Thanks Ayan. That only works for extra characters like ^ characters etc. Unfortunately it does not cure specific character sets.
cheers Dr Mich Talebzadeh LinkedIn * https://www.linkedin.com/profile/view?id=AAEAAAAWh2gBxianrbJd6zP6AcPCCdOABUrV8Pw <https://www.linkedin.com/profile/view?id=AAEAAAAWh2gBxianrbJd6zP6AcPCCdOABUrV8Pw>* http://talebzadehmich.wordpress.com *Disclaimer:* Use it at your own risk. Any and all responsibility for any loss, damage or destruction of data or any other property which may arise from relying on this email's technical content is explicitly disclaimed. The author will in no case be liable for any monetary damages arising from such loss, damage or destruction. On 17 November 2016 at 13:59, ayan guha <guha.a...@gmail.com> wrote: > There is an utility called dos2unix. You can give it a try > > On 18 Nov 2016 00:20, "Jörn Franke" <jornfra...@gmail.com> wrote: > > > > You can do the conversion of character set (is this the issue?) as part > of your loading process in Spark. > > As far as i know the spark CSV package is based on Hadoop > TextFileInputformat. This format to my best of knowledge supports only > utf-8. So you have to do a conversion from windows to utf-8. If you refer > to language specific settings (numbers, dates etc) - this is also not > supported. > > > > I started to work on the hadoopoffice library (which you can use with > Spark) where you can read Excel files directly ( > https://github.com/ZuInnoTe/hadoopoffice).However, there is no official > release - yet. There you can specify also the language in which you want to > represent data values, numbers etc. when reading the file. > > > > On 17 Nov 2016, at 14:11, Mich Talebzadeh <mich.talebza...@gmail.com> > wrote: > > > >> Hi, > >> > >> In the past with Databricks package for csv files on occasions I had to > do some cleaning at Linux directory level before ingesting CSV file into > HDFS staging directory for Spark to read it. > >> > >> I have a more generic issue that may have to be ready. > >> > >> Assume that a provides using FTP to push CSV files into Windows > directories. The whole solution is built around windows and .NET. > >> > >> Now you want to ingest those files into HDFS and process them with > Spark CSV. > >> > >> One can create NFS directories visible to Windows server and HDFS > as well. However, there may be issues with character sets etc. What are the > best ways of handling this? One way would be to use some scripts to make > these spreadsheet time files compatible with Linux and then load them into > HDFS. For example I know that if I saved a Excel spresheet file with DOS > FORMAT, that file will work OK with Spark CSV. Are there tools to do this > as well? > >> > >> Thanks > >> > >> > >> Dr Mich Talebzadeh > >> > >> > >> > >> LinkedIn https://www.linkedin.com/profile/view?id= > AAEAAAAWh2gBxianrbJd6zP6AcPCCdOABUrV8Pw > >> > >> > >> > >> http://talebzadehmich.wordpress.com > >> > >> > >> Disclaimer: Use it at your own risk. Any and all responsibility for any > loss, damage or destruction of data or any other property which may arise > from relying on this email's technical content is explicitly disclaimed. > The author will in no case be liable for any monetary damages arising from > such loss, damage or destruction. > >> > >> >
