saitharun15 commented on code in PR #11615:
URL: https://github.com/apache/iceberg/pull/11615#discussion_r1854296151
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spark/v3.5/spark/src/main/java/org/apache/iceberg/spark/source/SparkScan.java:
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@@ -194,10 +205,40 @@ protected Statistics estimateStatistics(Snapshot
snapshot) {
Map<NamedReference, ColumnStatistics> colStatsMap = Collections.emptyMap();
if (readConf.reportColumnStats() && cboEnabled) {
colStatsMap = Maps.newHashMap();
+ Map<Integer, Long> ndvs = Maps.newHashMap();
+ Map<Integer, Long> nullCounts = Maps.newHashMap();
+ Map<Integer, Object> minValues = Maps.newHashMap();
+ Map<Integer, Object> maxValues = Maps.newHashMap();
List<StatisticsFile> files = table.statisticsFiles();
if (!files.isEmpty()) {
List<BlobMetadata> metadataList = (files.get(0)).blobMetadata();
+ if (readConf.deriveStatsFromManifestSessionConf()
+ || readConf.deriveStatsFromManifestTableProperty()) {
+ Map<String, Map<Integer, Long>> distinctDataFilesNullCount =
Maps.newHashMap();
Review Comment:
We observed a scenario where different FileScanTask objects in the taskGroup
were pointing to the same data file, causing duplicates. I used putIfAbsent to
ensure a single entry per file and renamed the maps to distinctDataFiles.
However after switching to collect FileScanTask objects as a set, putIfAbsent
is no longer needed. @RussellSpitzer , can you please suggest if there is an
alternate approach?
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