Neha Bhardwaj created CARBONDATA-917:
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Summary: count(*) doesn't work
Key: CARBONDATA-917
URL:
https://issues.apache.org/jira/browse/CARBONDATA-917 Project: CarbonData
Issue Type: Bug
Components: data-query
Environment: scala 2.1, Hive 1.2.1
Reporter: Neha Bhardwaj
Priority: Minor
Attachments: abc.csv
Select query with count(*) fails to render output
Steps to reproduce:
1) In Spark Shell :
a) Create Table -
import org.apache.spark.sql.SparkSession
import org.apache.spark.sql.CarbonSession._
val carbon = SparkSession.builder().config(sc.getConf).getOrCreateCarbonSession("hdfs://localhost:54310/opt/data")
scala> carbon.sql(" create table abc(id int, name string) stored by 'carbondata' ").show
b) Load Data -
scala> carbon.sql(""" load data inpath 'hdfs://localhost:54310/Files/abc.csv' into table abc """ ).show
2) In Hive :
a) Add Jars -
add jar /home/neha/incubator-carbondata/assembly/target/scala-2.11/carbondata_2.11-1.1.0-incubating-SNAPSHOT-shade-hadoop2.7.2.jar;
add jar /opt/spark-2.1.0-bin-hadoop2.7/jars/spark-catalyst_2.11-2.1.0.jar;
add jar /home/neha/incubator-carbondata/integration/hive/carbondata-hive-1.1.0-incubating-SNAPSHOT.jar;
b) Create Table -
create table abc(id int,name string);
c) Alter location -
hive> alter table abc set LOCATION 'hdfs://localhost:54310/opt/data/default/abc' ;
d) Set Properties -
set hive.mapred.supports.subdirectories=true;
set mapreduce.input.fileinputformat.input.dir.recursive=true;
d) Alter FileFormat -
alter table abc set FILEFORMAT
INPUTFORMAT "org.apache.carbondata.hive.MapredCarbonInputFormat"
OUTPUTFORMAT "org.apache.carbondata.hive.MapredCarbonOutputFormat"
SERDE "org.apache.carbondata.hive.CarbonHiveSerDe";
e) Query -
hive> select count(*) from abc;
Expected Output :
ResultSet should display the count of the number of rows in the table.
Result:
Query ID = hduser_20170412181449_85a7db42-42a1-450c-9931-dc7b3b00b412
Total jobs = 1
Launching Job 1 out of 1
Number of reduce tasks determined at compile time: 1
In order to change the average load for a reducer (in bytes):
set hive.exec.reducers.bytes.per.reducer=<number>
In order to limit the maximum number of reducers:
set hive.exec.reducers.max=<number>
In order to set a constant number of reducers:
set mapreduce.job.reduces=<number>
Job running in-process (local Hadoop)
2017-04-12 18:14:53,949 Stage-1 map = 0%, reduce = 0%
Ended Job = job_local220086106_0001 with errors
Error during job, obtaining debugging information...
Job Tracking URL:
http://localhost:8080/FAILED: Execution Error, return code 2 from org.apache.hadoop.hive.ql.exec.mr.MapRedTask
MapReduce Jobs Launched:
Stage-Stage-1: HDFS Read: 0 HDFS Write: 0 FAIL
Total MapReduce CPU Time Spent: 0 msec
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