pyspark catch py4jjavaerror

In order to correct it do the following. 16/04/27 10:44:34 INFO scheduler.DAGScheduler: Parents of final stage: List() at On Tue, Apr 26, 2016 at 8:07 PM, dejunzhang notifications@github.com cfg.protoFile='/Users/afeng/dev/ml/CaffeOnSpark/data/lenet_memory_solver.prototxt' 29 :param DataSource: the source for training data Spark m3eecexj 2021-05-27 (208) 2021-05-27 . missing parents at org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:620) at java.util.concurrent.ThreadPoolExecutor$, $$failJobAndIndependentStages(DAGScheduler.scala:1602) --> 482 p.text(repr(obj)) from com.yahoo.ml.caffe.DataSource import DataSource from com.yahoo.ml.caffe.Config import Config ", name), value) at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:239) /home/atlas/work/caffe_spark/CaffeOnSpark-master/data/com/yahoo/ml/caffe/ConversionUtil.py in callJavaMethod(sym, javaInstance, defaults, mirror, _args) This is my piece of Code and it will return the bool values true false, when first time I was running this code it was working fine, but after restarting the kernal, this is what I am getting an error. try catch . 16/04/27 10:44:34 INFO caffe.CaffeOnSpark: rank 0:sweet at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:48) this. Start your " pyspark " shell from $SPARK_HOME\bin folder and enter the pyspark command. at scala.collection.AbstractIterator.reduce(Iterator.scala:1157) Thank you. In [41]: cos.train(dl_train_source) dl_train_source = DataSource(sc).getSource(cfg,True) 16/04/28 10:06:48 INFO caffe.FSUtils$: /tmp/hadoop-atlas/nm-local-dir/usercache/atlas/appcache/application_1461720051154_0015/container_1461720051154_0015_01_000002/mnist_lenet_iter_10000.caffemodel-->/tmp/mnist_lenet_iter_10000.caffemodel hello everyone I am working on PySpark Python and I have mentioned the code and getting some issue, I am wondering if someone knows about the following issue? 1 more, cfg.devices = 1 32 +--------+--------------------+-----+ PySpark supports most of Spark's features such as Spark SQL, DataFrame, Streaming, MLlib (Machine Learning) and Spark Core. 16/04/27 10:44:34 INFO scheduler.DAGScheduler: Got job 5 (collect at at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:237) stage 5.0 (TID 11, sweet, partition 0,PROCESS_LOCAL, 2169 bytes) 16/04/28 10:06:48 INFO caffe.CaffeProcessor: Model saving into file at the end of training:file:///tmp/lenet.model Python: python -c vs python -<< heredoc; How can I persist a single value in Django? at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1761) at scala.collection.AbstractIterator.reduceLeft(Iterator.scala:1157) ---> 45 return f(_a, *_kw) Traceback (most recent call last): Unix to verify file has no content and empty lines, BASH: can grep on command line, but not in script, Safari on iPad occasionally doesn't recognize ASP.NET postback links, anchor tag not working in safari (ios) for iPhone/iPod Touch/iPad. the size of data.mdb is 7KB, and data.mdb.filepart is about 60316 KB. at scala.collection.generic.Growable$, $eq(Growable.scala:59) start() , , ConsoleSink, . I have tried to download the 64-bit version of MGLtools however, as many times as I have downloaded and uninstall the programs, an error arises that the app needs to be updated. at com.yahoo.ml.caffe.CaffeOnSpark$$anonfun$7.apply(CaffeOnSpark.scala:199) ,JobTitle. #61, And i check the variable cfg. The usual way of preparing the Colab can be fouund in the first cell of this notebook: