Re: load data error

Mon, 01 Aug 2016 19:54:32 -0700 

WARN  02-08 18:37:46,529 - Lost task 1.0 in stage 6.0 (TID 20, master): 
org.carbondata.processing.graphgenerator.GraphGeneratorException:
Error While Initializing the Kettel Engine
        at 
org.carbondata.processing.graphgenerator.GraphGenerator.validateAndInitialiseKettelEngine(GraphGenerator.java:309)
        at 
org.carbondata.processing.graphgenerator.GraphGenerator.generateGraph(GraphGenerator.java:278)
        at 
org.carbondata.spark.load.CarbonLoaderUtil.generateGraph(CarbonLoaderUtil.java:118)
        at 
org.carbondata.spark.load.CarbonLoaderUtil.executeGraph(CarbonLoaderUtil.java:173)
        at 
org.carbondata.spark.rdd.CarbonDataLoadRDD$$anon$1.<init>(CarbonDataLoadRDD.scala:196)
        at 
org.carbondata.spark.rdd.CarbonDataLoadRDD.compute(CarbonDataLoadRDD.scala:155)
        at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:306)
        at org.apache.spark.rdd.RDD.iterator(RDD.scala:270)
        at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:66)
        at org.apache.spark.scheduler.Task.run(Task.scala:89)
        at org.apache.spark.executor.Executor$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)
Caused by: org.pentaho.di.core.exception.KettleException:
Unable to read file 
'/opt/incubator-carbondata/processing/carbonplugins/.kettle/kettle.properties'
/opt/incubator-carbondata/processing/carbonplugins/.kettle/kettle.properties 
(No such file or directory)

        at org.pentaho.di.core.util.EnvUtil.readProperties(EnvUtil.java:65)
        at org.pentaho.di.core.util.EnvUtil.environmentInit(EnvUtil.java:95)
        at 
org.carbondata.processing.graphgenerator.GraphGenerator.validateAndInitialiseKettelEngine(GraphGenerator.java:303)
        ... 13 more
Caused by: java.io.FileNotFoundException: 
/opt/incubator-carbondata/processing/carbonplugins/.kettle/kettle.properties 
(No such file or directory)
        at java.io.FileInputStream.open(Native Method)
        at java.io.FileInputStream.<init>(FileInputStream.java:146)
        at java.io.FileInputStream.<init>(FileInputStream.java:101)
        at org.pentaho.di.core.util.EnvUtil.readProperties(EnvUtil.java:60)
        ... 15 more


在 2016/8/1 11:04, 金铸 写道:

[hadoop@master ~]$ hadoop fs -cat /opt/incubator-carbondata/sample.csv
16/08/01 18:11:00 WARN util.NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable 
id,name,city,age
1,david,shenzhen,31
2,eason,shenzhen,27
3,jarry,wuhan,35
[hadoop@master ~]$

