huaxingao commented on code in PR #11035:
URL: https://github.com/apache/iceberg/pull/11035#discussion_r1769350721
##########
spark/v3.5/spark/src/main/java/org/apache/iceberg/spark/source/SparkScan.java:
##########
@@ -198,27 +198,31 @@ protected Statistics estimateStatistics(Snapshot
snapshot) {
if (!files.isEmpty()) {
List<BlobMetadata> metadataList = (files.get(0)).blobMetadata();
- for (BlobMetadata blobMetadata : metadataList) {
- int id = blobMetadata.fields().get(0);
- String colName = table.schema().findColumnName(id);
+ Map<Integer, List<BlobMetadata>> groupedByField =
+ metadataList.stream()
+ .collect(
+ Collectors.groupingBy(
+ metadata -> metadata.fields().get(0),
Collectors.toList()));
+
+ for (Map.Entry<Integer, List<BlobMetadata>> entry :
groupedByField.entrySet()) {
+ String colName = table.schema().findColumnName(entry.getKey());
NamedReference ref = FieldReference.column(colName);
-
Long ndv = null;
- if (blobMetadata
- .type()
-
.equals(org.apache.iceberg.puffin.StandardBlobTypes.APACHE_DATASKETCHES_THETA_V1))
{
- String ndvStr = blobMetadata.properties().get(NDV_KEY);
- if (!Strings.isNullOrEmpty(ndvStr)) {
- ndv = Long.parseLong(ndvStr);
- } else {
- LOG.debug("ndv is not set in BlobMetadata for column {}",
colName);
+
+ for (BlobMetadata blobMetadata : entry.getValue()) {
+ if (blobMetadata
+ .type()
+
.equals(org.apache.iceberg.puffin.StandardBlobTypes.APACHE_DATASKETCHES_THETA_V1))
{
+ String ndvStr = blobMetadata.properties().get(NDV_KEY);
+ if (!Strings.isNullOrEmpty(ndvStr)) {
+ ndv = Long.parseLong(ndvStr);
+ } else {
+ LOG.debug("ndv is not set in BlobMetadata for column {}",
colName);
+ }
Review Comment:
If the blob type is not `APACHE_DATASKETCHES_THETA_V1`, shall we add a log
message, something like "Blob type XXX is not supported yet"?
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