[jira] [Commented] (SPARK-23534) Spark run on Hadoop 3.0.0
[ https://issues.apache.org/jira/browse/SPARK-23534?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16989254#comment-16989254 ] t oo commented on SPARK-23534: -- close? > Spark run on Hadoop 3.0.0 > - > > Key: SPARK-23534 > URL: https://issues.apache.org/jira/browse/SPARK-23534 > Project: Spark > Issue Type: Improvement > Components: Build >Affects Versions: 2.3.0 >Reporter: Saisai Shao >Priority: Major > > Major Hadoop vendors already/will step in Hadoop 3.0. So we should also make > sure Spark can run with Hadoop 3.0. This Jira tracks the work to make Spark > run on Hadoop 3.0. > The work includes: > # Add a Hadoop 3.0.0 new profile to make Spark build-able with Hadoop 3.0. > # Test to see if there's dependency issues with Hadoop 3.0. > # Investigating the feasibility to use shaded client jars (HADOOP-11804). -- This message was sent by Atlassian Jira (v8.3.4#803005) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Commented] (SPARK-23534) Spark run on Hadoop 3.0.0
[ https://issues.apache.org/jira/browse/SPARK-23534?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16767195#comment-16767195 ] Darek commented on SPARK-23534: --- It's NOT just Hadoop, it's Java 1.8 which is EOL and needs to be upgraded, Azure blob storage library and host of others. Life needs to move on if were to continue using Spark, otherwise it's time to move to something that uses current technologies. > Spark run on Hadoop 3.0.0 > - > > Key: SPARK-23534 > URL: https://issues.apache.org/jira/browse/SPARK-23534 > Project: Spark > Issue Type: Improvement > Components: Build >Affects Versions: 2.3.0 >Reporter: Saisai Shao >Priority: Major > > Major Hadoop vendors already/will step in Hadoop 3.0. So we should also make > sure Spark can run with Hadoop 3.0. This Jira tracks the work to make Spark > run on Hadoop 3.0. > The work includes: > # Add a Hadoop 3.0.0 new profile to make Spark build-able with Hadoop 3.0. > # Test to see if there's dependency issues with Hadoop 3.0. > # Investigating the feasibility to use shaded client jars (HADOOP-11804). -- This message was sent by Atlassian JIRA (v7.6.3#76005) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Commented] (SPARK-23534) Spark run on Hadoop 3.0.0
[ https://issues.apache.org/jira/browse/SPARK-23534?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16767077#comment-16767077 ] Steve Loughran commented on SPARK-23534: bq. am curious to know if hadoop3 offers much performance benefit if you are using S3 as the destination of work you get an output committer which is O(files), not O(data), and can cope with an inconsistent store (HADOOP-13786). Not sure of what else you can point to and say "tangible speedup", though can point to stuff and and say 'tangible functionality improvement" with Hadoop 3.2 spark can generate delegation tokens for an S3 filesystem during spark-submit (HADOOP-14556), and include them in the Yarn app launch. This lets you deploy a cluster in EC2 with the VMs deployed in an IAM role with lower privileges than you: a generated session login and your encryption secrets will come with the job. This is very slick. And if you ask for role delegation tokens then the generated token is limited to the specific s3 bucket and DDB table you are working with. Video of distcp in action: https://www.youtube.com/watch?v=rpyLkDEzIxI Also ships with the abfs:// connector to Azure Datalake Gen 2 storage; Microsoft's latest iteration of Azure storage. > Spark run on Hadoop 3.0.0 > - > > Key: SPARK-23534 > URL: https://issues.apache.org/jira/browse/SPARK-23534 > Project: Spark > Issue Type: Improvement > Components: Build >Affects Versions: 2.3.0 >Reporter: Saisai Shao >Priority: Major > > Major Hadoop vendors already/will step in Hadoop 3.0. So we should also make > sure Spark can run with Hadoop 3.0. This Jira tracks the work to make Spark > run on Hadoop 3.0. > The work includes: > # Add a Hadoop 3.0.0 new profile to make Spark build-able with Hadoop 3.0. > # Test to see if there's dependency issues with Hadoop 3.0. > # Investigating the feasibility to use shaded client jars (HADOOP-11804). -- This message was sent by Atlassian JIRA (v7.6.3#76005) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Commented] (SPARK-23534) Spark run on Hadoop 3.0.0
