Spark DF save to table Hive not able to access

[#1]

Spark SQL 2.3. CDH 5.16.2

I am trying to save DF to a table in spark. The table already created in Hive. 

But when Spark job running I do a show create table t_table in Hive. 

It gives me table not found error. after spark job finish I can find the table again.

My questions is 

Is there any way to avoid such issue? It will cause issue if other programs refer same table in Hive

df.write.mode("overwrite").partitionBy("day_string").format("parquet").option("compression", "snappy").saveAsTable("t_table")

[#2]

spark.conf.set("spark.dynamicAllocation.enabled", "true")
spark.conf.set("spark.sql.sources.partitionOverwriteMode", "dynamic")
spark.conf.set("spark.sql.files.maxPartitionBytes", "268435456")
spark.conf.set("spark.sql.legacy.allowCreatingManagedTableUsingNonemptyLocation", "true")

 config applied in spark session

[#3]

Is this a Bug or it is a known issue or there is some config we can avoid such issue

[#4]

I think below comments explain the reason

When mode is Overwrite, the schema of the DataFrame does not need to be the same as that of the existing table.