I think that problem also depends on file system, I use mac and My program found file, but only when I created new, but not rename or move
And in logs 15/09/07 10:44:52 INFO FileInputDStream: New files at time 1441611892000 ms: I found my file But I don't see any processing of file in logs 2015-09-07 8:44 GMT+03:00 Kamil Khadiev <kamilh...@gmail.com>: > Thank you. > > But it still does not work. > > Also I did another mistake: I wrote name of file, but not directory. > > I fix it: > conf = (SparkConf() > .setMaster("local") > .setAppName("My app") > .set("spark.executor.memory", "1g")) > sc = SparkContext(conf = conf) > ssc = StreamingContext(sc, 1) > lines = ssc.textFileStream('../inputs/streaminginputs') > counts = lines.flatMap(lambda line: line.split(" "))\ > .map(lambda x: (x, 1))\ > .reduceByKey(lambda a, b: a+b) > counts.pprint() > ssc.start() > ssc.awaitTermination() > > I add file to '../inputs/streaminginputs' directory, then rename it, also > try to copy new. > But it does not help. I have same situation in console. > Also I have logs like this every second (But I haven't expected logs about > new file): > > ------------------------------------------- > Time: 2015-09-07 08:39:29 > ------------------------------------------- > > 15/09/07 08:39:30 INFO FileInputDStream: Finding new files took 0 ms > 15/09/07 08:39:30 INFO FileInputDStream: New files at time 1441604370000 > ms: > > 15/09/07 08:39:30 INFO JobScheduler: Added jobs for time 1441604370000 ms > 15/09/07 08:39:30 INFO JobScheduler: Starting job streaming job > 1441604370000 ms.0 from job set of time 1441604370000 ms > 15/09/07 08:39:30 INFO SparkContext: Starting job: runJob at > PythonRDD.scala:362 > 15/09/07 08:39:30 INFO DAGScheduler: Registering RDD 163 (call at > /Library/Python/2.7/site-packages/py4j/java_gateway.py:1206) > 15/09/07 08:39:30 INFO DAGScheduler: Got job 20 (runJob at > PythonRDD.scala:362) with 1 output partitions (allowLocal=true) > 15/09/07 08:39:30 INFO DAGScheduler: Final stage: Stage 41(runJob at > PythonRDD.scala:362) > 15/09/07 08:39:30 INFO DAGScheduler: Parents of final stage: List(Stage 40) > 15/09/07 08:39:30 INFO DAGScheduler: Missing parents: List() > 15/09/07 08:39:30 INFO DAGScheduler: Submitting Stage 41 (PythonRDD[167] > at RDD at PythonRDD.scala:43), which has no missing parents > 15/09/07 08:39:30 INFO MemoryStore: ensureFreeSpace(5952) called with > curMem=31088, maxMem=278019440 > 15/09/07 08:39:30 INFO MemoryStore: Block broadcast_20 stored as values in > memory (estimated size 5.8 KB, free 265.1 MB) > 15/09/07 08:39:30 INFO MemoryStore: ensureFreeSpace(4413) called with > curMem=37040, maxMem=278019440 > 15/09/07 08:39:30 INFO MemoryStore: Block broadcast_20_piece0 stored as > bytes in memory (estimated size 4.3 KB, free 265.1 MB) > 15/09/07 08:39:30 INFO BlockManagerInfo: Added broadcast_20_piece0 in > memory on localhost:57739 (size: 4.3 KB, free: 265.1 MB) > 15/09/07 08:39:30 INFO BlockManagerMaster: Updated info of block > broadcast_20_piece0 > 15/09/07 08:39:30 INFO SparkContext: Created broadcast 20 from broadcast > at DAGScheduler.scala:839 > 15/09/07 08:39:30 INFO DAGScheduler: Submitting 1 missing tasks from Stage > 41 (PythonRDD[167] at RDD at PythonRDD.scala:43) > 15/09/07 08:39:30 INFO TaskSchedulerImpl: Adding task set 41.0 with 1 tasks > 