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A meta collection about KNIME and performance and performance tuning and some problems

Knime Performance Slow Tweak Heap
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A meta collection about KNIME and performance and performance tuning and some problems

External resources

  • Start with the official blog about KNIME performance
  • Additional thread about performance and collection of links
  • If you are stuck and KNIME is not responding or behaving strangely try a clean restart *once*
  • Write table to disk and check Java heap space as options to deal with performance issues
  • Check your virus scanner if it hinders performance
  • Think about using the Cache node at certain points and you might run the Java Garbage Collector to free meomory
  • Tweak the internal storage (format) of KNIME workflows
  • Be aware that some configurations of MS OneDrive might not support all the spacial chacaters like hash (#) that KNIME workflows need
  • Also sometimes there are problems with these 'snappy' files. Switching the internal storage option might help
  • You can also try out the new "Columnar Table Backend" (based on Parquet) for internal storage
  • On MacOS make sure that KNIME has all the necessary access rights
  • KNIME and Spark 1
  • KNIME and Spark 2
  • Streaming data in KNIME
  • Save and don't save data in a workflow
  • Create your own backup system with KNIME and ZIP
  • Column rename node is not good to change the column type (sorry)
  • KNIME and Backup - think about protecting your work(flows)
  • Long entry and thread about performance and KNIME "Process 900+ CSV files"
  • Check your installation (on a Windows machine use the .ZIP file if in doubt) - share debug log with the community or support
  • To speed up large data processing think about 'streaming' or using Parquet or ORC files (partitioned files)
  • Find the KNIME temporary files and folders
  • Create path variables in KNIME

Used extensions & nodes

All required extensions are part of the default installation of KNIME Analytics Platform version 4.6.3

No known nodes available

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