JSON to Spark

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.

Options

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.
Primitives
Convert primitives into Strings.
Comments
Allow comments.
Fieldnames
Allow unquoted fieldnames.
Quotes
Feature that determines whether parser will allow use of single quotes (apostrophe, character '\'') for quoting Strings (names and String values).
Numerics
  • 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

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

Output Ports

Icon
Spark DataFrame/RDD

Views

This node has no views

Workflows

  • No workflows found

Links

Developers

You want to see the source code for this node? Click the following button and we’ll use our super-powers to find it for you.