sunchao commented on a change in pull request #34659:
URL: https://github.com/apache/spark/pull/34659#discussion_r774275032
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File path:
sql/core/src/main/java/org/apache/spark/sql/execution/datasources/parquet/SpecificParquetRecordReaderBase.java
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@@ -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:
Thanks! let me try to reproduce the above scenario (it'd be great if you
already have some code snippet to share) locally and see what's the causing the
perf issue in `ParquetToSparkSchemaConverter#convertInternal`. Ideally we can
skip the code path if the schema doesn't contain complex types.
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