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https://issues.apache.org/jira/browse/SPARK-17920?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Felix Cheung updated SPARK-17920:
---------------------------------
Target Version/s: 2.2.1, 2.3.0 (was: 2.3.0, 2.2.2)
> HiveWriterContainer passes null configuration to serde.initialize, causing
> NullPointerException in AvroSerde when using avro.schema.url
> ---------------------------------------------------------------------------------------------------------------------------------------
>
> Key: SPARK-17920
> URL: https://issues.apache.org/jira/browse/SPARK-17920
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 1.6.2, 2.0.0
> Environment: AWS EMR 5.0.0: Spark 2.0.0, Hive 2.1.0
> Reporter: James Norvell
> Assignee: Vinod KC
> Priority: Minor
> Fix For: 2.2.1, 2.3.0
>
> Attachments: avro.avsc, avro_data
>
>
> When HiveWriterContainer intializes a serde it explicitly passes null for the
> Configuration:
> https://github.com/apache/spark/blob/v2.0.0/sql/hive/src/main/scala/org/apache/spark/sql/hive/hiveWriterContainers.scala#L161
> When attempting to write to a table stored as Avro with avro.schema.url set,
> this causes a NullPointerException when it tries to get the FileSystem for
> the URL:
> https://github.com/apache/hive/blob/release-2.1.0-rc3/serde/src/java/org/apache/hadoop/hive/serde2/avro/AvroSerdeUtils.java#L153
> Reproduction:
> {noformat}
> spark-sql> create external table avro_in (a string) stored as avro location
> '/avro-in/' tblproperties ('avro.schema.url'='/avro-schema/avro.avsc');
> spark-sql> create external table avro_out (a string) stored as avro location
> '/avro-out/' tblproperties ('avro.schema.url'='/avro-schema/avro.avsc');
> spark-sql> select * from avro_in;
> hello
> Time taken: 1.986 seconds, Fetched 1 row(s)
> spark-sql> insert overwrite table avro_out select * from avro_in;
> 16/10/13 19:34:47 WARN AvroSerDe: Encountered exception determining schema.
> Returning signal schema to indicate problem
> java.lang.NullPointerException
> at org.apache.hadoop.fs.FileSystem.getDefaultUri(FileSystem.java:182)
> at org.apache.hadoop.fs.FileSystem.get(FileSystem.java:174)
> at org.apache.hadoop.fs.FileSystem.get(FileSystem.java:359)
> at
> org.apache.hadoop.hive.serde2.avro.AvroSerdeUtils.getSchemaFromFS(AvroSerdeUtils.java:131)
> at
> org.apache.hadoop.hive.serde2.avro.AvroSerdeUtils.determineSchemaOrThrowException(AvroSerdeUtils.java:112)
> at
> org.apache.hadoop.hive.serde2.avro.AvroSerDe.determineSchemaOrReturnErrorSchema(AvroSerDe.java:167)
> at
> org.apache.hadoop.hive.serde2.avro.AvroSerDe.initialize(AvroSerDe.java:103)
> at
> org.apache.spark.sql.hive.SparkHiveWriterContainer.newSerializer(hiveWriterContainers.scala:161)
> at
> org.apache.spark.sql.hive.execution.InsertIntoHiveTable.sideEffectResult$lzycompute(InsertIntoHiveTable.scala:236)
> at
> org.apache.spark.sql.hive.execution.InsertIntoHiveTable.sideEffectResult(InsertIntoHiveTable.scala:142)
> at
> org.apache.spark.sql.hive.execution.InsertIntoHiveTable.doExecute(InsertIntoHiveTable.scala:313)
> at
> org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$1.apply(SparkPlan.scala:115)
> at
> org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$1.apply(SparkPlan.scala:115)
> at
> org.apache.spark.sql.execution.SparkPlan$$anonfun$executeQuery$1.apply(SparkPlan.scala:136)
> at
> org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
> at
> org.apache.spark.sql.execution.SparkPlan.executeQuery(SparkPlan.scala:133)
> at org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:114)
> at
> org.apache.spark.sql.execution.QueryExecution.toRdd$lzycompute(QueryExecution.scala:86)
> at
> org.apache.spark.sql.execution.QueryExecution.toRdd(QueryExecution.scala:86)
> at org.apache.spark.sql.Dataset.<init>(Dataset.scala:186)
> at org.apache.spark.sql.Dataset.<init>(Dataset.scala:167)
> at org.apache.spark.sql.Dataset$.ofRows(Dataset.scala:65)
> at org.apache.spark.sql.SparkSession.sql(SparkSession.scala:582)
> at org.apache.spark.sql.SQLContext.sql(SQLContext.scala:682)
> at
> org.apache.spark.sql.hive.thriftserver.SparkSQLDriver.run(SparkSQLDriver.scala:62)
> at
> org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver.processCmd(SparkSQLCLIDriver.scala:331)
> at org.apache.hadoop.hive.cli.CliDriver.processLine(CliDriver.java:376)
> at
> org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver$.main(SparkSQLCLIDriver.scala:247)
> at
> org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver.main(SparkSQLCLIDriver.scala)
> at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
> at
> sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
> at
> sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
> at java.lang.reflect.Method.invoke(Method.java:498)
> at
> org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:729)
> at
> org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:185)
> at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:210)
> at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:124)
> at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
> {noformat}
> Hive fixed a similar issue in FileSinkOperator in
> https://issues.apache.org/jira/browse/HIVE-9651
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