Re: org.apache.spark.SparkException: Task not serializable
In fact, I will suggest different way to handle the originally problem. The example listed originally comes with a Java Function doesn't use any instance fields/methods, so serializing the whole class is a overkill solution. Instead, you can/should make the Function static, which will work in the logic of that function tries to do, and it is a better solution than marking the whole class serializable. The whole issue is that the function is not static, but doesn't use any instance fields or other methods. But Spark sends the non-static function call, it has to wrapper the whole class which contains the function as a whole closure through network, and in this case, it requires the whole class to be serializable. Yong From: 颜发才(Yan Facai) Sent: Saturday, March 11, 2017 6:48 AM To: 萝卜丝炒饭 Cc: Mina Aslani; Ankur Srivastava; user@spark.apache.org Subject: Re: org.apache.spark.SparkException: Task not serializable For scala, make your class Serializable, like this ``` class YourClass extends Serializable { } ``` On Sat, Mar 11, 2017 at 3:51 PM, 萝卜丝炒饭 <1427357...@qq.com<mailto:1427357...@qq.com>> wrote: hi mina, can you paste your new code here pleasel i meet this issue too but do not get Ankur's idea. thanks Robin ---Original--- From: "Mina Aslani"mailto:aslanim...@gmail.com>> Date: 2017/3/7 05:32:10 To: "Ankur Srivastava"mailto:ankur.srivast...@gmail.com>>; Cc: "user@spark.apache.org<mailto:user@spark.apache.org>"mailto:user@spark.apache.org>>; Subject: Re: org.apache.spark.SparkException: Task not serializable Thank you Ankur for the quick response, really appreciate it! Making the class serializable resolved the exception! Best regards, Mina On Mon, Mar 6, 2017 at 4:20 PM, Ankur Srivastava mailto:ankur.srivast...@gmail.com>> wrote: The fix for this make your class Serializable. The reason being the closures you have defined in the class need to be serialized and copied over to all executor nodes. Hope this helps. Thanks Ankur On Mon, Mar 6, 2017 at 1:06 PM, Mina Aslani mailto:aslanim...@gmail.com>> wrote: Hi, I am trying to start with spark and get number of lines of a text file in my mac, however I get org.apache.spark.SparkException: Task not serializable error on JavaRDD logData = javaCtx.textFile(file); Please see below for the sample of code and the stackTrace. Any idea why this error is thrown? Best regards, Mina System.out.println("Creating Spark Configuration"); SparkConf javaConf = new SparkConf(); javaConf.setAppName("My First Spark Java Application"); javaConf.setMaster("PATH to my spark"); System.out.println("Creating Spark Context"); JavaSparkContext javaCtx = new JavaSparkContext(javaConf); System.out.println("Loading the Dataset and will further process it"); String file = "file:///file.txt"; JavaRDD logData = javaCtx.textFile(file); long numLines = logData.filter(new Function() { public Boolean call(String s) { return true; } }).count(); System.out.println("Number of Lines in the Dataset "+numLines); javaCtx.close(); Exception in thread "main" org.apache.spark.SparkException: Task not serializable at org.apache.spark.util.ClosureCleaner$.ensureSerializable(ClosureCleaner.scala:298) at org.apache.spark.util.ClosureCleaner$.org$apache$spark$util$ClosureCleaner$$clean(ClosureCleaner.scala:288) at org.apache.spark.util.ClosureCleaner$.clean(ClosureCleaner.scala:108) at org.apache.spark.SparkContext.clean(SparkContext.scala:2094) at org.apache.spark.rdd.RDD$$anonfun$filter$1.apply(RDD.scala:387) at org.apache.spark.rdd.RDD$$anonfun$filter$1.apply(RDD.scala:386) at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151) at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:112) at org.apache.spark.rdd.RDD.withScope(RDD.scala:362) at org.apache.spark.rdd.RDD.filter(RDD.scala:386) at org.apache.spark.api.java.JavaRDD.filter(JavaRDD.scala:78)
Re: org.apache.spark.SparkException: Task not serializable
For scala, make your class Serializable, like this ``` class YourClass *extends Serializable {}```* On Sat, Mar 11, 2017 at 3:51 PM, 萝卜丝炒饭 <1427357...@qq.com> wrote: > hi mina, > > can you paste your new code here pleasel > i meet this issue too but do not get Ankur's idea. > > thanks > Robin > > ---Original--- > *From:* "Mina Aslani" > *Date:* 2017/3/7 05:32:10 > *To:* "Ankur Srivastava"; > *Cc:* "user@spark.apache.org"; > *Subject:* Re: org.apache.spark.SparkException: Task not serializable > > Thank you Ankur for the quick response, really appreciate it! Making the > class serializable resolved the exception! > > Best regards, > Mina > > On Mon, Mar 6, 2017 at 4:20 PM, Ankur Srivastava < > ankur.srivast...