nastra commented on code in PR #7587:
URL: https://github.com/apache/iceberg/pull/7587#discussion_r1191934971
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spark/v3.4/spark/src/jmh/java/org/apache/iceberg/spark/data/parquet/SparkParquetReadersFlatDataBenchmark.java:
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@@ -214,6 +216,8 @@ public void readWithProjectionUsingSparkReader(Blackhole
blackhole) throws IOExc
.set("spark.sql.parquet.binaryAsString", "false")
.set("spark.sql.parquet.int96AsTimestamp", "false")
.set("spark.sql.caseSensitive", "false")
+ .set("spark.sql.parquet.inferTimestampNTZ.enabled", "false")
+ .set("spark.sql.legacy.parquet.nanosAsLong", "false")
Review Comment:
it seems that `spark.sql.legacy.parquet.nanosAsLong` might be required for
our Spark
[3.3](https://github.com/apache/spark/blame/v3.2.4/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/parquet/ParquetSchemaConverter.scala)
+
[3.2](https://github.com/apache/spark/blame/v3.3.2/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/parquet/ParquetSchemaConverter.scala#L70)
benchmarks as well
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