[ https://issues.apache.org/jira/browse/SPARK-23534?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16766710#comment-16766710 ] Hyukjin Kwon commented on SPARK-23534: -- It's blocked by Hive upgrade. We should resolve that first before starting about other Hadoop versions. > Spark run on Hadoop 3.0.0 > - > > Key: SPARK-23534 > URL: https://issues.apache.org/jira/browse/SPARK-23534 > Project: Spark > Issue Type: Improvement > Components: Build >Affects Versions: 2.3.0 >Reporter: Saisai Shao >Priority: Major > > Major Hadoop vendors already/will step in Hadoop 3.0. So we should also make > sure Spark can run with Hadoop 3.0. This Jira tracks the work to make Spark > run on Hadoop 3.0. > The work includes: > # Add a Hadoop 3.0.0 new profile to make Spark build-able with Hadoop 3.0. > # Test to see if there's dependency issues with Hadoop 3.0. > # Investigating the feasibility to use shaded client jars (HADOOP-11804). -- This message was sent by Atlassian JIRA (v7.6.3#76005) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Commented] (SPARK-23534) Spark run on Hadoop 3.0.0
[ https://issues.apache.org/jira/browse/SPARK-23534?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16766577#comment-16766577 ] t oo commented on SPARK-23534: -- time for hadoop 3.2 profile? am curious to know if hadoop3 offers much performance benefit > Spark run on Hadoop 3.0.0 > - > > Key: SPARK-23534 > URL: https://issues.apache.org/jira/browse/SPARK-23534 > Project: Spark > Issue Type: Improvement > Components: Build >Affects Versions: 2.3.0 >Reporter: Saisai Shao >Priority: Major > > Major Hadoop vendors already/will step in Hadoop 3.0. So we should also make > sure Spark can run with Hadoop 3.0. This Jira tracks the work to make Spark > run on Hadoop 3.0. > The work includes: > # Add a Hadoop 3.0.0 new profile to make Spark build-able with Hadoop 3.0. > # Test to see if there's dependency issues with Hadoop 3.0. > # Investigating the feasibility to use shaded client jars (HADOOP-11804). -- This message was sent by Atlassian JIRA (v7.6.3#76005) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Commented] (SPARK-23534) Spark run on Hadoop 3.0.0
[ https://issues.apache.org/jira/browse/SPARK-23534?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16528412#comment-16528412 ] t oo commented on SPARK-23534: -- Should this jira title be renamed to hadoop 3.1? as it looks like hadoop 3.0 profile was skipped > Spark run on Hadoop 3.0.0 > - > > Key: SPARK-23534 > URL: https://issues.apache.org/jira/browse/SPARK-23534 > Project: Spark > Issue Type: Improvement > Components: Build >Affects Versions: 2.3.0 >Reporter: Saisai Shao >Priority: Major > > Major Hadoop vendors already/will step in Hadoop 3.0. So we should also make > sure Spark can run with Hadoop 3.0. This Jira tracks the work to make Spark > run on Hadoop 3.0. > The work includes: > # Add a Hadoop 3.0.0 new profile to make Spark build-able with Hadoop 3.0. > # Test to see if there's dependency issues with Hadoop 3.0. > # Investigating the feasibility to use shaded client jars (HADOOP-11804). -- This message was sent by Atlassian JIRA (v7.6.3#76005) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Commented] (SPARK-23534) Spark run on Hadoop 3.0.0
[ https://issues.apache.org/jira/browse/SPARK-23534?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16506023#comment-16506023 ] Saisai Shao commented on SPARK-23534: - Yes, it is a Hadoop 2.8+ issue, but we don't a 2.8 profile for Spark, instead we have a 3.1 profile, so it will affect our hadoop 3 build, that's why also add a link here. > Spark run on Hadoop 3.0.0 > - > > Key: SPARK-23534 > URL: https://issues.apache.org/jira/browse/SPARK-23534 > Project: Spark > Issue Type: Improvement > Components: Build >Affects Versions: 2.3.0 >Reporter: Saisai Shao >Priority: Major > > Major Hadoop vendors already/will step in Hadoop 3.0. So we should also make > sure Spark can run with Hadoop 3.0. This Jira tracks the work to make Spark > run on Hadoop 3.0. > The work includes: > # Add a Hadoop 3.0.0 new profile to make Spark build-able with Hadoop 3.0. > # Test to see if there's dependency issues with Hadoop 3.0. > # Investigating the feasibility to use shaded client jars (HADOOP-11804). -- This message was sent by Atlassian JIRA (v7.6.3#76005) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Commented] (SPARK-23534) Spark run on Hadoop 3.0.0
