Looks like it's trying to treat that path as a folder, try omitting
the file name and just use the folder path.
On Sat, Dec 31, 2016 at 7:58 PM, Raymond Xie <xie3208...@gmail.com> wrote:
> Happy new year!!!
>
> I am trying to load a json file into spark, the json file is attached here.
>
> I received the following error, can anyone help me to fix it? Thank you very
> much. I am using Spark 1.6.2 and python 2.7.5
>
>>>> from pyspark.sql import SQLContext
>>>> sqlContext = SQLContext(sc)
>>>> df = sqlContext.read.json("/root/Downloads/data/json/world_bank.json")
> 16/12/31 22:54:53 INFO json.JSONRelation: Listing
> hdfs://localhost:9000/root/Downloads/data/json/world_bank.json on driver
> 16/12/31 22:54:54 INFO storage.MemoryStore: Block broadcast_0 stored as
> values in memory (estimated size 212.4 KB, free 212.4 KB)
> 16/12/31 22:54:54 INFO storage.MemoryStore: Block broadcast_0_piece0 stored
> as bytes in memory (estimated size 19.6 KB, free 232.0 KB)
> 16/12/31 22:54:54 INFO storage.BlockManagerInfo: Added broadcast_0_piece0 in
> memory on localhost:39844 (size: 19.6 KB, free: 511.1 MB)
> 16/12/31 22:54:54 INFO spark.SparkContext: Created broadcast 0 from json at
> NativeMethodAccessorImpl.java:-2
> Traceback (most recent call last):
> File "<stdin>", line 1, in <module>
> File "/opt/spark/python/pyspark/sql/readwriter.py", line 176, in json
> return self._df(self._jreader.json(path))
> File "/opt/spark/python/lib/py4j-0.9-src.zip/py4j/java_gateway.py", line
> 813, in __call__
> File "/opt/spark/python/pyspark/sql/utils.py", line 45, in deco
> return f(*a, **kw)
> File "/opt/spark/python/lib/py4j-0.9-src.zip/py4j/protocol.py", line 308,
> in get_return_value
> py4j.protocol.Py4JJavaError: An error occurred while calling o19.json.
> : java.io.IOException: No input paths specified in job
> at
> org.apache.hadoop.mapred.FileInputFormat.listStatus(FileInputFormat.java:201)
> at
> org.apache.hadoop.mapred.FileInputFormat.getSplits(FileInputFormat.java:313)
> at org.apache.spark.rdd.HadoopRDD.getPartitions(HadoopRDD.scala:199)
> at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:239)
> at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:237)
> at scala.Option.getOrElse(Option.scala:120)
> at org.apache.spark.rdd.RDD.partitions(RDD.scala:237)
> at
> org.apache.spark.rdd.MapPartitionsRDD.getPartitions(MapPartitionsRDD.scala:35)
> at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:239)
> at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:237)
> at scala.Option.getOrElse(Option.scala:120)
> at org.apache.spark.rdd.RDD.partitions(RDD.scala:237)
> at
> org.apache.spark.rdd.MapPartitionsRDD.getPartitions(MapPartitionsRDD.scala:35)
> at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:239)
> at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:237)
> at scala.Option.getOrElse(Option.scala:120)
> at org.apache.spark.rdd.RDD.partitions(RDD.scala:237)
> at org.apache.spark.rdd.RDD$$anonfun$treeAggregate$1.apply(RDD.scala:1129)
> at
> org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:150)
> at
> org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:111)
> at org.apache.spark.rdd.RDD.withScope(RDD.scala:316)
> at org.apache.spark.rdd.RDD.treeAggregate(RDD.scala:1127)
> at
> org.apache.spark.sql.execution.datasources.json.InferSchema$.infer(InferSchema.scala:65)
> at
> org.apache.spark.sql.execution.datasources.json.JSONRelation$$anonfun$4.apply(JSONRelation.scala:114)
> at
> org.apache.spark.sql.execution.datasources.json.JSONRelation$$anonfun$4.apply(JSONRelation.scala:109)
> at scala.Option.getOrElse(Option.scala:120)
> at
> org.apache.spark.sql.execution.datasources.json.JSONRelation.dataSchema$lzycompute(JSONRelation.scala:109)
> at
> org.apache.spark.sql.execution.datasources.json.JSONRelation.dataSchema(JSONRelation.scala:108)
> at
> org.apache.spark.sql.sources.HadoopFsRelation.schema$lzycompute(interfaces.scala:636)
> at
> org.apache.spark.sql.sources.HadoopFsRelation.schema(interfaces.scala:635)
> at
> org.apache.spark.sql.execution.datasources.LogicalRelation.<init>(LogicalRelation.scala:37)
> at org.apache.spark.sql.DataFrameReader.load(DataFrameReader.scala:125)
> at org.apache.spark.sql.DataFrameReader.load(DataFrameReader.scala:109)
> at org.apache.spark.sql.DataFrameReader.json(DataFrameReader.scala:244)
> 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:497)
> at py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:231)
> at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:381)
> at py4j.Gateway.invoke(Gateway.java:259)
> at py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:133)
> at py4j.commands.CallCommand.execute(CallCommand.java:79)
> at py4j.GatewayConnection.run(GatewayConnection.java:209)
> at java.lang.Thread.run(Thread.java:745)
>
>
> ------------------------------------------------
> Sincerely yours,
>
>
> Raymond
>
>
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