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Releases: fivetran/dbt_shopify

Features Updates + custom schema (breaking change 🚨)

27 May 01:54
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This release incorporates the following new features:

  • Databricks and Postgres compatibility
  • Custom schema integration (breaking change 🚨)
  • Addition of the shopify__transactions table which includes all transactions within shopify and an exchange rate calculation applied
  • Overhauled shopify__orders, shopify__order_lines, and shopify__customer_cohorts tables to include refund calculations towards the order totals.
  • Removed duplicate customer total orders and total amount fields from the shopify__customers final model (breaking change 🚨)

Package Upgrades + dbt Required version

17 Feb 23:31
daecfaf
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🚨 This release contains breaking changes. Updates include:

  • Requiring a specific version of dbt (0.18.0 - 0.20.0), to prevent future issues.
  • Some column names have been updated to either align with our naming conventions or be more verbose to provide clarity.
model old name new name
stg_shopify__order buyer_accepts_marketing has_buyer_accepted_marketing
  taxes_included has_taxes_included
  test is_test_order
stg_shopify__customer accepts_marketing has_accepted_marketing
  state account_state
stg_shopify__order_line gift_card is_gift_card
  requires_shipping is_requiring_shipping

Initial Release

28 Sep 21:54
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This is the initial release of this package.

The main focus of the package is to transform the core object tables into analytics-ready models, including a cohort model to understand how your customers are behaving over time.

Currently the package supports Redshift, BigQuery and Snowflake.