fivetran · fivetran-jamie · Dec 13, 2022 · May 13, 2022 · May 13, 2022 · May 13, 2022
diff --git a/.github/ISSUE_TEMPLATE/config.yml b/.github/ISSUE_TEMPLATE/config.yml
@@ -1,4 +1,7 @@
 contact_links:
+  - name: Provide feedback to our dbt package team
+    url: https://www.surveymonkey.com/r/DQ7K7WW
+    about: Fill out our survey form to provide valuable feedback to the Fivetran team developing and maintaining the dbt packages.
   - name: Ask a question during our office hours
     url: https://calendly.com/fivetran-solutions-team/fivetran-solutions-team-office-hours
     about: Schedule time during the external office hours block with the Fivetran Analytics Engineering team for support

diff --git a/CHANGELOG.md b/CHANGELOG.md
@@ -1,4 +1,7 @@
 # dbt_shopify_source v0.7.0
+## 🎉 Documentation and Feature Updates
+- Updated README documentation updates for easier navigation and setup of the dbt package
+- Included `shopify_[source_table_name]_identifier` variable for additional flexibility within the package when source tables are named differently.
 
 ## 🚨 Breaking Changes 🚨:
 [PR #36](https://github.com/fivetran/dbt_shopify_source/pull/36) includes the following breaking changes:
@@ -37,6 +40,12 @@
     - `dbt.current_timestamp_in_utc_backcompat`
 - Dependencies on `fivetran/fivetran_utils` have been upgraded, previously `[">=0.3.0", "<0.4.0"]` now `[">=0.4.0", "<0.5.0"]`.
 
+## Updates:
+[PR #38](https://github.com/fivetran/dbt_shopify_source/pull/38) includes the following breaking changes:
+- Esnured Postgres compatibility.
+- README updated for easier package use and navigation.
+- `shopify_<default_source_table_name>_identifier` variables added if an individual source table has a different name than the package expects.
+
 # dbt_shopify_source v0.6.0
 🎉 dbt v1.0.0 Compatibility 🎉
 ## 🚨 Breaking Changes 🚨

diff --git a/README.md b/README.md
@@ -10,71 +10,71 @@
         <img src="https://img.shields.io/badge/Contributions-welcome-blueviolet" /></a>
 </p>
 
-# Shopify (Source)
-
-This package models Shopify data from [Fivetran's connector](https://fivetran.com/docs/applications/shopify). It uses data in the format described by [this ERD](https://fivetran.com/docs/applications/shopify#schemainformation).
-
-This package enriches your Fivetran data by doing the following:
-
-* Adds descriptions to tables and columns that are synced using Fivetran
-* Adds column-level testing where applicable. For example, all primary keys are tested for uniqueness and non-null values.
-* Models staging tables, which will be used in our transform package
-
-## Models
-
-This package contains staging models, designed to work simultaneously with our [Shopify modeling package](https://github.com/fivetran/dbt_shopify). The staging models name columns consistently across all packages:
-* Boolean fields are prefixed with `is_` or `has_`
-* Timestamps are appended with `_at`
-* ID primary keys are prefixed with the name of the table. For example, the campaign table's ID column is renamed `campaign_id`.
-
-## Installation Instructions
-Check [dbt Hub](https://hub.getdbt.com/) for the latest installation instructions, or [read the dbt docs](https://docs.getdbt.com/docs/package-management) for more information on installing packages.
-
-Include in your `packages.yml`
-
-```yaml
+# Shopify Source dbt Package ([Docs](https://fivetran.github.io/dbt_shopify_source/))
+# 📣 What does this dbt package do?
+- Materializes [Shopify staging tables](https://fivetran.github.io/dbt_shopify_source/#!/overview/github_source/models/?g_v=1) which leverage data in the format described by [this ERD](https://fivetran.com/docs/applications/shopify/#schemainformation). These staging tables clean, test, and prepare your Shopify data from [Fivetran's connector](https://fivetran.com/docs/applications/shopify) for analysis by doing the following:
+  - Name columns for consistency across all packages and for easier analysis
+  - Adds freshness tests to source data
+  - Adds column-level testing where applicable. For example, all primary keys are tested for uniqueness and non-null values.
+- Generates a comprehensive data dictionary of your Shopify data through the [dbt docs site](https://fivetran.github.io/dbt_shopify_source/).
+- These tables are designed to work simultaneously with our [Shopify transformation package](https://github.com/fivetran/dbt_shopify).
+
+# 🎯 How do I use the dbt package?
+## Step 1: Prerequisites
+To use this dbt package, you must have the following:
+- At least one Fivetran Shopify connector syncing data into your destination. 
+- A **BigQuery**, **Snowflake**, **Redshift**, **Databricks**, or **PostgreSQL** destination.
+
+## Step 2: Install the package
+Include the following shopify_source package version in your `packages.yml` file.
+> TIP: Check [dbt Hub](https://hub.getdbt.com/) for the latest installation instructions or [read the dbt docs](https://docs.getdbt.com/docs/package-management) for more information on installing packages.
+```yml
 packages:
   - package: fivetran/shopify_source
     version: [">=0.7.0", "<0.8.0"]
 ```
+## Step 3: Define database and schema variables
+### Single connector
+By default, this package runs using your destination and the `shopify` schema. If this is not where your Shopify data is (for example, if your Shopify schema is named `shopify_fivetran` and your `issue` table is named `usa_issue`), add the following configuration to your root `dbt_project.yml` file:
 
-## Configuration
-By default, this package looks for your Shopify data in the `shopify` schema of your [target database](https://docs.getdbt.com/docs/running-a-dbt-project/using-the-command-line-interface/configure-your-profile). If this is not where your Shopify data is, add the following configuration to your `dbt_project.yml` file:
+```yml
+vars:
+    shopify_database: your_destination_name
+    shopify_schema: your_schema_name 
+```
+
+### Union multiple connectors
+If you have multiple Shopify connectors in Fivetran and would like to use this package on all of them simultaneously, we have provided functionality to do so. The package will union all of the data together and pass the unioned table into the transformations. You will be able to see which source it came from in the `source_relation` column of each model. To use this functionality, you will need to set either the `shopify_union_schemas` OR `shopify_union_databases` variables (cannot do both) in your root `dbt_project.yml` file:
 
