feature/databricks-delta-incremental-support

CHANGELOG.md

@@ -1,3 +1,19 @@
+# dbt_fivetran_log v1.8.0
+[PR #130](https://github.com/fivetran/dbt_fivetran_log/pull/130) includes the following updates:
+
+## 🚨 Breaking Changes 🚨
+> ⚠️ Since the following changes result in the table format changing, we recommend running a `--full-refresh` after upgrading to this version to avoid possible incremental failures.
+- For Databricks All Purpose clusters the `fivetran_platform__audit_table` model will now be materialized using the delta table format (previously parquet). 
+  - Delta tables are generally more performant than parquet and are also more widely available for Databricks users. Previously, the parquet file format was causing compilation issues on customers managed tables.
+
+## Documentation Updates
+- Updated the `sync_start` and `sync_end` field descriptions for the `fivetran_platform__audit_table` to explicitly define that these fields only represent the sync start/end times for when the connector wrote new or modified existing records to the specified table.
+
+## Under the Hood
+- The `is_databricks_sql_warehouse` macro has been renamed to `is_databricks_all_purpose` and has been modified to return `true` if the Databricks runtime being used is an all purpose cluster (previously this macro checked if a sql warehouse runtime was used).
+  - This update was applied as there have been other Databricks runtimes discovered (ie. an endpoint and external runtime) which do not support the `insert-overwrite` incremental strategy used in the `fivetran_platform__audit_table` model. 
+- In addition to the above, for Databricks users the `fivetran_platform__audit_table` model will now leverage the incremental strategy only if the Databricks runtime is all purpose. Otherwise, all other Databricks runtimes will not leverage an incremental strategy.
+
 # dbt_fivetran_log v1.7.3
 [PR #126](https://github.com/fivetran/dbt_fivetran_log/pull/126) includes the following updates:
 

README.md

@@ -69,7 +69,7 @@ Include the following Fivetran Platform package version range in your `packages.
 ```yaml
 packages:
   - package: fivetran/fivetran_log
-    version: [">=1.7.0", "<1.8.0"]
+    version: [">=1.8.0", "<1.9.0"]
 ```
 
 > Note that although the source connector is now "Fivetran Platform", the package retains the old name of "fivetran_log".

dbt_project.yml

@@ -1,6 +1,6 @@
 config-version: 2
 name: 'fivetran_log'
-version: '1.7.3'
+version: '1.8.0'
 require-dbt-version: [">=1.3.0", "<2.0.0"]
 
 models:

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: fivetran_platform_integration_tests 
+      schema: fivetran_platform_integration_tests_2 
       threads: 8
     bigquery:
       type: bigquery
       method: service-account-json
       project: 'dbt-package-testing'
-      schema: fivetran_platform_integration_tests
+      schema: fivetran_platform_integration_tests_2
       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: fivetran_platform_integration_tests
+      schema: fivetran_platform_integration_tests_2
       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: fivetran_platform_integration_tests 
+      schema: fivetran_platform_integration_tests_2 
       threads: 8
     databricks:
       catalog: "{{ env_var('CI_DATABRICKS_DBT_CATALOG') }}"
       host: "{{ env_var('CI_DATABRICKS_DBT_HOST') }}"
       http_path: "{{ env_var('CI_DATABRICKS_DBT_HTTP_PATH') }}"
-      schema: fivetran_platform_integration_tests 
+      schema: fivetran_platform_integration_tests_2 
       threads: 8
       token: "{{ env_var('CI_DATABRICKS_DBT_TOKEN') }}"
       type: databricks
@@ -66,7 +66,7 @@ integration_tests:
       server: "{{ env_var('CI_SQLSERVER_DBT_SERVER') }}"
       port: 1433
       database: "{{ env_var('CI_SQLSERVER_DBT_DATABASE') }}"
-      schema: fivetran_platform_integration_tests 
+      schema: fivetran_platform_integration_tests_2 
       user: "{{ env_var('CI_SQLSERVER_DBT_USER') }}"
       password: "{{ env_var('CI_SQLSERVER_DBT_PASS') }}"
       threads: 8

integration_tests/dbt_project.yml

@@ -1,5 +1,5 @@
 name: 'fivetran_log_integration_tests'
-version: '1.7.3'
+version: '1.8.0'
 
