Some things just didn't work as i had first expected it. For example, when writing from a spark collection to an alluxio destination didn't persist them to s3 automatically.
I remember having to use the alluxio library directly to force the files to persist to s3 after spark finished writing to alluxio. On Fri, May 12, 2017 at 6:52 AM, Gene Pang <gene.p...@gmail.com> wrote: > Hi, > > Yes, you can use Alluxio with Spark to read/write to S3. Here is a blog post > on Spark + Alluxio + S3, and here is some documentation for configuring > Alluxio + S3 and configuring Spark + Alluxio. > > 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 >> > --------------------------------------------------------------------- To unsubscribe e-mail: user-unsubscr...@spark.apache.org
