How to delete a value from ksqldb table or insert a tombstone value?

user_13748014 0
Viewed 2238

How is it possible to mark a row in a ksql table for deletion via Rest api or at least as a statement in ksqldb-cli?

CREATE TABLE movies (
      title VARCHAR PRIMARY KEY,
      id INT,
      release_year INT
    ) WITH (
      KAFKA_TOPIC='movies',
      PARTITIONS=1,
      VALUE_FORMAT = 'JSON'
    );

INSERT INTO MOVIES (ID, TITLE, RELEASE_YEAR) VALUES (48, 'Aliens', 1986);

This doesn't work for obvious reasons, but DELETE statement doesn't exist in ksqldb:

INSERT INTO MOVIES (ID, TITLE, RELEASE_YEAR) VALUES (48, null, null);

Is there a way to create a recommended tombstone null value or do I need to write it directly to the underlying topic?

ksqldb
1 Answers

There is a way to do this that's a bit of a workaround. The trick is to use the KAFKA value format to write a tombstone to the underlying topic.

Here's an example, using your original DDL.

-- Insert a second row of data
INSERT INTO MOVIES (ID, TITLE, RELEASE_YEAR) VALUES (42, 'Life of Brian', 1986);

-- Query table
ksql> SET 'auto.offset.reset' = 'earliest';

ksql> select * from movies emit changes limit 2;
+--------------------------------+--------------------------------+--------------------------------+
|TITLE                           |ID                              |RELEASE_YEAR                    |
+--------------------------------+--------------------------------+--------------------------------+
|Life of Brian                   |42                              |1986                            |
|Aliens                          |48                              |1986                            |
Limit Reached
Query terminated

Now declare a new stream that will write to the same Kafka topic using the same key:

CREATE STREAM MOVIES_DELETED (title VARCHAR KEY, DUMMY VARCHAR) 
  WITH (KAFKA_TOPIC='movies', 
       VALUE_FORMAT='KAFKA');

Insert a tombstone message:

INSERT INTO MOVIES_DELETED (TITLE,DUMMY) VALUES ('Aliens',CAST(NULL AS VARCHAR));

Query the table again:

ksql> select * from movies emit changes limit 2;
+--------------------------------+--------------------------------+--------------------------------+
|TITLE                           |ID                              |RELEASE_YEAR                    |
+--------------------------------+--------------------------------+--------------------------------+
|Life of Brian                   |42                              |1986                            |

Examine the underlying topic

ksql> print movies;
Key format: KAFKA_STRING
Value format: JSON or KAFKA_STRING
rowtime: 2021/02/22 11:01:05.966 Z, key: Aliens, value: {"ID":48,"RELEASE_YEAR":1986}, partition: 0
rowtime: 2021/02/22 11:02:00.194 Z, key: Life of Brian, value: {"ID":42,"RELEASE_YEAR":1986}, partition: 0
rowtime: 2021/02/22 11:04:52.569 Z, key: Aliens, value: <null>, partition: 0
user_3506130
Related