hi, jingwu, Now, Carbon dose not support load data from local, pls put the file into HDFS and test it again.
Lionx 2016-10-19 16:55 GMT+08:00 仲景武 <zhongjin...@shhxzq.com>: > > hi， all > > I have installed carbonate succeed following the document “ > https://cwiki.apache.org/confluence/display/CARBONDATA/“ > > 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 <chenliang6...@gmail.com<mailto: > chenliang6...@gmail.com>> 写道： > > Hi zhongjingwu: > > Can you put these discussions into mailing list : > dev@carbondata.incubator.apache.org<mailto:dev@ > carbondata.incubator.apache.org> > You may get more helps from mailing list. > > Regards > Liang > > 在 2016年9月26日 下午8:48，仲景武 <zhongjin...@shhxzq.com<mailto: > zhongjin...@shhxzq.com>>写道： > > 在 2016年9月26日，下午8:46，仲景武 <zhongjin...@shhxzq.com<mailto: > zhongjin...@shhxzq.com>> 写道： > > > 在 2016年9月26日，下午8:45，仲景武 <zhongjin...@shhxzq.com<mailto: > zhongjin...@shhxzq.com>> 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 > >
