ConeyLiu commented on code in PR #4627:
URL: https://github.com/apache/iceberg/pull/4627#discussion_r872923557
##########
flink/v1.14/flink/src/main/java/org/apache/iceberg/flink/data/FlinkParquetReaders.java:
##########
@@ -112,11 +116,14 @@ public ParquetValueReader<RowData>
struct(Types.StructType expected, GroupType s
List<ParquetValueReader<?>> reorderedFields =
Lists.newArrayListWithExpectedSize(
expectedFields.size());
List<Type> types =
Lists.newArrayListWithExpectedSize(expectedFields.size());
+ // Inferring MaxDefinitionLevel from parent field
+ int inferredMaxDefinitionLevel =
type.getMaxDefinitionLevel(currentPath());
Review Comment:
@kbendick, we could not update the `maxDefinitionLevelsById ` if the
`fieldType.getId()` is null, you could see it at L101.
##########
spark/v3.2/spark/src/test/java/org/apache/iceberg/spark/source/TestPartitionValues.java:
##########
@@ -432,4 +436,48 @@ public void testPartitionedByNestedString() throws
Exception {
Assert.assertEquals("Number of rows should match", rows.size(),
actual.size());
}
+
+ @Test
+ public void testReadPartitionColumn() throws Exception {
+ Assume.assumeTrue("Temporary skip ORC", !"orc".equals(format));
+
+ Schema nestedSchema = new Schema(
+ Types.NestedField.optional(1, "id", Types.LongType.get()),
+ Types.NestedField.optional(2, "struct",
+ Types.StructType.of(
+ Types.NestedField.optional(3, "innerId", Types.LongType.get()),
+ Types.NestedField.optional(4, "innerName",
Types.StringType.get())
+ )
+ )
+ );
+ PartitionSpec spec =
PartitionSpec.builderFor(nestedSchema).identity("struct.innerName").build();
+
+ // create table
+ HadoopTables tables = new
HadoopTables(spark.sessionState().newHadoopConf());
+ String baseLocation =
temp.newFolder("partition_by_nested_string").toString();
+ Table table = tables.create(nestedSchema, spec, baseLocation);
+ table.updateProperties().set(TableProperties.DEFAULT_FILE_FORMAT,
format).commit();
+
+ // write into iceberg
+ MapFunction<Long, ComplexRecord> func =
+ value -> new ComplexRecord(value, new NestedRecord(value, "name_" +
value));
+ spark.range(0, 10, 1, 1).map(func, Encoders.bean(ComplexRecord.class))
+ .write()
+ .format("iceberg")
+ .mode(SaveMode.Append)
+ .save(baseLocation);
Review Comment:
Updated
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