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2018-12-02 Thread AmplabJenkins
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2018-12-02 Thread SparkQA
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2018-11-13 Thread srowen
Github user srowen commented on the issue: https://github.com/apache/spark/pull/21588 If supporting Hadoop 3 means updating to Hive 2, more or less (not dropping old Hive metastore support), then yes that seems pretty important. I didn't hear objections to updating Hive, right? and

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2018-11-13 Thread HyukjinKwon
Github user HyukjinKwon commented on the issue: https://github.com/apache/spark/pull/21588 To all, so how about we start the fix @wangyum tried before? If we are generally agreed upon the direction itself, upgrading Hive to 2.3 (or 3), I would like to encourage him to continue

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2018-11-13 Thread HyukjinKwon
Github user HyukjinKwon commented on the issue: https://github.com/apache/spark/pull/21588 The test failure itself doesn't look caused by this change. The tests will fail anyway with a different error message. If the goal is really just to check if the tests pass or not, you

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2018-11-12 Thread LiehuoChen
Github user LiehuoChen commented on the issue: https://github.com/apache/spark/pull/21588 Hi HyukjinKwon, Thanks for all the works to try to make the Jenkin test pass. I patched this PR to spark 2.4, and anything works fine but failed in

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2018-10-29 Thread HyukjinKwon
Github user HyukjinKwon commented on the issue: https://github.com/apache/spark/pull/21588 Yes, that was what I was thinking at worst case. For clarification, @wangyum made a try and all tests were passed at least - https://github.com/apache/spark/pull/20659. Given this try, I think

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2018-10-29 Thread tgravescs
Github user tgravescs commented on the issue: https://github.com/apache/spark/pull/21588 Can you clarify what you mean by drop builtin metastore support? Are you just saying users must always provide jars to use it or something more? ---

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2018-10-28 Thread HyukjinKwon
Github user HyukjinKwon commented on the issue: https://github.com/apache/spark/pull/21588 @dongjoon-hyun and @wangyum, please fix my comment if I am wrong at any point - I believe you guys took a look for this part more then I did. ---

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2018-10-28 Thread HyukjinKwon
Github user HyukjinKwon commented on the issue: https://github.com/apache/spark/pull/21588 > Does this upgrade Hive for execution or also for metastore? Spark supports virtually all Hive metastore versions out there, and a lot of deployments do run different versions of Spark against

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2018-10-27 Thread tooptoop4
Github user tooptoop4 commented on the issue: https://github.com/apache/spark/pull/21588 ship it! --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail:

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2018-10-26 Thread HyukjinKwon
Github user HyukjinKwon commented on the issue: https://github.com/apache/spark/pull/21588 > Hive 2.3 works with Hadoop 2.x (Hive 3.x works with Hadoop 3.x). This is essentially what we need for Hadoop 3 support

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2018-10-26 Thread rxin
Github user rxin commented on the issue: https://github.com/apache/spark/pull/21588 Does this upgrade Hive for execution or also for metastore? Spark supports virtually all Hive metastore versions out there, and a lot of deployments do run different versions of Spark against the same

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2018-10-25 Thread functicons
Github user functicons commented on the issue: https://github.com/apache/spark/pull/21588 Do we really want to switch to Hive 2.3? From this page https://hive.apache.org/downloads.html, Hive 2.3 works with Hadoop 2.x (Hive 3.x works with Hadoop 3.x). ---

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2018-10-25 Thread felixcheung
Github user felixcheung commented on the issue: https://github.com/apache/spark/pull/21588 Sounds like we should try this then --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional

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2018-10-25 Thread srowen
Github user srowen commented on the issue: https://github.com/apache/spark/pull/21588 So, let's say we decide to only support Hive 2.3.x+, as a precursor to this. We could already eliminate a lot of the Hive tests, right? that might be useful in its own right as they take time and

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2018-10-25 Thread HyukjinKwon
Github user HyukjinKwon commented on the issue: https://github.com/apache/spark/pull/21588 Yup, it supports Hadoop 3, and other fixes what @wangyum mentioned. --- - To unsubscribe, e-mail:

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2018-10-25 Thread felixcheung
Github user felixcheung commented on the issue: https://github.com/apache/spark/pull/21588 does Apache Hive 2.3.2 have all the fixes we need? --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For

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2018-10-16 Thread HyukjinKwon
Github user HyukjinKwon commented on the issue: https://github.com/apache/spark/pull/21588 @rxin and @gatorsmile, WDYT? I already had to argue about Hadoop 3 support here and there (for instance see [SPARK-18112|https://issues.apache.org/jira/browse/SPARK-18112] and

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2018-10-16 Thread wangyum
Github user wangyum commented on the issue: https://github.com/apache/spark/pull/21588 Thanks @HyukjinKwon Upgrade Hive to 2.3.2 can fix [SPARK-12014](https://issues.apache.org/jira/browse/SPARK-12014), [SPARK-18673](https://issues.apache.org/jira/browse/SPARK-18673),

