Data Pipeline’s query engine allows you to use XPath to query XML, JSON, and Java objects. This walkthrough will show you how to query Java objects using XPath and save the results to a CSV file. While the reading and writing will be done with the JavaBeanReader and CSVWriter classes, you can swap out the CSVWriter for any other endpoint or transformation that Data Pipeline supports. Continue reading
How To Transfer Columns From One CSV File Into Another Using Java
This blog will show you how to pull selected columns from a CSV file containing IP geolocation data and save them into a second CSV file using our Data Pipeline Java library. As part of the transformation, you’ll also have the option to rearrange the order of the resulting columns.
Import CSV and Excel to Java Web Apps with Data Pipeline
This blog will demonstrate how to upload Excel and CSV files into a database while using Data Pipeline to handle the differences in format and structure of the individual files. Continue reading
Data Pipeline 2.3 Now Available
- added streaming JSON reading and writing (simple and template based)
- added SimpleXmlWriter
- improved handling of recursive XML-to-records
- added user-definable demux strategies
- DeMuxReader is no longer a public class since it should not be reference directly
- improved exception handling in JdbcReader
- BUGFIX: JavaBeanReader now handles xpath for recursive text children
- updated Apache POI to v3.9
- IncludeFields & ExcludeFields now accept a collection of field names in their constructor and add method
- added JdbcReader.useColumnLabel property to allow fields to be named using the column labels (or aliases) instead of the underlying, real column names
- added Excel 2007 provider (POI_XSSF)
Excel handling now defaults to the Apache POI_XSSF (Excel 2007) provider, instead of POI (Excel 2003) - added FixedWidthField.align to allow left-filled (right aligned) fields
- added FixedWidthField.fillChar to allow fields to specify a different filler from their reader/writer
- reduced memory overhead for fields and records
- CSV performance improvements
- exception property values now truncated to 256 chars
- using StringBuilder (instead of StringBuffer) internally to improve performance
Generate Data Migration Java Code with Data Pipeline Builder
Data Pipeline Builder – our new web GUI – is now available in early access. DPB generates Java code for Data Pipeline by letting you configure your inputs, outputs, and transformations.
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6 Tips to Improve Your Exception Handling
Updated: July 2021
Proper exception handling can save you days in troubleshooting. Unexpected production issues can ruin anyone’s dinner and weekend plans, at any time. Furthermore, your reputation is on the line if you can’t resolve them quickly. A clear policy on exception management will save you diagnosis, reproduction, and correction time. What’s most important, it will give you peace of mind (and some hours back!).
Here are 6 tips on how you too can improve your exception handling.
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Help us Design a Data Conversion and Transformation UI for Java Apps
We’re finally tackling a UI for Data Pipeline. Over the next few weeks, we’ll be drawing up plans and working on the first iteration/MVP (Minimum Viable Product) of Data Pipeline Builder, our online code generator. Continue reading
Export CSV and Excel from Java web apps With Data Pipeline
Updated: July 2021
This article will demonstrate how to download CSV (comma-separated values) and Excel data from Java web applications using Data Pipeline. It will also show one way to plug Data Pipeline into your JSPs.
Data Pipeline is often used in non-GUI applications to move data from one place/format to another. However, Data Pipeline can just as easily be plugged into your web, mobile, and desktop applications. Being as lightweight and Java-centric as it is, it is perfect for handling your data conversion and manipulation use-cases.
Data Pipeline 2.2.8 Now Available
- added TemplateWriter for writing text streams using FreeMarker templates
- added new examples for writing XML and HTML files using TemplateWriter
- BUGFIX: XmlWriter’s (XmlTemplate, File) constructor now calls setFieldNamesInFirstRow(false) by default
- BUGFIX: The JxlProvider now converts intervals and user-defined types to string when generating Excel files
- Intervals are no longer converted to strings when added to a field/record
- BasicFieldTransformer can now convert numbers to intervals (seconds, months, days, minutes, etc.)
- JdbcWriter now has public accessors for connection, tableName, batchMode, and jdbcTypes
- individual fields can now be removed from a FieldList
- FieldList can now accept collections of strings
- updated Apache POI to v3.8
Data Pipeline 2.2.7 Now Available
- added JdbcMultiWriter for multi-threaded writing to one or more database connections concurrently
- added multi-threaded AsyncWriter to compliment AsyncReader
- data writers now have an available() method to indicate the number of records that can probably be written without blocking
- MultiWriter now supports configurable write strategies (ReplicateWriteStrategy, RoundRobinWriteStrategy, AvailableCapacityWriteStrategy, and user defined)
- added support for CLOB fields (see JdbcValueReader.DEFAULT)
- Field and Record’s toString() methods now limit displayed strings to the first 128 characters
- RecordMeter is now public and returned by MeteredReader and MeteredWriter’s getMeter() method
- BUGFIX: record count is no longer off by 1 in some cases