nsivabalan commented on code in PR #13976:
URL: https://github.com/apache/hudi/pull/13976#discussion_r2374665803
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hudi-common/src/main/java/org/apache/hudi/common/data/HoodieData.java:
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@@ -220,6 +220,15 @@ <O> HoodieData<O>
mapPartitions(SerializableFunction<Iterator<T>,
*/
HoodieData<T> repartition(int parallelism);
+ /**
+ * Coalesces underlying collection (if applicable) making sure new {@link
HoodieData} has
+ * exactly {@code parallelism} partitions or less.
+ *
+ * @param parallelism target number of partitions in the underlying
collection
+ * @return {@link HoodieData<T>} holding coalesced collection
+ */
+ HoodieData<T> coalesce(int parallelism);
Review Comment:
actually, w/ bulk_insert row writer, using coalesce is resulting in all data
table tasks written using 1 spark task. So, I switched to using
`repartition(1)` and we don't see the issue anymore.
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