[
https://issues.apache.org/jira/browse/HIVE-24797?focusedWorklogId=555141&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-555141
]
ASF GitHub Bot logged work on HIVE-24797:
-----------------------------------------
Author: ASF GitHub Bot
Created on: 20/Feb/21 11:11
Start Date: 20/Feb/21 11:11
Worklog Time Spent: 10m
Work Description: wangyum commented on pull request #1994:
URL: https://github.com/apache/hive/pull/1994#issuecomment-782608079
Full stack trace:
```
21/02/19 01:43:22,745 WARN [HiveServer2-Background-Pool: Thread-162871]
avro.AvroSerDe:195 : Encountered exception determining schema. Returning signal
schema to indicate problem
org.apache.avro.AvroTypeException: Invalid default for field USERACTIONS:
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)
at
org.apache.spark.sql.hive.HadoopTableReader.$anonfun$makeRDDForPartitionedTable$1(TableReader.scala:146)
at scala.collection.immutable.Stream.map(Stream.scala:418)
at
org.apache.spark.sql.hive.HadoopTableReader.makeRDDForPartitionedTable(TableReader.scala:145)
at
org.apache.spark.sql.hive.execution.HiveTableScanExec.$anonfun$doExecute$2(HiveTableScanExec.scala:211)
at org.apache.spark.util.Utils$.withDummyCallSite(Utils.scala:2469)
at
org.apache.spark.sql.hive.execution.HiveTableScanExec.doExecute(HiveTableScanExec.scala:211)
at
org.apache.spark.sql.execution.SparkPlan.$anonfun$execute$1(SparkPlan.scala:181)
at
org.apache.spark.sql.execution.SparkPlan.$anonfun$executeQuery$1(SparkPlan.scala:219)
at
org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
at
org.apache.spark.sql.execution.SparkPlan.executeQuery(SparkPlan.scala:216)
at org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:177)
at
org.apache.spark.sql.execution.ProjectExec.doExecute(basicPhysicalOperators.scala:79)
at
org.apache.spark.sql.execution.SparkPlan.$anonfun$execute$1(SparkPlan.scala:181)
at
org.apache.spark.sql.execution.SparkPlan.$anonfun$executeQuery$1(SparkPlan.scala:219)
at
org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
at
org.apache.spark.sql.execution.SparkPlan.executeQuery(SparkPlan.scala:216)
at org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:177)
at
org.apache.spark.sql.execution.SparkPlan.getByteArrayRdd(SparkPlan.scala:323)
at
org.apache.spark.sql.execution.SparkPlan.executeTake(SparkPlan.scala:465)
at
org.apache.spark.sql.execution.SparkPlan.executeTake(SparkPlan.scala:451)
at
org.apache.spark.sql.execution.SparkPlan.executeTakeAsIterator(SparkPlan.scala:543)
at
org.apache.spark.sql.execution.CollectLimitExec.executeCollectAsIterator(limit.scala:50)
at
org.apache.spark.sql.Dataset.collectIteratorFromPlan(Dataset.scala:3659)
at
org.apache.spark.sql.Dataset.$anonfun$collectAsIterator$1(Dataset.scala:2951)
at
org.apache.spark.sql.Dataset.$anonfun$withAction$1(Dataset.scala:3641)
at
org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$5(SQLExecution.scala:105)
at
org.apache.spark.sql.execution.SQLExecution$.withSQLConfPropagated(SQLExecution.scala:165)
at
org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$1(SQLExecution.scala:90)
at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:772)
at
org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:67)
at org.apache.spark.sql.Dataset.withAction(Dataset.scala:3639)
at org.apache.spark.sql.Dataset.collectAsIterator(Dataset.scala:2951)
at
org.apache.spark.sql.hive.thriftserver.SparkExecuteStatementOperation.$anonfun$executeForResults$1(SparkExecuteStatementOperation.scala:481)
at
org.apache.spark.sql.hive.thriftserver.SparkExecuteStatementOperation.executeResultInShareGroup(SparkExecuteStatementOperation.scala:521)
at
org.apache.spark.sql.hive.thriftserver.SparkExecuteStatementOperation.executeForResults(SparkExecuteStatementOperation.scala:481)
at
org.apache.spark.sql.hive.thriftserver.SparkExecuteStatementOperation.$anonfun$execute$3(SparkExecuteStatementOperation.scala:329)
at
scala.runtime.java8.JFunction0$mcV$sp.apply(JFunction0$mcV$sp.java:23)
at
org.apache.spark.sql.hive.thriftserver.SparkExecuteStatementOperation.withRetry(SparkExecuteStatementOperation.scala:419)
at
org.apache.spark.sql.hive.thriftserver.SparkExecuteStatementOperation.org$apache$spark$sql$hive$thriftserver$SparkExecuteStatementOperation$$execute(SparkExecuteStatementOperation.scala:322)
at
org.apache.spark.sql.hive.thriftserver.SparkExecuteStatementOperation$$anon$1$$anon$2.$anonfun$run$1(SparkExecuteStatementOperation.scala:225)
at
scala.runtime.java8.JFunction0$mcV$sp.apply(JFunction0$mcV$sp.java:23)
at
org.apache.spark.sql.hive.thriftserver.SparkOperation.withLocalProperties(SparkOperation.scala:78)
at
org.apache.spark.sql.hive.thriftserver.SparkOperation.withLocalProperties$(SparkOperation.scala:62)
at
org.apache.spark.sql.hive.thriftserver.SparkExecuteStatementOperation.withLocalProperties(SparkExecuteStatementOperation.scala:57)
at
org.apache.spark.sql.hive.thriftserver.SparkExecuteStatementOperation$$anon$1$$anon$2.run(SparkExecuteStatementOperation.scala:225)
at
org.apache.spark.sql.hive.thriftserver.SparkExecuteStatementOperation$$anon$1$$anon$2.run(SparkExecuteStatementOperation.scala:220)
at java.security.AccessController.doPrivileged(Native Method)
at javax.security.auth.Subject.doAs(Subject.java:422)
at
org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1869)
at
org.apache.spark.sql.hive.thriftserver.SparkExecuteStatementOperation$$anon$1.run(SparkExecuteStatementOperation.scala:236)
at
java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:511)
at java.util.concurrent.FutureTask.run(FutureTask.java:266)
at
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
```
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Issue Time Tracking
-------------------
Worklog Id: (was: 555141)
Time Spent: 1.5h (was: 1h 20m)
> 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: 1.5h
> 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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