[ https://issues.apache.org/jira/browse/SPARK-23534?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16506021#comment-16506021 ] Steve Loughran commented on SPARK-23534: [~jerryshao] is that the HDFS token identifier thing? In which case, it's actually a 2.8+ issue > Spark run on Hadoop 3.0.0 > - > > Key: SPARK-23534 > URL: https://issues.apache.org/jira/browse/SPARK-23534 > Project: Spark > Issue Type: Improvement > Components: Build >Affects Versions: 2.3.0 >Reporter: Saisai Shao >Priority: Major > > Major Hadoop vendors already/will step in Hadoop 3.0. So we should also make > sure Spark can run with Hadoop 3.0. This Jira tracks the work to make Spark > run on Hadoop 3.0. > The work includes: > # Add a Hadoop 3.0.0 new profile to make Spark build-able with Hadoop 3.0. > # Test to see if there's dependency issues with Hadoop 3.0. > # Investigating the feasibility to use shaded client jars (HADOOP-11804). -- This message was sent by Atlassian JIRA (v7.6.3#76005) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Commented] (SPARK-23534) Spark run on Hadoop 3.0.0
[ https://issues.apache.org/jira/browse/SPARK-23534?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16505771#comment-16505771 ] Saisai Shao commented on SPARK-23534: - Spark with Hadoop 3 will be failed in token renew for long running case (with keytab and principal). > Spark run on Hadoop 3.0.0 > - > > Key: SPARK-23534 > URL: https://issues.apache.org/jira/browse/SPARK-23534 > Project: Spark > Issue Type: Improvement > Components: Build >Affects Versions: 2.3.0 >Reporter: Saisai Shao >Priority: Major > > Major Hadoop vendors already/will step in Hadoop 3.0. So we should also make > sure Spark can run with Hadoop 3.0. This Jira tracks the work to make Spark > run on Hadoop 3.0. > The work includes: > # Add a Hadoop 3.0.0 new profile to make Spark build-able with Hadoop 3.0. > # Test to see if there's dependency issues with Hadoop 3.0. > # Investigating the feasibility to use shaded client jars (HADOOP-11804). -- This message was sent by Atlassian JIRA (v7.6.3#76005) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Commented] (SPARK-23534) Spark run on Hadoop 3.0.0
[
https://issues.apache.org/jira/browse/SPARK-23534?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16419053#comment-16419053
]
Steve Loughran commented on SPARK-23534:
[~nchammas]
bq. Cloudera still ships 2.6 and EMR is on 2.7.
EMR and google have 2.8.x options & CDH may be based on 2.6 but they've
backported and updated a lot. The aws & azure connectors on (HDP, CDH,
HD/Insights) are all very much 2.8.x+ source and dependencies
bq. Hadoop releases have historically been very disruptive, with
backwards-incompatible changes even in minor releases.
I don't disagree. But having the profiles so you can build and test this stuff
is how to find out the problems. The HBase team have already been fairly busy,
driving the development of a shaded client adequate for their needs...spark &
hadoop 3 helps identify & fix regressions, push that shaded jar to be complete,
etc. Profiles => build & tests => bug reports => fixes.
[~Bidek]
bq. I am afraid of using of older version of azure-storage because of all the
security issues that have been found and fixed in the newer version,
Hadoop 3.x is still shipping with Azure storage 5.4.0, and as that upgrade came
from Microsoft (HADOOP-14662) I think they'll be up to speed with any security
issues. That's in Hadoop 2.9.0 BTW.
If you really want that storage lib, build Spark against with {{-Phadoop-2.7
-Dhadoop.version=2.9.0}}. Hive will be happy.
> Spark run on Hadoop 3.0.0
> -
>
> Key: SPARK-23534
> URL: https://issues.apache.org/jira/browse/SPARK-23534
> Project: Spark
> Issue Type: Improvement
> Components: Build
>Affects Versions: 2.3.0
>Reporter: Saisai Shao
>Priority: Major
>
> Major Hadoop vendors already/will step in Hadoop 3.0. So we should also make
> sure Spark can run with Hadoop 3.0. This Jira tracks the work to make Spark
> run on Hadoop 3.0.
