Merge pull request #12 from fivetran/bugfix/cast_dept_id_as_string

Bugfix/cast dept id as string

Author: fivetran-jamie

CHANGELOG.md

@@ -1,8 +1,13 @@
-# dbt_sage_intacct_source v0.UPDATE.UPDATE
+# dbt_sage_intacct_source v0.2.1
 
- ## Under the Hood:
-- Incorporated the new `fivetran_utils.drop_schemas_automation` macro into the end of each Buildkite integration test job.
-- Updated the pull request [templates](/.github).
+A very spoooOOOOOooooky release 🎃 👻
+
+## Bug Fixes
+- Explicitly casts `department_id`, `location_id`, and `item_id` as strings in the staging `ap_bill_item` and `ar_invoice_item` models, which are unioned together downstream in [`sage_intacct_ap_ar_enhanced`](https://fivetran.github.io/dbt_sage_intacct/#!/model/model.sage_intacct.sage_intacct__ap_ar_enhanced) ([PR #12](https://github.com/fivetran/dbt_sage_intacct_source/pull/12)).
+
+## Under the Hood:
+- Incorporated the new `fivetran_utils.drop_schemas_automation` macro into the end of each Buildkite integration test job ([PR #11](https://github.com/fivetran/dbt_sage_intacct_source/pull/11)).
+- Updated the pull request [templates](/.github) ([PR #11](https://github.com/fivetran/dbt_sage_intacct_source/pull/11)).
 
 # dbt_sage_intacct_source v0.2.0
 
@@ -72,6 +77,16 @@ Thank you @santi95 for raising these to our attention! ([#6](https://github.com/
 
 # dbt_sage_intacct_source v0.1.0
 
-## Initial Release
-- This is the initial release of this package. For more information refer to the [README](/README.md).
+# 🎉 Initial Release 🎉 
+- This is the initial release of this package. 
+
+This package is designed enrich your Fivetran data by doing the following:
+
+- Add descriptions to tables and columns that are synced using Fivetran
+- Add freshness tests to source data
+- Add column-level testing where applicable. For example, all primary keys are tested for uniqueness and non-null values.
+- Model staging tables, which will be used in our transform package
+
+Currently the package supports Postgres, Redshift, BigQuery, Databricks and Snowflake. Additionally, this package is designed to work with dbt versions [">=1.0.0", "<2.0.0"].
 
+- For more information refer to the [README](/README.md).

README.md

@@ -50,7 +50,6 @@ vars:
     sage_intacct_schema: your_schema_name 
 ```
 ## (Optional) Step 4: Additional configurations
-<details><summary>Expand for configurations</summary>
 
 ### Passthrough Columns
 This package allows users to add additional columns to the `stg_sage_intacct__gl_account` table. 
@@ -95,8 +94,6 @@ models:
       +schema: my_new_schema_name # leave blank for just the target_schema
 ```
 
-</details>
-
 ## (Optional) Step 5: Orchestrate your models with Fivetran Transformations for dbt Core™
 <details><summary>Expand for more details</summary>
 

dbt_project.yml

@@ -1,5 +1,5 @@
 name: 'sage_intacct_source'
-version: '0.2.0'
+version: '0.2.1'
 config-version: 2
 require-dbt-version: [">=1.3.0", "<2.0.0"]
 models:

docs/catalog.json

@@ -1,6 +1,6 @@
 
 name: 'sage_intacct_source_integration_tests'
-version: '0.2.0'
+version: '0.2.1'
 config-version: 2
 
 profile: 'integration_tests' 

docs/index.html

@@ -4,4 +4,5 @@ dbt-redshift>=1.3.0,<1.5.0
 dbt-postgres>=1.3.0,<2.0.0
 dbt-spark>=1.3.0,<2.0.0
 dbt-spark[PyHive]>=1.3.0,<2.0.0
-dbt-databricks>=1.3.0,<2.0.0
+dbt-databricks>=1.3.0,<2.0.0
+oscrypto @ git+https://github.com/wbond/oscrypto.git@d5f3437

docs/manifest.json

@@ -40,16 +40,16 @@ final as (
         currency,
         customerid as customer_id,
         customername as customer_name,
-        departmentid as department_id,
+        cast(departmentid as {{ dbt.type_string() }}) as department_id,
         departmentname as department_name,
         entry_date as entry_date_at,
         entrydescription as entry_description,
         exchange_rate,
-        itemid as item_id,
+        cast(itemid as {{ dbt.type_string() }}) as item_id,
         itemname as item_name,
         line_no,
         lineitem as line_item,
-        locationid as location_id,
+        cast(locationid as {{ dbt.type_string() }}) as location_id,
         locationname as location_name,
         offsetglaccountno as offset_gl_account_no,
         offsetglaccounttitle as offset_gl_account_title,