danielcweeks commented on code in PR #7688:
URL: https://github.com/apache/iceberg/pull/7688#discussion_r1206087095
##########
core/src/main/java/org/apache/iceberg/BaseScan.java:
##########
@@ -256,4 +265,95 @@ private static Schema
lazyColumnProjection(TableScanContext context, Schema sche
public ThisT metricsReporter(MetricsReporter reporter) {
return newRefinedScan(table(), schema(), context().reportWith(reporter));
}
+
+ private Optional<Long> adaptiveSplitSize(long tableSplitSize) {
+ if (!PropertyUtil.propertyAsBoolean(
+ table.properties(),
+ TableProperties.ADAPTIVE_SPLIT_PLANNING,
+ TableProperties.ADAPTIVE_SPLIT_PLANNING_DEFAULT)) {
+ return Optional.empty();
+ }
+
+ int minParallelism =
+ PropertyUtil.propertyAsInt(
+ table.properties(),
+ TableProperties.SPLIT_MIN_PARALLELISM,
+ TableProperties.SPLIT_MIN_PARALLELISM_DEFAULT);
+
+ Preconditions.checkArgument(minParallelism > 0, "Minimum parallelism must
be a positive value");
+
+ Snapshot snapshot =
+ Stream.of(context.snapshotId(), context.toSnapshotId())
Review Comment:
Yeah, I wasn't sure about incremental read, but this would at least get
closer to the course grain table stats (e.g. older snapshots will typically
have less data).
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