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2018-10-15 Thread HyukjinKwon
Github user HyukjinKwon commented on the issue: https://github.com/apache/spark/pull/21588 ping @wangyum, if you're willing to make a progress about this, please provide some input here and/or in the JIRA. --- - To

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2018-10-12 Thread HyukjinKwon
Github user HyukjinKwon commented on the issue: https://github.com/apache/spark/pull/21588 Yes it solves anything. We could consider to upgrade to Hive 3 but I am unsure on this since any try (as far as I know) wasn't made yet. But for Hive 2.3.2, @wangyum made a try here

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2018-10-12 Thread srowen
Github user srowen commented on the issue: https://github.com/apache/spark/pull/21588 I know this is probably just reviving an old thread elsewhere, but, we don't know how to update our 1.2.1 Hive fork anyway, it seems? if so, and the fork is undesirable, seems like time to drop it.

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2018-10-12 Thread HyukjinKwon
Github user HyukjinKwon commented on the issue: https://github.com/apache/spark/pull/21588 Since Hadoop 3 support is also being discussed for Spark 3 (http://apache-spark-developers-list.1001551.n3.nabble.com/time-for-Apache-Spark-3-0-td23755.html). We should at least:

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2018-10-12 Thread HyukjinKwon
Github user HyukjinKwon commented on the issue: https://github.com/apache/spark/pull/21588 This is currently blocked by [SPARK-20202](https://issues.apache.org/jira/browse/SPARK-20202) per https://github.com/apache/spark/pull/21588#issuecomment-399292229. Please provide some

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2018-10-12 Thread tooptoop4
Github user tooptoop4 commented on the issue: https://github.com/apache/spark/pull/21588 @jerryshao @vanzin can this be merged to master? --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For

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2018-09-27 Thread elgalu
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2018-06-25 Thread HyukjinKwon
Github user HyukjinKwon commented on the issue: https://github.com/apache/spark/pull/21588 Yea, that's all true. I admit what you and @jerryshao did makes sense in a way. If we failed to replace the Hive fork to 2.3.x and keep the current fork, I got it that's the last resort that

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2018-06-25 Thread steveloughran
Github user steveloughran commented on the issue: https://github.com/apache/spark/pull/21588 There's a technical issue: trivial change to the case statement and a ASF process one: the only ASF project which can release hive artifacts is the hive team; it's that way due to ASF

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2018-06-23 Thread HyukjinKwon
Github user HyukjinKwon commented on the issue: https://github.com/apache/spark/pull/21588 > is it basically true that Hadoop 3 will work with only minor patches to the Hive fork in Spark? Up to my knowledge so far, yes, it basically works. At least, the regression tests we

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2018-06-23 Thread srowen
Github user srowen commented on the issue: https://github.com/apache/spark/pull/21588 Also weighing in here to ask: is it basically true that Hadoop 3 will work with only minor patches to the Hive fork in Spark? then that seems worth the hacking. Is the blocker that we can't get a

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2018-06-21 Thread HyukjinKwon
Github user HyukjinKwon commented on the issue: https://github.com/apache/spark/pull/21588 Yup, will fix the hive fork thing and be back. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For

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2018-06-21 Thread jerryshao
Github user jerryshao commented on the issue: https://github.com/apache/spark/pull/21588 @HyukjinKwon , I'm in favor of @vanzin 's comment, we should fix things first and then back to this one. --- - To

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2018-06-21 Thread HyukjinKwon
Github user HyukjinKwon commented on the issue: https://github.com/apache/spark/pull/21588 Will try to fix it then. We can just enable it back. If we want to support those Hive versions in Hadoop 3, we could simply enable them back with some fixes at that time. Adding the

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2018-06-21 Thread vanzin
Github user vanzin commented on the issue: https://github.com/apache/spark/pull/21588 > The tests were passed in this PR builder Against your private build of the Hive stuff. Again, fix that and this will become a lot easier to discuss. I'm also against

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2018-06-21 Thread HyukjinKwon
Github user HyukjinKwon commented on the issue: https://github.com/apache/spark/pull/21588 The tests were passed in this PR builder. The only hack I used is that I landed a one liner fix to an artifact to use it in this PR, which is already in Hive, and is proposed in Hive's fork

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2018-06-21 Thread vanzin
Github user vanzin commented on the issue: https://github.com/apache/spark/pull/21588 I already explained my view of why I don't think this should get in, in its current form. Passing tests in someone's private environment, for me, is not a worthy goal. You say the

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2018-06-21 Thread HyukjinKwon
Github user HyukjinKwon commented on the issue: https://github.com/apache/spark/pull/21588 I at least checked if this passed with that fix to fork manually. It fixes everything else that can be fixed in Spark. I wonder why this should be blocked to be honest yet. It can't be ran via