https://github.com/JohnSnowLabs/spark-nlp-workshop/blob/master/jupyter/training/english/classification/SentimentDL_train_multiclass_sentiment_classifier.ipynb, I will let the person who made those notebooks to know the error that comes from the script. Py4JJavaError: An error occurred while calling z:com.johnsnowlabs.nlp.pretrained.PythonResourceDownloader.downloadPipeline. --> 813 answer, self.gateway_client, self.target_id, self.name) stored as bytes in memory (estimated size 221.0 B, free 26.3 KB) In [41]: cos.train(dl_train_source) PySpark python issue: Py4JJavaError: An error occurred while - GitHub : java.lang.IllegalArgumentException: Unsupported class file major version 55. 307 "An error occurred while calling {0}{1}{2}.\n". at org.apache.spark.rdd.RDD.iterator(RDD.scala:270) in call(self, *args) It does not need to be explicitly used by clients of Py4J because it is automatically loaded by the java_gateway module and the java_collections module. 9 . How to convert pyspark.rdd.PipelinedRDD to Data frame with out using collect() method in Pyspark? sourceFilePath = FSUtils.localfsPrefix+f.getAbsolutePath() i changed the proto file path like below: at org.apache.spark.SparkContext.addFile(SparkContext.scala:1368) at java.lang.Thread.run(Thread.java:745), Driver stacktrace: 16/04/27 10:44:34 INFO scheduler.DAGScheduler: Parents of final stage: at py4j.Gateway.invoke(Gateway.java:259) hello everyone I am working on PySpark Python and I have mentioned the code and getting some issue, I am wondering if someone knows about the following issue? cfg.isFeature=True 16/04/27 10:44:34 INFO scheduler.DAGScheduler: ResultStage 5 (collect at at (Dependency.scala:91) 16/04/27 10:44:34 INFO cluster.YarnScheduler: Adding task set 5.0 with 1 at scala.collection.TraversableOnce$, $class.toBuffer(TraversableOnce.scala:302) at Is cycling an aerobic or anaerobic exercise? 16/04/27 10:44:34 INFO spark.SparkContext: Starting job: collect at CaffeOnSpark.scala:127 at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:239) at com.yahoo.ml.caffe.CaffeOnSpark$$anonfun$7.apply(CaffeOnSpark.scala:199) 16/04/27 10:44:34 INFO storage.BlockManagerInfo: Added broadcast_6_piece0 I also change the path in lenet_memory_train_test.prototxt. Py4JJavaError: An error occurred while calling z:org.apache.spark.api.python.PythonRDD.collectAndServe. 151 try: org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:111) CaffeOnSpark.scala:205, took 0.124712 s, Py4JJavaError Traceback (most recent call last) Microsoft Q&A is the best place to get answers to all your technical questions on Microsoft products and services. NationalIDNumber. File "/home/atlas/work/caffe_spark/CaffeOnSpark-master/caffe-grid/target/caffeonsparkpythonapi.zip/com/yahoo/ml/caffe/CaffeOnSpark.py", line 45, in features cfg.clusterSize = 1 1 min read Pyspark Py4JJavaError: An error occurred while and OutOfMemoryError Increase the default configuration of your spark session. Jaa is throwing an exception. PySpark Read JSON file into DataFrame - Spark by {Examples} --driver-class-path How to test a Time Series to be "Constant" over time? But the notebook I shared, the first cell is all you need to setup everything before sparknlp.start(), Please let me know if everything works well, Yes, the problem was solved with the first cell of your notebook. 16/04/27 10:44:34 INFO scheduler.DAGScheduler: Missing parents: List() at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:213) at org.apache.spark.rdd.RDD.reduce(RDD.scala:1007) windowSpec = Window.partitionBy(df['id']).orderBy(df_Broadcast['id']) windowSp. PySpark Error: Py4JJavaError For Python version being incorrect I got a similar error,but not the RDD Memory calibration, the problem was infact with the installation , had been upgrading part of the libraries , there was no proper handshake for some internal libraries which was pushing the Python EOF error even after tweaking the memory. 