pvary commented on code in PR #14435:
URL: https://github.com/apache/iceberg/pull/14435#discussion_r2754064288
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spark/v4.0/spark/src/test/java/org/apache/iceberg/spark/actions/TestRewriteDataFilesAction.java:
##########
@@ -2657,4 +2682,322 @@ public boolean matches(RewriteFileGroup argument) {
return groupIDs.contains(argument.info().globalIndex());
}
}
+
+ @TestTemplate
+ public void testBinPackUsesCorrectRunnerBasedOnOption() {
+ assumeThat(useParquetFileMerger).isTrue();
+
+ Table table = createTable(4);
+ shouldHaveFiles(table, 4);
+
+ // Test that binPack() respects the configuration option
+ // When enabled, should use SparkParquetFileMergeRunner
+ RewriteDataFilesSparkAction actionWithMerger =
+
basicRewrite(table).option(RewriteDataFiles.USE_PARQUET_ROW_GROUP_MERGE,
"true");
+ actionWithMerger.binPack();
+
assertThat(actionWithMerger.runnerDescription()).isEqualTo("PARQUET-MERGE");
+
+ RewriteDataFiles.Result resultWithMerger = actionWithMerger.execute();
+
+ assertThat(resultWithMerger.rewrittenDataFilesCount()).isEqualTo(4);
+ assertThat(resultWithMerger.addedDataFilesCount()).isGreaterThan(0);
+
+ // Write more data to the table so we can test again
+ writeRecords(100, SCALE);
+
+ // When disabled, should use SparkBinPackFileRewriteRunner
+ RewriteDataFilesSparkAction actionWithoutMerger =
+
basicRewrite(table).option(RewriteDataFiles.USE_PARQUET_ROW_GROUP_MERGE,
"false");
+ actionWithoutMerger.binPack();
+ assertThat(actionWithoutMerger.runnerDescription()).isEqualTo("BIN-PACK");
+
+ RewriteDataFiles.Result resultWithoutMerger =
actionWithoutMerger.execute();
+
+ // Should rewrite the newly added files
+ assertThat(resultWithoutMerger.rewrittenDataFilesCount()).isGreaterThan(0);
+ }
+
+ /**
+ * Test that both binpack and ParquetFileMerger convert virtual row IDs to
physical and produce
+ * equivalent results for row lineage preservation.
+ */
+ @TestTemplate
+ public void
testParquetFileMergerProduceConsistentRowLineageWithBinPackMerger()
+ throws IOException {
+ assumeThat(formatVersion).isGreaterThanOrEqualTo(3);
+ assumeThat(useParquetFileMerger).isTrue();
+
+ // Test binpack approach
+ Table binpackTable = createTable(4);
+ shouldHaveFiles(binpackTable, 4);
+ verifyInitialVirtualRowIds(binpackTable);
+ long binpackCountBefore = currentData().size();
+
+ RewriteDataFiles.Result binpackResult =
+ basicRewrite(binpackTable)
+ .option(RewriteDataFiles.USE_PARQUET_ROW_GROUP_MERGE, "false")
+ .binPack()
+ .execute();
+
+ assertThat(binpackResult.rewrittenDataFilesCount()).isEqualTo(4);
+ assertThat(binpackResult.addedDataFilesCount()).isGreaterThan(0);
+ assertThat(currentData()).hasSize((int) binpackCountBefore);
+ verifyPhysicalRowIdsAfterMerge(binpackTable, "Binpack");
+
+ // Test ParquetFileMerger approach with a different table location
+ String originalTableLocation = tableLocation;
+ tableLocation = new File(tableDir, "merger-table").toURI().toString();
+ Table mergerTable = createTable(4);
+ shouldHaveFiles(mergerTable, 4);
+ verifyInitialVirtualRowIds(mergerTable);
+ long mergerCountBefore = currentData().size();
+
+ RewriteDataFiles.Result mergerResult =
+ basicRewrite(mergerTable)
+ .option(RewriteDataFiles.USE_PARQUET_ROW_GROUP_MERGE, "true")
+ .binPack()
+ .execute();
+
+ assertThat(mergerResult.rewrittenDataFilesCount()).isEqualTo(4);
+ assertThat(mergerResult.addedDataFilesCount()).isGreaterThan(0);
+ assertThat(currentData()).hasSize((int) mergerCountBefore);
+ verifyPhysicalRowIdsAfterMerge(mergerTable, "ParquetFileMerger");
+
+ // Restore original table location
+ tableLocation = originalTableLocation;
+
