coderz.py

Keep Coding Keep Cheering!

Newline Delimited json Format

Mulesoft

Newline Delimited json Format

NDJSON is a convenient format for storing or streaming structured data that may be processed one record at a time. It works well with unix-style text processing tools and shell pipelines. It’s a great format for log files. It’s also a flexible format for passing messages between cooperating processes.

ndjson Newline Delimited JSON

This page describes the ndjson format, also called Newline delimited JSON. NDJSON is a convenient format for storing or streaming structured data that may be processed one record at a time. It works well with unix-style text processing tools and shell pipelines. It’s a great format for log files. It’s also a flexible format for passing messages between cooperating processes.

1. Line Separator is ‘\n’

This means ‘\r\n’ is also supported because trailing white space is ignored when parsing JSON values.

2. Each Line is a Valid JSON Value

The most common values will be objects or arrays, but any JSON value is permitted. See json.org for more information about JSON values.

Newline Delimited JSON (ndjson) Format

MIME type: application/x-ndjson

ID: ndjson

DataWeave represents the Newline Delimited JSON format (ndjson) as an array of objects. Each line of the ndjson format is mapped to one object in the array.

The following parser strategies are supported by the ndjson reader:

  • In-memory
  • Streaming

For details, see DataWeave Readers.

Examples

The following examples show uses of the ndjson format.

Example

This example shows how DataWeave represents a simple ndjson input.

Input

{“name”: “Leandro”,”lastName”: “Shokida”}

{“name”: “Mariano”,”lastName”: “De Achaval”}

Source

The DataWeave script transforms the ndjson input to the DataWeave (dw) format and MIME type.

%dw 2.0

output application/dw

payload

Output

The DataWeave (dw) format outputs the ndjson input into an array of comma-separated objects.

[

    {“name”: “Leandro”,”lastName”: “Shokida”},

    {“name”: “Mariano”,”lastName”: “De Achaval”}

]

Example

This example shows that the ndjson reader ignores all lines of ndjson data that are invalid if skipInvalid=true.

Input

The input to the DataWeave source includes valid and invalid lines of ndjson data. Assume that the input is from a file myInput.ndjson.

myInput.ndjson:

{“name”: “Christian”

{“name”: “Mariano”}

{“name”: “Tomo”

{“name”: “Shoki”}

Source

The DataWeave script inputs the contents of the input file myInput.ndjson, applies the skipInvalid=true reader property, and transforms the input to the JSON format and MIME type.

%dw 2.0

var myInput = readUrl(‘classpath://myInput.ndjson’, ‘application/x-ndjson, {skipInvalid=true})

output application/json

myInput

Output

The JSON output is an array of the valid objects from the ndjson input.

[

  {

    “name”: “Mariano”

  },

  {

    “name”: “Shoki”

  }

]

Configuration Properties

DataWeave supports the following configuration properties for this format.

Reader Properties

This format accepts properties that provide instructions for reading input data.

ParameterTypeDefaultDescription
ignoreEmptyLineBooleantrueIgnores empty lines.Valid values are true or false.
skipInvalidBooleanfalseSkips invalid records and ignores values that are not valid in this format.Valid values are true or false.

Writer Properties

This format accepts properties that provide instructions for writing output data.

ParameterTypeDefaultDescription
bufferSizeNumber8192Size of the buffer writer.
deferredBooleanfalseGenerates the output as a data stream when set to true, and defers the script’s execution until consumed.Valid values are true or false.
encodingString‘UTF-8’The character set to use for the output, such as UTF-8.
skipNullOnStringnullSkips null values. By default, DataWeave does not skip.arrays
Ignore and omit null values inside arrays from the JSON output, for example, with output application/x-ndjson skipNullOn=”arrays”.

objects
Ignore key-value pairs that have null as the value, for example, with output application/x-ndjson skipNullOn=”objects”.

everywhere
Apply skipNullOn to arrays and objects, for example, output application/x-ndjson skipNullOn=”everywhere”.

Valid values are arrays or objects or everywhere.
writeAttributesBooleanfalseConverts attributes of a key into child key-value pairs of that key. The attribute key name starts with @.Valid values are true or false.

Supported MIME Types

This format supports the following MIME types.

MIME Type
application/x-ndjson
application/x-ldjson

Follow Me

If you like my post please follow me to read my latest post on programming and technology.

Instagram

Facebook

Leave a Comment

Your email address will not be published. Required fields are marked *

Advertisement