Expand description
Dataflow debugger for DataFrame pipeline debugging (RUCHY-0818)
Provides comprehensive debugging capabilities for DataFrame operations,
including breakpoints, materialization on demand, and stage-by-stage analysis.
Structs§
- Breakpoint
- Breakpoint configuration for pipeline debugging
- Column
Def - Column definition in
DataFrameschema - DataRow
- Single row of data in materialized
DataFrame - Data
Schema DataFrameschema information- Dataflow
Config - Configuration for the dataflow debugger
- Dataflow
Debugger - Dataflow debugger for
DataFramepipeline analysis - Debug
Export - Complete debugging data export structure
- Execution
Event - Execution event in the debugging session
- Materialized
Frame - Materialized
DataFramedata for inspection - Pipeline
Stage - Individual stage in the
DataFramepipeline - Session
State - Current state of the debugging session
- Stage
Diff - Diff between two pipeline stages
- Stage
Metrics - Performance metrics for a pipeline stage
Enums§
- Breakpoint
Action - Actions to perform when breakpoint is triggered
- Breakpoint
Condition - Conditions for triggering breakpoints
- Column
Change - Types of column changes between stages
- Comparison
Op - Comparison operators for breakpoint conditions
- Data
Change - Types of data changes between stages
- Data
Type - Supported data types in
DataFrames - Data
Value - Individual data value in a
DataFramecell - Event
Type - Types of execution events
- Export
Format - Export formats for dataflow debugging data
- Stage
Execution Result - Result of executing a pipeline stage
- Stage
Status - Execution status of a pipeline stage
- Stage
Type - Types of
DataFrameoperations