rdsr commented on a change in pull request #909: Parquet: Support constant map
for partition values
URL: https://github.com/apache/incubator-iceberg/pull/909#discussion_r407016734
##########
File path:
spark/src/test/java/org/apache/iceberg/spark/source/TestPartitionValues.java
##########
@@ -307,4 +308,72 @@ public void testPartitionValueTypes() throws Exception {
TestTables.clearTables();
}
}
+
+ @Test
+ public void testNestedPartitionValues() throws Exception {
+ Assume.assumeTrue("ORC can't project nested partition values",
!format.equalsIgnoreCase("orc"));
+
+ String[] columnNames = new String[] {
+ "b", "i", "l", "f", "d", "date", "ts", "s", "bytes", "dec_9_0",
"dec_11_2", "dec_38_10"
+ };
+
+ HadoopTables tables = new
HadoopTables(spark.sessionState().newHadoopConf());
+ Schema nestedSchema = new Schema(optional(1, "nested",
SUPPORTED_PRIMITIVES.asStruct()));
+
+ // create a table around the source data
+ String sourceLocation = temp.newFolder("source_table").toString();
+ Table source = tables.create(nestedSchema, sourceLocation);
+
+ // write out an Avro data file with all of the data types for source data
+ List<GenericData.Record> expected =
RandomData.generateList(source.schema(), 2, 128735L);
+ File avroData = temp.newFile("data.avro");
+ Assert.assertTrue(avroData.delete());
+ try (FileAppender<GenericData.Record> appender =
Avro.write(Files.localOutput(avroData))
+ .schema(source.schema())
+ .build()) {
+ appender.addAll(expected);
+ }
+
+ // add the Avro data file to the source table
Review comment:
Why not write the data for the parameterized format for which the test is
running?
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