APPLY CHANGES FROM SNAPSHOTAPI 正處於公開預覽。 APPLY CHANGES FROM SNAPSHOT是宣告式 API,可藉由比較一系列順序快照集,以有效率地判斷源數據中的變更,然後執行 CDC 處理快照集中記錄所需的處理。APPLY CHANGES FROM SNAPSHOT只有 Delta Live Tables Python 介面才支援。
Delta Live Tables でAPPLY CHANGESAPI を使うと、変更データ キャプチャ (CDC) が簡単になります。 これまで、Azure Databricks で CDC レコードを処理するには、MERGE INTOステートメントが一般に使われていました。 しかし、MERGE INTOでは、順序が正しくないレコードのために誤った結果が生成...
Delta Live Tables simplifies change data capture (CDC) with theAPPLYCHANGESandAPPLYCHANGESFROMSNAPSHOTAPIs. The interface you use depends on the source of change data: UseAPPLYCHANGESto process changes from a change data feed (CDF). UseAPPLYCHANGESFROMSNAPSHOT(Public Preview) to process changes in...
在Delta Live Tables 中使用 SQL 进行的变更数据捕获 通过APPLY CHANGES INTO语句使用 Delta Live Tables CDC 功能,如下所述: 复制 CREATE OR REFRESH STREAMING TABLE table_name; APPLY CHANGES INTO LIVE.table_name FROM source KEYS (keys) [IGNORE NULL UPDATES] [APPLY AS DELETE WHEN condition] [APP...
相較之下,管線中最後一個數據表通常稱為黃金數據表,通常需要複雜的匯總或從作業的目標APPLY CHANGES INTO讀取。 由於這些作業原本會建立更新,而不是附加,因此不支援它們做為串流數據表的輸入。 這些轉換更適合具體化檢視。 藉由將串流數據表和具體化檢視混合成單一管線,您可以簡化管線、避免成本高昂...
Delta Live Tables provides functionality for easy propagation of change data and storing results as SCD (slowly changing dimension) type 1 or type 2 tables. SeeThe APPLY CHANGES APIs: Simplify change data capture with Delta Live Tables.
Connecting Data Engineering and Data Science Understanding ETL by O’Reilly Blog: Build Governed Pipelines With Delta Live Tables and Unity Catalog Blog: How We Performed ETL on One Billion Records for Under $1 With Delta Live Tables Webinar: Data Engineering in the Age of AI ...
As a first-timer interfacing with Databricks and itsData Intelligence Platform, I was pleasantly surprised by the ease with which we seamlessly connected Delta Live Tables to our data streams. The flexibility to make changes on the fly, adding additional data points, and...
When managing Delta Live Tables pipelines on your clusters, you may want to use custom tags for internal tracking. For example, you may want to use tags to
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