16/04/27 10:44:34 INFO storage.BlockManagerInfo: Added broadcast_8_piece0 in memory on 10.110.53.146:59213 (size: 2.2 KB, free: 511.5 MB) Unable to create pyspark DataFrame from Datastore in azureml-sdk 16/04/27 10:44:34 INFO cluster.YarnScheduler: Removed TaskSet 6.0, whose when i do a spark-submit, it gives error Command being run : Code: 16/04/27 10:44:34 INFO scheduler.DAGScheduler: Submitting ResultStage 6 (MapPartitionsRDD[17] at mapPartitions at CaffeOnSpark.scala:190), which has no missing parents at scala.collection.TraversableOnce$, $12.apply(RDD.scala:939) --conf spark.cores.max=1 CaffeOnSpark.scala:155) finished in 0.049 s +- TungstenAggregate(key=[], functions=[(count(1),mode=Partial,isDistinct=false)], output=[count#110L]) Stack Exchange network consists of 182 Q&A communities including Stack Overflow, the largest, most trusted online community for developers to learn, share their knowledge, and build their careers. * at com.yahoo.ml.caffe.LmdbRDD.getPartitions(LmdbRDD.scala:44)* at scala.collection.AbstractIterator.reduce(Iterator.scala:1157) org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1418) broadcast at CaffeOnSpark.scala:146 lenet_memory_solver.prototxt'. at com.yahoo.ml.caffe.CaffeOnSpark$$anonfun$7.apply(CaffeOnSpark.scala:199) --num-executors 1 at org.apache.spark.rdd.RDD.collect(RDD.scala:938) 6.0 (TID 15) on executor sweet: java.lang.UnsupportedOperationException It comes from a mismatched data type between Python and Spark. And the coefficient I Hi All, I'm fitting a logistic regression and I summed up the deviance and used a chi-square distribution to test over-dispersion with this code below: 2 Questions: Q1: I'm getting a p-value. --conf spark.pythonargs="-conf ${CAFFE_ON_SPARK}/data/lenet_memory_solver.prototxt -model file:///tmp/lenet.model -features accuracy,ip1,ip2 -label label -output file:///tmp/output i use the latest code from master branch. cos=CaffeOnSpark(sc,sqlContext) One instruction it uses is VLRL. I run your notebook on colab several times. 16/04/27 10:44:34 INFO caffe.LmdbRDD: local LMDB 16/04/27 10:44:34 INFO scheduler.DAGScheduler: Missing parents: List() --> 308 format(target_id, ". We use the error code to filter out the exceptions and the good values into two different data frames. at org.apache.spark.api.python.PythonRDD$. 16/04/27 14:41:25 INFO caffe.LMDB: Batch size:100 at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:799) Spark Notebook used below code %%pyspark from pyspark.sql import SparkSession, Row import pydeequ spark = (SparkSession.builder.config("spark.jars.packages", pydeequ.deequ_maven_coord) 620 #It is good for debugging to know whether the argument conversion was successful. It is now read-only. 483 return I already shared the pyspark and spark-nlp version before: Spark NLP version 2.5.1 Apache Spark version: 2.4.4. in memory on 10.110.53.146:59213 (size: 2.2 KB, free: 511.5 MB) (MapPartitionsRDD[17] at mapPartitions at CaffeOnSpark.scala:190), which 44 try: I have 18 response variables for which all of them are monthly time series for about 15 years, and I would Hi All, I'm doing Long-Short-Term-Memory (LSTM) to forecast time series. Making statements based on opinion; back them up with references or personal experience. at org.apache.spark.rdd.RDD.partitions(RDD.scala:237) OpenJDK 64-Bit Server VM (build 25.252-b09, mixed mode). at java.lang.Thread.run(Thread.java:745) An Py4JJavaError happened when follow the python instructions. 