Nicholas Chammas created SPARK-7442:
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Summary: Spark 1.3.1 / Hadoop 2.6 prebuilt pacakge has a broken S3
filesystem API
Key: SPARK-7442
URL: https://issues.apache.org/jira/browse/SPARK-7442
Project: Spark
Issue Type: Bug
Components: Build
Affects Versions: 1.3.1
Environment: OS X
Reporter: Nicholas Chammas
# Download Spark 1.3.1 pre-built for Hadoop 2.6 from the [Spark downloads
page|http://spark.apache.org/downloads.html].
# Add {{localhost}} to your {{slaves}} file and {{start-all.sh}}
# Fire up PySpark and try reading from S3 with something like this:
{code}sc.textFile('s3n://bucket/file_*').count(){code}
# You will get an error like this:
{code}py4j.protocol.Py4JJavaError: An error occurred while calling
z:org.apache.spark.api.python.PythonRDD.collectAndServe.
: java.io.IOException: No FileSystem for scheme: s3n{code}
{{file:///...}} works. Spark 1.3.1 prebuilt for Hadoop 2.4 works. Spark 1.3.0
works.
It's just the combination of Spark 1.3.1 prebuilt for Hadoop 2.6 that doesn't
work.
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