+ // Verify both approaches produce equivalent results
+ assertThat(binpackCountBefore)
+ .as("Both tables should have same initial record count")
+ .isEqualTo(mergerCountBefore);
+ assertThat(binpackResult.addedDataFilesCount())
+ .as("Both approaches should produce same number of output files")
+ .isEqualTo(mergerResult.addedDataFilesCount());
+ }
+
+ private void verifyInitialVirtualRowIds(Table table) throws IOException {
+ List<DataFile> dataFiles = TestHelpers.dataFiles(table);
+ assertThat(dataFiles).isNotEmpty();
+ for (DataFile dataFile : dataFiles) {
+ assertThat(dataFile.firstRowId())
+ .as("Files should have virtual row IDs (first_row_id != null)")
+ .isNotNull();
+
+ // Verify files don't have physical _row_id column
+ ParquetFileReader reader =
+ ParquetFileReader.open(
+ HadoopInputFile.fromPath(
+ new Path(dataFile.path().toString()),
spark.sessionState().newHadoopConf()));
+ MessageType schema = reader.getFooter().getFileMetaData().getSchema();
+ assertThat(schema.containsField("_row_id"))
+ .as("Files should not have physical _row_id column before merge")
+ .isFalse();
+ reader.close();
+ }
+ }
+
+ private void verifyPhysicalRowIdsAfterMerge(Table table, String approach)
throws IOException {
+ List<DataFile> dataFiles = TestHelpers.dataFiles(table);
+ assertThat(dataFiles).isNotEmpty();
+ for (DataFile dataFile : dataFiles) {
+ assertThat(dataFile.firstRowId())
+ .as(approach + " should extract firstRowId from min(_row_id) column
statistics")
+ .isNotNull();
+
+ // Verify files have physical _row_id column
+ ParquetFileReader reader =
+ ParquetFileReader.open(
+ HadoopInputFile.fromPath(
+ new Path(dataFile.path().toString()),
spark.sessionState().newHadoopConf()));
+ MessageType schema = reader.getFooter().getFileMetaData().getSchema();
+ assertThat(schema.containsField("_row_id"))
+ .as(approach + " should write physical _row_id column")
+ .isTrue();
+ reader.close();
+ }
+ }
+
+ /**
+ * Test that ParquetFileMerger can generate physical _row_id columns when
merging files with
+ * virtual row IDs (metadata only).
+ */
+ @TestTemplate
+ public void testParquetFileMergerGeneratesPhysicalRowIds() throws
IOException {
+ assumeThat(formatVersion).isGreaterThanOrEqualTo(3);
+
+ Table table = createTable(4);
+ shouldHaveFiles(table, 4);
+
+ // Merge files with virtual row IDs - should generate physical _row_id
columns
+ RewriteDataFiles.Result result =
+ basicRewrite(table)
+ .option(
+ RewriteDataFiles.USE_PARQUET_ROW_GROUP_MERGE,
String.valueOf(useParquetFileMerger))
+ .binPack()
+ .execute();
+
+ assertThat(result.rewrittenDataFilesCount()).isEqualTo(4);
+ assertThat(result.addedDataFilesCount()).isGreaterThan(0);
+
+ // Verify files have physical _row_id column and first_row_id set
+ // Note: For V3+ tables, firstRowId is required in metadata even with
physical _row_id column
+ List<DataFile> dataFiles = TestHelpers.dataFiles(table);
+ assertThat(dataFiles).isNotEmpty();
+ for (DataFile dataFile : dataFiles) {
+ assertThat(dataFile.firstRowId())
+ .as("Files should have first_row_id set after merge (required for
V3+)")
+ .isNotNull();
+
+ ParquetFileReader reader =
+ ParquetFileReader.open(
+ HadoopInputFile.fromPath(
+ new Path(dataFile.path().toString()),
spark.sessionState().newHadoopConf()));
+ MessageType schema = reader.getFooter().getFileMetaData().getSchema();
+ assertThat(schema.containsField("_row_id"))
+ .as("Files should have physical _row_id column after merge")
+ .isTrue();
+ reader.close();
+ }
+ }
+
+ /**
+ * Test that ParquetFileMerger preserves existing physical _row_id columns
via binary copy when
+ * merging files that already have physical row IDs.
