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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