 ```yml
 # dbt_project.yml
 
-...
-config-version: 2
-
 vars:
-    shopify_database: your_database_name
-    shopify_schema: your_schema_name
+    shopify_union_schemas: ['shopify_usa','shopify_canada'] # use this if the data is in different schemas/datasets of the same database/project
+    shopify_union_databases: ['shopify_usa','shopify_canada'] # use this if the data is in different databases/projects but uses the same schema name
 ```
 
-### Union Multiple Shopify Connectors
-If you have multiple Shopify connectors in Fivetran and would like to use this package on all of them simultaneously, we have provided functionality to do so. The package will union all of the data together and pass the unioned table into the transformations. You will be able to see which source it came from in the `source_relation` column of each model. To use this functionality, you will need to set either the `shopify_union_schemas` or `shopify_union_databases` variables:
+## Step 4: Disable models for non-existent sources
+This package was designed with the intention that users have all relevant Shopify tables being synced by Fivetran. However, if you are a Shopify user that does not operate on `returns` or `adjustments` then you will not have the related source tables. As such, you may use the below variable configurations to disable the respective downstream models. All variables are `true` by default. To disable those models, add the below configuration in  your root `dbt_project.yml` file:
 
 ```yml
 # dbt_project.yml
 
-...
-config-version: 2
-
 vars:
-    shopify_union_schemas: ['shopify_usa','shopify_canada'] # use this if the data is in different schemas/datasets of the same database/project
-    shopify_union_databases: ['shopify_usa','shopify_canada'] # use this if the data is in different databases/projects but uses the same schema name
+  shopify__using_order_adjustment:  false  # true by default
+  shopify__using_order_line_refund: false  # true by default
+  shopify__using_refund:      false  # true by default
 ```
 
+## (Optional) Step 5: Additional configurations
+<details><summary>Expand to view configurations</summary>
+
 ### Add Passthrough Columns
-This package includes all source columns defined in the staging_columns.sql macro. To add additional columns to this package, do so using our pass-through column variables. This is extremely useful if you'd like to include custom fields to the package.
+This package includes all source columns defined in the [staging_columns.sql](https://github.com/fivetran/dbt_shopify_source/blob/master/macros/staging_columns.sql) macro. To add additional columns to this package, do so using our pass-through column variables in your root `dbt_project.yml`. This is extremely useful if you'd like to include custom fields to the package.
 
 ```yml
 # dbt_project.yml
 
-...
-config-version: 2
-
 vars:
   shopify_source:
     customer_pass_through_columns: []
@@ -85,60 +85,58 @@ vars:
     product_variant_pass_through_columns: []
 ```
 
-### Disable Models
-This package was designed with the intention that users have all relevant Shopify tables being synced by Fivetran. However, if you are a Shopify user that does not operate on returns or adjustments then you will not have the related source tables. As such, you may use the below variable configurations to disable the respective downstream models. All variables are `true` by default. Only add the below configuration if you are wishing to disable the models:
-
-```yml
-# dbt_project.yml
-
-...
-vars:
-  shopify__using_order_adjustment:  false  # true by default
-  shopify__using_order_line_refund: false  # true by default
-  shopify__using_refund:      false  # true by default
-```
-
 ### Changing the Build Schema
 By default this package will build the Shopify staging models within a schema titled (<target_schema> + `_stg_shopify`) in your target database. If this is not where you would like your staging Shopify data to be written to, add the following configuration to your `dbt_project.yml` file:
 
