When running in Yarn mode, I get a NPE, same code works in local mode
`context.index.create.indexBy('driverId', 'timestamp').parquet('s3://archival-store/test/bench1day7/gps/packet_date=2018-03-25/')

Traceback (most recent call last):
File "", line 1, in
File "/home/anshuls/parquet-index/python/src/lightcopy/index.py", line 122, in parquet
self._createIndex(path)
File "/home/anshuls/parquet-index/python/src/lightcopy/index.py", line 103, in _createIndex
jcreate.createIndex(path)
File "/usr/local/spark/latest/python/lib/py4j-0.10.4-src.zip/py4j/java_gateway.py", line 1133, in call
File "/usr/local/spark/latest/python/pyspark/sql/utils.py", line 63, in deco
return f(*a, **kw)
File "/usr/local/spark/latest/python/lib/py4j-0.10.4-src.zip/py4j/protocol.py", line 319, in get_return_value
py4j.protocol.Py4JJavaError: An error occurred while calling o62.createIndex.
: org.apache.spark.SparkException: Job aborted due to stage failure: Task 36 in stage 1.0 failed 4 times, most recent failure: Lost task 36.3 in stage 1.0 (TID 116, ip-172-18-54-234.us-west-2.compute.internal, executor 1): java.lang.NullPointerException
at org.apache.hadoop.fs.FileSystem.getDefaultUri(FileSystem.java:232)
at org.apache.hadoop.fs.FileSystem.get(FileSystem.java:223)
at org.apache.spark.sql.execution.datasources.parquet.ParquetStatisticsRDD.compute(ParquetStatisticsRDD.scala:122)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:323)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:287)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:87)
at org.apache.spark.scheduler.Task.run(Task.scala:108)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:335)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)

Driver stacktrace:
at org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1499)
at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1487)
at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1486)
at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:48)
at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1486)
at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:814)
at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:814)
at scala.Option.foreach(Option.scala:257)
at org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:814)
at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:1714)
at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1669)
at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1658)
at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:48)
at org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:630)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:2022)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:2043)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:2062)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:2087)
at org.apache.spark.rdd.RDD$$anonfun$collect$1.apply(RDD.scala:936)
at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:112)
at org.apache.spark.rdd.RDD.withScope(RDD.scala:362)
at org.apache.spark.rdd.RDD.collect(RDD.scala:935)
at org.apache.spark.sql.execution.datasources.parquet.ParquetMetastoreSupport.createIndex(ParquetMetastoreSupport.scala:140)
at org.apache.spark.sql.execution.datasources.IndexedDataSource$$anonfun$createIndex$2.apply(IndexedDataSource.scala:108)
at org.apache.spark.sql.execution.datasources.IndexedDataSource$$anonfun$createIndex$2.apply(IndexedDataSource.scala:107)
at org.apache.spark.sql.execution.datasources.Metastore.create(Metastore.scala:162)
at org.apache.spark.sql.execution.datasources.IndexedDataSource.createIndex(IndexedDataSource.scala:107)
at org.apache.spark.sql.CreateIndexCommand.createIndex(DataFrameIndexManager.scala:225)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:498)
at py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:244)
at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:357)
at py4j.Gateway.invoke(Gateway.java:280)
at py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:132)
at py4j.commands.CallCommand.execute(CallCommand.java:79)
at py4j.GatewayConnection.run(GatewayConnection.java:214)
at java.lang.Thread.run(Thread.java:748)
Caused by: java.lang.NullPointerException
at org.apache.hadoop.fs.FileSystem.getDefaultUri(FileSystem.java:232)
at org.apache.hadoop.fs.FileSystem.get(FileSystem.java:223)
at org.apache.spark.sql.execution.datasources.parquet.ParquetStatisticsRDD.compute(ParquetStatisticsRDD.scala:122)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:323)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:287)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:87)
at org.apache.spark.scheduler.Task.run(Task.scala:108)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:335)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
... 1 more
`
It looks like the hadoopConf is somehow Null, although I'm able to access it in my shell just fine