spark-sql> load data inpath '../sample.csv' into table test_table;
INFO 01-08 18:19:08,914 - Job 7 finished: collect at CarbonDataRDDFactory.scala:731, took 0.088371 s 
INFO  01-08 18:19:08,915 - ********starting clean up**********
INFO  01-08 18:19:08,915 - ********clean up done**********
AUDIT 01-08 18:19:08,915 - [master][hadoop][Thread-1]Data load is failed for default.test_table INFO 01-08 18:19:08,915 - task runtime:(count: 2, mean: 58.000000, stdev: 20.000000, max: 78.000000, min: 38.000000) INFO 01-08 18:19:08,915 - 0% 5% 10% 25% 50% 75% 90% 95% 100% INFO 01-08 18:19:08,915 - 38.0 ms 38.0 ms 38.0 ms 38.0 ms 78.0 ms 78.0 ms 78.0 ms 78.0 ms 78.0 ms INFO 01-08 18:19:08,916 - task result size:(count: 2, mean: 948.000000, stdev: 0.000000, max: 948.000000, min: 948.000000) INFO 01-08 18:19:08,916 - 0% 5% 10% 25% 50% 75% 90% 95% 100% INFO 01-08 18:19:08,916 - 948.0 B 948.0 B 948.0 B 948.0 B 948.0 B 948.0 B 948.0 B 948.0 B 948.0 B 
WARN  01-08 18:19:08,915 - Unable to write load metadata file
ERROR 01-08 18:19:08,917 - main
java.lang.Exception: Dataload failure
at org.carbondata.spark.rdd.CarbonDataRDDFactory$.loadCarbonData(CarbonDataRDDFactory.scala:791) at org.apache.spark.sql.execution.command.LoadTable.run(carbonTableSchema.scala:1161) at org.apache.spark.sql.execution.ExecutedCommand.sideEffectResult$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$lzycompute(QueryExecution.scala:55) at org.apache.spark.sql.execution.QueryExecution.toRdd(QueryExecution.scala:55) 
    at org.apache.spark.sql.DataFrame.<init>(DataFrame.scala:145)
    at org.apache.spark.sql.DataFrame.<init>(DataFrame.scala:130)
at org.carbondata.spark.rdd.CarbonDataFrameRDD.<init>(CarbonDataFrameRDD.scala:23) 
    at org.apache.spark.sql.CarbonContext.sql(CarbonContext.scala:131)
at org.apache.spark.sql.hive.thriftserver.SparkSQLDriver.run(SparkSQLDriver.scala:63) at org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver.processCmd(SparkSQLCLIDriver.scala:311) at org.apache.hadoop.hive.cli.CliDriver.processLine(CliDriver.java:376) at org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver$.main(SparkSQLCLIDriver.scala:226) at org.apache.spark.sql.hive.cli.CarbonSQLCLIDriver$.main(CarbonSQLCLIDriver.scala:40) at org.apache.spark.sql.hive.cli.CarbonSQLCLIDriver.main(CarbonSQLCLIDriver.scala) 
    at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57) at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43) 
    at java.lang.reflect.Method.invoke(Method.java:606)
at org.apache.spark.deploy.SparkSubmit$.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)


Thanks & Regards,


金铸


在 2016/7/31 11:32, Ravindra Pesala 写道:

Hi,
Exception says input path '/opt/incubator-carbondata/sample.csv' does not 
exist. So please make sure following things,
1. Whether the the sample.csv file is present in the location  '
/opt/incubator-carbondata/'
2. Are you running the Spark in local mode or cluster mode.(If it is
running in cluster mode please keep the csv file in hdfs.)
3. Please try to keep the csv file in hdfs and load the data.

Thanks & Regards,
Ravindra

On 31 July 2016 at 07:37, 金铸 <[email protected]> wrote:


hi Liang：

        Thanks your repay。

        I have already used the “/opt/incubator-carbondata/sample.csv”
，Reported the same error。



在 2016/7/30 22:44, Liang Big data 写道:


Hi jinzhu金铸:


please check the below error:the input path having some issues.
Please use the absolute path to try it again.
-----------------------------------------------
ERROR 29-07 16:39:46,904 - main
org.apache.hadoop.mapreduce.lib.input.InvalidInputException: Input path 
does not exist: /opt/incubator-carbondata/sample.csv

Regards
Liang

2016-07-29 8:47 GMT+08:00 金铸 <[email protected]>:

[hadoop@slave2 ~]$ cat /opt/incubator-carbondata/sample.csv

id,name,city,age
1,david,shenzhen,31
2,eason,shenzhen,27
3,jarry,wuhan,35
[hadoop@slave2 ~]$