> The work includes:
> # Add a Hadoop 3.0.0 new profile to make Spark build-able with Hadoop 3.0.
> # Test to see if there's dependency issues with Hadoop 3.0.
> # Investigating the feasibility to use shaded client jars (HADOOP-11804).
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[jira] [Commented] (SPARK-23534) Spark run on Hadoop 3.0.0
[ https://issues.apache.org/jira/browse/SPARK-23534?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16408316#comment-16408316 ] Darek commented on SPARK-23534: --- It seems that Hive upgrade to 2.3.2 is almost done (https://issues.apache.org/jira/browse/SPARK-23710), once it's done, hopefully Hadoop 3.0 will build. > Spark run on Hadoop 3.0.0 > - > > Key: SPARK-23534 > URL: https://issues.apache.org/jira/browse/SPARK-23534 > Project: Spark > Issue Type: Improvement > Components: Build >Affects Versions: 2.3.0 >Reporter: Saisai Shao >Priority: Major > > Major Hadoop vendors already/will step in Hadoop 3.0. So we should also make > sure Spark can run with Hadoop 3.0. This Jira tracks the work to make Spark > run on Hadoop 3.0. > The work includes: > # Add a Hadoop 3.0.0 new profile to make Spark build-able with Hadoop 3.0. > # Test to see if there's dependency issues with Hadoop 3.0. > # Investigating the feasibility to use shaded client jars (HADOOP-11804). -- This message was sent by Atlassian JIRA (v7.6.3#76005) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Commented] (SPARK-23534) Spark run on Hadoop 3.0.0
[ https://issues.apache.org/jira/browse/SPARK-23534?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16407247#comment-16407247 ] Darek commented on SPARK-23534: --- https://github.com/Azure/azure-storage-java 7.0 will only work with org.apache.hadoop/hadoop-azure/3.0.0. I am afraid of using of older version of azure-storage because of all the security issues that have been found and fixed in the newer version, not to mention all the new features that Azure has added in the last 2 years. Using old software and public cloud = bad idea. > Spark run on Hadoop 3.0.0 > - > > Key: SPARK-23534 > URL: https://issues.apache.org/jira/browse/SPARK-23534 > Project: Spark > Issue Type: Improvement > Components: Build >Affects Versions: 2.3.0 >Reporter: Saisai Shao >Priority: Major > > Major Hadoop vendors already/will step in Hadoop 3.0. So we should also make > sure Spark can run with Hadoop 3.0. This Jira tracks the work to make Spark > run on Hadoop 3.0. > The work includes: > # Add a Hadoop 3.0.0 new profile to make Spark build-able with Hadoop 3.0. > # Test to see if there's dependency issues with Hadoop 3.0. > # Investigating the feasibility to use shaded client jars (HADOOP-11804). -- This message was sent by Atlassian JIRA (v7.6.3#76005) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Commented] (SPARK-23534) Spark run on Hadoop 3.0.0
[ https://issues.apache.org/jira/browse/SPARK-23534?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16405659#comment-16405659 ] Saisai Shao commented on SPARK-23534: - I'm curious why there's a library which depends on a such new version of Hadoop 3, does it required any specific feature that doesn't exist in Hadoop 2.7/2.8? Also for Java9, I'm not sure if Java9 is widely adopted in the community compared to Java8. Community version may not evolve so fast as you want. If you really want some specific thing, I would suggest to try building from source code, and change the code to fix incompatibilities. > Spark run on Hadoop 3.0.0 > - > > Key: SPARK-23534 > URL: https://issues.apache.org/jira/browse/SPARK-23534 > Project: Spark > Issue Type: Improvement > Components: Build >Affects Versions: 2.3.0 >Reporter: Saisai Shao >Priority: Major > > Major Hadoop vendors already/will step in Hadoop 3.0. So we should also make > sure Spark can run with Hadoop 3.0. This Jira tracks the work to make Spark > run on Hadoop 3.0. > The work includes: > # Add a Hadoop 3.0.0 new profile to make Spark build-able with Hadoop 3.0. > # Test to see if there's dependency issues with Hadoop 3.0. > # Investigating the feasibility to use shaded client jars (HADOOP-11804). -- This message was sent by Atlassian JIRA (v7.6.3#76005) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Commented] (SPARK-23534) Spark run on Hadoop 3.0.0
