I think that submitting the spark job on behalf of user01 will solve the
problem.
You may also try to set a sticky bit on /data/user01/rdd folder if you want
to allow multiple users writing to /data/user01/rdd same at same time, but
i'd not recommend allow multiple users writing to same dir
Thank you for the first answer to my question.
Unfortunately, I have to make totally different tables
and It is not possible to make only one table via UGI.
---
below is the sample codes I wrote.
org.apache.hadoop.security.UserGroupInformation.createRemoteUser("user01").doAs(new
Assuming that all tables have same schema, you can make entire global
table partitioned by some column. Then apply specific UGOs permissions/ACLs per
partition subdirectory
> On 25 Mar 2021, at 15:13, Kwangsun Noh wrote:
>
>
> Hi, Spark users.
>
> Currently I have to make multiple tables
Hi, Spark users.
Currently I have to make multiple tables in hdfs using spark api.
The tables need to made by each other users.
For example, table01 is owned by user01, table02 is owned by user02 like
below.
path | owner:group | permission
