Neha Bhardwaj created CARBONDATA-1038:
-----------------------------------------
Summary: DICTIONARY_EXCLUDE is not working for string datatype when used with Spark Datasource DDL
Key: CARBONDATA-1038
URL:
https://issues.apache.org/jira/browse/CARBONDATA-1038 Project: CarbonData
Issue Type: Bug
Components: data-query
Environment: spark 2.1
Reporter: Neha Bhardwaj
Priority: Minor
DICTIONARY_EXCLUDE is throwing exception for string datatype when used Spark Datasource DDL
Steps to reproduce:
CREATE TABLE IF NOT EXISTS uniq_product( productNumber Int, productName String, storeCity String, storeProvince String,
productCategory String, productBatch String, saleQuantity Int, revenue Int) USING
org.apache.spark.sql.CarbonSource OPTIONS('COLUMN_GROUPS'='(productCategory)',
'DICTIONARY_EXCLUDE'='productName', 'DICTIONARY_INCLUDE'='productNumber',
'NO_INVERTED_INDEX'='productBatch','bucketnumber'='1', 'bucketcolumns'='productNumber','tableName'='uniq_product');
Expected Output :
Table should get created.
Actual Output :
Error: org.apache.carbondata.spark.exception.MalformedCarbonCommandException: DICTIONARY_EXCLUDE is unsupported for stringtype data type column: productname (state=,code=0)
--
This message was sent by Atlassian JIRA
(v6.3.15#6346)