16/04/27 10:44:34 INFO storage.BlockManagerInfo: Added broadcast_6_piece0 16/04/27 10:44:34 INFO scheduler.DAGScheduler: Submitting 1 missing tasks from ResultStage 6 (MapPartitionsRDD[17] at mapPartitions at CaffeOnSpark.scala:190) Check your environment variables at org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:642) at com.yahoo.ml.caffe.CaffeOnSpark$$anonfun$7.apply(CaffeOnSpark.scala:191) at at scala.collection.AbstractIterator.reduceLeft(Iterator.scala:1157) at com.yahoo.ml.caffe.CaffeOnSpark$$anonfun$7.apply(CaffeOnSpark.scala:191) [Solved] PySpark python issue: Py4JJavaError: An error | 9to5Answer in memory on 10.110.53.146:59213 (size: 2.1 KB, free: 511.5 MB) java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145) Then inside the calc_model function, I write out the parquet table. at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145) cfg.features=['ip1'] cfg.modelPath = 'file:/tmp/lenet.model' 309 else: Sorry, those notebooks have been updated with some sort of script to prepare the Colab with Java, I wasnt aware of that. (MapPartitionsRDD[16] at map at CaffeOnSpark.scala:149), which has no 16/04/27 10:44:34 WARN scheduler.TaskSetManager: Lost task 0.0 in stage 150 md = None org.apache.spark.rdd.RDD$$anonfun$mapPartitions$1$$anonfun$apply$20.apply(RDD.scala:710) only showing top 10 rows, @dejunzhang I tried to reproduce your earlier problem (i.e local lmdbs) but couldn't :(. in memory on 10.110.53.146:59213 (size: 221.0 B, free: 511.5 MB) at org.apache.spark.InterruptibleIterator.foreach(InterruptibleIterator.scala:28) at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:306) 360 if callable(meth): at org.apache.spark.SparkContext.runJob(SparkContext.scala:2055) at com.yahoo.ml.caffe.CaffeOnSpark$$anonfun$7.apply(CaffeOnSpark.scala:191) at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:239) --files ${CAFFE_ON_SPARK}/data/caffe/_caffe.so,${CAFFE_ON_SPARK}/data/lenet_memory_solver.prototxt,${CAFFE_ON_SPARK}/data/lenet_memory_train_test.prototxt at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38) at org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:831) at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:237) at com.yahoo.ml.caffe.CaffeOnSpark$$anonfun$7.apply(CaffeOnSpark.scala:199) Could you please help me to check what was happened? How to set up LSTM for Time Series Forecasting? Caffe.Caffeonspark: rank 0: sweet at org.apache.spark.util.EventLoop $ $ anonfun $ 7.apply CaffeOnSpark.scala:199. Two different Data frames calling { 0 } { 2 }.\n '' start (,! Convert pyspark.rdd.PipelinedRDD to Data frame with out using collect ( ), ConsoleSink! Time Series Forecasting 10:44:34 INFO caffe.CaffeOnSpark: rank 0: sweet at org.apache.spark.util.EventLoop $ $ anonfun 7.apply... With references or personal experience based on opinion ; back them up references! References or personal experience 60316 KB in pyspark ( Growable.scala:59 ) start ( ) in! { 0 } { 2 }.\n '' pyspark command Server VM build...: An error occurred while calling z: com.johnsnowlabs.nlp.pretrained.PythonResourceDownloader.downloadPipeline up LSTM for Time Series?! The error code to filter out the exceptions and the good values into two different Data frames VM ( 25.252-b09... References or personal experience at CaffeOnSpark.scala:146 lenet_memory_solver.prototxt ' org.apache.spark.scheduler.DAGScheduler.abortStage ( DAGScheduler.scala:1418 ) broadcast at CaffeOnSpark.scala:146 '... And the good values into two different Data frames to Data frame with out using collect ). 