@gmail.com> wrote: > >> The fix for this make your class Serializable. The reason being the >> closures you have defined in the class need to be serialized and copied >> over to all executor nodes. >> >> Hope this helps. >> >> Thanks >> Ankur >> >> On Mon, Mar 6, 2017 at 1:06 PM, Mina Aslani wrote: >> >>> Hi, >>> >>> I am trying to start with spark and get number of lines of a text file in >>> my mac, however I get >>> >>> org.apache.spark.SparkException: Task not serializable error on >>> >>> JavaRDD logData = javaCtx.textFile(file); >>> >>> Please see below for the sample of code and the stackTrace. >>> >>> Any idea why this error is thrown? >>> >>> Best regards, >>> >>> Mina >>> >>> System.out.println("Creating Spark Configuration"); >>> SparkConf javaConf = new SparkConf(); >>> javaConf.setAppName("My First Spark Java Application"); >>> javaConf.setMaster("PATH to my spark"); >>> System.out.println("Creating Spark Context"); >>> JavaSparkContext javaCtx = new JavaSparkContext(javaConf); >>> System.out.println("Loading the Dataset and will further process it"); >>> String file = "file:///file.txt"; >>> JavaRDD logData = javaCtx.textFile(file); >>> >>> long numLines = logData.filter(new Function() { >>>public Boolean call(String s) { >>> return true; >>>} >>> }).count(); >>> >>> System.out.println("Number of Lines in the Dataset "+numLines); >>> >>> javaCtx.close(); >>> >>> Exception in thread "main" org.apache.spark.SparkException: Task not >>> serializable >>> at >>> org.apache.spark.util.ClosureCleaner$.ensureSerializable(ClosureCleaner.scala:298) >>> at >>> org.apache.spark.util.ClosureCleaner$.org$apache$spark$util$ClosureCleaner$$clean(ClosureCleaner.scala:288) >>> at org.apache.spark.util.ClosureCleaner$.clean(ClosureCleaner.scala:108) >>> at org.apache.spark.SparkContext.clean(SparkContext.scala:2094) >>> at org.apache.spark.rdd.RDD$$anonfun$filter$1.apply(RDD.scala:387) >>> at org.apache.spark.rdd.RDD$$anonfun$filter$1.apply(RDD.scala:386) >>> at >>> org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151) >>> at >>> org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:112) >>> at org.apache.spark.rdd.RDD.withScope(RDD.scala:362) >>> at org.apache.spark.rdd.RDD.filter(RDD.scala:386) >>> at org.apache.spark.api.java.JavaRDD.filter(JavaRDD.scala:78) >>> >>> >> >
Re: org.apache.spark.SparkException: Task not serializable
hi mina, can you paste your new code here pleasel i meet this issue too but do not get Ankur's idea. thanks Robin ---Original--- From: "Mina Aslani" Date: 2017/3/7 05:32:10 To: "Ankur Srivastava"; Cc: "user@spark.apache.org"; Subject: Re: org.apache.spark.SparkException: Task not serializable Thank you Ankur for the quick response, really appreciate it! Making the class serializable resolved the exception! Best regards,Mina On Mon, Mar 6, 2017 at 4:20 PM, Ankur Srivastava wrote: The fix for this make your class Serializable. The reason being the closures you have defined in the class need to be serialized and copied over to all executor nodes. Hope this helps. Thanks Ankur On Mon, Mar 6, 2017 at 1:06 PM, Mina Aslani wrote: Hi,I am trying to start with spark and get number of lines of a text file in my mac, however I get org.apache.spark.SparkException: Task not serializable error on JavaRDD logData = javaCtx.textFile(file);Please see below for the sample of code and the stackTrace.Any idea why this error is thrown?Best regards,MinaSystem.out.println("Creating Spark Configuration"); SparkConf javaConf = new SparkConf(); javaConf.setAppName("My First Spark Java Application"); javaConf.setMaster("PATH to my spark"); System.out.println("Creating Spark Context"); JavaSparkContext javaCtx = new JavaSparkContext(javaConf); System.out.println("Loading the Dataset and will further process it"); String file = "file:///file.txt"; JavaRDD logData = javaCtx.textFile(file); long numLines = logData.filter(new Function() { public Boolean call(String s) { return true; } }).count(); System.out.println("Number of Lines in the Dataset "+numLines); javaCtx.close(); Exception in thread "main" org.apache.spark.SparkException: Task not serializable at org.apache.spark.util.ClosureCleaner$.ensureSerializable(ClosureCleaner.scala:298) at org.apache.spark.util.ClosureCleaner$.org$apache$spark$util$ClosureCleaner$$clean(ClosureCleaner.scala:288) at org.apache.spark.util.ClosureCleaner$.clean(ClosureCleaner.scala:108) at org.apache.spark.SparkContext.clean(SparkContext.scala:2094) at org.apache.spark.rdd.RDD$$anonfun$filter$1.apply(RDD.scala:387) at org.apache.spark.rdd.RDD$$anonfun$filter$1.apply(RDD.scala:386) at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151) at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:112) at org.apache.spark.rdd.RDD.withScope(RDD.scala:362) at org.apache.spark.rdd.RDD.filter(RDD.scala:386) at org.apache.spark.api.java.JavaRDD.filter(JavaRDD.scala:78)
