[GitHub] incubator-carbondata issue #650: [WIP] add intergation with presto

[ffpeng90]

Github user ffpeng90 commented on the issue:

    https://github.com/apache/incubator-carbondata/pull/650
  
    I'm focusing on two things.
    1. let user can debug presto-carbondata in his IDE.
    2. use new presto API to support lazy decode.
    They will be ok soon.
    
    
    
    
    
    
    At 2017-03-15 10:52:01, "å½­" <ffp900...@126.com> wrote:
    
    Hi:
        1. This version only suppport DML,  
            All tables for test are created by spark-sql(DML part), 
            and i submit queries to presto to get results.
            I only tested the "Select" Case , like where, group , sum , join.
    
    
        2.  I use APIs like createQueryPlan, resolveFilter from class 
"CarbonInputFormatUtil". 
           To read carbon formatted table, i make the read process into several 
steps:
           a). load table metadata 
           b). get splits from table (pushing down filtering to filter 
datablocks of one segment @CarbonTableReader.getInputSplits2 )
           c). parse records ( pushing down column projection and filtering 
into QueryModel  @CarbondataRecordSetProvider.getRecordSet ) 
    
    
        3. As i described  in partC "parse records", I use QueryModel to get  
decoded records.
           For lazy decoding,  I will keep on exploring a better solution.  
Maybe we can get inspiration from module presto-orc, presto-parquet.
          
     
          
       
    
    
    
    
    
    
    At 2017-03-15 09:11:19, "Jacky Li" <notificati...@github.com> wrote:
    
    
    Thanks for working on this. Can you describe what feature is added in term 
of:
    
    What SQL syntax is supported? DDL &DML?
    I think it uses CarbonInputFormat to read, so are you pushing down column 
projection and filtering by setting the configuration in CarbonInputFormat?
    Is there any SQL optimization integration with Presto's optimizer? like 
leveraging carbon's global dictionary to do lazy decode?
    
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