how to read each row and insert into database along with remove unwant white space as well as multiple comma





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i've gone through csv-parser (https://www.npmjs.com/package/csv-parse) document but haven't been able to find any solution, also i've read all read me but still haven't found any solution related to this situatuion



    [ Row {
bankcustomers_id: '154491',
customerid: ' 154491',
title: 'MR ',
firstname: 'Santa ',
lastname: 'Clause ',
dob: '25-Dec-30',
mobileno: '07900 1234567 ',
emailid: 'santa-clause@northpole ',

' }]


above is the output of product by csv parser now my problem is that is there any provision to remove this white space at start and last of charater or consecutive ,,. And how i can get single column value. How i can remove all mention this is there anybody help me out with this



moreover i want to insert each row into data base so how i can read row on this function



    .on('data', (data) =>{
// console.log(data)
results.push(data)
})









share|improve this question































    2















    i've gone through csv-parser (https://www.npmjs.com/package/csv-parse) document but haven't been able to find any solution, also i've read all read me but still haven't found any solution related to this situatuion



        [ Row {
    bankcustomers_id: '154491',
    customerid: ' 154491',
    title: 'MR ',
    firstname: 'Santa ',
    lastname: 'Clause ',
    dob: '25-Dec-30',
    mobileno: '07900 1234567 ',
    emailid: 'santa-clause@northpole ',

    ' }]


    above is the output of product by csv parser now my problem is that is there any provision to remove this white space at start and last of charater or consecutive ,,. And how i can get single column value. How i can remove all mention this is there anybody help me out with this



    moreover i want to insert each row into data base so how i can read row on this function



        .on('data', (data) =>{
    // console.log(data)
    results.push(data)
    })









    share|improve this question



























      2












      2








      2








      i've gone through csv-parser (https://www.npmjs.com/package/csv-parse) document but haven't been able to find any solution, also i've read all read me but still haven't found any solution related to this situatuion



          [ Row {
      bankcustomers_id: '154491',
      customerid: ' 154491',
      title: 'MR ',
      firstname: 'Santa ',
      lastname: 'Clause ',
      dob: '25-Dec-30',
      mobileno: '07900 1234567 ',
      emailid: 'santa-clause@northpole ',

      ' }]


      above is the output of product by csv parser now my problem is that is there any provision to remove this white space at start and last of charater or consecutive ,,. And how i can get single column value. How i can remove all mention this is there anybody help me out with this



      moreover i want to insert each row into data base so how i can read row on this function



          .on('data', (data) =>{
      // console.log(data)
      results.push(data)
      })









      share|improve this question
















      i've gone through csv-parser (https://www.npmjs.com/package/csv-parse) document but haven't been able to find any solution, also i've read all read me but still haven't found any solution related to this situatuion



          [ Row {
      bankcustomers_id: '154491',
      customerid: ' 154491',
      title: 'MR ',
      firstname: 'Santa ',
      lastname: 'Clause ',
      dob: '25-Dec-30',
      mobileno: '07900 1234567 ',
      emailid: 'santa-clause@northpole ',

      ' }]


      above is the output of product by csv parser now my problem is that is there any provision to remove this white space at start and last of charater or consecutive ,,. And how i can get single column value. How i can remove all mention this is there anybody help me out with this



      moreover i want to insert each row into data base so how i can read row on this function



          .on('data', (data) =>{
      // console.log(data)
      results.push(data)
      })






      node.js csv express






      share|improve this question















      share|improve this question













      share|improve this question




      share|improve this question








      edited Jan 3 at 14:18









      TheSearcher

      306




      306










      asked Jan 3 at 14:00









      bipinbipin

      605310




      605310
























          1 Answer
          1






          active

          oldest

          votes


















          1














          Have you tried the ltrim and rtrim options? These will trim whitespace at either end of each field (if the field is not quoted)



          const parse = require('csv-parse')

          const input = `bankcustomers_id,customerid,title,firstname,lastname,dob,mobileno,emailid
          154491, 154491,MR ,Santa ,Clause ,25-Dec-30,07900 1234567 ,santa-clause@northpole `;

          const options = { delimiter: ",", cast: true, columns: true, ltrim: true, rtrim: true};

          parse(input, options, function(err, output){
          console.log(output);
          });


          The output I get is:



          [ { bankcustomers_id: 154491,
          customerid: 154491,
          title: 'MR',
          firstname: 'Santa',
          lastname: 'Clause',
          dob: '25-Dec-30',
          mobileno: '07900 1234567',
          emailid: 'santa-clause@northpole'
          } ]





          share|improve this answer


























          • thanks for you reply I will try it on next day . I have one more concerned will this parser handle lakhs of record if yes what configuration I required to do

            – bipin
            Jan 3 at 17:38






          • 1





            Cool, by lack of records, do you mean empty records? Like ,,,,,,?