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2018-06-21 Thread vanzin
Github user vanzin commented on the issue: https://github.com/apache/spark/pull/21588 Let me phrase the question a different way: your title says "Make jenkins tests passed" [sic]. If you check this in, and we enable a jenkins job for hadoop 3, will it pass? I'm 100% sure

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2018-06-20 Thread HyukjinKwon
Github user HyukjinKwon commented on the issue: https://github.com/apache/spark/pull/21588 > The main thing is that this change is changing test coverage based on the Hadoop version > The Hive 2.1 suite you're disabling is also pretty important to keep working, since it

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2018-06-20 Thread vanzin
Github user vanzin commented on the issue: https://github.com/apache/spark/pull/21588 The main thing is that this change is changing test coverage based on the Hadoop version. So that means that we're effectively changing supported versions of Hive here, and we should do all the

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2018-06-20 Thread HyukjinKwon
Github user HyukjinKwon commented on the issue: https://github.com/apache/spark/pull/21588 I saw: ``` java.lang.IllegalArgumentException: Unrecognized Hadoop major version number: 3.1.0 ``` Other error messages are fixed by the current change. Yup, we

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2018-06-20 Thread HyukjinKwon
Github user HyukjinKwon commented on the issue: https://github.com/apache/spark/pull/21588 I saw: ``` Otherwise, we are not even able to start Spark shell. Currently, Hadoop 3 profile in Apache Spark doesn't work at all. It will face an error message such as:

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2018-06-20 Thread vanzin
Github user vanzin commented on the issue: https://github.com/apache/spark/pull/21588 > but the error message was pretty readable to me What is the error message you see? I didn't see any changes in the Spark code that handles that (`IsolatedClientLoader.hiveVersion`), so

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2018-06-20 Thread HyukjinKwon
Github user HyukjinKwon commented on the issue: https://github.com/apache/spark/pull/21588 Yup, it will still fail but it fixes everything else to make it working with Hadoop 3 within Spark. I think the current change is minimised as the current status as is and I meant to target

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2018-06-20 Thread vanzin
Github user vanzin commented on the issue: https://github.com/apache/spark/pull/21588 I'm talking about the `VersionsSuite` stuff. I think it needs to be a more conscious decision about what happens. If, when build with Hadoop 3, Spark will not support older versions of

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2018-06-20 Thread HyukjinKwon
Github user HyukjinKwon commented on the issue: https://github.com/apache/spark/pull/21588 @vanzin, which tests do you mean? Two types of tests are skipped. One is by external Hive's limit which we can't control and the other one (two tests) looks by a JDK bug which I think we

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2018-06-20 Thread steveloughran
Github user steveloughran commented on the issue: https://github.com/apache/spark/pull/21588 If jenkins is happy, this is good. * Be interesting to see what happens in a build with the hadoop-cloud-storage module, if it adds new dependencies * regarding commons-config, know

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2018-06-20 Thread AmplabJenkins
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[GitHub] spark issue #21588: [SPARK-24590][BUILD] Make Jenkins tests passed with hado...

2018-06-20 Thread AmplabJenkins
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[GitHub] spark issue #21588: [SPARK-24590][BUILD] Make Jenkins tests passed with hado...

2018-06-20 Thread SparkQA
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[GitHub] spark issue #21588: [SPARK-24590][BUILD] Make Jenkins tests passed with hado...

2018-06-20 Thread SparkQA
Github user SparkQA commented on the issue: https://github.com/apache/spark/pull/21588 **[Test build #92135 has started](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/92135/testReport)** for PR 21588 at commit

[GitHub] spark issue #21588: [SPARK-24590][BUILD] Make Jenkins tests passed with hado...

2018-06-20 Thread AmplabJenkins
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[GitHub] spark issue #21588: [SPARK-24590][BUILD] Make Jenkins tests passed with hado...

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[GitHub] spark issue #21588: [SPARK-24590][BUILD] Make Jenkins tests passed with hado...

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[GitHub] spark issue #21588: [SPARK-24590][BUILD] Make Jenkins tests passed with hado...

2018-06-20 Thread AmplabJenkins
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[GitHub] spark issue #21588: [SPARK-24590][BUILD] Make Jenkins tests passed with hado...

2018-06-20 Thread HyukjinKwon
Github user HyukjinKwon commented on the issue: https://github.com/apache/spark/pull/21588 +@steveloughran --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail:

[GitHub] spark issue #21588: [SPARK-24590][BUILD] Make Jenkins tests passed with hado...

2018-06-20 Thread HyukjinKwon
Github user HyukjinKwon commented on the issue: https://github.com/apache/spark/pull/21588 @srowen, @vanzin, @jerryshao and @gatorsmile, I believe this is ready for a look. --- - To unsubscribe, e-mail: