![]() The Shell page describes how to work with the interactive Beam SQL shell. The Beam SQL shell allows you to write pipelines as SQL queries without using the Java SDK. The SQL pipeline walkthrough works through how to use Beam SQL with example code. The type of elements that Beam SQL operates on. SqlTransform: the interface for creating PTransforms from SQL queries.There are two additional concepts you need to know to use SQL in your pipeline: To change dialects, pass the dialect’s full package name to the setPlannerName method in the PipelineOptions interface. Beam ZetaSQL is more compatible with BigQuery, so it’s especially useful in pipelines that write to or read from BigQuery tables. Beam Calcite SQL is the default Beam SQL dialect. You can freely mix SQL PTransforms and other PTransforms in your pipeline.īeam SQL includes the following dialects:īeam Calcite SQL is a variant of Apache Calcite, a dialect widespread inīig data processing. Is translated to a PTransform, an encapsulated segment of a Beam pipeline. ![]() ![]() Python multi-language pipelines quickstartīeam SQL allows a Beam user (currently only available in Beam Java and Python) to queryīounded and unbounded PCollections with SQL statements.Java multi-language pipelines quickstart. ![]()
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |