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Description

This PR migrates DataFrameNaFunctionsSuite tests from Apache Spark to RAPIDS for GPU execution testing.

Changes

  • Created RapidsDataFrameNaFunctionsSuite extending DataFrameNaFunctionsSuite with RapidsSQLTestsBaseTrait
  • Registered test suite in RapidsTestSettings.scala with no exclusions

Test Results

  • Total tests: 27
  • Passing: 27 (100%)
  • Excluded: 0
  • Perfect GPU compatibility: 100% pass rate ✨

Test Coverage

Drop Operations (5 tests)

  • drop() - Drop rows with null values in specified columns
  • drop() with how - Drop using "any" or "all" strategy
  • drop() with threshold - Drop when minimum non-null count not met
  • drop() with col(*) - Error handling for wildcard columns
  • drop() with nested columns - Drop based on nested struct fields

Fill Operations (8 tests)

  • fill() numeric - Fill null values with numeric defaults
  • fill() string - Fill null values with string defaults
  • fill() boolean - Fill null values with boolean defaults
  • fill() with map - Fill multiple columns with different values
  • fill() with subset columns - Fill only specified columns
  • fill() with col(*) - Wildcard column handling
  • fill() with nested columns - Nested column fill behavior
  • fillMap() with dotted names - SPARK-34417: Column names containing dots

Replace Operations (8 tests)

  • replace() numeric - Replace specific numeric values
  • replace() with null - Replace values with null
  • replace() NaN with float - Replace NaN values in float columns
  • replace() NaN with double - Replace NaN values in double columns
  • replace() float with NaN - Replace float values with NaN
  • replace() double with NaN - Replace double values with NaN
  • replace() with dotted names - SPARK-34649: Column names containing dots
  • replace() nested columns - Expected UnsupportedOperationException

Ambiguity Handling (2 tests)

  • fill() ambiguous columns - AnalysisException for ambiguous columns after join
  • drop() ambiguous columns - AnalysisException for ambiguous columns after join

Duplicate Columns (2 tests)

  • SPARK-29890 - fill() with duplicate column names (no column specification)
  • SPARK-30065 - drop() with duplicate column names (no column specification)

Edge Cases (2 tests)

  • Column name validation - Error for non-existent columns
  • Nested column operations - Proper exception handling

Key Observations

  • 100% pass rate - Perfect GPU compatibility
  • No modifications needed - All tests pass as-is
  • Complete NA handling - All null/NaN operations work correctly
  • Join operations - Ambiguity detection works on GPU
  • Dotted column names - SPARK-34417 & SPARK-34649 support
  • NaN handling - Float and double NaN replacement works correctly
  • Type casting - Automatic type casting in fill() operations
  • Error handling - All expected exceptions properly thrown

Files Changed

  • tests/src/test/spark330/scala/org/apache/spark/sql/rapids/suites/RapidsDataFrameNaFunctionsSuite.scala (new)
  • tests/src/test/spark330/scala/org/apache/spark/sql/rapids/utils/RapidsTestSettings.scala (updated)

Related Issues

Closes part of #11297 (Spark UT migration tracking issue)

Signed-off-by: Allen Xu [email protected]

Split the single long import statement into individual import lines
for better readability and easier git diff tracking.

Each RapidsSuite is now imported on a separate line, making it clearer
when new test suites are added or removed.

The existing 'scalastyle:off line.size.limit' comment ensures no
style check violations.

Signed-off-by: Allen Xu <[email protected]>
Add RapidsDataFrameNaFunctionsSuite extending DataFrameNaFunctionsSuite
with RapidsSQLTestsBaseTrait for GPU execution testing.

Test Results:
- Total tests: 27
- Passing: 27 (100%)
- Excluded: 0
- Perfect GPU compatibility: 100% pass rate

Test Coverage:
- Drop operations (5 tests)
  - drop() with column names
  - drop() with how parameter (any/all)
  - drop() with threshold
  - drop() with col(*)
  - drop() with nested columns

- Fill operations (8 tests)
  - fill() with numeric values
  - fill() with string values
  - fill() with boolean values
  - fill() with map of values
  - fill() with subset columns
  - fill() with col(*)
  - fill() with nested columns
  - fillMap() with dotted column names

- Replace operations (8 tests)
  - replace() numeric values
  - replace() with null values
  - replace() with NaN values (float/double)
  - replace() with dotted column names
  - replace() with qualified column names
  - replace() with nested columns (expected exception)

- Ambiguity handling (2 tests)
  - fill() with ambiguous columns after join
  - drop() with ambiguous columns after join

- Duplicate columns (2 tests)
  - SPARK-29890: fill() with duplicate column names
  - SPARK-30065: drop() with duplicate column names

- Edge cases (2 tests)
  - Column name validation
  - Nested column operations

All DataFrame NA functions (null/NaN handling) work correctly on GPU
with perfect compatibility.

Related: NVIDIA#11297

Signed-off-by: Allen Xu <[email protected]>
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greptile-apps bot commented Nov 13, 2025

Greptile Overview

Greptile Summary

This PR migrates DataFrameNaFunctionsSuite from Apache Spark to RAPIDS for GPU execution testing, achieving a perfect 100% pass rate across all 27 tests covering null/NaN handling operations (drop(), fill(), replace()).

Key changes:

  • Created minimal RapidsDataFrameNaFunctionsSuite extending the parent suite with RapidsSQLTestsTrait
  • Registered suite in RapidsTestSettings.scala with no test exclusions
  • All 27 tests pass without modification, demonstrating complete GPU compatibility for DataFrame NA operations

The implementation follows the established pattern used by other migrated test suites in the codebase.

Confidence Score: 5/5

  • Safe to merge - straightforward test migration with perfect pass rate
  • Clean implementation following established patterns, 100% test pass rate, minimal code changes with proper imports and trait usage
  • No files require special attention

Important Files Changed

File Analysis

Filename Score Overview
tests/src/test/spark330/scala/org/apache/spark/sql/rapids/suites/RapidsDataFrameNaFunctionsSuite.scala 5/5 New test suite that extends DataFrameNaFunctionsSuite with RapidsSQLTestsTrait - minimal implementation with no custom tests
tests/src/test/spark330/scala/org/apache/spark/sql/rapids/utils/RapidsTestSettings.scala 5/5 Registered RapidsDataFrameNaFunctionsSuite with no test exclusions, removed extra blank line

Sequence Diagram

sequenceDiagram
    participant Developer
    participant RapidsDataFrameNaFunctionsSuite
    participant DataFrameNaFunctionsSuite
    participant RapidsSQLTestsTrait
    participant GPU

    Developer->>RapidsDataFrameNaFunctionsSuite: Run test suite
    RapidsDataFrameNaFunctionsSuite->>DataFrameNaFunctionsSuite: Inherit 27 tests
    RapidsDataFrameNaFunctionsSuite->>RapidsSQLTestsTrait: Mix in GPU testing infrastructure
    RapidsSQLTestsTrait->>GPU: Configure Spark session for GPU execution
    GPU-->>RapidsSQLTestsTrait: GPU plugin enabled
    DataFrameNaFunctionsSuite->>GPU: Execute drop(), fill(), replace() tests
    GPU-->>DataFrameNaFunctionsSuite: All 27 tests pass
    RapidsDataFrameNaFunctionsSuite-->>Developer: 100% pass rate
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2 files reviewed, no comments

Edit Code Review Agent Settings | Greptile

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2 files reviewed, 1 comment

Edit Code Review Agent Settings | Greptile

- Change from RapidsSQLTestsBaseTrait to RapidsSQLTestsTrait
- Original Spark test extends QueryTest which requires RapidsSQLTestsTrait
- RapidsSQLTestsTrait provides QueryTest functionality (checkAnswer, etc.)
- All 27 tests pass after fix
- Same issue as RapidsDataFrameComplexTypeSuite
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2 participants