RussellSpitzer commented on code in PR #13324:
URL: https://github.com/apache/iceberg/pull/13324#discussion_r2193421243
##########
spark/v3.5/spark/src/test/java/org/apache/iceberg/spark/data/vectorized/parquet/TestParquetVectorizedReads.java:
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@@ -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();
Review Comment:
Why do we do this? Test looks fine just wondering why we create and then
delete
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