     > load data inpath '../sample.csv' into table test_table;
INFO  29-07 16:39:46,087 - main Property file path:
/opt/incubator-carbondata/bin/../../../conf/carbon.properties
INFO 29-07 16:39:46,087 - main ------Using Carbon.properties -------- 
INFO  29-07 16:39:46,087 - main {}
INFO 29-07 16:39:46,088 - main Query [LOAD DATA INPATH '../SAMPLE.CSV' 
INTO TABLE TEST_TABLE]
INFO 29-07 16:39:46,527 - Successfully able to get the table metadata 
file lock
INFO 29-07 16:39:46,537 - main Initiating Direct Load for the Table : 
(default.test_table)
INFO 29-07 16:39:46,541 - Generate global dictionary from source data 
files!
INFO  29-07 16:39:46,569 - [Block Distribution]
INFO  29-07 16:39:46,569 - totalInputSpaceConsumed : 74 ,
defaultParallelism : 6
INFO 29-07 16:39:46,569 - mapreduce.input.fileinputformat.split.maxsize 
:
16777216
INFO 29-07 16:39:46,689 - Block broadcast_0 stored as values in memory 
(estimated size 232.6 KB, free 232.6 KB)
INFO 29-07 16:39:46,849 - Block broadcast_0_piece0 stored as bytes in 
memory (estimated size 19.7 KB, free 252.3 KB)
INFO  29-07 16:39:46,850 - Added broadcast_0_piece0 in memory on
192.168.241.223:41572 (size: 19.7 KB, free: 511.5 MB)
INFO  29-07 16:39:46,856 - Created broadcast 0 from NewHadoopRDD at
CarbonTextFile.scala:45
ERROR 29-07 16:39:46,904 - generate global dictionary failed
ERROR 29-07 16:39:46,904 - main
org.apache.hadoop.mapreduce.lib.input.InvalidInputException: Input path 
does not exist: /opt/incubator-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$$anonfun$take$1.apply(RDD.scala:1307) 
      at
org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:150) 
      at
org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:111) 
      at org.apache.spark.rdd.RDD.withScope(RDD.scala:316)
      at org.apache.spark.rdd.RDD.take(RDD.scala:1302)
      at
com.databricks.spark.csv.CarbonCsvRelation.firstLine$lzycompute(CarbonCsvRelation.scala:175) 
      at
com.databricks.spark.csv.CarbonCsvRelation.firstLine(CarbonCsvRelation.scala:170) 
      at
com.databricks.spark.csv.CarbonCsvRelation.inferSchema(CarbonCsvRelation.scala:141) 
      at
com.databricks.spark.csv.CarbonCsvRelation.<init>(CarbonCsvRelation.scala:71) 
      at
com.databricks.spark.csv.newapi.DefaultSource.createRelation(DefaultSource.scala:142) 
      at
com.databricks.spark.csv.newapi.DefaultSource.createRelation(DefaultSource.scala:44) 
      at
org.apache.spark.sql.execution.datasources.ResolvedDataSource$.apply(ResolvedDataSource.scala:158) 
      at
org.apache.spark.sql.DataFrameReader.load(DataFrameReader.scala:119)
      at
org.apache.spark.sql.DataFrameReader.load(DataFrameReader.scala:109)
      at
org.carbondata.spark.util.GlobalDictionaryUtil$.loadDataFrame(GlobalDictionaryUtil.scala:365) 
      at
org.carbondata.spark.util.GlobalDictionaryUtil$.generateGlobalDictionary(GlobalDictionaryUtil.scala:676) 
      at
org.apache.spark.sql.execution.command.LoadTable.run(carbonTableSchema.scala:1159) 
      at
org.apache.spark.sql.execution.ExecutedCommand.sideEffectResult$lzycompute(commands.scala:58) 
      at
org.apache.spark.sql.execution.ExecutedCommand.sideEffectResult(commands.scala:56) 
      at
org.apache.spark.sql.execution.ExecutedCommand.doExecute(commands.scala:70) 
      at
org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$5.apply(SparkPlan.scala:132) 
      at
org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$5.apply(SparkPlan.scala:130) 
      at
org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:150) 
      at
org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:130)
      at
org.apache.spark.sql.execution.QueryExecution.toRdd$lzycompute(QueryExecution.scala:55) 
      at
org.apache.spark.sql.execution.QueryExecution.toRdd(QueryExecution.scala:55) 
      at org.apache.spark.sql.DataFrame.<init>(DataFrame.scala:145)
      at org.apache.spark.sql.DataFrame.<init>(DataFrame.scala:130)
      at
org.carbondata.spark.rdd.CarbonDataFrameRDD.<init>(CarbonDataFrameRDD.scala:23) at org.apache.spark.sql.CarbonContext.sql(CarbonContext.scala:131) 
      at
org.apache.spark.sql.hive.thriftserver.SparkSQLDriver.run(SparkSQLDriver.scala:63) 
      at
org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver.processCmd(SparkSQLCLIDriver.scala:311) 
      at
org.apache.hadoop.hive.cli.CliDriver.processLine(CliDriver.java:376)
      at
org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver$.main(SparkSQLCLIDriver.scala:226) 
      at
org.apache.spark.sql.hive.cli.CarbonSQLCLIDriver$.main(CarbonSQLCLIDriver.scala:40) 
      at
org.apache.spark.sql.hive.cli.CarbonSQLCLIDriver.main(CarbonSQLCLIDriver.scala) 
      at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
      at
sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57) 
      at
sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43) 
      at java.lang.reflect.Method.invoke(Method.java:606)
      at
org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$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)

--
金铸
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金铸
技术发展部（TDD）
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