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Spark: Support Parquet dictionary encoded UUIDs #13324

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Merged
merged 3 commits into from
Jul 9, 2025
Merged

Spark: Support Parquet dictionary encoded UUIDs #13324

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f033e4d
Spark: Support Parquet dictionary encoded UUIDs
Fokko Jun 16, 2025
cc50da4
Add another test
Fokko Jun 18, 2025
bb8e871
Merge branch 'main' of github.com:apache/iceberg into fd-uuid
Fokko Jun 30, 2025
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Add another test
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@Fokko
Fokko committed Jun 18, 2025
commit cc50da4060e23399564f97a44f0ac5748e2eaa8f
15 changes: 15 additions & 0 deletions ...est/java/org/apache/iceberg/spark/data/parquet/vectorized/TestParquetVectorizedReads.java
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Expand Up @@ -400,4 +400,19 @@ public void testUnsupportedReadsForParquetV2() throws Exception {
.hasMessageStartingWith("Cannot support vectorized reads for column")
.hasMessageEndingWith("Disable vectorized reads to read this table/file");
}

@Test
public void testUuidReads() throws Exception {
// Just one row to maintain dictionary encoding
int numRows = 1;
Schema schema = new Schema(optional(100, "uuid", Types.UUIDType.get()));

File dataFile = File.createTempFile("junit", null, temp.toFile());
assertThat(dataFile.delete()).as("Delete should succeed").isTrue();
Iterable<Record> data = generateData(schema, numRows, 0L, 0, IDENTITY);
try (FileAppender<Record> writer = getParquetV2Writer(schema, dataFile)) {
writer.addAll(data);
}
assertRecordsMatch(schema, numRows, data, dataFile, false, BATCH_SIZE);
}
}