[jira] [Work logged] (HIVE-25343) Create or replace view should clean the old table properties
[
https://issues.apache.org/jira/browse/HIVE-25343?focusedWorklogId=657647&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-657647
]
ASF GitHub Bot logged work on HIVE-25343:
-
Author: ASF GitHub Bot
Created on: 30/Sep/21 00:09
Start Date: 30/Sep/21 00:09
Worklog Time Spent: 10m
Work Description: github-actions[bot] closed pull request #2492:
URL: https://github.com/apache/hive/pull/2492
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Issue Time Tracking
---
Worklog Id: (was: 657647)
Time Spent: 50m (was: 40m)
> Create or replace view should clean the old table properties
>
>
> Key: HIVE-25343
> URL: https://issues.apache.org/jira/browse/HIVE-25343
> Project: Hive
> Issue Type: Bug
> Components: SQL
>Affects Versions: 3.1.3, 3.2.0
>Reporter: Lantao Jin
>Assignee: Lantao Jin
>Priority: Major
> Labels: pull-request-available
> Attachments: Screen Shot 2021-07-19 at 15.36.29.png
>
> Time Spent: 50m
> Remaining Estimate: 0h
>
> In many cases, users use Spark and Hive together. When a user creates a view
> via Spark, the table output columns will store in table properties, such as
> !Screen Shot 2021-07-19 at 15.36.29.png|width=80%!
> After that, if the user runs the command "create or replace view" via Hive,
> to change the schema. The old table properties added by Spark are not cleaned
> by Hive. Then users read the table via Spark. The schema didn't change. It
> very confused users.
> How to reproduce:
> {code}
> spark-sql>create table lajin_table (a int, b int) stored as parquet;
> spark-sql>create view lajin_view as select * from lajin_table;
> spark-sql> desc lajin_view;
> a int NULLNULL
> b int NULLNULL
> hive>desc lajin_view;
> a int
> b int
> hive>create or replace view lajin_view as select a, b, 3 as c from
> lajin_table;
> hive>desc lajin_view;
> a int
> b int
> c int
> spark-sql> desc lajin_view; -- not changed
> a int NULLNULL
> b int NULLNULL
> {code}
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[jira] [Work logged] (HIVE-25343) Create or replace view should clean the old table properties
[
https://issues.apache.org/jira/browse/HIVE-25343?focusedWorklogId=656953&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-656953
]
ASF GitHub Bot logged work on HIVE-25343:
-
Author: ASF GitHub Bot
Created on: 29/Sep/21 00:10
Start Date: 29/Sep/21 00:10
Worklog Time Spent: 10m
Work Description: github-actions[bot] closed pull request #2492:
URL: https://github.com/apache/hive/pull/2492
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Issue Time Tracking
---
Worklog Id: (was: 656953)
Time Spent: 40m (was: 0.5h)
> Create or replace view should clean the old table properties
>
>
> Key: HIVE-25343
> URL: https://issues.apache.org/jira/browse/HIVE-25343
> Project: Hive
> Issue Type: Bug
> Components: SQL
>Affects Versions: 3.1.3, 3.2.0
>Reporter: Lantao Jin
>Assignee: Lantao Jin
>Priority: Major
> Labels: pull-request-available
> Attachments: Screen Shot 2021-07-19 at 15.36.29.png
>
> Time Spent: 40m
> Remaining Estimate: 0h
>
> In many cases, users use Spark and Hive together. When a user creates a view
> via Spark, the table output columns will store in table properties, such as
> !Screen Shot 2021-07-19 at 15.36.29.png|width=80%!
> After that, if the user runs the command "create or replace view" via Hive,
> to change the schema. The old table properties added by Spark are not cleaned
> by Hive. Then users read the table via Spark. The schema didn't change. It
> very confused users.
> How to reproduce:
> {code}
> spark-sql>create table lajin_table (a int, b int) stored as parquet;
> spark-sql>create view lajin_view as select * from lajin_table;
> spark-sql> desc lajin_view;
> a int NULLNULL
> b int NULLNULL
> hive>desc lajin_view;
> a int
> b int
> hive>create or replace view lajin_view as select a, b, 3 as c from
> lajin_table;
> hive>desc lajin_view;
> a int
> b int
> c int
> spark-sql> desc lajin_view; -- not changed
> a int NULLNULL
> b int NULLNULL
> {code}
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[jira] [Work logged] (HIVE-25343) Create or replace view should clean the old table properties
[
https://issues.apache.org/jira/browse/HIVE-25343?focusedWorklogId=652509&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-652509
]
ASF GitHub Bot logged work on HIVE-25343:
-
Author: ASF GitHub Bot
Created on: 18/Sep/21 00:09
Start Date: 18/Sep/21 00:09
Worklog Time Spent: 10m
Work Description: github-actions[bot] commented on pull request #2492:
URL: https://github.com/apache/hive/pull/2492#issuecomment-922142334
This pull request has been automatically marked as stale because it has not
had recent activity. It will be closed if no further activity occurs.
Feel free to reach out on the d...@hive.apache.org list if the patch is in
need of reviews.