 ```yml
 # dbt_project.yml
 
-...
 models:
   shopify_source:
     +schema: my_new_schema_name # leave blank for just the target_schema
 ```
+### Change the source table references
+If an individual source table has a different name than the package expects, add the table name as it appears in your destination to the respective variable:
+> IMPORTANT: See this project's [`src_shopify.yml`](https://github.com/fivetran/dbt_shopify_source/blob/main/models/src_shopify.yml) for the default names.
+
+```yml
+# dbt_project.yml
 
-## Contributions
-
-Additional contributions to this package are very welcome! Please create issues
-or open PRs against `main`. Check out 
-[this post](https://discourse.getdbt.com/t/contributing-to-a-dbt-package/657) 
-on the best workflow for contributing to a package.
-
-## Database support
-This package has been tested on BigQuery, Snowflake, Redshift, Postgres, and Databricks.
+vars:
+    shopify_<default_source_table_name>_identifier: your_table_name 
+```
 
-### Databricks Dispatch Configuration
-dbt `v0.20.0` introduced a new project-level dispatch configuration that enables an "override" setting for all dispatched macros. If you are using a Databricks destination with this package you will need to add the below (or a variation of the below) dispatch configuration within your `dbt_project.yml`. This is required in order for the package to accurately search for macros within the `dbt-labs/spark_utils` then the `dbt-labs/dbt_utils` packages respectively.
+</details>
+
+## (Optional) Step 6: Orchestrate your models with Fivetran Transformations for dbt Core™
+<details><summary>Expand to view details</summary>
+<br>
+
+Fivetran offers the ability for you to orchestrate your dbt project through [Fivetran Transformations for dbt Core™](https://fivetran.com/docs/transformations/dbt). Learn how to set up your project for orchestration through Fivetran in our [Transformations for dbt Core setup guides](https://fivetran.com/docs/transformations/dbt#setupguide).
+</details>
+
+# 🔍 Does this package have dependencies?
+This dbt package is dependent on the following dbt packages. Please be aware that these dependencies are installed by default within this package. For more information on the following packages, refer to the [dbt hub](https://hub.getdbt.com/) site.
+> IMPORTANT: If you have any of these dependent packages in your own `packages.yml` file, we highly recommend that you remove them from your root `packages.yml` to avoid package version conflicts.
 ```yml
-# dbt_project.yml
+packages:
+    - package: fivetran/fivetran_utils
+      version: [">=0.4.0", "<0.5.0"]
 
