amogh-jahagirdar commented on code in PR #12736:
URL: https://github.com/apache/iceberg/pull/12736#discussion_r2059370149
##########
spark/v3.5/spark-extensions/src/test/java/org/apache/iceberg/spark/extensions/SparkRowLevelOperationsTestBase.java:
##########
@@ -177,7 +177,19 @@ public static Object[][] parameters() {
SparkCatalog.class.getName(),
ImmutableMap.of("type", "hadoop"),
FileFormat.PARQUET,
- RANDOM.nextBoolean(),
+ true,
+ WRITE_DISTRIBUTION_MODE_HASH,
+ true,
+ null,
+ LOCAL,
+ 3
+ },
+ {
+ "testhadoop",
+ SparkCatalog.class.getName(),
+ ImmutableMap.of("type", "hadoop"),
+ FileFormat.PARQUET,
+ false,
Review Comment:
Currently, in our DML tests for the parquet case we randomize between
vectorized or not. I've changed this for V3 at least to run both the vectorized
and non-vectorized case.
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