[ https://issues.apache.org/jira/browse/SPARK-23534?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16405658#comment-16405658 ] Saisai Shao commented on SPARK-23534: - I'm curious why there's a library which depends on a such new version of Hadoop 3, does it required any specific feature that doesn't exist in Hadoop 2.7/2.8? Also for Java9, I'm not sure if Java9 is widely adopted in the community compared to Java8. Community version may not evolve so fast as you want. If you really want some specific thing, I would suggest to try building from source code, and change the code to fix incompatibilities. > Spark run on Hadoop 3.0.0 > - > > Key: SPARK-23534 > URL: https://issues.apache.org/jira/browse/SPARK-23534 > Project: Spark > Issue Type: Improvement > Components: Build >Affects Versions: 2.3.0 >Reporter: Saisai Shao >Priority: Major > > Major Hadoop vendors already/will step in Hadoop 3.0. So we should also make > sure Spark can run with Hadoop 3.0. This Jira tracks the work to make Spark > run on Hadoop 3.0. > The work includes: > # Add a Hadoop 3.0.0 new profile to make Spark build-able with Hadoop 3.0. > # Test to see if there's dependency issues with Hadoop 3.0. > # Investigating the feasibility to use shaded client jars (HADOOP-11804). -- This message was sent by Atlassian JIRA (v7.6.3#76005) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Commented] (SPARK-23534) Spark run on Hadoop 3.0.0
[ https://issues.apache.org/jira/browse/SPARK-23534?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16405653#comment-16405653 ] Darek commented on SPARK-23534: --- It's not about pure Hadoop 3.0, it's about the rest of the libraries that require Hadoop 3.0 jars. For example you can not run Spark on Java 9 because of Hadoop 2.7 and Java 1.8 is very old by now. New Azure Blob libraries won't work with Hadoop 2.7 and list goes on. I tried building Spark with Hadoop 3.0 and the blocker is the fact that Spark is not using mainstream Hive, it uses an old fork of Hive. Need to convince the community that we need to switch to current release of Hive instead of the old fork. > Spark run on Hadoop 3.0.0 > - > > Key: SPARK-23534 > URL: https://issues.apache.org/jira/browse/SPARK-23534 > Project: Spark > Issue Type: Improvement > Components: Build >Affects Versions: 2.3.0 >Reporter: Saisai Shao >Priority: Major > > Major Hadoop vendors already/will step in Hadoop 3.0. So we should also make > sure Spark can run with Hadoop 3.0. This Jira tracks the work to make Spark > run on Hadoop 3.0. > The work includes: > # Add a Hadoop 3.0.0 new profile to make Spark build-able with Hadoop 3.0. > # Test to see if there's dependency issues with Hadoop 3.0. > # Investigating the feasibility to use shaded client jars (HADOOP-11804). -- This message was sent by Atlassian JIRA (v7.6.3#76005) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Commented] (SPARK-23534) Spark run on Hadoop 3.0.0
[ https://issues.apache.org/jira/browse/SPARK-23534?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16405649#comment-16405649 ] Saisai Shao commented on SPARK-23534: - I'm trying to move forward this in the community. But due to the block issue of SPARK-18673, it is hard to make any progress without that fixed. [~Bidek] The community support of Hadoop 3.0 in Spark may not be delivered soon. I would suggest you to take a look at vendor's released distribution, which will ship Spark with Hadoop 3.0 support. > Spark run on Hadoop 3.0.0 > - > > Key: SPARK-23534 > URL: https://issues.apache.org/jira/browse/SPARK-23534 > Project: Spark > Issue Type: Improvement > Components: Build >Affects Versions: 2.3.0 >Reporter: Saisai Shao >Priority: Major > > Major Hadoop vendors already/will step in Hadoop 3.0. So we should also make > sure Spark can run with Hadoop 3.0. This Jira tracks the work to make Spark > run on Hadoop 3.0. > The work includes: > # Add a Hadoop 3.0.0 new profile to make Spark build-able with Hadoop 3.0. > # Test to see if there's dependency issues with Hadoop 3.0. > # Investigating the feasibility to use shaded client jars (HADOOP-11804). -- This message was sent by Atlassian JIRA (v7.6.3#76005) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Commented] (SPARK-23534) Spark run on Hadoop 3.0.0
