kunal-nandwana opened a new issue, #5548:
URL: https://github.com/apache/iceberg/issues/5548
### Query engine
Spark
### Question
Hi Team.
Currently I am using Iceberg in my project, so I am having one double in
that.
My Current Scenario:
1. I have loaded the data into my Iceberg table using spark data frame(this
is my doing through spark job)
**df.writeTo("catalog.my.test2").using("iceberg").create()**
2. Now From source side I have added two colums and started the Job which is
doing merge
**df.createOrReplaceTempView("myview")
spark.sql("MERGE INTO catalog.mydb.test2 as t USING (SELECT * FROM myview)
as s ON t.id = s.id WHEN MATCHED THEN UPDATE SET * WHEN NOT MATCHED THEN INSERT
*")**
Doing both of these step I am expecting new columns to be added into the
target table but it did not worked,
**As I can Iceberg Support full schema evolution.. What does it means..Which
is not adding any columns dynamically to my target table.**
Please help how can I achieve adding new columns into my target table
dynmically.
--
This is an automated message from the Apache Git Service.
To respond to the message, please log on to GitHub and use the
URL above to go to the specific comment.
To unsubscribe, e-mail: [email protected]
For queries about this service, please contact Infrastructure at:
[email protected]
---------------------------------------------------------------------
To unsubscribe, e-mail: [email protected]
For additional commands, e-mail: [email protected]