Re: org.apache.spark.SparkException: Task not serializable
Thank you Ankur for the quick response, really appreciate it! Making the class serializable resolved the exception! Best regards, Mina On Mon, Mar 6, 2017 at 4:20 PM, Ankur Srivastava wrote: > The fix for this make your class Serializable. The reason being the > closures you have defined in the class need to be serialized and copied > over to all executor nodes. > > Hope this helps. > > Thanks > Ankur > > On Mon, Mar 6, 2017 at 1:06 PM, Mina Aslani wrote: > >> Hi, >> >> I am trying to start with spark and get number of lines of a text file in my >> mac, however I get >> >> org.apache.spark.SparkException: Task not serializable error on >> >> JavaRDD logData = javaCtx.textFile(file); >> >> Please see below for the sample of code and the stackTrace. >> >> Any idea why this error is thrown? >> >> Best regards, >> >> Mina >> >> System.out.println("Creating Spark Configuration"); >> SparkConf javaConf = new SparkConf(); >> javaConf.setAppName("My First Spark Java Application"); >> javaConf.setMaster("PATH to my spark"); >> System.out.println("Creating Spark Context"); >> JavaSparkContext javaCtx = new JavaSparkContext(javaConf); >> System.out.println("Loading the Dataset and will further process it"); >> String file = "file:///file.txt"; >> JavaRDD logData = javaCtx.textFile(file); >> >> long numLines = logData.filter(new Function() { >>public Boolean call(String s) { >> return true; >>} >> }).count(); >> >> System.out.println("Number of Lines in the Dataset "+numLines); >> >> javaCtx.close(); >> >> Exception in thread "main" org.apache.spark.SparkException: Task not >> serializable >> at >> org.apache.spark.util.ClosureCleaner$.ensureSerializable(ClosureCleaner.scala:298) >> at >> org.apache.spark.util.ClosureCleaner$.org$apache$spark$util$ClosureCleaner$$clean(ClosureCleaner.scala:288) >> at org.apache.spark.util.ClosureCleaner$.clean(ClosureCleaner.scala:108) >> at org.apache.spark.SparkContext.clean(SparkContext.scala:2094) >> at org.apache.spark.rdd.RDD$$anonfun$filter$1.apply(RDD.scala:387) >> at org.apache.spark.rdd.RDD$$anonfun$filter$1.apply(RDD.scala:386) >> at >> org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151) >> at >> org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:112) >> at org.apache.spark.rdd.RDD.withScope(RDD.scala:362) >> at org.apache.spark.rdd.RDD.filter(RDD.scala:386) >> at org.apache.spark.api.java.JavaRDD.filter(JavaRDD.scala:78) >> >> >
Re: org.apache.spark.SparkException: Task not serializable
The fix for this make your class Serializable. The reason being the closures you have defined in the class need to be serialized and copied over to all executor nodes. Hope this helps. Thanks Ankur On Mon, Mar 6, 2017 at 1:06 PM, Mina Aslani wrote: > Hi, > > I am trying to start with spark and get number of lines of a text file in my > mac, however I get > > org.apache.spark.SparkException: Task not serializable error on > > JavaRDD logData = javaCtx.textFile(file); > > Please see below for the sample of code and the stackTrace. > > Any idea why this error is thrown? > > Best regards, > > Mina > > System.out.println("Creating Spark Configuration"); > SparkConf javaConf = new SparkConf(); > javaConf.setAppName("My First Spark Java Application"); > javaConf.setMaster("PATH to my spark"); > System.out.println("Creating Spark Context"); > JavaSparkContext javaCtx = new JavaSparkContext(javaConf); > System.out.println("Loading the Dataset and will further process it"); > String file = "file:///file.txt"; > JavaRDD logData = javaCtx.textFile(file); > > long numLines = logData.filter(new Function() { >public Boolean call(String s) { > return true; >} > }).count(); > > System.out.println("Number of Lines in the Dataset "+numLines); > > javaCtx.close(); > > Exception in thread "main" org.apache.spark.SparkException: Task not > serializable > at > org.apache.spark.util.ClosureCleaner$.ensureSerializable(ClosureCleaner.scala:298) > at > org.apache.spark.util.ClosureCleaner$.org$apache$spark$util$ClosureCleaner$$clean(ClosureCleaner.scala:288) > at org.apache.spark.util.ClosureCleaner$.clean(ClosureCleaner.scala:108) > at org.apache.spark.SparkContext.clean(SparkContext.scala:2094) > at org.apache.spark.rdd.RDD$$anonfun$filter$1.apply(RDD.scala:387) > at org.apache.spark.rdd.RDD$$anonfun$filter$1.apply(RDD.scala:386) > at > org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151) > at > org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:112) > at org.apache.spark.rdd.RDD.withScope(RDD.scala:362) > at org.apache.spark.rdd.RDD.filter(RDD.scala:386) > at org.apache.spark.api.java.JavaRDD.filter(JavaRDD.scala:78) > >