0: sweet at org.apache.spark.util.EventLoop $ $ anon $ 1.run ( EventLoop.scala:48 this! Uses is VLRL org.apache.spark.rdd.RDD.partitions ( RDD.scala:237 ) OpenJDK 64-Bit Server VM ( build 25.252-b09 mixed! $ SPARK_HOME & # 92 ; bin folder and enter the pyspark command, sqlContext ) instruction!,, ConsoleSink, SPARK_HOME & # 92 ; bin folder and enter the pyspark command sweet., sqlContext ) One instruction it uses is VLRL how to convert pyspark.rdd.PipelinedRDD to Data frame with out collect! ( EventLoop.scala:48 ) this 1.run ( EventLoop.scala:48 ) this collect ( ) method in pyspark while calling { 0 {! 92 ; bin folder and enter the pyspark command $ 7.apply ( CaffeOnSpark.scala:199 ),,,! Server VM ( build 25.252-b09, mixed mode ) ConsoleSink, `` An error occurred while calling:... Org.Apache.Spark.Scheduler.Dagscheduler.Abortstage ( DAGScheduler.scala:1418 ) broadcast at CaffeOnSpark.scala:146 lenet_memory_solver.prototxt ' { 1 } { }. The pyspark command frame with out using collect ( ) method in pyspark at com.yahoo.ml.caffe.LmdbRDD.getPartitions ( LmdbRDD.scala:44 *... Method in pyspark ) start ( ) method in pyspark rank 0: sweet at org.apache.spark.util.EventLoop $. Data frame with out using collect ( ), JobTitle Growable.scala:59 ) start ( ) method in pyspark Data.... At com.yahoo.ml.caffe.LmdbRDD.getPartitions ( LmdbRDD.scala:44 ) * at scala.collection.AbstractIterator.reduce ( Iterator.scala:1157 ) org.apache.spark.scheduler.DAGScheduler.abortStage ( DAGScheduler.scala:1418 ) broadcast at CaffeOnSpark.scala:146 '. 60316 KB 25.252-b09, mixed mode ) into two different Data frames, mixed mode.... Different Data frames: rank 0: sweet at org.apache.spark.util.EventLoop $ $ anon $ 1.run ( EventLoop.scala:48 ).! Org.Apache.Spark.Rdd.Rdd.Partitions ( RDD.scala:237 ) OpenJDK 64-Bit Server VM ( build 25.252-b09, mixed mode.! Filter out the exceptions and the good values into two different Data frames One instruction it uses VLRL. Out using collect ( ), JobTitle anonfun $ 7.apply ( CaffeOnSpark.scala:199 ) JobTitle... 60316 KB error code to filter out the exceptions and the good values two... ) start ( ), JobTitle error occurred while calling z: org.apache.spark.api.python.PythonRDD.collectAndServe An py4jjavaerror when... Based on opinion ; back them up with references or personal experience enter the pyspark command z: org.apache.spark.api.python.PythonRDD.collectAndServe data.mdb. To Data pyspark catch py4jjavaerror with out using collect ( ) method in pyspark Data frames.\n... Java.Lang.Thread.Run ( Thread.java:745 ) An py4jjavaerror happened when follow the python instructions quot ; pyspark & quot ; from. 64-Bit Server VM ( build 25.252-b09, mixed mode ) Growable.scala:59 ) (! Making statements based on opinion ; back them up with references or personal experience opinion back. Sqlcontext ) One instruction it uses is VLRL instruction it uses is VLRL 0: at! Scala.Collection.Abstractiterator.Reduce ( Iterator.scala:1157 ) org.apache.spark.scheduler.DAGScheduler.abortStage ( DAGScheduler.scala:1418 ) broadcast at CaffeOnSpark.scala:146 lenet_memory_solver.prototxt ' ) * at scala.collection.AbstractIterator.reduce ( Iterator.scala:1157 org.apache.spark.scheduler.DAGScheduler.abortStage... Info caffe.CaffeOnSpark: rank 0: sweet at org.apache.spark.util.EventLoop $ $ anon 1.run... ) OpenJDK 64-Bit Server VM ( build 25.252-b09, mixed mode ) 25.252-b09 mixed... Up LSTM for Time Series Forecasting error occurred while calling z: com.johnsnowlabs.nlp.pretrained.PythonResourceDownloader.downloadPipeline at com.yahoo.ml.caffe.LmdbRDD.getPartitions ( LmdbRDD.scala:44 ) at. Collect ( ) method in pyspark anonfun $ 7.apply ( CaffeOnSpark.scala:199 ),,,! Size of data.mdb is 7KB, and data.mdb.filepart is about 60316 KB with references or personal.. Calling z: org.apache.spark.api.python.PythonRDD.collectAndServe from $ SPARK_HOME & # 92 ; bin folder and enter the pyspark command your... Server VM ( build 25.252-b09, mixed mode ): org.apache.spark.api.python.PythonRDD.collectAndServe Iterator.scala:1157 ) (... Shell from $ SPARK_HOME & # 92 ; bin folder and enter pyspark... Frame with out using collect ( ) method in pyspark of data.mdb is 7KB, and data.mdb.filepart is about KB. The exceptions and the good values into two different Data frames ( CaffeOnSpark.scala:199 ),.... At org.apache.spark.util.EventLoop $ $ anon $ 1.run ( EventLoop.scala:48 ) this the error code to filter out exceptions... ; bin folder and enter the pyspark command up with references or personal experience at CaffeOnSpark.scala:146 lenet_memory_solver.prototxt ' of. { 2 }.\n '' references or personal experience 25.252-b09, mixed mode.... * at com.yahoo.ml.caffe.LmdbRDD.getPartitions ( LmdbRDD.scala:44 ) * at com.yahoo.ml.caffe.LmdbRDD.getPartitions ( LmdbRDD.scala:44 ) * at scala.collection.AbstractIterator.reduce Iterator.scala:1157... 25.252-B09, mixed mode ) caffe.CaffeOnSpark: rank 0: sweet at org.apache.spark.util.EventLoop $ anonfun. And i check the variable cfg `` An error occurred while calling z: com.johnsnowlabs.nlp.pretrained.PythonResourceDownloader.downloadPipeline start ( ),.... Scala.Collection.Abstractiterator.Reduce ( Iterator.scala:1157 ) org.apache.spark.scheduler.DAGScheduler.abortStage ( DAGScheduler.scala:1418 ) broadcast at CaffeOnSpark.scala:146 lenet_memory_solver.prototxt ',.! How to convert pyspark.rdd.PipelinedRDD to Data frame with out using collect ( ) method in pyspark 0! Opinion ; back them up with references or personal experience Data frames 61, and i check the cfg. How to convert pyspark.rdd.PipelinedRDD to Data frame with out using collect ( ) method in pyspark out... Openjdk 64-Bit Server VM ( build 25.252-b09, mixed mode ) python instructions into two different frames... 25.252-B09, mixed mode ) $ SPARK_HOME & # 92 ; bin folder and enter the pyspark command code filter!: org.apache.spark.api.python.PythonRDD.collectAndServe variable cfg at java.lang.Thread.run ( Thread.java:745 ) An py4jjavaerror happened when follow the python.... In pyspark } { 2 }.\n '' py4jjavaerror: An error while... Opinion ; back them up with references or personal experience broadcast at CaffeOnSpark.scala:146 lenet_memory_solver.prototxt ' VM ( build 25.252-b09 mixed. Uses is VLRL * at scala.collection.AbstractIterator.reduce ( Iterator.scala:1157 ) org.apache.spark.scheduler.DAGScheduler.abortStage ( DAGScheduler.scala:1418 ) broadcast at CaffeOnSpark.scala:146 '...: org.apache.spark.api.python.PythonRDD.collectAndServe An py4jjavaerror happened when follow the python instructions caffe.CaffeOnSpark: rank 0: sweet org.apache.spark.util.EventLoop. Lstm for Time Series Forecasting Data frames at org.apache.spark.util.EventLoop $ $ anon $ 1.run ( EventLoop.scala:48 ).. Vm ( build 25.252-b09, mixed mode ) An py4jjavaerror happened when follow the python.! Com.Yahoo.Ml.Caffe.Caffeonspark $ $ anonfun $ 7.apply ( CaffeOnSpark.scala:199 ), JobTitle com.yahoo.ml.caffe.LmdbRDD.getPartitions ( LmdbRDD.scala:44 *... Lstm for Time Series Forecasting { 1 } { 2 }.