[jira] [Created] (CARBONDATA-4279) Insert data to table with a partitions resulting in 'Marked for Delete' segment in Spark in EMR

["Bigicecream (Jira)" <ji...@apache.org>]

Bigicecream created CARBONDATA-4279:
---------------------------------------

             Summary: Insert data to table with a partitions resulting in 'Marked for Delete' segment in Spark in EMR
                 Key: CARBONDATA-4279
                 URL: https://issues.apache.org/jira/browse/CARBONDATA-4279
             Project: CarbonData
          Issue Type: Bug
    Affects Versions: 2.3.0
         Environment: Release label:emr-5.24.1
Hadoop distribution:Amazon 2.8.5
Applications:
Hue 4.4.0, Spark 2.4.5,JupyterHub 0.9.6

Jar complied with:
apache-carbondata:2.3.0-SNAPSHOT
spark:2.4.5
hadoop:2.8.3
            Reporter: Bigicecream


as decribed [here|https://github.com/apache/carbondata/issues/4212]

After the commit [https://github.com/apache/carbondata/commit/42f69827e0a577b6128417104c0a49cd5bf21ad7]

I have successfully created a table with partitions, but when I trying insert data the job end with a success
 but the segment is marked as "Marked for Delete"

I am running:
{code:sql}
CREATE TABLE lior_carbon_tests.mark_for_del_bug(
timestamp string,
name string
)
STORED AS carbondata
PARTITIONED BY (dt string, hr string)
{code}
{code:sql}
INSERT INTO lior_carbon_tests.mark_for_del_bug select '2021-07-07T13:23:56.012+00:00','spark','2021-07-07','13'
{code}
{code:sql}
select * from lior_carbon_tests.mark_for_del_bug
{code}
gives:
{code:java}
+---------+----+---+---+
|timestamp|name| dt| hr|
+---------+----+---+---+
+---------+----+---+---+
{code}
And
{code:java}
show segments for TABLE lior_carbon_tests.mark_for_del_bug
{code}
gives

 
{code:java}
+---+-----------------+-----------------------+---------------+---------+---------+----------+-----------+
|ID |Status           |Load Start Time        |Load Time Taken|Partition|Data Size|Index Size|File Format|
+---+-----------------+-----------------------+---------------+---------+---------+----------+-----------+
|0  |Marked for Delete|2021-09-02 15:24:21.022|11.798S        |NA       |NA       |NA        |columnar_v3|
+---+-----------------+-----------------------+---------------+---------+---------+----------+-----------+
{code}

 
I took a looking at the folder structure in S3 and it seems fine



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