[jira] [Commented] (SPARK-26675) Error happened during creating avro files

2020-02-18 Thread Thomas Humphries (Jira) 


[ 
https://issues.apache.org/jira/browse/SPARK-26675?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17039508#comment-17039508
 ] 

Thomas Humphries commented on SPARK-26675:
--

*bump 2020* - issue still occurs with Spark 2.4.3 and Avro 2.12, using any of 
PySpark, Scala jar (2.12.8), or Java jar (1.8).  Any use of 

{code:java}
df.write.format("avro")
{code}
results in:

{code:java}
Exception in thread "main" java.lang.NoSuchMethodError: 
org.apache.avro.Schema.createUnion([Lorg/apache/avro/Schema;)Lorg/apache/avro/Schema;
at 
org.apache.spark.sql.avro.SchemaConverters$.toAvroType(SchemaConverters.scala:185)
{code}
... etc as per OP.

> Error happened during creating avro files
> -
>
> Key: SPARK-26675
> URL: https://issues.apache.org/jira/browse/SPARK-26675
> Project: Spark
>  Issue Type: Bug
>  Components: PySpark, SQL
>Affects Versions: 2.4.0
>Reporter: Tony Mao
>Priority: Major
>
> Run cmd
> {code:java}
> spark-submit --packages org.apache.spark:spark-avro_2.11:2.4.0 
> /nke/reformat.py
> {code}
> code in reformat.py
> {code:java}
> df = spark.read.option("multiline", "true").json("file:///nke/example1.json")
> df.createOrReplaceTempView("traffic")
> a = spark.sql("""SELECT store.*, store.name as store_name, 
> store.dataSupplierId as store_dataSupplierId, trafficSensor.*,
> trafficSensor.name as trafficSensor_name, trafficSensor.dataSupplierId as 
> trafficSensor_dataSupplierId, readings.*
> FROM (SELECT explode(stores) as store, explode(store.trafficSensors) as 
> trafficSensor,
> explode(trafficSensor.trafficSensorReadings) as readings FROM traffic)""")
> b = a.drop("trafficSensors", "trafficSensorReadings", "name", 
> "dataSupplierId")
> b.write.format("avro").save("file:///nke/curated/namesAndFavColors.avro")
> {code}
> Error message:
> {code:java}
> Traceback (most recent call last):
> File "/nke/reformat.py", line 18, in 
> b.select("store_name", 
> "store_dataSupplierId").write.format("avro").save("file:///nke/curated/namesAndFavColors.avro")
> File "/usr/spark-2.4.0/python/lib/pyspark.zip/pyspark/sql/readwriter.py", 
> line 736, in save
> File "/usr/spark-2.4.0/python/lib/py4j-0.10.7-src.zip/py4j/java_gateway.py", 
> line 1257, in __call__
> File "/usr/spark-2.4.0/python/lib/pyspark.zip/pyspark/sql/utils.py", line 63, 
> in deco
> File "/usr/spark-2.4.0/python/lib/py4j-0.10.7-src.zip/py4j/protocol.py", line 
> 328, in get_return_value
> py4j.protocol.Py4JJavaError: An error occurred while calling o45.save.
> : java.lang.NoSuchMethodError: 
> org.apache.avro.Schema.createUnion([Lorg/apache/avro/Schema;)Lorg/apache/avro/Schema;
> at 
> org.apache.spark.sql.avro.SchemaConverters$.toAvroType(SchemaConverters.scala:185)
> at 
> org.apache.spark.sql.avro.SchemaConverters$$anonfun$5.apply(SchemaConverters.scala:176)
> at 
> org.apache.spark.sql.avro.SchemaConverters$$anonfun$5.apply(SchemaConverters.scala:174)
> at scala.collection.Iterator$class.foreach(Iterator.scala:891)
> at scala.collection.AbstractIterator.foreach(Iterator.scala:1334)
> at scala.collection.IterableLike$class.foreach(IterableLike.scala:72)
> at org.apache.spark.sql.types.StructType.foreach(StructType.scala:99)
> at 
> org.apache.spark.sql.avro.SchemaConverters$.toAvroType(SchemaConverters.scala:174)
> at 
> org.apache.spark.sql.avro.AvroFileFormat$$anonfun$7.apply(AvroFileFormat.scala:118)
> at 
> org.apache.spark.sql.avro.AvroFileFormat$$anonfun$7.apply(AvroFileFormat.scala:118)
> at scala.Option.getOrElse(Option.scala:121)
> at 
> org.apache.spark.sql.avro.AvroFileFormat.prepareWrite(AvroFileFormat.scala:118)
> at 
> org.apache.spark.sql.execution.datasources.FileFormatWriter$.write(FileFormatWriter.scala:103)
> at 
> org.apache.spark.sql.execution.datasources.InsertIntoHadoopFsRelationCommand.run(InsertIntoHadoopFsRelationCommand.scala:159)
> at 
> org.apache.spark.sql.execution.command.DataWritingCommandExec.sideEffectResult$lzycompute(commands.scala:104)
> at 
> org.apache.spark.sql.execution.command.DataWritingCommandExec.sideEffectResult(commands.scala:102)
> at 
> org.apache.spark.sql.execution.command.DataWritingCommandExec.doExecute(commands.scala:122)
> at 
> org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$1.apply(SparkPlan.scala:131)
> at 
> org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$1.apply(SparkPlan.scala:127)
> at 
> org.apache.spark.sql.execution.SparkPlan$$anonfun$executeQuery$1.apply(SparkPlan.scala:155)
> at 
> org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
> at org.apache.spark.sql.execution.SparkPlan.executeQuery(SparkPlan.scala:152)
> at org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:127)
> at 
> org.apache.spark.sql.execution.QueryExecution.toRdd$lzycompute(QueryExecution.scala:80)
> at 
>

