tree 8b410ed89d721d61708c648daf32684dbd374c4f
parent 34b63d67e54c3ea302e35d6e9f2513d7345b45dd
author akashrn5 <akashnilugal@gmail.com> 1595571620 +0530
committer kunal642 <kunalkapoor642@gmail.com> 1598268149 +0530

[CARBONDATA-3933]Fix DDL/DML failures after table is created
with column names having special characters like #,\,%

Why is this PR needed?
when operations like insert,describe, select is fired after
table is created with column names having special characters,
operations fails. This is because after table creation spark already
stred the column names with special characters correctly,
bt for further operations we try to update the metastore/refresh
with new schema parts which is unnecessary which causes this issue.

What changes were proposed in this PR?
We use unnecessary API to update the serde properties of table by
calling spark-sql, this was required when we used to support the
spark-2.1 and 2.2 version when spark was not supporting many alter
table operations. Now since we use other APIs to alter the table,
these API calls are not necessary. So once we remove we in turn
avoid updating the serde properties with the modified schema parts which solves this issue.

This closes #3862