aokolnychyi commented on code in PR #6371:
URL: https://github.com/apache/iceberg/pull/6371#discussion_r1042627234
##########
spark/v3.3/spark/src/main/java/org/apache/iceberg/spark/Spark3Util.java:
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@@ -255,74 +256,90 @@ public static org.apache.iceberg.Table
toIcebergTable(Table table) {
return sparkTable.table();
}
+ public static Transform[] toTransforms(Schema schema, List<PartitionField>
fields) {
+ SpecTransformToSparkTransform visitor = new
SpecTransformToSparkTransform(schema);
+
+ List<Transform> transforms = Lists.newArrayList();
+
+ for (PartitionField field : fields) {
+ Transform transform = PartitionSpecVisitor.visit(schema, field, visitor);
+ if (transform != null) {
+ transforms.add(transform);
+ }
+ }
+
+ return transforms.toArray(new Transform[0]);
+ }
+
/**
* Converts a PartitionSpec to Spark transforms.
*
* @param spec a PartitionSpec
* @return an array of Transforms
*/
public static Transform[] toTransforms(PartitionSpec spec) {
- Map<Integer, String> quotedNameById =
SparkSchemaUtil.indexQuotedNameById(spec.schema());
- List<Transform> transforms =
- PartitionSpecVisitor.visit(
- spec,
- new PartitionSpecVisitor<Transform>() {
- @Override
- public Transform identity(String sourceName, int sourceId) {
- return Expressions.identity(quotedName(sourceId));
- }
+ SpecTransformToSparkTransform visitor = new
SpecTransformToSparkTransform(spec.schema());
+ List<Transform> transforms = PartitionSpecVisitor.visit(spec, visitor);
+ return
transforms.stream().filter(Objects::nonNull).toArray(Transform[]::new);
+ }
- @Override
- public Transform bucket(String sourceName, int sourceId, int
numBuckets) {
- return Expressions.bucket(numBuckets, quotedName(sourceId));
- }
+ private static class SpecTransformToSparkTransform implements
PartitionSpecVisitor<Transform> {
+ private final Map<Integer, String> quotedNameById;
- @Override
- public Transform truncate(String sourceName, int sourceId, int
width) {
- return Expressions.apply(
- "truncate",
- Expressions.column(quotedName(sourceId)),
- Expressions.literal(width));
- }
+ SpecTransformToSparkTransform(Schema schema) {
+ this.quotedNameById = SparkSchemaUtil.indexQuotedNameById(schema);
+ }
- @Override
- public Transform year(String sourceName, int sourceId) {
- return Expressions.years(quotedName(sourceId));
- }
+ @Override
+ public Transform identity(String sourceName, int sourceId) {
+ return Expressions.identity(quotedName(sourceId));
+ }
- @Override
- public Transform month(String sourceName, int sourceId) {
- return Expressions.months(quotedName(sourceId));
- }
+ @Override
+ public Transform bucket(String sourceName, int sourceId, int numBuckets) {
+ return Expressions.bucket(numBuckets, quotedName(sourceId));
+ }
- @Override
- public Transform day(String sourceName, int sourceId) {
- return Expressions.days(quotedName(sourceId));
- }
+ @Override
+ public Transform truncate(String sourceName, int sourceId, int width) {
+ NamedReference column = Expressions.column(quotedName(sourceId));
+ return Expressions.apply("truncate", Expressions.literal(width), column);
Review Comment:
I think the only place that would change is string output of partitioning in
`SparkTable`. Otherwise, we handle both combinations in the `TruncateTransform`
extractor.
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