How to suppress parquet log messages in Spark?

Question

How to stop such messages from coming on my spark-shell console.

5 May, 2015 5:14:30 PM INFO: parquet.hadoop.InternalParquetRecordReader: at row 0. reading next block
5 May, 2015 5:14:30 PM INFO: parquet.hadoop.InternalParquetRecordReader: RecordReader initialized will read a total of 89213 records.
5 May, 2015 5:14:30 PM INFO: parquet.hadoop.InternalParquetRecordReader: block read in memory in 2 ms. row count = 120141
5 May, 2015 5:14:30 PM INFO: parquet.hadoop.InternalParquetRecordReader: at row 0. reading next block
5 May, 2015 5:14:30 PM INFO: parquet.hadoop.InternalParquetRecordReader: block read in memory in 2 ms. row count = 89213
5 May, 2015 5:14:30 PM WARNING: parquet.hadoop.ParquetRecordReader: Can not initialize counter due to context is not a instance of TaskInputOutp
[Stage 12:=================================================>    (184 + 4) / 200]

Thanks

Answer 1

The solution from SPARK-8118 issue comment seem to work:

You can disable the chatty output by creating a properties file with these contents:

org.apache.parquet.handlers=java.util.logging.ConsoleHandler
java.util.logging.ConsoleHandler.level=SEVERE

And then passing the path of the file to Spark when the application is submitted. Assuming the file lives in /tmp/parquet.logging.properties (of course, that needs to be available on all worker nodes):

spark-submit \
     --conf spark.driver.extraJavaOptions="-Djava.util.logging.config.file=/tmp/parquet.logging.properties" \`
      --conf spark.executor.extraJavaOptions="-Djava.util.logging.config.file=/tmp/parquet.logging.properties" \
      ... 

Credits go to Justin Bailey.