[
https://issues.apache.org/jira/browse/CARBONDATA-4277?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
PURUJIT CHAUGULE updated CARBONDATA-4277:
-----------------------------------------
Priority: Major (was: Minor)
> Compatibility Issue of GeoSpatial table of CarbonData 2.1.0 in CarbonData
> 2.2.0 (Spark 2.4.5 and Spark 3.1.1)
> -------------------------------------------------------------------------------------------------------------
>
> Key: CARBONDATA-4277
> URL: https://issues.apache.org/jira/browse/CARBONDATA-4277
> Project: CarbonData
> Issue Type: Bug
> Affects Versions: 2.2.0
> Environment: Spark 2.4.5
> Spark 3.1.1
> Reporter: PURUJIT CHAUGULE
> Priority: Major
>
>
>
> *Issue 1 : Load on geospatial table from 2.1.0 table in 2.2.0(Spark 2.4.5 and
> 3.1.1) is failing*
> *STEPS:-*
> # create table in CarbonData 2.1.0 : create table
> source_index_2_1_0(TIMEVALUE BIGINT,LONGITUDE long,LATITUDE long) STORED AS
> carbondata TBLPROPERTIES
> ('SPATIAL_INDEX.mygeohash.type'='geohash','SPATIAL_INDEX.mygeohash.sourcecolumns'='longitude,
>
> latitude','SPATIAL_INDEX.mygeohash.originLatitude'='39.930753','SPATIAL_INDEX.mygeohash.gridSize'='50','SPATIAL_INDEX.mygeohash.minLongitude'='116.176090','SPATIAL_INDEX.mygeohash.maxLongitude'='116.736367','SPATIAL_INDEX.mygeohash.minLatitude'='39.930753','SPATIAL_INDEX.mygeohash.maxLatitude'='40.179415','SPATIAL_INDEX'='mygeohash','SPATIAL_INDEX.mygeohash.conversionRatio'='1000000');
> # LOAD DATA INPATH 'hdfs://hacluster/chetan/f_lcov_50basic_data.csv' INTO
> TABLE source_index_2_1_0 OPTIONS('HEADER'='true','DELIMITER'='|',
> 'QUOTECHAR'='|');
> # Take store of table the place in hdfs of CarbonData 2.2.0(Spark 2.4.5 and
> Spark 3.1.1) clusters
> # refresh table source_index_2_1_0;
> # 0: jdbc:hive2://10.21.19.14:23040/default> LOAD DATA INPATH
> 'hdfs://hacluster/chetan/f_lcov_50basic_data.csv' INTO TABLE
> source_index_2_1_0 OPTIONS('HEADER'='true','DELIMITER'='|', 'QUOTECHAR'='|');
> Error: org.apache.hive.service.cli.HiveSQLException: Error running query:
> java.lang.Exception: DataLoad failure: Data Loading failed for table
> source_index_2_1_0
> at
> org.apache.spark.sql.hive.thriftserver.SparkExecuteStatementOperation.org$apache$spark$sql$hive$thriftserver$SparkExecuteStatementOperation$$execute(SparkExecuteStatementOperation.scala:361)
> at
> org.apache.spark.sql.hive.thriftserver.SparkExecuteStatementOperation$$anon$2$$anon$3.$anonfun$run$2(SparkExecuteStatementOperation.scala:263)
> at scala.runtime.java8.JFunction0$mcV$sp.apply(JFunction0$mcV$sp.java:23)
> at
> org.apache.spark.sql.hive.thriftserver.SparkOperation.withLocalProperties(SparkOperation.scala:78)
> at
> org.apache.spark.sql.hive.thriftserver.SparkOperation.withLocalProperties$(SparkOperation.scala:62)
> at
> org.apache.spark.sql.hive.thriftserver.SparkExecuteStatementOperation.withLocalProperties(SparkExecuteStatementOperation.scala:43)
> at
> org.apache.spark.sql.hive.thriftserver.SparkExecuteStatementOperation$$anon$2$$anon$3.run(SparkExecuteStatementOperation.scala:263)
> at
> org.apache.spark.sql.hive.thriftserver.SparkExecuteStatementOperation$$anon$2$$anon$3.run(SparkExecuteStatementOperation.scala:258)
> at java.security.AccessController.doPrivileged(Native Method)
> at javax.security.auth.Subject.doAs(Subject.java:422)
> at
> org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1746)
> at
> org.apache.spark.sql.hive.thriftserver.SparkExecuteStatementOperation$$anon$2.run(SparkExecuteStatementOperation.scala:272)
