{"repo":"microsoft/dbt-fabricspark","free":true,"listed":false,"github":"https://github.com/microsoft/dbt-fabricspark","clone":"git clone https://github.com/microsoft/dbt-fabricspark.git","description":"A dbt adapter for Fabric Lakehouse backed by Apache Spark.","language":"Python","stars":64,"topics":["dbt","fabric","spark"],"license":"MIT","category":"data-pipelines","readme_excerpt":"Fabric Spark - dbt dbt adapter for Fabric Spark supporting SQL models. dbt Docs · Fabric Lakehouse with Spark · Fabric Lakehouse Livy API dbt enables data analysts and engineers to transform their data using the same practices that software engineers use to build applications. dbt is the T in ELT. Organize, cleanse, denormalize, filter, rename, and pre-aggregate the raw data in your warehouse so that it's ready for analysis. dbt-fabricspark The dbt-fabricspark package contains all of the code enabling dbt to work with Apache Spark in Microsoft Fabric. This adapter connects to Fabric Lakehouses via Livy endpoints and supports both schema-enabled and non-schema Lakehouse configurations. Key Features - Livy session management with session reuse and robust connectivity across dbt runs - Lakehouse with schema support — auto-detects schema-enabled lakehouses and uses three-part naming ( lakehouse.schema.table ) - Lakehouse without schema — standard two-part naming ( lakehouse.table ) - Materializations : table, view, incremental (append, merge, insert overwrite, microbatch, delete+insert), seed, snapshot - Fabric Environment support via environmentId configuration - Security : credential masking, UUID validation, HTTPS + domain validation, thread-safe token refresh - Resilience : HTTP 5xx retry with exponential backoff, bounded polling with configurable timeouts Getting started - Install dbt - Read the introduction and viewpoint To contribute to this adapter codebase, see CONTRIBUT","default_branch":null,"files":null,"tree":[],"storefront":"/r/microsoft","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/microsoft/dbt-fabricspark/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}