Hi, Yes, you can use Alluxio with Spark to read/write to S3. Here is a blog post on Spark + Alluxio + S3 <https://www.alluxio.com/blog/accelerating-on-demand-data-analytics-with-alluxio>, and here is some documentation for configuring Alluxio + S3 <http://www.alluxio.org/docs/master/en/Configuring-Alluxio-with-S3.html> and configuring Spark + Alluxio <http://www.alluxio.org/docs/master/en/Running-Spark-on-Alluxio.html>.
You mentioned that it required a lot of effort to get working. May I ask what you ran into, and how you got it to work? Thanks, Gene On Thu, May 11, 2017 at 11:55 AM, Miguel Morales <therevolti...@gmail.com> wrote: > Might want to try to use gzip as opposed to parquet. The only way i > ever reliably got parquet to work on S3 is by using Alluxio as a > buffer, but it's a decent amount of work. > > On Thu, May 11, 2017 at 11:50 AM, lucas.g...@gmail.com > <lucas.g...@gmail.com> wrote: > > Also, and this is unrelated to the actual question... Why don't these > > messages show up in the archive? > > > > http://apache-spark-user-list.1001560.n3.nabble.com/ > > > > Ideally I'd want to post a link to our internal wiki for these questions, > > but can't find them in the archive. > > > > On 11 May 2017 at 07:16, lucas.g...@gmail.com <lucas.g...@gmail.com> > wrote: > >> > >> Looks like this isn't viable in spark 2.0.0 (and greater I presume). > I'm > >> pretty sure I came across this blog and ignored it due to that. > >> > >> Any other thoughts? The linked tickets in: > >> https://issues.apache.org/jira/browse/SPARK-10063 > >> https://issues.apache.org/jira/browse/HADOOP-13786 > >> https://issues.apache.org/jira/browse/HADOOP-9565 look relevant too. > >> > >> On 10 May 2017 at 22:24, Miguel Morales <therevolti...@gmail.com> > wrote: > >>> > >>> Try using the DirectParquetOutputCommiter: > >>> http://dev.sortable.com/spark-directparquetoutputcommitter/ > >>> > >>> On Wed, May 10, 2017 at 10:07 PM, lucas.g...@gmail.com > >>> <lucas.g...@gmail.com> wrote: > >>> > Hi users, we have a bunch of pyspark jobs that are using S3 for > loading > >>> > / > >>> > intermediate steps and final output of parquet files. > >>> > > >>> > We're running into the following issues on a semi regular basis: > >>> > * These are intermittent errors, IE we have about 300 jobs that run > >>> > nightly... And a fairly random but small-ish percentage of them fail > >>> > with > >>> > the following classes of errors. > >>> > > >>> > S3 write errors > >>> > > >>> >> "ERROR Utils: Aborting task > >>> >> com.amazonaws.services.s3.model.AmazonS3Exception: Status Code: > 404, > >>> >> AWS > >>> >> Service: Amazon S3, AWS Request ID: 2D3RP, AWS Error Code: null, AWS > >>> >> Error > >>> >> Message: Not Found, S3 Extended Request ID: BlaBlahEtc=" > >>> > > >>> > > >>> >> > >>> >> "Py4JJavaError: An error occurred while calling o43.parquet. > >>> >> : com.amazonaws.services.s3.model.MultiObjectDeleteException: > Status > >>> >> Code: > >>> >> 0, AWS Service: null, AWS Request ID: null, AWS Error Code: null, > AWS > >>> >> Error > >>> >> Message: One or more objects could not be deleted, S3 Extended > Request > >>> >> ID: > >>> >> null" > >>> > > >>> > > >>> > > >>> > S3 Read Errors: > >>> > > >>> >> [Stage 1:=================================================> > (27 > >>> >> + 4) > >>> >> / 31]17/05/10 16:25:23 ERROR Executor: Exception in task 10.0 in > stage > >>> >> 1.0 > >>> >> (TID 11) > >>> >> java.net.SocketException: Connection reset > >>> >> at java.net.SocketInputStream.read(SocketInputStream.java:196) > >>> >> at java.net.SocketInputStream.read(SocketInputStream.java:122) > >>> >> at sun.security.ssl.InputRecord.readFully(InputRecord.java:442) > >>> >> at sun.security.ssl.InputRecord.readV3Record(InputRecord.java:554) > >>> >> at sun.security.ssl.InputRecord.read(InputRecord.java:509) > >>> >> at sun.security.ssl.SSLSocketImpl.readRecord( > SSLSocketImpl.java:927) > >>> >> at > >>> >> sun.security.ssl.SSLSocketImpl.readDataRecord( > SSLSocketImpl.java:884) > >>> >> at sun.security.ssl.AppInputStream.read(AppInputStream.java:102) > >>> >> at > >>> >> > >>> >> org.apache.http.impl.io.AbstractSessionInputBuffer.read( > AbstractSessionInputBuffer.java:198) > >>> >> at > >>> >> > >>> >> org.apache.http.impl.io.ContentLengthInputStream.read( > ContentLengthInputStream.java:178) > >>> >> at > >>> >> > >>> >> org.apache.http.impl.io.ContentLengthInputStream.read( > ContentLengthInputStream.java:200) > >>> >> at > >>> >> > >>> >> org.apache.http.impl.io.ContentLengthInputStream.close( > ContentLengthInputStream.java:103) > >>> >> at > >>> >> > >>> >> org.apache.http.conn.BasicManagedEntity.streamClosed( > BasicManagedEntity.java:168) > >>> >> at > >>> >> > >>> >> org.apache.http.conn.EofSensorInputStream.checkClose( > EofSensorInputStream.java:228) > >>> >> at > >>> >> > >>> >> org.apache.http.conn.EofSensorInputStream.close( > EofSensorInputStream.java:174) > >>> >> at java.io.FilterInputStream.close(FilterInputStream.java:181) > >>> >> at java.io.FilterInputStream.close(FilterInputStream.java:181) > >>> >> at java.io.FilterInputStream.close(FilterInputStream.java:181) > >>> >> at java.io.FilterInputStream.close(FilterInputStream.java:181) > >>> >> at com.amazonaws.services.s3.model.S3Object.close(S3Object. > java:203) > >>> >> at > >>> >> org.apache.hadoop.fs.s3a.S3AInputStream.close( > S3AInputStream.java:187) > >>> > > >>> > > >>> > > >>> > We have literally tons of logs we can add but it would make the email > >>> > unwieldy big. If it would be helpful I'll drop them in a pastebin or > >>> > something. > >>> > > >>> > Our config is along the lines of: > >>> > > >>> > spark-2.1.0-bin-hadoop2.7 > >>> > '--packages > >>> > com.amazonaws:aws-java-sdk:1.10.34,org.apache.hadoop: > hadoop-aws:2.6.0 > >>> > pyspark-shell' > >>> > > >>> > Given the stack overflow / googling I've been doing I know we're not > >>> > the > >>> > only org with these issues but I haven't found a good set of > solutions > >>> > in > >>> > those spaces yet. > >>> > > >>> > Thanks! > >>> > > >>> > Gary Lucas > >> > >> > > > > --------------------------------------------------------------------- > To unsubscribe e-mail: user-unsubscr...@spark.apache.org > >
