Hi, Michael, Since Daniel Siegmann asked for a bug fix backport in the previous email, I just merged https://issues.apache.org/jira/browse/SPARK-14536 into Spark 2.1 branch.
If this JIRA is not part of Spark 2.1.1 release, could you help me correct the fix version from 2.1.1. to the next release number. Thanks, Xiao 2017-03-28 8:33 GMT-07:00 Michael Armbrust <mich...@databricks.com>: > We just fixed the build yesterday. I'll kick off a new RC today. > > On Tue, Mar 28, 2017 at 8:04 AM, Asher Krim <ak...@hubspot.com> wrote: > >> Hey Michael, >> any update on this? We're itching for a 2.1.1 release (specifically >> SPARK-14804 which is currently blocking us) >> >> Thanks, >> Asher Krim >> Senior Software Engineer >> >> On Wed, Mar 22, 2017 at 7:44 PM, Michael Armbrust <mich...@databricks.com >> > wrote: >> >>> An update: I cut the tag for RC1 last night. Currently fighting with >>> the release process. Will post RC1 once I get it working. >>> >>> On Tue, Mar 21, 2017 at 2:16 PM, Nick Pentreath < >>> nick.pentre...@gmail.com> wrote: >>> >>>> As for SPARK-19759 <https://issues.apache.org/jira/browse/SPARK-19759>, >>>> I don't think that needs to be targeted for 2.1.1 so we don't need to worry >>>> about it >>>> >>>> >>>> On Tue, 21 Mar 2017 at 13:49 Holden Karau <hol...@pigscanfly.ca> wrote: >>>> >>>>> I agree with Michael, I think we've got some outstanding issues but >>>>> none of them seem like regression from 2.1 so we should be good to start >>>>> the RC process. >>>>> >>>>> On Tue, Mar 21, 2017 at 1:41 PM, Michael Armbrust < >>>>> mich...@databricks.com> wrote: >>>>> >>>>> Please speak up if I'm wrong, but none of these seem like critical >>>>> regressions from 2.1. As such I'll start the RC process later today. >>>>> >>>>> On Mon, Mar 20, 2017 at 9:52 PM, Holden Karau <hol...@pigscanfly.ca> >>>>> wrote: >>>>> >>>>> I'm not super sure it should be a blocker for 2.1.1 -- is it a >>>>> regression? Maybe we can get TDs input on it? >>>>> >>>>> On Mon, Mar 20, 2017 at 8:48 PM Nan Zhu <zhunanmcg...@gmail.com> >>>>> wrote: >>>>> >>>>> I think https://issues.apache.org/jira/browse/SPARK-19280 should be a >>>>> blocker >>>>> >>>>> Best, >>>>> >>>>> Nan >>>>> >>>>> On Mon, Mar 20, 2017 at 8:18 PM, Felix Cheung < >>>>> felixcheun...@hotmail.com> wrote: >>>>> >>>>> I've been scrubbing R and think we are tracking 2 issues >>>>> >>>>> https://issues.apache.org/jira/browse/SPARK-19237 >>>>> >>>>> https://issues.apache.org/jira/browse/SPARK-19925 >>>>> >>>>> >>>>> >>>>> >>>>> ------------------------------ >>>>> *From:* holden.ka...@gmail.com <holden.ka...@gmail.com> on behalf of >>>>> Holden Karau <hol...@pigscanfly.ca> >>>>> *Sent:* Monday, March 20, 2017 3:12:35 PM >>>>> *To:* dev@spark.apache.org >>>>> *Subject:* Outstanding Spark 2.1.1 issues >>>>> >>>>> Hi Spark Developers! >>>>> >>>>> As we start working on the Spark 2.1.1 release I've been looking at >>>>> our outstanding issues still targeted for it. I've tried to break it down >>>>> by component so that people in charge of each component can take a quick >>>>> look and see if any of these things can/should be re-targeted to 2.2 or >>>>> 2.1.2 & the overall list is pretty short (only 9 items - 5 if we only look >>>>> at explicitly tagged) :) >>>>> >>>>> If your working on something for Spark 2.1.1 and it doesn't show up in >>>>> this list please speak up now :) We have a lot of issues (including "in >>>>> progress") that are listed as impacting 2.1.0, but they aren't targeted >>>>> for >>>>> 2.1.1 - if there is something you are working in their which should be >>>>> targeted for 2.1.1 please let us know so it doesn't slip through the >>>>> cracks. >>>>> >>>>> The query string I used for looking at the 2.1.1 open issues is: >>>>> >>>>> ((affectedVersion = 2.1.1 AND cf[12310320] is Empty) OR fixVersion = >>>>> 2.1.1 OR cf[12310320] = "2.1.1") AND project = spark AND resolution = >>>>> Unresolved ORDER BY priority DESC >>>>> >>>>> None of the open issues appear to be a regression from 2.1.0, but >>>>> those seem more likely to show up during the RC process (thanks in advance >>>>> to everyone testing their workloads :)) & generally none of them seem to >>>>> be >>>>> >>>>> (Note: the cfs are for Target Version/s field) >>>>> >>>>> Critical Issues: >>>>> SQL: >>>>> SPARK-19690 <https://issues.apache.org/jira/browse/SPARK-19690> - Join >>>>> a streaming DataFrame with a batch DataFrame may not work - PR >>>>> https://github.com/apache/spark/pull/17052 (review in progress by >>>>> zsxwing, currently failing Jenkins)* >>>>> >>>>> Major Issues: >>>>> SQL: >>>>> SPARK-19035 <https://issues.apache.org/jira/browse/SPARK-19035> - rand() >>>>> function in case when cause failed - no outstanding PR (consensus on JIRA >>>>> seems to be leaning towards it being a real issue but not necessarily >>>>> everyone agrees just yet - maybe we should slip this?)