Trying to understand output of pyspark dataframe to parquet format conversion - hadoop

Question

I am running below psypark code (pyspark version is 1.6.0)
from pyspark.sql import HiveContext
from pyspark import SparkContext, SparkConf
if __name__ == '__main__':
conf = SparkConf().setAppName('Testing')
sc = SparkContext(conf=conf)
hivec = HiveContext(sc)
df = hivec.sql("select * from product_replica where product_price>100")
df.write.option("compression","snappy").mode("overwrite").save("/user/cloudera/practice1/problem8/product/output",format="parquet")
sc.stop()
The output i am getting is as below, even though the parquet files are created in hdfs directory but i cannot read them with parque-tools. I get error .parquet file doesnt exist
[cloudera#quickstart sparkTransformationsPractice]$ spark-submit hive_context.py
SLF4J: Class path contains multiple SLF4J bindings.
SLF4J: Found binding in
[jar:file:/usr/lib/hive/lib/hive-exec-1.1.0-cdh5.13.0.jar!/shaded/parquet/org/slf4j/impl/StaticLoggerBinder.class]
SLF4J: Found binding in
[jar:file:/usr/lib/hive/lib/hive-jdbc-1.1.0-cdh5.13.0-standalone.jar!/shaded/parquet/org/slf4j/impl/StaticLoggerBinder.class]
SLF4J: Found binding in
[jar:file:/usr/lib/parquet/lib/parquet-format-2.1.0-cdh5.13.0.jar!/shaded/parquet/org/slf4j/impl/StaticLoggerBinder.class]
SLF4J: Found binding in
[jar:file:/usr/lib/parquet/lib/parquet-hadoop-bundle-1.5.0-cdh5.13.0.jar!/shaded/parquet/org/slf4j/impl/StaticLoggerBinder.class]
SLF4J: Found binding in
[jar:file:/usr/lib/parquet/lib/parquet-pig-bundle-1.5.0-cdh5.13.0.jar!/shaded/parquet/org/slf4j/impl/StaticLoggerBinder.class]
SLF4J: See http://www.slf4j.org/codes.html#multiple_bindings for an
explanation. SLF4J: Actual binding is of type
[shaded.parquet.org.slf4j.helpers.NOPLoggerFactory] 19/12/11 11:21:14
WARN thread.QueuedThreadPool: 2 threads could not be stopped
Can you please explain what this output means, I think i might be doing something wrong