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Caused by: org.jets3t.service.impl.rest.HttpException: 400 Bad Request--> py4j.protocol.Py4JJavaError: An error occurred while calling o42.save. : org.apache.spark.sql.catalyst.errors.package$TreeNodeException: execute, tree: #450

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kmrabhay opened this issue Dec 29, 2019 · 0 comments
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Caused by: org.jets3t.service.impl.rest.HttpException: 400 Bad Request--> py4j.protocol.Py4JJavaError: An error occurred while calling o42.save. : org.apache.spark.sql.catalyst.errors.package$TreeNodeException: execute, tree: #450

kmrabhay opened this issue Dec 29, 2019 · 0 comments

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@kmrabhay
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kmrabhay commented Dec 29, 2019 •
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Hi, I can read redshift data into spark dataframe using databricks data source below.

from pyspark.sql import SQLContext
from pyspark import SparkConf,  SparkContext

sc = SparkContext(conf=SparkConf().setAppName("MyApp").setMaster("local"))


hadoop_conf=sc._jsc.hadoopConfiguration()
hadoop_conf.set("fs.s3n.impl", "org.apache.hadoop.fs.s3native.NativeS3FileSystem")
hadoop_conf.set("fs.s3n.awsAccessKeyId", "XXXXXXXXXXXXXXXXXX")
hadoop_conf.set("fs.s3n.awsSecretAccessKey", "oZTJs3aNFXXXXXXXXXXXXXXXXX/BL1DTY")

spark_df = sql_context.read \
    .format("com.databricks.spark.redshift") \
    .option("url", "jdbc:redshift://rxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx") \
    .option("dbtable", "public.events_20190310") \
    .option("tempdir", "s3n://big-query-to-rs/rs_temp_data") \
    .load()

But when I am trying to insert first 1000 entry of dataframe into same table using code below it give the error as shown in the stack trace.

#print("-----------------------df count : ", df.count())
first_1000_df =  spark_df.limit(100)
print("Type is -----------------", type(first_1000_df))
print("---First hunderead ----", first_1000_df)
print("---First hunderead  count----", first_1000_df.count())


#for row in first_1000_df.rdd.collect():
#    print(row)

# Write back to a table
first_1000_df.write \
  .format("com.databricks.spark.redshift") \
  .option("url", "jdbc:redshift://xxxxxxxxxxxxxxxxxxxxxxxxx") \
  .option("dbtable", "public.events_20190310") \
  .option("tempdir", "s3n://big-query-to-rs/rs_temp_data") \
  .mode("overwrite") \
  .save()

This is the error I am getting while writing loaded databack to redshift. I tried all four mode(append, ignore,overwrite..etc) with no luck.
I am stuck here since long. Any leads highly appreciated. Thanks

Traceback (most recent call last):
  File "/home/ubuntu/trell-ds-framework/data_engineering/data_migration/t1.py", line 49, in <module>
    .mode("overwrite") \
  File "/home/ubuntu/spark-2.3.0-bin-hadoop2.7/python/lib/pyspark.zip/pyspark/sql/readwriter.py", line 701, in save
  File "/home/ubuntu/spark-2.3.0-bin-hadoop2.7/python/lib/py4j-0.10.6-src.zip/py4j/java_gateway.py", line 1160, in __call__
  File "/home/ubuntu/spark-2.3.0-bin-hadoop2.7/python/lib/pyspark.zip/pyspark/sql/utils.py", line 63, in deco
  File "/home/ubuntu/spark-2.3.0-bin-hadoop2.7/python/lib/py4j-0.10.6-src.zip/py4j/protocol.py", line 320, in get_return_value
py4j.protocol.Py4JJavaError: An error occurred while calling o42.save.
: org.apache.spark.sql.catalyst.errors.package$TreeNodeException: execute, tree:
Exchange SinglePartition
+- *(1) LocalLimit 100
   +- *(1) Scan RedshiftRelation("public"."events_20190310") [event_date#0,event_timestamp#1L,event_name#2,event_params#3,user_id#4,event_previous_timestamp#5L,event_bundle_sequence_id#6L,user_pseudo_id#7,user_properties#8,user_first_touch_timestamp#9L,event_server_timestamp_offset#10L,device#11,geo#12,app_info#13,traffic_source#14,stream_id#15,platform#16] PushedFilters: [], ReadSchema: struct<event_date:string,event_timestamp:bigint,event_name:string,event_params:string,user_id:str...