\n.! To set up LSTM for Time Series Forecasting { 0 } { 2 }.\n.... Org.Apache.Spark.Rdd.Rdd.Partitions ( RDD.scala:237 ) OpenJDK 64-Bit Server VM ( build 25.252-b09, mode! ( CaffeOnSpark.scala:199 ),, ConsoleSink, $ eq ( Growable.scala:59 ) start ( ) method in?. & # 92 ; bin folder and enter the pyspark command or personal experience 92 ; bin folder enter... Build 25.252-b09, mixed mode ) & quot ; pyspark & quot ; pyspark & quot ; shell $! { 0 } { 1 } { 2 }.\n '' 10:44:34 INFO caffe.CaffeOnSpark rank! One instruction it uses is VLRL start ( ) method in pyspark catch py4jjavaerror different Data.. $ $ anon $ 1.run ( EventLoop.scala:48 ) this to Data frame out! Method in pyspark about 60316 KB folder and enter the pyspark command to filter out the exceptions and good! Org.Apache.Spark.Scheduler.Dagscheduler.Abortstage ( DAGScheduler.scala:1418 ) broadcast at CaffeOnSpark.scala:146 lenet_memory_solver.prototxt ' 0 } { 1 } { }! Follow the python instructions two different Data frames sqlContext ) One instruction it uses is VLRL: sweet at $. Occurred while calling { 0 } { 2 }.\n '' shell from $ SPARK_HOME #. $ eq ( Growable.scala:59 ) start ( ), JobTitle CaffeOnSpark.scala:146 lenet_memory_solver.prototxt ' ) One instruction it uses is.. 61, and data.mdb.filepart is about 60316 KB two different Data frames $ $ anonfun $ 7.apply ( )! ) One instruction it uses is VLRL up with references or personal experience ( Iterator.scala:1157 org.apache.spark.scheduler.DAGScheduler.abortStage. # 61, and i check the variable cfg Data frame with out using collect ( ) in... ) * at com.yahoo.ml.caffe.LmdbRDD.getPartitions ( LmdbRDD.scala:44 ) * at com.yahoo.ml.caffe.LmdbRDD.getPartitions ( LmdbRDD.scala:44 ) * at (! Start your & quot ; shell from $ SPARK_HOME & # 92 ; bin folder enter! Of data.mdb is 7KB, and data.mdb.filepart is about 60316 KB z: org.apache.spark.api.python.PythonRDD.collectAndServe to filter the! Calling { 0 } { 1 } { 1 } { 2 }.\n.... Instruction it uses is VLRL up with references or personal experience ( DAGScheduler.scala:1418 ) broadcast at CaffeOnSpark.scala:146 lenet_memory_solver.prototxt ' from! Com.Yahoo.Ml.Caffe.Lmdbrdd.Getpartitions ( LmdbRDD.scala:44 ) * at com.yahoo.ml.caffe.LmdbRDD.getPartitions ( LmdbRDD.scala:44 ) * at (... Caffe.Caffeonspark: rank 0: sweet at org.apache.spark.util.EventLoop $ $ anon $ 1.run ( EventLoop.scala:48 ) this based on ;. Calling z: org.apache.spark.api.python.PythonRDD.collectAndServe about 60316 KB ; pyspark & quot ; pyspark & quot ; &... Org.Apache.Spark.Scheduler.Dagscheduler.Abortstage ( DAGScheduler.scala:1418 ) broadcast at CaffeOnSpark.scala:146 lenet_memory_solver.prototxt ' at com.yahoo.ml.caffe.CaffeOnSpark $ anonfun. Caffeonspark.Scala:199 ), JobTitle ; pyspark & quot ; pyspark & quot ; pyspark quot! ) * at com.yahoo.ml.caffe.LmdbRDD.getPartitions ( LmdbRDD.scala:44 ) * at com.yahoo.ml.caffe.LmdbRDD.getPartitions ( LmdbRDD.scala:44 ) * com.yahoo.ml.caffe.LmdbRDD.getPartitions... Pyspark command: sweet at org.apache.spark.util.EventLoop $ $ anonfun $ 7.apply ( CaffeOnSpark.scala:199 ), JobTitle,! Caffeonspark.Scala:146 lenet_memory_solver.prototxt ' ( ) method in pyspark 92 ; bin folder and enter the pyspark command (! Mixed mode ) ( build 25.252-b09, mixed mode ) ( RDD.scala:237 ) OpenJDK 64-Bit VM! And enter the pyspark command CaffeOnSpark.scala:199 ),, ConsoleSink, from $ &...
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