            – Terry Lennox
            Jan 3 at 18:36











          • thanks for help my question is .will this parser handle huge CSV file .if yes what extra things require to do

            – bipin
            Jan 4 at 3:52











          • This parser will definitely handle large CSV files, it is used for this purpose by a lot of people! The stream API will ensure scalability, see the docs at csv.js.org/parse/api.

            – Terry Lennox
            Jan 4 at 8:22












          Your Answer






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          1 Answer
          1






          active

          oldest

          votes








          1 Answer
          1






          active

          oldest

          votes









          active

          oldest

          votes






          active

          oldest

          votes









          1














          Have you tried the ltrim and rtrim options? These will trim whitespace at either end of each field (if the field is not quoted)



          const parse = require('csv-parse')

          const input = `bankcustomers_id,customerid,title,firstname,lastname,dob,mobileno,emailid
          154491, 154491,MR ,Santa ,Clause ,25-Dec-30,07900 1234567 ,santa-clause@northpole `;

          const options = { delimiter: ",", cast: true, columns: true, ltrim: true, rtrim: true};

          parse(input, options, function(err, output){
          console.log(output);
          });


          The output I get is:



          [ { bankcustomers_id: 154491,
          customerid: 154491,
          title: 'MR',
          firstname: 'Santa',
          lastname: 'Clause',
          dob: '25-Dec-30',
          mobileno: '07900 1234567',
          emailid: 'santa-clause@northpole'
          } ]





          share|improve this answer


























          • thanks for you reply I will try it on next day . I have one more concerned will this parser handle lakhs of record if yes what configuration I required to do

            – bipin
            Jan 3 at 17:38






          • 1





            Cool, by lack of records, do you mean empty records? Like ,,,,,,?

            – Terry Lennox
            Jan 3 at 18:36











          • thanks for help my question is .will this parser handle huge CSV file .if yes what extra things require to do

            – bipin
            Jan 4 at 3:52











          • This parser will definitely handle large CSV files, it is used for this purpose by a lot of people! The stream API will ensure scalability, see the docs at csv.js.org/parse/api.

            – Terry Lennox
            Jan 4 at 8:22
















          1














          Have you tried the ltrim and rtrim options? These will trim whitespace at either end of each field (if the field is not quoted)



          const parse = require('csv-parse')

          const input = `bankcustomers_id,customerid,title,firstname,lastname,dob,mobileno,emailid
          154491, 154491,MR ,Santa ,Clause ,25-Dec-30,07900 1234567 ,santa-clause@northpole `;

          const options = { delimiter: ",", cast: true, columns: true, ltrim: true, rtrim: true};

          parse(input, options, function(err, output){
          console.log(output);
          });


          The output I get is:



          [ { bankcustomers_id: 154491,
          customerid: 154491,
          title: 'MR',
          firstname: 'Santa',
          lastname: 'Clause',
          dob: '25-Dec-30',
          mobileno: '07900 1234567',
          emailid: 'santa-clause@northpole'
          } ]





          share|improve this answer


























          • thanks for you reply I will try it on next day . I have one more concerned will this parser handle lakhs of record if yes what configuration I required to do

            – bipin
            Jan 3 at 17:38






          • 1





            Cool, by lack of records, do you mean empty records? Like ,,,,,,?

            – Terry Lennox
            Jan 3 at 18:36











          • thanks for help my question is .will this parser handle huge CSV file .if yes what extra things require to do

            – bipin
            Jan 4 at 3:52











          • This parser will definitely handle large CSV files, it is used for this purpose by a lot of people! The stream API will ensure scalability, see the docs at csv.js.org/parse/api.

