and dbt
• Deploy Infrastructure as Code with Terraform and Yandex.Cloud
• Instant development with Github Codespaces
• Assignment checks with Github Actions

• Fork this repository
• Configure Developer Environment
  • Start with GitHub Codespaces
  • Use devcontainer (locally)
• Deploy Infrastructure to Yandex.Cloud with Terraform
  • Get familiar with Yandex.Cloud web UI
  • Configure yc CLI
  • Populate .env file, Set environment variables
  • Deploy using Terraform: Clickhouse
• Check database connection
  • Configure JDBC (DBeaver) connection
  • Configure dbt connection
• Deploy DWH
  • Install dbt packages
  • Stage data sources with dbt macro
  • Describe sources in sources.yml file
  • Build staging models
  • Prepare a data mart (wide table)
• Model read-optimized Data Mart
  • Turn SQL code into dbt model f_orders_stats
  • Open PR and trigger automated testing with Github Actions
• Delete cloud resources

You have got several options to set up:

Verify you are in a development container by running commands:

terraform -v

yc --version

dbt --version

If any of these commands fails printing out used software version then you are probably running it on your local machine not in a dev container!

1. Get familiar with Yandex.Cloud web UI

   We will deploy:

   • Yandex Managed Service for ClickHouse

   

2. Configure yc CLI: Getting started with the command-line interface by Yandex Cloud

   yc init

3. Populate .env file

   .env is used to store secrets as environment variables.

   Copy template file .env.template to .env file:

   cp .env.template .env

   Open file in editor and set your own values.

   ❗️ Never commit secrets to git

4. Set environment variables:

   export YC_TOKEN=$(yc iam create-token)
   export YC_CLOUD_ID=$(yc config get cloud-id)
   export YC_FOLDER_ID=$(yc config get folder-id)
   export $(xargs <.env)

5. Deploy using Terraform

   Configure YC Terraform provider:

   cp terraformrc ~/.terraformrc

   Get familiar with Cloud Infrastructure: main.tf and variables.tf

   terraform init
   terraform validate
   terraform fmt
   terraform plan
   terraform apply

   Store terraform output values as Environment Variables:

   export CLICKHOUSE_HOST=$(terraform output -raw clickhouse_host_fqdn)
   export DBT_HOST=${CLICKHOUSE_HOST}
   export DBT_USER=${CLICKHOUSE_USER}
   export DBT_PASSWORD=${TF_VAR_clickhouse_password}

   [EN] Reference: Getting started with Terraform by Yandex Cloud

   [RU] Reference: Начало работы с Terraform by Yandex Cloud

Configure JDBC (DBeaver) connection:

port=8443
socket_timeout=300000
ssl=true
sslrootcrt=<path_to_cert>

Make sure dbt can connect to your target database:

dbt debug

If any errors check ENV values are present:

env | grep DBT_

1. Install dbt packages

   dbt deps

2. Stage data sources with dbt macro

   Source data will be staged as EXTERNAL TABLES (S3) using dbt macro init_s3_sources:

   dbt run-operation init_s3_sources

   Statements will be executed one by one to avoid error:

   DB::Exception: Syntax error (Multi-statements are not allowed)
   

3. Describe sources in sources.yml file

4. Build staging models:

   dbt build -s tag:staging

   Check model configurations: engine, order_by, partition_by

5. Prepare a data mart (wide table)

   Join all the tables into one f_lineorder_flat:

   dbt build -s f_lineorder_flat

   Pay attentions to models being tested for keys being unique, not null.

Turn the following SQL into dbt model f_orders_stats:

SELECT
    toYear(O_ORDERDATE) AS O_ORDERYEAR
    , O_ORDERSTATUS
    , O_ORDERPRIORITY
    , count(DISTINCT O_ORDERKEY) AS num_orders
    , count(DISTINCT C_CUSTKEY) AS num_customers
    , sum(L_EXTENDEDPRICE * L_DISCOUNT) AS revenue
FROM -- PLEASE USE dbt's ref('') to ensure valid DAG execution!
WHERE 1=1
GROUP BY
    toYear(O_ORDERDATE)
    , O_ORDERSTATUS
    , O_ORDERPRIORITY

Make sure the tests pass:

dbt build -s f_orders_stats

If it works from your terminal, commit, open PR and trigger automated testing with Github Actions

⚠️ Attention! Always delete cloud resources after you finished!

terraform destroy