The script generates the required .avsc files without requiring a direct
connection to the database. This makes it easier to generate schemas in
more secure installations where direct access and installing dependencies
might not be easy.
There's no need to use Python 3 for the script and using it introduces
problems due to the poor availability of MySQL Connector/Python for
Python3.
ENUM, SET and DECIMAL values should have a length of -1 as the length is
meaningless for these types.
The schema generator program needs to add the real_type and length fields
if the data types define them.
Also fixed a bug where the real_type and length fields were checked for
generated fields.
Printing all output as raw bytes allows MaxScale to control the formatting
process. This also removes the need to convert the bytes to Python strings
and the need to parse the JSON.
The json_stringn function should be used instead of the json_string to
allow null characters as well as non-null terminated strings to be
embedded in the JSON values.
The CDC example Python programs now decode the data as UTF-8 instead of
ASCII.
As the cdc_kafka_producer script is an example, it should flush the
producer after every new record. This should make it easier to see that
events from MaxScale are sent to Kafka.
There's no need to process the JSON twice as the Kafka producer is
expected to be used with the Python CDC client which already splits the
JSON with newlines.
