This should include JVMs on x86_64 and ARM64. Linux, Mac OS), and it should run on any platform that runs a supported version of Java. Spark runs on both Windows and UNIX-like systems (e.g. Scala and Java users can include Spark in their projects using its Maven coordinates and Python users can install Spark from PyPI. Users can also download a “Hadoop free” binary and run Spark with any Hadoop version Downloads are pre-packaged for a handful of popular Hadoop versions. Spark uses Hadoop’s client libraries for HDFS and YARN. This documentation is for Spark version 3.5.0. The second argument to onFileLoaded will be an object with infos about loaded file.Get Spark from the downloads page of the project website. That parsed data is returned to the parent component with onFileLoaded function (it will be passed as an argument). When the file has been loaded, it will be parsed with PapaParse from a CSV formatted text to a matrix of strings or a list of objects (using header option). Throws error on onError if file type is different from accept. ( required) The function to be called passing loaded results, see below.Ī name attribute to be applied to the element. If present, it will be rendered in a to describe input aim. getElementById ( 'root' ) ) Parameters NameĪ CSS class to be applied to the wrapper element.Ī CSS class to be applied to the element.
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