 config-version: 2
 profile: 'integration_tests'
@@ -10,7 +10,7 @@ dispatch:
 
 vars:
   fivetran_log:
-    fivetran_platform_schema: "fivetran_platform_integration_tests"
+    fivetran_platform_schema: "fivetran_platform_integration_tests_2"
     fivetran_platform_account_identifier: "account"
     fivetran_platform_incremental_mar_identifier: "incremental_mar"
     fivetran_platform_connector_identifier: "connector"
@@ -21,10 +21,10 @@ vars:
     fivetran_platform_log_identifier: "log"
     fivetran_platform_user_identifier: "user"
 
-
 models:
   fivetran_log:
     +schema: "{{ 'sqlw_tests' if target.name == 'databricks-sql' else 'fivetran_platform' }}"
+    # +schema: "fivetran_platform_{{ var('directed_schema','dev') }}"
 
 seeds:
   fivetran_log_integration_tests:

integration_tests/packages.yml

@@ -1,3 +1,2 @@
-
 packages:
-    - local: ../
+  - local: ../

integration_tests/tests/consistency/consistency__audit_table.sql

@@ -0,0 +1,67 @@
+
+{{ config(
+    tags="fivetran_validations",
+    enabled=var('fivetran_validation_tests_enabled', false)
+) }}
+
+with prod as (
+    select
+        connector_id,
+        table_name,
+        count(*) as total_records
+    from {{ target.schema }}_fivetran_platform_prod.fivetran_platform__audit_table
+    group by 1, 2
+),
+
+dev as (
+    select
+        connector_id,
+        table_name,
+        count(*) as total_records
+    from {{ target.schema }}_fivetran_platform_dev.fivetran_platform__audit_table
+    group by 1, 2
+),
+
+final_consistency_check as (
+    select 
+        prod.connector_id,
+        prod.table_name,
+        prod.total_records as prod_total,
+        dev.total_records as dev_total
+    from prod
+    left join dev 
+        on dev.connector_id = prod.connector_id
+        and dev.table_name = prod.table_name
+),
+
+-- Checking to ensure the dev totals match the prod totals
+consistency_check as (
+    select *
+    from final_consistency_check
+    where prod_total != dev_total
+),
+
+-- The current release changes the row count of the audit table model intentionally.
+-- The below queries prove the records that do not match are still accurate by checking the source.
+verification_staging_setup as (
+    select
+        connector_id, 
+        {{ fivetran_log.fivetran_log_json_parse(string='message_data', string_path=['table']) }} as table_name,
+        count(*) as row_count
+    from {{ target.schema }}_fivetran_platform_dev.stg_fivetran_platform__log
+    where event_subtype in ('write_to_table_start')
+    group by 1, 2
+),
+
+final_verification as (
+    select *
+    from consistency_check
+    left join verification_staging_setup
+        on consistency_check.connector_id = verification_staging_setup.connector_id
+        and consistency_check.table_name = verification_staging_setup.table_name
+    where consistency_check.dev_total != verification_staging_setup.row_count
+)
+
+select *
+from final_verification
+

integration_tests/tests/consistency/consistency__audit_user_activity.sql

@@ -0,0 +1,43 @@
+
+{{ config(
+    tags="fivetran_validations",
+    enabled=var('fivetran_validation_tests_enabled', false)
+) }}
+
+with prod as (
+    select
+        connector_id, 
+        email,
+        date_day,
+        count(*) as total_records
+    from {{ target.schema }}_fivetran_platform_prod.fivetran_platform__audit_user_activity
+    group by 1, 2, 3
+),
+
+dev as (
+    select
+        connector_id, 
+        email,
+        date_day,
+        count(*) as total_records
+    from {{ target.schema }}_fivetran_platform_dev.fivetran_platform__audit_user_activity
+    group by 1, 2, 3
+),
+
+final as (
+    select 
+        prod.connector_id,
+        prod.email,
+        prod.date_day,
+        prod.total_records as prod_total,
+        dev.total_records as dev_total
+    from prod
+    left join dev 
+        on dev.connector_id = prod.connector_id
+            and dev.email = prod.email
+            and dev.date_day = prod.date_day
+)
+
+select *
+from final
+where prod_total != dev_total

