Elasticsearch and logstash JDBC giving exception for long and float data type casting

Hi Team,
I have to create index dynamically using logstash jdbc. I have used sql query in logstash. And my few column contains some decimal and some long values mixed. After starting logstash I am getting exception
cannot be changed from type [long] to [float]
Please help us to resolve the issue [long] to [float] and [float] to [long].
Note: I have used mutate filter to convert data type but its not working. And I don't want to make mapping manually for index.
Please provide solution on this issue.
Below is my configuration logstash.

 input {
        jdbc {
            jdbc_validate_connection => true
            jdbc_connection_string => "jdbc:oracle:thin:@DEV:8080/SID"
            jdbc_user => "AJIT"
            jdbc_password => "pass#1234"
            jdbc_driver_library => "/opt/READONLYREST/OSS/logstash-6.3.0/ojdbc7.jar"
            jdbc_driver_class => "Java::oracle.jdbc.driver.OracleDriver"

            statement => "Select Distinct Bm.Crmcompanyid,Cd.Company_Name,
      Bm.Datatype,Bm.Template,
      Bm.Isconsolidated,
      Bm.Periodendson,
      Bm.Crr_Date,
      cast(bm.period_code as decimal(15,2)),
    cast(Column1 as decimal(15,2))  TOTAL_INCOME  ,
    cast(Column10 as decimal(15,2))  TOTAL_OPERATING_EXPENDITURE ,
    cast(Column11 as decimal(15,2))  Total_Provisions_Cont ,
    cast(Column12 as decimal(15,2))  Adjusted_PROFIT_AFTER_TAX ,
    cast(Column13 as decimal(15,2))  Net_Intrst_Incm_Avg_Ttl_Assts ,
    cast(Column14 as decimal(15,2))  Non_Int_Income_Avg_Ttl_Assts  ,
    cast(Column15 as decimal(15,2))  Non_Int_expenses_Avg_Ttl_Assts  ,
    cast(Column16 as decimal(15,2))  PAT_Adjusted_Avg_Total_Assets ,
    cast(Column17 as decimal(15,2))  Intrst_Paid_on_Dep_Avg_Dep  ,
    cast(Column18 as decimal(15,2))  Tier_I_Capital_Percentage ,
    cast(Column19 as decimal(15,2))  Capital_Adequacy_Ratio  ,
    cast(Column2 as decimal(15,2)) TOTAL_ASSETS  ,
    cast(Column20 as decimal(15,2))  Gross_NPA_Loans_Advances  ,
    cast(Column21 as decimal(15,2))  Net_NPA_Loans_Advances  ,
    cast(Column22 as decimal(15,2))  Networth_Net_NPA  ,
    cast(Column23 as decimal(15,2))  CASA  ,
    cast(Column24 as decimal(15,2))  Operating_Expenses  ,
    cast(Column25 as decimal(15,2))  Equity_Share_Capital  ,
    cast(Column3 as decimal(15,2)) TOTAL_LOANS_ADVANCES  ,
    cast(Column4 as decimal(15,2)) TANGIBLE_NETWORTH ,
    cast(Column5 as decimal(15,2)) TOTAL_DEPOSITS  ,
    cast(Column6 as decimal(15,2)) TOTAL_INTEREST_INCOME ,
    cast(Column7 as decimal(15,2)) TOTAL_INTEREST_PAID ,
    cast(Column8 as decimal(15,2)) NET_INTEREST_INCOME ,
    cast(Column9 as decimal(15,2)) TOTAL_OTHER_INCOME  
    From Banknbfc_Periodmaster_Synm Bm,
      TEMP Bd,
      company_details_mv_synm cd
    Where Bm.Period_Code = Bd.Period_Code
    And Cd.Company_Code = Bm.Crmcompanyid
    and bm.template = 'Bank'
    and cd.company_status = 'Active'
    --and column1 in (1322394.26,1299694)
    ORDER BY Periodendson "       
     }
    }

    filter{

      mutate {convert => ["TOTAL_INCOME","float"] }
      mutate {convert => ["Capital_Adequacy_Ratio","float"] }
      mutate {convert => ["Networth_Net_NPA","float"] }
      mutate {convert => ["TANGIBLE_NETWORTH","float"] }
      mutate {convert => ["Non_Int_expenses_Avg_Ttl_Assts","float"] }
      mutate {convert => ["Total_Provisions_Cont","float"] }
      mutate {convert => ["TOTAL_INTEREST_INCOME","float"] }
      mutate {convert => ["TOTAL_LOANS_ADVANCES","float"] }
      mutate {convert => ["Net_NPA_Loans_Advances","float"] }
      mutate {convert => ["Tier_I_Capital_Percentage","float"] }
    }

    output   {
       
        elasticsearch {
        	hosts => "localhost:9200"
            index => "ajit_test"    
            user => "c-ajitb"
            password => "pass#1234"
            ssl => true
            ssl_certificate_verification => false
            truststore => "/opt/READONLYREST/elasticsearch-6.3.0/config/keystore.jks"
            truststore_password => "readonlyrest"

        
        }
    }

Please give us solution on this issue.

This topic was automatically closed 28 days after the last reply. New replies are no longer allowed.