sarutak opened a new pull request, #94:
URL: https://github.com/apache/arrow-testing/pull/94

   This PR proposes to update `nested_recods.avro` to support nullable records.
   This change is necessary for [this 
PR](https://github.com/apache/arrow-datafusion/pull/7663).
   
   This change appends new fields `f3` and `f4` to the existing schema (the 
last two fields).
   `f3` is union of `null` and a record, and `f4` is array of union of `null` 
and record.
   ```
   {
       "name": "record1",
       "namespace": "ns1",
       "type": "record",
       "fields": [
           {
               "name": "f1",
               "type": {
                   "name": "record2",
                   "namespace": "ns2",
                   "type": "record",
                   "fields": [
                       {
                           "name": "f1_1",
                           "type": "string"
                       },  {
                           "name": "f1_2",
                           "type": "int"
                       },  {
                           "name": "f1_3",
                           "type": {
                               "name": "record3",
                               "namespace": "ns3",
                               "type": "record",
                               "fields": [
                                   {
                                       "name": "f1_3_1",
                                       "type": "double"
                                   }
                               ]
                           }
                       }
                   ]
               }
           },  {
               "name": "f2",
               "type": "array",
               "items": {
                   "name": "record4",
                   "namespace": "ns4",
                   "type": "record",
                   "fields": [
                       {
                           "name": "f2_1",
                           "type": "boolean"
                       },  {
                           "name": "f2_2",
                           "type": "float"
                       }
                   ]
               }
           },  {
               "name": "f3",
               "type": [
                   "null",
                   {
                       "name": "record5",
                       "namespace": "ns5",
                       "type": "record",
                       "fields": [
                           {
                               "name": "f3_1",
                               "type": "string"
                           }
                       ]
                   }
               ],
               "default": null
           },  {
               "name": "f4",
               "type": "array",
               "items": [
                   "null",
                   {
                       "name": "record6",
                       "namespace": "ns6",
                       "type": "record",
                       "fields": [
                           {
                               "name": "f4_1",
                               "type": "long"
                           }
                       ]
                   }
               ]
           }
       ]
   }
   ```
   
   And the data represented in JSON is as follows.
   ```
   
{"f1":{"f1_1":"aaa","f1_2":10,"f1_3":{"f1_3_1":3.14}},"f2":[{"f2_1":true,"f2_2":1.2000000476837158},{"f2_1":true,"f2_2":2.200000047683716}],"f3":{"f3_1":"xyz"},"f4":[{"f4_1":200},null]}
   
{"f1":{"f1_1":"bbb","f1_2":20,"f1_3":{"f1_3_1":3.14}},"f2":[{"f2_1":false,"f2_2":10.199999809265137}],"f3":null,"f4":[null,{"f4_1":300}]}
   ```


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