随着这一趋势,DBT 几乎已成为在现代云原生数据仓库上进行转换的事实上的标准。使用 DBT,人们发现他们可以用更少的工程师和更少的维护更快地构建数据管道。 我预测这种趋势只会持续下去,总有一天,DBT 将在用户数量、工作数量和在数据领域的重要性方面超过 Spark。 Spark 填补了一个不再存在的空白 Spark 背后的整个...
dbt-spark 1.6.0-b1 - May 12, 2023 Features Support insert_overwrite strategy with delta (#1013) Fixes Fixed issue where table materialization was not always properly refreshing for non-admin users on Databricks (#725) Remove dead code 💀 (#758) Under the Hood Remove unneeded type ignore...
github-actions released this 02 Dec 19:55 v1.9.0rc1 10574a1 dbt-spark 1.9.0-rc1 - December 02, 2024 Breaking Changes Drop support for Python 3.8 (#1121) Features Enable setting current value of dbt_valid_to (#1112) Under the Hood Isolating distribution testing (#1069) Contributors @...
spark=SparkSession.builder \.appName("dbt-spark-demo")\.master("local[*]")\.getOrCreate() 1. 2. 3. 4. 5. 6. 这将创建一个名为 “dbt-spark-demo” 的 Spark 应用,并且使用所有可用的本地 CPU 核心进行计算。 使用dbt-spark[PyHive] 进行数据处理 一旦与 Spark 连接成功,我们就可以使用 dbt...
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Cloud Hadoop/Spark (HARK) platforms accelerate insights by automating the storage, processing, and accessing of big data. In our 25-criterion evaluation of HARK providers, we identified the 11 most significant ones — Amazon Web Services (AWS), Cloudera, Google, Hortonworks, Huawei, M...
dbt-spark 1.4.0-b1 - December 15, 2022 Features incremental predicates (#435,#436) Migrate dbt-utils current_timestamp macros into core + adapters (#483,#480) Fixes Password doesn't pass to server using LDAP connection via thrift (#310) (#310,#396) ...
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-spark The dbt-spark package contains all of the code enabling dbt to work with Apache Spark and Databricks. For more information, ...
dbt-spark 1.5.0 - April 27, 2023 Features Support for data types constraints in Spark following the dbt Core feature #6271 (#558) Enforce contracts on models materialized as tables and views (#639,#654) Modify adapter to support unified constraint fields (#655) ...
dbt-spark This plugin ports dbt functionality to Spark. It supports running dbt against Spark clusters that are hosted via Databricks (AWS + Azure), Amazon EMR, or Docker.We have not tested extensively against older versions of Apache Spark. The plugin uses syntax that requires version 2.2.0 ...