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Posted to issues@carbondata.apache.org by "Chetan Bhat (Jira)" <ji...@apache.org> on 2020/05/06 18:11:00 UTC
[jira] [Created] (CARBONDATA-3802) Show metacache on table with
lucene created in 2.0 fails
Chetan Bhat created CARBONDATA-3802:
---------------------------------------
Summary: Show metacache on table with lucene created in 2.0 fails
Key: CARBONDATA-3802
URL: https://issues.apache.org/jira/browse/CARBONDATA-3802
Project: CarbonData
Issue Type: Bug
Components: data-query
Affects Versions: 2.0.0
Environment: Spark 2.3.2, 2.4.5
Reporter: Chetan Bhat
Show metacache on table with lucene created in 2.0 fails
0: jdbc:hive2://10.20.255.171:23040/default> CREATE TABLE uniqdata_lucene(CUST_ID int,CUST_NAME String,ACTIVE_EMUI_VERSION string, DOB timestamp, DOJ timestamp, BIGINT_COLUMN1 bigint,BIGINT_COLUMN2 bigint,DECIMAL_COLUMN1 decimal(30,10), DECIMAL_COLUMN2 decimal(36,10),Double_COLUMN1 double, Double_COLUMN2 double,INTEGER_COLUMN1 int) STORED as carbondata;
+---------+--+
| Result |
+---------+--+
+---------+--+
No rows selected (0.188 seconds)
0: jdbc:hive2://10.20.255.171:23040/default> LOAD DATA INPATH 'hdfs://hacluster/chetan/2000_UniqData.csv' into table uniqdata_lucene OPTIONS('DELIMITER'=',', 'QUOTECHAR'='"','BAD_RECORDS_ACTION'='FORCE','FILEHEADER'='CUST_ID,CUST_NAME,ACTIVE_EMUI_VERSION,DOB,DOJ,BIGINT_COLUMN1,BIGINT_COLUMN2,DECIMAL_COLUMN1,DECIMAL_COLUMN2,Double_COLUMN1,Double_COLUMN2,INTEGER_COLUMN1');
+---------+--+
| Result |
+---------+--+
+---------+--+
No rows selected (2.062 seconds)
0: jdbc:hive2://10.20.255.171:23040/default> CREATE INDEX dm4 ON TABLE uniqdata_lucene (CUST_NAME) AS 'lucene';
+---------+--+
| Result |
+---------+--+
+---------+--+
No rows selected (2.348 seconds)
0: jdbc:hive2://10.20.255.171:23040/default> show metacache on table uniqdata_lucene;
*Error: java.lang.NumberFormatException: For input string: "null" (state=,code=0)*
*Exception -*
2020-05-07 01:58:23,471 | AUDIT | [HiveServer2-Background-Pool: Thread-516] | \{"time":"May 7, 2020 1:58:23 AM CST","username":"anonymous","opName":"SHOW CACHE","opId":"395854897408120","opStatus":"FAILED","opTime":"318 ms","table":"NA","extraInfo":{"Exception":"java.lang.NumberFormatException","Message":"For input string: \"null\""}} | org.apache.carbondata.processing.util.Auditor.logOperationEnd(Auditor.java:97)
2020-05-07 01:58:23,471 | ERROR | [HiveServer2-Background-Pool: Thread-516] | Error executing query, currentState RUNNING, | org.apache.spark.internal.Logging$class.logError(Logging.scala:91)
java.lang.NumberFormatException: For input string: "null"
at java.lang.NumberFormatException.forInputString(NumberFormatException.java:65)
at java.lang.Integer.parseInt(Integer.java:580)
at java.lang.Integer.parseInt(Integer.java:615)
at scala.collection.immutable.StringLike$class.toInt(StringLike.scala:272)
at scala.collection.immutable.StringOps.toInt(StringOps.scala:29)
at org.apache.spark.sql.execution.command.cache.CarbonShowCacheCommand$$anonfun$org$apache$spark$sql$execution$command$cache$CarbonShowCacheCommand$$collectDriverMetaCacheInfo$1$$anonfun$applyOrElse$1.apply(CarbonShowCacheCommand.scala:446)
at org.apache.spark.sql.execution.command.cache.CarbonShowCacheCommand$$anonfun$org$apache$spark$sql$execution$command$cache$CarbonShowCacheCommand$$collectDriverMetaCacheInfo$1$$anonfun$applyOrElse$1.apply(CarbonShowCacheCommand.scala:444)
at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234)
at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234)
at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:48)
at scala.collection.TraversableLike$class.map(TraversableLike.scala:234)
at scala.collection.AbstractTraversable.map(Traversable.scala:104)
