andrey-mindrin commented on issue #4217:
URL: https://github.com/apache/iceberg/issues/4217#issuecomment-1050642335


   Additional information. Total size of data is about 300 Gb in parquet, tried 
different options for iceberg tables including vectorization, distributed by 
hash and range. Iceberg tables created with a query like
   
   `create table ice_table using iceberg partition by (column) location 
‘hdfs://location’ 
tblproperties(‘vectorization-enabled’=true,’write.parquet.compression-codec’=’snappy’,’
 write.distribution-mode’=’hash’) as select * from hive_table `
   
   Analyzing query plans in Spark for query q7-v2.4 shows different join types 
– SortMergeJoin in Iceberg and BroadcastHashJoin in Hive tables. 
   


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