+ */
+ @TestTemplate
+ public void testParquetFileMergerPreservesPhysicalRowIds() throws
IOException {
+ assumeThat(formatVersion).isGreaterThanOrEqualTo(3);
+
+ // Create a V3+ table and do an initial merge to create files with
physical row IDs
+ Table table = createTable(4);
+ shouldHaveFiles(table, 4);
+
+ // First merge: converts virtual row IDs to physical
+ RewriteDataFiles.Result firstMerge =
+ basicRewrite(table)
+ .option(
+ RewriteDataFiles.USE_PARQUET_ROW_GROUP_MERGE,
String.valueOf(useParquetFileMerger))
+ .binPack()
+ .execute();
+
+ assertThat(firstMerge.rewrittenDataFilesCount()).isEqualTo(4);
+ assertThat(firstMerge.addedDataFilesCount()).isGreaterThan(0);
+
+ // Add more data to create additional files (without physical row IDs)
+ writeRecords(2, SCALE);
+ List<DataFile> filesBeforeSecondMerge = TestHelpers.dataFiles(table);
+ int expectedFileCount = filesBeforeSecondMerge.size();
+
+ long countBefore = currentData().size();
+
+ // Second merge: should preserve physical row IDs via binary copy for
files that have them
+ RewriteDataFiles.Result secondMerge =
+ basicRewrite(table)
+ .option(
+ RewriteDataFiles.USE_PARQUET_ROW_GROUP_MERGE,
String.valueOf(useParquetFileMerger))
+ .binPack()
+ .execute();
+
+ assertThat(secondMerge.rewrittenDataFilesCount()).isGreaterThan(0);
+ assertThat(secondMerge.addedDataFilesCount()).isGreaterThan(0);
+ assertThat(currentData()).hasSize((int) countBefore);
+
+ // Verify merged files still have physical _row_id column and firstRowId
from statistics
+ // Same as binpack approach: firstRowId is extracted from min(_row_id)
column statistics
+ List<DataFile> dataFilesAfterSecondMerge = TestHelpers.dataFiles(table);
+ assertThat(dataFilesAfterSecondMerge).isNotEmpty();
+ for (DataFile dataFile : dataFilesAfterSecondMerge) {
+ assertThat(dataFile.firstRowId())
+ .as(
+ "Merged files should have firstRowId extracted from _row_id
column statistics (same as binpack)")
+ .isNotNull();
+
+ // Verify files still have physical _row_id column
+ ParquetFileReader reader =
+ ParquetFileReader.open(
+ HadoopInputFile.fromPath(
+ new Path(dataFile.path().toString()),
spark.sessionState().newHadoopConf()));
+ MessageType schema = reader.getFooter().getFileMetaData().getSchema();
+ assertThat(schema.containsField("_row_id"))
+ .as("Merged files should preserve physical _row_id column")
+ .isTrue();
+ reader.close();
+ }
+ }
+
+ /** Test that row lineage preservation works correctly with partitioned
tables. */
Review Comment:
Please update the comment, as the test now runs on both merger
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