[jira] [Commented] (SPARK-26675) Error happened during creating avro files

2019-07-06 Thread Silviu Tantos (JIRA) 


[ 
https://issues.apache.org/jira/browse/SPARK-26675?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16879656#comment-16879656
 ] 

Silviu Tantos commented on SPARK-26675:
---

_createUnion_ was added in Avro 1.8.0 but the built-in Avro version is 1.7.7 
for Spark 2.4.3. Make sure you have a newer version and there are no clashes.

> Error happened during creating avro files
> -
>
> Key: SPARK-26675
> URL: https://issues.apache.org/jira/browse/SPARK-26675
> Project: Spark
>  Issue Type: Bug
>  Components: PySpark, SQL
>Affects Versions: 2.4.0
>Reporter: Tony Mao
>Priority: Major
>
> Run cmd
> {code:java}
> spark-submit --packages org.apache.spark:spark-avro_2.11:2.4.0 
> /nke/reformat.py
> {code}
> code in reformat.py
> {code:java}
> df = spark.read.option("multiline", "true").json("file:///nke/example1.json")
> df.createOrReplaceTempView("traffic")
> a = spark.sql("""SELECT store.*, store.name as store_name, 
> store.dataSupplierId as store_dataSupplierId, trafficSensor.*,
> trafficSensor.name as trafficSensor_name, trafficSensor.dataSupplierId as 
> trafficSensor_dataSupplierId, readings.*
> FROM (SELECT explode(stores) as store, explode(store.trafficSensors) as 
> trafficSensor,
> explode(trafficSensor.trafficSensorReadings) as readings FROM traffic)""")
> b = a.drop("trafficSensors", "trafficSensorReadings", "name", 
> "dataSupplierId")
> b.write.format("avro").save("file:///nke/curated/namesAndFavColors.avro")
> {code}
> Error message:
> {code:java}
> Traceback (most recent call last):
> File "/nke/reformat.py", line 18, in 
> b.select("store_name", 
> "store_dataSupplierId").write.format("avro").save("file:///nke/curated/namesAndFavColors.avro")
> File "/usr/spark-2.4.0/python/lib/pyspark.zip/pyspark/sql/readwriter.py", 
> line 736, in save
> File "/usr/spark-2.4.0/python/lib/py4j-0.10.7-src.zip/py4j/java_gateway.py", 
> line 1257, in __call__
> File "/usr/spark-2.4.0/python/lib/pyspark.zip/pyspark/sql/utils.py", line 63, 
> in deco
> File "/usr/spark-2.4.0/python/lib/py4j-0.10.7-src.zip/py4j/protocol.py", line 
> 328, in get_return_value
> py4j.protocol.Py4JJavaError: An error occurred while calling o45.save.
> : java.lang.NoSuchMethodError: 
> org.apache.avro.Schema.createUnion([Lorg/apache/avro/Schema;)Lorg/apache/avro/Schema;
> at 
> org.apache.spark.sql.avro.SchemaConverters$.toAvroType(SchemaConverters.scala:185)
> at 
> org.apache.spark.sql.avro.SchemaConverters$$anonfun$5.apply(SchemaConverters.scala:176)
> at 
> org.apache.spark.sql.avro.SchemaConverters$$anonfun$5.apply(SchemaConverters.scala:174)
> at scala.collection.Iterator$class.foreach(Iterator.scala:891)
> at scala.collection.AbstractIterator.foreach(Iterator.scala:1334)
> at scala.collection.IterableLike$class.foreach(IterableLike.scala:72)
> at org.apache.spark.sql.types.StructType.foreach(StructType.scala:99)
> at 
> org.apache.spark.sql.avro.SchemaConverters$.toAvroType(SchemaConverters.scala:174)
> at 
> org.apache.spark.sql.avro.AvroFileFormat$$anonfun$7.apply(AvroFileFormat.scala:118)
> at 
> org.apache.spark.sql.avro.AvroFileFormat$$anonfun$7.apply(AvroFileFormat.scala:118)
> at scala.Option.getOrElse(Option.scala:121)
> at 
> org.apache.spark.sql.avro.AvroFileFormat.prepareWrite(AvroFileFormat.scala:118)
> at 
> org.apache.spark.sql.execution.datasources.FileFormatWriter$.write(FileFormatWriter.scala:103)
> at 
> org.apache.spark.sql.execution.datasources.InsertIntoHadoopFsRelationCommand.run(InsertIntoHadoopFsRelationCommand.scala:159)
> at 
> org.apache.spark.sql.execution.command.DataWritingCommandExec.sideEffectResult$lzycompute(commands.scala:104)
> at 
> org.apache.spark.sql.execution.command.DataWritingCommandExec.sideEffectResult(commands.scala:102)
> at 
> org.apache.spark.sql.execution.command.DataWritingCommandExec.doExecute(commands.scala:122)
> at 
> org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$1.apply(SparkPlan.scala:131)
> at 
> org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$1.apply(SparkPlan.scala:127)
> at 
> org.apache.spark.sql.execution.SparkPlan$$anonfun$executeQuery$1.apply(SparkPlan.scala:155)
> at 
> org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
> at org.apache.spark.sql.execution.SparkPlan.executeQuery(SparkPlan.scala:152)
> at org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:127)
> at 
> org.apache.spark.sql.execution.QueryExecution.toRdd$lzycompute(QueryExecution.scala:80)
> at 
> org.apache.spark.sql.execution.QueryExecution.toRdd(QueryExecution.scala:80)
> at 
> org.apache.spark.sql.DataFrameWriter$$anonfun$runCommand$1.apply(DataFrameWriter.scala:668)
> at 
> org.apache.spark.sql.DataFrameWriter$$anonfun$runCommand$1.apply(DataFrameWriter.scala:668)
> at 
>

