[ https://issues.apache.org/jira/browse/CARBONDATA-1058?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Srigopal Mohanty reassigned CARBONDATA-1058: -------------------------------------------- Assignee: Srigopal Mohanty > When executing select query On boundryvalue an error is displaying "Decimal scale (0) cannot be greater than precision (-28)." > ------------------------------------------------------------------------------------------------------------------------------ > > Key: CARBONDATA-1058 > URL: https://issues.apache.org/jira/browse/CARBONDATA-1058 > Project: CarbonData > Issue Type: Bug > Components: sql > Affects Versions: 1.1.0 > Environment: SPARK1.6 > Reporter: SWATI RAO > Assignee: Srigopal Mohanty > Attachments: Test_Data1.csv, Test_Data1_h1.csv > > > Steps To Reproduce: > CARBONDATA : > CREATE : > 0: jdbc:hive2://192.168.2.126:10000> create table Test_Boundary (c1_int int,c2_Bigint Bigint,c3_Decimal Decimal(38,30),c4_double double,c5_string string,c6_Timestamp Timestamp,c7_Datatype_Desc string) STORED BY 'org.apache.carbondata.format' > 0: jdbc:hive2://192.168.2.126:10000> ; > +---------+--+ > | Result | > +---------+--+ > +---------+--+ > No rows selected (0.28 seconds) > LOAD : > 0: jdbc:hive2://192.168.2.126:10000> LOAD DATA INPATH 'hdfs://localhost:54311/BabuStore/TestData/Data/Test_Data1.csv' INTO table Test_Boundary OPTIONS('DELIMITER'=',','QUOTECHAR'='','BAD_RECORDS_ACTION'='FORCE','FILEHEADER'=''); > +---------+--+ > | Result | > +---------+--+ > +---------+--+ > No rows selected (1.912 seconds) > SELECT : > 0: jdbc:hive2://192.168.2.126:10000> select c3_Decimal from Test_Boundary where floor(c3_Decimal)=0.00 or floor(c3_Decimal) IS NULL > 0: jdbc:hive2://192.168.2.126:10000> ; > Error: org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in stage 16.0 failed 1 times, most recent failure: Lost task 0.0 in stage 16.0 (TID 17, localhost): org.apache.spark.sql.AnalysisException: Decimal scale (0) cannot be greater than precision (-28).; > at org.apache.spark.sql.types.PrecisionInfo.<init>(DecimalType.scala:32) > at org.apache.spark.sql.types.DecimalType.<init>(DecimalType.scala:68) > at org.apache.spark.sql.types.DecimalType$.bounded(DecimalType.scala:155) > at org.apache.spark.sql.types.Decimal.floor(Decimal.scala:326) > at org.apache.spark.sql.catalyst.expressions.GeneratedClass$SpecificPredicate.eval(Unknown Source) > at org.apache.spark.sql.catalyst.expressions.codegen.GeneratePredicate$$anonfun$create$2.apply(GeneratePredicate.scala:68) > at org.apache.spark.sql.catalyst.expressions.codegen.GeneratePredicate$$anonfun$create$2.apply(GeneratePredicate.scala:68) > at org.apache.spark.sql.execution.Filter$$anonfun$2$$anonfun$apply$2.apply(basicOperators.scala:74) > at org.apache.spark.sql.execution.Filter$$anonfun$2$$anonfun$apply$2.apply(basicOperators.scala:72) > at scala.collection.Iterator$$anon$14.hasNext(Iterator.scala:390) > at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:327) > at scala.collection.Iterator$class.foreach(Iterator.scala:727) > at scala.collection.AbstractIterator.foreach(Iterator.scala:1157) > at scala.collection.generic.Growable$class.$plus$plus$eq(Growable.scala:48) > at scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:103) > at scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:47) > at scala.collection.TraversableOnce$class.to(TraversableOnce.scala:273) > at scala.collection.AbstractIterator.to(Iterator.scala:1157) > at scala.collection.TraversableOnce$class.toBuffer(TraversableOnce.scala:265) > at scala.collection.AbstractIterator.toBuffer(Iterator.scala:1157) > at scala.collection.TraversableOnce$class.toArray(TraversableOnce.scala:252) > at scala.collection.AbstractIterator.toArray(Iterator.scala:1157) > at org.apache.spark.rdd.RDD$$anonfun$collect$1$$anonfun$12.apply(RDD.scala:927) > at org.apache.spark.rdd.RDD$$anonfun$collect$1$$anonfun$12.apply(RDD.scala:927) > at org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:1858) > at org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:1858) > at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:66) > at org.apache.spark.scheduler.Task.run(Task.scala:89) > at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:227) > at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142) > at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617) > at java.lang.Thread.run(Thread.java:745) > Driver stacktrace: (state=,code=0) > HIVE : > CREATE: > 0: jdbc:hive2://192.168.2.126:10000> create table Test_Boundary_h1 (c1_int int,c2_Bigint Bigint,c3_Decimal Decimal(38,30),c4_double double,c5_string string,c6_Timestamp Timestamp,c7_Datatype_Desc string) ROW FORMAT DELIMITED FIELDS TERMINATED BY ',' > 0: jdbc:hive2://192.168.2.126:10000> ; > +---------+--+ > | result | > +---------+--+ > +---------+--+ > No rows selected (0.524 seconds) > LOAD : > 0: jdbc:hive2://192.168.2.126:10000> load data local inpath '/opt/Carbon/CarbonData/TestData/Data/Test_Data1_h1.csv' OVERWRITE INTO TABLE Test_Boundary_h1 > 0: jdbc:hive2://192.168.2.126:10000> ; > +---------+--+ > | Result | > +---------+--+ > +---------+--+ > No rows selected (0.646 seconds) > SELECT : > 0: jdbc:hive2://192.168.2.126:10000> select c3_Decimal from Test_Boundary_h1 where floor(c3_Decimal)=0.0 or floor(c3_Decimal) IS NULL > 0: jdbc:hive2://192.168.2.126:10000> ; > +-----------------------------------+--+ > | c3_Decimal | > +-----------------------------------+--+ > | 0.123456789009876543211234567890 | > | 0.054000000000000000000000000000 | > | 0.123456789009876543211234567890 | > | 0.000100000000000000000000000000 | > | 0.123456789009876543211234567890 | > | NULL | > | 0.800000000000000000000000000000 | > | 0.900000000000000000000000000000 | > | 0E-30 | > | 0E-30 | > | 0.123456789009876543211234567890 | > | NULL | > | NULL | > | NULL | > | NULL | > | NULL | > +-----------------------------------+--+ > 16 rows selected (0.266 seconds) -- This message was sent by Atlassian JIRA (v6.3.15#6346) |
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