SWATI RAO created CARBONDATA-693:
------------------------------------ Summary: Issue in select query for function Ceiling & Floor Key: CARBONDATA-693 URL: https://issues.apache.org/jira/browse/CARBONDATA-693 Project: CarbonData Issue Type: Bug Components: sql Affects Versions: 1.0.0-incubating Environment: Spark1.6 Reporter: SWATI RAO Attachments: Test_Data1.csv When executed in Hive it is working Fine, But when we execute same query in carbondata it gives an error. PushUP_FILTER_Test_Boundary_TC059 0: jdbc:hive2://hadoop-master:10000> create table Test_Boundary2 (c1_int int,c2_Bigint Bigint,c3_Decimal Decimal(38,30),c4_double double,c5_string string,c6_Timestamp Timestamp,c7_Datatype_Desc string) ; +---------+--+ | result | +---------+--+ +---------+--+ No rows selected (0.101 seconds) 0: jdbc:hive2://hadoop-master:10000> show tables ; +-----------------+--------------+--+ | tableName | isTemporary | +-----------------+--------------+--+ | test_boundary | false | | test_boundary2 | false | +-----------------+--------------+--+ 2 rows selected (0.02 seconds) 0: jdbc:hive2://hadoop-master:10000> load data local inpath '/home/server/Desktop/Test_Data1.csv' into table test_boundary2 ; +---------+--+ | Result | +---------+--+ +---------+--+ No rows selected (0.201 seconds) 0: jdbc:hive2://hadoop-master:10000> select c3_Decimal from Test_Boundary where floor(c3_Decimal)=0.00 or floor(c3_Decimal) IS NULL ; +-------------+--+ | c3_Decimal | +-------------+--+ +-------------+--+ No rows selected (0.315 seconds) 0: jdbc:hive2://hadoop-master:10000> select count(*) from Test_Boundary ; +------+--+ | _c0 | +------+--+ | 0 | +------+--+ CarbonData 0: jdbc:hive2://hadoop-master: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' ; +---------+--+ | Result | +---------+--+ +---------+--+ No rows selected (0.535 seconds) 0: jdbc:hive2://hadoop-master:10000> select count(*) from Test_Boundary ; +------+--+ | _c0 | +------+--+ | 0 | +------+--+ 1 row selected (1.883 seconds) hdfs://192.168.2.145:54310hdfs://192.168.2.145:54310/HDFS_URL/BabuStore/Data/Test_Data1.csv (state=,code=0) 0: jdbc:hive2://hadoop-master:10000> LOAD DATA INPATH 'hdfs://192.168.2.145:54310/BabuStore/Data/Test_Data1.csv' INTO table Test_Boundary OPTIONS('DELIMITER'=',','QUOTECHAR'='','BAD_RECORDS_ACTION'='FORCE','FILEHEADER'='') ; +---------+--+ | Result | +---------+--+ +---------+--+ No rows selected (2.436 seconds) 0: jdbc:hive2://hadoop-master:10000> select c3_Decimal from Test_Boundary where floor(c3_Decimal)=0.00 or floor(c3_Decimal) IS NULL ; Error: org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in stage 7.0 failed 4 times, most recent failure: Lost task 0.3 in stage 7.0 (TID 16, hadoop-master): 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) PushUP_FILTER_Test_Boundary_TC065 : select c3_Decimal from Test_Boundary where floor(c3_Decimal)<=0.0 or floor(c3_Decimal) IS NOT NULL select c3_Decimal from Test_Boundary where ceil(c3_Decimal)=0.0 or ceiling(c3_Decimal) IS NULL PushUP_FILTER_Test_Boundary_TC085 select c3_Decimal from Test_Boundary where ceil(c3_Decimal)<=0.0 or ceiling(c3_Decimal) IS NOT NULL PushUP_FILTER_Test_Boundary_TC088:select min(c1_int),max(c1_int),sum(c1_int),avg(c1_int) , count(c1_int), variance(c1_int) from Test_Boundary where rand(c1_int)=0.6201007799387834 or rand(c1_int)=0.45540022789662593 -- This message was sent by Atlassian JIRA (v6.3.15#6346) |
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