[jira] [Commented] (SPARK-26675) Error happened during creating avro files

2019-07-03 Thread Andrei Koiro (JIRA) 


[ 
https://issues.apache.org/jira/browse/SPARK-26675?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16878075#comment-16878075
 ] 

Andrei Koiro commented on SPARK-26675:
--

Have the same issue on spark 2.4.3 scala 2.11
{code:java}
java.lang.NoSuchMethodError: 
org.apache.avro.Schema.createUnion([Lorg/apache/avro/Schema;)Lorg/apache/avro/Schema;
  at 
org.apache.spark.sql.avro.SchemaConverters$.toAvroType(SchemaConverters.scala:185)
  at 
org.apache.spark.sql.avro.SchemaConverters$$anonfun$5.apply(SchemaConverters.scala:176)
  at 
org.apache.spark.sql.avro.SchemaConverters$$anonfun$5.apply(SchemaConverters.scala:174)
  at scala.collection.Iterator$class.foreach(Iterator.scala:891)
  at scala.collection.AbstractIterator.foreach(Iterator.scala:1334)
  at scala.collection.IterableLike$class.foreach(IterableLike.scala:72)
  at org.apache.spark.sql.types.StructType.foreach(StructType.scala:99)
  at 
org.apache.spark.sql.avro.SchemaConverters$.toAvroType(SchemaConverters.scala:174)
  at 
org.apache.spark.sql.avro.AvroFileFormat$$anonfun$7.apply(AvroFileFormat.scala:118)
  at 
org.apache.spark.sql.avro.AvroFileFormat$$anonfun$7.apply(AvroFileFormat.scala:118)
  at scala.Option.getOrElse(Option.scala:121)
  at 
org.apache.spark.sql.avro.AvroFileFormat.prepareWrite(AvroFileFormat.scala:118)
  at 
org.apache.spark.sql.execution.datasources.FileFormatWriter$.write(FileFormatWriter.scala:103)
  at 
org.apache.spark.sql.execution.datasources.InsertIntoHadoopFsRelationCommand.run(InsertIntoHadoopFsRelationCommand.scala:159)
  at 
org.apache.spark.sql.execution.command.DataWritingCommandExec.sideEffectResult$lzycompute(commands.scala:104)
  at 
org.apache.spark.sql.execution.command.DataWritingCommandExec.sideEffectResult(commands.scala:102)
  at 
org.apache.spark.sql.execution.command.DataWritingCommandExec.doExecute(commands.scala:122)
  at 
org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$1.apply(SparkPlan.scala:131)
  at 
org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$1.apply(SparkPlan.scala:127)
  at 
org.apache.spark.sql.execution.SparkPlan$$anonfun$executeQuery$1.apply(SparkPlan.scala:155)
  at 
org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
  at org.apache.spark.sql.execution.SparkPlan.executeQuery(SparkPlan.scala:152)
  at org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:127)
  at 
org.apache.spark.sql.execution.QueryExecution.toRdd$lzycompute(QueryExecution.scala:80)
  at 
org.apache.spark.sql.execution.QueryExecution.toRdd(QueryExecution.scala:80)
  at 
org.apache.spark.sql.DataFrameWriter$$anonfun$runCommand$1.apply(DataFrameWriter.scala:676)
  at 
org.apache.spark.sql.DataFrameWriter$$anonfun$runCommand$1.apply(DataFrameWriter.scala:676)
  at 
org.apache.spark.sql.execution.SQLExecution$$anonfun$withNewExecutionId$1.apply(SQLExecution.scala:78)
  at 
org.apache.spark.sql.execution.SQLExecution$.withSQLConfPropagated(SQLExecution.scala:125)
  at 
org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:73)
  at org.apache.spark.sql.DataFrameWriter.runCommand(DataFrameWriter.scala:676)
  at 
org.apache.spark.sql.DataFrameWriter.saveToV1Source(DataFrameWriter.scala:285)
  at org.apache.spark.sql.DataFrameWriter.save(DataFrameWriter.scala:271)
  at org.apache.spark.sql.DataFrameWriter.save(DataFrameWriter.scala:229)
  ... 51 elided
{code}
here is my code
{code}
val values = List(("ETH","ETHBTC",8), ("LTC","LTCBTC",8), ("BNB","BNBBTC",8))
val df = values.toDF()
df.write.format("avro").save("/work/df.avro")
{code}
This code also throws this exception
{code}
val values = List("ETH","LTC","BNB")
val df = values.toDF()
df.write.format("avro").save("/work/df.avro")
{code}
Whereas this one works as expected:
{code}
val values = List(1,2,3)
val df = values.toDF()
df.write.format("avro").save("/work/df.avro")
{code}
 

