markussteininger opened a new issue #9571:
URL: https://github.com/apache/pulsar/issues/9571
**Describe the bug**
Hi i just want to know if i do something wrong or if someone has identify
following behavior (and found some solution for fixing it)
I create a topic and upload the Avro Schema as Yaml
```
pulsar/bin/pulsar-admin topics create persistent://schema/test3/foo22
/pulsar/bin/pulsar-admin schemas upload persistent://schema/test3/foo22 -f
/git_files/schema/schema-validation.avro
```
Content of Avro Yaml Schema:
`{"type":
"AVRO","schema":"{\"name\":\"Validation\",\"type\":\"record\",\"fields\":[{\"name\":\"messagetimestamp\",\"type\":\"string\"}]}","properties":
{}}`
Schema looks like that with schemas get
```/pulsar/bin/pulsar-admin schemas get schema/test3/foo22
{
"version": 0,
"schemaInfo": {
"name": "foo22",
"schema": {
"name": "Validation",
"type": "record",
"fields": [
{
"name": "messagetimestamp",
"type": "string"
}
]
},
"type": "AVRO",
"properties": {}
}
}
```
set-is-allow-auot-update-schema is set to disable(!) to cover that nowone is
“destroying” or topic
but if i know use a python producer the schema is failing with “incompatible
schema”
python code:
```
class Validation(Record):
messagetimestamp = String(required=True)
producer = client.create_producer(topic, schema=AvroSchema(Validation))
inputString='Test55'
producer.send(Validation(
messagetimestamp = inputString
))
print("Message send")
client.close()
```
same behaviour with python pulsar functions .
if i turn on the auto schema update a new schema is created but total same
structure:
```
{
"version": 1,
"schemaInfo": {
"name": "foo22",
"schema": {
"name": "Validation",
"type": "record",
"fields": [
{
"name": "messagetimestamp",
"type": "string"
}
]
},
"type": "AVRO",
"properties": {}
}
}
```
Any idea why that happens and how can i avoid that multiple producer
(written in Java, Python) are changing the schema all time?!
**To Reproduce**
Steps to reproduce the behavior:
1. create topic
2. upload avro Schema (with yml reference -f yml file)
3. deactivate auto schema update
4. create python consumer (incompatible schema)
5. enable auto schema update
6. check schema (schema version changed)
**Expected behavior**
Schema version shouldn't be updated if python schema is the same as given in
the schema upload (could it be that there is some hidden character given?!)
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