我正在EMR上的pyspark中读取压缩的.gz文件。但是 文件格式错误（这是一个json文件，每行的列数不同），并收到以下异常。有人可以提供有关如何在pyspark中读取格式错误的gz文件的指针吗？
代码：
rdd = sc.textFile("s3n://abc/us/web-logs/2018/08/29/00/0000.gz");
df = rdd.toDF();
print df.printSchema();
df = rdd.toDF();
错误：
> > Traceback (most recent call last): File "<stdin>", line 1, in
> > <module> File "/usr/lib/spark/python/pyspark/sql/session.py", line
> > 58, in toDF
> > return sparkSession.createDataFrame(self, schema, sampleRatio) File "/usr/lib/spark/python/pyspark/sql/session.py",
> line 687, in
> > createDataFrame
> > rdd, schema = self._createFromRDD(data.map(prepare), schema, samplingRatio) File "/usr/lib/spark/python/pyspark/sql/session.py",
> > line 384, in _createFromRDD
> > struct = self._inferSchema(rdd, samplingRatio, names=schema) File "/usr/lib/spark/python/pyspark/sql/session.py", line 355, in
> > _inferSchema
> > first = rdd.first() File "/usr/lib/spark/python/pyspark/rdd.py", line 1376, in first
> > rs = self.take(1) File "/usr/lib/spark/python/pyspark/rdd.py", line 1328, in take
> > totalParts = self.getNumPartitions() File "/usr/lib/spark/python/pyspark/rdd.py", line 2455, in getNumPartitions
> > return self._prev_jrdd.partitions().size() File "/usr/lib/spark/python/lib/py4j-0.10.6-src.zip/py4j/java_gateway.py",
> > line 1160, in __call__ File
> > "/usr/lib/spark/python/pyspark/sql/utils.py", line 63, in deco
> > return f(*a, **kw) File "/usr/lib/spark/python/lib/py4j-0.10.6-src.zip/py4j/protocol.py", line
> > 324, in get_return_value py4j.protocol.Py4JError: An error occurred
> > while calling o81.partitions. Trace:
> > com.amazon.ws.emr.hadoop.fs.shaded.com.google.inject.internal.util.$ComputationException:
> > java.lang.ArrayIndexOutOfBoundsException: 16227 at
> > com.amazon.ws.emr.hadoop.fs.shaded.com.google.inject.internal.util.$MapMaker$StrategyImpl.compute(MapMaker.java:553)
> > at
> > com.amazon.ws.emr.hadoop.fs.shaded.com.google.inject.internal.util.$MapMaker$StrategyImpl.compute(MapMaker.java:419)
> > at
> > com.amazon.ws.emr.hadoop.fs.shaded.com.google.inject.internal.util.$CustomConcurrentHashMap$ComputingImpl.get(CustomConcurrentHashMap.java:2041)
> > at
> > com.amazon.ws.emr.hadoop.fs.shaded.com.google.inject.internal.util.$StackTraceElements.forMember(StackTraceElements.java:53)
> > at
> > com.amazon.ws.emr.hadoop.fs.shaded.com.google.inject.internal.Errors.formatSource(Errors.java:690)
> > at
> > com.amazon.ws.emr.hadoop.fs.shaded.com.google.inject.internal.Errors.format(Errors.java:555)
> > at
> > com.amazon.ws.emr.hadoop.fs.shaded.com.google.inject.ProvisionException.getMessage(ProvisionException.java:59)
> > at java.lang.Throwable.getLocalizedMessage(Throwable.java:391) at
> > java.lang.Throwable.toString(Throwable.java:480) at
> > java.lang.Throwable.<init>(Throwable.java:311) at
> > java.lang.Exception.<init>(Exception.java:102) at
> > java.lang.RuntimeException.<init>(RuntimeException.java:96) at
> > py4j.Py4JException.<init>(Py4JException.java:56) at
> > py4j.Py4JJavaException.<init>(Py4JJavaException.java:59) at
> > py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:251) 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.lang.ArrayIndexOutOfBoundsException: 16227 at
> > com.amazon.ws.emr.hadoop.fs.shaded.com.google.inject.internal.asm.$ClassReader.readClass(Unknown
> > Source) at
> > com.amazon.ws.emr.hadoop.fs.shaded.com.google.inject.internal.asm.$ClassReader.accept(Unknown
> > Source) at
> > com.amazon.ws.emr.hadoop.fs.shaded.com.google.inject.internal.asm.$ClassReader.accept(Unknown
> > Source) at
> > com.amazon.ws.emr.hadoop.fs.shaded.com.google.inject.internal.util.$LineNumbers.<init>(LineNumbers.java:62)
> > at
> > com.amazon.ws.emr.hadoop.fs.shaded.com.google.inject.internal.util.$StackTraceElements$1.apply(StackTraceElements.java:36)
> > at
> > com.amazon.ws.emr.hadoop.fs.shaded.com.google.inject.internal.util.$StackTraceElements$1.apply(StackTraceElements.java:33)
> > at
> > com.amazon.ws.emr.hadoop.fs.shaded.com.google.inject.internal.util.$MapMaker$StrategyImpl.compute(MapMaker.java:549)
> > ... 20 more