> Error happened during creating avro files
> -
>
> Key: SPARK-26675
> URL: https://issues.apache.org/jira/browse/SPARK-26675
> Project: Spark
>  Issue Type: Bug
>  Components: PySpark, SQL
>Affects Versions: 2.4.0
>Reporter: Tony Mao
>Priority: Major
>
> Run cmd
> {code:java}
> spark-submit --packages org.apache.spark:spark-avro_2.11:2.4.0 
> /nke/reformat.py
> {code}
> code in reformat.py
> {code:java}
> df = spark.read.option("multiline", "true").json("file:///nke/example1.json")
> df.createOrReplaceTempView("traffic")
> a = spark.sql("""SELECT store.*, store.name as store_name, 
> store.dataSupplierId as store_dataSupplierId, trafficSensor.*,
> trafficSensor.name as trafficSensor_name, trafficSensor.dataSupplierId as 
> trafficSensor_dataSupplierId, readings.*
> FROM (SELECT explode(stores) as store, explode(store.trafficSensors) as 
> trafficSensor,
> explode(trafficSensor.trafficSensorReadings) as readings FROM

[jira] [Commented] (SPARK-26675) Error happened during creating avro files

2019-01-27 Thread Hyukjin Kwon (JIRA) 


[ 
https://issues.apache.org/jira/browse/SPARK-26675?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16753354#comment-16753354
 ] 

Hyukjin Kwon commented on SPARK-26675:
--

Also, please make the code as minimised as possible.