> at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:511)
> at java.util.concurrent.FutureTask.run(FutureTask.java:266)
> at
> java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
> at
> java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
> at java.lang.Thread.run(Thread.java:748)
> Caused by: java.lang.Exception: DataLoad failure: Data Loading failed for
> table source_index_2_1_0
> at
> org.apache.carbondata.spark.rdd.CarbonDataRDDFactory$.loadCarbonData(CarbonDataRDDFactory.scala:460)
> at
> org.apache.spark.sql.execution.command.management.CarbonLoadDataCommand.loadData(CarbonLoadDataCommand.scala:226)
> at
> org.apache.spark.sql.execution.command.management.CarbonLoadDataCommand.processData(CarbonLoadDataCommand.scala:163)
> at
> org.apache.spark.sql.execution.command.AtomicRunnableCommand.$anonfun$run$3(package.scala:162)
> at
> org.apache.spark.sql.execution.command.Auditable.runWithAudit(package.scala:118)
> at
> org.apache.spark.sql.execution.command.Auditable.runWithAudit$(package.scala:114)
> at
> org.apache.spark.sql.execution.command.AtomicRunnableCommand.runWithAudit(package.scala:155)
> at
> org.apache.spark.sql.execution.command.AtomicRunnableCommand.run(package.scala:168)
> at
> org.apache.spark.sql.execution.command.ExecutedCommandExec.sideEffectResult$lzycompute(commands.scala:70)
> at
> org.apache.spark.sql.execution.command.ExecutedCommandExec.sideEffectResult(commands.scala:68)
> at
> org.apache.spark.sql.execution.command.ExecutedCommandExec.executeCollect(commands.scala:79)
> at org.apache.spark.sql.Dataset.$anonfun$logicalPlan$1(Dataset.scala:228)
> at org.apache.spark.sql.Dataset.$anonfun$withAction$1(Dataset.scala:3687)
> at
> org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$5(SQLExecution.scala:103)
> at
> org.apache.spark.sql.execution.SQLExecution$.withSQLConfPropagated(SQLExecution.scala:163)
> at
> org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$1(SQLExecution.scala:90)
> at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:772)
> at
> org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:64)
> at org.apache.spark.sql.Dataset.withAction(Dataset.scala:3685)
> at org.apache.spark.sql.Dataset.<init>(Dataset.scala:228)
> at org.apache.spark.sql.Dataset$.$anonfun$ofRows$2(Dataset.scala:99)
> at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:772)
> at org.apache.spark.sql.Dataset$.ofRows(Dataset.scala:96)
> at org.apache.spark.sql.SparkSession.$anonfun$sql$1(SparkSession.scala:615)
> at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:772)
> at org.apache.spark.sql.SparkSession.sql(SparkSession.scala:610)
> at org.apache.spark.sql.SQLContext.sql(SQLContext.scala:650)
> at
> org.apache.spark.sql.hive.thriftserver.SparkExecuteStatementOperation.org$apache$spark$sql$hive$thriftserver$SparkExecuteStatementOperation$$execute(SparkExecuteStatementOperation.scala:325)
> ... 16 more (state=,code=0)
> *Issue 2 : IN_POLYGON UDF query fails on 2.1.0 geospatial table in
> 2.2.0(Spark 2.4.5 and 3.1.1)*
> *STEPS:-*
> # create table in CarbonData 2.1.0 : create table
> source_index_2_1_0(TIMEVALUE BIGINT,LONGITUDE long,LATITUDE long) STORED AS
> carbondata TBLPROPERTIES
> ('SPATIAL_INDEX.mygeohash.type'='geohash','SPATIAL_INDEX.mygeohash.sourcecolumns'='longitude,
>