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Issue Time Tracking
---
Worklog Id: (was: 652509)
Time Spent: 0.5h (was: 20m)
> Create or replace view should clean the old table properties
>
>
> Key: HIVE-25343
> URL: https://issues.apache.org/jira/browse/HIVE-25343
> Project: Hive
> Issue Type: Bug
> Components: SQL
>Affects Versions: 3.1.3, 3.2.0
>Reporter: Lantao Jin
>Assignee: Lantao Jin
>Priority: Major
> Labels: pull-request-available
> Attachments: Screen Shot 2021-07-19 at 15.36.29.png
>
> Time Spent: 0.5h
> Remaining Estimate: 0h
>
> In many cases, users use Spark and Hive together. When a user creates a view
> via Spark, the table output columns will store in table properties, such as
> !Screen Shot 2021-07-19 at 15.36.29.png|width=80%!
> After that, if the user runs the command "create or replace view" via Hive,
> to change the schema. The old table properties added by Spark are not cleaned
> by Hive. Then users read the table via Spark. The schema didn't change. It
> very confused users.
> How to reproduce:
> {code}
> spark-sql>create table lajin_table (a int, b int) stored as parquet;
> spark-sql>create view lajin_view as select * from lajin_table;
> spark-sql> desc lajin_view;
> a int NULLNULL
> b int NULLNULL
> hive>desc lajin_view;
> a int
> b int
> hive>create or replace view lajin_view as select a, b, 3 as c from
> lajin_table;
> hive>desc lajin_view;
> a int
> b int
> c int
> spark-sql> desc lajin_view; -- not changed
> a int NULLNULL
> b int NULLNULL
> {code}
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[jira] [Work logged] (HIVE-25343) Create or replace view should clean the old table properties
[
https://issues.apache.org/jira/browse/HIVE-25343?focusedWorklogId=624952&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-624952
]
ASF GitHub Bot logged work on HIVE-25343:
-
Author: ASF GitHub Bot
Created on: 20/Jul/21 09:45
Start Date: 20/Jul/21 09:45
Worklog Time Spent: 10m
Work Description: LantaoJin opened a new pull request #2492:
URL: https://github.com/apache/hive/pull/2492
…ties
### What changes were proposed in this pull request?
### Why are the changes needed?
### Does this PR introduce _any_ user-facing change?
### How was this patch tested?
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Issue Time Tracking
---
Worklog Id: (was: 624952)
Time Spent: 20m (was: 10m)
> Create or replace view should clean the old table properties
>
>
> Key: HIVE-25343
> URL: https://issues.apache.org/jira/browse/HIVE-25343
> Project: Hive
> Issue Type: Bug
> Components: SQL
>Affects Versions: 3.1.3, 3.2.0
>Reporter: Lantao Jin
>Assignee: Lantao Jin
>Priority: Major
> Labels: pull-request-available
> Attachments: Screen Shot 2021-07-19 at 15.36.29.png
>
> Time Spent: 20m
> Remaining Estimate: 0h
>
> In many cases, users use Spark and Hive together. When a user creates a view
> via Spark, the table output columns will store in table properties, such as
> !Screen Shot 2021-07-19 at 15.36.29.png|width=80%!
> After that, if the user runs the command "create or replace view" via Hive,
> to change the schema. The old table properties added by Spark are not cleaned
> by Hive. Then users read the table via Spark. The schema didn't change. It
> very confused users.
> How to reproduce:
> {code}
> spark-sql>create table lajin_table (a int, b int) stored as parquet;
> spark-sql>create view lajin_view as select * from lajin_table;
> spark-sql> desc lajin_view;
> a int NULLNULL
> b int NULLNULL
> hive>desc lajin_view;
> a int
> b int
> hive>create or replace view lajin_view as select a, b, 3 as c from
> lajin_table;
> hive>desc lajin_view;
> a int
> b int
> c int
> spark-sql> desc lajin_view; -- not changed
> a int NULLNULL
> b int NULLNULL
> {code}
--
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[jira] [Work logged] (HIVE-25343) Create or replace view should clean the old table properties
[ https://issues.apache.org/jira/browse/HIVE-25343?focusedWorklogId=624239&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-624239 ] ASF GitHub Bot logged work on HIVE-25343: - Author: ASF GitHub Bot Created on: 19/Jul/21 09:11 Start Date: 19/Jul/21 09:11 Worklog Time Spent: 10m Work Description: LantaoJin opened a new pull request #2492: URL: https://github.com/apache/hive/pull/2492 …ties ### What changes were proposed in this pull request? ### Why are the changes needed? ### Does this PR introduce _any_ user-facing change? ### How was this patch tested? -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: gitbox-unsubscr...@hive.apache.org For queries about this service, please contact Infrastructure at: us...@infra.apache.org Issue Time Tracking --- Worklog Id: (was: 624239) Remaining Estimate: 0h Time Spent: 10m > Create or replace view should clean the old table properties > > > Key: HIVE-25343 > URL: https://issues.apache.org/jira/browse/HIVE-25343 > Project: Hive > Issue Type: Bug > Components: SQL >Affects Versions: 3.1.3, 3.2.0 >Reporter: Lantao Jin >Assignee: Lantao Jin >Priority: Major > Attachments: Screen Shot 2021-07-19 at 15.36.29.png > > Time Spent: 10m > Remaining Estimate: 0h > > In many cases, users use Spark and Hive together. When a user creates a view > via Spark, the table output columns will store in table properties, such as > !Screen Shot 2021-07-19 at 15.36.29.png|width=80! > After that, if the user runs the command "create or replace view" via Hive, > to change the schema. The old table properties added by Spark are not cleaned > by Hive. Then users read the table via Spark. The schema didn't change. It > very confused users. -- This message was sent by Atlassian Jira (v8.3.4#803005)