> Error happened during creating avro files
> -
>
> Key: SPARK-26675
> URL: https://issues.apache.org/jira/browse/SPARK-26675
> Project: Spark
>  Issue Type: Bug
>  Components: PySpark, SQL
>Affects Versions: 2.4.0
>Reporter: Tony Mao
>Priority: Major
>
> Run cmd
> {code:java}
> spark-submit --packages org.apache.spark:spark-avro_2.11:2.4.0 
> /nke/reformat.py
> {code}
> code in reformat.py
> {code:java}
> df = spark.read.option("multiline", "true").json("file:///nke/example1.json")
> df.createOrReplaceTempView("traffic")
> a = spark.sql("""SELECT store.*, store.name as store_name, 
> store.dataSupplierId as store_dataSupplierId, trafficSensor.*,
> trafficSensor.name as trafficSensor_name, trafficSensor.dataSupplierId as 
> trafficSensor_dataSupplierId, readings.*
> FROM (SELECT explode(stores) as store, explode(store.trafficSensors) as 
> trafficSensor,
> explode(trafficSensor.trafficSensorReadings) as readings FROM traffic)""")
> b = a.drop("trafficSensors", "trafficSensorReadings", "name", 
> "dataSupplierId")
> b.write.format("avro").save("file:///nke/curated/namesAndFavColors.avro")
> {code}
> Error message:
> {code:java}
> Traceback (most recent call last):
> File "/nke/reformat.py", line 18, in 
> b.select("store_name", 
> "store_dataSupplierId").write.format("avro").save("file:///nke/curated/namesAndFavColors.avro")
> File "/usr/spark-2.4.0/python/lib/pyspark.zip/pyspark/sql/readwriter.py", 
> line 736, in save
> File "/usr/spark-2.4.0/python/lib/py4j-0.10.7-src.zip/py4j/java_gateway.py", 
> line 1257, in __call__
> File "/usr/spark-2.4.0/python/lib/pyspark.zip/pyspark/sql/utils.py", line 63, 
> in deco
> File "/usr/spark-2.4.0/python/lib/py4j-0.10.7-src.zip/py4j/protocol.py", line 
> 328, in get_return_value
> py4j.protocol.Py4JJavaError: An error occurred while calling o45.save.
> : java.lang.NoSuchMethodError: 
> org.apache.avro.Schema.createUnion([Lorg/apache/avro/Schema;)Lorg/apache/avro/Schema;
> at 
> org.apache.spark.sql.avro.SchemaConverters$.toAvroType(SchemaConverters.scala:185)
> at 
> org.apache.spark.sql.avro.SchemaConverters$$anonfun$5.apply(SchemaConverters.scala:176)
> at 
> org.apache.spark.sql.avro.SchemaConverters$$anonfun$5.apply(SchemaConverters.scala:174)
> at scala.collection.Iterator$class.foreach(Iterator.scala:891)
> at scala.collection.AbstractIterator.foreach(Iterator.scala:1334)
> at scala.collection.IterableLike$class.foreach(IterableLike.scala:72)
> at org.apache.spark.sql.types.StructType.foreach(StructType.scala:99)
> at 
> org.apache.spark.sql.avro.SchemaConverters$.toAvroType(SchemaConverters.scala:174)
> at 
> org.apache.spark.sql.avro.AvroFileFormat$$anonfun$7.apply(AvroFileFormat.scala:118)
> at 
> org.apache.spark.sql.avro.AvroFileFormat$$anonfun$7.apply(AvroFileFormat.scala:118)
> at scala.Option.getOrElse(Option.scala:121)
> at 
> org.apache.spark.sql.avro.AvroFileFormat.prepareWrite(AvroFileFormat.scala:118)
> at 
> org.apache.spark.sql.execution.datasources.FileFormatWriter$.write(FileFormatWriter.scala:103)
> at 
> org.apache.spark.sql.execution.datasources.InsertIntoHadoopFsRelationCommand.run(InsertIntoHadoopFsRelationCommand.scala:159)
> at 
> org.apache.spark.sql.execution.command.DataWritingCommandExec.sideEffectResult$lzycompute(commands.scala:104)
> at 
> org.apache.spark.sql.execution.command.DataWritingCommandExec.sideEffectResult(commands.scala:102)
> at 
> org.apache.spark.sql.execution.command.DataWritingCommandExec.doExecute(commands.scala:122)
> at 
> org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$1.apply(SparkPlan.scala:131)
> at 
> org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$1.apply(SparkPlan.scala:127)
> at 
> org.apache.spark.sql.execution.SparkPlan$$anonfun$executeQuery$1.apply(SparkPlan.scala:155)
> at 
> org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
> at org.apache.spark.sql.execution.SparkPlan.executeQuery(SparkPlan.scala:152)
> at org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:127)
> at 
> org.apache.spark.sql.execution.QueryExecution.toRdd$lzycompute(QueryExecution.scala:80)
> at 
> org.apache.spark.sql.execution.QueryExecution.toRdd(QueryExecution.scala:80)
> at 
> org.apache.spark.sql.DataFrameWriter$$anonfun$runCommand$1.apply(DataFrameWriter.scala:668)
> at 
> org.apache.spark.sql.DataFrameWriter$$anonfun$runCommand$1.apply(DataFrameWriter.scala:668)
> at 
> org.apache.spark.sql.execution.SQLExecution$$anonfun$withNewExecutionId$1.apply(SQLExecution.scala:78)
> at 
>

[jira] [Commented] (SPARK-26675) Error happened during creating avro files

2019-01-27 Thread Gengliang Wang (JIRA) 


[ 
https://issues.apache.org/jira/browse/SPARK-26675?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16753326#comment-16753326
 ] 

Gengliang Wang commented on SPARK-26675:


[~tony0918] Can you provide a sample input file? 