> latitude','SPATIAL_INDEX.mygeohash.originLatitude'='39.930753','SPATIAL_INDEX.mygeohash.gridSize'='50','SPATIAL_INDEX.mygeohash.minLongitude'='116.176090','SPATIAL_INDEX.mygeohash.maxLongitude'='116.736367','SPATIAL_INDEX.mygeohash.minLatitude'='39.930753','SPATIAL_INDEX.mygeohash.maxLatitude'='40.179415','SPATIAL_INDEX'='mygeohash','SPATIAL_INDEX.mygeohash.conversionRatio'='1000000');
> # LOAD DATA INPATH 'hdfs://hacluster/chetan/f_lcov_50basic_data.csv' INTO
> TABLE source_index_2_1_0 OPTIONS('HEADER'='true','DELIMITER'='|',
> 'QUOTECHAR'='|');
> # Take store of table the place in hdfs of CarbonData 2.2.0(Spark 2.4.5 and
> Spark 3.1.1) clusters
> # refresh table source_index_2_1_0;
> # 0: jdbc:hive2://10.21.19.14:23040/default> update source_index_2_1_0 set
> (timevalue)=(1);
> Error: org.apache.hive.service.cli.HiveSQLException: Error running query:
> java.lang.RuntimeException: Update operation failed. DataLoad failure
> at
> org.apache.spark.sql.hive.thriftserver.SparkExecuteStatementOperation.org$apache$spark$sql$hive$thriftserver$SparkExecuteStatementOperation$$execute(SparkExecuteStatementOperation.scala:361)
> at
> org.apache.spark.sql.hive.thriftserver.SparkExecuteStatementOperation$$anon$2$$anon$3.$anonfun$run$2(SparkExecuteStatementOperation.scala:263)
> at scala.runtime.java8.JFunction0$mcV$sp.apply(JFunction0$mcV$sp.java:23)
> at
> org.apache.spark.sql.hive.thriftserver.SparkOperation.withLocalProperties(SparkOperation.scala:78)
> at
> org.apache.spark.sql.hive.thriftserver.SparkOperation.withLocalProperties$(SparkOperation.scala:62)
> at
> org.apache.spark.sql.hive.thriftserver.SparkExecuteStatementOperation.withLocalProperties(SparkExecuteStatementOperation.scala:43)
> at
> org.apache.spark.sql.hive.thriftserver.SparkExecuteStatementOperation$$anon$2$$anon$3.run(SparkExecuteStatementOperation.scala:263)
> at
> org.apache.spark.sql.hive.thriftserver.SparkExecuteStatementOperation$$anon$2$$anon$3.run(SparkExecuteStatementOperation.scala:258)
> at java.security.AccessController.doPrivileged(Native Method)
> at javax.security.auth.Subject.doAs(Subject.java:422)
> at
> org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1746)
> at
> org.apache.spark.sql.hive.thriftserver.SparkExecuteStatementOperation$$anon$2.run(SparkExecuteStatementOperation.scala:272)
> at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:511)
> at java.util.concurrent.FutureTask.run(FutureTask.java:266)
> at
> java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
> at
> java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
> at java.lang.Thread.run(Thread.java:748)
> Caused by: java.lang.RuntimeException: Update operation failed. DataLoad
> failure
> at scala.sys.package$.error(package.scala:30)
> at
> org.apache.spark.sql.execution.command.mutation.CarbonProjectForUpdateCommand.processData(CarbonProjectForUpdateCommand.scala:232)
> at
> org.apache.spark.sql.execution.command.DataCommand.$anonfun$run$2(package.scala:146)
> at
> org.apache.spark.sql.execution.command.Auditable.runWithAudit(package.scala:118)
> at
> org.apache.spark.sql.execution.command.Auditable.runWithAudit$(package.scala:114)
> at
> org.apache.spark.sql.execution.command.DataCommand.runWithAudit(package.scala:144)
> at org.apache.spark.sql.execution.command.DataCommand.run(package.scala:146)
> at
> org.apache.spark.sql.execution.command.ExecutedCommandExec.sideEffectResult$lzycompute(commands.scala:70)
> at
> org.apache.spark.sql.execution.command.ExecutedCommandExec.sideEffectResult(commands.scala:68)
> at
> org.apache.spark.sql.execution.command.ExecutedCommandExec.executeCollect(commands.scala:79)
