Schema Registry This page provides examples for defining a connection to Schema Registries.
Confluent
Simple configuration, with JMX metrics
The URLs (nodes) should always have a scheme defined (http:// or https://).
Copy confluentSchemaRegistry :
- name : schema-registry
tags : [ "tag1" ]
version : 1
configuration :
schemaRegistryUrls :
value :
- http://my-sr.host1:8081
- http://my-sr.host2:8081
## all metrics properties are optional
metricsPort :
value : 9581
metricsType :
value : JMX
metricsSsl :
value : false
Basic authentication
For Basic Authentication, define username
and password
properties.
Copy confluentSchemaRegistry :
- name : schema-registry
tags : [ "tag1" ]
version : 1
configuration :
schemaRegistryUrls :
value :
- http://my-sr.host1:8081
- http://my-sr.host2:8081
username :
value : my-username
password :
value : my-password
TLS with custom truststore
A custom truststore is needed when the Schema Registry is served over TLS (encryption-in-transit) and the Registry’s certificate is not signed by a trusted CA.
Copy confluentSchemaRegistry :
- name : schema-registry
tags : [ "tag1" ]
version : 1
configuration :
schemaRegistryUrls :
value :
- http://my-sr.host1:8081
- http://my-sr.host2:8081
sslTruststore :
fileRef :
filePath : /path/to/my/truststore.jks
sslTruststorePassword :
value : myPassword
TLS with client authentication
A custom truststore might be necessary too (see above).
Copy confluentSchemaRegistry :
- name : schema-registry
tags : [ "tag1" ]
version : 1
configuration :
schemaRegistryUrls :
value :
- http://my-sr.host1:8081
- http://my-sr.host2:8081
sslKeystore :
fileRef :
filePath : /path/to/my/keystore.jks
sslKeystorePassword :
value : myPassword
Hard or soft delete
By default, Lenses will use hard delete for Schema Registry. To use soft delete, add the following property:
Copy confluentSchemaRegistry :
- name : schema-registry
tags : [ "tag1" ]
version : 1
configuration :
schemaRegistryUrls :
value :
- http://my-sr.host1:8081
- http://my-sr.host2:8081
hardDelete :
value : true
AWS Glue
Some connections depend on others. One example is the AWS Glue Schema Registry connection, which depends on an AWS connection. These are examples of provision Lenses with an AWS connection named my-aws-connection
and an AWS Glue Schema Registry that references it.
Using AWS Access Key
Copy aws :
- name : my-aws-connection
tags : [ "tag1" ]
version : 1
configuration :
authMode :
value : Access Key
accessKeyId :
value : my-access-key-id
secretAccessKey :
value : my-secret-access-key
region :
value : eu-west-1
glueSchemaRegistry :
- name : schema-registry
tags : [ "tag1" ]
version : 1
configuration :
authMode :
value : my-aws-connection
accessKeyId :
reference : my-aws-connection
secretAccessKey :
reference : my-aws-connection
glueRegistryArn :
value : arn:aws:glue:region:123123123:registry/my-registry
Using AWS Credentials Chain
Copy aws :
- name : my-aws-connection
tags : [ "tag1" ]
version : 1
configuration :
authMode :
value : Credentials Chain
region :
value : eu-west-1
glueSchemaRegistry :
- name : schema-registry
tags : [ "tag1" ]
version : 1
configuration :
authMode :
value : my-aws-connection
glueRegistryArn :
value : arn:aws:glue:region:123123123:registry/my-registry