> Error happened during creating avro files
> -
>
> Key: SPARK-26675
> URL: https://issues.apache.org/jira/browse/SPARK-26675
> Project: Spark
>  Issue Type: Bug
>  Components: PySpark
>Affects Versions: 2.4.0
>Reporter: Tony Mao
>Priority: Major
>
> Run cmd
> {code:java}
> spark-submit --packages org.apache.spark:spark-avro_2.11:2.4.0 
> /nke/reformat.py
> {code}
> code in reformat.py
> {code:java}
> df = spark.read.option("multiline", "true").json("file:///nke/example1.json")
> df.createOrReplaceTempView("traffic")
> a = spark.sql("""SELECT store.*, store.name as store_name, 
> store.dataSupplierId as store_dataSupplierId, trafficSensor.*,
> trafficSensor.name as trafficSensor_name, trafficSensor.dataSupplierId as 
> trafficSensor_dataSupplierId, readings.*
> FROM (SELECT explode(stores) as store, explode(store.trafficSensors) as 
> trafficSensor,
> explode(trafficSensor.trafficSensorReadings) as readings FROM traffic)""")
> b = a.drop("trafficSensors", "trafficSensorReadings", "name", 
> "dataSupplierId")
> b.write.format("avro").save("file:///nke/curated/namesAndFavColors.avro")
> {code}
> Error message:
> {code:java}
> Traceback (most recent call last):
> File "/nke/reformat.py", line 18, in 
> b.select("store_name", 
> "store_dataSupplierId").write.format("avro").save("file:///nke/curated/namesAndFavColors.avro")
> File "/usr/spark-2.4.0/python/lib/pyspark.zip/pyspark/sql/readwriter.py", 
> line 736, in save
> File "/usr/spark-2.4.0/python/lib/py4j-0.10.7-src.zip/py4j/java_gateway.py", 
> line 1257, in __call__
> File "/usr/spark-2.4.0/python/lib/pyspark.zip/pyspark/sql/utils.py", line 63, 
> in deco
> File "/usr/spark-2.4.0/python/lib/py4j-0.10.7-src.zip/py4j/protocol.py", line 
> 328, in get_return_value
> py4j.protocol.Py4JJavaError: An error occurred while calling o45.save.
> : java.lang.NoSuchMethodError: 
> org.apache.avro.Schema.createUnion([Lorg/apache/avro/Schema;)Lorg/apache/avro/Schema;
> at 
> org.apache.spark.sql.avro.SchemaConverters$.toAvroType(SchemaConverters.scala:185)
> at 
> org.apache.spark.sql.avro.SchemaConverters$$anonfun$5.apply(SchemaConverters.scala:176)
> at 
> org.apache.spark.sql.avro.SchemaConverters$$anonfun$5.apply(SchemaConverters.scala:174)
> at scala.collection.Iterator$class.foreach(Iterator.scala:891)
> at scala.collection.AbstractIterator.foreach(Iterator.scala:1334)
> at scala.collection.IterableLike$class.foreach(IterableLike.scala:72)
> at org.apache.spark.sql.types.StructType.foreach(StructType.scala:99)
> at 
> org.apache.spark.sql.avro.SchemaConverters$.toAvroType(SchemaConverters.scala:174)
> at 
> org.apache.spark.sql.avro.AvroFileFormat$$anonfun$7.apply(AvroFileFormat.scala:118)
> at 
> org.apache.spark.sql.avro.AvroFileFormat$$anonfun$7.apply(AvroFileFormat.scala:118)
> at scala.Option.getOrElse(Option.scala:121)
> at 
> org.apache.spark.sql.avro.AvroFileFormat.prepareWrite(AvroFileFormat.scala:118)
> at 
> org.apache.spark.sql.execution.datasources.FileFormatWriter$.write(FileFormatWriter.scala:103)
> at 
> org.apache.spark.sql.execution.datasources.InsertIntoHadoopFsRelationCommand.run(InsertIntoHadoopFsRelationCommand.scala:159)
> at 
> org.apache.spark.sql.execution.command.DataWritingCommandExec.sideEffectResult$lzycompute(commands.scala:104)
> at 
> org.apache.spark.sql.execution.command.DataWritingCommandExec.sideEffectResult(commands.scala:102)
> at 
> org.apache.spark.sql.execution.command.DataWritingCommandExec.doExecute(commands.scala:122)
> at 
> org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$1.apply(SparkPlan.scala:131)
> at 
> org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$1.apply(SparkPlan.scala:127)
> at 
> org.apache.spark.sql.execution.SparkPlan$$anonfun$executeQuery$1.apply(SparkPlan.scala:155)
> at 
> org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
> at org.apache.spark.sql.execution.SparkPlan.executeQuery(SparkPlan.scala:152)
> at org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:127)
> at 
> org.apache.spark.sql.execution.QueryExecution.toRdd$lzycompute(QueryExecution.scala:80)
> at 
> org.apache.spark.sql.execution.QueryExecution.toRdd(QueryExecution.scala:80)
> at 
> org.apache.spark.sql.DataFrameWriter$$anonfun$runCommand$1.apply(DataFrameWriter.scala:668)
> at 
> org.apache.spark.sql.DataFrameWriter$$anonfun$runCommand$1.apply(DataFrameWriter.scala:668)
> at 
> org.apache.spark.sql.execution.SQLExecution$$anonfun$withNewExecutionId$1.apply(SQLExecution.scala:78)
> at 
>

[jira] [Commented] (SPARK-26675) Error happened during creating avro files

2019-01-26 Thread Dongjoon Hyun (JIRA) 


[ 
https://issues.apache.org/jira/browse/SPARK-26675?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16753213#comment-16753213
 ] 

Dongjoon Hyun commented on SPARK-26675:
---

[~tony0918]. Do you have a problem in Spark Scala Shell environment, too?