[ https://issues.apache.org/jira/browse/SPARK-23534?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16405615#comment-16405615 ] Nicholas Chammas commented on SPARK-23534: -- I don't know what it takes to add a Hadoop 3.0 build profile to Spark, and I also don't know anyone who can help with this. However, I don't see the urgency in getting this done. Who, really, is already running Hadoop 3.0 in production, or even getting close to that? And what vendors are already shipping Hadoop 3.0? Cloudera still ships 2.6 and EMR is on 2.7. Hadoop releases have historically been very disruptive, with backwards-incompatible changes even in minor releases. If that's still the case, I doubt many people will be running Hadoop 3.0 anytime soon. But I confess my stance here is based on my experience a couple of years ago and may no longer be relevant. > Spark run on Hadoop 3.0.0 > - > > Key: SPARK-23534 > URL: https://issues.apache.org/jira/browse/SPARK-23534 > Project: Spark > Issue Type: Improvement > Components: Build >Affects Versions: 2.3.0 >Reporter: Saisai Shao >Priority: Major > > Major Hadoop vendors already/will step in Hadoop 3.0. So we should also make > sure Spark can run with Hadoop 3.0. This Jira tracks the work to make Spark > run on Hadoop 3.0. > The work includes: > # Add a Hadoop 3.0.0 new profile to make Spark build-able with Hadoop 3.0. > # Test to see if there's dependency issues with Hadoop 3.0. > # Investigating the feasibility to use shaded client jars (HADOOP-11804). -- This message was sent by Atlassian JIRA (v7.6.3#76005) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Commented] (SPARK-23534) Spark run on Hadoop 3.0.0
[ https://issues.apache.org/jira/browse/SPARK-23534?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16405592#comment-16405592 ] Darek commented on SPARK-23534: --- There has been no progress on this ticket, do you know anyone that can help with the upgrade? > Spark run on Hadoop 3.0.0 > - > > Key: SPARK-23534 > URL: https://issues.apache.org/jira/browse/SPARK-23534 > Project: Spark > Issue Type: Improvement > Components: Build >Affects Versions: 2.3.0 >Reporter: Saisai Shao >Priority: Major > > Major Hadoop vendors already/will step in Hadoop 3.0. So we should also make > sure Spark can run with Hadoop 3.0. This Jira tracks the work to make Spark > run on Hadoop 3.0. > The work includes: > # Add a Hadoop 3.0.0 new profile to make Spark build-able with Hadoop 3.0. > # Test to see if there's dependency issues with Hadoop 3.0. > # Investigating the feasibility to use shaded client jars (HADOOP-11804). -- This message was sent by Atlassian JIRA (v7.6.3#76005) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Commented] (SPARK-23534) Spark run on Hadoop 3.0.0
[ https://issues.apache.org/jira/browse/SPARK-23534?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16405563#comment-16405563 ] Nicholas Chammas commented on SPARK-23534: -- I believe this ticket is a duplicate of SPARK-23151, though given the activity here perhaps we should close that one in favor of this ticket here. > Spark run on Hadoop 3.0.0 > - > > Key: SPARK-23534 > URL: https://issues.apache.org/jira/browse/SPARK-23534 > Project: Spark > Issue Type: Improvement > Components: Build >Affects Versions: 2.3.0 >Reporter: Saisai Shao >Priority: Major > > Major Hadoop vendors already/will step in Hadoop 3.0. So we should also make > sure Spark can run with Hadoop 3.0. This Jira tracks the work to make Spark > run on Hadoop 3.0. > The work includes: > # Add a Hadoop 3.0.0 new profile to make Spark build-able with Hadoop 3.0. > # Test to see if there's dependency issues with Hadoop 3.0. > # Investigating the feasibility to use shaded client jars (HADOOP-11804). -- This message was sent by Atlassian JIRA (v7.6.3#76005) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Commented] (SPARK-23534) Spark run on Hadoop 3.0.0
