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JSON to Spark

KNIME Extension for Apache Spark core infrastructure version 4.2.0.v202007072005 by KNIME AG, Zurich, Switzerland

Creates a Spark DataFrame/RDD from given JSON file. See Jackson JSON Parser documentation for more information.

Notice: This feature requires at least Apache Spark 1.5.


Sampling ratio
Infer the type of a collection of JSON records in three stages:
  1. Sample given amount of records and infer the type.
  2. Merge types by choosing the lowest type necessary to cover equal keys.
  3. Replace any remaining null fields with string, the top type.
Convert primitives into Strings.
Allow comments.
Allow unquoted fieldnames.
Feature that determines whether parser will allow use of single quotes (apostrophe, character '\'') for quoting Strings (names and String values).
  • Allow numeric leading zeros: Feature that determines whether parser will allow JSON integral numbers to start with additional (ignorable) zeroes (like: 000001).
  • Allow non numeric numbers: Feature that allows parser to recognize set of "Not-a-Number" (NaN) tokens as legal floating number values (similar to how many other data formats and programming language source code allows it). Supported tokens: INF, -INF, Infinity, -Infinity and NaN.

Input Ports

Spark compatible connection (HDFS, WebHDFS, HttpFS, S3, Blob Storage, ...)
Required Spark context.

Output Ports

Spark DataFrame/RDD

Best Friends (Incoming)

Best Friends (Outgoing)


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