RussellSpitzer commented on code in PR #15150:
URL: https://github.com/apache/iceberg/pull/15150#discussion_r2748299868
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spark/v4.1/spark/src/test/java/org/apache/iceberg/spark/source/TestSparkDataWrite.java:
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@@ -555,6 +557,55 @@ public void testViewsReturnRecentResults() {
assertThat(actual2).hasSameSizeAs(expected2).isEqualTo(expected2);
}
+ @TestTemplate
+ public void testWriteDataFilesInTableSortOrder() {
+ File parent = temp.resolve(format.toString()).toFile();
+ File location = new File(parent, "test");
+ String targetLocation = locationWithBranch(location);
+
+ HadoopTables tables = new HadoopTables(CONF);
+ PartitionSpec spec = PartitionSpec.unpartitioned();
+ Table table = tables.create(SCHEMA, spec, location.toString());
+
+ table.replaceSortOrder().asc("id").commit();
+
+ List<SimpleRecord> expected = Lists.newArrayListWithCapacity(4000);
+ for (int i = 0; i < 4000; i++) {
+ expected.add(new SimpleRecord(i, "a"));
+ }
+
+ Dataset<Row> df = spark.createDataFrame(expected, SimpleRecord.class);
+
+ df.select("id", "data")
+ .write()
+ .format("iceberg")
+ .option(SparkWriteOptions.WRITE_FORMAT, format.toString())
Review Comment:
I wonder if this is the write place for this test, since we shouldn't have
different behavior based on file format ... probably fine
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