bersprockets commented on a change in pull request #34659:
URL: https://github.com/apache/spark/pull/34659#discussion_r779225423
##########
File path:
sql/core/src/main/java/org/apache/spark/sql/execution/datasources/parquet/SpecificParquetRecordReaderBase.java
##########
@@ -103,9 +104,14 @@ public void initialize(InputSplit inputSplit,
TaskAttemptContext taskAttemptCont
fileReader.setRequestedSchema(requestedSchema);
String sparkRequestedSchemaString =
configuration.get(ParquetReadSupport$.MODULE$.SPARK_ROW_REQUESTED_SCHEMA());
- this.sparkSchema =
StructType$.MODULE$.fromString(sparkRequestedSchemaString);
+ StructType sparkRequestedSchema =
StructType$.MODULE$.fromString(sparkRequestedSchemaString);
+ ParquetToSparkSchemaConverter converter = new
ParquetToSparkSchemaConverter(configuration);
+ this.parquetColumn = converter.convertParquetColumn(requestedSchema,
Review comment:
>how can I reproduce the 10-15% performance penalty
Maybe my old 2015 2.5 GHz MBP just feels it more strongly.
I launched spark-shell it with this command line
```
bin/spark-shell --driver-memory 5g --master "local[1]"
```
Maybe the 5g makes a difference (e.g., more pressure on the garbage
collector when there are lots of OnHeapColumnVector instances).
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