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https://issues.apache.org/jira/browse/CARBONDATA-1243?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16066403#comment-16066403
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Kunal Kapoor edited comment on CARBONDATA-1243 at 6/28/17 12:21 PM:
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This is fixed with https://github.com/apache/carbondata/pull/1107
Please verify again
was (Author: kunal):
This is fixed with https://github.com/apache/carbondata/pull/1107
> Data Load Failure while loading the data from CSV
> -------------------------------------------------
>
> Key: CARBONDATA-1243
> URL: https://issues.apache.org/jira/browse/CARBONDATA-1243
> Project: CarbonData
> Issue Type: Bug
> Components: data-load
> Environment: Spark 1.6
> Spark 2.1
> Reporter: Prabhat Kashyap
> Attachments: 2000_UniqData.csv
>
>
> Data Load failure while loading the Data from CSV.
> Steps to reproduces:
> 1: Create a table
> CREATE TABLE uniqdata (CUST_ID int,CUST_NAME String,ACTIVE_EMUI_VERSION
> string, DOB timestamp, DOJ timestamp, BIGINT_COLUMN1 bigint,BIGINT_COLUMN2
> bigint,DECIMAL_COLUMN1 decimal(30,10), DECIMAL_COLUMN2
> decimal(36,10),Double_COLUMN1 double, Double_COLUMN2 double,INTEGER_COLUMN1
> int) STORED BY 'org.apache.carbondata.format' TBLPROPERTIES
> ("TABLE_BLOCKSIZE"= "256 MB")
> 0: jdbc:hive2://localhost:10000> ;
> +---------+--+
> | Result |
> +---------+--+
> +---------+--+
> No rows selected (3.823 seconds).
> 2:Load the data into table:
> LOAD DATA INPATH 'hdfs://localhost:54310/2000_UniqData_tabdelm.csv' into
> table uniqdata OPTIONS('DELIMITER'='/' ,
> 'QUOTECHAR'='"','BAD_RECORDS_ACTION'='FORCE','FILEHEADER'='CUST_ID,CUST_NAME,ACTIVE_EMUI_VERSION,DOB,DOJ,BIGINT_COLUMN1,BIGINT_COLUMN2,DECIMAL_COLUMN1,DECIMAL_COLUMN2,Double_COLUMN1,Double_COLUMN2,INTEGER_COLUMN1');
> 3:Error While Data Load:
> Error: java.lang.IllegalArgumentException: Pathname
> /hdfs:/localhost:54310/2000_UniqData_tabdelm.csv from
> hdfs://localhost:54310/hdfs:/localhost:54310/2000_UniqData_tabdelm.csv is not
> a valid DFS filename. (state=,code=0)
> Expected Result: Data should be loaded successfully
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