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Posted to dev@avro.apache.org by "Jurgis Pods (Jira)" <ji...@apache.org> on 2020/04/08 10:04:00 UTC
[jira] [Created] (AVRO-2793) Schema compatibilty should consider
fullname of records
Jurgis Pods created AVRO-2793:
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Summary: Schema compatibilty should consider fullname of records
Key: AVRO-2793
URL: https://issues.apache.org/jira/browse/AVRO-2793
Project: Apache Avro
Issue Type: Bug
Components: java
Affects Versions: 1.9.2
Reporter: Jurgis Pods
Consider the following example:
{code:java}
Schema writerSchema = Schema.createRecord("fieldname", null, "namespace1", false, Collections.emptyList());
Schema readerSchema = Schema.createRecord("fieldname", null, "namespace2", false, Collections.emptyList());
// compat.getType() should be SchemaCompatibilityType.INCOMPATIBLE, but is actually SchemaCompatibilityType.COMPATIBLE
SchemaPairCompatibility compat = SchemaCompatibility.checkReaderWriterCompatibility(readerSchema, writerSchema2){code}
I would expect the validation to yield an incompatible result, as records should have identical fullnames.
This issue is similar to AVRO-2322, but vice versa: Here the namespace differs, not the record name.
The root cause seems to be in [SchemaCompatibility::schemaNameEquals|[https://github.com/apache/avro/blob/master/lang/java/avro/src/main/java/org/apache/avro/SchemaCompatibility.java#L97]|https://github.com/apache/avro/blob/master/lang/java/avro/src/main/java/org/apache/avro/SchemaCompatibility.java#L97),], where getName() is used instead of getFullName().
Is there any reason not to be strict here and use the fullname for validation? We ran into severe problems after changing a record's namespace in a newer schema version. The Avro schema compatibiltiy check ran through fine, so we deployed with confidence. However, the change then caused problems both for Confluent's kafka-s3-connector as well as for Amazon Athena when reading data produced by the new schema.
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