> Error happened during creating avro files
> -
>
> Key: SPARK-26675
> URL: https://issues.apache.org/jira/browse/SPARK-26675
> Project: Spark
>  Issue Type: Bug
>  Components: PySpark
>Affects Versions: 2.4.0
>Reporter: Tony Mao
>Priority: Major
>
> Run cmd
> {code:java}
> spark-submit --packages org.apache.spark:spark-avro_2.11:2.4.0 
> /nke/reformat.py
> {code}
> code in reformat.py
> {code:java}
> df = spark.read.option("multiline", "true").json("file:///nke/example1.json")
> df.createOrReplaceTempView("traffic")
> a = spark.sql("""SELECT store.*, store.name as store_name, 
> store.dataSupplierId as store_dataSupplierId, trafficSensor.*,
> trafficSensor.name as trafficSensor_name, trafficSensor.dataSupplierId as 
> trafficSensor_dataSupplierId, readings.*
> FROM (SELECT explode(stores) as store, explode(store.trafficSensors) as 
> trafficSensor,
> explode(trafficSensor.trafficSensorReadings) as readings FROM traffic)""")
> b = a.drop("trafficSensors", "trafficSensorReadings", "name", 
> "dataSupplierId")
> b.write.format("avro").save("file:///nke/curated/namesAndFavColors.avro")
> {code}
> Error message:
> {code:java}
> Traceback (most recent call last):
> File "/nke/reformat.py", line 18, in 
> b.select("store_name", 
> "store_dataSupplierId").write.format("avro").save("file:///nke/curated/namesAndFavColors.avro")
> File "/usr/spark-2.4.0/python/lib/pyspark.zip/pyspark/sql/readwriter.py", 
> line 736, in save
> File "/usr/spark-2.4.0/python/lib/py4j-0.10.7-src.zip/py4j/java_gateway.py", 
> line 1257, in __call__
> File "/usr/spark-2.4.0/python/lib/pyspark.zip/pyspark/sql/utils.py", line 63, 
> in deco
> File "/usr/spark-2.4.0/python/lib/py4j-0.10.7-src.zip/py4j/protocol.py", line 
> 328, in get_return_value
> py4j.protocol.Py4JJavaError: An error occurred while calling o45.save.
> : java.lang.NoSuchMethodError: 
> org.apache.avro.Schema.createUnion([Lorg/apache/avro/Schema;)Lorg/apache/avro/Schema;
> at 
> org.apache.spark.sql.avro.SchemaConverters$.toAvroType(SchemaConverters.scala:185)
> at 
> org.apache.spark.sql.avro.SchemaConverters$$anonfun$5.apply(SchemaConverters.scala:176)
> at 
> org.apache.spark.sql.avro.SchemaConverters$$anonfun$5.apply(SchemaConverters.scala:174)
> at scala.collection.Iterator$class.foreach(Iterator.scala:891)
> at scala.collection.AbstractIterator.foreach(Iterator.scala:1334)
> at scala.collection.IterableLike$class.foreach(IterableLike.scala:72)
> at org.apache.spark.sql.types.StructType.foreach(StructType.scala:99)
> at 
> org.apache.spark.sql.avro.SchemaConverters$.toAvroType(SchemaConverters.scala:174)
> at 
> org.apache.spark.sql.avro.AvroFileFormat$$anonfun$7.apply(AvroFileFormat.scala:118)
> at 
> org.apache.spark.sql.avro.AvroFileFormat$$anonfun$7.apply(AvroFileFormat.scala:118)
> at scala.Option.getOrElse(Option.scala:121)
> at 
> org.apache.spark.sql.avro.AvroFileFormat.prepareWrite(AvroFileFormat.scala:118)
> at 
> org.apache.spark.sql.execution.datasources.FileFormatWriter$.write(FileFormatWriter.scala:103)
> at 
> org.apache.spark.sql.execution.datasources.InsertIntoHadoopFsRelationCommand.run(InsertIntoHadoopFsRelationCommand.scala:159)
> at 
> org.apache.spark.sql.execution.command.DataWritingCommandExec.sideEffectResult$lzycompute(commands.scala:104)
> at 
> org.apache.spark.sql.execution.command.DataWritingCommandExec.sideEffectResult(commands.scala:102)
> at 
> org.apache.spark.sql.execution.command.DataWritingCommandExec.doExecute(commands.scala:122)
> at 
> org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$1.apply(SparkPlan.scala:131)
> at 
> org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$1.apply(SparkPlan.scala:127)
> at 
> org.apache.spark.sql.execution.SparkPlan$$anonfun$executeQuery$1.apply(SparkPlan.scala:155)
> at 
> org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
> at org.apache.spark.sql.execution.SparkPlan.executeQuery(SparkPlan.scala:152)
> at org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:127)
> at 
> org.apache.spark.sql.execution.QueryExecution.toRdd$lzycompute(QueryExecution.scala:80)
> at 
> org.apache.spark.sql.execution.QueryExecution.toRdd(QueryExecution.scala:80)
> at 
> org.apache.spark.sql.DataFrameWriter$$anonfun$runCommand$1.apply(DataFrameWriter.scala:668)
> at 
> org.apache.spark.sql.DataFrameWriter$$anonfun$runCommand$1.apply(DataFrameWriter.scala:668)
> at 
> org.apache.spark.sql.execution.SQLExecution$$anonfun$withNewExecutionId$1.apply(SQLExecution.scala:78)
> at 
>

[jira] [Commented] (SPARK-26675) Error happened during creating avro files

2019-01-26 Thread Dongjoon Hyun (JIRA) 


[ 
https://issues.apache.org/jira/browse/SPARK-26675?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16753211#comment-16753211
 ] 

Dongjoon Hyun commented on SPARK-26675:
---

cc [~Gengliang.Wang]

