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eugeny birukov edited comment on SPARK-12695 at 1/27/16 6:14 AM: ----------------------------------------------------------------- At the same code Java, I find a number of data derived from the stream that contains the bytes in a different encoding (UTF-8 and CP-1251). this may be the problem? Data example: {"u":"93e9d3d8d9ee537a7c460ce9da5a1dc9","ts":"1453874762","s":"730772160389692","r":"","json_data":{"selectAll":"0","act_number":56},"data":"eyJzZWxlY3RBbGwiOiIwIiwiYWN0X251bWJlciI6NTZ9","cdate":"2016-01-27T06:06:02.434Z","type":"ins","validate":"false","st1":"invites","client_timestamp":"1453874939","st2":"friends_feed","appId":"1a6f962ae9ab22c069e3743d822e988b","eventType":"ins","client_ip":"85.201.8.9","appName":"swwfbprod"} where "data":"eyJzZWxlY3RBbGwiOiIwIiwiYWN0X251bWJlciI6NTZ9" - base64 encoded json string that rarely contains non utf-8 bytes was (Author: johnsoft): At the same code Java, I find a number of data derived from the stream that contains the bytes in a different encoding (UTF-8 and CP-1251). this may be the problem? > java.lang.ClassCastException: [B cannot be cast to java.lang.String > ------------------------------------------------------------------- > > Key: SPARK-12695 > URL: https://issues.apache.org/jira/browse/SPARK-12695 > Project: Spark > Issue Type: Bug > Components: PySpark > Affects Versions: 1.6.0 > Reporter: eugeny birukov > Attachments: exception_SPARK-12695.log > > > I process kinesis stream in python code: > stream = KinesisUtils.createStream(ssc, appName, streamName, endpointUrl, > regionName, InitialPositionInStream.LATEST, 30) > stream.map(lambda line: str(line)).foreachRDD(process) > def process(time, rdd): > sqlContext = SQLContext.getOrCreate(rdd.context) > t = sqlContext.read.json(rdd) > run and get exception > org.apache.spark.SparkException: An exception was raised by Python: > Traceback (most recent call last): > File "/usr/local/spark/python/lib/pyspark.zip/pyspark/streaming/util.py", > line 65, in call > r = self.func(t, *rdds) > File "/usr/local/spark-1.6.0-bin-hadoop2.4/bin/kinesis_test.py", line 26, > in process > t = sqlContext.read.json(rdd.map(lambda line: str(line))) > File "/usr/local/spark/python/lib/pyspark.zip/pyspark/sql/readwriter.py", > line 180, in json > return self._df(self._jreader.json(path._jrdd)) > File "/usr/local/spark/python/lib/py4j-0.9-src.zip/py4j/java_gateway.py", > line 813, in __call__ > answer, self.gateway_client, self.target_id, self.name) > File "/usr/local/spark/python/lib/pyspark.zip/pyspark/sql/utils.py", line > 45, in deco > return f(*a, **kw) > File "/usr/local/spark/python/lib/py4j-0.9-src.zip/py4j/protocol.py", line > 308, in get_return_value > format(target_id, ".", name), value) > Py4JJavaError: An error occurred while calling o165.json. > : org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 > in stage 1.0 failed 1 times, most recent failure: Lost task 0.0 in stage 1.0 > (TID 1, localhost): java.lang.ClassCastException: [B cannot be cast to > java.lang.String > at > org.apache.spark.sql.execution.datasources.json.InferSchema$$anonfun$1$$anonfun$apply$1.apply(InferSchema.scala:53) > at scala.collection.Iterator$$anon$11.next(Iterator.scala:328) > at scala.collection.Iterator$class.foreach(Iterator.scala:727) > at scala.collection.AbstractIterator.foreach(Iterator.scala:1157) > at > scala.collection.TraversableOnce$class.foldLeft(TraversableOnce.scala:144) > at scala.collection.AbstractIterator.foldLeft(Iterator.scala:1157) > at > scala.collection.TraversableOnce$class.aggregate(TraversableOnce.scala:201) > at scala.collection.AbstractIterator.aggregate(Iterator.scala:1157) > at > org.apache.spark.rdd.RDD$$anonfun$treeAggregate$1$$anonfun$23.apply(RDD.scala:1121) > at > org.apache.spark.rdd.RDD$$anonfun$treeAggregate$1$$anonfun$23.apply(RDD.scala:1121) > at > org.apache.spark.rdd.RDD$$anonfun$treeAggregate$1$$anonfun$24.apply(RDD.scala:1122) > at > org.apache.spark.rdd.RDD$$anonfun$treeAggregate$1$$anonfun$24.apply(RDD.scala:1122) > at > org.apache.spark.rdd.RDD$$anonfun$mapPartitions$1$$anonfun$apply$20.apply(RDD.scala:710) > at > org.apache.spark.rdd.RDD$$anonfun$mapPartitions$1$$anonfun$apply$20.apply(RDD.scala:710) > at > org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38) > at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:306) > at org.apache.spark.rdd.RDD.iterator(RDD.scala:270) > at > org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38) > at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:306) > at org.apache.spark.rdd.RDD.iterator(RDD.scala:270) > at > org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:73) > at > org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:41) > at org.apache.spark.scheduler.Task.run(Task.scala:89) > at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:213) > at > java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142) > at > java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617) > at java.lang.Thread.run(Thread.java:745) > Driver stacktrace: > at > org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1431) > .... > in java same code has no exceptions > streams.map(x -> new String( x ) ) > .foreachRDD((JavaRDD<String> rdd) -> { > SQLContext sqlContext = > SQLContext.getOrCreate(rdd.context()); > > sqlContext.read().json(rdd).registerTempTable("jtable"); > DataFrame df = sqlContext.sql("select > count(appName), appName, type from jtable group by appName, type order by > appName "); > df.show(200); > }); -- This message was sent by Atlassian JIRA (v6.3.4#6332) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org