[ https://issues.apache.org/jira/browse/SPARK-23534?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16389629#comment-16389629 ] Darek commented on SPARK-23534: --- We need a resolution sooner than later. Most vendors have moved on to Hadoop 3.0 already, Java 9.0 has been out for 6 months now, Java 10 will be out in 2 weeks. Who can help to move this issue forward? Thanks > Spark run on Hadoop 3.0.0 > - > > Key: SPARK-23534 > URL: https://issues.apache.org/jira/browse/SPARK-23534 > Project: Spark > Issue Type: Improvement > Components: Build >Affects Versions: 2.3.0 >Reporter: Saisai Shao >Priority: Major > > Major Hadoop vendors already/will step in Hadoop 3.0. So we should also make > sure Spark can run with Hadoop 3.0. This Jira tracks the work to make Spark > run on Hadoop 3.0. > The work includes: > # Add a Hadoop 3.0.0 new profile to make Spark build-able with Hadoop 3.0. > # Test to see if there's dependency issues with Hadoop 3.0. > # Investigating the feasibility to use shaded client jars (HADOOP-11804). -- This message was sent by Atlassian JIRA (v7.6.3#76005) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Commented] (SPARK-23534) Spark run on Hadoop 3.0.0
[ https://issues.apache.org/jira/browse/SPARK-23534?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16388761#comment-16388761 ] Saisai Shao commented on SPARK-23534: - I don't think so. Spark uses its own fork hive version (hive-1.2.1.spark2), which doesn't include HIVE-15016 and HIVE-18550, these two patches only landed in Hive community's Hive, not Spark's Hive. Unless we shift to use Hive community's Hive, or path our own forked hive, then this will not be a blocker. > Spark run on Hadoop 3.0.0 > - > > Key: SPARK-23534 > URL: https://issues.apache.org/jira/browse/SPARK-23534 > Project: Spark > Issue Type: Improvement > Components: Build >Affects Versions: 2.3.0 >Reporter: Saisai Shao >Priority: Major > > Major Hadoop vendors already/will step in Hadoop 3.0. So we should also make > sure Spark can run with Hadoop 3.0. This Jira tracks the work to make Spark > run on Hadoop 3.0. > The work includes: > # Add a Hadoop 3.0.0 new profile to make Spark build-able with Hadoop 3.0. > # Test to see if there's dependency issues with Hadoop 3.0. > # Investigating the feasibility to use shaded client jars (HADOOP-11804). -- This message was sent by Atlassian JIRA (v7.6.3#76005) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Commented] (SPARK-23534) Spark run on Hadoop 3.0.0
[ https://issues.apache.org/jira/browse/SPARK-23534?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16388017#comment-16388017 ] Darek commented on SPARK-23534: --- SPARK-18673 should be closed since HIVE-15016 and HIVE-18550 are closed. There should be not blockers are this point. > Spark run on Hadoop 3.0.0 > - > > Key: SPARK-23534 > URL: https://issues.apache.org/jira/browse/SPARK-23534 > Project: Spark > Issue Type: Improvement > Components: Build >Affects Versions: 2.3.0 >Reporter: Saisai Shao >Priority: Major > > Major Hadoop vendors already/will step in Hadoop 3.0. So we should also make > sure Spark can run with Hadoop 3.0. This Jira tracks the work to make Spark > run on Hadoop 3.0. > The work includes: > # Add a Hadoop 3.0.0 new profile to make Spark build-able with Hadoop 3.0. > # Test to see if there's dependency issues with Hadoop 3.0. > # Investigating the feasibility to use shaded client jars (HADOOP-11804). -- This message was sent by Atlassian JIRA (v7.6.3#76005) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Commented] (SPARK-23534) Spark run on Hadoop 3.0.0
[ https://issues.apache.org/jira/browse/SPARK-23534?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16382932#comment-16382932 ] Saisai Shao commented on SPARK-23534: - One issue is Hive 1.2.1.spark2 rejects Hadoop 3 (SPARK-18673) > Spark run on Hadoop 3.0.0 > - > > Key: SPARK-23534 > URL: https://issues.apache.org/jira/browse/SPARK-23534 > Project: Spark > Issue Type: Improvement > Components: Build >Affects Versions: 2.3.0 >Reporter: Saisai Shao >Priority: Major > > Major Hadoop vendors already/will step in Hadoop 3.0. So we should also make > sure Spark can run with Hadoop 3.0. This Jira tracks the work to make Spark > run on Hadoop 3.0. > The work includes: > # Add a Hadoop 3.0.0 new profile to make Spark build-able with Hadoop 3.0. > # Test to see if there's dependency issues with Hadoop 3.0. > # Investigating the feasibility to use shaded client jars (HADOOP-11804). -- This message was sent by Atlassian JIRA (v7.6.3#76005) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