> at org.apache.spark.sql.Dataset.$anonfun$logicalPlan$1(Dataset.scala:228)
> at org.apache.spark.sql.Dataset.$anonfun$withAction$1(Dataset.scala:3687)
> at
> org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$5(SQLExecution.scala:103)
> at
> org.apache.spark.sql.execution.SQLExecution$.withSQLConfPropagated(SQLExecution.scala:163)
> at
> org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$1(SQLExecution.scala:90)
> at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:772)
> at
> org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:64)
> at org.apache.spark.sql.Dataset.withAction(Dataset.scala:3685)
> at org.apache.spark.sql.Dataset.<init>(Dataset.scala:228)
> at org.apache.spark.sql.Dataset$.$anonfun$ofRows$2(Dataset.scala:99)
> at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:772)
> at org.apache.spark.sql.Dataset$.ofRows(Dataset.scala:96)
> at org.apache.spark.sql.SparkSession.$anonfun$sql$1(SparkSession.scala:615)
> at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:772)
> at org.apache.spark.sql.SparkSession.sql(SparkSession.scala:610)
> at org.apache.spark.sql.SQLContext.sql(SQLContext.scala:650)
> at
> org.apache.spark.sql.hive.thriftserver.SparkExecuteStatementOperation.org$apache$spark$sql$hive$thriftserver$SparkExecuteStatementOperation$$execute(SparkExecuteStatementOperation.scala:325)
> ... 16 more (state=,code=0)
> *Issue 3 : update fails on 2.1.0 geospatial table in 2.2.0(Spark 2.4.5 and
> 3.1.1)*
> *STEPS:-***
> # create table in CarbonData 2.1.0 : create table
> source_index_2_1_0(TIMEVALUE BIGINT,LONGITUDE long,LATITUDE long) STORED AS
> carbondata TBLPROPERTIES
> ('SPATIAL_INDEX.mygeohash.type'='geohash','SPATIAL_INDEX.mygeohash.sourcecolumns'='longitude,
>
> latitude','SPATIAL_INDEX.mygeohash.originLatitude'='39.930753','SPATIAL_INDEX.mygeohash.gridSize'='50','SPATIAL_INDEX.mygeohash.minLongitude'='116.176090','SPATIAL_INDEX.mygeohash.maxLongitude'='116.736367','SPATIAL_INDEX.mygeohash.minLatitude'='39.930753','SPATIAL_INDEX.mygeohash.maxLatitude'='40.179415','SPATIAL_INDEX'='mygeohash','SPATIAL_INDEX.mygeohash.conversionRatio'='1000000');
> # LOAD DATA INPATH 'hdfs://hacluster/chetan/f_lcov_50basic_data.csv' INTO
> TABLE source_index_2_1_0 OPTIONS('HEADER'='true','DELIMITER'='|',
> 'QUOTECHAR'='|');
> # Take store of table the place in hdfs of CarbonData 2.2.0(Spark 2.4.5 and
> Spark 3.1.1) clusters
> # refresh table source_index_2_1_0;
> # 0: jdbc:hive2://10.21.19.14:23040/default> select
> timevalue,longitude,latitude from source_index_2_1_0 where
> IN_POLYGON('116.187332 39.979316,116.325378 39.963129,116.285807
> 40.084087,116.187332 39.979316');
> Error: org.apache.hive.service.cli.HiveSQLException: Error running query:
> java.io.InvalidClassException: org.apache.carbondata.core.util.CustomIndex;
> local class incompatible: stream classdesc serialVersionUID =
> -2993752718803359018, local class serialVersionUID = 4887003928853911686
> at
> org.apache.spark.sql.hive.thriftserver.SparkExecuteStatementOperation.org$apache$spark$sql$hive$thriftserver$SparkExecuteStatementOperation$$execute(SparkExecuteStatementOperation.scala:361)
> at
> org.apache.spark.sql.hive.thriftserver.SparkExecuteStatementOperation$$anon$2$$anon$3.$anonfun$run$2(SparkExecuteStatementOperation.scala:263)
> at scala.runtime.java8.JFunction0$mcV$sp.apply(JFunction0$mcV$sp.java:23)
> at
> org.apache.spark.sql.hive.thriftserver.SparkOperation.withLocalProperties(SparkOperation.scala:78)
> at