* >>>>> Deploy: >>>>> SPARK-19522 <https://issues.apache.org/jira/browse/SPARK-19522> >>>>> - --executor-memory flag doesn't work in local-cluster mode - >>>>> https://github.com/apache/spark/pull/16975 (review in progress by >>>>> vanzin, but PR currently stalled waiting on response) * >>>>> Core: >>>>> SPARK-20025 <https://issues.apache.org/jira/browse/SPARK-20025> - Driver >>>>> fail over will not work, if SPARK_LOCAL* env is set. - >>>>> https://github.com/apache/spark/pull/17357 (waiting on review) * >>>>> PySpark: >>>>> SPARK-19955 <https://issues.apache.org/jira/browse/SPARK-19955> - >>>>> Update run-tests to support conda [ Part of Dropping 2.6 support -- which >>>>> we shouldn't do in a minor release -- but also fixes pip installability >>>>> tests to run in Jenkins ]- PR failing Jenkins (I need to poke this some >>>>> more, but seems like 2.7 support works but some other issues. Maybe slip >>>>> to >>>>> 2.2?) >>>>> >>>>> Minor issues: >>>>> Tests: >>>>> SPARK-19612 <https://issues.apache.org/jira/browse/SPARK-19612> - Tests >>>>> failing with timeout - No PR per-se but it seems unrelated to the 2.1.1 >>>>> release. It's not targetted for 2.1.1 but listed as affecting 2.1.1 - I'd >>>>> consider explicitly targeting this for 2.2? >>>>> PySpark: >>>>> SPARK-19570 <https://issues.apache.org/jira/browse/SPARK-19570> - Allow >>>>> to disable hive in pyspark shell - https://github.com/apache/sp >>>>> ark/pull/16906 PR exists but its difficult to add automated tests for >>>>> this (although if SPARK-19955 >>>>> <https://issues.apache.org/jira/browse/SPARK-19955> gets in would >>>>> make testing this easier) - no reviewers yet. Possible re-target?* >>>>> Structured Streaming: >>>>> SPARK-19613 <https://issues.apache.org/jira/browse/SPARK-19613> - Flaky >>>>> test: StateStoreRDDSuite.versioning and immutability - It's not targetted >>>>> for 2.1.1 but listed as affecting 2.1.1 - I'd consider explicitly >>>>> targeting >>>>> this for 2.2? >>>>> ML: >>>>> SPARK-19759 <https://issues.apache.org/jira/browse/SPARK-19759> >>>>> - ALSModel.predict on Dataframes : potential optimization by not >>>>> using blas - No PR consider re-targeting unless someone has a PR waiting >>>>> in >>>>> the wings? >>>>> >>>>> Explicitly targeted issues are marked with a *, the remaining issues >>>>> are listed as impacting 2.1.1 and don't have a specific target version >>>>> set. >>>>> >>>>> Since 2.1.1 continues the 2.1.0 branch, looking at 2.1.0 shows 1 open >>>>> blocker in SQL( SPARK-19983 >>>>> <https://issues.apache.org/jira/browse/SPARK-19983> ), >>>>> >>>>> Query string is: >>>>> >>>>> affectedVersion = 2.1.0 AND cf[12310320] is EMPTY AND project = spark >>>>> AND resolution = Unresolved AND priority = targetPriority >>>>> >>>>> Continuing on for unresolved 2.1.0 issues in Major there are 163 (76 >>>>> of them in progress), 65 Minor (26 in progress), and 9 trivial (6 in >>>>> progress). >>>>> >>>>> I'll be going through the 2.1.0 major issues with open PRs that impact >>>>> the PySpark component and seeing if any of them should be targeted for >>>>> 2.1.1, if anyone from the other components wants to take a look through we >>>>> might find some easy wins to be merged. >>>>> >>>>> Cheers, >>>>> >>>>> Holden :) >>>>> >>>>> -- >>>>> Cell : 425-233-8271 <(425)%20233-8271> >>>>> Twitter: https://twitter.com/holdenkarau >>>>> >>>>> >>>>> -- >>>>> Cell : 425-233-8271 <(425)%20233-8271> >>>>> Twitter: https://twitter.com/holdenkarau >>>>> >>>>> >>>>> >>>>> >>>>> >>>>> -- >>>>> Cell : 425-233-8271 <(425)%20233-8271> >>>>> Twitter: https://twitter.com/holdenkarau >>>>> >>>> >>> >> >
