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  • Data Integration Connectors
  • All Products

Table of Contents

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  1. Preface
  2. Introduction to Amazon S3 V2 Connector
  3. Connections for Amazon S3 V2
  4. Amazon S3 V2 sources and targets
  5. Mappings and mapping tasks with Amazon S3 V2
  6. Migrating a mapping
  7. Upgrading to Amazon S3 V2 Connector
  8. Data type reference
  9. Troubleshooting

Amazon S3 V2 Connector

Amazon S3 V2 Connector

Back Next

Reading a compressed flat file

Reading a compressed flat file

When you
run a mapping to
 read data from a compressed flat file, you must upload a schema file and select
Gzip
 as the compression format. Use the
.GZ
 file name extension when you use the
Gzip
 compression format to read data from a flat file.
  1. Select the required compressed flat file.
  2. Navigate to
    Formatting Options
     property field.
  3. Select the
    Import from schema file
     option and upload the schema.
    The following figure shows a sample schema file for a flat file: 
    {"Columns":[{"Name":"f_varchar","Type":"string","Precision":"256","Scale":"0"},{"Name":"f_char","Type":"string","Precision":"256","Scale":"0"},{"Name":"f_smallint","Type":"string","Precision":"256","Scale":"0"},{"Name":"f_integer","Type":"string","Precision":"256","Scale":"0"},{"Name":"f_bigint","Type":"string","Precision":"256","Scale":"0"},{"Name":"f_decimal_default","Type":"string","Precision":"256","Scale":"0"},{"Name":"f_real","Type":"string","Precision":"256","Scale":"0"},{"Name":"f_double_precision","Type":"string","Precision":"256","Scale":"0"},{"Name":"f_boolean","Type":"string","Precision":"256","Scale":"0"},{"Name":"f_date","Type":"string","Precision":"256","Scale":"0"},{"Name":"f_timestamp","Type":"string","Precision":"256","Scale":"0"}]}
  4. Select
    Compression Format
     as
    GZIP
     from the advanced source properties.
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