Hi everyone:
I have fixed a hive bug that Jira URL is:
https://issues.apache.org/jira/browse/HIVE-25912
My PR is: https://github.com/apache/hive/pull/2987
Where can I get a reviewer?
Thanks.
Well I have seen this type of error before.
I tend to create the table in hive first and alter it in spark if needed.
This is spark 3.1.1 with Hive (version 3.1.1)
0: jdbc:hive2://rhes75:10099/default> create table my_table2 (col1 int,
col2 int)
0: jdbc:hive2://rhes75:10099/default> describe
Hi there.
I also posted this problem in the spark list. I am no sure this is a
spark or a hive metastore problem. Or if there is some metastore tunning
configuration as workaround.
Spark can't see hive schema updates partly because it stores the schema
in a weird way in hive metastore.
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Von: Sungwoo Park
Gesendet: Dienstag, 28. April 2020 09:17:38
An: user@hive.apache.org
Betreff: R
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On Tue, Apr 28, 2020, 1:23 AM Deepak Krishna wrote:
> Hi team,
>
> We came across a bug related to count function. We are using hive
> 3.0.0.3.1 with Tez 0.9.0.3.1. PFA the queries to replicate the issue.
>
> Please register this as a bug and let us know if we can support in anyway
I have tested the script with Hive 2.3.6, Hive 3.1.2, and Hive
4.0.0-SNAPSHOT (all with minor modifications), and have not found any
problem. So, I guess all the master branches are fine.
If Hive 3.0.0.3.1 is the release included in HDP 3.0.0 or HDP 3.0.1, I
remember that this Hive-LLAP/Tez
Hi Deepak,
If I were you, I would test your repro case on the master branch.
If it is fixed, I think you should try to find the fix which solves the problem
and cherry-pick the fix to branch-3 and branch-3.1 so the fix is there in the
next release.
If the problem is still present on the master
Hi team,
We came across a bug related to count function. We are using hive 3.0.0.3.1
with Tez 0.9.0.3.1. PFA the queries to replicate the issue.
Please register this as a bug and let us know if we can support in anyway to
fix the issue. It would also be helpful to know if there are any other
Shushant,
Creating a patched jar that would include the lock functionality you
want is unlikely to work. Wouldn't the following workflow work for you:
1. Writer locks the table explicitly via LOCK TABLE
2. Writer inserts
3. Writer unlocks the table explicitly via UNLOCK TABLE
If you're
Hi Alan
1.When writer takes exclusive lock , hive won't allow to write anyone(even
the session which holds lock) to write in table.
Do I need to pass lock handle to read query or I am missing here something.
2.Or you mean to insert using hadoop filesystem not using hive ?
On Tue, Sep 23, 2014 at
Shushant -
What I believe what Stephen is sarcastically trying to say is that some
organizational education may be in order here. Hive itself is not even at
version 1.0, those of us who use Hive in production know this, and have to
accept that there will be bugs like the one you are trying to
Hi Stephen
We have cloudera setup deployed in our cluster, which we cannot update due
to orgs policy.
Till the time its not updated to version 0.14, How can I achieve the
locking feature please suggest.
On Sun, Sep 21, 2014 at 10:40 AM, Stephen Sprague sprag...@gmail.com
wrote:
great policy.
Hive version 0.9 and later has a bug
While inserting in a hive table Hive takes an exclusive lock. But if table
is partitioned , and insert is in dynamic partition , it will take shared
lock on table but if all partitions are static then hive takes exclusive
lock on partitions in which data is
Up until Hive 0.13 locks in Hive were really advisory only, since as you
note any user can remove any other user's lock. In Hive 0.13 a new type
of locking was introduced, see
https://cwiki.apache.org/confluence/display/Hive/Hive+Transactions#HiveTransactions-LockManager
This new locking is
Hi Alan
I have 0.10 version of hive deployed in my org's cluster, I cannot update
that because of org's policy.
