Once you define metrics in your dbt project, you can query metrics, dimensions, and dimension values, and validate your configs using the MetricFlow commands.MetricFlow allows you to define and query metrics in your dbt project in the dbt Cloud or dbt Core. To experience the power of the ...
dbt语义层增强:包括企业关键功能,如细粒度访问控制和权限(很快就会预览)、Tableau和Google Sheets集成(通常可用)、声明性缓存(一般可用),以及对MetricFlow的改进,使团队能够更快、更准确地构建和使用复杂的度量(通常可用。多项目支持:允许组织通过支持多个相互连接的dbt项目来管理复杂性,这些项目与单个业务域相一致,而...
MetricFlow automatically generates the necessary joins to the defined semantic objects, eliminating the need for you to create new semantic models or configuration files. This section explains the different types of joins that can be used with entities and how to query them. ...
One thing you might try - if you're able to modify the code in the metricflow package, update our dbtRunner invocation to use parse instead of debug you can run it and see if that solves your problem. Since the original error is throwing out of load_profile it might just work, becaus...
ANALYZEjaffle_shop.customers;ANALYZEjaffle_shop.order_items;ANALYZEjaffle_shop.orders;ANALYZEjaffle_shop.products;ANALYZEjaffle_shop.locations;ANALYZEjaffle_shop.supplies;ANALYZEjaffle_shop.metricflow_time_spine;SELECTrelnameAStable_name,reltuples::BIGINTAStable_row_countFROMpg_class cJOINpg_namespace nONc...
Metriql 数据的metrics 层,支持jdbc 操作,以及rest api (部分利用了presto core 部分的代码),基于dbt,也属于无头bi 工具 Malloy looker 开源产品,很值得学习研究 MetricFlow 开源metrics 框架,基于python开发 ligthdash 基于dbt 的looker 可选工具 说明
dbt Semantic Layer, powered by MetricFlow Enterprise Scale dbt Cloud to the changing needs of your business Custom pricing Custom number of developers Custom per successful model built pricing Contact sales Features All features in Team Unlimited projects Single Sign On (SSO) Multiple deployment re...
In the example below, a new_customers metric is defined as a count of customer records created in a given time grain. # models/marts/product/schema.yml version: 2 models: - name: dim_customers ... metrics: - name: new_customers label: New Customers model: dim_customers description: "...
数据的metrics 层,支持jdbc 操作,以及rest api (部分利用了presto core 部分的代码),基于dbt,也属于无头bi 工具 Malloy looker 开源产品,很值得学习研究 MetricFlow 开源metrics 框架,基于python开发 ligthdash 基于dbt 的looker 可选工具 说明 以上几个开源工具都是数据分析领域不错的开源产品,还是很值得学习研究下...
利用dbt 强大的数据建模能力,可以实现数据模型开发的工程化,dbt 提供了一个MetricFlow 但是缺少查询执行能力(开源版) 基于cube.js 的语义层能力,可以方便的实现数据服务 参考图 玩法说明 包含了一个算是比较完整的集成玩法,从基于git 的dbt 模型开发,然后是集成nessie 做为元数据存储,我么开发的数据模型可以直接存储...