> org.apache.spark.sql.hive.thriftserver.SparkOperation.withLocalProperties$(SparkOperation.scala:62)
> at
> org.apache.spark.sql.hive.thriftserver.SparkExecuteStatementOperation.withLocalProperties(SparkExecuteStatementOperation.scala:43)
> at
> org.apache.spark.sql.hive.thriftserver.SparkExecuteStatementOperation$$anon$2$$anon$3.run(SparkExecuteStatementOperation.scala:263)
> at
> org.apache.spark.sql.hive.thriftserver.SparkExecuteStatementOperation$$anon$2$$anon$3.run(SparkExecuteStatementOperation.scala:258)
> at java.security.AccessController.doPrivileged(Native Method)
> at javax.security.auth.Subject.doAs(Subject.java:422)
> at
> org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1746)
> at
> org.apache.spark.sql.hive.thriftserver.SparkExecuteStatementOperation$$anon$2.run(SparkExecuteStatementOperation.scala:272)
> at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:511)
> at java.util.concurrent.FutureTask.run(FutureTask.java:266)
> at
> java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
> at
> java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
> at java.lang.Thread.run(Thread.java:748)
> Caused by: java.io.InvalidClassException:
> org.apache.carbondata.core.util.CustomIndex; local class incompatible: stream
> classdesc serialVersionUID = -2993752718803359018, local class
> serialVersionUID = 4887003928853911686
> at java.io.ObjectStreamClass.initNonProxy(ObjectStreamClass.java:699)
> at java.io.ObjectInputStream.readNonProxyDesc(ObjectInputStream.java:1884)
> at java.io.ObjectInputStream.readClassDesc(ObjectInputStream.java:1750)
> at java.io.ObjectInputStream.readNonProxyDesc(ObjectInputStream.java:1884)
> at java.io.ObjectInputStream.readClassDesc(ObjectInputStream.java:1750)
> at java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:2041)
> at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1572)
> at java.io.ObjectInputStream.readObject(ObjectInputStream.java:430)
> at
> org.apache.carbondata.core.util.ObjectSerializationUtil.convertStringToObject(ObjectSerializationUtil.java:99)
> at
> org.apache.carbondata.core.util.CustomIndex.getCustomInstance(CustomIndex.java:78)
> at org.apache.carbondata.geo.GeoUtils$.getGeoHashHandler(GeoUtils.scala:47)
> at
> org.apache.spark.sql.optimizer.CarbonFilters$.getGeoHashHandler(CarbonFilters.scala:302)
> at
> org.apache.spark.sql.optimizer.CarbonFilters$.translateUDF(CarbonFilters.scala:246)
> at
> org.apache.spark.sql.optimizer.CarbonFilters$.translateExpression(CarbonFilters.scala:83)
> at
> org.apache.spark.sql.execution.strategy.CarbonSourceStrategy$.$anonfun$selectFilters$3(CarbonSourceStrategy.scala:470)
> at
> scala.collection.TraversableLike.$anonfun$flatMap$1(TraversableLike.scala:245)
> at scala.collection.immutable.List.foreach(List.scala:392)
> at scala.collection.TraversableLike.flatMap(TraversableLike.scala:245)
> at scala.collection.TraversableLike.flatMap$(TraversableLike.scala:242)
> at scala.collection.immutable.List.flatMap(List.scala:355)
> at
> org.apache.spark.sql.execution.strategy.CarbonSourceStrategy$.selectFilters(CarbonSourceStrategy.scala:456)
> at
> org.apache.spark.sql.execution.strategy.CarbonSourceStrategy$.pruneFilterProject(CarbonSourceStrategy.scala:166)
> at
> org.apache.spark.sql.execution.strategy.CarbonSourceStrategy$.apply(CarbonSourceStrategy.scala:61)
> at
> org.apache.spark.sql.catalyst.planning.QueryPlanner.$anonfun$plan$1(QueryPlanner.scala:63)
> at scala.collection.Iterator$$anon$11.nextCur(Iterator.scala:484)
> at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:490)
