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
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