srowen commented on a change in pull request #29542:
URL: https://github.com/apache/spark/pull/29542#discussion_r572100884



##########
File path: 
sql/core/src/main/java/org/apache/spark/sql/execution/datasources/parquet/SpecificParquetRecordReaderBase.java
##########
@@ -199,12 +151,21 @@ public void initialize(InputSplit inputSplit, 
TaskAttemptContext taskAttemptCont
    */
   protected void initialize(String path, List<String> columns) throws 
IOException {
     Configuration config = new Configuration();
-    config.set("spark.sql.parquet.binaryAsString", "false");
-    config.set("spark.sql.parquet.int96AsTimestamp", "false");
+    config.setBoolean(SQLConf.PARQUET_BINARY_AS_STRING().key() , false);
+    config.setBoolean(SQLConf.PARQUET_INT96_AS_TIMESTAMP().key(), false);
 
     this.file = new Path(path);
     long length = 
this.file.getFileSystem(config).getFileStatus(this.file).getLen();
-    ParquetMetadata footer = readFooter(config, file, range(0, length));
+    ParquetReadOptions options = HadoopReadOptions
+      .builder(config)
+      .withRange(0, length)
+      .build();
+
+    ParquetMetadata footer;
+    try (ParquetFileReader reader = ParquetFileReader

Review comment:
       Do we need a benchmark here or is that probably convincing? this would 
be a good simplifying change but yeah the only real question is whether there 
are any side effects.




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