Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

[CARBONDATA-1752] There are some scalastyle error should be optimized in CarbonData #1569

Closed
wants to merge 1 commit into from

Conversation

xubo245
Copy link
Contributor

@xubo245 xubo245 commented Nov 26, 2017

There are some scalastyle error should be optimized in CarbonData, including removing useless import, optimizing method definition and so on

This PR remove some unused import like:

import org.apache.carbondata.core.metadata.datatype.DecimalType
import org.apache.carbondata.core.metadata.datatype.DataType;

Be sure to do all of the following checklist to help us incorporate
your contribution quickly and easily:

  • Any interfaces changed?
    NO

  • Any backward compatibility impacted?
    No

  • Document update required?
    No

  • Testing done
    Please provide details on
    - Whether new unit test cases have been added or why no new tests are required?
    - How it is tested? Please attach test report.
    - Is it a performance related change? Please attach the performance test report.
    - Any additional information to help reviewers in testing this change.

  • For large changes, please consider breaking it into sub-tasks under an umbrella JIRA.
    No

@CarbonDataQA
Copy link

Build Success with Spark 2.1.0, Please check CI http://136.243.101.176:8080/job/ApacheCarbonPRBuilder1/1468/

@ravipesala
Copy link
Contributor

SDV Build Success , Please check CI http://144.76.159.231:8080/job/ApacheSDVTests/1886/

@ravipesala
Copy link
Contributor

SDV Build Success , Please check CI http://144.76.159.231:8080/job/ApacheSDVTests/2047/

@CarbonDataQA
Copy link

Build Success with Spark 2.1.0, Please check CI http://136.243.101.176:8080/job/ApacheCarbonPRBuilder1/1657/

… in CarbonData

There are some scalastyle error should be optimized in CarbonData, including removing useless import, optimizing method definition and so on

This PR remove some unused import like:
import org.apache.carbondata.core.metadata.datatype.DecimalType
import org.apache.carbondata.core.metadata.datatype.DataType;
@CarbonDataQA
Copy link

Build Success with Spark 2.2.0, Please check CI http://88.99.58.216:8080/job/ApacheCarbonPRBuilder/411/

@CarbonDataQA
Copy link

Build Success with Spark 2.1.0, Please check CI http://136.243.101.176:8080/job/ApacheCarbonPRBuilder1/1683/

@ravipesala
Copy link
Contributor

SDV Build Success , Please check CI http://144.76.159.231:8080/job/ApacheSDVTests/2069/

@asfgit asfgit closed this in e2a2d99 Dec 6, 2017
@jackylk
Copy link
Contributor

jackylk commented Dec 6, 2017

LGTM

anubhav100 pushed a commit to anubhav100/incubator-carbondata that referenced this pull request Dec 7, 2017
… in CarbonData

There are some scalastyle error should be optimized in CarbonData, including removing useless import, optimizing method definition and so on. This PR remove some unused import

This closes apache#1569
jatin9896 pushed a commit to jatin9896/incubator-carbondata that referenced this pull request Jan 5, 2018
… in CarbonData

There are some scalastyle error should be optimized in CarbonData, including removing useless import, optimizing method definition and so on. This PR remove some unused import

This closes apache#1569
anubhav100 pushed a commit to anubhav100/incubator-carbondata that referenced this pull request Jun 22, 2018
… in CarbonData

There are some scalastyle error should be optimized in CarbonData, including removing useless import, optimizing method definition and so on. This PR remove some unused import

This closes apache#1569
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

Successfully merging this pull request may close these issues.

None yet

4 participants