	at org.apache.spark.sql.catalyst.errors.package$.attachTree(package.scala:56)
	at org.apache.spark.sql.execution.exchange.ShuffleExchangeExec.doExecute(ShuffleExchangeExec.scala:119)
	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$$anonfun$executeQuery$1.apply(SparkPlan.scala:155)
	at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
	at org.apache.spark.sql.execution.SparkPlan.executeQuery(SparkPlan.scala:152)
	at org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:127)
	at org.apache.spark.sql.execution.InputAdapter.inputRDDs(WholeStageCodegenExec.scala:371)
	at org.apache.spark.sql.execution.BaseLimitExec$class.inputRDDs(limit.scala:62)
	at org.apache.spark.sql.execution.GlobalLimitExec.inputRDDs(limit.scala:107)
	at org.apache.spark.sql.execution.WholeStageCodegenExec.doExecute(WholeStageCodegenExec.scala:605)
	at org.apache.spark.sql.execution.SparkPlan$$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.DeserializeToObjectExec.doExecute(objects.scala:89)
	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$$anonfun$executeQuery$1.apply(SparkPlan.scala:155)
	at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
	at org.apache.spark.sql.execution.SparkPlan.executeQuery(SparkPlan.scala:152)
	at org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:127)
	at org.apache.spark.sql.execution.QueryExecution.toRdd$lzycompute(QueryExecution.scala:80)
	at org.apache.spark.sql.execution.QueryExecution.toRdd(QueryExecution.scala:80)
	at org.apache.spark.sql.Dataset.rdd$lzycompute(Dataset.scala:2975)
	at org.apache.spark.sql.Dataset.rdd(Dataset.scala:2973)
	at com.databricks.spark.redshift.RedshiftWriter.unloadData(RedshiftWriter.scala:237)
	at com.databricks.spark.redshift.RedshiftWriter.saveToRedshift(RedshiftWriter.scala:346)
	at com.databricks.spark.redshift.DefaultSource.createRelation(DefaultSource.scala:106)
	at org.apache.spark.sql.execution.datasources.SaveIntoDataSourceCommand.run(SaveIntoDataSourceCommand.scala:46)
	at org.apache.spark.sql.execution.command.ExecutedCommandExec.sideEffectResult$lzycompute(commands.scala:70)
	at org.apache.spark.sql.execution.command.ExecutedCommandExec.sideEffectResult(commands.scala:68)
	at org.apache.spark.sql.execution.command.ExecutedCommandExec.doExecute(commands.scala:86)
	at org.apache.spark.sql.execution.SparkPlan$$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$$anonfun$runCommand$1.apply(DataFrameWriter.scala:654)
	at org.apache.spark.sql.DataFrameWriter$$anonfun$runCommand$1.apply(DataFrameWriter.scala:654)
	at org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:77)
	at org.apache.spark.sql.DataFrameWriter.runCommand(DataFrameWriter.scala:654)
	at org.apache.spark.sql.DataFrameWriter.saveToV1Source(DataFrameWriter.scala:273)
	at org.apache.spark.sql.DataFrameWriter.save(DataFrameWriter.scala:267)
	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 py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:244)
	at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:357)
	at py4j.Gateway.invoke(Gateway.java:282)
	at py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:132)
	at py4j.commands.CallCommand.execute(CallCommand.java:79)
	at py4j.GatewayConnection.run(GatewayConnection.java:214)
	at java.lang.Thread.run(Thread.java:748)
Caused by: java.io.IOException: s3n://big-query-to-rs : 400 : Bad Request
	at org.apache.hadoop.fs.s3native.Jets3tNativeFileSystemStore.processException(Jets3tNativeFileSystemStore.java:453)
	at org.apache.hadoop.fs.s3native.Jets3tNativeFileSystemStore.processException(Jets3tNativeFileSystemStore.java:427)
	at org.apache.hadoop.fs.s3native.Jets3tNativeFileSystemStore.handleException(Jets3tNativeFileSystemStore.java:411)
	at org.apache.hadoop.fs.s3native.Jets3tNativeFileSystemStore.retrieveMetadata(Jets3tNativeFileSystemStore.java:181)
	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.hadoop.io.retry.RetryInvocationHandler.invokeMethod(RetryInvocationHandler.java:191)
	at org.apache.hadoop.io.retry.RetryInvocationHandler.invoke(RetryInvocationHandler.java:102)
	at org.apache.hadoop.fs.s3native.$Proxy12.retrieveMetadata(Unknown Source)
	at org.apache.hadoop.fs.s3native.NativeS3FileSystem.getFileStatus(NativeS3FileSystem.java:476)
	at org.apache.hadoop.fs.Globber.getFileStatus(Globber.java:57)
	at org.apache.hadoop.fs.Globber.glob(Globber.java:252)
	at org.apache.hadoop.fs.FileSystem.globStatus(FileSystem.java:1676)
	at org.apache.hadoop.mapreduce.lib.input.FileInputFormat.singleThreadedListStatus(FileInputFormat.java:294)
	at org.apache.hadoop.mapreduce.lib.input.FileInputFormat.listStatus(FileInputFormat.java:265)
