Module dataframe

DataFrame representation for Spark Connection

Re-exports

• pub use crate::readwriter::DataFrameReader;
• pub use crate::readwriter::DataFrameWriter;
• pub use crate::readwriter::DataFrameWriterV2;
• pub use crate::streaming::DataStreamReader;
• pub use crate::streaming::DataStreamWriter;
• pub use crate::streaming::OutputMode;
• pub use crate::streaming::StreamingQuery;
• pub use spark::aggregate::GroupType;
• pub use spark::analyze_plan_request::explain::ExplainMode;
• pub use spark::join::JoinType;
• pub use spark::write_operation::SaveMode;

Structs

• DataFrame
  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.
• DataFrameNaFunctions
  Functionality for statistic functions with DataFrame.
• DataFrameStatFunctions
  Functionality for working with missing data in DataFrame.