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https://issues.apache.org/jira/browse/HIVE-24797?focusedWorklogId=556714&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-556714
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ASF GitHub Bot logged work on HIVE-24797:
-----------------------------------------

                Author: ASF GitHub Bot
            Created on: 24/Feb/21 02:52
            Start Date: 24/Feb/21 02:52
    Worklog Time Spent: 10m 
      Work Description: sunchao commented on pull request #1994:
URL: https://github.com/apache/hive/pull/1994#issuecomment-784710645


   @wangyum yes will backport to branch-2.3. How severe is the issue from Spark 
side? Wondering about this since 2.3.8 was released just weeks ago.


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Issue Time Tracking
-------------------

    Worklog Id:     (was: 556714)
    Time Spent: 2h 20m  (was: 2h 10m)

> Disable validate default values when parsing Avro schemas
> ---------------------------------------------------------
>
>                 Key: HIVE-24797
>                 URL: https://issues.apache.org/jira/browse/HIVE-24797
>             Project: Hive
>          Issue Type: Bug
>            Reporter: Yuming Wang
>            Priority: Major
>              Labels: pull-request-available
>          Time Spent: 2h 20m
>  Remaining Estimate: 0h
>
> It will throw exceptions when upgrading Avro to 1.10.1 for this schema:
> {code:json}
> {
>     "type": "record",
>     "name": "EventData",
>     "doc": "event data",
>     "fields": [
>         {"name": "ARRAY_WITH_DEFAULT", "type": {"type": "array", "items": 
> "string"}, "default": null }
>     ]
> }
> {code}
> {noformat}
> org.apache.avro.AvroTypeException: Invalid default for field 
> ARRAY_WITH_DEFAULT: null not a {"type":"array","items":"string"}
>       at org.apache.avro.Schema.validateDefault(Schema.java:1571)
>       at org.apache.avro.Schema.access$500(Schema.java:87)
>       at org.apache.avro.Schema$Field.<init>(Schema.java:544)
>       at org.apache.avro.Schema.parse(Schema.java:1678)
>       at org.apache.avro.Schema$Parser.parse(Schema.java:1425)
>       at org.apache.avro.Schema$Parser.parse(Schema.java:1396)
>       at 
> org.apache.hadoop.hive.serde2.avro.AvroSerdeUtils.getSchemaFor(AvroSerdeUtils.java:287)
>       at 
> org.apache.hadoop.hive.serde2.avro.AvroSerdeUtils.getSchemaFromFS(AvroSerdeUtils.java:170)
>       at 
> org.apache.hadoop.hive.serde2.avro.AvroSerdeUtils.determineSchemaOrThrowException(AvroSerdeUtils.java:139)
>       at 
> org.apache.hadoop.hive.serde2.avro.AvroSerDe.determineSchemaOrReturnErrorSchema(AvroSerDe.java:187)
>       at 
> org.apache.hadoop.hive.serde2.avro.AvroSerDe.initialize(AvroSerDe.java:107)
>       at 
> org.apache.hadoop.hive.serde2.avro.AvroSerDe.initialize(AvroSerDe.java:83)
>       at 
> org.apache.hadoop.hive.serde2.SerDeUtils.initializeSerDe(SerDeUtils.java:533)
>       at 
> org.apache.hadoop.hive.metastore.MetaStoreUtils.getDeserializer(MetaStoreUtils.java:493)
>       at 
> org.apache.hadoop.hive.ql.metadata.Partition.getDeserializer(Partition.java:225)
> {noformat}



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