> at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:489)
> at
> org.apache.spark.sql.catalyst.planning.QueryPlanner.plan(QueryPlanner.scala:93)
> at
> org.apache.spark.sql.execution.SparkStrategies.plan(SparkStrategies.scala:67)
> at
> org.apache.spark.sql.catalyst.planning.QueryPlanner.$anonfun$plan$3(QueryPlanner.scala:78)
> at
> scala.collection.TraversableOnce.$anonfun$foldLeft$1(TraversableOnce.scala:162)
> at
> scala.collection.TraversableOnce.$anonfun$foldLeft$1$adapted(TraversableOnce.scala:162)
> at scala.collection.Iterator.foreach(Iterator.scala:941)
> at scala.collection.Iterator.foreach$(Iterator.scala:941)
> at scala.collection.AbstractIterator.foreach(Iterator.scala:1429)
> at scala.collection.TraversableOnce.foldLeft(TraversableOnce.scala:162)
> at scala.collection.TraversableOnce.foldLeft$(TraversableOnce.scala:160)
> at scala.collection.AbstractIterator.foldLeft(Iterator.scala:1429)
> at
> org.apache.spark.sql.catalyst.planning.QueryPlanner.$anonfun$plan$2(QueryPlanner.scala:75)
> at scala.collection.Iterator$$anon$11.nextCur(Iterator.scala:484)
> at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:490)
> at
> org.apache.spark.sql.catalyst.planning.QueryPlanner.plan(QueryPlanner.scala:93)
> at
> org.apache.spark.sql.execution.SparkStrategies.plan(SparkStrategies.scala:67)
> at
> org.apache.spark.sql.execution.QueryExecution$.createSparkPlan(QueryExecution.scala:391)
> at
> org.apache.spark.sql.execution.QueryExecution.$anonfun$sparkPlan$1(QueryExecution.scala:104)
> at
> org.apache.spark.sql.catalyst.QueryPlanningTracker.measurePhase(QueryPlanningTracker.scala:111)
> at
> org.apache.spark.sql.execution.QueryExecution.$anonfun$executePhase$1(QueryExecution.scala:143)
> at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:772)
> at
> org.apache.spark.sql.execution.QueryExecution.executePhase(QueryExecution.scala:143)
> at
> org.apache.spark.sql.execution.QueryExecution.sparkPlan$lzycompute(QueryExecution.scala:104)
> at
> org.apache.spark.sql.execution.QueryExecution.sparkPlan(QueryExecution.scala:97)
> at
> org.apache.spark.sql.execution.QueryExecution.$anonfun$executedPlan$1(QueryExecution.scala:117)
> at
> org.apache.spark.sql.catalyst.QueryPlanningTracker.measurePhase(QueryPlanningTracker.scala:111)
> at
> org.apache.spark.sql.execution.QueryExecution.$anonfun$executePhase$1(QueryExecution.scala:143)
> at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:772)
> at
> org.apache.spark.sql.execution.QueryExecution.executePhase(QueryExecution.scala:143)
> at
> org.apache.spark.sql.execution.QueryExecution.executedPlan$lzycompute(QueryExecution.scala:117)
> at
> org.apache.spark.sql.execution.QueryExecution.executedPlan(QueryExecution.scala:110)
> at
> org.apache.spark.sql.execution.QueryExecution.$anonfun$writePlans$5(QueryExecution.scala:225)
> at org.apache.spark.sql.catalyst.plans.QueryPlan$.append(QueryPlan.scala:487)
> at
> org.apache.spark.sql.execution.QueryExecution.writePlans(QueryExecution.scala:225)
> at
> org.apache.spark.sql.execution.QueryExecution.toString(QueryExecution.scala:240)
> at
> org.apache.spark.sql.execution.QueryExecution.toString(QueryExecution.scala:233)
> at
> org.apache.spark.sql.hive.thriftserver.SparkExecuteStatementOperation.org$apache$spark$sql$hive$thriftserver$SparkExecuteStatementOperation$$execute(SparkExecuteStatementOperation.scala:328)
> ... 16 more (state=,code=0)
>
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