How can I achieve exclusive lock functionality while inserting in dynamic
partition on hive 0.10 ?
Does calling hive scripts via some sort of java api with patched jar
included will
great policy. install open source software that's not even version 1.0 into
production and then not allow the ability to improve it (but of course reap
all the rewards of its benefits.) so instead of actually fixing the
problem the right way introduce a super-hack work-around cuz, you know,
Hi,
we have an issue with windowing function query never completed when
running against the large dataset 25,000 rows. That is the reducer
(only one) never exit and it appears stuck in an infinite loop.
I looked at the Reducer counter and it never changes over the 6 hours when it
gets stuck
Hello all, I think I have outlined a bug in the hive split function:
Summary: When calling split on a string of data, it will only return all
array items if the the last array item has a value. For example, if I have
a string of text delimited by tab with 7 columns, and the first four are
filled
I opened a JIRA on this: https://issues.apache.org/jira/browse/HIVE-5506
On Wed, Oct 9, 2013 at 9:44 AM, John Omernik j...@omernik.com wrote:
Hello all, I think I have outlined a bug in the hive split function:
Summary: When calling split on a string of data, it will only return all
array
Hi Yin:
Thanks for the patch, I patch it and pass this testcase, I will use it with our
hive11 production test.
在 2013年8月1日星期四，上午5:09，Yin Huai 写道：
I just uploaded a patch to https://issues.apache.org/jira/browse/HIVE-4968.
You can try it and see if the problem has been resolved for your
Seems it is another problem.
Can you try
SELECT *
FROM (SELECT VAL001 x1,
VAL002 x2,
VAL003 x3,
VAL004 x4,
VAL005 y
FROM (SELECT /*+ mapjoin(v2) */ (VAL001- mu1) * 1/(sd1) VAL001,
(VAL002- mu2) * 1/(sd2) VAL002,
I just uploaded a patch to https://issues.apache.org/jira/browse/HIVE-4968.
You can try it and see if the problem has been resolved for your query.
On Wed, Jul 31, 2013 at 11:21 AM, Yin Huai huaiyin@gmail.com wrote:
Seems it is another problem.
Can you try
SELECT *
FROM (SELECT VAL001
Hi:
I attach the output of EXPLAIN, and the hive I use is compiled from trunk and
my hadoop version is 1.0.1. I use default hive configuration.
--
wzc1...@gmail.com
已使用 Sparrow (http://www.sparrowmailapp.com/?sig)
已使用 Sparrow (http://www.sparrowmailapp.com/?sig)
在
hi all:
We are currently testing hive 0.11 against our production environment and run
into some problems. Some of them are related to the param
hive.auto.convert.join.
We disable this param and some failed testcases passed. By searching in hive
jira issues I find that the patch in
What I mean by not pass the testcase in HIVE-4650 is that I compile the trunk
code and run the query in HIVE-4650:
SELECT *
FROM
(SELECT VAL001 x1,
VAL002 x2,
VAL003 x3,
VAL004 x4,
VAL005 y
FROM
(SELECT /*+ mapjoin(v2) */ (VAL001- mu1) * 1/(sd1)
Hi,
Can you also post the output of EXPLAIN? The execution plan may be helpful
to locate the problem.
Thanks,
Yin
On Sun, Jul 28, 2013 at 8:06 PM, wzc1...@gmail.com wrote:
What I mean by not pass the testcase in HIVE-4650 is that I compile the
trunk code and run the query in HIVE-4650:
fyi
--- 11年12月14日，周三, Bing Li lib...@yahoo.com.cn 写道：
发件人: Bing Li lib...@yahoo.com.cn
主题: a potential bug in HIVE/HADOOP ? -- MetaStore, createDatabase()
收件人: hive dev list d...@hive.apache.org
日期: 2011年12月14日,周三,下午8:32
Hi, developers
When I ran Hive UT with the candidate build of Hive-0.8.0
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