[GitHub] [iceberg] romanstreamsets opened a new issue, #6796: AvtoSchemaUtils.convert() method produces Iceberg schema different from that by Hive/Spark

[via GitHub]

romanstreamsets opened a new issue, #6796:
URL: https://github.com/apache/iceberg/issues/6796

   ### Apache Iceberg version
   
   1.1.0 (latest release)
   
   ### Query engine
   
   Spark
   
   ### Please describe the bug 🐞
   
   Say, I run this in Spark/Hive: `CREATE TABLE FOO (col1 int) USING iceberg;`
   
   Then I run something like this in a Java/groovy code:
   ```
   org.apache.avro.Schema avroSchema = org.apache.avro.Schema.parse("{   
\"type\" : \"record\",\"name\" : \"Employee\",   \"fields\" :  [    { \"name\" 
: \"col1\" , \"type\" : \"int\" } ] }");
   org.apache.iceberg.Schema icebergSchema = 
AvroSchemaUtil.toIceberg(avroSchema);
   ```
   ... and proceed with writing data into the table:
   GenericRecord record = GenericRecord.create(icebergSchema);
   ImmutableList.Builder<GenericRecord> builder = ImmutableList.builder();
   builder.add(record.copy(ImmutableMap.of("col1", 111)));


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