My spark is 0.9.0-SNAPSHOT, built from wherever master was at the time (like a week or two ago).
If you're referring to the cloneRecords parameter, it appears to default to true, but even when I add it explicitly, I get the same error. On Wed, Feb 5, 2014 at 7:17 PM, Frank Austin Nothaft <[email protected]>wrote: > Uri, > > Which version of Spark are you running? If it is >0.9.0, you need to add > an optional true argument at the end of the sc.newApiHadoopFile(…) call to > read Parquet data. > > Regards, > > Frank Austin Nothaft > [email protected] > [email protected] > 202-340-0466 > > On Feb 5, 2014, at 7:14 PM, Uri Laserson <[email protected]> wrote: > > I am cross-posting on the parquet mailing list. Short recap: I am trying > to read Parquet data from the spark interactive shell. > > I have added all the necessary parquet jars to SPARK_CLASSPATH: > > export > SPARK_CLASSPATH="/Users/laserson/repos/parquet-mr/parquet-avro/target/parquet-avro-1.3.3-SNAPSHOT.jar:/Users/laserson/repos/parquet-mr/parquet-hadoop/target/parquet-hadoop-1.3.3-SNAPSHOT.jar:/Users/laserson/repos/parquet-mr/parquet-common/target/parquet-common-1.3.3-SNAPSHOT.jar:/Users/laserson/repos/parquet-mr/parquet-column/target/parquet-column-1.3.3-SNAPSHOT.jar:/Users/laserson/repos/parquet-format/target/parquet-format-2.0.1-SNAPSHOT.jar:/Users/laserson/repos/parquet-mr/parquet-jackson/target/parquet-jackson-1.3.3-SNAPSHOT.jar" > > From the spark-shell, I run: > > val job = new Job(sc.hadoopConfiguration) > ParquetInputFormat.setReadSupportClass(job, > classOf[AvroReadSupport[GenericRecord]]) > val records1 = > sc.newAPIHadoopFile("/Users/laserson/temp/test-parquet/alltypeuri", > classOf[ParquetInputFormat[GenericRecord]], classOf[Void], > classOf[GenericRecord], job.getConfiguration) > > Then I try > > records1.count > > Which gives the following error: > > 14/02/05 18:42:22 ERROR Executor: Exception in task ID 1 > java.lang.NoSuchMethodError: > org.apache.avro.Schema$Field.<init>(Ljava/lang/String;Lorg/apache/avro/Schema;Ljava/lang/String;Lparquet/org/codehaus/jackson/JsonNode;)V > at > parquet.avro.AvroSchemaConverter.convertFields(AvroSchemaConverter.java:191) > at parquet.avro.AvroSchemaConverter.convert(AvroSchemaConverter.java:177) > at parquet.avro.AvroReadSupport.prepareForRead(AvroReadSupport.java:86) > at > parquet.hadoop.InternalParquetRecordReader.initialize(InternalParquetRecordReader.java:142) > at > parquet.hadoop.ParquetRecordReader.initializeInternalReader(ParquetRecordReader.java:118) > at > parquet.hadoop.ParquetRecordReader.initialize(ParquetRecordReader.java:107) > at > org.apache.spark.rdd.NewHadoopRDD$$anon$1.<init>(NewHadoopRDD.scala:106) > at org.apache.spark.rdd.NewHadoopRDD.compute(NewHadoopRDD.scala:94) > at org.apache.spark.rdd.NewHadoopRDD.compute(NewHadoopRDD.scala:57) > at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:241) > at org.apache.spark.rdd.RDD.iterator(RDD.scala:232) > at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:109) > at org.apache.spark.scheduler.Task.run(Task.scala:53) > at > org.apache.spark.executor.Executor$TaskRunner$$anonfun$run$1.apply$mcV$sp(Executor.scala:213) > at > org.apache.spark.deploy.SparkHadoopUtil.runAsUser(SparkHadoopUtil.scala:49) > at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:178) > at > java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145) > at > java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615) > at java.lang.Thread.run(Thread.java:744) > > > My hypothesis is that this a shading problem. It appears that the code is > trying to call a constructor that looks like this: > > String.Field(String, Schema, String, *parquet* > .org.codehaus.jackson.JsonNode) > > but the signature from the spark-assembly jar is > > public org.apache.avro.Schema$Field(java.lang.String, > org.apache.avro.Schema, java.lang.String, org.codehaus.jackson.JsonNode); > > Where do I go from here? > > Uri > > > > > > > > On Wed, Feb 5, 2014 at 5:02 PM, Uri Laserson <[email protected]>wrote: > >> Yep, I did not include that jar in the class path. Now I've got some >> "real" errors to try to work through. Thanks! >> >> >> On Wed, Feb 5, 2014 at 3:52 PM, Jey Kottalam <[email protected]>wrote: >> >>> Hi Uri, >>> >>> Could you try adding the parquet-jackson JAR to your classpath? There >>> may possibly be other parquet-avro dependencies that are missing too. >>> >>> http://mvnrepository.com/artifact/com.twitter/parquet-jackson/1.3.2 >>> >>> -Jey >>> >>> On Wed, Feb 5, 2014 at 3:02 PM, Uri Laserson <[email protected]> >>> wrote: >>> > Yes, of course. That class is a jackson class, and I'm not sure why >>> it's >>> > being referred to as >>> parquet.org.codehaus.jackson.JsonGenerationException. >>> > >>> > org.codehaus.jackson.JsonGenerationException is on the classpath. But >>> not >>> > when it's prefixed by parquet. >>> > >>> > >>> > On Wed, Feb 5, 2014 at 12:06 PM, Andrew Ash <[email protected]> >>> wrote: >>> >> >>> >> I'm assuming you checked all the jars in SPARK_CLASSPATH to confirm >>> that >>> >> parquet/org/codehaus/jackson/JsonGenerationException.class exists in >>> one of >>> >> them? >>> >> >>> >> >>> >> On Wed, Feb 5, 2014 at 12:02 PM, Uri Laserson <[email protected]> >>> >> wrote: >>> >>> >>> >>> Has anyone tried this? I'd like to read a bunch of Avro >>> GenericRecords >>> >>> from a Parquet file. I'm having a bit of trouble with respect to >>> >>> dependencies. My latest attempt looks like this: >>> >>> >>> >>> export >>> >>> >>> SPARK_CLASSPATH="/Users/laserson/repos/parquet-mr/parquet-avro/target/parquet-avro-1.3.3-SNAPSHOT.jar:/Users/laserson/repos/parquet-mr/parquet-hadoop/target/parquet-hadoop-1.3.3-SNAPSHOT.jar:/Users/laserson/repos/parquet-mr/parquet-common/target/parquet-common-1.3.3-SNAPSHOT.jar:/Users/laserson/repos/parquet-mr/parquet-column/target/parquet-column-1.3.3-SNAPSHOT.jar:/Users/laserson/repos/parquet-format/target/parquet-format-2.0.1-SNAPSHOT.jar" >>> >>> >>> >>> MASTER=local ~/repos/incubator-spark/bin/spark-shell >>> >>> >>> >>> Then in the shell: >>> >>> >>> >>> val records1 = >>> >>> sc.newAPIHadoopFile("/Users/laserson/temp/test-parquet/alltypeuri", >>> >>> classOf[AvroParquetInputFormat], classOf[Void], >>> classOf[IndexedRecord], >>> >>> sc.hadoopConfiguration) >>> >>> records1.collect >>> >>> >>> >>> At which point it barfs: >>> >>> >>> >>> 14/02/05 12:02:32 INFO FileInputFormat: Total input paths to process >>> : 3 >>> >>> SLF4J: Failed to load class "org.slf4j.impl.StaticLoggerBinder". >>> >>> SLF4J: Defaulting to no-operation (NOP) logger implementation >>> >>> SLF4J: See http://www.slf4j.org/codes.html#StaticLoggerBinder for >>> further >>> >>> details. >>> >>> java.io.IOException: Could not read footer: >>> >>> java.lang.NoClassDefFoundError: >>> >>> parquet/org/codehaus/jackson/JsonGenerationException >>> >>> at >>> >>> >>> parquet.hadoop.ParquetFileReader.readAllFootersInParallel(ParquetFileReader.java:189) >>> >>> at >>> >>> >>> parquet.hadoop.ParquetFileReader.readAllFootersInParallelUsingSummaryFiles(ParquetFileReader.java:145) >>> >>> at >>> >>> >>> parquet.hadoop.ParquetInputFormat.getFooters(ParquetInputFormat.java:354) >>> >>> at >>> >>> >>> parquet.hadoop.ParquetInputFormat.getFooters(ParquetInputFormat.java:339) >>> >>> at >>> >>> >>> parquet.hadoop.ParquetInputFormat.getSplits(ParquetInputFormat.java:246) >>> >>> at >>> org.apache.spark.rdd.NewHadoopRDD.getPartitions(NewHadoopRDD.scala:85) >>> >>> at >>> org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:207) >>> >>> at >>> org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:205) >>> >>> at scala.Option.getOrElse(Option.scala:120) >>> >>> at org.apache.spark.rdd.RDD.partitions(RDD.scala:205) >>> >>> at org.apache.spark.SparkContext.runJob(SparkContext.scala:863) >>> >>> at org.apache.spark.rdd.RDD.collect(RDD.scala:602) >>> >>> at $iwC$$iwC$$iwC$$iwC.<init>(<console>:20) >>> >>> at $iwC$$iwC$$iwC.<init>(<console>:25) >>> >>> at $iwC$$iwC.<init>(<console>:27) >>> >>> at $iwC.<init>(<console>:29) >>> >>> at <init>(<console>:31) >>> >>> at .<init>(<console>:35) >>> >>> at .<clinit>(<console>) >>> >>> at .<init>(<console>:7) >>> >>> at .