deniskuzZ commented on code in PR #12629:
URL: https://github.com/apache/iceberg/pull/12629#discussion_r2028440651
##########
data/src/main/java/org/apache/iceberg/data/PartitionStatsHandler.java:
##########
@@ -135,20 +142,114 @@ public static PartitionStatisticsFile
computeAndWriteStatsFile(Table table) thro
*/
public static PartitionStatisticsFile computeAndWriteStatsFile(Table table,
long snapshotId)
throws IOException {
+ return computeAndWrite(table, snapshotId, true /* recompute */);
+ }
+
+ /**
+ * Incrementally computes the stats after the snapshot that has partition
stats file till the
+ * given snapshot and writes the combined result into a {@link
PartitionStatisticsFile} after
+ * merging the stats.
+ *
+ * @param table The {@link Table} for which the partition statistics is
computed.
+ * @param snapshotId snapshot for which partition statistics are computed.
+ * @return {@link PartitionStatisticsFile} for the given snapshot, or null
if no statistics are
+ * present.
+ */
+ public static PartitionStatisticsFile computeAndWriteStatsFileIncremental(
+ Table table, long snapshotId) throws IOException {
+ return computeAndWrite(table, snapshotId, false /* recompute */);
+ }
+
+ private static PartitionStatisticsFile computeAndWrite(
+ Table table, long snapshotId, boolean recompute) throws IOException {
+ Preconditions.checkArgument(table != null, "Table cannot be null");
Snapshot snapshot = table.snapshot(snapshotId);
Preconditions.checkArgument(snapshot != null, "Snapshot not found: %s",
snapshotId);
- Collection<PartitionStats> stats = PartitionStatsUtil.computeStats(table,
snapshot);
- if (stats.isEmpty()) {
+ StructType partitionType = Partitioning.partitionType(table);
+
+ PartitionMap<PartitionStats> resultStatsMap;
+ if (recompute) {
+ resultStatsMap = PartitionStatsUtil.computeStatsFull(table, snapshot);
+ } else {
+ resultStatsMap = incrementalComputeAndMerge(table, snapshot,
partitionType);
+ }
+
+ if (resultStatsMap.isEmpty()) {
return null;
}
- StructType partitionType = Partitioning.partitionType(table);
- List<PartitionStats> sortedStats = PartitionStatsUtil.sortStats(stats,
partitionType);
+ List<PartitionStats> sortedStats =
+ PartitionStatsUtil.sortStats(resultStatsMap.values(), partitionType);
return writePartitionStatsFile(
table, snapshot.snapshotId(), schema(partitionType), sortedStats);
}
+ private static PartitionMap<PartitionStats> incrementalComputeAndMerge(
+ Table table, Snapshot snapshot, StructType partitionType) throws
IOException {
+ PartitionStatisticsFile statisticsFile = latestStatsFile(table,
snapshot.snapshotId());
+ if (statisticsFile == null) {
+ throw new RuntimeException(
Review Comment:
My take on this is to always use `incremental` unless you explicitly need to
recompute.
`incremental` should be smart enough to decide if it needs to start from
scratch (first stats compute) or reuse prev stats, compute diff, and merge.
What is the benefit of "Previous stats not found for incremental compute.
Try full compute"? It just moves the need for exception handling to a client.
--
This is an automated message from the Apache Git Service.
To respond to the message, please log on to GitHub and use the
URL above to go to the specific comment.
To unsubscribe, e-mail: [email protected]
For queries about this service, please contact Infrastructure at:
[email protected]
---------------------------------------------------------------------
To unsubscribe, e-mail: [email protected]
For additional commands, e-mail: [email protected]
