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.
> >
> > ---------------------------------------------------------------------
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> >
>
