try hdfs://name001:9000/carbondata/sample.csv Instead of hdfs:///name001:9000/carbondata/sample.csv
发自我的 iPhone > 在 2016年10月20日，上午10:52，仲景武 <[email protected]> 写道： > > > when run command (thrift sever): > > jdbc:hive2://taonongyuan.com<http://taonongyuan.com/>:10099/default> load > data inpath 'hdfs://name001:9000/carbondata/sample.csv' into table > test_table3; > > > throw exception: > > Driver stacktrace: (state=,code=0) > 0: jdbc:hive2://taonongyuan.com<http://taonongyuan.com/>:10099/default> load > data inpath 'hdfs:///name001:9000/carbondata/sample.csv' into table > test_table3; > Error: java.lang.IllegalArgumentException: Pathname > /name001:9000/carbondata/sample.csv from > hdfs:/name001:9000/carbondata/sample.csv is not a valid DFS filename. > (state=,code=0) > 0: jdbc:hive2://taonongyuan.com<http://taonongyuan.com/>:10099/default> load > data inpath 'hdfs://name001:9000/carbondata/sample.csv' into table > test_table3; > Error: org.apache.spark.SparkException: Job aborted due to stage failure: > Task 0 in stage 5.0 failed 4 times, most recent failure: Lost task 0.3 in > stage 5.0 (TID 18, data002): java.lang.IllegalArgumentException: Wrong FS: > hdfs://name001:9000/user/hive/warehouse/carbon.store/default/test_table3/Metadata/fdd8c8c4-5cdd-4542-aab1-785be20b9f36.dictmeta, > expected: file:/// > at org.apache.hadoop.fs.FileSystem.checkPath(FileSystem.java:645) > at > org.apache.hadoop.fs.RawLocalFileSystem.pathToFile(RawLocalFileSystem.java:80) > at > org.apache.hadoop.fs.RawLocalFileSystem.deprecatedGetFileStatus(RawLocalFileSystem.java:529) > at > org.apache.hadoop.fs.RawLocalFileSystem.getFileLinkStatusInternal(RawLocalFileSystem.java:747) > at > org.apache.hadoop.fs.RawLocalFileSystem.getFileStatus(RawLocalFileSystem.java:524) > at > org.apache.hadoop.fs.FilterFileSystem.getFileStatus(FilterFileSystem.java:409) > at > org.apache.hadoop.fs.ChecksumFileSystem$ChecksumFSInputChecker.<init>(ChecksumFileSystem.java:140) > at org.apache.hadoop.fs.ChecksumFileSystem.open(ChecksumFileSystem.java:341) > at > org.apache.carbondata.core.datastorage.store.impl.FileFactory.getDataInputStream(FileFactory.java:146) > at org.apache.carbondata.core.reader.ThriftReader.open(ThriftReader.java:79) > at > org.apache.carbondata.core.reader.CarbonDictionaryMetadataReaderImpl.openThriftReader(CarbonDictionaryMetadataReaderImpl.java:181) > at > org.apache.carbondata.core.reader.CarbonDictionaryMetadataReaderImpl.readLastEntryOfDictionaryMetaChunk(CarbonDictionaryMetadataReaderImpl.java:128) > at > org.apache.carbondata.core.cache.dictionary.AbstractDictionaryCache.readLastChunkFromDictionaryMetadataFile(AbstractDictionaryCache.java:129) > at > org.apache.carbondata.core.cache.dictionary.AbstractDictionaryCache.checkAndLoadDictionaryData(AbstractDictionaryCache.java:204) > at > org.apache.carbondata.core.cache.dictionary.ReverseDictionaryCache.getDictionary(ReverseDictionaryCache.java:181) > at > org.apache.carbondata.core.cache.dictionary.ReverseDictionaryCache.get(ReverseDictionaryCache.java:69) > at > org.apache.carbondata.core.cache.dictionary.ReverseDictionaryCache.get(ReverseDictionaryCache.java:40) > at > org.apache.carbondata.spark.load.CarbonLoaderUtil.getDictionary(CarbonLoaderUtil.java:508) > at > org.apache.carbondata.spark.load.CarbonLoaderUtil.getDictionary(CarbonLoaderUtil.java:514) > at > org.apache.carbondata.spark.rdd.CarbonGlobalDictionaryGenerateRDD$$anon$1.<init>(CarbonGlobalDictionaryRDD.scala:362) > at > org.apache.carbondata.spark.rdd.CarbonGlobalDictionaryGenerateRDD.compute(CarbonGlobalDictionaryRDD.scala:293) > at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:306) > at org.apache.spark.rdd.RDD.iterator(RDD.scala:270) > at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:66) > at org.apache.spark.scheduler.Task.run(Task.scala:89) > at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:227) > at > java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145) > at > java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615) > at java.lang.Thread.run(Thread.java:745) > > > > 在 2016年10月19日，下午4:55，仲景武 > <[email protected]<mailto:[email protected]>> 写道： > > > hi， all > > I have installed carbonate succeed following the document > “https://cwiki.apache.org/confluence/display/CARBONDATA/“<https://cwiki.apache.org/confluence/display/CARBONDATA/%E2%80%9C> > > but when load data into carbonate table throws exception: > > > run command: > cc.sql("load data local inpath '../carbondata/sample.csv' into table > test_table") > > errors: > > org.apache.hadoop.mapreduce.lib.input.InvalidInputException: Input path does > not exist: /home/bigdata/bigdata/carbondata/sample.csv > at > org.apache.hadoop.mapreduce.lib.input.FileInputFormat.singleThreadedListStatus(FileInputFormat.java:321) > at > org.apache.hadoop.mapreduce.lib.input.FileInputFormat.listStatus(FileInputFormat.java:264) > at > org.apache.hadoop.mapreduce.lib.input.FileInputFormat.getSplits(FileInputFormat.java:385) > at org.apache.spark.rdd.NewHadoopRDD.getPartitions(NewHadoopRDD.scala:120) > at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:239) > at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:237) > at scala.Option.getOrElse(Option.scala:120) > at org.apache.spark.rdd.RDD.partitions(RDD.scala:237) > at > org.apache.spark.rdd.MapPartitionsRDD.getPartitions(MapPartitionsRDD.scala:35) > at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:239) > at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:237) > at scala.Option.getOrElse(Option.scala:120) > at org.apache.spark.rdd.RDD.partitions(RDD.scala:237) > at org.apache.spark.rdd.RDD$$anonfun$take$1.apply(RDD.scala:1307) > at > org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:150) > at > org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:111) > at org.apache.spark.rdd.RDD.withScope(RDD.scala:316) > at org.apache.spark.rdd.RDD.take(RDD.scala:1302) > at > com.databricks.spark.csv.CarbonCsvRelation.firstLine$lzycompute(CarbonCsvRelation.scala:181) > at > com.databricks.spark.csv.CarbonCsvRelation.firstLine(CarbonCsvRelation.scala:176) > at > com.databricks.spark.csv.CarbonCsvRelation.inferSchema(CarbonCsvRelation.scala:144) > at > com.databricks.spark.csv.CarbonCsvRelation.<init>(CarbonCsvRelation.scala:74) > at > com.databricks.spark.csv.newapi.DefaultSource.createRelation(DefaultSource.scala:142) > at > com.databricks.spark.csv.newapi.DefaultSource.createRelation(DefaultSource.scala:44) > at > org.apache.spark.sql.execution.datasources.ResolvedDataSource$.apply(ResolvedDataSource.scala:158) > at org.apache.spark.sql.DataFrameReader.load(DataFrameReader.scala:119) > at org.apache.spark.sql.DataFrameReader.load(DataFrameReader.scala:109) > at > org.apache.carbondata.spark.util.GlobalDictionaryUtil$.loadDataFrame(GlobalDictionaryUtil.scala:386) > at > org.apache.carbondata.spark.util.GlobalDictionaryUtil$.generateGlobalDictionary(GlobalDictionaryUtil.scala:767) > at > org.apache.spark.sql.execution.command.LoadTable.run(carbonTableSchema.scala:1170) > at > org.apache.spark.sql.execution.ExecutedCommand.sideEffectResult$lzycompute(commands.scala:58) > at > org.apache.spark.sql.execution.ExecutedCommand.sideEffectResult(commands.scala:56) > at org.apache.spark.sql.execution.ExecutedCommand.doExecute(commands.scala:70) > at > org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$5.apply(SparkPlan.scala:132) > at > org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$5.apply(SparkPlan.scala:130) > at > org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:150) > at org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:130) > at > org.apache.spark.sql.execution.QueryExecution.toRdd$lzycompute(QueryExecution.scala:55) > at > org.apache.spark.sql.execution.QueryExecution.toRdd(QueryExecution.scala:55) > at org.apache.spark.sql.DataFrame.<init>(DataFrame.scala:145) > at org.apache.spark.sql.DataFrame.<init>(DataFrame.scala:130) > at > org.apache.carbondata.spark.rdd.CarbonDataFrameRDD.<init>(CarbonDataFrameRDD.scala:23) > at org.apache.spark.sql.CarbonContext.sql(CarbonContext.scala:137) > at > $iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:42) > at $iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:47) > at $iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:49) > at $iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:51) > at $iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:53) > at $iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:55) > at $iwC$$iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:57) > at $iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:59) > at $iwC$$iwC$$iwC$$iwC.