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I had run same SQL use spark-3.3, the only difference is data source,one is hive and another is iceberg。The web UI show that, however, iceberg read all table (e.g, 1.1TB), but hive read much less than iceberg (e.g, 40GB). I guess the reason is hive can prune data through the predicate pushdown and iceberg don't support it, is this right?
The text was updated successfully, but these errors were encountered:
Depends on the query, there are some finicky details there but sometimes (especially in early versions of Iceberg and Spark) predicates don't translate correctly.
Iceberg does support Predicate Pushdown, the rules are just slightly different but in general if the types match up correctly everything should be exactly the same.
I had run same SQL use spark-3.3, the only difference is data source,one is hive and another is iceberg。The web UI show that, however, iceberg read all table (e.g, 1.1TB), but hive read much less than iceberg (e.g, 40GB). I guess the reason is hive can prune data through the predicate pushdown and iceberg don't support it, is this right?
The text was updated successfully, but these errors were encountered: