[
https://issues.apache.org/jira/browse/SPARK-32838?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
CHC updated SPARK-32838:
------------------------
Description:
When:
{code:java}
CREATE TABLE tmp.spark3_snap (
id string
)
PARTITIONED BY (dt string)
STORED AS ORC
;
insert overwrite tmp.spark3_snap partition(dt='2020-09-09')
select 10;
insert overwrite tmp.spark3_snap partition(dt='2020-09-10')
select 1;
insert overwrite table tmp.spark3_snap partition(dt='2020-09-10')
select id from tmp.spark3_snap where dt='2020-09-09';
{code}
and it will be get a error: "Cannot overwrite a path that is also being read
from"
related: https://issues.apache.org/jira/browse/SPARK-24194
This work on spark 2.4.3 success
was:
When:
{code:java}
CREATE TABLE tmp.spark3_snap (
id string
)
PARTITIONED BY (dt string)
STORED AS ORC
;
insert overwrite tmp.spark3_snap partition(dt='2020-09-09')
select 10;
insert overwrite tmp.spark3_snap partition(dt='2020-09-10')
select 1;
insert overwrite table tmp.spark3_snap partition(dt='2020-09-10')
select id from tmp.spark3_snap where dt='2020-09-09';
{code}
and it will be get a error: "Cannot overwrite a path that is also being read
from"
related: https://issues.apache.org/jira/browse/SPARK-24194
> Connot overwite different partition with same table
> ---------------------------------------------------
>
> Key: SPARK-32838
> URL: https://issues.apache.org/jira/browse/SPARK-32838
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 3.0.0
> Environment: hadoop 2.7 + spark 3.0.0
> Reporter: CHC
> Priority: Critical
>
> When:
> {code:java}
> CREATE TABLE tmp.spark3_snap (
> id string
> )
> PARTITIONED BY (dt string)
> STORED AS ORC
> ;
> insert overwrite tmp.spark3_snap partition(dt='2020-09-09')
> select 10;
> insert overwrite tmp.spark3_snap partition(dt='2020-09-10')
> select 1;
> insert overwrite table tmp.spark3_snap partition(dt='2020-09-10')
> select id from tmp.spark3_snap where dt='2020-09-09';
> {code}
> and it will be get a error: "Cannot overwrite a path that is also being read
> from"
> related: https://issues.apache.org/jira/browse/SPARK-24194
> This work on spark 2.4.3 success
>
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