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fa zheng closed FLINK-19101.
Resolution: Cannot Reproduce
> The SelectivityEstimator throw an NullPointerException when
>
fa zheng created FLINK-19548:
Summary: Report correct progress to yarn resource manager
Key: FLINK-19548
URL: https://issues.apache.org/jira/browse/FLINK-19548
Project: Flink
Issue Type:
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https://issues.apache.org/jira/browse/FLINK-10644?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17203607#comment-17203607
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fa zheng commented on FLINK-10644:
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Any progress on this issue? It will be helpful in batch work.
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fa zheng closed FLINK-19194.
Fix Version/s: 1.11.2
Resolution: Fixed
> The UDF split and split_index get wrong result
>
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fa zheng commented on FLINK-19194:
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Hi [~jark], please check it again. !screenshot-1.png!
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fa zheng updated FLINK-19194:
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Attachment: screenshot-1.png
> The UDF split and split_index get wrong result
>
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fa zheng updated FLINK-19194:
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Description:
If we run sql
{code:sql}
select split_index('ab-123"xyz\cd','-',1) ;
{code}
or
fa zheng created FLINK-19194:
Summary: The UDF split and split_index get wrong result
Key: FLINK-19194
URL: https://issues.apache.org/jira/browse/FLINK-19194
Project: Flink
Issue Type: Bug
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fa zheng updated FLINK-19101:
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Description:
It will throw java.lang.NullPointerException because SelectivityEstimator
convert
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fa zheng updated FLINK-19101:
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Comment: was deleted
(was: Hi [~danny0405], you can create t1 and t2 freely as long as the fields
are
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fa zheng edited comment on FLINK-19101 at 8/31/20, 11:08 AM:
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Hi
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fa zheng commented on FLINK-19101:
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Hi [~danny0405], you can create t1 and t2 freely as long as the
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https://issues.apache.org/jira/browse/FLINK-19103?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17187608#comment-17187608
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fa zheng commented on FLINK-19103:
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It’s not necessary to get statistics of partitions in each loop, we
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fa zheng updated FLINK-19103:
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Description:
The PushPartitionIntoTableSourceScanRule will obtain new statistic after
pruning,
fa zheng created FLINK-19103:
Summary: The PushPartitionIntoTableSourceScanRule will lead a
performance problem when there are still many partitions after pruning
Key: FLINK-19103
URL:
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fa zheng updated FLINK-19101:
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Description:
For a SQL :
{code:sql}
select t1.a, t2.b from t1 join t2 on t1.b=t2.b and t1.b<'2'
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fa zheng updated FLINK-19101:
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Description:
For a SQL :
{code:sql}
select t1.a, t2.b from t1 join t2 on t1.b=t2.b and t1.b<'2'
fa zheng created FLINK-19101:
Summary: The SelectivityEstimator throw an NullPointerException
when convertValueInterval with string type
Key: FLINK-19101
URL: https://issues.apache.org/jira/browse/FLINK-19101
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https://issues.apache.org/jira/browse/FLINK-16579?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17067514#comment-17067514
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fa zheng commented on FLINK-16579:
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cool~, thanks [~godfreyhe], I just need it.
> Upgrade Calcite
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fa zheng edited comment on FLINK-16579 at 3/26/20, 7:42 AM:
Hi ,[~jark]
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fa zheng edited comment on FLINK-16579 at 3/26/20, 7:41 AM:
Hi ,[~jark]
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fa zheng edited comment on FLINK-16579 at 3/26/20, 7:39 AM:
Hi ,[~jark]
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fa zheng commented on FLINK-16579:
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Hi ,[~jark]
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fa zheng updated FLINK-16595:
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Description:
When the cluster has multiple nameservices, the client only can obtain the
tokens of
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fa zheng updated FLINK-16595:
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Description:
When the cluster has multiple nameservices, the client only can obtain the
token of
fa zheng created FLINK-16595:
Summary: Support extra hadoop filesystem URLs for which to request
delegation tokens
Key: FLINK-16595
URL: https://issues.apache.org/jira/browse/FLINK-16595
Project: Flink
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https://issues.apache.org/jira/browse/FLINK-15000?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17054089#comment-17054089
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fa zheng edited comment on FLINK-15000 at 3/14/20, 7:16 AM:
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fa zheng edited comment on FLINK-15000 at 3/14/20, 7:15 AM:
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fa zheng commented on FLINK-15000:
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[~vthinkxie] sorry for replying so late. I have already crete a
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https://issues.apache.org/jira/browse/FLINK-15211?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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fa zheng closed FLINK-15211.
Resolution: Duplicate
> Web UI request url for watermark is too long in large parallelism
>
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fa zheng reopened FLINK-15211:
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> Web UI request url for watermark is too long in large parallelism
>
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fa zheng closed FLINK-15211.