<init>(<console>:61) > at $iwC$$iwC$$iwC.<init>(<console>:63) > at $iwC$$iwC.<init>(<console>:65) > at $iwC.<init>(<console>:67) > at <init>(<console>:69) > at .<init>(<console>:73) > 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:1065) > at org.apache.spark.repl.SparkIMain$Request.loadAndRun(SparkIMain.scala:1346) > at org.apache.spark.repl.SparkIMain.loadAndRunReq$1(SparkIMain.scala:840) > at org.apache.spark.repl.SparkIMain.interpret(SparkIMain.scala:871) > at org.apache.spark.repl.SparkIMain.interpret(SparkIMain.scala:819) > at org.apache.spark.repl.SparkILoop.reallyInterpret$1(SparkILoop.scala:857) > at > org.apache.spark.repl.SparkILoop.interpretStartingWith(SparkILoop.scala:902) > at org.apache.spark.repl.SparkILoop.command(SparkILoop.scala:814) > at org.apache.spark.repl.SparkILoop.processLine$1(SparkILoop.scala:657) > at org.apache.spark.repl.SparkILoop.innerLoop$1(SparkILoop.scala:665) > at > org.apache.spark.repl.SparkILoop.org$apache$spark$repl$SparkILoop$$loop(SparkILoop.scala:670) > at > org.apache.spark.repl.SparkILoop$$anonfun$org$apache$spark$repl$SparkILoop$$process$1.apply$mcZ$sp(SparkILoop.scala:997) > at > org.apache.spark.repl.SparkILoop$$anonfun$org$apache$spark$repl$SparkILoop$$process$1.apply(SparkILoop.scala:945) > at > org.apache.spark.repl.SparkILoop$$anonfun$org$apache$spark$repl$SparkILoop$$process$1.apply(SparkILoop.scala:945) > at > scala.tools.nsc.util.ScalaClassLoader$.savingContextLoader(ScalaClassLoader.scala:135) > at > org.apache.spark.repl.SparkILoop.org$apache$spark$repl$SparkILoop$$process(SparkILoop.scala:945) > at org.apache.spark.repl.SparkILoop.process(SparkILoop.scala:1059) > at org.apache.spark.repl.carbon.Main$.main(Main.scala:31) > at org.apache.spark.repl.carbon.Main.main(Main.scala) > at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method) > at > sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57) > at > sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43) > at java.lang.reflect.Method.invoke(Method.java:606) > at > org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:731) > at org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:181) > at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:206) > at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:121) > at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala) > > > > > cat /home/bigdata/bigdata/carbondata/sample.csv > > id,name,city,age > 1,david,shenzhen,31 > 2,eason,shenzhen,27 > 3,jarry,wuhan,35 > > > > ip:taonongyuan.com username:bigdata passwd: Zjw11763 > > this is private > <http://www.baidu.com/link?url=zuB-GJ6ONUu4xqmpd_NsR53R4f-Dwi037YBSX9Xc1DOs3kXtzG5XjyhXo7uAOcC1hfRcTaEnGZQoscjTduMloRYu-KsmdmEUPsq68db0VH3MoYCMd5IamXotlUEffF9b> > aly cents server ,you can login to debug….. > > > > regards, > 仲景武 > > > > > > 在 2016年9月27日，上午4:56，Liang Big data > <[email protected]<mailto:[email protected]>> 写道： > > Hi zhongjingwu: > > Can you put these discussions into mailing list : > [email protected]<mailto:[email protected]> > You may get more helps from mailing list. > > Regards > Liang > > 在 2016年9月26日 下午8:48，仲景武 > <[email protected]<mailto:[email protected]>>写道： > > 在 2016年9月26日，下午8:46，仲景武 > <[email protected]<mailto:[email protected]>> 写道： > > > 在 2016年9月26日，下午8:45，仲景武 > <[email protected]<mailto:[email protected]>> 写道： > > @Override > public int hashCode() { > int hashCode = 1; > > hashCode = hashCode * 8191 + min_surrogate_key; > > hashCode = hashCode * 8191 + max_surrogate_key; > > hashCode = hashCode * 8191 + > org.apache.thrift.TBaseHelper.hashCode(start_offset); > > hashCode = hashCode * 8191 + > org.apache.thrift.TBaseHelper.hashCode(end_offset); > > hashCode = hashCode * 8191 + chunk_count; > > hashCode = hashCode * 8191 + ((isSetSegment_id()) ? 131071 : 524287); > if (isSetSegment_id()) > hashCode = hashCode * 8191 + > org.apache.thrift.TBaseHelper.hashCode(segment_id); > > return hashCode; > } > > 我在源码中没有看到 org.apache.thrift.TBaseHelper.hashCode（int） 这样的重载方案啊 无法编译成功啊，什么情况？ > > <FE4BB0D35DD30805BE3BD071450C3118.jpeg> > > > > -- > > Regards > Liang > > >
