Dear Liu: Thank you for your replay. I will set up an experimental environment for spark-1.1 and test it.
On Wed, Nov 12, 2014 at 2:30 PM, Davies Liu-2 [via Apache Spark User List] < ml-node+s1001560n1868...@n3.nabble.com> wrote: > Yes, your broadcast should be about 300M, much smaller than 2G, I > didn't read your post carefully. > > The broadcast in Python had been improved much since 1.1, I think it > will work in 1.1 or upcoming 1.2 release, could you upgrade to 1.1? > > Davies > > On Tue, Nov 11, 2014 at 8:37 PM, bliuab <[hidden email] > <http://user/SendEmail.jtp?type=node&node=18684&i=0>> wrote: > > > Dear Liu: > > > > Thank you very much for your help. I will update that patch. By the way, > as > > I have succeed to broadcast an array of size(30M) the log said that such > > array takes around 230MB memory. As a result, I think the numpy array > that > > leads to error is much smaller than 2G. > > > > On Wed, Nov 12, 2014 at 12:29 PM, Davies Liu-2 [via Apache Spark User > List] > > <[hidden email]> wrote: > >> > >> This PR fix the problem: https://github.com/apache/spark/pull/2659 > >> > >> cc @josh > >> > >> Davies > >> > >> On Tue, Nov 11, 2014 at 7:47 PM, bliuab <[hidden email]> wrote: > >> > >> > In spark-1.0.2, I have come across an error when I try to broadcast a > >> > quite > >> > large numpy array(with 35M dimension). The error information except > the > >> > java.lang.NegativeArraySizeException error and details is listed > below. > >> > Moreover, when broadcast a relatively smaller numpy array(30M > >> > dimension), > >> > everything works fine. And 30M dimension numpy array takes 230M > memory > >> > which, in my opinion, not very large. > >> > As far as I have surveyed, it seems related with py4j. However, I > have > >> > no > >> > idea how to fix this. I would be appreciated if I can get some hint. > >> > ------------ > >> > py4j.protocol.Py4JError: An error occurred while calling > o23.broadcast. > >> > Trace: > >> > java.lang.NegativeArraySizeException > >> > at py4j.Base64.decode(Base64.java:292) > >> > at py4j.Protocol.getBytes(Protocol.java:167) > >> > at py4j.Protocol.getObject(Protocol.java:276) > >> > at > >> > py4j.commands.AbstractCommand.getArguments(AbstractCommand.java:81) > >> > at py4j.commands.CallCommand.execute(CallCommand.java:77) > >> > at py4j.GatewayConnection.run(GatewayConnection.java:207) > >> > ------------- > >> > And the test code is a follows: > >> > conf = > >> > > >> > SparkConf().setAppName('brodyliu_LR').setMaster('spark:// > 10.231.131.87:5051') > >> > conf.set('spark.executor.memory', '4000m') > >> > conf.set('spark.akka.timeout', '100000') > >> > conf.set('spark.ui.port','8081') > >> > conf.set('spark.cores.max','150') > >> > #conf.set('spark.rdd.compress', 'True') > >> > conf.set('spark.default.parallelism', '300') > >> > #configure the spark environment > >> > sc = SparkContext(conf=conf, batchSize=1) > >> > > >> > vec = np.random.rand(35000000) > >> > a = sc.broadcast(vec) > >> > > >> > > >> > > >> > > >> > > >> > > >> > -- > >> > View this message in context: > >> > > http://apache-spark-user-list.1001560.n3.nabble.com/Pyspark-Error-when-broadcast-numpy-array-tp18662.html > >> > Sent from the Apache Spark User List mailing list archive at > Nabble.com. > >> > > >> > --------------------------------------------------------------------- > >> > To unsubscribe, e-mail: [hidden email] > >> > For additional commands, e-mail: [hidden email] > >> > > >> > >> --------------------------------------------------------------------- > >> To unsubscribe, e-mail: [hidden email] > >> For additional commands, e-mail: [hidden email] > >> > >> > >> > >> ________________________________ > >> If you reply to this email, your message will be added to the > discussion > >> below: > >> > >> > http://apache-spark-user-list.1001560.n3.nabble.com/Pyspark-Error-when-broadcast-numpy-array-tp18662p18673.html > >> To unsubscribe from Pyspark Error when broadcast numpy array, click > here. > >> NAML > > > > > > > > > > -- > > My Homepage: www.cse.ust.hk/~bliuab > > MPhil student in Hong Kong University of Science and Technology. > > Clear Water Bay, Kowloon, Hong Kong. > > Profile at LinkedIn. > > > > ________________________________ > > View this message in context: Re: Pyspark Error when broadcast numpy > array > > > > Sent from the Apache Spark User List mailing list archive at Nabble.com. > > --------------------------------------------------------------------- > To unsubscribe, e-mail: [hidden email] > <http://user/SendEmail.jtp?type=node&node=18684&i=1> > For additional commands, e-mail: [hidden email] > <http://user/SendEmail.jtp?type=node&node=18684&i=2> > > > > ------------------------------ > If you reply to this email, your message will be added to the discussion > below: > > http://apache-spark-user-list.1001560.n3.nabble.com/Pyspark-Error-when-broadcast-numpy-array-tp18662p18684.html > To unsubscribe from Pyspark Error when broadcast numpy array, click here > <http://apache-spark-user-list.1001560.n3.nabble.com/template/NamlServlet.jtp?macro=unsubscribe_by_code&node=18662&code=YmxpdWFiQGNzZS51c3QuaGt8MTg2NjJ8NTUwMDMxMjYz> > . > NAML > <http://apache-spark-user-list.1001560.n3.nabble.com/template/NamlServlet.jtp?macro=macro_viewer&id=instant_html%21nabble%3Aemail.naml&base=nabble.naml.namespaces.BasicNamespace-nabble.view.web.template.NabbleNamespace-nabble.view.web.template.NodeNamespace&breadcrumbs=notify_subscribers%21nabble%3Aemail.naml-instant_emails%21nabble%3Aemail.naml-send_instant_email%21nabble%3Aemail.naml> > -- My Homepage: www.cse.ust.hk/~bliuab MPhil student in Hong Kong University of Science and Technology. 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