mattcasters opened a new pull request, #8607:
URL: https://github.com/apache/hop/pull/8607

   Avro Record fields in sampled rows could not be read back from an execution 
information location. Avro File Input and Kafka Consumer leave the schema off 
the value metadata, and the row codec wrote a raw Avro encoder onto the shared 
stream. Reading that blob threw `An Avro schema is needed to read a 
GenericRecord from an input stream` inside `rowsBinaryGzipBase64Encoded`. 
Loading the cache entry then failed, so drilling from a workflow into a stored 
Kafka pipeline never opened.
   
   Each Avro value now stores its writer schema and a length-prefixed datum. A 
column before or after the Avro field stays aligned, and a field with no 
metadata schema round-trips. Data profiling compares an Avro column by the 
record text it already shows, and it copies the sample row instead of keeping 
the live buffer. Neo4j stores the same bytes, because a `GenericRecord` is not 
a property value.
   
   An execution already saved with the old layout still opens. The schema was 
never written, so those Avro cells cannot be rebuilt. Complete rows read before 
the bad value are kept, and the log says the rest of that sample set was 
dropped.
   
   fixes #8600
   
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