Module spark_connect_rs::dataframe
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The spark-connect-rs crate is currently just a meta-package shim for spark-connect-core DataFrame representation for Spark Connection
Structs§
- DataFrame is composed of a SparkSession referencing a Spark Connect enabled cluster, and a LogicalPlanBuilder which represents the unresolved spark::Plan to be submitted to the cluster when an action is called.
- DataFrameReader represents the entrypoint to create a DataFrame from a specific file format.
- DataFrameWriter provides the ability to output a DataFrame to a specific file format supported by Spark
- DataStreamReader represents the entrypoint to create a streaming DataFrame
- DataStreamWriter provides the ability to output a StreamingQuery which can then be used to monitor the active stream
- Represents the active streaming created from a
start
on the writer
Enums§
- Plan explanation mode.
- Streaming Output Modes