voonhous opened a new pull request, #19808:
URL: https://github.com/apache/hudi/pull/19808
Flip hoodie.parquet.variant.shredding.schema.inference.enabled to true,
closing #19690. Spark 4.1 itself defaults both
spark.sql.variant.writeShredding.enabled and
spark.sql.variant.inferShreddingSchema to true, so a Hudi table on Spark 4.1
was the one parquet writer in that stack still producing unshredded variant
columns.
Only writers with a Spark 4.1+ inferrer on the classpath change behavior:
Spark 3.x, Spark 4.0, Flink and Java writers keep writing unshredded files,
which the Avro-factory test now pins with a stock config. Shredded files need
Spark 4.1+ to read; Spark 4.0, Hive and Flink fail fast on them (#19687), so
the config doc carries the reader matrix, the opt-out and the clustering-based
un-shred recipe.
TestVariantSchemaUtils pins the new default and sets the flag off explicitly
where it tested the disabled path. No Spark assertion moved: every
unshredded-layout pin already disables write shredding or inference explicitly.
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