at org.apache.spark.sql.execution.command.cache.CarbonShowCacheCommand$$anonfun$org$apache$spark$sql$execution$command$cache$CarbonShowCacheCommand$$collectDriverMetaCacheInfo$1.applyOrElse(CarbonShowCacheCommand.scala:443)
at org.apache.spark.sql.execution.command.cache.CarbonShowCacheCommand$$anonfun$org$apache$spark$sql$execution$command$cache$CarbonShowCacheCommand$$collectDriverMetaCacheInfo$1.applyOrElse(CarbonShowCacheCommand.scala:427)
at scala.PartialFunction$$anonfun$runWith$1.apply(PartialFunction.scala:141)
at scala.PartialFunction$$anonfun$runWith$1.apply(PartialFunction.scala:140)
at scala.collection.Iterator$class.foreach(Iterator.scala:893)
at scala.collection.AbstractIterator.foreach(Iterator.scala:1336)
at scala.collection.IterableLike$class.foreach(IterableLike.scala:72)
at scala.collection.AbstractIterable.foreach(Iterable.scala:54)
at scala.collection.TraversableLike$class.collect(TraversableLike.scala:271)
at scala.collection.AbstractTraversable.collect(Traversable.scala:104)
at org.apache.spark.sql.execution.command.cache.CarbonShowCacheCommand.org$apache$spark$sql$execution$command$cache$CarbonShowCacheCommand$$collectDriverMetaCacheInfo(CarbonShowCacheCommand.scala:427)
at org.apache.spark.sql.execution.command.cache.CarbonShowCacheCommand.getTableCacheFromDriver(CarbonShowCacheCommand.scala:253)
at org.apache.spark.sql.execution.command.cache.CarbonShowCacheCommand.processMetadata(CarbonShowCacheCommand.scala:105)
at org.apache.spark.sql.execution.command.MetadataCommand$$anonfun$run$1.apply(package.scala:123)
at org.apache.spark.sql.execution.command.MetadataCommand$$anonfun$run$1.apply(package.scala:123)
at org.apache.spark.sql.execution.command.Auditable$class.runWithAudit(package.scala:104)
at org.apache.spark.sql.execution.command.MetadataCommand.runWithAudit(package.scala:120)
at org.apache.spark.sql.execution.command.MetadataCommand.run(package.scala:123)
at org.apache.spark.sql.execution.command.ExecutedCommandExec.sideEffectResult$lzycompute(commands.scala:70)
at org.apache.spark.sql.execution.command.ExecutedCommandExec.sideEffectResult(commands.scala:68)
at org.apache.spark.sql.execution.command.ExecutedCommandExec.executeCollect(commands.scala:79)
at org.apache.spark.sql.Dataset$$anonfun$6.apply(Dataset.scala:190)
at org.apache.spark.sql.Dataset$$anonfun$6.apply(Dataset.scala:190)
at org.apache.spark.sql.Dataset$$anonfun$52.apply(Dataset.scala:3259)
at org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:77)
at org.apache.spark.sql.Dataset.withAction(Dataset.scala:3258)
at org.apache.spark.sql.Dataset.<init>(Dataset.scala:190)
at org.apache.spark.sql.Dataset$.ofRows(Dataset.scala:75)
at org.apache.spark.sql.SparkSession.sql(SparkSession.scala:642)
at org.apache.spark.sql.SQLContext.sql(SQLContext.scala:694)
at org.apache.spark.sql.hive.thriftserver.SparkExecuteStatementOperation.org$apache$spark$sql$hive$thriftserver$SparkExecuteStatementOperation$$execute(SparkExecuteStatementOperation.scala:232)
at org.apache.spark.sql.hive.thriftserver.SparkExecuteStatementOperation$$anon$1$$anon$2.run(SparkExecuteStatementOperation.scala:175)
at org.apache.spark.sql.hive.thriftserver.SparkExecuteStatementOperation$$anon$1$$anon$2.run(SparkExecuteStatementOperation.scala:171)
at java.security.AccessController.doPrivileged(Native Method)
at javax.security.auth.Subject.doAs(Subject.java:422)
at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1698)
at org.apache.spark.sql.hive.thriftserver.SparkExecuteStatementOperation$$anon$1.run(SparkExecuteStatementOperation.scala:185)
at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:511)
at java.util.concurrent.FutureTask.run(FutureTask.java:266)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
at java.lang.Thread.run(Thread.java:745)
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