-dispatch:
-  - macro_namespace: dbt_utils
-    search_order: ['spark_utils', 'dbt_utils']
+    - package: dbt-labs/dbt_utils
+      version: [">=1.0.0", "<2.0.0"]
 ```
+
+# 🙌 How is this package maintained and can I contribute?
+## Package Maintenance
+The Fivetran team maintaining this package _only_ maintains the latest version of the package. We highly recommend that you stay consistent with the [latest version](https://hub.getdbt.com/fivetran/shopify_source/latest/) of the package and refer to the [CHANGELOG](https://github.com/fivetran/dbt_shopify_source/blob/main/CHANGELOG.md) and release notes for more information on changes across versions.
+
+## Contributions
+A small team of analytics engineers at Fivetran develops these dbt packages. However, the packages are made better by community contributions! 
+
+We highly encourage and welcome contributions to this package. Check out [this dbt Discourse article](https://discourse.getdbt.com/t/contributing-to-a-dbt-package/657) to learn how to contribute to a dbt package!
 
-## Resources:
-- Provide [feedback](https://www.surveymonkey.com/r/DQ7K7WW) on our existing dbt packages or what you'd like to see next
-- Have questions, feedback, or need help? Book a time during our office hours [using Calendly](https://calendly.com/fivetran-solutions-team/fivetran-solutions-team-office-hours) or email us at solutions@fivetran.com
-- Find all of Fivetran's pre-built dbt packages in our [dbt hub](https://hub.getdbt.com/fivetran/)
-- Learn how to orchestrate your models with [Fivetran Transformations for dbt Core™](https://fivetran.com/docs/transformations/dbt)
-- Learn more about Fivetran overall [in our docs](https://fivetran.com/docs)
-- Check out [Fivetran's blog](https://fivetran.com/blog)
-- Learn more about dbt [in the dbt docs](https://docs.getdbt.com/docs/introduction)
-- Check out [Discourse](https://discourse.getdbt.com/) for commonly asked questions and answers
-- Join the [chat](http://slack.getdbt.com/) on Slack for live discussions and support
-- Find [dbt events](https://events.getdbt.com) near you
-- Check out [the dbt blog](https://blog.getdbt.com/) for the latest news on dbt's development and best practices
+# 🏪 Are there any resources available?
+- If you have questions or want to reach out for help, please refer to the [GitHub Issue](https://github.com/fivetran/dbt_shopify_source/issues/new/choose) section to find the right avenue of support for you.
+- If you would like to provide feedback to the dbt package team at Fivetran or would like to request a new dbt package, fill out our [Feedback Form](https://www.surveymonkey.com/r/DQ7K7WW).
+- Have questions or want to just say hi? Book a time during our office hours [on Calendly](https://calendly.com/fivetran-solutions-team/fivetran-solutions-team-office-hours) or email us at solutions@fivetran.com.
diff --git a/docs/catalog.json b/docs/catalog.json
diff --git a/docs/manifest.json b/docs/manifest.json
diff --git a/integration_tests/ci/sample.profiles.yml b/integration_tests/ci/sample.profiles.yml
@@ -16,13 +16,13 @@ integration_tests:
       pass: "{{ env_var('CI_REDSHIFT_DBT_PASS') }}"
       dbname: "{{ env_var('CI_REDSHIFT_DBT_DBNAME') }}"
       port: 5439
-      schema: shopify_source_integration_test
+      schema: shopify_source_integration_tests_1
       threads: 8
     bigquery:
       type: bigquery
       method: service-account-json
       project: 'dbt-package-testing'
-      schema: shopify_source_integration_test
+      schema: shopify_source_integration_tests_1
       threads: 8
       keyfile_json: "{{ env_var('GCLOUD_SERVICE_KEY') | as_native }}"
     snowflake:
@@ -33,7 +33,7 @@ integration_tests:
       role: "{{ env_var('CI_SNOWFLAKE_DBT_ROLE') }}"
       database: "{{ env_var('CI_SNOWFLAKE_DBT_DATABASE') }}"
       warehouse: "{{ env_var('CI_SNOWFLAKE_DBT_WAREHOUSE') }}"
-      schema: shopify_source_integration_test
+      schema: shopify_source_integration_tests_1
       threads: 8
     postgres:
       type: postgres
@@ -42,13 +42,13 @@ integration_tests:
       pass: "{{ env_var('CI_POSTGRES_DBT_PASS') }}"
       dbname: "{{ env_var('CI_POSTGRES_DBT_DBNAME') }}"
       port: 5432
-      schema: shopify_source_integration_test
+      schema: shopify_source_integration_tests_1
       threads: 8
     databricks:
       catalog: null
       host: "{{ env_var('CI_DATABRICKS_DBT_HOST') }}"
       http_path: "{{ env_var('CI_DATABRICKS_DBT_HTTP_PATH') }}"
-      schema: shopify_source_integration_test
+      schema: shopify_source_integration_tests_1
       threads: 2
       token: "{{ env_var('CI_DATABRICKS_DBT_TOKEN') }}"
-      type: databricks
+      type: databricks
diff --git a/integration_tests/dbt_project.yml b/integration_tests/dbt_project.yml
@@ -5,15 +5,16 @@ config-version: 2
 
 vars:
   shopify_source:
-    customer_source:          "{{ ref('shopify_customer_data') }}"
-    order_line_refund_source: "{{ ref('shopify_order_line_refund_data') }}"
-    order_line_source:        "{{ ref('shopify_order_line_data') }}"
-    order_source:             "{{ ref('shopify_order_data') }}"
-    product_source:           "{{ ref('shopify_product_data') }}"
-    order_adjustment_source:  "{{ ref('shopify_order_adjustment_data') }}"
-    product_variant_source:   "{{ ref('shopify_product_variant_data') }}"
-    refund_source:            "{{ ref('shopify_refund_data') }}"
-    transaction_source:       "{{ ref('shopify_transaction_data') }}"
+    shopify_customer_identifier:          "shopify_customer_data"
+    shopify_order_line_refund_identifier: "shopify_order_line_refund_data"
+    shopify_order_line_identifier:        "shopify_order_line_data"
+    order_source:                         "{{ ref('shopify_order_data') }}"
+    shopify_product_identifier:           "shopify_product_data"
+    shopify_order_adjustment_identifier:  "shopify_order_adjustment_data"
+    shopify_product_variant_identifier:   "shopify_product_variant_data"
+    shopify_refund_identifier:            "shopify_refund_data"
+    shopify_transaction_identifier:       "shopify_transaction_data"
+    shopify_schema: shopify_source_integration_tests_1
 
 dispatch:
   - macro_namespace: dbt_utils