i noticed commit today that seems to prepare for 3.0.1-rc1:
commit 05144a5c10cd37ebdbb55fde37d677def49af11f
Author: Ruifeng Zheng <ruife...@apache.org>
Date: Sat Aug 15 01:37:47 2020 +0000
Preparing Spark release v3.0.1-rc1
so i tried to build spark on that commit and i get failure in sql:
09:36:57.371 ERROR org.apache.spark.scheduler.TaskSetManager: Task 0 in
stage 77.0 failed 1 times; aborting job
[info] - SPARK-28224: Aggregate sum big decimal overflow *** FAILED ***
(306 milliseconds)
[info] org.apache.spark.SparkException: Job aborted due to stage failure:
Task 0 in stage 77.0 failed 1 times, most recent failure: Lost task 0.0 in
stage 77.0 (TID 197, 192.168.11.17, executor driver):
java.lang.ArithmeticException:
Decimal(expanded,111111111111111111110.246000000000000000,39,18}) cannot be
represented as Decimal(38, 18).
[info] at org.apache.spark.sql.types.Decimal.toPrecision(Decimal.scala:369)
[info] at
org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage2.agg_doAggregate_sum_0$(Unknown
Source)
[info] at
org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage2.agg_doConsume_0$(Unknown
Source)
[info] at
org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage2.agg_doAggregateWithoutKey_0$(Unknown
Source)
[info] at
org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage2.processNext(Unknown
Source)
[info] at
org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
[info] at
org.apache.spark.sql.execution.WholeStageCodegenExec$$anon$1.hasNext(WholeStageCodegenExec.scala:729)
[info] at scala.collection.Iterator$$anon$10.hasNext(Iterator.scala:458)
[info] at scala.collection.Iterator$$anon$10.hasNext(Iterator.scala:458)
[info] at org.apache.spark.util.Utils$.getIteratorSize(Utils.scala:1804)
[info] at org.apache.spark.rdd.RDD.$anonfun$count$1(RDD.scala:1227)
[info] at org.apache.spark.rdd.RDD.$anonfun$count$1$adapted(RDD.scala:1227)
[info] at
org.apache.spark.SparkContext.$anonfun$runJob$5(SparkContext.scala:2138)
[info] at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90)
[info] at org.apache.spark.scheduler.Task.run(Task.scala:127)
[info] at
org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$3(Executor.scala:446)
[info] at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1377)
[info] at
org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:449)
[info] at
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
[info] at
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
[info] at java.lang.Thread.run(Thread.java:748)
[error] Failed tests:
[error] org.apache.spark.sql.DataFrameSuite
On Thu, Aug 13, 2020 at 8:19 PM Jason Moore
<jason.mo...@quantium.com.au.invalid> wrote:
> Thank you so much! Any update on getting the RC1 up for vote?
>
> Jason.
>
>
> ------------------------------
> *From:* 郑瑞峰 <ruife...@foxmail.com>
> *Sent:* Wednesday, 5 August 2020 12:54 PM
> *To:* Jason Moore <jason.mo...@quantium.com.au.INVALID>; Spark dev list <
> dev@spark.apache.org>
> *Subject:* 回复： [DISCUSS] Apache Spark 3.0.1 Release
>
> Hi all,
> I am going to prepare the realease of 3.0.1 RC1, with the help of Wenchen.
>
>
> ------------------ 原始邮件 ------------------
> *发件人:* "Jason Moore" <jason.mo...@quantium.com.au.INVALID>;
> *发送时间:* 2020年7月30日(星期四) 上午10:35
> *收件人:* "dev"<dev@spark.apache.org>;
> *主题:* Re: [DISCUSS] Apache Spark 3.0.1 Release
>
> Hi all,
>
>
>
> Discussion around 3.0.1 seems to have trickled away. What was blocking
> the release process kicking off? I can see some unresolved bugs raised
> against 3.0.0, but conversely there were quite a few critical correctness
> fixes waiting to be released.
>
>
>
> Cheers,
>
> Jason.
>
>
>
> *From: *Takeshi Yamamuro <linguin....@gmail.com>
> *Date: *Wednesday, 15 July 2020 at 9:00 am
> *To: *Shivaram Venkataraman <shiva...@eecs.berkeley.edu>
> *Cc: *"dev@spark.apache.org" <dev@spark.apache.org>
> *Subject: *Re: [DISCUSS] Apache Spark 3.0.1 Release
>
>
>
> > Just wanted to check if there are any blockers that we are still waiting
> for to start the new release process.
>
> I don't see any on-going blocker in my area.
>
> Thanks for the notification.
>
>
>
> Bests,
>
> Tkaeshi
>
>
>
> On Wed, Jul 15, 2020 at 4:03 AM Dongjoon Hyun <dongjoon.h...@gmail.com>
> wrote:
>
> Hi, Yi.
>
>
>
> Could you explain why you think that is a blocker? For the given example
> from the JIRA description,
>
>
>
> spark.udf.register("key", udf((m: Map[String, String]) => m.keys.head.toInt))
>
> Seq(Map("1" -> "one", "2" -> "two")).toDF("a").createOrReplaceTempView("t")
>
> checkAnswer(sql("SELECT key(a) AS k FROM t GROUP BY key(a)"), Row(1) :: Nil)
>
>
>
> Apache Spark 3.0.0 seems to work like the following.
>
>
>
> scala> spark.version
>
> res0: String = 3.0.0
>
>
>
> scala> spark.udf.register("key", udf((m: Map[String, String]) =>
> m.keys.head.toInt))
>
> res1: org.apache.spark.sql.expressions.UserDefinedFunction =
> SparkUserDefinedFunction($Lambda$1958/948653928@5d6bed7b,IntegerType,List(Some(class[value[0]:
> map<string,string>])),None,false,true)
>
>
>
> scala> Seq(Map("1" -> "one", "2" ->
> "two")).toDF("a").createOrReplaceTempView("t")
>
>
>
> scala> sql("SELECT key(a) AS k FROM t GROUP BY key(a)").collect
>
> res3: Array[org.apache.spark.sql.Row] = Array([1])
>
>
>
> Could you provide a reproducible example?
>
>
>
> Bests,
>
> Dongjoon.
>
>
>
>
>
> On Tue, Jul 14, 2020 at 10:04 AM Yi Wu <yi...@databricks.com> wrote:
>
> This probably be a blocker:
> https://issues.apache.org/jira/browse/SPARK-32307
>
>
>
> On Tue, Jul 14, 2020 at 11:13 PM Sean Owen <sro...@gmail.com> wrote:
>
> https://issues.apache.org/jira/browse/SPARK-32234 ?
>
> On Tue, Jul 14, 2020 at 9:57 AM Shivaram Venkataraman
> <shiva...@eecs.berkeley.edu> wrote:
> >
> > Hi all
> >
> > Just wanted to check if there are any blockers that we are still waiting
> for to start the new release process.
> >
> > Thanks
> > Shivaram
> >
>
>
>
>
> --
>
> ---
> Takeshi Yamamuro
>