15/09/07 08:39:30 INFO TaskSetManager: Starting task 0.0 in stage 41.0 > (TID 20, localhost, PROCESS_LOCAL, 1056 bytes) > 15/09/07 08:39:30 INFO Executor: Running task 0.0 in stage 41.0 (TID 20) > 15/09/07 08:39:30 INFO ShuffleBlockFetcherIterator: Getting 0 non-empty > blocks out of 0 blocks > 15/09/07 08:39:30 INFO ShuffleBlockFetcherIterator: Started 0 remote > fetches in 0 ms > 15/09/07 08:39:30 INFO PythonRDD: Times: total = 1, boot = -1005, init = > 1006, finish = 0 > 15/09/07 08:39:30 INFO PythonRDD: Times: total = 2, boot = -1004, init = > 1006, finish = 0 > 15/09/07 08:39:30 INFO Executor: Finished task 0.0 in stage 41.0 (TID 20). > 932 bytes result sent to driver > 15/09/07 08:39:30 INFO TaskSetManager: Finished task 0.0 in stage 41.0 > (TID 20) in 7 ms on localhost (1/1) > 15/09/07 08:39:30 INFO TaskSchedulerImpl: Removed TaskSet 41.0, whose > tasks have all completed, from pool > 15/09/07 08:39:30 INFO DAGScheduler: Stage 41 (runJob at > PythonRDD.scala:362) finished in 0.008 s > 15/09/07 08:39:30 INFO DAGScheduler: Job 20 finished: runJob at > PythonRDD.scala:362, took 0.015576 s > 15/09/07 08:39:30 INFO JobScheduler: Finished job streaming job > 1441604370000 ms.0 from job set of time 1441604370000 ms > > 2015-09-04 20:14 GMT+03:00 Davies Liu <dav...@databricks.com>: > >> Spark Streaming only process the NEW files after it started, so you >> should point it to a directory, and copy the file into it after >> started. >> >> On Fri, Sep 4, 2015 at 5:15 AM, Kamilbek <kamilh...@gmail.com> wrote: >> > I use spark 1.3.1 and Python 2.7 >> > >> > It is my first experience with Spark Streaming. >> > >> > I try example of code, which reads data from file using spark streaming. >> > >> > This is link to example: >> > >> https://github.com/apache/spark/blob/master/examples/src/main/python/streaming/hdfs_wordcount.py >> > >> > My code is the following: >> > >> > conf = (SparkConf() >> > .setMaster("local") >> > .setAppName("My app") >> > .set("spark.executor.memory", "1g")) >> > sc = SparkContext(conf = conf) >> > ssc = StreamingContext(sc, 1) >> > lines = ssc.textFileStream('../inputs/2.txt') >> > counts = lines.flatMap(lambda line: line.split(" "))\ >> > .map(lambda x: (x, 1))\ >> > .reduceByKey(lambda a, b: a+b) >> > counts.pprint() >> > ssc.start() >> > ssc.awaitTermination() >> > >> > >> > content of 2.txt file is following: >> > >> > a1 b1 c1 d1 e1 f1 g1 >> > a2 b2 c2 d2 e2 f2 g2 >> > a3 b3 c3 d3 e3 f3 g3 >> > >> > >> > I expect that something related to file content will be in console, but >> > there are nothing. Nothing except text like this each second: >> > >> > ------------------------------------------- >> > Time: 2015-09-03 15:08:18 >> > ------------------------------------------- >> > >> > and Spark's logs. >> > >> > Do I do some thing wrong? Otherwise why it does not work? >> > >> > >> > >> > -- >> > View this message in context: >> http://apache-spark-user-list.1001560.n3.nabble.com/Python-Spark-Streaming-example-with-textFileStream-does-not-work-Why-tp24579.html >> > Sent from the Apache Spark User List mailing list archive at Nabble.com. >> > >> > --------------------------------------------------------------------- >> > To unsubscribe, e-mail: user-unsubscr...@spark.apache.org >> > For additional commands, e-mail: user-h...@spark.apache.org >> > >> > >