> Error happened during creating avro files
> -
>
> Key: SPARK-26675
> URL: https://issues.apache.org/jira/browse/SPARK-26675
> Project: Spark
>  Issue Type: Bug
>  Components: PySpark
>Affects Versions: 2.4.0
>Reporter: Tony Mao
>Priority: Major
>
> Run cmd
> {code:java}
> spark-submit --packages org.apache.spark:spark-avro_2.11:2.4.0 
> /nke/reformat.py
> {code}
> code in reformat.py
> {code:java}
> df = spark.read.option("multiline", "true").json("file:///nke/example1.json")
> df.createOrReplaceTempView("traffic")
> a = spark.sql("""SELECT store.*, store.name as store_name, 
> store.dataSupplierId as store_dataSupplierId, trafficSensor.*,
> trafficSensor.name as trafficSensor_name, trafficSensor.dataSupplierId as 
> trafficSensor_dataSupplierId, readings.*
> FROM (SELECT explode(stores) as store, explode(store.trafficSensors) as 
> trafficSensor,
> explode(trafficSensor.trafficSensorReadings) as readings FROM traffic)""")
> b = a.drop("trafficSensors", "trafficSensorReadings", "name", 
> "dataSupplierId")
> b.write.format("avro").save("file:///nke/curated/namesAndFavColors.avro")
> {code}
> Error message:
> {code:java}
> Traceback (most recent call last):
> File "/nke/reformat.py", line 18, in 
> b.select("store_name", 
> "store_dataSupplierId").write.format("avro").save("file:///nke/curated/namesAndFavColors.avro")
> File "/usr/spark-2.4.0/python/lib/pyspark.zip/pyspark/sql/readwriter.py", 
> line 736, in save
> File "/usr/spark-2.4.0/python/lib/py4j-0.10.7-src.zip/py4j/java_gateway.py", 
> line 1257, in __call__
> File "/usr/spark-2.4.0/python/lib/pyspark.zip/pyspark/sql/utils.py", line 63, 
> in deco
> File "/usr/spark-2.4.0/python/lib/py4j-0.10.7-src.zip/py4j/protocol.py", line 
> 328, in get_return_value
> py4j.protocol.Py4JJavaError: An error occurred while calling o45.save.
> : java.lang.NoSuchMethodError: 
> org.apache.avro.Schema.createUnion([Lorg/apache/avro/Schema;)Lorg/apache/avro/Schema;
> at 
> org.apache.spark.sql.avro.SchemaConverters$.toAvroType(SchemaConverters.scala:185)
> at 
> org.apache.spark.sql.avro.SchemaConverters$$anonfun$5.apply(SchemaConverters.scala:176)
> at 
> org.apache.spark.sql.avro.SchemaConverters$$anonfun$5.apply(SchemaConverters.scala:174)
> at scala.collection.Iterator$class.foreach(Iterator.scala:891)
> at scala.collection.AbstractIterator.foreach(Iterator.scala:1334)
> at scala.collection.IterableLike$class.foreach(IterableLike.scala:72)
> at org.apache.spark.sql.types.StructType.foreach(StructType.scala:99)
> at 
> org.apache.spark.sql.avro.SchemaConverters$.toAvroType(SchemaConverters.scala:174)
> at 
> org.apache.spark.sql.avro.AvroFileFormat$$anonfun$7.apply(AvroFileFormat.scala:118)
> at 
> org.apache.spark.sql.avro.AvroFileFormat$$anonfun$7.apply(AvroFileFormat.scala:118)
> at scala.Option.getOrElse(Option.scala:121)
> at 
> org.apache.spark.sql.avro.AvroFileFormat.prepareWrite(AvroFileFormat.scala:118)
> at 
> org.apache.spark.sql.execution.datasources.FileFormatWriter$.write(FileFormatWriter.scala:103)
> at 
> org.apache.spark.sql.execution.datasources.InsertIntoHadoopFsRelationCommand.run(InsertIntoHadoopFsRelationCommand.scala:159)
> at 
> org.apache.spark.sql.execution.command.DataWritingCommandExec.sideEffectResult$lzycompute(commands.scala:104)
> at 
> org.apache.spark.sql.execution.command.DataWritingCommandExec.sideEffectResult(commands.scala:102)
> at 
> org.apache.spark.sql.execution.command.DataWritingCommandExec.doExecute(commands.scala:122)
> at 
> org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$1.apply(SparkPlan.scala:131)
> at 
> org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$1.apply(SparkPlan.scala:127)
> at 
> org.apache.spark.sql.execution.SparkPlan$$anonfun$executeQuery$1.apply(SparkPlan.scala:155)
> at 
> org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
> at org.apache.spark.sql.execution.SparkPlan.executeQuery(SparkPlan.scala:152)
> at org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:127)
> at 
> org.apache.spark.sql.execution.QueryExecution.toRdd$lzycompute(QueryExecution.scala:80)
> at 
> org.apache.spark.sql.execution.QueryExecution.toRdd(QueryExecution.scala:80)
> at 
> org.apache.spark.sql.DataFrameWriter$$anonfun$runCommand$1.apply(DataFrameWriter.scala:668)
> at 
> org.apache.spark.sql.DataFrameWriter$$anonfun$runCommand$1.apply(DataFrameWriter.scala:668)
> at 
> org.apache.spark.sql.execution.SQLExecution$$anonfun$withNewExecutionId$1.apply(SQLExecution.scala:78)
> at 
> org.apache.spark.sql.execution.SQLExecution$.withSQLConfPropagated(SQLExecution.scala:125)
> at 
>