	at org.apache.hadoop.mapreduce.lib.input.FileInputFormat.getSplits(FileInputFormat.java:387)
	at org.apache.spark.rdd.NewHadoopRDD.getPartitions(NewHadoopRDD.scala:127)
	at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:253)
	at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:251)
	at scala.Option.getOrElse(Option.scala:121)
	at org.apache.spark.rdd.RDD.partitions(RDD.scala:251)
	at org.apache.spark.rdd.UnionRDD$$anonfun$1.apply(UnionRDD.scala:84)
	at org.apache.spark.rdd.UnionRDD$$anonfun$1.apply(UnionRDD.scala:84)
	at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234)
	at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234)
	at scala.collection.IndexedSeqOptimized$class.foreach(IndexedSeqOptimized.scala:33)
	at scala.collection.mutable.WrappedArray.foreach(WrappedArray.scala:35)
	at scala.collection.TraversableLike$class.map(TraversableLike.scala:234)
	at scala.collection.AbstractTraversable.map(Traversable.scala:104)
	at org.apache.spark.rdd.UnionRDD.getPartitions(UnionRDD.scala:84)
	at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:253)
	at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:251)
	at scala.Option.getOrElse(Option.scala:121)
	at org.apache.spark.rdd.RDD.partitions(RDD.scala:251)
	at org.apache.spark.rdd.MapPartitionsRDD.getPartitions(MapPartitionsRDD.scala:35)
	at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:253)
	at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:251)
	at scala.Option.getOrElse(Option.scala:121)
	at org.apache.spark.rdd.RDD.partitions(RDD.scala:251)
	at org.apache.spark.rdd.MapPartitionsRDD.getPartitions(MapPartitionsRDD.scala:35)
	at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:253)
	at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:251)
	at scala.Option.getOrElse(Option.scala:121)
	at org.apache.spark.rdd.RDD.partitions(RDD.scala:251)
	at org.apache.spark.rdd.MapPartitionsRDD.getPartitions(MapPartitionsRDD.scala:35)
	at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:253)
	at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:251)
	at scala.Option.getOrElse(Option.scala:121)
	at org.apache.spark.rdd.RDD.partitions(RDD.scala:251)
	at org.apache.spark.rdd.MapPartitionsRDD.getPartitions(MapPartitionsRDD.scala:35)
	at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:253)
	at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:251)
	at scala.Option.getOrElse(Option.scala:121)
	at org.apache.spark.rdd.RDD.partitions(RDD.scala:251)
	at org.apache.spark.rdd.MapPartitionsRDD.getPartitions(MapPartitionsRDD.scala:35)
	at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:253)
	at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:251)
	at scala.Option.getOrElse(Option.scala:121)
	at org.apache.spark.rdd.RDD.partitions(RDD.scala:251)
	at org.apache.spark.ShuffleDependency.<init>(Dependency.scala:91)
	at org.apache.spark.sql.execution.exchange.ShuffleExchangeExec$.prepareShuffleDependency(ShuffleExchangeExec.scala:319)
	at org.apache.spark.sql.execution.exchange.ShuffleExchangeExec.prepareShuffleDependency(ShuffleExchangeExec.scala:91)
	at org.apache.spark.sql.execution.exchange.ShuffleExchangeExec$$anonfun$doExecute$1.apply(ShuffleExchangeExec.scala:128)
	at org.apache.spark.sql.execution.exchange.ShuffleExchangeExec$$anonfun$doExecute$1.apply(ShuffleExchangeExec.scala:119)
	at org.apache.spark.sql.catalyst.errors.package$.attachTree(package.scala:52)
	... 60 more
Caused by: org.jets3t.service.impl.rest.HttpException: 400 Bad Request
	at org.jets3t.service.impl.rest.httpclient.RestStorageService.performRequest(RestStorageService.java:425)
	at org.jets3t.service.impl.rest.httpclient.RestStorageService.performRequest(RestStorageService.java:279)
	at org.jets3t.service.impl.rest.httpclient.RestStorageService.performRestHead(RestStorageService.java:1052)
	at org.jets3t.service.impl.rest.httpclient.RestStorageService.getObjectImpl(RestStorageService.java:2264)
	at org.jets3t.service.impl.rest.httpclient.RestStorageService.getObjectDetailsImpl(RestStorageService.java:2193)
	at org.jets3t.service.StorageService.getObjectDetails(StorageService.java:1120)
	at org.jets3t.service.StorageService.getObjectDetails(StorageService.java:575)
	at org.apache.hadoop.fs.s3native.Jets3tNativeFileSystemStore.retrieveMetadata(Jets3tNativeFileSystemStore.java:174)
	... 123 more

2019-12-29 18:50:14 INFO  SparkContext:54 - Invoking stop() from shutdown hook
2019-12-29 18:50:14 INFO  AbstractConnector:318 - Stopped Spark@48e9ef99{HTTP/1.1,[http/1.1]}{0.0.0.0:4041}
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@kmrabhay