SWATI RAO created CARBONDATA-1058:
------------------------------------- Summary: 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 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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