<clinit>(<console>) >>> >>> at $print(<console>) >>> >>> at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method) >>> >>> at >>> >>> >>> sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57) >>> >>> at >>> >>> >>> sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43) >>> >>> at java.lang.reflect.Method.invoke(Method.java:606) >>> >>> at >>> >>> >>> org.apache.spark.repl.SparkIMain$ReadEvalPrint.call(SparkIMain.scala:772) >>> >>> at >>> >>> >>> org.apache.spark.repl.SparkIMain$Request.loadAndRun(SparkIMain.scala:1040) >>> >>> at >>> org.apache.spark.repl.SparkIMain.loadAndRunReq$1(SparkIMain.scala:609) >>> >>> at org.apache.spark.repl.SparkIMain.interpret(SparkIMain.scala:640) >>> >>> at org.apache.spark.repl.SparkIMain.interpret(SparkIMain.scala:604) >>> >>> at >>> >>> >>> org.apache.spark.repl.SparkILoop.reallyInterpret$1(SparkILoop.scala:788) >>> >>> at >>> >>> >>> org.apache.spark.repl.SparkILoop.interpretStartingWith(SparkILoop.scala:833) >>> >>> at org.apache.spark.repl.SparkILoop.command(SparkILoop.scala:745) >>> >>> at >>> org.apache.spark.repl.SparkILoop.processLine$1(SparkILoop.scala:593) >>> >>> at org.apache.spark.repl.SparkILoop.innerLoop$1(SparkILoop.scala:600) >>> >>> at org.apache.spark.repl.SparkILoop.loop(SparkILoop.scala:603) >>> >>> at >>> >>> >>> org.apache.spark.repl.SparkILoop$$anonfun$process$1.apply$mcZ$sp(SparkILoop.scala:926) >>> >>> at >>> >>> >>> org.apache.spark.repl.SparkILoop$$anonfun$process$1.apply(SparkILoop.scala:876) >>> >>> at >>> >>> >>> org.apache.spark.repl.SparkILoop$$anonfun$process$1.apply(SparkILoop.scala:876) >>> >>> at >>> >>> >>> scala.tools.nsc.util.ScalaClassLoader$.savingContextLoader(ScalaClassLoader.scala:135) >>> >>> at org.apache.spark.repl.SparkILoop.process(SparkILoop.scala:876) >>> >>> at org.apache.spark.repl.SparkILoop.process(SparkILoop.scala:968) >>> >>> at org.apache.spark.repl.Main$.main(Main.scala:31) >>> >>> at org.apache.spark.repl.Main.main(Main.scala) >>> >>> Caused by: java.lang.NoClassDefFoundError: >>> >>> parquet/org/codehaus/jackson/JsonGenerationException >>> >>> at >>> >>> >>> parquet.format.converter.ParquetMetadataConverter.fromParquetMetadata(ParquetMetadataConverter.java:359) >>> >>> at >>> >>> >>> parquet.format.converter.ParquetMetadataConverter.readParquetMetadata(ParquetMetadataConverter.java:312) >>> >>> at >>> >>> >>> parquet.hadoop.ParquetFileReader.readFooter(ParquetFileReader.java:295) >>> >>> at >>> parquet.hadoop.ParquetFileReader$2.call(ParquetFileReader.java:179) >>> >>> at >>> parquet.hadoop.ParquetFileReader$2.call(ParquetFileReader.java:175) >>> >>> at java.util.concurrent.FutureTask.run(FutureTask.java:262) >>> >>> at >>> >>> >>> java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145) >>> >>> at >>> >>> >>> java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615) >>> >>> at java.lang.Thread.run(Thread.java:744) >>> >>> Caused by: java.lang.ClassNotFoundException: >>> >>> parquet.org.codehaus.jackson.JsonGenerationException >>> >>> at java.net.URLClassLoader$1.run(URLClassLoader.java:366) >>> >>> at java.net.URLClassLoader$1.run(URLClassLoader.java:355) >>> >>> at java.security.AccessController.doPrivileged(Native Method) >>> >>> at java.net.URLClassLoader.findClass(URLClassLoader.java:354) >>> >>> at java.lang.ClassLoader.loadClass(ClassLoader.java:425) >>> >>> at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:308) >>> >>> at java.lang.ClassLoader.loadClass(ClassLoader.java:358) >>> >>> ... 9 more >>> >>> >>> >>> >>> >>> -- >>> >>> Uri Laserson, PhD >>> >>> Data Scientist, Cloudera >>> >>> Twitter/GitHub: @laserson >>> >>> +1 617 910 0447 >>> >>> [email protected] >>> >> >>> >> >>> > >>> > >>> > >>> > -- >>> > Uri Laserson, PhD >>> > Data Scientist, Cloudera >>> > Twitter/GitHub: @laserson >>> > +1 617 910 0447 >>> > [email protected] >>> >> >> >> >> -- >> Uri Laserson, PhD >> Data Scientist, Cloudera >> Twitter/GitHub: @laserson >> +1 617 910 0447 >> [email protected] >> > > > > -- > Uri Laserson, PhD > Data Scientist, Cloudera > Twitter/GitHub: @laserson > +1 617 910 0447 > [email protected] > > > -- > http://parquet.github.com/ > --- > You received this message because you are subscribed to the Google Groups > "Parquet" group. > To post to this group, send email to [email protected]. > -- Uri Laserson, PhD Data Scientist, Cloudera Twitter/GitHub: @laserson +1 617 910 0447 [email protected]
