yes, I resolved this problem by deleting the old carbon metastore. 2016-08-27 0:18 GMT+08:00 Ravindra Pesala <ravi.pes...@gmail.com>:
> Hi William, > > It may be because you are using old carbon store. Please try using new > store path. There were changes in thrift so old store won't work on this > release. > > Thanks & Regards, > Ravi > > On 26 August 2016 at 21:05, Zen Wellon <ustc...@gmail.com> wrote: > > > Hi, guys > > > > Congratulations for the first stable version ! > > Today I heard that 0.0.1 was released and build a fresh jar for my spark > > cluster. But when I try to create a new table, an Exception occured, > anyone > > could help? > > > > below is the full stack: > > > > INFO 26-08 23:23:46,062 - Parsing command: create table if not exists > > carbondata_001_release_test(......) > > INFO 26-08 23:23:46,086 - Parse Completed > > java.io.IOException: org.apache.thrift.protocol.TProtocolException: > > Required field 'fact_table' was not present! Struct: > > TableInfo(fact_table:null, aggregate_table_list:null) > > at > > org.apache.carbondata.core.reader.ThriftReader.read( > ThriftReader.java:110) > > at > > org.apache.spark.sql.hive.CarbonMetastoreCatalog$$ > anonfun$fillMetaData$1$$ > > anonfun$apply$1.apply(CarbonMetastoreCatalog.scala:216) > > at > > org.apache.spark.sql.hive.CarbonMetastoreCatalog$$ > anonfun$fillMetaData$1$$ > > anonfun$apply$1.apply(CarbonMetastoreCatalog.scala:196) > > at > > scala.collection.IndexedSeqOptimized$class.foreach(IndexedSeqOptimized. > > scala:33) > > at > > scala.collection.mutable.ArrayOps$ofRef.foreach(ArrayOps.scala:108) > > at > > org.apache.spark.sql.hive.CarbonMetastoreCatalog$$ > > anonfun$fillMetaData$1.apply(CarbonMetastoreCatalog.scala:196) > > at > > org.apache.spark.sql.hive.CarbonMetastoreCatalog$$ > > anonfun$fillMetaData$1.apply(CarbonMetastoreCatalog.scala:191) > > at > > scala.collection.IndexedSeqOptimized$class.foreach(IndexedSeqOptimized. > > scala:33) > > at > > scala.collection.mutable.ArrayOps$ofRef.foreach(ArrayOps.scala:108) > > at > > org.apache.spark.sql.hive.CarbonMetastoreCatalog.fillMetaData( > > CarbonMetastoreCatalog.scala:191) > > at > > org.apache.spark.sql.hive.CarbonMetastoreCatalog.loadMetadata( > > CarbonMetastoreCatalog.scala:177) > > at > > org.apache.spark.sql.hive.CarbonMetastoreCatalog.<init>( > > CarbonMetastoreCatalog.scala:112) > > at > > org.apache.spark.sql.CarbonContext$$anon$1.<init>( > CarbonContext.scala:70) > > at > > org.apache.spark.sql.CarbonContext.catalog$lzycompute(CarbonContext. > > scala:70) > > at > > org.apache.spark.sql.CarbonContext.catalog(CarbonContext.scala:67) > > at > > org.apache.spark.sql.CarbonContext$$anon$2.<init>( > CarbonContext.scala:75) > > at > > org.apache.spark.sql.CarbonContext.analyzer$lzycompute(CarbonContext. > > scala:75) > > at > > org.apache.spark.sql.CarbonContext.analyzer(CarbonContext.scala:74) > > at > > org.apache.spark.sql.execution.QueryExecution. > > assertAnalyzed(QueryExecution.scala:34) > > at org.apache.spark.sql.DataFrame.<init>(DataFrame.scala:133) > > at > > org.apache.carbondata.spark.rdd.CarbonDataFrameRDD.<init>( > > CarbonDataFrameRDD.scala:23) > > at org.apache.spark.sql.CarbonContext.sql( > CarbonContext.scala:130) > > at $iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:35) > > at $iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:40) > > at $iwC$$iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:42) > > at $iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:44) > > at $iwC$$iwC$$iwC$$iwC.<init>(<console>:46) > > at $iwC$$iwC$$iwC.<init>(<console>:48) > > at $iwC$$iwC.<init>(<console>:50) > > at $iwC.<init>(<console>:52) > > at <init>(<console>:54) > > at .<init>(<console>:58) > > 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.Main$.main(Main.scala:31) > > at org.apache.spark.repl.Main.main(Main.scala) > > at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method) > > at > > sun.reflect.NativeMethodAccessorImpl.invoke( > NativeMethodAccessorImpl.java: > > 57) > > at > > sun.reflect.DelegatingMethodAccessorImpl.invoke( > > DelegatingMethodAccessorImpl.java:43) > > at java.lang.reflect.Method.invoke(Method.java:606) > > at > > org.apache.spark.deploy.SparkSubmit$.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$.main(SparkSubmit. > > scala:121) > > at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala) > > Caused by: org.apache.thrift.protocol.TProtocolException: Required field > > 'fact_table' was not present! Struct: TableInfo(fact_table:null, > > aggregate_table_list:null) > > at > > org.apache.carbondata.format.TableInfo.validate(TableInfo.java:397) > > at > > org.apache.carbondata.format.TableInfo$TableInfoStandardScheme.read( > > TableInfo.java:478) > > at > > org.apache.carbondata.format.TableInfo$TableInfoStandardScheme.read( > > TableInfo.java:430) > > at org.apache.carbondata.format.TableInfo.read(TableInfo.java: > 363) > > at > > org.apache.carbondata.core.reader.ThriftReader.read( > ThriftReader.java:108) > > ... 67 more > > > > -- > > > > > > Best regards, > > William Zen > > > > > > -- > Thanks & Regards, > Ravi > -- Best regards, William Zen