integration_tests/tests/consistency/consistency__connector_daily_events.sql

@@ -0,0 +1,43 @@
+
+{{ config(
+    tags="fivetran_validations",
+    enabled=var('fivetran_validation_tests_enabled', false)
+) }}
+
+with prod as (
+    select
+        date_day,
+        connector_id, 
+        destination_id,
+        count(*) as total_records
+    from {{ target.schema }}_fivetran_platform_prod.fivetran_platform__connector_daily_events
+    group by 1, 2, 3
+),
+
+dev as (
+    select
+        date_day,
+        connector_id, 
+        destination_id,
+        count(*) as total_records
+    from {{ target.schema }}_fivetran_platform_dev.fivetran_platform__connector_daily_events
+    group by 1, 2, 3
+),
+
+final as (
+    select 
+        prod.date_day,
+        prod.connector_id,
+        prod.destination_id,
+        prod.total_records as prod_total,
+        dev.total_records as dev_total
+    from prod
+    left join dev 
+        on dev.date_day = prod.date_day
+            and dev.connector_id = prod.connector_id
+            and dev.destination_id = prod.destination_id
+)
+
+select *
+from final
+where prod_total != dev_total

integration_tests/tests/consistency/consistency__connector_status.sql

@@ -0,0 +1,41 @@
+
+{{ config(
+    tags="fivetran_validations",
+    enabled=var('fivetran_validation_tests_enabled', false)
+) }}
+
+with prod as (
+    select
+        1 as join_key,
+        count(*) as total_records,
+        sum(number_of_schema_changes_last_month) as total_schema_changes_last_month
+    from {{ target.schema }}_fivetran_platform_prod.fivetran_platform__connector_status
+    group by 1
+),
+
+dev as (
+    select
+        1 as join_key,
+        count(*) as total_records,
+        sum(number_of_schema_changes_last_month) as total_schema_changes_last_month
+    from {{ target.schema }}_fivetran_platform_dev.fivetran_platform__connector_status
+    group by 1
+),
+
+final as (
+    select 
+        prod.join_key,
+        dev.join_key,
+        prod.total_records as prod_total,
+        dev.total_records as dev_total,
+        prod.total_schema_changes_last_month as prod_total_schema_changes,
+        dev.total_schema_changes_last_month as dev_total_schema_changes
+    from prod
+    left join dev 
+        on dev.join_key = prod.join_key
+)
+
+select *
+from final
+where prod_total != dev_total
+    or prod_total_schema_changes != dev_total_schema_changes

integration_tests/tests/consistency/consistency__mar_table_history.sql

@@ -0,0 +1,56 @@
+
+{{ config(
+    tags="fivetran_validations",
+    enabled=var('fivetran_validation_tests_enabled', false)
+) }}
+
+with prod as (
+    select
+        connector_name,
+        schema_name,
+        table_name,
+        destination_id,
+        measured_month,
+        sum(total_monthly_active_rows) as total_mar,
+        count(*) as total_records
+    from {{ target.schema }}_fivetran_platform_prod.fivetran_platform__mar_table_history
+    group by 1, 2, 3, 4, 5
+),
+
+dev as (
+    select
+        connector_name,
+        schema_name,
+        table_name,
+        destination_id,
+        measured_month,
+        sum(total_monthly_active_rows) as total_mar,
+        count(*) as total_records
+    from {{ target.schema }}_fivetran_platform_dev.fivetran_platform__mar_table_history
+    group by 1, 2, 3, 4, 5
+),
+
+final as (
+    select 
+        prod.connector_name,
+        prod.schema_name,
+        prod.table_name,
+        prod.destination_id,
+        prod.measured_month,
+        prod.total_records as prod_total,
+        dev.total_records as dev_total,
+        prod.total_mar as prod_total_mar,
+        dev.total_mar as dev_total_mar
+    from prod
+    left join dev 
+        on dev.connector_name = prod.connector_name
+            and dev.schema_name = prod.schema_name
+            and dev.table_name = prod.table_name
+            and dev.destination_id = prod.destination_id
+            and dev.measured_month = prod.measured_month
+)
+
+select *
+from final
+where prod_total != dev_total
+    or prod_total_mar != dev_total_mar