I created the cluster with the following: --hadoop-major-version=2 --spark-version=1.4.1
from: spark-1.5.1-bin-hadoop1 Are you saying there might be different behavior if I download spark-1.5.1-hadoop-2.6 and create my cluster? On Thu, Nov 5, 2015 at 1:28 PM, Christian <engr...@gmail.com> wrote: > Spark 1.5.1-hadoop1 > > On Thu, Nov 5, 2015 at 10:28 AM, Nicholas Chammas < > nicholas.cham...@gmail.com> wrote: > >> > I am using both 1.4.1 and 1.5.1. >> >> That's the Spark version. I'm wondering what version of Hadoop your Spark >> is built against. >> >> For example, when you download Spark >> <http://spark.apache.org/downloads.html> you have to select from a >> number of packages (under "Choose a package type"), and each is built >> against a different version of Hadoop. When Spark is built against Hadoop >> 2.6+, from my understanding, you need to install additional libraries >> <https://issues.apache.org/jira/browse/SPARK-7481> to access S3. When >> Spark is built against Hadoop 2.4 or earlier, you don't need to do this. >> >> I'm confirming that this is what is happening in your case. >> >> Nick >> >> On Thu, Nov 5, 2015 at 12:17 PM Christian <engr...@gmail.com> wrote: >> >>> I am using both 1.4.1 and 1.5.1. In the end, we used 1.5.1 because of >>> the new feature for instance-profile which greatly helps with this as well. >>> Without the instance-profile, we got it working by copying a >>> .aws/credentials file up to each node. We could easily automate that >>> through the templates. >>> >>> I don't need any additional libraries. We just need to change the >>> core-site.xml >>> >>> -Christian >>> >>> On Thu, Nov 5, 2015 at 9:35 AM, Nicholas Chammas < >>> nicholas.cham...@gmail.com> wrote: >>> >>>> Thanks for sharing this, Christian. >>>> >>>> What build of Spark are you using? If I understand correctly, if you >>>> are using Spark built against Hadoop 2.6+ then additional configs alone >>>> won't help because additional libraries also need to be installed >>>> <https://issues.apache.org/jira/browse/SPARK-7481>. >>>> >>>> Nick >>>> >>>> On Thu, Nov 5, 2015 at 11:25 AM Christian <engr...@gmail.com> wrote: >>>> >>>>> We ended up reading and writing to S3 a ton in our Spark jobs. >>>>> For this to work, we ended up having to add s3a, and s3 key/secret >>>>> pairs. We also had to add fs.hdfs.impl to get these things to work. >>>>> >>>>> I thought maybe I'd share what we did and it might be worth adding >>>>> these to the spark conf for out of the box functionality with S3. >>>>> >>>>> We created: >>>>> >>>>> ec2/deploy.generic/root/spark-ec2/templates/root/spark/conf/core-site.xml >>>>> >>>>> We changed the contents form the original, adding in the following: >>>>> >>>>> <property> >>>>> <name>fs.file.impl</name> >>>>> <value>org.apache.hadoop.fs.LocalFileSystem</value> >>>>> </property> >>>>> >>>>> <property> >>>>> <name>fs.hdfs.impl</name> >>>>> <value>org.apache.hadoop.hdfs.DistributedFileSystem</value> >>>>> </property> >>>>> >>>>> <property> >>>>> <name>fs.s3.impl</name> >>>>> <value>org.apache.hadoop.fs.s3native.NativeS3FileSystem</value> >>>>> </property> >>>>> >>>>> <property> >>>>> <name>fs.s3.awsAccessKeyId</name> >>>>> <value>{{aws_access_key_id}}</value> >>>>> </property> >>>>> >>>>> <property> >>>>> <name>fs.s3.awsSecretAccessKey</name> >>>>> <value>{{aws_secret_access_key}}</value> >>>>> </property> >>>>> >>>>> <property> >>>>> <name>fs.s3n.awsAccessKeyId</name> >>>>> <value>{{aws_access_key_id}}</value> >>>>> </property> >>>>> >>>>> <property> >>>>> <name>fs.s3n.awsSecretAccessKey</name> >>>>> <value>{{aws_secret_access_key}}</value> >>>>> </property> >>>>> >>>>> <property> >>>>> <name>fs.s3a.awsAccessKeyId</name> >>>>> <value>{{aws_access_key_id}}</value> >>>>> </property> >>>>> >>>>> <property> >>>>> <name>fs.s3a.awsSecretAccessKey</name> >>>>> <value>{{aws_secret_access_key}}</value> >>>>> </property> >>>>> >>>>> This change makes spark on ec2 work out of the box for us. It took us >>>>> several days to figure this out. It works for 1.4.1 and 1.5.1 on Hadoop >>>>> version 2. >>>>> >>>>> Best Regards, >>>>> Christian >>>>> >>>> >>> >
