AFAIK, the newest, best S3 implementation for Hadoop + Spark is invoked by using the "s3a://" url protocol. This works great on pre-configured Amazon EMR.
However, when running on a local dev system using the pre-built spark-2.0.0-bin-hadoop2.7.tgz, I get
Caused by: java.lang.ClassNotFoundException: Class org.apache.hadoop.fs.s3a.S3AFileSystem not found
at org.apache.hadoop.conf.Configuration.getClassByName(Configuration.java:2101)
at org.apache.hadoop.conf.Configuration.getClass(Configuration.java:2193)
... 99 more
Next I tried to launch my Spark job specifying the hadoop-aws addon:
$SPARK_HOME/bin/spark-submit --master local \
--packages org.apache.hadoop:hadoop-aws:2.7.3 \
my_spark_program.py
I get
::::::::::::::::::::::::::::::::::::::::::::::
:: FAILED DOWNLOADS ::
:: ^ see resolution messages for details ^ ::
::::::::::::::::::::::::::::::::::::::::::::::
:: com.google.code.findbugs#jsr305;3.0.0!jsr305.jar
:: org.apache.avro#avro;1.7.4!avro.jar
:: org.xerial.snappy#snappy-java;1.0.4.1!snappy-java.jar(bundle)
::::::::::::::::::::::::::::::::::::::::::::::
I made a dummy build.sbt project in a temp directory with those three dependencies to see if a basic sbt build could successfully download those and I got:
[error] (*:update) sbt.ResolveException: unresolved dependency: org.apache.avro#avro;1.7.4: several problems occurred while resolving dependency: org.apache.avro#avro;1.7.4 {compile=[default(compile)]}:
[error] org.apache.avro#avro;1.7.4!avro.pom(pom.original) origin location must be absolute: file:/Users/username/.m2/repository/org/apache/avro/avro/1.7.4/avro-1.7.4.pom
[error] org.apache.avro#avro;1.7.4!avro.pom(pom.original) origin location must be absolute: file:/Users/username/.m2/repository/org/apache/avro/avro/1.7.4/avro-1.7.4.pom
[error]
[error] unresolved dependency: com.google.code.findbugs#jsr305;3.0.0: several problems occurred while resolving dependency: com.google.code.findbugs#jsr305;3.0.0 {compile=[default(compile)]}:
[error] com.google.code.findbugs#jsr305;3.0.0!jsr305.pom(pom.original) origin location must be absolute: file:/Users/username/.m2/repository/com/google/code/findbugs/jsr305/3.0.0/jsr305-3.0.0.pom
[error] com.google.code.findbugs#jsr305;3.0.0!jsr305.pom(pom.original) origin location must be absolute: file:/Users/username/.m2/repository/com/google/code/findbugs/jsr305/3.0.0/jsr305-3.0.0.pom
[error]
[error] unresolved dependency: org.xerial.snappy#snappy-java;1.0.4.1: several problems occurred while resolving dependency: org.xerial.snappy#snappy-java;1.0.4.1 {compile=[default(compile)]}:
[error] org.xerial.snappy#snappy-java;1.0.4.1!snappy-java.pom(pom.original) origin location must be absolute: file:/Users/username/.m2/repository/org/xerial/snappy/snappy-java/1.0.4.1/snappy-java-1.0.4.1.pom
[error] org.xerial.snappy#snappy-java;1.0.4.1!snappy-java.pom(pom.original) origin location must be absolute: file:/Users/username/.m2/repository/org/xerial/snappy/snappy-java/1.0.4.1/snappy-java-1.0.4.1.pom
[error] Total time: 2 s, completed Sep 2, 2016 6:47:17 PM
Any ideas on how I can get this working?
It looks like you need additional jars in your submit flag. The Maven repository has a number of AWS packages for Java which you can use to fix your current error: https://mvnrepository.com/search?q=aws
I continuously receive headaches with the S3A filesystem error; but the aws-java-sdk:1.7.4 jar works for Spark 2.0.
Further dialogue on the matter can be found here; albeit there is indeed an actual package in the Maven AWS EC2 repository.
https://sparkour.urizone.net/recipes/using-s3/
Try this:
spark-submit --packages com.amazonaws:aws-java-sdk:1.7.4,org.apache.hadoop:hadoop-aws:2.7.3 my_spark_program.py
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