            – Terry Lennox
            Jan 4 at 8:22














          1












          1








          1







          Have you tried the ltrim and rtrim options? These will trim whitespace at either end of each field (if the field is not quoted)



          const parse = require('csv-parse')

          const input = `bankcustomers_id,customerid,title,firstname,lastname,dob,mobileno,emailid
          154491, 154491,MR ,Santa ,Clause ,25-Dec-30,07900 1234567 ,santa-clause@northpole `;

          const options = { delimiter: ",", cast: true, columns: true, ltrim: true, rtrim: true};

          parse(input, options, function(err, output){
          console.log(output);
          });


          The output I get is:



          [ { bankcustomers_id: 154491,
          customerid: 154491,
          title: 'MR',
          firstname: 'Santa',
          lastname: 'Clause',
          dob: '25-Dec-30',
          mobileno: '07900 1234567',
          emailid: 'santa-clause@northpole'
          } ]





          share|improve this answer















          Have you tried the ltrim and rtrim options? These will trim whitespace at either end of each field (if the field is not quoted)



          const parse = require('csv-parse')

          const input = `bankcustomers_id,customerid,title,firstname,lastname,dob,mobileno,emailid
          154491, 154491,MR ,Santa ,Clause ,25-Dec-30,07900 1234567 ,santa-clause@northpole `;

          const options = { delimiter: ",", cast: true, columns: true, ltrim: true, rtrim: true};

          parse(input, options, function(err, output){
          console.log(output);
          });


          The output I get is:



          [ { bankcustomers_id: 154491,
          customerid: 154491,
          title: 'MR',
          firstname: 'Santa',
          lastname: 'Clause',
          dob: '25-Dec-30',
          mobileno: '07900 1234567',
          emailid: 'santa-clause@northpole'
          } ]






          share|improve this answer














          share|improve this answer



          share|improve this answer








          edited Jan 3 at 15:24

























          answered Jan 3 at 15:18









          Terry LennoxTerry Lennox

          5,3592718




          5,3592718













          • thanks for you reply I will try it on next day . I have one more concerned will this parser handle lakhs of record if yes what configuration I required to do

            – bipin
            Jan 3 at 17:38






          • 1





            Cool, by lack of records, do you mean empty records? Like ,,,,,,?

            – Terry Lennox
            Jan 3 at 18:36











          • thanks for help my question is .will this parser handle huge CSV file .if yes what extra things require to do

            – bipin
            Jan 4 at 3:52











          • This parser will definitely handle large CSV files, it is used for this purpose by a lot of people! The stream API will ensure scalability, see the docs at csv.js.org/parse/api.

            – Terry Lennox
            Jan 4 at 8:22



















          • thanks for you reply I will try it on next day . I have one more concerned will this parser handle lakhs of record if yes what configuration I required to do

            – bipin
            Jan 3 at 17:38






          • 1





            Cool, by lack of records, do you mean empty records? Like ,,,,,,?

            – Terry Lennox
            Jan 3 at 18:36











          • thanks for help my question is .will this parser handle huge CSV file .if yes what extra things require to do

            – bipin
            Jan 4 at 3:52











          • This parser will definitely handle large CSV files, it is used for this purpose by a lot of people! The stream API will ensure scalability, see the docs at csv.js.org/parse/api.

            – Terry Lennox
            Jan 4 at 8:22

















          thanks for you reply I will try it on next day . I have one more concerned will this parser handle lakhs of record if yes what configuration I required to do

          – bipin
          Jan 3 at 17:38





          thanks for you reply I will try it on next day . I have one more concerned will this parser handle lakhs of record if yes what configuration I required to do

          – bipin
          Jan 3 at 17:38




          1




          1





          Cool, by lack of records, do you mean empty records? Like ,,,,,,?

          – Terry Lennox
          Jan 3 at 18:36





          Cool, by lack of records, do you mean empty records? Like ,,,,,,?

          – Terry Lennox
          Jan 3 at 18:36













          thanks for help my question is .will this parser handle huge CSV file .if yes what extra things require to do

          – bipin
          Jan 4 at 3:52





          thanks for help my question is .will this parser handle huge CSV file .if yes what extra things require to do

          – bipin
          Jan 4 at 3:52













          This parser will definitely handle large CSV files, it is used for this purpose by a lot of people! The stream API will ensure scalability, see the docs at csv.js.org/parse/api.

          – Terry Lennox
          Jan 4 at 8:22





          This parser will definitely handle large CSV files, it is used for this purpose by a lot of people! The stream API will ensure scalability, see the docs at csv.js.org/parse/api.

          – Terry Lennox
          Jan 4 at 8:22




















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