Uri, Er, yes, it is the cloneRecords, and when I said true, I meant false… Apologies for the misdirection there.
Regards, Frank Austin Nothaft [email protected] [email protected] 202-340-0466 On Feb 5, 2014, at 7:44 PM, Uri Laserson <[email protected]> wrote: > 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]
