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From "xujie (JIRA)" <j...@apache.org>
Subject [jira] [Closed] (CARBONDATA-1630) load data into hive table fail
Date Fri, 27 Oct 2017 10:21:02 GMT

     [ https://issues.apache.org/jira/browse/CARBONDATA-1630?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

xujie closed CARBONDATA-1630.
-----------------------------
    Resolution: Fixed

> load data into hive table fail
> ------------------------------
>
>                 Key: CARBONDATA-1630
>                 URL: https://issues.apache.org/jira/browse/CARBONDATA-1630
>             Project: CarbonData
>          Issue Type: Bug
>          Components: hive-integration
>    Affects Versions: 1.2.0
>         Environment: hive.version:1.1.0-cdh5.10.0
> hadoop:version:2.6.0-cdh5.10.0
>            Reporter: xujie
>            Priority: Critical
>
> import org.apache.spark.sql.SparkSession
> import org.apache.spark.sql.CarbonSession._
> val rootPath = "hdfs://namenodeb:8020/app/carbondata"
> val storeLocation = s"$rootPath/store"
> val warehouse = s"$rootPath/warehouse"
> val metastoredb = s"$rootPath/metastore_db"
> val carbon = SparkSession.builder().enableHiveSupport().config("spark.sql.warehouse.dir",
warehouse).config(org.apache.carbondata.core.constants.CarbonCommonConstants.STORE_LOCATION,
storeLocation).getOrCreateCarbonSession(storeLocation, metastoredb)
> import org.apache.spark.sql.types._
> import org.apache.spark.sql.Row
> val rdd = sc.textFile("/data/home/hadoop/test.txt");
> val schemaString = "id name city"
> val fields = schemaString.split(" ").map(fieldName => StructField(fieldName, StringType,
nullable = true))
> val schema = StructType(fields)
> val rowRDD = rdd.map(_.split(",")).map(attributes => Row(attributes(0),attributes(1),attributes(2)))
> val peopleDF = spark.createDataFrame(rowRDD, schema)
> peopleDF.createOrReplaceTempView("tmp_table")
> spark.sql("insert into target_table SELECT * FROM tmp_table")
> java.lang.RuntimeException: Failed to add entry in table status for default.target_table
>   at scala.sys.package$.error(package.scala:27)
>   at org.apache.carbondata.spark.util.CommonUtil$.readAndUpdateLoadProgressInTableMeta(CommonUtil.scala:533)
>   at org.apache.spark.sql.execution.command.LoadTable.processData(carbonTableSchema.scala:928)
>   at org.apache.spark.sql.execution.command.LoadTable.run(carbonTableSchema.scala:754)
>   at org.apache.spark.sql.execution.command.LoadTableByInsert.processData(carbonTableSchema.scala:651)
>   at org.apache.spark.sql.execution.command.LoadTableByInsert.run(carbonTableSchema.scala:637)
>   at org.apache.spark.sql.CarbonDatasourceHadoopRelation.insert(CarbonDatasourceHadoopRelation.scala:98)
>   at org.apache.spark.sql.execution.datasources.InsertIntoDataSourceCommand.run(InsertIntoDataSourceCommand.scala:43)
>   at org.apache.spark.sql.execution.command.ExecutedCommandExec.sideEffectResult$lzycompute(commands.scala:58)
>   at org.apache.spark.sql.execution.command.ExecutedCommandExec.sideEffectResult(commands.scala:56)
>   at org.apache.spark.sql.execution.command.ExecutedCommandExec.doExecute(commands.scala:74)
>   at org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$1.apply(SparkPlan.scala:114)
>   at org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$1.apply(SparkPlan.scala:114)
>   at org.apache.spark.sql.execution.SparkPlan$$anonfun$executeQuery$1.apply(SparkPlan.scala:135)
>   at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
>   at org.apache.spark.sql.execution.SparkPlan.executeQuery(SparkPlan.scala:132)
>   at org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:113)
>   at org.apache.spark.sql.execution.QueryExecution.toRdd$lzycompute(QueryExecution.scala:92)
>   at org.apache.spark.sql.execution.QueryExecution.toRdd(QueryExecution.scala:92)
>   at org.apache.spark.sql.Dataset.<init>(Dataset.scala:185)
>   at org.apache.spark.sql.Dataset$.ofRows(Dataset.scala:64)
>   at org.apache.spark.sql.SparkSession.sql(SparkSession.scala:592)
>   ... 52 elided



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