Resolution: Fixed
> Web UI request url for watermark is too long in large parallelism
>
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fa zheng commented on FLINK-15211:
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cool
> Web UI request url for watermark is too long in large
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fa zheng updated FLINK-15211:
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Description:
In large parallelism scenario, the request url to get watermark metric seems to
too long
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fa zheng updated FLINK-15211:
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Description:
In large parallelism scenario, the request url to get watermark metric seems to
too long
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fa zheng updated FLINK-15211:
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Description:
In large parallelism scenario, the request url to get watermark metric seems to
too long
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fa zheng updated FLINK-15000:
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Component/s: (was: Runtime / Metrics)
Runtime / Web Frontend
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fa zheng updated FLINK-15000:
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Summary: WebUI Metrics is very slow in large parallelism (was: Flink WebUI
Metrics is very slow in
fa zheng created FLINK-15211:
Summary: Web UI request url for watermark is too long in large
parallelism
Key: FLINK-15211
URL: https://issues.apache.org/jira/browse/FLINK-15211
Project: Flink
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fa zheng updated FLINK-15000:
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Comment: was deleted
(was: Another problem in large parallelism. The request url to get watermark
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fa zheng edited comment on FLINK-15000 at 12/11/19 1:16 PM:
Another problem
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fa zheng edited comment on FLINK-15000 at 12/11/19 11:11 AM:
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Another
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fa zheng edited comment on FLINK-15000 at 12/11/19 10:27 AM:
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It mainly
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fa zheng edited comment on FLINK-15000 at 12/11/19 10:27 AM:
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It mainly
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fa zheng edited comment on FLINK-15000 at 12/11/19 10:24 AM:
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It mainly
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fa zheng commented on FLINK-15000:
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Another problem in large parallelism. The request url to get
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fa zheng updated FLINK-15000:
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Description:
metrics in web ui are very slow when parallelism is over 1000. It's hard to add
metric
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fa zheng updated FLINK-15000:
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Summary: Metrics is very slow in large parallelism (was: Metrics is very
slow when parallelism is over
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fa zheng updated FLINK-15000:
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Description:
metrics in web ui are very slow when parallelism is huge. It's hard to add
metric and
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fa zheng updated FLINK-15000:
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Summary: Flink WebUI Metrics is very slow in large parallelism (was:
Metrics is very slow in large
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fa zheng edited comment on FLINK-15000 at 12/10/19 8:05 AM:
It mainly caused
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fa zheng edited comment on FLINK-15000 at 12/10/19 8:03 AM:
It mainly caused
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fa zheng edited comment on FLINK-15000 at 12/10/19 8:01 AM:
It mainly caused
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fa zheng edited comment on FLINK-15000 at 12/10/19 7:58 AM:
it mainly caused
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fa zheng commented on FLINK-15000:
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it mainly caused by loading all metric once, in this case, there
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fa zheng updated FLINK-15000:
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Description:
metrics in web ui are very slow when parallelism is over 1000. It's hard to add
metric
fa zheng created FLINK-15000:
Summary: Metrics is very slow when parallelism is over 1000
Key: FLINK-15000
URL: https://issues.apache.org/jira/browse/FLINK-15000
Project: Flink
Issue Type:
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https://issues.apache.org/jira/browse/FLINK-14560?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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fa zheng updated FLINK-14560:
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Description:
If you accidentally set taskmanager.memory.size: 0 in flink-conf.yaml, flink
should take
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fa zheng commented on FLINK-14560:
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[~trohrmann], sure, i want to have a try.
> The value of
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fa zheng commented on FLINK-14560:
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[~jark], i think it's a little unreasonable. zero is same as your
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fa zheng commented on FLINK-14560:
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who can assign this issue to me?
> The value of
fa zheng created FLINK-14560:
Summary: The value of taskmanager.memory.size in flink-conf.yaml
is set to zero will cause taskmanager not to work
Key: FLINK-14560
URL:
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https://issues.apache.org/jira/browse/FLINK-13933?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16934188#comment-16934188
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fa zheng commented on FLINK-13933:
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It is not a problem. If you want to use hive udtf in flink sql, you
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fa zheng closed FLINK-13933.
Resolution: Not A Problem
> Hive Generic UDTF can not be used in table API both stream and batch mode
>
fa zheng created FLINK-13933:
Summary: Hive Generic UDTF can not be used in table API both
stream and batch mode
Key: FLINK-13933
URL: https://issues.apache.org/jira/browse/FLINK-13933
Project: Flink
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https://issues.apache.org/jira/browse/FLINK-13869?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16916488#comment-16916488
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fa zheng edited comment on FLINK-13869 at 8/27/19 8:20 AM:
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the demo is as
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fa zheng edited comment on FLINK-13869 at 8/27/19 8:17 AM:
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the demo is as
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fa zheng commented on FLINK-13869:
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the demo is as follow, it works fine in batch mode.
{code:java}
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